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No 253 – March 2017
Climate Change Challenges, Smallholder
Commercialization and Progress out Poverty in Ethiopia
Gutu T. Boka
Editorial Committee
Shimeles, Abebe (Chair) Anyanwu, John C. Faye, Issa Ngaruko, Floribert Simpasa, Anthony Salami, Adeleke O. Verdier-Chouchane, Audrey
Coordinator
Salami, Adeleke O.
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Correct citation: Boka, Gutu T. (2017), Climate Change Challenges, Smallholders’ Commercialization, and Progress out of Poverty
in Ethiopia, Working Paper Series N° 253, African Development Bank, Abidjan, Côte d’Ivoire.
Climate Change Challenges, Smallholder
Commercialization and Progress out Poverty in
Ethiopia
Gutu T. Bokaa
a Visiting Research Fellow, Macroeconomics Policy, Forecasting and Research Department, African
Development Bank (AfDB) Abidjan, Cote d’Ivoire and Assistant professor at Ambo University, Ethiopia. The
author extends his deepest appreciation to the African Development Bank (AfDB) and the African Economic
Research Consortium (AERC) for opening up and financing this fellowship opportunity. He expresses his
gratitude to Dr. Balgis Osman-Elasha as well for her professional supports and comments as the research mentor.
Prof. John C Anyanwu also deserves thanks for his continuous support. The author is also indebted to the support
of World Vision Ethiopia in facilitating logistics for field visit to the study sites for the second round in June 2016.
Usual disclaimer applies.
AFRICAN DEVELOPMENT BANK GROUP
Working Paper No. 253
March 2017
Office of the Chief Economist
Abstract
In Ethiopia, smallholder farmers’
commercialization and integration into
the market has been one of the policy
directions to ensure households’
progress out of poverty and maintain the
sustainable development trajectory. A
lot of progress has been made in this
endeavor over the past couple of decades.
However, market participation and
degrees of commercialization still
remained unsolved puzzle. This paper
investigates smallholders’ market
participation, degree of
commercialization and the linkage to
poverty reduction using a survey of 453
HH in central part of Ethiopia.
Household Commercialization Index
(HCI) approach was used to measure
degree of commercialization, while a
double hurdle regression model was
employed to identify the key
determinants for market participation
and degree of commercialization. Then
the relationship between
commercialization and poverty was
examined by using logistic regression.
The result indicates that significant
proportion of HHs was out of a product
market and the degree of
commercialization still remains very low.
While poverty has opposite relationship
to market participation, it was found to
be better influenced by other factors
than degree of commercialization.
JEL Classification: Q01, Q12, Q16, Q18
Key words: Climate change, degree of commercialization, market participation, double
hurdle, logistic regression, Ethiopia
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1. INTRODUCTION
1.1 Background
Given the livelihood options outside smallholder farming for the largest set of the population in
developing countries and in recognition of the potential for market to unlock economic growth and
development gave rise to market led rural development paradigm during the 1980s (Timmer,
1997). For this purpose policies were once again trending in favor to support smallholder farmers
and their livelihood development as a key driver of poverty reduction. For several decades,
attention was given to the improvement of production and productivity so as to pave the ways for
smallholder commercialization. That was based on the evidences from around the word that
smallholder farming, which is the predominant source of livelihoods was seen to be as efficient as
larger farms when farmers have received similar support services and inputs (seed, fertilizer, and
credit) so as to improve their production and productivity (World bank, 2007). That is why many
countries and international development agencies were giving due concern to intensification and
commercialization of smallholder farming as a means of achieving poverty reduction in their
official policies (Leavy, and Poulton, 2007).
Agricultural sector contributes about 43% of the Gross Domestic Product (GDP), 80% of
employment, and 90% of export (Demese et al., 2010). Smallholder farmers account for more than
85% of the rural population that relies on agricultural production. Ethiopia has liberalized its
economy and developed poverty reduction strategies that underpin market-led strategies for broad
based agricultural development and economic growth. Within the broader strategy, smallholder
farming is believed to be the key to livelihoods of many rural households. Given the total sum of
the population that directly and indirectly make their livelihoods from the sector; its development
is viewed as a means to improve the living standards of smallholders and generate economic
growth. However, the production is still characterized by low output, poor access to land, poor
access to inputs, poor irrigation system, little access to know-how (risk management, technology,
and skill), low level of market orientation, poor infrastructure and under developed institutions
(Aman et al, 2014 quoted from Bezabih and Hadera, 2007; CSA, 2009; MoFED, 2005; Moti, 2007;
Tilaye, 2010).
The Ethiopia’s Growth and Transformation Plan I (GTP I) (2010/11-2014/15) retained agricultural
sector growth as the prime driver of economic growth. The sector’s strategy was further informed
by the Agriculture Growth Program (AGP) and lessons drawn from implementation of the past
development plans. The agricultural strategy directed on placing major effort to support the
intensification of marketable farm products both for domestic and export markets, and by small
and large farmers. Fundamentals of the strategy included the shift to produce high value crops, a
special focus on high-potential areas, facilitating the commercialization of smallholder agriculture,
and supporting the development of large-scale commercial agriculture where it was feasible. In
order to ensure this transformation, ranges of public investments were set within the plan for
continued scale-up of the successes registered in the past. Transparent and efficient agricultural
marketing system were attempted to be strengthened. Investment in marketing infrastructure was
also made to increase (FDRE, 2010). Similarly under current GTP II (2015/16 – 2019/2020) the
same plan is made to mobilize all possible efforts to ensure adequate agricultural input supply and
strengthen agricultural extension services, so as to boast productivity and then commercialization.
This clearly indicates that agriculture continue to be source of growth and poverty reduction. Under
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the new plan, commercialization of agriculture is given due emphasis in preparation of the path to
manufacturing industry led economic growth during the following 5 years’ plan.
Smallholder commercialization typically leads to an increased diversity of marketed commodities
at the national level and increased specialization at regional and farm levels. Markets allow
households to increase their incomes by producing that which provides the highest returns to land
and labour and then use the cash to buy household consumption items rather than being constrained
to produce all the goods that the household needs to consume. In the long run, subsistence
agriculture may not be a viable activity to ensure sustainable household food security and welfare.
In this regard commercializing smallholder agriculture is an indispensable pathway towards
economic growth and development of Ethiopian farmers in their progress out of poverty.
Therefore, there is a need to identify the degree and driving forces of commercialization of
smallholder farming and possible areas of intervention. Such analysis will help to design
appropriate instruments, institutions and other interventions for sustainable economic development
of smallholder farmers (Ele, et al 2013; quoted from Abera (2009); Braun (1995); and Pingali and
Rosegrant (1995).
Even though smallholder commercialization as means of agricultural sector transformation in
Ethiopia is said of received huge investment for many decades, and in spite of the increasing trend
in food crop production, commercialization of smallholder farming is not yet high enough to
enable farmers benefit from increased income and stimulate rural growth in the study area as well
as in the country as a whole. Farmers are still undertaking subsistence farming and unable to cop
up with price and climate change induced shocks and stresses.
1.2 Value Additions and Relevance to the AfDB’s High 5s
Agriculture and its commercialization plays a dominant role in supporting rural livelihoods and
economic growth over most of Africa As the countries continue to depend on this sector for their
economic progress as well as livelihood development of their nations, the relevance of
commercializing and integrating smallholder to market remains a priority. As the largest segment
of the population make their livelihoods directly from the sector, the sector’s development through
innovation, technology, and market orientation would present sustainable poverty reduction and
achievement of the sustainable development Goals.
As a means to ensure reduction of poverty, promotion of sustainable development and bringing
complete transformation of Africa, the African Development Bank Group has set priority areas of
engagement for the 2013–2022 strategic period. On September 1, 2015, the eighth elected
President of the African Development Bank Group, set down a new agenda for the Bank Group.
These agendas are called the high fives development priorities for the institution. The High 5s are
to: Light up and Power Africa; Feed Africa; Industrialize Africa; Integrate Africa; and Improve
the Quality of Life for the People of Africa. These focus areas are essential in transforming the
lives of the African people and therefore consistent with the United Nations agenda on Sustainable
Development Goals. (SDGs).
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This renewed commitment and refinement of the high 5s reinforces the choices of the last five
years, building on lessons learned and addressing the challenges of tomorrow. It is a strategy that
provides a response to sustainable and inclusive growth, whereby inclusive entails addressing the
wider poor communities across the continent. The bank’s strategy of the high 5s is found on two
major objectives, one of which is inclusive growth. Africa’s gradual transition to “green growth”
will protect livelihoods, improve water, energy and food security, promote the sustainable use of
natural resources and spur innovation, job creation and economic development. Hence at the core
is the building of the improvement of the life and livelihoods of nations and nationalities. It is
against this priority of the bank that this research focused on the market participation and degree
of smallholder commercialization as a strategy to reduce poverty, given the prevailing agricultural
logistics and climate change challenges.
In view of this, the paper is devoted to address the following specific objectives: a) to examine
households’ market participation decision, b) to measure the degree of commercialization among
smallholder farmers in light of the prevailing climate and logistic challenges, c) to analyzes the
impact of commercialization on household poverty level and finally the research attempts to
develop a comprehensive framework for measuring smallholders’ participation in a market and
their level of commercialization. The value addition of this paper over those earlier works will be
that it brings in variables related to climate variability and agricultural logistics clearly in the
measurement of commercialization level and household poverty.
2. LITERATURE REVIEW
2.1 Basic Concepts of Smallholder Commercialization
Commercialization as a concept is multi-dimensional and no one definition has been able to
capture all its facets. The definitions differ in focus and breadth, which has also influenced its
measurement. It is more than whether or not a cash crop is present in a production system (von
Braun et al., 1994). Sometimes a proportion of the so called traditional food crops are sold while
on the other hand, some proportions of the so called traditional cash crops are retained for home
consumption. Similarly, agricultural commercialization is more than marketing agricultural
outputs because commercialization can also occur on the input side with use of purchased inputs
in agricultural production (von Braun et al., 1994).
Pingali and Rosegrant (1995) and Pingali (1997) defined agricultural commercialization as “when
household decisions on product choice and input use are made based on the principles of profit
maximization”. Therefore, commercialization takes place when households purposively target
markets in their production decisions rather than being simply related to the amount they are likely
to sell as a result of surplus production. In other words, commercialization occurs when production
is in response to market signals and on the basis of comparative advantage, whereas subsistence
production is on the basis of production feasibility and subsistence requirements with only surplus
product sold after meeting own consumption needs. Hence, commercialization by many authors is
taken to be a deliberate action on the part of the agricultural producers of their own free will or by
means of coercion to use the land, labour, implements and other inputs in such a way that a greater
or smaller part of the crops and/or animals produced is for exchange or sale (Ele, 2013; Okezie et
al, 2008).
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From methodological and analytical perspective, Berhanu and Moti (2010) broadened the concept
of agricultural commercialization by asserting that it is a combination of both market orientation
and market participation. Market orientation in this context is defined as agricultural production
decision based on market signals while on the other hand, market participation is simply the
produce offered for sale and use of purchased inputs. From this approach, market orientation seems
to be more inclined toward profit maximization while market participation appears to aim at utility
maximization. Therefore, commercialization is a combination of market oriented production and
the actual amount bought from or offered to the market for sale. However, most agricultural
commercialization literature makes little distinction between market orientation and market
participation
Other bodies of the wider literature broadly defined commercialization as having greater
engagement with markets, either for inputs, outputs, or both by small family farms. For example
Govereh et al, (1999) defined agricultural commercialization as “the proportion of agricultural
production that is marketed”. Agricultural commercialization aims to bring about a shift from
production for solely domestic consumption to production dominantly market oriented. In line
with this definition, Sokoni (2007) defined commercialization of smallholder production as “a
process involving the transformation from production for household subsistence to production for
the market”. Moreover, Hazell et al, (2007) found out that most definitions refer to agricultural
commercialization as “the degree of participation in the output markets with much on cash
incomes”.
On the other hand Jennifer and Tina (2014) consider commercialization as constructed of two
indices, which include the number of food crops produced and cash crops produced that allows
production diversity, with cash crops such as chat, coffee, cotton, ‘enset’ (false banana), hops
(‘gesho’), sugar cane, tea, tobacco, and sisal.
Therefore from the above concepts of smallholder commercialization, it is understandable that
commercialization involves two steps; the first being the participation in input and output market
and the second involving the degree of participation in a market. The latter is usually measured by
the amount of the staple products and commercial outputs produced and offered to the market as
compared to the total production. Thus it can be concluded that most commonly commercialization
occurs in peasant agriculture is through production of marketable surplus of staple food over what
is needed for own consumption. Another form of commercialization involves production of cash
crops in addition to staples or even exclusively.
2.2 Polices and Strategies of Smallholder Commercialization
Policy makers have recognized the importance of increased smallholder market participation
(commercialization) in improving agricultural productivity and thereby tackling national poverty
and food insecurity (Republic of Kenya, 2010). This recognition is justified on the basis that many
of the African economy is heavily dependent on the agricultural sector which contributes
significantly to Gross Domestic Product (GDP) and accounts for over 75% of the national
employment (Republic of Kenya, 2005) –This is a clear indication of the low labour productivity
in the country’s agricultural sector.
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In this regard commercialization of smallholder agricultural producers through increased
participation in output markets has been promoted as one of the best strategy to address low
agricultural productivity that has led to high levels of poverty and food insecurity among rural
farming households in developing countries (Jaleta et al., 2009; Thurlow et al., 2007;
Wickramasinghe and Weinberger 2013). Even the market liberalization policy agendas that were
widely promoted in sub-Saharan Africa (SSA) in the 1980s and 1990s under structural adjustment
programmes (SAPs) were broadly aimed at stimulating and enhancing agricultural
commercialization. Though these liberalization policies were aimed at opening up new market-led
opportunities for economic growth, their results were mixed in most countries. Even to date, many
smallholder producers continue to engage in subsistence agriculture and thus unable to benefit
from commercialization opportunities presented by the liberalized markets (Olwande and
Mathenge 2011; Siziba et. al., 2011; Wollverton et al., 2014).
In addition to the policy instruments that encourage more production and productivity and
specialization in production, there were also other several policy instruments that the African
government did take in protecting the domestic producers from facing cheaply imported
agricultural outputs. Hence for decades, domestic agricultural markets in Ethiopia were heavily
protected against low priced imports and even sometimes governments have been supporting
producer output prices through parastatals (Barrett, 2008; Todaro, 1989; Reyes et al., 2012). These
policy instruments were aimed at protecting the welfare of the producer and the country at large.
However, following the international food crisis of 2006 and 2008, international food prices
doubled with poor households in developing countries being worst hit. Though these prices have
come down after 2008, they are still higher than the period before the surge and projections indicate
that they are likely to remain so for the next decade (IFAD, 2010). That prediction was proved by
the significant increase in grain price and a relatively decrease in livestock price in the country
during the 2015 following the historical drought of the El Nino situation; where ‘Meher’ (major
production season) as well as ‘Belg’ (minor production season) have failed in many part of the
country with yield loss estimated to 44% to 99% (Okidi et al, 2015).To date, much of the
production response to these higher food prices has come from rich countries.
2.3 Smallholder Commercialization Challenges and Prospects
2.3.1 Challenges
In the developing world, by and large the potential of markets as an engine of agricultural growth
and pathway to exit poverty for the majority of the smallholder farmers is not fully exploited.
Smallholder farmers are constrained by many problems including poor access to modern inputs
and credit, poor infrastructure, inadequate access to markets, land and extension services. Thus, it
has not been possible for farmers to integrate with the market and enjoy the benefits of
commercialization and would be less like to benefit even in the future unless the barriers are
removed and better environment is created (Bernard and Spielman, 2008). They are also
constrained by other bottlenecks that impede their capacity and potential to produce and market
their produce. According to Al-Hassan et al. (2006), limited access to guaranteed markets for
products and inputs is a major problem. They further argue that local commodity markets are
characterized by high volatility, a situation that poses challenges for smallholders to effectively
participate in the market. These problems incapacitated them in their efforts to expand production
in the first place and then market the outputs in the second place.
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Another challenge is the fact that the largest proportions of smallholder farmers are producers of
staple food grains. Commercializing grain needs special attention due to the fact that grain
(example wheat, maize, teff etc for Ethiopia) is a staple crop in most sub-Sahara African countries.
So its market availability and price matters to the population both individually and collectively.
Secondly, grain is produced seasonally but consumed daily. Thus it is a great concern and subject
to market intervention. Grain is bulky, non-perishable and traded in large volumes. It has a low
unit cost but segregation with respect to quality is important in marketing. Grain is produced by
large number of small-scale farmers; each producing a small part of the total quantity sold leaving
them to be price takers (Leykun and Jemma 2014).
Even though a considerable percentage of smallholder farmers are producers of some commercial
crops, the challenge within that sub sector sometimes appears to exceed that of grain producers.
The commercial crops in countries like Ethiopia include markets for two types of crops;
perishables (fruits, vegetables, flowers, milk, egg etc) and cash crops (beverage, fibers, coffee,
cotton etc). Unlike in grain trading which becomes ready for final sale with only on-farm
processing, commercial crop trading requires relatively large scale processing. The structure of
such markets favors the emergence of integrated production with the disappearance of small-scale
producers. The market for most commercial crops is demand driven, i.e. it is derived from input
demand of processing industries. Moreover, relative to food crops, the demand for commercial
crops is elastic (Ibid).
The other sub sectors in which small scale farmers can engage in commercializing their endeavors
is livestock production. This includes markets for mainly sheep, goat, cattle, camel and poultry. In
most cases the farmer can control volume, timing and location of sale. For instance in most places
across Ethiopia there are formal livestock centers like slaughter houses in addition to the small
farmers who breed animals. However, because the length of the value chain for livestock is long
and the only point of integration for smallholder farmers is at the initial stage of live animal supply,
their control over the chain is minimal. Whereas much of the profit in the livestock sub sector
increase as one goes toward the end of the chain and at those points the smallholders’ command is
negligible and leaves them to exploitation. Moreover, the recurring droughts in the livestock
producing areas without any alternative source of water for pasture growth always puts significant
annual loss. This challenge is, therefore, another bottleneck for the commercializing the
smallholder herders on a sustainable basis.
What makes the future even gloomy is that even in countries where external constraints were
thought of being better than highly underdeveloped economies, Jari and Fraser (2009) revealed
from South Africa that less developed rural economies and smallholder farmers find it difficult to
participate in commercial markets due to a range of technical and institutional constraints. Factors
such as poor infrastructure, lack of market transport, dearth of market information, insufficient
expertise on grades and standards, inability to have contractual agreements and poor organizational
support have led to the inefficient use of markets, hence, commercialization bottlenecks. This
observation stresses technical and institutional bottlenecks as responsible for low market
participation of smallholder farmers.
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Climate change induced shocks and stresses to which the vulnerability level of household is high
and their capacity to mitigate, adapt and transit is low will remain another area of challenge to
commercialize smallholders and integrate them into a market. In such circumstances, households
usually go for diversification as a means of risk averse. Especially in those agro ecologies where
access to irrigation is extremely low and the topography of the land is undulating, the conditions
are worse. The challenges that arise from climate variability and change are worse compared to
those discussed above in that it requires long term action to develop appropriate mitigation
measure and adaptation for building resilience (Gutu et al, 2012a and Gutu et al 2012b)
2.3.2 Future Prospects of Smallholder’s Commercialization
The future prospects of smallholder commercialization could differ by the enterprise engagements,
geophysical locations, and other internal and external factors. For instance dairying seems to be
bright because for the challenges so far indicated the government has been attempting to address
through polices and strategies. Thus, dairy farmers are on the way to getting accesses to services
and inputs that could help promote dairy production and productivity. This mainly include feed
and feeding, breeding services, credit extension, training veterinary services and appropriate
marketing system that address costumers demand. Since dairying is labor intensive, it promotes
the motto of government policy in creating employment opportunities at household level. This
improves employment, income and nutrition values of the family of the producers and the other
consumers. The dairy industry would address and serve as one of the major instrument of the
governments’ policy in achieving food security. This in turn promotes the production and
productivity to other sectors due to the attention given by the government (Zegaye, 2003).
The development of infrastructure like, transportation would help to change the traditional thinking
of selling the products on farm and losing much of the products to perishability. In the connection,
the Ethiopian government has been investing hugely under GTP I on rural road construction and
during the GTP II (2016-20) plan is set to connect all districts with all-weather roads. In response
to the increased need, and as part of the RSDP-IV, government embarked on a Universal Rural
Road Access Program (URRAP) that sets out to connect all peasant associations by roads of a
standard that provides all-weather, year round access, meets the needs of the rural communities,
which are affordable and maintainable,” the year 2016 is now almost four years since the URRAP
came to the picture with a vision of connecting all peasant association in the country to major all-
weather roads by 2014/15 in addition to interlinking each peasant association with gravel roads. A
little more than 71,500Km of rural road were planned to be constructed throughout the program
duration. Achieving this means reducing the burden of most rural communities dramatically by
enhancing the percentage of rural population with access to roads to 80% from only 30% at the
beginning of the programme (FDRE, 2016). This will enable smallholder farmers to get access to
road and transportation means for their product to the market. On the other side when the rural
farmers expose themselves to the market, their income will increase and be in position to buy non-
market food types in exchange and there by improve their living standard. Since the country is an
agrarian economy, grains, spices, dairying and other cash crops are much expected to be the major
targets of the prospective agro-processing industries in the country (Azage et al, 1998).
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Another future prospect is the intervention by the government that has been done in recent years
through the development of small-scale irrigation schemes to encourage smallholder agricultural
commercialization. The evidence shows that farmers have started to grow crops which were not
previously grown in the area which has impacted their income in a positive way and transform to
a better farm typology. Households have started to incorporate vegetable farming as an integral
livelihood strategy. The fact that government has made irrigation scheme development as one of
its priority agenda, will allow many farmers across the country to sustainably produce profitable
enterprises (Yodit, 2013). Ethiopia has vast cultivable land estimated to 30 to 70 million hectares,
but only about a third of that is currently cultivated; approximately 15 million hectares, with
current irrigation schemes covering about 640,000 ha across the country. However, studies
estimates that total irrigable land potential in Ethiopia is 5.3 million hectares assuming use of
existing technologies, including 1.6 million hectares through rain water harvesting and ground
water. This means that there are potential opportunities to vastly increase the amount of irrigated
land and ensure smallholder farmers to make use of it. The available potentials rivers are Abay,
Tekeze, Omo-Ghibe, Rift valley, Awash, Genale-Dawa, Wabi-Shebele, Danakil, Ogaden and
Ayisha with a total potential of irrigating 3.7 million hectare of land out of which 10.5% are
directly for small and medium farmers. Under the GTP II (2016-20) the government has set up a
plan to construct several mega and medium scale irrigation schemes across the different regional
states. This is one of the prospects that can enable the commercialization of smallholders through
agricultural intensification (Seleshi et al, 2010).
Another area that lays the promise to increase smallholder commercialization that Ethiopia is in
the midst of a sustained growth surge that is becoming increasingly broad-based, building on major
improvements in educational attainment, improved health outcomes, and infrastructure capacity
in terms of access to power, and telecommunications. The Government’s Growth and
Transformation Plan sets ambitious targets for further improvements in these areas, together with
significant reforms aiming to improve trade logistics, by rolling-out the authorized economic
operator program across export-oriented industry parks and improving the main export corridor to
Djibouti. The industrialization push coincides with global trends that provide Ethiopia an
opportunity to integrate its economy into the modern “Made in the World” production system,
including by attracting labor-intensive production, which is leaving China and other East Asian
economies due to their rising wage rates. Ethiopia’s emerging capacities and global developments:
agriculture, mining, oil and gas, economic infrastructure, manufacturing, and selected services,
including health and tourism opens up another door for the commercialization endeavors (Henonk
et al, 2013).
A further strategic advantage of Ethiopia is its positions to attract a good share as regards to labor
costs. A recent World Bank study affirms that Ethiopia is already cost competitive with China in
manufacturing textile and garments and other labor-intensive light manufacturing industries (Dinh
et al., 2012). Meanwhile, Ethiopia is centrally located globally, within non-stop transport distance
to all major markets, roughly equidistant between the United States and Japan, between China and
Brazil, between Europe’s largest economy and India, and between Russia and South Africa. This
13
creates a favorable trade environment for the production of high value crops and staple foods meant
for sell by smallholders and larger agricultural firms.
Finally, trade logistics reforms promise to dramatically shrink the effective distance between
Ethiopia and global markets. Addis Ababa is already the main air hub for Africa and the home of
Ethiopian Airlines, which carries two thirds of Africa’s air freight and has just significantly
extended its cargo capacity and range. The infrastructure program now underway is integrating the
country’s internal economy (Lakshmanan, 2011). For the internal market, this is beginning to
accomplish for Ethiopia (Shiferaw et al., 2012) what the construction of the interstate highway
network in the 1950s and 1960s did for the United States and the rail and road program in the
2000s did for China (Faber, 2012). Meanwhile, Ethiopia’s connections to global markets are being
significantly upgraded with new, high-speed rail and road corridors under construction. For
international trade, this will position Ethiopian agricultural commodity supply to consumers and
agro-processing industries to fully modern seaport facilities than Munich is to Rotterdam, on a
trade route accounting for 30% of global container traffic and connecting East, South, and West
Asia to Europe and the Americas, a position that has historically been a natural advantage for
Ethiopia.
2.4 Commercialization and Progress Out of Poverty
According to Geoffrey et al (2015) rampant poverty and food insecurity among rural farming
households in developing countries have been linked to poor performance of the agricultural
sector. In Kenya, for example, statistics show those rural households who mainly depend on
agriculture, are the poorest and most food insecure in the country. Majority of these households
are smallholder farmers and account for about 75% of the total agricultural output and 70% of
marketed agricultural produce in the country. However, empirical evidence shows that market
participation through agricultural output is much skewed where 20% of smallholder households
account for over two thirds of the marketed volumes.
Similarly OECD (2010) and WB (2007) present that agricultural development has potential to
generate growth by two to three times than non-agricultural sector developments, especially for
the bottom quartile of poor people in SSA. Hence, the agricultural sector developments have
stronger poverty reducing ability than non-agricultural sector development at least in the short to
medium time. Interestingly, the decline in poverty rate of developing countries from 28% to 22%
in 2002 is mainly attributed to falling poverty in rural areas and 80% of the decline in rural areas
is related exclusively to favorable conditions in these areas. Cognizant to this, Millennium
Development Project’s Hunger Task Force concluded in 2005 that “the world could meet the
Millennium Development Goal (MDG) of halving hunger by 2015”, and development of
agriculture is silver bullet for almost all African countries to achieve the goal (WB, 2007). More
specifically, as most farmers in developing countries (above 85%) farm on less than 2 hectares of
land and the possibility of increasing holding size is unthinkable, improving productivity of
smallholders will be the catalyst for achievement of growth (Tekalegn et al, 2014 quoted from
Tesfaye et al., 2012).
(WB, 2010) argue that the contribution of smallholder farms as the engine of rural growth and
livelihoods improvement, however, depends on their level of transformation from subsistence
oriented to market oriented production systems. Evidences from different countries like Tanzania,
14
Uganda and Vietnam conclude the same by using smallholder commercialization as tools to
climbing out of poverty and get successes. The results from impact assessment by Geoffrey et al,
(2015) showed that agricultural commercialization significantly reduces food insecurity and
poverty among commercialized when compared against non-commercialized households.
In Ethiopia smallholder farmers who operate farm are mainly cereals growers for both own-
consumption and sales on less than 2 hectares per household, albeit physically small when seen
separately, as a group covers 96% of total area covered by crop and contribute 97 % of total crops
produced (96.8% of grain crops, out of which 97.4%, 98.6%, 81.3% are cereals, pulses and oil
seeds in the same order); 76.3%, 90.9%, 80.6%, 80.9%, 22% and 85.7% are vegetables, root crops,
fruits, coffee, sugarcane and other cash crops respectively) during the year 2009/10 (Alemayehu
et al., 2011 and MoFED, 2010).
It is in response to these facts that the GoE has prioritized commercialization of farms in general
and smallholder agriculture in particular. In its second Poverty Reduction Strategy Plan, PASDEP
set for the time span 2005/06 to 2009/10, the GoE gave high consideration for commercialization
of agriculture including a shift to higher-valued crops; promoting niche high-value export crops, a
focus on selected high-potential areas, facilitating the commercialization of agriculture, supporting
the development of large scale commercial agriculture where it is feasible and better integrating
farmers with markets both locally and globally (Havnevik et al., 2006 and MoFED, 2006). As a
result the nation recorded encouraging growth during the project life.
All the above body of literature presents the role agricultural commercialization can play in
reducing poverty and improving household welfare, whereas the study conducted by Amsalu
(2014) on the impact of smallholder farmers commercialization on rural poverty in Jimma zone of
south west Ethiopia indicate that the commercialization of smallholder farmer had no effect on
poverty level of the households. Rather the result indicated that sex, age, educational levels, family
size, farm income, access to credit in previous years, and distance from settlement center to the
nearest market places were significant determinants of rural households’ poverty.
Moreover, theoretical arguments against agricultural commercialization contend that it even
contributes to poverty and food insecurity (Pingali and Rosegrant, 1995; Pingali 1997; Strasberg
et al., 1999). They argue that commercializing smallholder agriculture entails loss of capacity to
produce food and loss of food productivity on the basis that farmers will drop food crop production
in favor of purely cash crop production. This will in turn expose households to increased risks
usually associated with market price fluctuations that are normally of little concern in subsistence
production settings. In addition, it is argued that commercialized farmers face increased risks
associated with yield fluctuation when production becomes more specialized thereby loosing
advantages associated with production diversification. Given the risky economic environment
under which smallholder farmers in developing countries operate, ensuring own food supplies can
therefore be economically first best strategy. In this context, commercializing smallholder
production is likely to negatively affect food crop production and general household welfare due
to lack of reliable and efficient food markets (Strasberg et al., 1999). This school of thought also
argues that commercial agriculture can lead to overuse of fertilizers, pesticides and land
degradation due to increased production intensification thereby affecting the environment
negatively.
15
Similarly in terms of the theories that under pine smallholder commercialization and profit
maximization, Fro¨hlich et al (2013) put forward that increased commercialization of smallholder
agriculture can have adverse effects; for example, highly specialized farm households are by
definition more dependent on the market than subsistence-oriented households, exposing them to
fluctuations in market prices, while more subsistence-oriented households are less affected.
Furthermore, economies of scale and scope, plus market risk, dictate that farmers with small farms
are somewhat disadvantaged, simply because the transactions costs incurred by market
participation are fixed to a significant extent. For example, obtaining a small as opposed to a large
loan may carry the same transaction costs in terms of the loan application and repayment processes.
In addition, risk preferences differ between socio-economic strata. As an example, the analysis by
these writers found that poor individuals and women are more risk averse than others, and this may
inhibit specialization and investments and is often associated with a low demand for credit.
In countries like Ethiopia where the topography is mountainous in the highland and midland agro-
climates, agricultural commercialization could lead to deforestation, the occurrence of floods and
droughts, rivers being poisoned with agrochemicals, and farmers being laden with debts (Forsyth
and Walker 2008). In that regard countries like Thailand have passed resolution in 1998 stating
that communities located in certain conservation areas – which almost entirely refers to upland
communities – must be strictly contained within demarcated residential and agricultural areas and
must focus on subsistence production (Forsyth and Walker 2008).
In response to these latter arguments of the non-pro-poorness of smallholder commercialization,
von Braun (1995) and Govereh et al., (1999) assert that the theory that agricultural
commercialization is not pro-poor has been countered. They argued that the perception that
agricultural commercialization in developing countries undermines food security is “overly
simplistic” and based on “if” statements. Example of such “if” statements include:- if food crops
are replaced with non-food crops, and if markets are not working well; if landless farm laborers
are replaced with highly mechanized and less labour intensive production systems. As such, von
Braun (1995) concludes that many adverse effects of commercialization are not because of the
inherent nature of commercialization, but instead, it is because of bad policies. The answer to these
bad policies is policy reforms and not reversal or deceleration of technological advancement and
commercialization.
In general there has been considerable debate among policymakers and academics on as to whether
the commercialization of smallholders is a change for the better. Some policy documents have
attributed social problems and economic instability to the excessive influence of market.
Therefore, given the scanty of literature reviewed above and the several other dozens that linked
poverty and smallholder commercialization, it is very difficult to conclude that there is a strong
positive relationship between the two. While several studies have indicated that smallholder
commercialization improves the welfare and reduce rural poverty, still others assert that there is
either no relationship or even the relationship is negative.
2.5 Empirical reviews
Jennifer and Tina (2014) examined the relationship between agricultural commercialization and
nutrition. They developed two indices one for food crops produced and the other for cash crops
16
produced. Methodologically, Ordinary Least Squares (OLS) regression was conducted to test the
associations between agricultural commercialization and dietary diversity, production diversity,
and other predictors of dietary diversity while controlling for non-agricultural income and other
possible confounders. Additional they run logistic regressions to predict the odds of the
consumption of specific food groups, including dummy variables for whether the food group was
produced and metrics of agricultural income quartile, non-agricultural income, and whether any
amount was sold. Their finding indicated that smallholder commercialization in Ethiopia has a
significant and positive relationship to household-level dietary quality.
Ele et al (2014) conducted an assessment of the extent of commercialization of smallholder
households in cross river state of Nigeria. The study was conducted to examine the variation in
the level of commercialization among households in three agricultural zones, as well as identify
the micro-level factors determining the level of commercialization. The study used a survey of 120
HH with the application of household commercialization index (HCI). Their findings revealed that
the degree of commercialization in the study area was moderately high (about 60.40%). On
average, households sold about 56.10%, 66.60% and 58.50% of their total production (in grain
equivalent terms) for the Southern, Central and Northern zones respectively. The Tobit regression
analysis showed that total quantity of food crops produced, farming experience, access to
agricultural extension service, size of land used for cultivation, membership in cooperatives and
household family size were important factors determining the level of commercialization of
smallholder farms.
Samuel and Kay (2008) conducted study on the commercialization of smallholder agriculture in
selected ‘Teff’-growing areas of Ethiopia using a sample of 155 households in 4 woredas. The
objective of their research were to assess the scale of commercialization in teff-growing areas, and
to detect household and farm characteristics which might explain variation in the level of market
participation, commercialization level among households and welfare situation. The method of
analysis was descriptive for measurement of the level of commercialization. Their finding
indicates that the level of commercialization is such that a slight majority (about 58%) consumed
more than they marketed, while 38% sold more than they consumed and the remaining 4%
consumed and marketed an equal proportion of their output. Farmers operating at full commercial
level (i.e. those who sold 100% of their production) constitute 5%, while another 7% operated at
full subsistence level. The finding from the regression result showed that about 63% of the
variation in trade was explained by the volume of production, keeping other factors constant.
Hence, land size, technology and access to service which determines the volume of production are
important factors of commercialization level.
Aman et al (2013) have undertaken the analysis of determinants of smallholder commercialization
of horticultural crops in Gemechis District of West Hararghe Zone in Ethiopia using as ample
survey of 160 horticulture growers. A double hurdle model was applied to analyze the
determinants of the commercialization decision and level of commercialization. Their first hurdle
result from Probit regression model revealed that, gender, distance to the nearest market, and
cultivated land played a significant role in smallholder commercialization decision. In the second
hurdle, the result of Truncated Regression Model revealed that, household education, household
17
size, access to irrigation, cultivated land, livestock holding, and distance to the nearest market were
the key determinants of the level of commercialization.
The work by Chanyalew et al (2011) on factors determining the degree of commercialization of
smallholder growing potato in Kombolcha district of East Hararghe in Ethiopia used a survey of
133 randomly selected potato growers from a purposively selected peasant association. Using and
OLS method for the analysis of quantitative data, they found out that farm size allocated to potato,
access to irrigation and access to market information were found to be significant in affecting
extent of market participation (degree of commercialization).
2.8 Conclusion from Literature review
From the above reviews, it is evident that numerous studies have been done on market participation
and commercialization of smallholder farmers. Methodologically, current empirical studies on
market participation typically adopt two-step analytical approaches. The Heckman and the Double
Hurdle Models have been extensively used. The review also showed that the underlying theory of
market participation is derived from the Smithian and Ricardian theories of trade. In general there
is no limitation in the availability of literature around smallholder commercialization from all over
the developing world. In most cases the bulk of publications are from researchers, and
academicians. The question that still remains unanswered is how much have all the results of these
dozens of research have informed national polices, strategies, intervention packages and made
contribution in changing the lives of smallholder farmers.
3. METHODOLOGY
3.1 The Study Location
The study area is North Shewa Zone of Oromia national regional state. North Shewa Zone is found
in north-west direction of Addis Ababa. Fiche town which is located at 147km away from Addis
Ababa is the capital of the zone. The zone has 13 rural districts with a total land area of 10,323
km2. It is situated between 9030N and 38040E. The zone is bordered by Amahara region in the
north and the east, West Shewa zone in the west and Addis Ababa in the south. The topography of
the area is mountainous in the highland and midland, while it is plain in the lowland areas. The
altitude of the area ranges between 1300-2700 meters above sea level. It is divided into three agro-
ecologies, namely, 15% highland (>2500 meter above sea level), 40% midland (1500-2500 meter
above sea level) and 45% lowland (500 -1500meter above sea level) (CSA, 2007). The area gets
rainfall during both Belg (February to April) and Meher (June to September) seasons. The average
annual rainfall of the area ranges from less than 840 mm to 1600 mm while the mean annual
temperature varies between 150C and 190C.
The population of the zone is estimated to be 1,431,305 with population density of 138.7 persons
per km2 and average of 4.6 persons per household. The community practices mixed farming of
cereal crops, pulses and oil crops. Livestock production also constitutes an important part of
agricultural activities. The average land holding is 1.1 hectare per household. Due to the
continuous reduction of farmland to degradation by frequent flooding and drought, farming was
intruded into steep sloping areas, forest lands and expanded to marginal lands and communal lands
covering 81% of the total area of the zone. Only 3% of the total land is put under grazing, 3.7%
forest land, 11.33% degraded and bare land and 0.65% is other form of land (CSA, 2007). The
crops, livestock and other livelihoods of the community are subjected to damage to climate change
18
induced hazards. This coupled with the continually decreasing farm size had serious impact
threatening farmers’ adaptive capacity and livelihood improvements
3.2 Source and Types of Data
The data for the research was obtained from a survey of 453 farm households in three districts of
the Zone. A multi stage random sampling technique was used to select the ultimate respondents.
In the first place, three districts were randomly selected. These districts ware Yaya Gullele, Hidha
Abote and Derra. In the second stage, peasant associations from each districts were randomly
selected, consequently, 18 peasant associations were selected for representation. Finally
systematic random sampling was used to select the respondents based on proportional to
population size. A structured questionnaire was used to interview the farmers. Data collected from
the farmers include household characteristics, landholding, resource ownership, access to
extension services, credit access, types crops and livestock production, market participation,
volume of products taken to the market, access to road, disaster occurrence, climate variables
(precipitation, temperature, soil moisture, air moisture and wind direction), vulnerability
conditions, adaptation strategies, coping strategies, level of resilience, and other relevant
information.
In addition, secondary data relevant for this analysis was obtained from the National
Meteorological Service Agency (NMSA), Central Statistical Authority (CSA), and Zonal and
district agricultural offices. In order to understand the research questions at community level,
qualitative data were collected through focused group discussion using checklist prepared for the
purpose. More specifically, visit was made to the study site during the 2015/16 drought situation
to see households level of participation in a market and observe market operation. Several FGD
were conducted to triangulate the information before the crises and after the crises.
3.3 Method of Data Analysis
3.3.1 Conceptual framework and Methods of measuring degree of commercialization
Commercialization of agriculture takes many forms and is defined in different ways. Generally,
smallholder commercialization in agriculture can be defined in terms of smallholder participation
in commercial input and output markets, type of crops grown by smallholder farmers and goals of
smallholder farmers. This variety of meaning emerges from the way the researchers perceive the
concept. However, the core of most definitions of agricultural commercialization is the degree of
participation in the (output) market, with the focus being too much on cash incomes (Strasberg et
al., 1999; von Braun, 2005). According to these authors, commercialization is supplying higher
amount or percentage of surplus product to market. But, the meaning of commercialization goes
beyond supplying surplus products to markets; and it has to consider both the input and output
sides of production, and the decision-making behavior of farm households in production and
marketing simultaneously (Pingali, 1997; von Braun et al., 1994). Moreover, commercialization
is not restricted only to cash crops as traditional food crops are also frequently marketed to a
considerable extent (Berhanu et al., 2006; von Braun et al., 1994).
A line of thought followed in this study is that, generally agricultural commercialization is the
integration of farmers into input and output markets. Therefore we follow the definition by
Gebremedhin and Jaleta, (2010) i.e. produce offered for sale and use of purchased inputs in the
production process. However, the later component of this definition (use of purchased inputs) is
19
beyond the scope of this study and secondly as illustrated by Pingali (1997), commercialization on
the input side is likely to proceed in tandem with the degree of participation in output markets.
Based on this adopted definition, a more comprehensive household commercialization index (HCI)
that incorporates all crop enterprises on the farm was developed as opposed to some of the past
empirical studies that focused on the output side of one or a few selected crop enterprises,
especially for cash crops only. Therefore, the comprehensive HCI that was developed gives a more
accurate picture of smallholder agricultural output commercialization thereby enabling a more in-
depth understanding of agricultural transformation process than before.
3.3.2 Mathematical specifications
Degree of commercialization: Household Commercialization Index (HCI)
Finally, to analyze the commercialization level of households, household agricultural output
marketed index is used as proxy of degree of commercialization. The index is measured by the
proportion of the value of agricultural sales to total value of agricultural production.
Mathematically it follows:
𝐶𝑂𝑀𝑃𝑖 =∑ 𝑃𝑘𝑆𝑖𝑘
𝐾𝑘=1
∑ 𝑃𝑘𝑄𝑖𝑘𝐾𝑘=1
∗ 100 (1)
Where 𝑆𝑖𝑘 is quantity of output 𝑘 sold by household 𝑖 evaluated at an average community level
price (𝑃𝑘), 𝑄𝑖𝑘 is total quantity of output k produced by household 𝑖. After calculating this index
households were categorized into different groups based on their level of commercialization and
this helped to classify farmers as subsistence, semi-commercial and commercial based on market
orientation. The main purpose of subsistence system is to maintain household food self-
sufficiency. The semi-commercial system is focused towards generation of marketable surplus and
maintaining household food-security. In commercial system, profit maximization is the main
motive of the entrepreneur.
Determinants of degree of commercialization
Based on the exercise of most studies that have modeled agricultural commercialization as a two-
step analytical approach involving the unobservable decision to commercialize and the observed
degree or extent of commercialization, Tobit regression model, with a hybrid of the discrete and
continuous dependent variables was used to draw inferences on the causal factors for
commercialization of households. The first step is a discrete outcome of participating in the market
or otherwise. This is because from the household response to the question of as to whether they
participate in the product market, their responses were ‘yes’ or ‘no’. For the HHs with a ‘no’
response the HCI yield a zero value. Therefore, this group does not need to involve in the second
layer of analysis, hence sample selection is posed. The second level then involves the
determination of the level of commercialization. The level of commercialization was made
continuous rather than discrete by being censored at zero. In this data set, considerable percentage
of households has value of 0 for the dependent variable, as they did not participate in the product
market. In such a data set, the use of OLS is inappropriate. An appropriate alternative for this type
of data set is Tobit. Tobit model was originally developed to deal with corner solution outcome;
however, it can be used to estimate models of both cases; censored and corner solution
(Wooldridge, 2009). In this connection, Tobit model for determinants of level of
commercialization is given as:
20
𝐶𝑙𝑖∗ = 𝑋𝐽
′𝛽 + 𝑈𝑗 (2)
𝐶𝑙 = 𝑀𝑎𝑥(0, 𝐶𝑙∗) (3)
The observed variable 𝐶𝑙 equals 𝐶𝑙𝑖∗ when 𝐶𝑙𝑖
∗ >0, but 𝐶𝑙 = 0 when 𝐶𝑙𝑖∗ <0. That is:
𝐶𝑙 = {
0 𝑖𝑓 𝐶𝑙𝑖∗ ≤ 0
𝐶𝑙𝑖∗ 𝑖𝑓 𝐶𝑙𝑖
∗ > 0 (4)
Where, 𝑋 is 𝐾 vector of regressors which included household characteristics (age, sex, educational
level), land size, labor, livestock ownership, extension services, credit services, income level,
diversity of income sources, availability of perennial crops, agricultural logistics (market access,
access to all weather road, market information, communication technology such as radio and
mobile phone), entrepreneurial training, area under irrigation, technology (improved seed,
fertilizer), crop diversification, vulnerability to climate change (CC) shocks and stresses, level of
adaptation to climate change/variability (indexed), agro-climatic zone and perception of CC were
entered into the model, 𝐶𝑙𝑖∗ is the dependent variable, which in this case is degree of
commercialization. 𝛽s are parameters to be estimated and 𝑈𝑗 is household specific disturbance
term.
Impact of commercialization on HH poverty
In order to determine the relationship between poverty and level of smallholders’ agricultural
commercialization, binary logistic regression model was used. The reason why binary logistic
regression was selected for this study over the other models is that, it has some advantage over the
others in the analysis of dichotomous or binary outcome variable. These include Logit analysis
produces statistically sound result, the independent variable and dependent variable don't have to
be normally distributed, and it provides results which can be easily interpreted. Moreover, the
results is comparable with that of probit model; the main difference is the logistic function has
slight flatter tails that is, the normal curve under logit function approaches the axes more quickly
than in the case of probit function. Ignoring minor differences pointed out, the probit and logit
model are quite similar. Hence binary Logistic regression is taken as a useful way of describing
the relationship between one or more independent variables and a binary response variable,
expressed as a probability, which has only two values. The dependent variable in this study is
dummy variable (binary), which takes the value 1 for poor or 0 otherwise. The mode specification
is given as:
𝑃(Y = 1|𝑋) =𝑒𝑋′𝛽
1+𝑒𝑋′𝛽 (5)
= ˄(𝑿′𝜷) (6)
𝐸(𝑌|𝑋) = 0[1 − ˄(X′𝛽)] + 1[˄(X′𝛽)] = ˄(X′𝛽) (7)
The Odds-ration is given by
ℒ =𝑃(𝑌=1|𝑋)
1−𝑃(𝑌=1|𝑋)=
𝑒𝑋′𝛽
1+𝑒⁄ 𝑋′𝛽
1−(𝑒𝑋′𝛽1+𝑒⁄ 𝑋′𝛽)
= 𝑒𝑋′𝛽 (8)
21
Where 𝑃 is the probability that a household is poor or otherwise following consumption poverty
approach. That is the binary variable, 𝑃 = 1 is for poor household and 𝑃 =0 is for the non-poor
ones. 𝑋 is the different demographic, social, economic, natural and other variables assumed to
determine the poverty level. In here in order to measure the impact of smallholder
commercialization, HCI is used as one of the independent variables. 𝛽 are parameters to be
estimated using the maximum likelihood method. ℒ is the log odds ration that measure the
probability of being poor over being non-poor. It measures the impact of each covariate on being
poor over non-poor.
3.3.3 Mathematical specifications
In the above model 𝑌, which is being poor or otherwise is however, should be determined based
on appropriate theoretical foundation. In the study area based on the consumption behavior and
family sizes, and other basic social expenditure, a cutoff point was determined by Gutu et al (2013)
for the same households using the same data set following the latest definition of food security by
FAO (2011), which states that the minimum amount of food basket a household has to get access
to should enable to meet the minimum calories of energy per day for an active and healthy life.
The minimum amount of basket of food is usually computed from the locally available food types
consumed as well as produced by farmers (FAO, 2002). From these arguments, it is apparent that
the minimum amount of food and non-food items for community members residing in the study
are should be computed based on the food preference and dietary need described in Annex 2. For
the food component, this minimum requirement is based on the amount of minimum kilo calorie
energy requirement and the other expenditure required is calculated to enable a typical household
to be above a consumption poverty line. As written by, Adelman and Berck (1991), African
Leadership Forum (1989), Alamgir and Arora (1991) and FAO (2002), achievement of food
security converges the achievement of this minimum calories requirement in a sustainable bases
under any circumstance of natural and manmade disturbances of livelihood.
In Ethiopia, several people have used different figures, but for the purpose of this research, the
minimum calorie taken is 2300 Kcal per day for adult equivalent as suggested by FAO (2011) for
developing countries. The next step is then to determine the type and proportion of food types
required by an average family in the area. Then household expenditure requirements for health,
education, clothing, shelter and other social obligations will be added to construct the minimum
amount of income required for an average family to be above poverty line. Annex 2 presents this
amount of income needed for all HH expenditure. The average family size of the respondent was
4 adults equivalent and the same is used to establish the poverty line by calculating the total
consumption expenditure for a typical household throughout the year. From Annex 2 it is apparent
that each household need to generate Birr 29,094.712 (twenty nine thousand, ninety four and
seventy one cents) as net farm income that can meet the present need. Therefore, this is a cutoff
point, where households who are unable to meet this amount were classified as poor and
households who were able to meet as non-poor.
4. FINDINGS
4.1 Market Participation and Degree of Commercialization
The economy of the community in the study area is mainly subsistence farming. The community
practices mixed farming of crop production and livestock rearing. The average land holding is 1.1 2 This amount is equivalent to USD 1,353.24 at an exchange rate of 1USD = 21.5 ETB as of May 2016.
22
hectare per household. Cereal crops, pulses and oil crops are the dominant grown in the area. These
include teff, sorghum, millet, oats, barley and wheat. Besides, vegetables such as onion, potato,
green pepper and cabbage are grown only in few peasant associations where irrigation water is
available. Vegetables are relatively less prevalent in the food basket consumed and primarily
produced to be used as a source of cash for the households to meet extra cash needs for children’s
school fee, medical expenses, and other household social obligations. Due to the continually
decreasing farm size livestock holding has become is very small per household, yet it still
constitutes an important part in agriculture system.
It is apparent that staple food crops and livestock are the prime agricultural outputs with which
smallholders participate in the market. Given the fact that staple food market is characterized by
many small sellers, competition among farmers is likely to be fierce. This problem arises mainly
due to low per capita production as confirmed by small land holding per household and with only
few farmers having access to irrigation for small proportion of their farmland. These could not
allow the smallholders take part in output markets as required. Among those who do take part, the
degree of participation also varies. This section investigates the microeconomic relationships
between market participation (on-participation) and household-level factors, using the household
survey data and assuming the macroeconomic conditions are constant.
Large majority of those smallholders who take part in the output markets is out of necessity (to
obtain cash for the purchase of essential consumption goods and agricultural inputs), whereas only
very small proportion of them takes part either to capture the gains from specialization or that is
the only means of existence. As it is rare to find a farmer who is not influenced by either of these
factors, it is unusual to observe farmers who do not market any of their output. This circumstance
happens in the study area where a farmer has either nothing to sell or his/her products could not
go beyond household consumption. For those farmers the household’s cash needs are basically
met from non-farm income including remittances and aid. Table 1 presents the output market
participation, while table 2 presents the degree of participation.
Table 1. Smallholder farmers’ participation in output market
Participation in product market %
No 13%
Yes 87%
Total 100%
Source: Computed from HH survey data
Table 2. Degree of smallholders’ commercialization in the output market
Level of Commercialization Percentage
No participation in the output market at all 13%
Supply less than 25% of their produce 57%
Supplying 25 - 50% of their produce 10%
23
Source: Computed from HH survey data
The statistical result shows that nearly 13% of the farmers are not bringing anything to the product
market, while at the other extreme only 3% is making the entire of his/her product meant for the
market. That is to say only a maximum of 3% has been fully commercialized after series of
decades’ effort. The large majority as 80% brings less than 50% of their products to market and
out of this; even 57% is supplying less than 25% of their products. Given the fact that these famers
are at a near distance to the nation’s capital city, Addis Ababa and with relatively better
infrastructure, by understanding the factors that is leading them to stay in agriculture but not taking
part in output markets should enable policy makers to design programmes either to strengthen
farming livelihoods or to facilitate the smooth withdrawal of marginal farmers from the
agricultural sector, thus allowing more productive farmers to cultivate larger farms. Hence, it is
important to study as to why smallholders have not been well integrated into the output markets
as sellers. The cross tabulation with non-farm engagement indicates that the reason for lower level
of commercialization, at least for cash source in not primary because their occupations were non-
agricultural, but rather because their agricultural livelihood is precarious.
With regard to the financial value of the agricultural products sold in a market for those
participating in the product market it ranges from Ethiopian birr 250 (USD 11.63) per year to a
maximum of birr 9051 (USD 421), with an average of Ethiopian birr 2,237 (USD 1043). This is a
clear indication that market participation is rather to meet certain financial constraints of household
instead of specialization and profit driven. Considering commercialized farmers as those offering
more than 50% of their product into the market, figure 2 presents comparison of key socio-
economic variables assumed to determine household’s livelihood among the commercialized and
their counterparts.
3 Exchange rate 1USD = 21.5 Ethiopian birr at the time of the study
Supply 50 -75% of their produce 9%
Supply more than 75% of their produce 11%
Total 100%
100% Market oriented 3%
24
Figure 1. Comparison of commercialized and semi-commercialized farmers with regard to key variables.
Sources: Computed from HH survey data
Except for the number of years of farming experience, the farmers said of being commercialized
has exhibited better in terms of access to extension services, size of land holding, number of farm
plots, area under irrigation, access to credit, access to improved seed, diversity of enterprises,
saving, livestock holding, total value of farm earning and engagement in non-farm activities. The
probable reason for farmers with more year of farming reserved from being commercialized could
be that, they prioritized risk minimization as opposed to maximizing market earning which need
risk taking behavior. Even if differences appear to exist for those key variables, it is observed from
figure 1 that these differences are not magnificent. This is a clear indication of the level of
commercialization among smallholders.
4.2 Determinants for Market Participation and Degree of Commercialization
In areas like that of the study location, where the marketing system and facilities are yet to be
improved, it is logical to assume that smallholders’ participation in market would be very low. In
this regard the actions and interactions of many factors will be at the play. That is a smallholder’s
decision to enter and make use of markets is influenced by macro and micro-level factors. Macro-
economic and trade policies, market reform, rural infrastructure improvement, climatic conditions
and the development of institutions are those over which a smallholder can have no or influence
at all. Table 3 presents the regression result for the determinant factors.
-5
0
5
10
15
20
25
30
Commercialized Non-commercialized
25
Table 3. Two step censored regression model output
Variables
Market Participation Commercialization Intensity
Marginal Effect St. Error Coefficient St. Error
Demographic and Social Characteristics
Sex (Male =1) -1.3450** 0.6072 -0.0038 0.0531
Participation in Local institutions 0.3925*** 0.1509 0.0016 0.0174
Economic and Financial
Size of cultivable land 0.0113 0.0256 0.0075*** 0.0027
Total HH income - 2.27E-07 1.90E-06 - 02.7E-07** 1.11E-07
Level of diversity of HH
livelihoods
0.1598** 0.0724 0.0201*** 0.0063
Total volume of annual
production
0.0335** 0.0167 0.0138*** 0.0027
Natural, Agro-Climatic and Climate Change
Midland agro-ecology 0.2208 0.4417 0.1301*** 0.0484
Lowland Agro-ecology 1.5608*** 0.5468 0.2525*** 0.0537
Level of land fertility 0.0132 0.1699 0.0398** 0.0165
Proportion of land under
conservation
0.2924 0.4823 0.1055** 0.0489
Distance between farm plots - 0.4222** 0.2149 - 0.0267 0.0293
Level CC Perception (rainfall,
temperature, induced shocks and
stresses)
0.3687 0.678 0.1624** 0.0762
Agricultural Logistics and Facilities
Access to market information 0.5394 0.3748 0.0953*** 0.0365
Distance from the market place -0.3928 0.229 -0.0697*** 0.0259
Ownership of TV 1.5134* 0.8568 0.0129 0.1129
Const. 0.0031 0.1490 -0.2888 0.2952
Sigma Cons 0.2983
***, **, * significant at 1%, 5% and 10% probability levels respectively
Source: Model output for Tobit double hurdles
Demographic and Social factors
In rural setting where smallholder agriculture is mainly for substance requirement and as the
amount of produce potentially taken to the market is significantly small, it is usually the women
who play much role in participating in rural markers. Especially when the household is headed by
women, rural women participation in a market is a key activity for achieving the household’s
economic and social needs. In many of the rural market, vegetables produces, which is used as one
of the means of meeting immediate cash needs for households in the central part of Ethiopia, is
done by petty traders and retailers supplying such product from their own farm; where such
suppliers are largely the women. Moreover, a noteworthy exception, highlighted in this finding is
that the products of women headed household are mainly those crops that are grown around
homesteads. The main reason for women’s high market participation through selling crop products
as compared to the male headed ones is because of their lack of storage capacity. The econometric
result from this study affirms to this argument by indicating that market participation is in favor
26
of women headed household with a coefficient of marginal effect significant at 5% probability
level.
Another important factors common to the study area is the existence of ranges of local institutions
established by the community themselves. Some institutions are made up of a well-defined group
of people (who either chose to become members or were “born members”) and have clear,
exclusive criteria for membership. Others are more inclusive, often because they dictate how
people in general should behave rather than what particular people should do. In here the
engagement in such social institutions is a measure of social networks which helps to build a sense
of belongingness. In the study area types of networks that are important include families, friends
and community organizations. These groups provide strong bonds within a social group; a sense
of belonging, identity and social support; and strong linkages to others outside group that can bring
in additional social, financial or political resources. Successful and enduring local institutions
create relationships with a common purpose and promote shared interests, but can also have
adaptable and flexible functions. They can provide emotional and practical support, information
and resource sharing. Some of the semi-formal local institutions include, Idir, Mahiber, Iqub,
Senebte, Debo, etc. The participation in such local institutions is a strong determinant of
household’s access to required supports, and information (including market information). This has
a great help in enabling someone to participate in the market, as participation requires social,
economic and technological (price information) services. From the double hurdle model result the
density of participation in local institution is found to be an important factor for market
participation with a coefficient of marginal effect 0.3925 significant at 5% probability level.
Economic Factors
One of the key driving factors believed to have significant impact on the participation and degree
of agricultural commercialization is economic resources. The inclusion of these variables was
driven by the theory of asset traps advanced by Carter and Barrett (2006) who argue that lack of
assets may preclude many smallholder farmers from being able to produce a surplus necessary for
participating in output markets as sellers. Several physical and financial asset variables were
included in the model, however only size of land holding and total amount of household income
(including non-farm, remittance, etc) were found to be significant determinant of level of
smallholder commercialization intensity. Similarly the intensity of livelihood diversity and total
volume of farm products) appeared to significantly influence both market participation and level
of commercialization.
The coefficients of regression coefficient for size of land holding and total household income
explaining the degree of commercialization are 0.0075 and 1.7E-07 respectively and both were
significant at 5% probability levels. Size of land holding is an important and is the starting point
to progress on the scale of agricultural commercialization. As the size of land increases, the
tendency to be market oriented, production specialization, use economy of scale and supply in
bulk increases. Moreover, the availability of big size of land enables famers to get access to other
services like credit, procure technology, and develop the capacity to bargain. This means that
within-household asset endowments, better per capita of total farm size owned is positively and
significantly related to commercialization intensity. In other words households whose per capita
owned farm sizes is relatively big are likely to be commercialized and also more intensively
commercialized over time compared to those whose per capita farm sizes owned is small. The
27
result can be interpreted as an increase in per capita farm size by 1 ha is likely to increase the
commercialization intensity by about 0.75%. The implication of this finding is can be that
households with a bigger farm size are likely to diversify their production into cash and have a
higher probability of producing more food crops beyond their subsistence consumption. In fact,
according to report of IFPRI by Chapoto et al., (2013) and Jayne and Muyanga (2012), most of
the agricultural production increases in Africa has been as a result of area expansion and not
productivity growth. Empirical work in south Asia by Sharma et al., (2012) also found out that
one of the major constraints faced by smallholder farmers in responding to market driven
commercialization opportunities in the region included small and fragmentation of land holdings.
Similarly, the level of income a household generate which is also linked to the size of farm in part
is an important factor determining the degree of commercialization. Households with higher level
of income tend to be less commercialized; this could be because much of the income was from
non-farm, off-farm, remittances and aid as compared to the farm generated income.
Moreover, the intensity of livelihoods diversity and total volume of farm product yielded
coefficients of 0.0201 and 0.018 respectively and were found significant at all conventional
probability level in determining the degree of commercialization. These same variables had also
an impact on the market participation decision; where livelihoods diversification intensity has a
coefficient of 0.158 and volume of farm produce 0.0335, both being significant at 5% probability
levels. The study area being located to highly vulnerable to perfect competitive price and climatic
shocks, the justification for the significance of these two variables could be that when households
have a diversified livelihood options, they will have diverse choices of product to offer to the
market. Even if one of the enterprises face challenge either due to price fall or climate change
induced shocks, households could still rely on the other enterprises to participate in a market and
meet critical cash needs. Similarly the volume of product is critical in allowing households to
participate in a market as well as level of participation. This is because HHs are largely subsistence
oriented and whatever is taken to the market is always what is in excess of household consumption.
This is in line with the above findings that HH are less profit oriented and are more tilted toward
risk aversion through enterprise diversification.
Natural and Agro-climatic zone
Households in the lowland and midland agro-climatic zones compared to highland benefits largely
by growing crops that can be marketed because the land receives sediments and other soil nutrient
components coming from the highlands by floods. This has resulted in a positive impact on
farmer’s income where their living standards have changed through time. Due to the flooding of
the lowland catchment, farmers also benefit from production of verities of crops, which have a
high market value. Especially during normal rainy seasons the areas have benefited the farmers in
planting marketable crops by providing fertile soil, but farmers residing in those areas have also
listed drought and flooding to be as few of the major biophysical constraints they face in
agricultural transformation where un-timely frequent rainfall failure and flooding have destroyed
the grown crops. Interventions by the government and the households have been seen in order to
control the damage flooding may have by applying water harvesting methods which in return have
resulted in a positive impact to the community and the households from which they were able to
harvest multiple time. In terms of market participation communities residing in the lowland areas
perform better, with a coefficient of marginal effect 1.5608, which is significant at all conventional
28
probability levels, whereas for the degree of commercialization both the midland and lowland has
got coefficients of 0.1301 and 0.2525 respectively; both significant at 1% probability level.
The level of land fertility and the implementation of conservation system on farm are important
factors to enhance production and productivity, which in turn render the capacity to produce in
excess of HH consumption and supply to the market. In this country, there is a situation where
several million tons of soil is taken by erosion to the neighboring countries every year. This being
the case, however, there has been relatively little or no studies on national-scale analysis of the
cost of land degradation to the national economy done, but the extent of the problem is getting
worse from year to year, showing an impact on the declining of soil fertility, particularly on fields
away from the homesteads of smallholder farmers. The level of physical and biological
conservation done across the nation is very low compared to the policy set for the purpose,
ministerial offices opened to ensure the same, and the propagandas done through mass medias.
From the qualitative information collected through FGD and KII with household heads, farmers
perceive their lack of ability to fallow on the implementation of fertility restoration method to be
a more important reason for declining fertility than erosion, though they do regret the loss of good
topsoil from their fields, which is being deposited on the fields below, owned by other farmers.
When a bund is cut down, the topsoil collected behind it is shared by the owners of the fields above
and below the bund. This regular practice reduces the attraction of more long-term erosion control
practices such as planting grass lines or hedgerows of agroforestry species. As the system becomes
more intensive, however, the benefits of such practices in terms of fodder production and soil
fertility should increase relative to their labour costs. When fertility declines the productivity
declines and farmers could not produce what is sufficient for their household, let alone supplying
to the market.
In line with this, the regression result indicated significant positive relation of the degree of
commercialization with soil fertility level and the intensity of soil and water conservation
measures. The regression coefficients for the level of soil fertility and for the intensity of
conservation level were 0.039 and 0.1055 respectively. Both coefficients were significant at 5%
probability level. Thus a unit increase in the average soil fertility score of all operated plots is
likely to increase their degree of commercialization by about 3.9%. Similarly a unit hectare of land
brought under appropriate soil and water conservation measure increase the degree of
commercialization by 10.55%.
Even though ownership of different farm plots allows variability and risk minimization
opportunities, fragmentation of land holdings is severe when it is too much and the plots are distant
from one another. In the study area land is highly fragmented into many pieces up to maximum of
9 plots per household, in which a parcel go as small as 0.15 hectare or less. This challenges the
production of uniform output for market purposes as the agronomy of the plots differ and create
inconvenience for the cultivation of same or similar crops. Moreover, it challenges the
employability of economy of scale for some of the farm resources. Similarly available organic
materials, such as manure and crop residues, are used only on fields nearest the homestead. The
fields farther from the home receive no inputs but are left fallow more often. Besides being difficult
to reach, the far fields are also difficult to guard against incursion by grazing cattle. The regression
result for land fragmentation is negatively related to the market participation decision. It indicates
29
a unit increase in the level of fragmentation of available land reduces the probability to participate
in a market by 42.22%, with 95% significance level.
One of the others critical constraints in the effort of commercializing smallholders are the
unpredictability of varying climatic conditions temporally and the impact of global climate change.
All the earlier works done failed to grasp climate variables in their analysis of smallholder
commercialization, whereas global warming and climate change have also affected agriculture
with adverse effects on temperatures, rainfall patterns and water availability. These conditions and
the net production deficit make traditional smallholder agriculture less rewarding, hence the need
for adapted approaches and market-oriented productivity revolution to meet the growing demand.
Climate change impacts not only the production and productivity of agricultural enterprises, but
also the quality of produced supplied to markets. The mounting temperature from year to year has
significant negative implication on the perishable agricultural products supplied, subjecting
significantly to post harvest losses. Especially, at the home of smallholder farmer where there is a
lack of appropriate storage facilities and freezing equipment, produces are highly vulnerable from
rotting, loss to rodents, and infestations.
Therefore, as the environment becomes more dynamic and susceptible to climate change induced
shocks and stresses; the viability of subsistence agriculture in guaranteeing livelihoods declines
and the potential to commercialize smallholders is challenged. This needs a very integrated
mitigation and adaptation measures to be instilled into the farming system. In line with this, the
study area is found to be highly vulnerable to a range of shocks and stresses like drought, flood,
epidemics, wind, landslides and other events. Annually 21.1% of the farm households and 13% of
farmlands are affected by one or combination of these shocks and stresses (Gutu et al, 2012c). The
econometric result from the Tobit regression model also affirms to this finding that households
ability to anticipate rainfall, temperature and climate change induced shocks and stresses have
positive impact on commercialization. The variable has a coefficient of 0.1624 significant 5%
probability levels. This means that households who have a good perception of the current climatic
conditions have probability of commercializing their farms by 16.24%. Therefore, there is a need
for appropriate climate information management system, designing of appropriate mitigation and
adaptation strategies depending on the agro-climatic zones.
Agricultural Logistics and Facilities
The business challenges in the commercialization of smallholder agricultural are both more
complex and broader with respect to those who will be taking part in a market as a smallholder.
Some of the challenges arise from the agricultural logistics, which are outside the control of rural
market participants. The quality of agricultural logistics, which includes but not limited to access
to road, storage facilities, transport facilities, access to price information and communication
services are key in prompting the market participation decision and enhance the degree of
commercialization. In a situation where these factors are either lacking or underdeveloped, the rate
of creating rural transformation through market integration and improvement of the degree of
commercialization is less likely. Asfaw et al. (2010) revealed that distance, poor rural road
networks, lack of appropriate transportation facilities and poor communication system are
negatively correlated with marketed surplus because of the increased transaction costs associated
with marketing.
30
In this particular study, several variables representing the diverse agricultural logistics were
included into the analytical model. The result however, showed significance only for TV
ownership, access to market information through social network, and distance from the market.
Ownership of TV as a source of information on diverse agricultural issues was found to influence
market participation decision with a marginal effect of 1.513 significant at 10% probability level.
Of course in Ethiopia TV ownership is one measure for wealth, modernization, closeness to urban
sentiments and extricating from subsistence agricultural. As one moves into the remote areas far
away from rural villages and towns, the likelihood of encountering a single household with TV or
even sometimes a radio is very rare given the lack of power supply, network availability and
artisans to maintain. Hence the result states that a household that owns a TV has 151% probability
of participating in a market as opposed to a household that does not have.
On the other hand access to market information through the dense of social network, agents, and
neighbors is a key determinant of the degree of commercialization. Basically a single household
cannot be separated from its neighbor and the surrounding community and become more
commercialized given the strong cultural and traditional ties in the rural setting. Hence, the actions
and interactions that take place within a community is an important factor for the degree of
engagement in agricultural business. The result from the regression shows those households who
access market information, especially price information have a 0.0953 probability to be more
commercialized as opposed to their counterparts. The result is significant at 1% probability level.
Another major factors impeding households degree of market orientation is the distance from the
market, which is significant at 1% probability level. A one hour increase from the market brings
decreases in the degree of commercialization by 0.069.
4.3 Outcome of Smallholder Commercialization
4.3.1 Commercialization and Poverty
The ultimate of commercialization after all is to bring the needed rural transformation for the
improvement of the welfare of society and enable them to sustainably progress out of the current
multifaceted poverty. This means that commercialization of agriculture is not an end by itself for
farmers, but it is rather an intermediate outcome on the way to welfare goals. Hence by so many
authors and organization such as von Braun (2008), and NEPAD, (2003) accelerated agricultural
growth is imperative for alleviating and has been identified as the vehicle for economic
development and MDGs in Africa. Similarly, even if there has been no consensus on the impact
of agricultural commercialization on household welfare, the World Bank (2000) asserts three
components of welfare that can be achieved through commercialization. These aspects of welfare
are poverty, inequality and vulnerability. It is from this view points that this study was determined
to examine as to whether households or individuals have enough resources or abilities to meet their
needs through commercialization of their farming. Welfare in here is represented in terms of
consumption of basic food (grains), high-value foods (livestock products) and expenditure on
clothes and shoes, durable goods, education and healthcare. In this context, those who have enough
resources to meet their food needs are usually referred to as food secure. On the other hand, those
with resources to meet both food and non-food needs are referred to as non-poor households (not
in poverty class) and the converse is also true. Therefore, the concept of welfare is multi-
dimensional and flexible when used and whenever it is introduced in this study.
31
This and other literature argue that the main positive outcome of commercialization is better
wellbeing of households resulted from increased income they get from comparative advantage and
technology diffusion from experience shared during market exchange and similarly the welfare
outcome of commercialization is highly specific to location and policy environment. As has been
said in the preceding section, the outcome of driving smallholders into commercialization
sometimes ends in opposite result and may even lead to welfare loss. For instance the works of
Pingali and Rosegrant, (1995); Pingali (1997) and Strasberg et al., (1999) contained the theoretical
arguments against agricultural commercialization that it contributes to poverty and food insecurity.
The finding from this study tends to support this later argument. Table 4 summarize the poverty
level of households in the study area and the relationship with level of commercialization.
Table 4. Classification of HH by poverty status and market participation
Poverty Status Percentage Market
Participation Poor Non-poor Total
Poor 90%
Non-poor 10% Market participants 90% 10% 100%
Total 100%
Non-market
participants 85% 15% 100%
Source: Computed from survey data
From table 4, apparently 90% of the total population are below the poverty line and unable to meet
the basic need of life. Surprisingly the proportions of poor households who are unable to meet the
basic needs of life are within the market participating category.
Moreover, the data has shown a clear picture of the fact that increase in the degree of smallholder
commercialization leads to loss of productivity and the capacity to produce food on the basis that
farmers will drop productions of those crops that are significantly consumed at home in favor of
marketable crops (such as potato). This in turn exposes households to increased risks usually
associated with market price fluctuations that are normally of little concern in subsistence
production settings. In addition, commercialized farmers face increased risks associated with yield
fluctuation due to climate variability. When production becomes more specialized there is a loss
of advantages associated with diversification as risk minimization strategy. Given the risky
economic environment under which smallholder farmers operate, maintenance of own food
supplies can therefore be economically first best strategy. This is indication for the need to
approach smallholder commercialization from a different angle as opposed to what has been taking
place in the past. Such approach must take into consideration of the situation of smallholder
farmers; resource endowments, farming system, their proximity to market, natural environment,
and more.
4.3.2 Determinants of HH poverty
Poverty and food insecurity are the daily experiences of most people of the study areas as expressed
with high proportion of people living below the cutoff point. There are widely varying reasons for
the prevalence of deep rooted poverty and food insecurity. Various writers such as FSS (2002) and
Tassew, (2004) argue that the causes of poverty in rural Ethiopia include lack of income, pervasive
diseases, malnutrition and lack of decent health care, schooling and potable water, which are
compounded by high rural unemployment/underemployment, fast depletion of natural resources
32
and the increasing shrinkage of cultivable land. At a micro level, lack of asset and endowment
such as land, oxen, off-farm income opportunities, etc further exacerbate chronic food insecurity.
Another point worth mentioning is that the bulk of the Ethiopian population lives in rural areas
where incomes, largely derived from agriculture, are very low and subject to the vagaries of nature.
Because of persistent dominance of rain-fed traditional agriculture, the economy is prone to sharp
and frequent fluctuations due to changes in weather condition. An example of such could be the
current horn of African crises due to the 2015 Eli Nino where over 10.2 million people in addition
to the already about 8 million food insecure households are suffering from drought and flooding,
leaving them to food aid. As one of the coping strategies in such situation large number of families
are compelled to practice over cultivation, overgrazing, and expansion of cultivable land at the
expense of the forest, pasture and sloppy areas, which eventually causes degradation of the natural
resource base and declined productivity, thus exacerbating poverty. Table 5 presents the logistic
regression output regarding critical factors determining poverty situation among the households of
the study area.
Table 5. Logistic regression result for HH poverty
Variables Marginal Effects St. Error
Marital status -3.1138*** 0.7951
Household wealth -0.8710** 0.4301
Size of land cultivated (ha) -0.0216* 0.0295
Livestock ownership (TLU) -0.5188*** 0.1402
Total output per ha -0.2578*** 0.0832
Diversity of livelihood options 0.2203* 0.1290
Proportion of saving-to-Income -36.7324*** 8.9376
Institutional participations -0.6708*** 0.2211
Agro climatic zone: midland 1.9124** 0.9723
Vulnerability status to CC: Highly vulnerable 0.6946* 0.4219
HH level of adaptation to CC (Indexed) -1.9923* 1.1052
Market participation decision 1.8908* 0.8875
Con. 13.5963** 4.6832
Log likelihood -59.54
Wald chi2(25) 64.41
Prob > chi2 0.000 ***,** and * implies significance at 1%, 5% and 10% probability levels respectively
Source: Model output for the survey data
Out of the twenty five different socio-economic, natural, demographic, logistics and climate
change variables included into the model, 12 of them were found to be statistically significant in
affecting consumption poverty status. The maximum likelihood estimate of the logit model shows
that marital status, level of household wealth, size of land cultivated, livestock ownership, farm
productivity, number of enterprises diversity, proportion of household saving to income,
participation in local institutions, residence in mid-agro climatic zones, HH’s degree of
vulnerability to climate change induced shocks and stresses, households’ level of adaptation to CC
33
and participation in the market are important policy factors in reducing poverty and ensuring
sustainable development.
The degree of smallholder commercialization could not be proved of being significant determinant
of poverty in the logit model result. However, contrary to the expectation, the statistical result
(Figure 2) indicates that there is a positive relationship between poverty and level of
commercialization. On the other hand, market participation and poverty status was found to be
positively related with statistically significant coefficient at 10% probability level. This means that
it is those who are very poor and unable to meet the basic needs of life from the farming system
that usually tend to bear the rigors of market access challenges and travel all those long distance
to take part in the market.
5. CONCLUSION AND RECOMMENDATIONS
5.1 Conclusion
The findings from this study lead us to make certain important conclusions in terms of the
smallholders’ market participation, degree of commercialization, and poverty status for the study
area. In the first place, there is significant proportion of households who do not take part in the
product market because of various reasons. Market participation is an important first step in
determining the degree of smallholder commercialization. Even if the study area is at a closest
distance to the nations’ capital and is relatively better in terms of some of the infrastructure, the
findings evidence that the degree of commercialization in the area is very low, to the extent that
only insignificant proportion of households’ have engaged in market oriented production. The
degree of commercialization is influenced by a combination of range of demographic, social,
economic, logistic and climate change factors, which indicates the need for a comprehensive
approach to commercialization. There is difference among the commercialized and semi
commercialized in terms of some of the important factors influencing the degree of
commercialization.
Unlike many of the literature that has brought significant positive relationship between market
participation and poverty, this study found out that the fact to be the opposite. Those participating
in the markets are rather poor than non-participation. As such the degree of commercialization is
not significant determinants of poverty; rather poverty is influenced by other socio-economic,
natural and climatic factors. Moreover, there is a trade-off relationship between the degree of
commercialization and household’s rural poverty.
5.2 Recommendations
- The degree of commercialization of the smallholder in the central part of the country should
be significantly improved through appropriately designed policy. The level of growing
commercial crops in all of the three agro-climatic zones is very low and even non-existent in
some cases. Households are rather using staple food to meet cash needs. Therefore, there must
be an intervention strategy by the government to improve the engagement of HH in market
oriented agriculture through affirmative and supportive actions;
- The commercialization of smallholder farmers is constrained by a variety of factors. Hence,
the government should be able to design strategy that boost HH access to climate information,
34
improved adaptation to climate change induced shocks and stresses, improve access to
agricultural logistics, and improve service provision such as access to credit, access to market
information, institutional strengthening and more. More specifically, the agricultural extension
package should include the improvement of rural entrepreneurship, climate change related
awareness, and creation of market linkages;
- At present, commercialization is not contributing to the poverty reduction strategy in the areas.
This is because the strength of the link between commercialization and poverty level is very
weak. Hence, deliberate intervention should be made in enabling business oriented farming as
a way out of the vicious circle of HH poverty;
- The ever decreasing size of land and the frequency of land fragmentation are instilling a serious
bottleneck to promote any sort of commercialization. Hence means should be sought to make
an exit from the farming system so that the land that would be left behind enables the remnants
and productive households to commercialize.
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39
APPENDICES
Annex 1. Conceptual framework for measuring level of commercialization and its impact on poverty
Source: Developed by the author
The landscape
Industrial Growth, Agricultural Logistics,
Land tenure security
Cli
mat
e v
aria
bil
ity
(sh
ock
s an
d
Str
ess)
Rules of the game (institutions) Policies
Peace and Security,
Nat
ura
l R
eso
urc
es d
egra
dat
ion
Lan
d g
rab
bin
g a
nd d
isp
lace
men
t
Governance issue
Su
bsi
sten
ce o
rien
tati
on
Access to Services
- Extension - Imp. Inputs
- Market information
- Credit
- Entrepreneurial train.
Demography
-Literacy -Family size
-Health - Marital
-Gender
Empowered World
View
- Aspirations
- Self motivation
- Willingness for
transformation
- Storage
Degree of Stallholder Commercialization (Market Oriented Agr. Production)
Market Participation
Facilities
- Road
- Dist. to Market
- Transportation
- Storage
Resource Holding
- Land size - Land
fertility
- Livestock
- Perennial crops
- Water for irrigation
Smallholder Commercialization’s Impact on Poverty Reduction
40
Annex 2. Estimation of farm income required to meet minimum requirement for average family
A Types of Food
Consumed
Average
Consumptio
n (KG/yr)
%age
share
Total KCal
for 4
Adults
/year
Total KG
food
required
per year
for 4
Adults
Average
current
price in
North
Shewa
(Birr/kg)
Total Income
required to
purchase this
food (Birr) Cereals
Teff 104 14.04 471298.25 131.32 10 1313.17
Maize 55 7.49 251396.83 73.51 5.5 404.29
Wheat 106 14.37 482459.86 134.99 6 809.95
Barely 45 6.09 204416.55 54.91 5 274.53
Sorghum 158 21.37 717583.30 188.59 6 1131.54
B Leguminous
Pea 22 3.00 100653.90 28.33 19 538.26
Beans 10 1.40 46885.11 44.70 10 447.04
Chick pea 25 3.41 114357.80 20.06 9 180.56
Faba bean 36 4.86 163141.70 498.49 11 5483.42
C Oil
Soya 2 0.29 9802.10 4.46 20 89.11
Sesame 14 1.89 63443.99 7.40 16.5 122.13
D Fruits
Orange 4 0.54 18126.86 63.23 6 379.39
Banana 6 0.81 27190.28 58.26 4.5 262.19
E Vegetables
Beet root 12 1.66 55640.38 123.65 2 247.29
Potato 15 2.02 67975.71 12.72 5 63.61
Tomato 9 1.21 40785.43 407.85 6 2447.13
Onion 57 7.70 258629.44 923.68 3.5 3232.87
Cabbage 15 2.02 67726.46 298.79 3 896.37
F Livestock byproduct Meat 19 2.56 86102.56 75.00 90 6750.20
Milk 10 1.35 45317.14 61.49 13 799.35
Butter 14 1.88 63095.05 8.57 120 1028.16
Total consumption 741 100 3358000 26,900.6
G Other Non-Agricultural food Expenditures (Birr)
Average health expenditure
98
Average education expenditure
256
Average expenditure on cloth
960
Average expenditure on industrial consumption
670 Average expenditure on social obligations
210
Grand Total (Birr) 29,094.71
Sources: Authors’ calculation based on HH survey
41
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42