ex ante impact assessment and seasonal climate forecasts: status and issues philip thornton...

33
Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya Institute of Atmospheric and Environmental Sciences, University of Edinburgh, Scotland International Workshop on Climate Prediction and Agriculture: Advances and Challenges WMO, Geneva, 11-13 May 2005

Upload: jonah-stewart

Post on 17-Dec-2015

221 views

Category:

Documents


1 download

TRANSCRIPT

Page 1: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Ex ante impact assessmentand seasonal climate forecasts:

status and issues

Philip Thornton

International Livestock Research Institute, Nairobi, Kenya

Institute of Atmospheric and Environmental Sciences, University of Edinburgh, Scotland

International Workshop on Climate Predictionand Agriculture: Advances and Challenges

WMO, Geneva, 11-13 May 2005

Page 2: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Outline

• Ex ante impact assessment

• Some methods and tools

• Impact assessment and climate forecasting

• Moving the agenda forward

2

Page 3: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Presentation focus

• Ex ante methods of assessing impacts at an aggregated level

• potential societal impacts of change in agricultural systems

• Change as a result of

• indigenous innovation

• research (technology, policy)

• drivers such as population growth

3

Page 4: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Presentation focus

• A large and growing literature on ex ante assessment of climate forecast use at the household and individual level

• Much less seems to have been done at aggregated levels

4

Page 5: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

A traditional view of impact assessment

YearZ

Research costs

Extension costs

Adoption costs on-farm

Adapted from Randolph et al. (2001)

Impacts

5

Page 6: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

A traditional view of impact assessment

• A vast literature exists based on this model

• The effectiveness of this type of ex ante IA is dependent on monitoring and evaluation

• In practice, if things cannot be valued relatively easily, they tend to be ignored

• Sees the innovation process as being highly linear and one-way

6

Page 7: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Sayer and Campbell (2003)

7

Page 8: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Another view of impact assessment

Year0

Adaptation, uptake, dis-adoption

YearY

%

SubsystemIdentification

Reflection

Action

Adaptation

UpdatingSuccessive INRMlearning cycles

Implementation costs of doing INRM

Impacts on:

• Production• Income• Food security• Vulnerability• Adaptive capacity• ...

8

Page 9: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Questions of ex ante impact assessment

However the innovation process is seen, it involves some sequence of change uptake impact, and there are common questions to be answered:

• Who are the clients?

• Impact where?

• Impact on whom?

• Which impacts?

• How to value the impacts?9

Page 10: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Who are the clients for ex ante impact assessment?

• Policy makers at national, regional, local level (decisions to be made in pursuit of policy objectives)

• Donors (priority setting, targeting)

• Researchers (priority setting, targeting)

• Private sector (investment decisions)

• General public (direct impacts of the use of public resources)

10

Page 11: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Impact where, and on whom?

• Physical location – “recommendation domains”, targeting

• Characteristics of target populations in these areas

11

Page 12: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Site selection, Sub-Saharan Africa Challenge Programme

Spatial data • Administrative boundaries• Climatological data• Farming systems• Length of growing period• Livestock populations• Market access• Human population• Soils and erosion risk• Vegetation cover• Protected areas• Watersheds, lakes, rivers

Non-spatial data

• Institutional environment• Policy environment• Local livelihood options• Critical health issues• Broad poverty trends• Social capital• Commercial sector linkages• Added value• Representative-ness• Potential for impact

12

Page 13: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Site characteristic

Kano, Katsina, Maradi

Lake KivuZimbabwe-

Mozambique-Malawi corridor

LGP (months) 2.5 - 6 > 9 >5 - 10

Annual rainfall (mm)

500-1100 1,500-2,000 700 - 800

ReliefMostly flat intersected with inland valleys

Mostly mountainous

From mountainous to flat plains towards coast

Policy environment Medium Weaker Weaker

Market environment

Medium Weaker Medium

Institutional environment

Stronger Weaker Stronger

Principal NRM issue Soil nutrients VulnerabilitySoil fertility

management

Site area (km2) 83,900 19,500 274,000

SSA-CP site selection

13

Page 14: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

SSA-CP extrapolationdomain for Lake Kivu

Elevation > 1500 mRainfall > 800 mmPop density > 50 / km2

Access indicator < 90

Area 19,500 361,700 km2

Population (2000) 15 69 millionPopulation (2030) 29 131 million

Notenbaert (2004)14

Page 15: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Which impacts, and how to value them?

Which impacts will depend on the situation:

• Production, productivity

• Poverty alleviation

• Food security

• Environment

• Capacity building

• Commodity prices for consumers

• Others ...15

Page 16: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Commercial

• Raise calves for market (reproductive capacity of the herd is key)

• Age-sex composition of the herd is carefully controlled

• Want quick turn-over in calf production

• Cull unproductive animals

Communal

• Maintain cattle as a capital and social asset

• Maintain as large a herd as possible, sell animals only in extremis

• Practise goat production as a hedge against drought

• Do not under-utilise pasture

Production objectives of livestock keepers inVryberg District, Northwest Province, RSA

Hudson (2002)16

Page 17: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Mixed crop-livestock systems in Kenya and N Tanzaniaafter Seré and Steinfeld (1996)

17

Page 18: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Population

(persons km-2)

% of land cultivated

Small intensive SSI >250 >20

Medium intensive MSI 100-250 10 - 20

Medium semi-intensive MSSI 30-100 1.5 - 10

Medium extensive MSE <30 0 - 1.5

Characteristics of four maize-based mixed systems identified in the Eastern and Southern Africa region

Source: Thorne et al. (2002)

Functions

of livestock

Dairy, manure

Dairy, manure, draft

Draft, meat, manure

Draft, meat

18

Page 19: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Method Description Pros, Cons Suitability for Assessing

Change Uptake Impacts

Ad hoc Informal assessment involving little analysis

Cheap and quick; sometimes not very good

Low Low Low

Scoring methods

Measurable indicators and weights assigned to a set of criteria and the results ranked

Intuitively appealing, hard to scale indicators to match policy objectives

Medium Medium Medium

Economic surplus

Estimate how change will improve on-farm productivity and reduce costs of production and consumer prices

Comprehensive, data demanding and needs analytical skill

High Medium Medium

“Harder” simulation models

Assess biophysical impacts at a range of scales using quantitative models

Data intensive, time consuming, difficult to calibrate and test

Low Low High

Evaluating the impacts (a subsample)

19

Page 20: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Information needed for an ex ante assessment

Stage 1. Change (e.g. research)

Resources required

Time

Partnerships and skills

Intermediate and final outputs

Probability of success

Level of

uncertainty

Mod

Mod

Low

Mod

Mod-High

How to obtain

Peer review

Scoring methods

Econometric methods

20

Page 21: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Stage 2. Uptake

Who, characteristics

Where, characteristics

Infrastructure needed

Policies needed

Adoption rate, ceiling

Costs involved

Level of

uncertainty

Mod

Mod

High

High

High

Mod-High

How to obtain

GIS, surveys

GIS, surveys

GIS

Surveys

Scoring methods

Scoring methods

Information needed for an ex ante assessment

21

Page 22: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Stage 3. Impact quantification

Production

Income

Environment

Capacity building

Costs, prices, elasticities

Level of

uncertainty

Mod

Mod

High

High

Mod

How to obtain

Biophysical models

Household models

Models, scoring

Scoring methods

Lit review, surveys

Information needed for an ex ante assessment

22

Page 23: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Challenges in doing ex ante impact assessmentsrelated to climate forecasts

1. The nature of climate forecasts

Which impacts to measure?Seasonal climate forecasts may modify risk, and this has to be taken into account

Impacts on whom?People grow crops and keep livestock for various reasons, not all to do with food production and cash generation

How to assess uptake?Seasonal forecasts may be inaccurateTheir uptake will depend on credibility of the source and forecast skill

23

Page 24: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Challenges in doing ex ante impact assessmentsrelated to climate forecasts

2. The need to assess impacts across time and space

Which impacts to measure?

Aggregate impacts of seasonal climate forecast use may substantially modify local prices

Impacts of modified management may be felt over entire production cycles, or even multiple production cycles

24

Page 25: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Challenges in doing ex ante impact assessmentsrelated to climate forecasts

3. Assessing what is required of the institutional and policy environments

How to assess uptake?

What support is likely to be necessary, and how much may it cost to set in place and maintain?

25

Page 26: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Information needed for an ex ante assessmentrelated to seasonal climate forecasts

Stage 1. Change (e.g. implementation)

Resources required

Time

Partnerships and skills

Probability of different levels of success

Level of

uncertainty

Mod

Mod

High

High

How to obtain

Scoring methods

Peer review

26

Page 27: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Stage 2. Uptake

Who, characteristics

Where, characteristics

Infrastructure needed

Policies needed

Adoption rate, ceiling

Costs involved

Level of

uncertainty

Mod

Mod

High

High

High

High

How to obtain

GIS, surveys

GIS, surveys

GIS

Surveys

Scoring methods

Scoring methods

Information needed for an ex ante assessmentrelated to seasonal climate forecasts

27

Page 28: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Stage 3. Impact quantification

Production

Income, risk and food security

Changes in vulnerability

Changes in adaptive capacity

Capacity building

Costs, prices, elasticities

Level of

uncertainty

Mod

Mod-High

High

High

High

Mod-High

How to obtain

Biophysical models

Household models

Models, scoring?

Models, scoring?

Scoring methods

Lit review, surveys

Information needed for an ex ante assessmentrelated to seasonal climate forecasts

28

Page 29: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Future developments to help overcome the challenges

1 Understanding better who the potential clients are, and what characterises them

• Partly a question of spatial info (poverty maps, new continental/global data layers, etc)

• But also a question of information on non-spatial determinants of poverty and vulnerability, how decision makers actually make decisions, information flows and power structures in communities, etc

29

Page 30: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Future developments to help overcome the challenges

2 Developing tools that are better able to cope with the demands of climate forecast assessment

May need new or adapted behavioural frameworks, beyond profit or utility maximisation, to take account of impacts on

• food security• reduction of household vulnerability• increases in household adaptive capacity

Different types of models may help: agent based, systems dynamics

30

Page 31: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Future developments to help overcome the challenges

3 Developing approaches that combine quantitative and qualitative elements

Linked also to provision of baseline data, for monitoring and evaluation

That can then be linked to ex post impact assessments, so that the lessons learned from this whole process can be applied elsewhere in the pursuit of poverty alleviation goals

31

Page 32: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Future developments to help overcome the challenges

4 Making the process of impact assessment participatory

The process is often as important as (if not more important than) the results of the analysis

Getting all stakeholders involved in thinking broadly about the problems involved and the potential impacts

32

Page 33: Ex ante impact assessment and seasonal climate forecasts: status and issues Philip Thornton International Livestock Research Institute, Nairobi, Kenya

Thank you

[email protected]