summary of economic survey 2019 vol - i · 2 next 5 years – blueprint for growth and jobs pm’s...
TRANSCRIPT
Summary of Economic Survey 2019 Vol - I
Budget and Survey 2019 notes: https://skidha.home.blog/2019/03/14/budget-and-es-2019/ 1
Preface .............................................................................................................................................................................................. 1
Ch1 : Shifting gears – Pvt Investment as the key driver of growth, jobs, exports, demand ............................................................. 1
Ch 2 : Policy for homo sapiens, not homo economicus – leveraging behavioral economics of ‘nudge’ .......................................... 3
Ch 3 : Nourishing Dwarfs to become giants: reorienting policies for MSME growth ....................................................................... 8
Ch 4 : Data ‘of the people, by the people, for the people’ ............................................................................................................... 9
Ch 5 : Ending Matsyanyaya – How to ramp up capacity in the lower judiciary .............................................................................. 12
Ch 6 : How does policy uncertainty affect Investment? ................................................................................................................. 13
Ch 7 : India’s demography at 2040 – Planning public good provision for 21st century .................................................................. 14
Ch 8 : From Swachh Bharat to Sundar Bharat via Swasth Bharat – an analysis of SBM ................................................................. 15
Ch 9 : Enabling inclusive growth through affordable, reliable and sustainable energy.................................................................. 16
Ch 10 : Efficient use of tech for welfare schemes – case of MGNREGS .......................................................................................... 17
Ch 11 : Redesigning a Minimum Wage system in India for inclusive growth ................................................................................. 18
Preface Sky blue cover of the survey = unfettered approach in thinking about appropriate economic model for India
2017 Nobel Prize in Economics to Prof Thaler for Behavioral Economics
Ch1 : Shifting gears – Pvt Investment as the key driver of growth, jobs, exports, demand
Accomplishments in last 5 years India became 6th largest economy in the world by sustaining higher growth rates than China => got tagged as ‘fastest
growing major economy in the world’
MPC constituted in Feb 2015 following agreement between GoI and RBI with mandate (set by GoI) to target headline
inflation of 4 ± 2% => EXCEPTION : only in 1 month since 2015 has inflation been outside this band
Eventual target of Gross Fiscal Deficit (GFD) = 3% of GDP (was 3.4% in 2018-19)
Pathways govt created for benefits of growth to ‘trickle-down’ to bottom of socio-economic ladder –
o Aadhaar Act 2016 : govt has ability to provide targeted support using UID; 90% population covered
o PM Jan Dhan Yojana : financial inclusion
o DBT possible through JAM (Jan Dhan-Aadhaar-Mobile) trinity by mandating linking of phone numbers and
Aadhaar with bank accounts. Schemes under DBT are – MGNREGA, National Social Assistance Program (NSAP),
PM Awas Yojana Gramin (PMAY-G) etc
o PM Ujjwala Yojana
o Ayushmaan Bharat Yojana – insurance cover of 5 lakh to 100 mn BPL families at premium of Rs. 100/month
Bogibeel bridge in Assam is the 2nd longest rail-cum-road bridge in Asia
Federalism
o 14th FC had increased share of states in divisible pool of central taxes from 32% to 42%; however, central
grants to states were cut down. Positive effect = states empowered to manage their revenues and
expenditures independently of the Centre
o Launch of GST; GST Council = cooperative federalism
o NITI Aayog has also helped promote cooperative federalism by setting up teams from both Centre and states
to jointly evolve development strategies
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Next 5 years – blueprint for growth and jobs PM’s vision = $5 tn economy by 2025 (this will make India world’s 3rd largest economy); to achieve this, we need to
accelerate and sustain a real GDP growth rate of 8%
As per international experience (mainly of high-growth East Asian economies like S. Korea), such growth can only be
sustained by a virtuous cycle of savings, investment (especially private investments) and exports supported by a
favourable demographic phase
Benefits of pvt investment = drives demand, creates capacity, increases labour productivity, introduces new tech,
generates jobs and allows creative destruction (refers to disruptive innovations;
https://www.investopedia.com/terms/c/creativedestruction.asp)
This Survey departs from traditional thinking in following ways
o By advocating a growth model for India that views the economy as being in a constant disequilibrium i.e. either
in a virtuous (growth) or a vicious (recession) cycle, and thus never in equilibrium
o This is because the concept of equilibrium is being challenged following the 2008 GFC
o Also, shortcoming in traditional view is that it attempts to solve job creation, demand, exports, and economic
growth as separate problems
What is the key driver that catalyses the economy into a virtuous cycle? – Investment can create a self-sustaining
virtuous cycle in India
o Public investment – crowding OUT effect because govt will compete for funds with private sector, but
crowding IN effect because the good infra created due to public investment will encourage higher private
investments. Overall effect is that of crowding IN as per 2019 economic survey
o Private investment
Importance of Savings
o Feldstein-Horioka puzzle – both of them thought that if capital is perfectly mobile across countries, domestic
savings and domestic investments would have no correlation because borrowers would prefer borrowing from
abroad at global rates and savers would prefer lending abroad at global rates. However, when they analysed
data they found that domestic savings rate and domestic investment rates are highly correlated. And this
PUZZLED them, hence the name.
Conclusion : a high investment effort must be backed by domestic savings
o Positive correlation between savings and growth is stronger than positive correlation between investment and
growth => savings more important
o Investments are risky => loss of invested capital due to business failure possible => savings have to increase
more than investments to account for this
Jobs
o Claim that investment displaces jobs is not true because when entire value chain is examined, it is found that
production of capital goods, R&D and supply chains generate jobs. What matters is that investment should
enhance productivity and international competitiveness.
o Eg. China – country with highest investment rates also created the most jobs
Exports - Exports essential for higher growth because higher savings would mean that domestic consumption cannot
be a driver of final demand (since, high domestic savings => low domestic consumption). Therefore, final demand for
the large capacities created by high investment has to come from exports.
o Current disruptions in global trade provide an opportunity for India to insert itself into global supply chains
o High Level Advisory Group under Surjit Bhalla has submitted report on increasing exports
Navigating a world of constant dis-equilibrium Earlier attempt to create 5-year plans used ‘equilibrium framework’ and hence failed because it was too prescriptive
for an inherently unpredictable world
Tools for navigating unpredictable economy (chapters in this Economic Survey connected through this theme) –
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o Ch 1 : modeling ‘virtuous’ and ‘vicious’ cycle
o Ch 2 : incorporating insights from behavioral economics to change behavior (taking Beti Bachao Beti padhao,
Swachh Bharat Abhiyaan, IBC as case studies)
o Ch 3 : measurement of new concepts
o Ch 4 : employing data as a tool to enable welfare-driven policy-making
o Ch 9 : sustainable development
o Ch 10 : using tech to administer welfare programs effectively and reduce inequality
Benefits of ‘data’ in governance – enhance ease of living for citizens, enable evidence-based policy, improve targeting
in welfare schemes, uncover unmet needs, integrate fragmented markets, bring greater accountability in public
services, generate greater citizen participation in governance etc
Legal systems and contract enforcement (rule of law) necessary in an uncertain economy because uncertainty results
in temptation to renege on contracts when actual outcome is different from expected outcome. Even thinkers like
Kautilya and Kamandak saw the rule of law as key to averty Matysa-nyaya (rule of the fish / law of the jungle)
o Unfortunately this is not good in India; WB’s Ease of Doing Business ranked India 163 for CONTRACT
ENFORCEMENT
o Legal system reform must be a top priority
o Productivity of courts will have to increase along with use of tech, increase in working days and administrative
reforms
Consistency in economic policy making
o Surges in economic policy uncertainty increase the systematic risk => increase in cost of capital in economy =>
lower investment
Role of demographics in ‘virtuous’ cycle
o Working age population in India (20-59 yrs) will increase to about 60% in 2041
o Rise in share of working age population due to decline in fertility rate => higher per capita income as output
per worker remains unchanged but number of youth dependents declines
o Savings increase => investment increases
Demographics and wages/income growth are the major factors that drive savings. Therefore, keeping domestic savings
rates high may not encourage savings behavior significantly and hence only a mildly positive real rate is good enough.
This gives policymakers a key degree of freedom (they do not have to worry about keeping interest rates high in order
to attract savings). Thus reduction in real interest rates can foster investment and thereby set in motion the virtuous
cycle of investment, growth, exports and jobs
Role of job creation and earnings
o Dwarf firms = small firms that never grow beyond their small size, i.e. firms that are both small (<100 workers)
and older than 10 years; these dominate the Indian economy and hold back job creation and productivity; 50%
of total number of firms but employ only 13% of total workers
o Firms that are able to grow over time to become large are the biggest contributors to employment and
productivity in the economy; 9.5% of total firms but employ >50% of total workers
Ch 2 : Policy for homo sapiens, not homo economicus – leveraging behavioral economics
of ‘nudge’ Nudge policies gently steer people towards desirable behavior even while preserving their liberty to choose. Such
policies leverage insights from human psychology to influence the choice architecture of people
Homo economicus (hypothetical) are rational and unbiased people who behave like robots and form the basis of
classical economic theory. For them, the choice architecture is irrelevant as they would make the most optimal choice
irrespective of the way the choices are presented to them. However, real people respond to choice architecture
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Behavioral economics relies on this essential insight from human psychology that real people do not always behave
like robots
Example – as individuals suffer from tremendous inertia when they have to make a choice, they tend to stick to the
default option provided in a form. This was utilized in the USA to automatically enroll people to a savings plan. Option
in the form ask people to check a box if they did NOT want to enroll. By default, they got enrolled
Successful applications of behavioral insights in India
Swachh Bharat Mission
First program to emphasize behavior change as much as, if not more than, construction of toilets
SBM achieved success not only in providing toilets but also in ensuring that these toilets are used
Measures of female literacy and early marriage of girls correlate powerfully with access and usage of toilets across
states. Thus, toilet access and usage can be suitably increased with behavioral nudges that push female literacy rates
up and discourage early marriage of girls
How were behavioral insights used in SBM
o Association with Gandhiji, India’s most revered role model; to leverage values propagated by him and create a
mass movement along the lines of satyagraha
o Logo is also Gandhiji’s specs
o > 5 lakh ‘swacchagrahis’ were recruited – named similar to ‘satyagrahis’; to leverage their local ties to reinforce
the message; people are more likely to listen to and emulate someone they know; thus this proved more
effective than mass media campaigns
o Relying on community based approaches to sanitation – Participatory Rural Appraisal, Community-led Total
Sanitation etc; non-conformers find their act more visible to their community and a desire to fit in led many to
renounce open defecation
Beti Bachao Beti Padhao
Flagged off at Panipat in Haryana which had the worst Child Sex Ratio (CSR) of 834 among Indian states, as compared
to national average of 919
How were behavioral insights used in BBBP
o Association of battle against socially ingrained bias against girl child with famous battles fought at Panipat
o Expansion of program on 8th March 2018 - International Women’s Day
o Expansion of program from Jhunjhunu in Rajasthan, the state which had improved the most from a CSR of 888
in 2011 to 922 in 2017-18 – to send the msg that good performance is rewarded
o Selfie with Daughter program made people want to conform to the new social norm of celebrating girl children
rather than viewing them as a burden
o ‘Failure bias’ is when people tend to think that failing is more prevalent and is the norm. Selfie with daughter
campaign helped correct the failure bias by focusing on people who treat their girls fairly
Power of clear messaging
This has been utilized by naming schemes like NAMAMI Gange, POSHAN Abhiyaan, UJJAWALA, PM MUDRA Yojana, Jan
DHAN Yojana, AYUSHMAAN Bharat etc
Principles for applying behavioral insights to public policy Principle 1 : leverage default rules – choose the right default value. Eg. Make the default as ‘opt-in’ for welfare
programs like insurance, retirement savings, organ donation etc
o Potential use : ‘opt-out’ could be made default option to be chosen for availing subsidy to nudge people
towards display of altruism
Principle 2 : make it easy to choose – keep options few and easy to comprehend
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o Potential use : use tech to make things simple to understand, cut through layers of processes and target
benefit to actual beneficiary
Principle 3 : emphasize social and cultural norms – emphasize the number of people following the good behavior;
clarify the insignificant role of detractors. Eg. National Corporate Social Responsibility Awards by MCA
Principle 4 : disclose outcomes – disclose realized benefits of good behavior
o Potential use : to improve tax compliance, productivity etc by showing people their benefits
Principle 5 : reinforce repeatedly – remind people of past good behavior. Eg. MARD (Men Against Rape and
Discrimination) campaign
o Potential use : monetary incentives to good Samaritans who help road accident victims
Principle 6 : leverage loss aversion – design incentives to reward good behavior with threat to revoke award if
behavior fails to match expectations
o Potential use : nudge policy makers towards taking seemingly harsh but necessary policy decisions even
though these may not garner enough support from people
Principle 7 : make msgs mimic mental models – catchy slogans, association with places like Panipat above etc
o Potential use : to prevent rise of online trolling, drug abuse among youth, gender based violence etc
Transforming gender equations : from BBBP to BADLAV (Beti Aapki Dhan Lakshmi Aur Vijay
Lakshmi)
:|| = societies when women are respected prosper
Launch a new campaign called BADLAV to represent the change towards gender equality by drawing on the imagery of
the forms of Goddess Lakshmi that symbolizes wealth and victory
Other examples from Indian mythology can be used. For example – Ardhanareshwar form of Shiva captures the
equality between men and women; Maitreyi rejected half her husband’s wealth in favour of spiritual knowledge etc
Using behavioral principles for BADLAV
o Make it easy – for women to report incidences of harassment and discrimination, to get govt docs, to open
bank accounts etc
o Emphasize social norms – showing how prevalent gender based violence is runs the risk of normalizing it;
instead emphasizing on how many people are not perpetrators can be helpful in shaping correct norms;
advertise women village leaders as role models
o Disclose outcomes – publish gender rankings like number of women in legislatures, in bureaucracy, gender pay
gap etc
o Reinforce repeatedly – multiple visually descriptive posters against sexual harassment at workplace in all
corridors of workplaces
o Leverage loss aversion – application fee waiver for women applicants in competitive exams
o Make messages match mental models – companies can offer flexibility at workplace for women
From Swachh and Ayushmaan Bharat to Sundar Bharat Way forward for Swachh Bharat Mission by leveraging behavioral economics
o Studies find that if people pre-commit to doing something, they are more likely to do it – swacchagrahis can
use this to make people pre-commit to sanitation goals. This can be reinforced by swacchagrahis helping
people assess themselves periodically on achievement of their sanitation goals
o People are more likely to sustain new behavior if told about tangible benefits – swacchagrahis can disseminate
info on incidence of sanitation-related illnesses in the community and how this rate improved after adoption
of sanitation practices. This activity can also be performed for individual households
Using behavioral principles for a Sundar Bharat
o Leverage default rules – giving individuals default flu-shot appointment time can increase influenze vaccination
rates; smart insurance plan defaults as mentioned in US savings plan case above
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o Make it easy to choose – behavioral alterations in schools and college menus like giving interesting names to
healthy options, placing these near the cash counter etc; restricting health plans to those which are relevant
for the particular individual
o Emphasize social norms – adolescents often over-estimate how much alcohol and drugs their peers take and
hence perceive over-consumption as a desirable attribute. Campaigns focusing on number of people who
don’t drink or take drugs can be effective here; presenting info on how many people in the neighbourhood
have chosen to take up health insurance plan etc
o Disclose outcomes – disclosing to people the realized benefits of hand-washing, family planning etc
o Reinforce repeatedly – sending msgs to patients containing info on the day and time of their next vaccination
can boost uptake of vaccines; for people with critical diseases not taking medicines on time, text msgs or pill
bottles that light up if not opened at the right time, appreciation certificate for following prescription
certificate etc can increase drug adherence
o Leverage loss aversion – people find it difficult to achieve self-goals like weight loss. Voluntarily making such
people invest money someplace that will be returned to them if they achieve their goals but forfeited
otherwise, can help them achieve their goals
o Make message match mental models – message boards emphasizing gains from smoke cessation or
breastfeeding
Think about the Subsidy For campaigns like ‘Give it Up’ for giving up LPG subsidy
Behavioral economics tells us that even if people are truly interested in giving up their subsidies, they need to be
moved to action with a gentle nudge. For this, the default choice given to individuals matters a lot as people have a
strong tendency to go with status quo
People act positively when they see others act positively and particularly when they relate to such individuals. For now,
there is a ‘Scroll of Honor’ feature listing people who have given up their LPG subsidies, but the process to access these
names is cumbersome. Hence, people would not know if their neighbours or friends have given up their subsidies or
not
Using behavioral principles for ‘think about the subsidy’
o Leverage default rules – default option can be modified so that households above a certain income threshold
have to opt in to continue their subsidies with the default option being ‘opt-out’
o Make it easy to choose – pre-populating fields of subsidy giving up forms can make it more likely that people
will submit such applications; mobile phones and apps can make impulsive giving up easier
o Emphasize social norms – to discourage middle class and rich from enrolling for subsidies, govt could publish
advertisements stating that the scheme is intended to benefit the poor X% of population that earns less than
Rs. Y per month; advertisements could suggest that by giving up subsidy, rich are contributing to eradicating
poverty; increasing visibility of donors (displaying photos of persons from the same locality who gave up
subsidies) can encourage giving up of subsidies
o Disclose outcome – immediately showing givers the effect of them giving up; for eg. Givers could view personal
photos of the people benefitting from the subsidy
o Reinforce repeatedly – during tax filing, people could be shown an extra field in the form about giving up
subsidy for the cause of the nation
o Leverage loss aversion – loss aversion can be used to explain why a large number of people have not given up
their subsidies
o Match msg to mental model – can be used to reduce effective costs of subsidy
Jan Dhan Yojana Using behavioral principles to enhance impact of Jan Dhan Yojana
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o Leverage default rules – make auto enrolment into a savings plan the default option while offering people the
option to opt out
o Make it easy to choose – products for the poor must not confound with too many options
o Emphasize social norms – info campaigns highlighting number of people who use their bank accounts in the
local village; send out sms to every person at the end of every month highlighting number of transactions by
this person compared with average transactions by people in the village; holders of dormant accounts may be
periodically reminded of the number of people in their neighbourhood who actively use their accounts
o Disclose outcomes – showing people the savings they have done by opening the bank account
o Reinforce repeatedly – by simply asking the people whether they plan to save next month, the intention to
save can be reinforced
o Leverage loss aversion – a good time to get people to save more is when salary increases. At such times,
people are less likely to consider increased savings as a loss than at other times of the year
o Make msgs match mental models – money set aside for a specific purpose like education is unlikely to be spent
fast. Thus people should be asked to choose their own names such as ‘home savings plan’ or ‘education
savings plan’ etc
Improving tax compliance Plato : ‘what is honoured in a country is cultivated there’
Behavioral insights need to be employed to modify the social norm from ‘evading taxes is acceptable’ to ‘paying taxes
honestly is honourable’. For eg. Interim Budget speech 2019 publicly and explicitly thanks tax payers
Tax evasion is driven significantly by tax morale i.e. the intrinsic motivation of taxpayers in a country to pay taxes. Tax
morale is driven by 2 perceptive factors
o Vertical fairness – whether what I pay in taxes is commensurate to the benefits I receive as services from the
govt
o Horizontal fairness – differences in taxes paid by various sections of the society; perceptions of horizontal
fairness suffer when the employee class has to pay taxes whereas self employed gets away paying minimal
taxes
Using behavioral principles to enhance tax compliance
o Leveraging default rules – automatic deduction of tax and directing all or portion of refunds into savings
accounts
o Make it easy to choose – filing of tax forms even for zero payment of tax; remove barriers to filing taxes;
automated tax collection
o Emphasize social norms – tax amnesties might reduce tax compliance if taxpayers perceive amnesties unfair;
on the other hand, providing info on people who pay taxes can encourage tax compliance; highlighting and
recognizing regular and high taxpayers by giving them privileges like fast-lane privileges at highways, airports,
immigration etc. Such steps can help propagate the social norm that paying taxes is honorable
o Disclose outcomes – public shaming of individuals who evade taxes
o Reinforce repeatedly – repeatedly sending fairness driven and normative msgs added to standard reminder
letters
o Leverage loss aversion – tax withholding followed by refunds at the time of tax filing may increase tax
compliance and total taxes paid
o Match msgs to models – reminding taxpayers that public goods can only be provided in return for tax
compliance can boost tax morale; repayment of debt in one’s own life is prescribed as necessary by scriptures
across religions. Given the importance of religion in India, this can be leveraged to reduce tax evasion and
willful default
Measures to be taken to leverage behavioral principles Set up a behavioral economics unit in NITI Aayog – only experts in behavioral economics must be appointed to it
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Every program must go through a behavioral economics audit before its implementation
Work with state govts to inform them about potential benefits of behavioral economics
Ch 3 : Nourishing Dwarfs to become giants: reorienting policies for MSME growth Working-age population to grow at 97 lakh per year in coming decade and 42 lakh per year in the next one. If Labour
Force Participation Rate (LFPR) is assumed to remain at 60%, 55-60 lakh new jobs will have to be created annually over
the next decade
Bane of dwarfism and its impact on jobs and productivity Dwarf firms = small firms that never grow beyond their small size, i.e. firms that are both small (<100 workers) and
older than 10 years; these dominate the Indian economy and hold back job creation and productivity
o 50% of total number of firms but employ only 13% of total workers
o contribute only 8% to productivity
o share in Net Value Added (NVA) is a miniscule 7.6%
Young large firms = firms that have >100 workers and are <10 years old; these are able to grow over time to become
large are the biggest contributors to employment and productivity in the economy
o 5.5% of total firms but employ >21.2% of total workers
o account for 90% of productivity
o share in NVA is 37.2%
Old large firms = firms with >100 workers and are >10years old
o 10% of total firms but employ 50% of total workers
o Contribute 50% to NVA
Infant firms (different from dwarf firms) are those that have potential to grow and become giants rapidly
Findings mentioned above dispel the notion that small firms generate the most employment – small firms may
generate a higher number of new jobs but they destroy as many jobs as well, leading to lower net levels of jobs
As compared to small firms, it is the young firms that contribute significantly to employment and value added; firms
<10 years old account for about 30% of employment and 50% of NVA
Why do Dwarfs remain small Our policies protect and foster dwarfs rather than infants
Some of these policies create perverse incentives for firms to remain small. If the firms grow beyond a certain
threshold, they will be unable to obtain said benefits
As economies of scale stem primarily from firm size, these firms are unable to enjoy such benefits and hence remain
unproductive
This lack of productivity and growth inhibits the ability of the dwarfs to create jobs
Role of policy in fostering dwarfism
Impact of labour regulation
Legislations such as the Industrial Disputes Act, 1947 mandate companies to get permission from the govt before
retrenchment of employees. This restriction is however applicable only to firms with >100 employees. Such labour
legislation creates perverse incentives for firms to remain small
States with rigid labour laws are unable to create enough employment, cannot attract adequate capital into their
states and their wages are lower as their productivity is lower
Labour law reforms in Rajasthan have proved fruitful
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Impact of small scale reservation
Policies such as priority sector lending at subsidized interest rates to MSMEs, Purchase Preference policy, Price
Preference policy, Credit Guarantee Fund scheme, benefits in tendering, GST composition scheme etc promote small
firms irrespective of their age
Small Scale Industries reservation policy – certain products reserved for production by MSMEs. It has been noticed that
‘dwarfs’ are more likely to produce reserved products whereas larger firms and younger firms are more likely to
produce un-reserved products
Way forward Our policies must focus on enabling MSMEs to grow by unshackling them
Incentivize ‘infant’ firms rather than ‘small’ firms – with appropriate grandfathering of existing incentives, they need
to be shifted away from dwarfs to infants. Aadhaar can be used to ensure this. For eg if a promoter starts a new firm,
utilizes benefits for 10 years when the age-based policy is available and then closes the firm to start a new one to avail
the benefits again through the new firm, Aadhaar can alert authorities of this misuse
Reorienting priority sector lending – under MSME’s PSL targets, it is necessary to prioritize ‘start-ups’ and ‘infants’ in
high employment elastic sectors like rubber & plastic products, electrical and optical equipment, transport equipment
etc. This would enhance direct credit flow to sectors that can create the most jobs in the economy
Sunset clause for incentives – every incentive for fostering growth should have a sunset clause of say 5-7 years after
which the firm should be able to sustain itself
Focus on service sectors with high spillover effects such as tourism
Ch 4 : Data ‘of the people, by the people, for the people’ Increasing marginal benefits of data
o Evidence based policy making possible
o Accountability in public services
o Better targeting of welfare programs
o Nationally integrated markets
o Product innovation
Why must data be treated as a public good? Data is non-rivalrous i.e. consumption by one individual does not reduce the quantum for others
Data can be made excludable – i.e. possible to exclude people from accessing data by say, erecting pay-walls
There are some kinds of data, like those gathered by the govt on issues of social interest, that should be democratized
in the interest of social welfare
Data is generated by the people, of the people and should be used for the people
Social sectors of the economy, such as healthcare and education, have lagged the commercial sectors in exploiting
data. This is because the private sector cannot internalize the social benefits of data in these sectors (for them only the
economic benefits can be internalized, which are few). Hence the market for data in these sectors has not developed
so far
To ensure that socially optimum amount of data is harvested and used, the govt needs to step in, either by providing
the data itself or correcting the incentive structure faced by the private sector. For eg. Govt did exactly this by creating
e-NAM
Anonymized data = data that is not linked to a specific individual but is still available at an individual level of granularity
Characteristics that data must possess for synergistic benefits to accrue Whole is larger than the sum of its parts – data is more useful when it is married with other data. For eg. Jan Dhan data
and MGNREGA data can be linked and used together. MNREGA as a real-time indicator of rural distress + credit
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scoring done using transactions data of Jan Dhan accounts can be used to provide credit in districts that are
experiencing distress
Data needs to cover a critical mass of individuals/firms so that comparisons and correlations can be assessed to
generate useful policy insights. For eg. To gather price data across the country, a very large number of producers and
buyers need to log their transactions on platforms in real-time. In such cases, inducing numerous agents to log
transactions regularly is a task that requires significant initial investment
Data must have a long enough time-series so that dynamic effects can be studied and employed for policymaking
Types of data on citizens that govt can harness for welfare of citizens Administrative data like birth and death records, crime reports, land records, vehicle registrations, tax records,
movement of people across national borders etc
Survey data for statistical purposes like NSSO surveys, indicators on unemployment, education, nutrition etc
Institutional data - data held by public institutions about the people; for eg. Data with district hospitals, govt schools,
govt univs etc
Transactions data – individual’s transactions like those on UPI, BHIM etc
Challenges in utilizing data for public welfare in India Fixed costs involved in generating such rich and massive data is significant. Private sector may not have appetite or
capital for this
Even if the private sector were to put such rich data together, it would result in a monopoly that would reduce citizen
welfare and also violate the principle of ‘data by citizens, for citizens’
Currently, data collection in India is highly decentralized. For each indicator of social welfare, responsibility to gather
data lies with the corresponding union ministry and its state counterparts. This creates silos of data not linked with
each other
A lot of data has not been digitized yet – it lies in paper-based form in various govt offices
Lack of a common identifier to analyze data for entities like villages, schools, hospitals etc. For example, each village is
characterized by a pin code assigned to it by the Dept of Post, a separate village code assigned to it by the Dept of
Rural Development and yet another code in the form of a ‘health block’ assigned by Health Ministry. This makes it
difficult to consolidate info for a particular village in one database
o An initiative to address this issue is the Local Govt Directory, an app by Panchayati Raj Ministry which maps
each land region entity to a local Govt body and assigns location codes compliant with Census ‘11
o The Ministry has also published this data for all to use
For many schemes data is available only at the district or the state levels and not at village level
Data privacy and safety concerns
Case study 1: Open Govt Data platform of Union govt Allows citizens to access a range of govt data in machine-readable form in one place
Portal allows Union Ministries/Depts to publish datasets, documents, services tools and apps
Citizen engagement tools like feedback forms, data visualizations, APIs etc also included
Benefits
o Gets people involved in solving problems – throwing open govt data to public multiplies number of people
analyzing and deriving insights from the data => usability of data itself increases
o Smart India Hackathon by MHRD to crowd-source solutions to improve governance using relevant data
Case study 2: Benefits of opening up “Transport for London’s” data Transport for London (TfL) releases significant amount of data (like timetables, service status, disruption etc) in an
open format for anyone to use for free
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Benefits – Support travel apps + Real-time alerts to save time, reduce uncertainty and lower info costs + supporting
growth in the tech economy and employment opportunities + increasing the use of public transport
Future – TfL is now developing a tool that will analyse data feeds from Tube trains to provide maintenance staff with
live info about the condition of the train => maintenance and planning would become more efficient and prevent
costly faults leading to service delays
Case study 3: Samagra Vedika initiative of Telangana govt Around 25 existing govt data-sets linked using a common identifier – the name and address of an individual
7 categories of info were linked in this aggregation exercise – crimes, assets, utilities, subsidies, education, taxes and
identity info
Each individual was then linked to relatives such as spouse, siblings, parents and other associates
Case study 4: NREGAsoft and e-governance in MGNREGA NREGAsoft is a comprehensive e-gov system for the MGNREGA scheme and captures the complete flow of all
MGNREGA work at every level
Makes available docs like muster rolls, registration application register etc
Accessible in a number of languages
Worker management module for worker-related services, fund mgt module to track movement of funds from Central
Ministry all the way to the workers’ pockets, grievance redressal module (accessible even to illiterates through touch-
point kiosk model) etc
Way forward in creating a Data Access Fiduciary Architecture While any ministry should be able to view the complete database, a given ministry can manipulate only those data
fields for which it is responsible
Updating of data should happen in real-time and in such a way that one ministry’s engagement with the database does
not affect other ministries’ access
Public service delivery can benefit from real-time storage of data. While the costs of real-time updating of database
may not always justify its marginal benefits, it is essential to have a high frequency logging of data for certain sectors.
Education is one such sector. If a school does not have a functional toilet for girls, leading girls to remain absent, this
information cannot for even for 6 months to be updated to database and acted upon. Within these 6 months, girls
would have lost almost half an academic year! Such updates must reach concerned officials on a daily or weekly basis.
Database should be secure with no room for tampering. Immutable access logs for all data should be available so that
citizens know who has seen their data and why
All future data should be collected in digital, machine readable format. Added benefits of this are that it ensures that
data is logged exactly as observed, obviates redundancy of data entry and eliminates data entry errors
Existing data needs to be converted to this format – Recently launched Digitize India initiative is an ingenious solution
to this problem
o It crowdsources the data entry effort by presenting volunteering citizens with snippets of scanned docs which
they type into a data entry portal
o Correct entries earn cash rewards for the contributor and recognition as ‘digital contributors’
o Contributors may even earn certificates as ‘Data entry operators’
o The program also features a mobile app so that even citizens without a computer can participate
Data processing – govts at all levels should invest in building their internal capacities to exploit data in real-time,
perform analyses and translate data into meaningful info. MoSPI and MeITY can act as nodal depts. to steer such
efforts at the national level
Govt may consider opening certain kinds of annonynized data to the private sector with all necessary security
safeguards to harness the skills and enthusiasm of data analytics professionals to gain max insights from data
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For citizens to visualize data, govt should initiate scheme dashboards for every major govt scheme with granular data,
all the way to the village level. For eg. Replicate Swachh Bharat Mission dashboard for other schemes. Such
dashboards need to be maintained and updated with data on a real-time basis
Applications of data Govts as beneficiaries – improve targeting in welfare schemes and subsidies by reducing both exclusion and inclusion
errors; improve public service delivery etc
Private sector firms as beneficiaries – private sector can reap massive dividends from such data. As a result even the
govt can earn revenue by charging the private sector for data use and thus recover a part of investments made in
gathering data
o For eg using test scores of students, demographic characteristics of each district and other publicly available
data, a private firm may be able to uncover unmet needs in education and cater to these needs by developing
innovative tutoring products tailored to specific needs of specific districts => profits for private sector +
revenue for govt + improved education levels
Citizens as beneficiaries – examples
o DigiLocker – people no longer need to run from pillar to post to get original docs like driving license, Aadhaar,
CBSE results etc
o RBI has announced NBFC-Account Aggregator (NBFC-AA) which allows users to pull all their financial data
together for personal finance mgt, to apply digitally for a new housing loan etc
o National Health Registry – doctor can access the medical history of a patient from this national health register.
This would be especially useful in emergency situations. Anonymized data can be sold to private parties for
analytics, which would enhance prevention of epidemics by offering predictive and prescriptive knowledge
Ch 5 : Ending Matsyanyaya – How to ramp up capacity in the lower judiciary Matsyanyaya = law of the fish / law of the jungle = opposite to rule of law
Despite a huge leap in overall Ease of Doing Business rankings, India continues to lag on the indicator for enforcing
contracts, climbing only 1 rank from 164 to 163 in the latest report
Indian judicial system has over 3.53 crore pending cases with 87.5% of the pending cases in subordinate judiciary
Pendency = time since the date of filing of the case; 64% cases pending for >1 year
Disposal time – 74.7% civil cases and 86.5% criminal cases are disposed within 3 years
Case Clearance Rate (CCR) = ratio of number of cases disposed of in a given year to the number of cases instituted in
that year; CCR has remained below 100% and this means that cases would keep on accumulating; it decreased from
90.5% in 2017 to 88.7% in 2018
Can the legal logjam be cleared? A 100% clearance rate must first be achieved so that there is zero accumulation to the existing pendency – according
to the Survey, to reach 100% CCR, 2279 additional judges would be needed in District and Subordinate courts (this
number is within the sanctioned strength for these courts!!)
Next, the backlog of cases already present in the system must be removed - according to the Survey, to clear all the
backlog in the next 5 years, further 8,152 judges would be needed
High Courts need just 93 additional judges to reach 100% CCR, which is again well within sanctioned HC strength
To clear all backlogs in next 5 years, HCs need a further 361 additional judges
Supreme Court needs just 1 extra judge to reach 100% CCR and just 8 additional judges to clear all backlog in next 5
years. To clear its backlog, SC would need to increase its sanctioned strength by 6
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How should the additional judges be allocated? Data indicates that not only is the backlog of criminal cases about 2.5 times that of civil cases, but criminal cases also
have a lower CRR, which means that the situation for criminal cases is distinctly worsening
This problem is especially acute for criminal original suits such as summons, warrants etc
Thus the additional judges need to specialize in these case types to speed up disposal
Police reforms are also necessary to speed up disposal of cases
Most of the time in the lifecycle of a case is spent in the Lower Court Records – Records and Proceedings stage. Here
cases cannot proceed as the court must first receive the case’s records from the lower court. This inefficiency is a
major factor contributing to delays and backlogs
States like Gujarat and Chattisgarh have clearance rates above 100%. States like MP, Assam, TN also have clearance
rates close to 100%. On the other hand, eastern states like Bihar, Odisha and WB have very low clearance rates. Hence
these states should be given priority in the appointment of additional judges
How to make Indian courts more productive? Increase number of working days – Indian courts close down for significant periods due to vacations. However,
increasing number of working days may improve productivity of SC and HCs but is unlikely to significantly impact lower
courts because these already seem to work as many days as govt offices
Establishment of Indian Courts and Tribunals Services – to focus on administrative aspects of the legal system; to
identify process inefficiencies and advise the judiciary on legal reforms; to implement process re-engineering
Deployment of technology – for eg eCourts Mission Mode Project of Law Ministry which has allowed the creation of
the National Judicial Data Grid
Ch 6 : How does policy uncertainty affect Investment? Taper tantrum in 2013 – following the announcement by the US Federal Reserve of tapering of their policy of
monetary easing investors in emerging markets faced uncertainty about the policies that would be adopted in these
countries to control the impact of this Fed policy change
Researchers have developed an Economic Policy Uncertainty (EPU) index for India by quantifying newspaper coverage
of policy-related economic uncertainty. The index reflects the frequency of articles in leading newspapers containing
the following triple : ‘economy’, ‘uncertainty’ and one or more of policy related words like ‘fiscal policy’, ‘monetary
policy’, ‘PMO’ etc
Decoupling of economic policy uncertainty in India since 2015 Economic policy uncertainty peaked in India in 2011-12 and has since been declining with intermittent increases in
between ; uncertainty moved closely in tandem with global uncertainty till 2014; it started diverging in 2015 and
seems to have been completely decoupled in 2018 => uncertainty has been increasing in US, UK, China etc whereas it
has been falling in India
Increase in uncertainty globally because of US-China trade tensions, Brexit, slower world growth
Turnaround in investment activity in India Economic policy certainty may have helped to foster the turnaround in investment activity
Continued resolution of twin balance sheet problem following implementation of IBC 2016 and recapitalization of
banks helped promote investment
Measure taken to improve ease of doing business, clarity in policy for FDI liberalization etc also helped
Other factors affecting investment Cost of borrowing – negatively associated with investments as they reflect higher input costs
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Prices that producers get for their products – rise in prices are expected to trigger higher investments as businesses
find it profitable to do so. It is observed that investment growth is positively correlated to WPI but negatively to CPI.
This may be because producers would realize price closer to wholesale prices upon selling any product whereas
consumers would have to pay consumer prices and higher prices may dampen the demand
Capacity utilization – positive relationship with investment growth. This is because excess unutilized capacity in the
previous quarter may lower the need for new investment in the current quarter
FDI and FII flows – expected to be negatively related to volatility of exchange rate because the returns realized by
foreign investors are in foreign currency terms. Portfolio investments (short term) are more affected by volatility in
exchange rate as compared to FDI flows
Way forward Top level policymakers must ensure that their policy actions are predictable, provide forward guidance on the stance
of policy, maintain broad consistency in actual policy with the forward guidance and reduce arbitrariness in policy
implementation
To ensure predictability, the horizon over which policies will not change must be mandatorily specified. Examples of
this being done already – FRBM Act, Monetary Policy Framework of RBI etc
Economic Policy Uncertainty Index must be monitored by policymakers regularly. Sub-indices can be created to
measure uncertainties stemming from fiscal policy, tax policy, monetary policy, trade policy and banking policy
The actual implementation of policy occurs at the lower levels, where ambiguity gets created and exacerbates
economic policy uncertainty. To overcome this, govt depts. must be mandated to seek quality certifications
Ch 7 : India’s demography at 2040 – Planning public good provision for 21st century
Demographic trends Total Fertility Rate in India halved from 4.5 in 1984 to 2.3 in 2016 (TFR of 2.1 children per woman is called replacement
level fertility, which is the avg number of children a woman would need to have in order for population to replace
itself)
TFR is now below replacement level fertility in 13 of 22 major states
This means that population growth is set to slow markedly in the next 2 decades along with a significant increase in the
share of working-age population (demographic dividend)
Policy implications of demographic trends to be considered in these areas – provision of health case, old-age care,
school facilities, access to retirement related financial services, public pension funding, income tax revenues, labour
force, retirement age etc
The share of India’s young (0-19 years) population has already started to decline and is projected to drop from 41% in
2011 to 25% by 2041
The share of elderly (60+) population will continue to rise from 8.6% in 2011 to 16% by 2041
India’s demographic dividend is expected to peak around 2041, when the share of working age (20-59) is expected to
be 59%
Working age population – would rise by 96.5 million during 2021-31 and by 41.5 mn during 2031-41
o LFPR is around 53% (80% for males and 25% for females)
Policy implications of ageing Elementary schools – number of school-going children will decline by 18.4% between 2021-41 => number of schools
per capita will rise significantly across India even if no more schools are added
o The time may soon come in many states to consolidate/merge elementary schools in order to keep them
viable
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o Schools within 1-3 km radius of each other can be chosen for this purpose to ensure no significant change in
access
Healthcare facilities – rising population over the next 2 decades will sharply reduce the per capita availability of
hospital beds in India. States with high population growth are also ones with the lowest per capita availability of
hospital beds. Hence there is a straightforward case for expanding medical facilities in these states
o Type of healthcare services will have to adapt towards greater provision of geriatric care
Retirement age – given that life expectancy is likely to continue rising in India, increasing the retirement age for both
men and women could be considered in line with the experience of other countries
o This will be key to the viability of pension systems
o This would also help increase female labour force participation in the older age-groups
Ch 8 : From Swachh Bharat to Sundar Bharat via Swasth Bharat – an analysis of SBM Gandhiji : Sanitation is more important than Independence
SBM adopts a multi-faceted approach including
o Community participation
o Flexibility in choice – by building in a menu of options so that the disadvantaged families can subsequently
upgrade their toilets depending upon their requirements and financial position
o Capacity building – augments institutional capacity to change behavior at the grassroots level
o Instill behavior change
o Broad based engagement – setting up of Swachh Bharat Kosh to encourage Corporate Social Responsibility and
accept contributions from private orgs, individuals etc
o Use of tech
98.9% India covered under SBM; over 9.5 crore toiler built since 2014; since 2014 – 5.6 lakh villages, 2.5 lakh gram
panchayats and 618 districts have been declared ODF
National Annual Rural Sanitation Survey 2018-19 by Independent Verification Agency – 93.1% households had access
to toilets during survey period and 96.5% households that had access to toilets, used them; 90.7% village ODF
Adequate sanitation has played a key role in reducing diarrhea, malaria, still births and low birth weight cases
In 2006, World Bank estimated the economic impacts of inadequate sanitation in India to be to the tune of US$ 53
billion or 6.4% of GDP
Study found that financial savings due to improve sanitation exceeded the financial costs to households by 1.7 times
(2.4 times for poorer households)
SBM has brought about a sea change in the dignity of people, especially women. It acts as a driver for eliminating the
gender disparity through construction of gender-specific latrines in public areas
This would have an indirect positive impact on society by increasing enrolment ratio of girls in schools
SBM is aligned with SDG 6.2 which aims at achieving access to adequate and equitable sanitation and hygiene for all by
2022
Way forward
o Need to maintain a culture of swachhta at public places beyond individual houses, cleaning water bodies,
scientific waste mgt, dealing with plastic menace, controlling air pollution etc
o To sustain the momentum created and behavioural change, a number of actions would have to be taken on a
continuous basis such as motivation of ‘agents of change’ at the ground level, impart training to field agents,
appointment of sanitation ambassadors etc
o Going forward, SBM should focus on achieving 100% disposal of solid and liquid waste
o Cleaning of our rivers should become an integral part of clean India – treatment of industrial effluence, drain
bio-remediation, river surface cleaning, rural sanitation, river front development, afforestation, biodiversity
conservation etc
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o Due to large resource requirements, there is a need to facilitate and sustain innovative financing mechanisms
Ch 9 : Enabling inclusive growth through affordable, reliable and sustainable energy Sun is the soul of all, animate and inanimate – Rig Veda
India has a per capita energy consumption of only about 1/3rd of the global average. Though India accounts for 18% of
world population, it uses only around 6% of world’s primary energy
Share of renewable in total generation in India has increased from 6% in 2014 to 10% in 2018
Adoption rate of electric vehicles (EVs) has been slow, largely due to lack of charging infra and the time taken for
completely charging an EV
In the initial years of economic development, increase in per capita GDP requires a large increase in primary energy per
capita. India cannot become an upper-middle-income country without
o Rapidly raising its share of the global energy consumption commensurate with its share of the global
population
o Ensuring universal access to adequate modern commercial energy at affordable prices
Energy poverty A large proportion of population, especially in rural areas relies on non-commercial biomass such as firewood and dung
cakes for their cooking/heating needs => health concerns due to poor indoor air quality
There is a large gap in energy access between rural and urban areas
There is also a wide variation in the energy access between the households at various economic strata
Access to clean cooking fuel has increased considerably in recent years, especially through schemes such as the
Ujjawala Yojana, DBT for LPG consumers (PAHAL) etc
Energy efficiency Primary energy intensity of India’s GDP has followed a falling trend over the years from 0.0004 toe (tonnes of oil
equivalent) in 1990 to 0.0002 toe in 2017
Steps taken by India towards improving energy efficiency – Energy Conservation Act 2001, creation of Bureau of
Energy Efficiency (BEE), Energy Efficiency Services Ltd (EESL), Perform Achieve Trade scheme (PAT), UJALA, Energy
Conservation Building Code, BEE Eco-Niwas Samhita, BEE Star rating, Agriculture Demand Side Mgt (AgDSM) for
pumping water, Municipal Demand Side Mgt for street lighting, Standards and Labeling Program etc
India’s energy efficiency programs led to savings of about Rs. 53k crore in 2017-18 and reduced 108.28 million tonnes
of CO2 emission
There is scope for huge further savings through energy efficiency in sectors such as Industries and Transport
Sustainability of energy generation India’s Nationally Determined Contribution (NDC) under Paris Agreement states that India will achieve 40% installed
capacity of power from non-fossil fuel sources by 2030
Despite increases in renewable energy generation, almost 60% of India’s installed capacity is in thermal power in which
main component is coal based power plants. This is unlikely to reduce drastically in near future because
o Sudden abandonment of coal based plants without complete utilization of their useful lifetimes would lead to
standing of assets that can have further adverse impact on the banking sector
o Given the intermittency of renewable power supply, unless sufficient technological breakthrough in energy
storage happens, it is unlikely that thermal power can be easily replaced
Thus, there is a need for building capacity for cleaner and more efficient coal technologies
Steps taken by govt to promote renewable energy Budget 2018-19 announced zero import duty on components used in making solar panels
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Govt has also offered various financial incentives for off-grid decentralized renewable energy systems
Progressively declining costs, improved efficiency and reliability have made renewable sources attractive
India’s target is to achieve 175 GW installed renewable capacity by 2022
As viability of renewable energy has improved drastically in recent times, tariff discovery is made through reverse
auctioning process. Solar tariff has come down from Rs. 18/kWh in 2010 to Rs. 2.44 in 2018
Initial target for National Solar Mission up to 2022 was to install 20 GW solar power. This was enhanced to 100 GW in
early 2015. Solar installed capacity has increased around 1000 times from 25 MW in 2011 to 28.18 GW in 2019
Green Energy Corridor– to facilitate smooth integration of increasing share of renewable into national grid
KUSUM scheme for providing financial and water security to farmers and for de-dieselization of farm sector
India has a hydro potential of 145.3 GW of which only 45.4 has been utilized
o High tariffs have been a major obstacle for this
o A new Hydro Policy has been approved which recognizes large hydro projects as ‘renewable’
o Tariff rationalization measures undertaken – providing flexibility to producers to determine tariff
o Increased debt repayment period to 18 years
o Introduced escalating tariff of 2%
o Budgetary support for funding enabling infra and flood moderation on case-to-case basis
Electric vehicles in India In India, transport sector is the 2nd largest contributor to CO2 emissions after industrial sector with road transport
accounting for 90% of transport emissions
Given our large import dependence for petroleum products, it is imperative to shift focus to alternative fuels
National Electric Mobility Mission Plan 2020 was set up with objective to achieve sales of 60-70 lakh units of EVs
In 2015, Faster Adoption and Manufacturing of EVs (FAME) was launched. FAME II launched in 2019 with emphasis on
electrification of public transport with outlay of Rs 10k crore
Way forward
o Studies have found that the market share of EVs increases with increasing availability of charging infra –it
becomes important that adequate charging stations are made available throughout road networks
o It is important to provide info on public chargers to EV users through online maps, physical signage etc
o Development of battery tech that can function efficiently in high temperature conditions in India
o New policies should focus not only on reducing upfront costs of owning an EV but also reduce overall lifetime
costs
o India can emerge as the hub of manufacturing of EVs generating employment and growth opportunities – thus
becoming the Detroit of EVs in the future
Ch 10 : Efficient use of tech for welfare schemes – case of MGNREGS Objective of MGNREGA – enhance livelihood security of poor households in rural areas
Issues with MGNREGA – corruption, political interference, leakages, delay in wage payments
Use of tech to overcome shortcomings
o PM Jan Dhan Yojana was launched to ensure universal access to banking facilities
o Aadhaar provided a credible identity source for whoever wanted to open a bank account – this also helped in
verifying identity of genuine beneficiaries
o Use of Aadhaar Linked Payments system -> leveraged JAM trinity to provide DBT to beneficiary accounts; this
reduced scope for delays in payments, which provides farmers with necessary liquidity for survival in times of
distress
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o National electronic Fund Mgt System (NeFMS) – to streamline the system of fund flow; Central govt directly
credits wages of MGNREGS workers, on a real-time basis, to a specific bank account opened by state govts. All
Program Officers debit this state-level single account for authorization of payment
o NREGAsoft – local language enabled workflow based e-gov system to capture all activities under MGNREGA at
all levels
o GeoMGNRGA – use space tech to create a database of assets created under MGNREGS using tech
interventions like mobile based photo geo-tagging and GIS based info system
o Increased accountability through various citizen centric mobile apps like Gram Samvaad and JanMnREGA
Other steps taken to improve MGNREGA
o Tweaking wage and material ratio – the 60:40 wage and material ratio mandated at Gram Panchayat level
often led to non-productive assets being created because 60% has to be spent on unskilled wage; to address
this issue, the 60:40 ratio was allowed at the District level instead of Gram Panchayat level
o Emphasis on individual beneficiary schemes (IBS) like goat shed, dairy sheds, work in PMAY-G, wells, farm
ponds, vermin-compost pits, water soak pits etc have been taken up
o National Resource mgt (NRM) – Mission Water Conservation – systematic development of land to improve its
productivity and harnessing of water through development of watersheds
o Support for drought proofing – provision of additional employment of 50 days in drought affected areas over
and above the 100 days per household
Way forward
o Demand for work under MGNREGS may be used to develop a real-time indicator of distress at the panchayat
level. This is crucial because NSSO surveys are released after a gap of almost 2 years and hence prove
ineffective in providing assistance at the right time
o Expansion of ‘works’ under MGNREGS – the definition of ‘works’ should be regularly reviewed and amended.
For eg, inclusion of desilting of canals and water bodies would enhance storage capacity
o Up-skilling of MGNREGS workers – provide horizontal and vertical mobility to them; convergence of MGNREGS
and DDU-Grameen Kaushalya Yojana and involvement of women SHGs needs to be strengthened
o Expand use of JAM to other welfare schemes based on learning from MGNREGS
o Use of digital infra created for MGNREGS for other micro-benefits like micro-insurance, pensions etc
Ch 11 : Redesigning a Minimum Wage system in India for inclusive growth A well designed minimum wage system can reduce inequalities in incomes, bridge gender gaps in wages and alleviate
poverty
But for minimum wage system to play a meaningful role in aligning protection with promotion of sustainable growth, it
must be properly designed, its goals clarified and its enforcement made effective
Minimum wage system in India Enactment of Minimum Wages Act 1948 – protects both regular and casual workers
Minimum wages are set by both Central and State govts for employees in selected ‘scheduled’ employment
Min wages have been set for different categories of workers according to skill level, location and occupations
Tripartite advisory boards comprising of employers, employees and independent persons to advice govt on fixing min
wages
Argument against National level min wage – wide disparities in economic development and large variationsin cost of
living between regions and states
Min wage system in India has expanded and become very complex. Issues related to it
o Issues related to its coverage – 429 scheduled employments and 1915 scheduled job categories
o Lack of uniform criteria for fixing the min wage rate
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o Min Wages Act does not cover all wage workers – 1/3rd of wage workers not protected by this law
o Gender discrimination – Min Wages Act is not discriminatory; but min wages for different occupations shows
persistence of systematic bias. For eg women dominate in domestic workers category whereas men dominate
in security guards category. The min wage rate for domestic workers within a state is consistently lower than
that for security guards
o Proliferation of min wage rates and scheduled employments is a strong deterrent for compliance – this also
triggers migration of industries to lower wage regions/states
Way forward Minimum wages need to be set at an appropriate level so as to ensure compliance
Relatively simple systems are more effective. Complex systems show a lack of coherence about wage levels and wages
being set in arbitrary fashion. Rationalization of min wages as proposed under the Code on Wages Bill needs to be
supported
Central govt should notify a ‘national floor min wage’. Thereafter states can fix the min wages which shall not be less
than the floor wage
Criteria for setting min wage should be based only on 2 factors – skill category and geographical region
Min wages should be expanded to all workers in all sectors and cover both organized and unorganized sectors
A mechanism should be developed to adjust min wages regularly and frequently
Use tech to make info available in simple and clear manner
Make grievance redressal systems accessible