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GS Paper: GS3-02.Inclusive growth and issues therein

  • India now ahead of China in financial inclusion metrics: SBI report

    India is now ahead of China in financial inclusion metrics, with mobile and Internet banking transactions rising to 13,615 per 1,000 adults in 2020 from 183 in 2015.

    What does one mean by Financial Inclusion?

    • Financial inclusion is defined as the availability and equality of opportunities to access financial services.
    • It refers to a process by which individuals and businesses can access appropriate, affordable, and timely financial products and services.
    • These include banking, loan, equity and insurance products etc.

    Key highlights of the Report

    • Boosted by PM Jan-Dhan Yojana, the number of bank branches per 100,000 adults in India rose to 14.7 in 2020 from 13.6 in 2015.
    • It is higher than Germany, China and South Africa.
    • Data shows that states with higher Jan-Dhan accounts balances have seen a perceptible decline in crime.

    How did India achieve financial inclusion?

    • Financial inclusion policies have a multiplier effect on economic growth, reducing poverty and income inequality, while also being conducive for financial stability.
    • India has stolen a march in financial inclusion with the initiation of PMJDY accounts since 2014.
    • It was enabled by a robust digital infrastructure and also careful recalibration of bank branches and thereby using the BC model judiciously.
    • Such financial inclusion has also been enabled by use of digital payments.

    What is the BC Model?

    • The report highlighted that the Banking Correspondent (BC) model in India is enabled to provide a defined range of banking services at low cost.
    • The new branch authorisation policy of 2017 –recognises BCs that provide banking services for a minimum of 4-hours per day and for at least 5-days a week as banking outlets.
    • The BCs are enabled to provide a defined range of banking services at low cost and hence are instrumental in promoting financial inclusion.
    • This has progressively done away the need to set up brick and mortar branches.

     

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  • Principles of Responsible Banking (PRBs)

    Global banks are pledging to report annually on the carbon emissions linked to the projects they lend to in an extension to the Principles for Responsible Banking (PRBs).

    What are PRBs?

    • The PRBs are a unique framework for ensuring that signatory banks’ strategy and practice align with the vision society has set out for its future in the SDGs and the Paris Climate Agreement.
    • It was created in 2019 through a partnership between founding banks and the United Nations.
    • The framework consists of 6 Principles designed to bring purpose, vision and ambition to sustainable finance.
    • Signatory banks commit to embedding these 6 principles across all business areas, at the strategic, portfolio and transactional levels:

    Note: India’s YES BANK Limited is the only Indian signatory to this framework.

    Significance of the PRBs

    • Banks can contribute to solving the climate crisis from two angles: their lending and their investments.
    • Many bank policies concentrate their investments on securities that were focused on sustainability.

    Issues with PRB

    • Being a signatory to the PRBs is a limited commitment.
    • Signatories have four years to comply with the principles.
    • Even then, everything is voluntary and non-binding, so signatories are not penalized or even named and shamed for failing to live up to the principles.

    Way forward

    • When signatories to the PRBs are lending money, they are supposed to carry out environmental impact assessments and to measure the greenhouse gas emissions of projects.
    • This is not a minor issue considering that such work is beyond the traditional competencies of banks and will significantly affect their operational costs.
    • Signatories are also supposed to ensure that loans go to projects that are carbon neutral.

     

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  • Farmer suicide

    The number of agricultural labourers who died by suicide in 2020 was 18% higher than the previous year, according to the National Crime Records Bureau (NCRB) report.

    Farmers suicide in 2020

    • In 2020, 5,098 of these agricultural labourers died by suicide, an 18% rise from the 4,324 who died last year.
    • Overall, 10,677 people engaged in the farm sector died by suicide in 2020, slightly higher than the 10,281 who died in 2019.
    • They made up 7% of all suicides in the country.
    • Most of these deaths were among those whose primary work and main source of income comes from labour activities in agriculture or horticulture.
    • However, among farmers who cultivate their own land, with or without the help of other workers, the number of suicides dropped 3.7% from 5,129 to 4,940.
    • Among tenant farmers who cultivate leased land, there was a 23% drop in suicides from 828 to 639.

    State-wise data

    • The worst among States continues to be Maharashtra, with 4,006 suicides in the farm sector, including a 15% increase in farm worker suicides.
    • Other States with a poor record include Karnataka (2016), Andhra Pradesh (889) and Madhya Pradesh (735).
    • Tamil Nadu also bucked the national trend; although the total number of farm suicides in the State was slightly higher.

    Why more suicides despite a boom?

    • The farm sector was one of the few bright spots in the Indian economy since a year.
    • It recorded growth on the back of a healthy monsoon and the continuation of agricultural activities during a lockdown that crippled other sectors.
    • Hence, suicides among landowning farmers dropped slightly during the pandemic year.
    • Landless agricultural labourers who did not benefit from income support schemes such as PM Kisan may have faced higher levels of distress during the pandemic.

    General causes of farmers suicides in India

    Suicide victims are motivated by more than one cause however the primer reason is the inability to repay loans.

    • Debt trap: Major causes reportedly are bankruptcy/indebtedness, problems in the families, crop failure, illness and alcohol/substance abuse.
    • Lack of credit: Low access to credit, irrigation and technology worsens their ability to make a comfortable living.
    • Responsibility burden: In other words, debt to stress and family responsibilities as reasons were significantly higher than fertilizers and crop failure.
    • Disguised unemployment: This remains high. Fragmentation of land holdings has left far too many farmers with farms that are too small to be remunerative.
    • Mental health: One of the major causes behind suicidal intent is depression. Farmers are often subjected to fear of boycott due to societal pressures.

     

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    Back2Basics: National Crime Records Bureau (NCRB)

    • The NCRB is an Indian government agency responsible for collecting and analysing crime data as defined by the Indian Penal Code (IPC) and Special and Local Laws (SLL).
    • It is headquartered in New Delhi and is part of the Ministry of Home Affairs (MHA).
    • It was set-up in 1986 to function as a repository of information on crime and criminals so as to assist the investigators in linking crime to the perpetrators.
    • It was set up based on the recommendation of the Task force, 1985 and National Police Commission, 197.
    • It merged the Directorate of Coordination and Police Computer (DCPC), Inter State Criminals Data Branch of CBI and Central Finger Print Bureau of CBI.

    Also read:

    [Burning Issue] Farmers’ suicide in India

     

  • APVAX Initiative

    The Government of India has applied for loans from the Asian Development Bank (ADB) and the Asian Infrastructure Investment Bank (AIIB) to procure as many as 667 million doses of COVID-19 vaccines under the APVAX initiative.

    Try this question from CSP 2019

    Q.With reference to Asian Infrastructure Investment Bank (AIIB), consider the following statements:

    1. AIIB has more than 80 member nations.
    2. India is the largest shareholder in AIIB.
    3. AIIB does not have any members from outside Asia.

    Which of the statements given above is/are correct?

    (a) 1 only

    (b) 2 and 3 only

    (c) 1 and 3 only

    (d) 1, 2 and 3

     

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    APVAX Initiative

    • The ADB is expected to lend $1.5 billion and the AIIB around $500 million for the vaccine purchase by India.
    • It which has been made under the ADB’s Asia Pacific Vaccine Access Facility (APVAX) initiative.
    • Launched in December 2020, APVAX offers “rapid and equitable support to its developing member countries as they procure and deliver effective and safe COVID-19 vaccines”.
    • The Beijing-headquartered AIIB will co-finance the vaccine procurement.

    About Asian Development Bank (ADB)

    • The ADB is a regional development bank established on 19 December 1966.
    • It is headquartered in the Ortigas Center located in the city of Mandaluyong, Metro Manila, Philippines.
    • From 31 members at its establishment, ADB now has 68 members.
    • The ADB was modelled closely on the World Bank, and has a similar weighted voting system where votes are distributed in proportion with members’ capital subscriptions.
    • ADB is an official United Nations Observer.
    • As of 31 December 2020, Japan and the UN each holds the largest proportion of shares at 15.571%.
    • China holds 6.429%, India holds 6.317%, and Australia holds 5.773%.

    Asian Infrastructure Investment Bank (AIIB)

    • The AIIB is a multilateral development bank that aims to improve economic and social outcomes in Asia.
    • The bank was proposed by China in 2013 and the initiative was launched at a ceremony in Beijing in October 2014.
    • The bank currently has 103 members, including 16 prospective members from around the world.
    • The starting capital of the bank was US$100 billion, equivalent to 2⁄3 of the capital of the Asian Development Bank and about half that of the World Bank.
    • It received the highest credit ratings from the three biggest rating agencies in the world, and is seen as a potential rival to the World Bank and IMF.

    AIIB and India

    • So far, the AIIB has approved loans for 28 projects in India amounting to $6.7 billion, more than for any other member of the multilateral bank.
    • India is the second-largest shareholder after China in the bank, which does not count the U.S. and Japan among its members.

     

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  • What is a Small Finance Bank?

    The Reserve Bank of India has issued a small finance bank (SFB) license to a consortium of fintech companies BharatPe and Centrum Financial Services Ltd.

    What is a SFB?

    • Small finance banks (SFBs) are a type of niche banks in India.
    • They can be promoted either by individuals, corporate, trusts or societies.
    • They are governed by the provisions of Reserve Bank of India Act, 1934, Banking Regulation Act, 1949 and other relevant statutes.
    • They are established as public limited companies in the private sector under the Companies Act, 2013.
    • Banks with a SFB license can provide basic banking service of acceptance of deposits and lending.

    Objectives of setting-up an SFB

    • To provide financial inclusion to sections of the economy not being served by other banks, such as small business units, small and marginal farmers, micro and small industries and unorganized sector entities

    Key features of SFBs

    • Existing non-banking financial companies (NBFC), microfinance institutions (MFI) and local area banks (LAB) can apply to become small finance banks.
    • The banks will not be restricted to any region.
    • 75% of its net credits should be in priority sector lending and 50% of the loans in its portfolio must in ₹25 lakh.
    • The firms must have a capital of at least ₹200 crore.
    • The promoters should have 10 years’ experience in banking and finance.
    • Foreign shareholding will be allowed in these banks as per the rules for FDI in private banks in India.

    Back2Basics: Small Payments Bank Vs. Payment Bank

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  • Economics Nobel for Natural Experiments

    The 2021 Nobel Prize in Economic Sciences was awarded to three US-based economists.

    Do you know?

    The Nobel Prize is officially called as Sveriges Riksbank Prize!

    Who are the awardees?

    • Nobel Committee awarded half the Prize to David Card for his “empirical contributions to labour economics”
    • Other half to Guido Imbens and Joshua Angrist “for their methodological contributions to the analysis of causal relationships”

    What makes this year’s award special?

    • This is the first time the economic prize has been divided in this fashion with one half going to one awardee and other half divided across two awardees.
    • In the past, prize money was divided equally between the awardees even if the prize was for different topics as is the case this time around.
    • It may appear that the Nobel Prize has been given for two different contributions, but there is a common theme: “natural experiments.”

    What are Natural Experiments?

    • Economists are often interested in causal questions such as the impact of education on incomes, impact of COVID-19 on poverty and so on.
    • They are also interested is understanding the direction of causality.
    • Economists have used two kinds of experiments to study these causality and direction of causality questions: random experiments and natural experiments.

    (I) Random experiments

    • Under randomized experiments, the researchers allocate say medicines to a treatment group and compare the effect of the medicine with the control group which is not given the medicine.
    • In 2019, the Nobel Committee gave awards to three scholars for their contribution to the field of randomized experiments.
    • However, one cannot randomize experiments to study issues such as why certain people and regions are more unequal or have fewer educational opportunities and so on.

    (II) Natural experiments

    • In natural experiments, economists study a policy change or a historical event and try to determine the cause and effect relationship to explain these developments.
    • The trio used such natural experiments to make some landmark contributions to economic development.
    • Natural experiments are more difficult for two reasons. The first is to identify what will serve as a natural experiment.
    • Second, in a random experiment, the researcher knows and controls the treatment and control groups which allows them to study the cause and effect of medicine.
    • But in natural experiments, such clear differentiation is not possible because people choose their groups on their own and even move between the two groups.
    • Despite the limitations, the researchers could use the natural setting to answer some big policy questions.

    Natural experiments conducted by David Card

    • One question of interest for policymakers is to understand the impact of higher minimum wages on employment.
    • Earlier studies showed that increasing minimum wages leads to lower unemployment.
    • Economists were also not sure of the direction of causation between minimum wages and employment.
    • Say a slowdown in the economy leads to higher unemployment amid lower income groups.
    • This could lead to lower income groups demanding higher minimum wages. In such a case, it is higher unemployment which leads higher minimum wages.

    Contribution of Angrist and Imbens

    • Angrist and Imbens showed how natural experiments can be used to identify cause and effect precisely.
    • We have discussed above how natural experiments make it difficult to separate control and treatment groups. This makes it difficult to establish causal relations.
    • In the 1990s, the duo developed a methodology – Local Average Treatment Effect (or LATE) – which uses a two-step process to help grapple with these problems of natural experiments.
    • Say, one is interested in finding the impact of an additional year of schooling on the incomes of people.
    • By using the LATE approach, they showed that effect on income of an additional year of education is around 9%.
    • While it may not be possible to determine individuals in the group, one can estimate the size of the impact.

    What is the importance of the award today?

    • Earlier it was difficult to identify natural experiments and even if one identified them, it was difficult to generate data from these experiments.
    • With increased digitalization and dissemination of archival records, it has not just become easier to identify natural experiments but also get data.
    • Economists have been using natural experiments to help us understand the impact of past policies.
    • As the 2020 pandemic struck, economists used the natural experiments approach extensively to analyse how previous pandemics impacted different regions and tried to draw policy lessons.

    India context

    • The methodology date back to the early and mid-90s and they have already had a tremendous influence on the research undertaken in several developing countries such as India.
    • For instance, in India, too, it is commonly held that higher minimum wages will be counterproductive for workers.
    • It is noteworthy that last year, in the wake of the Covid-induced lockdowns, several states, including UP, had summarily suspended several labour laws.
    • This included the ones regulating minimum wages, arguing that such a move will boost employment.
    • The main learning is that minimum wages can be increased in India without worrying about reducing employment.

     

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  • Seeding a data revolution in Indian Agriculture

    In June this year, two significant documents relating to the Indian agriculture sector were released.

    What are the reports about?

    • The first is a consultation paper on the India Digital Ecosystem of Agriculture (IDEA) and the second on Indian Agriculture: Ripe for Disruption from a private organisation, Bain and Company.
    • Through their work, these reports have depicted the agriculture reforms announced by the union government as a game-changer in the agriculture sector.

    Challenges highlighted

    The major challenges of the agriculture sector are:

    1. Food Sufficiency but Nutrition Deficiency
    2. High import of edible oil and oilseeds
    3. Yield plateaus
    4. Degrading soil, Water stress
    5. Inadequate market infra/linkages
    6. Unpredictable, volatile prices
    7. Post-harvest losses, wastages
    8. Lack of crop planning due to information asymmetry

    Key takeaway: Way for doubling farmers income

    • These reports in short argues that benefiting from the huge investments into the agri-ecosystem, doubling farmers’ income targets can be achieved in near future.
    • The Indian agriculture sector in future will encompass farm to fork and pave the way for a single national market with a national platform with better connection between producer and consumers.

    The forecast

    • The Bain report is a data-based prediction on agri-business scenarios, anchored to the agricultural set-up at present and predicting its future trajectories in another 20 years.
    • It includes targeting the production of alternative proteins, and food cell-based food/ingredients and initiating ocean farming, etc.
    • The report has a ‘today forward– future back approach’ and predicts a drastic investment opportunity development by 2025.
    • The agriculture sector (currently worth $370 billion), is estimated to receive an additional $35 billion investment.

    The two enabling conditions for such investment opportunities are:

    1. Changes in the regulatory framework, especially recent changes in the Farm Acts and
    2. Digital disruption

    The IDEA of integration

    • Digital disruption: The blueprint of “digital agriculture” is similar to the digital disruption mentioned in the Bain report.
    • Integration: Eventually, the farmer and the improvement of farmers’ livelihood is the aim of the IDEA concept and it is proposed to happen through tight integration of agri-tech innovation and the agriculture industry.
    • Enabling conditions: To be precise, the IDEA concept profounds the creation of second enabling conditions (which is described in the Bain report).
    • Openness of data: The IDEA principles explicitly talk about openness of data, which means open to businesses and farmers, indicating the kind of integration it aims at.
    • Value-added innovative services: by agri-tech industries and start-ups are an integral part of the IDEA architecture.
    • Data architecture: The services listed in the document (to be available on the platform) are equally important data for farmers and businesses.

    A thread of digital disruption

    • The IT industry has opposition to IDEA mainly due to the ethics of creating a Unique Farmer ID based on one’s Aadhaar number and also the potential for data misuse.
    • Beyond the news coverage about the prospects of achieving the goal of Doubling Farmers Income on which the present government has almost lost its hope.

    Issues with these reports

    • The Bain report has not been widely discussed — at least in the public domain.
    • The assumptions used by authors especially for its ‘future back approach’, need more or less focusing on widespread food production in controlled environments.
    • The emission, energy, and other resource footprints and sustainability issues around these techniques are not adequately studied.

    Yet these reports are important

    • The report has convincingly demonstrated the business opportunity available in supply chains between farm to APMC mandi and mandi to the customer.
    • This can be realised with the support of digital disruption and the latest agriculture reforms.
    • Both these reports heavily rely on digital disruption to improve farmers’ livelihoods, without discussing how much farmers will be prepared to benefit from the emerging business.

    An unconvincing ‘how’

    • Digital divide: The fact is that a majority of small and marginal farmers are not technology-savvy.
    • No capacity building: That most of them are under-educated for capacity building is ignored amidst these ambitious developments.
    • Unrealistic assumptions: The Bain report relies on the general assumption that more investments into the agriculture sector will benefit farmers; ‘but how’ has not been convincingly answered.
    • Overemphasis on technology: Similarly, how the technology fix will help resolve all the issues of Indian agriculture listed at the beginning of the report is unclear in the IDEA concept.
    • Reluctance by farmers: These reports ignore the protest of farmers against the reforms without considering it as a barrier or risk factor resulting in a repealing of these new farm laws.

    Way ahead: Focus on the farmer

    • A data revolution is inevitable in the agriculture sector, given its socio-political complexities.
    • However, we cannot just count on technology fixes and agri-business investments for improving farmers’ livelihoods.
    • There need to be immense efforts to improve the capacities of the farmers in India – at least until the educated young farmers replace the existing under-educated small and medium farmers.
    • This capacity building can be done through a mixed approach through FPOs and other farmers’ associations where technical support is available for farmers.

    Conclusion

    • Considering the size of the agriculture sector of the country this is not going to be an easy task but would need a separate program across the country with considerable investment.

     

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  • What gives rise to the rural debt trap?

    Context

    The AIDIS report published this month reveals that non-institutional sources have a strong presence in the rural credit market, notwithstanding the high costs involved in borrowing from them.

    Highlights of AIDIS

    • The All-India Debt and Investment Surveys (AIDIS) is carried out by the National Statistical Office.
    • AIDIS is among the most important nationally representative data sources on the rural credit market in India.
    • According to the latest report, the average debt per household in rural India is Rs 59,748, nearly half the average debt per household in urban India.
    • IOI: As per the latest AIDIS report, the incidence of indebtedness (IOI) is 35 per cent in rural India — 17.8 per cent of rural households are indebted to institutional credit agencies, 10.2 per cent to non-institutional agencies and 7 per cent to both.
    • Dependence on institutional source: The share of debt from institutional credit agencies in total outstanding debt in rural India is 66 per cent as compared to 87 per cent in urban India.
    • Dependence on institutional sources is often seen as a positive development, signifying broadening financial inclusion, while reliance on non-institutional sources denotes vulnerability and backwardness.
    • Purpose: Institutional credit is taken mainly for farm business and housing in rural India.
    • A significant portion of debt from non-institutional sources is used for other household expenditures.
    • Socio-economic inequality: The data indicates that better-off households have greater access to formal-sector credit and use it for more income-generating purposes.
    • Access to institutional credit is largely determined by the ability of households to furnish assets as collateral.
    • The report shows that the top 10 per cent of asset-owning households have borrowed 80 per cent of their total debt from institutional sources, whereas those in the bottom 50 per cent borrowed around 53 per cent of total debt from non-institutional sources.
    • Debt-trap: the Debt-Asset Ratio (DAR) of the bottom 10 per cent asset-owning households in rural India is 39, much higher than the DAR of 2.6 estimated for the top 10 per cent households.
    • This, coupled with higher borrowing from non-institutional sources, acts as a debt trap for households with fewer assets.

    Way forward

    • Inadequate access to affordable credit lies at the heart of the rural distress
    • The credit policy needs to be revamped to accommodate the consumption needs of the rural poor and to find alternatives for collateral to bring the rural households within the network of institutional finance.

    Conclusion

    The solution to the problem of lack of access to credit in rural areas lies in policy changes.

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  • RBI unveils Financial Inclusion Index

    The Reserve Bank of India (RBI) has announced the formation of a composite Financial Inclusion Index (FI-Index) to capture the extent of financial inclusion across the country.

    Financial Inclusion Index

    • The FI-Index will be published in July every year.
    • The index captures information on various aspects of financial inclusion in a single value ranging between 0 and 100, where 0 represents complete financial exclusion and 100 indicates full financial inclusion.
    • It has been conceptualized as a comprehensive index incorporating details of banking, investments, insurance, postal as well as the pension sector in consultation with the government and respective sectoral regulators.
    • It has been constructed without any ‘base year’ and as such it reflects cumulative efforts of all stakeholders over the years towards financial inclusion.

    Parameters of the index

    • The FI-Index comprises three broad parameters viz.,
    1. Access (35%),
    2. Usage (45%), and
    3. Quality (20%)
    • These parameters are the identification of the customer, reaching the last mile, and providing relevant, affordable and safe products.
    • The index is responsive to ease of access, availability and usage of services, and quality of services for all 97 indicators.

    This year’s highlight

    • The annual FI-Index for the period ended March 2021 stood at 53.9 compared with 43.4 for the period ended March 2017.
  • Poverty in India is on rise again

    In the absence of Consumption Expenditure Survey (CES) data, the Periodic Labour Force Survey shows a rise in the absolute number of the poor in India.

    About Consumption Expenditure Survey (CES)

    • A CES is conducted by the National Sample Survey Office (NSO) every five years.
    • But the CES of 2017-18 (already conducted a year late) was not made public by the Government of India.
    • Now, we hear that a new CES is likely to be conducted in 2021-22, the data from which will probably not be available before end-2022.
    • India has not released its CES data since 2011-12.

    Key highlights

    • Unemployment had reached a 45-year high in 2017-18, as revealed by NSO’s Periodic Labour Force Survey (PLFS).
    • While the PLFS’s questions on consumption expenditure are not as detailed as those of the CES, they are sufficient for us to estimate changes in consumption on a consistent basis across time.
    • It enables any careful researcher to estimate the incidence of poverty (i.e. the share in the total population of those below the poverty line), as well as the total number of persons below poverty.

    There is unemployment induced poverty

    • There is a clear trajectory of the incidence of poverty falling from 1973 to 2012.
    • In fact, since India began collecting data on poverty, the incidence of poverty has always fallen, consistently.
    • It was 54.9% in 1973-4; 44.5% in 1983-84; 36% in 1993-94 and 27.5% in 2004-05.
    • This was in accordance with the Lakdawala poverty line (which was lower than the Tendulkar poverty line), named after a distinguished economist, then a member of the Planning Commission.

    Methodology of Poverty Line

    • In 2011, it was decided in the Planning Commission, that the national poverty line will be raised in accordance with the recommendations of an expert group chaired by the late Suresh Tendulkar.
    • That is the poverty line we use in estimating poverty in the table.
    • As it happens, this poverty line was comparable at the time to the international poverty line (estimated by the World Bank), of $1.09 (now raised to $1.90 to account for inflation) person per day.
    • The PLFS also estimates the incidence of poverty. It also collects the household monthly per capita consumption expenditure data based on the Mixed Recall Period methodology.

    Stunning rise in Poverty

    • It is stunning fact that for the first time in India’s history of estimating poverty, there is a rise in the incidence of poverty since 2011-12.
    • The important point is that this is consistent with the NSO’s CES data for 2017-18 that was leaked data.
    • The leaked data showed that rural consumption between 2012 and 2018 had fallen by 8%, while urban consumption had risen by barely 2%.
    • Since the majority of India’s population (certainly over 65%) is rural, poverty in India is also predominantly rural.
    • Remarkably, by 2019-20, poverty had increased significantly in both the rural and urban areas, but much more so in rural areas (from 25% to 30%).

    Why is it intriguing?

    • It is important here to recall two facts: between 1973 and 1993, the absolute number of poor had remained constant (at about 320 million poor), despite a significant increase in India’s total population.
    • Between 1993 and 2004, the absolute number of poor fell by a marginal number (18 million) from 320 million to 302 million, during a period when the GDP growth rate had picked up after the economic reforms.
    • It is for the first time in India’s history since the CES began that we have seen an increase in the absolute numbers of the poor, between 2012-13 and 2019-20.
    • The second fact is that for the first time ever, between 2004-05 and 2011-12, the number of the poor fell, and that too by a staggering 133 million, or by over 19 million per year.

    Fuss over GDP growth

    • This was accounted for by what has come to be called India’s ‘dream run’ of growth: over 2004 and 2014, the GDP growth rate had averaged 8% per annum — a 10-year run that was not sustained thereafter.
    • By contrast, not only has the incidence of poverty increased since then, but the absolute increase in poverty is totally unprecedented.

    Reasons behind this Pauperization

    The reasons for increased poverty since 2013 are not far to seek:

    • GST: While the economy maintained some growth momentum till 2015, the monumental blunder of demonetization was followed by a poorly planned and hurriedly introduced GST.
    • Fall in investments: None of the engines of growth was firing after that. Private investment fell from 31% inherited by the new government, to 28% of GDP by 2019-20.
    • Fall in exports: Exports, which had never fallen in absolute dollar terms for a quarter-century since 1991, actually fell below the 2013-14 level ($315 billion) for five years.
    • Unemployment: Joblessness increased to a 45-year high by 2017-18 (by the usual status), and youth (15-29 years of age) saw unemployment triple from 6% to 18% between 2012 and 2018.
    • Fall in wages: Real wages did not increase for casual or regular workers over the same period, hardly surprising when job seekers were increasing but jobs were not at anywhere close to that rate.
    • Pandemic: Poverty is expected to rise further during the COVID-19 pandemic after the economy has contracted.

    Hence, consumer expenditure fell, and poverty increased.


    Back2Basics:

    Poverty Lines in India: Estimations and Committees