National Sample Survey Office Research Articles

Impact of India’s farm science centers (Krishi Vigyan Kendras) on farm households’ economic welfare: An evidence from a national farmers’ survey

This study examines the impact of access to India’s farm science centers (Krishi Vigyan Kendras, or KVKs) on agricultural households’ welfare using household data from the nationally representative Situation Assessment Survey of Agricultural Households conducted by India’s National Sample Survey Office in 2013. Employing different matching techniques and endogenous switching regression models, it was observed that the KVKs have a positive and statistically significant impact on agricultural households’ economic welfare, although, that impact is heterogeneous. Further, the investments made in expansion of India’s network of KVKs have been quite remunerative, as the benefit- to-cost ratio of expenditure on KVKs ranges from 8–12. Moreover, present findings suggest that expanding rural formal credit markets and promoting literacy can maximize the potential impact of KVKs on agricultural households’ economic welfare.

Unpaid Work by Women: A State-level Analysis of Evidence from Time-use Survey

Low and declining female labour force participation in India over the past two decades has turned attention to the high unpaid work time spent by women. The question, however, remains whether women spend more time on unpaid work because there are not enough jobs or whether it is time spent on unpaid work that is holding them back from participation in the labour force. Against this backdrop, the present article explores India’s nationally representative time-use survey conducted by National Sample Survey Office (NSSO) to estimate factors that explain variations in time spent by women in unpaid work at the state level. The results show that structural transformation, entailing a reduction in employment in agriculture and an increase in the share of industries in state GDP, does not necessarily entail any reduction in unpaid time spent by women if the technology embodied in industrialisation is not gender-friendly. Worryingly, progress in female literacy recorded by states is no guarantee of a reduction in unpaid work by women. However, a gender-friendly atmosphere does make a difference in the reduction in unpaid work reported by women. Similarly, targeted public policy intervention does relax the constraints that women face at home, with a positive effect on unpaid work time.

Wage Differentials and Inequality in Managerial and Professional Jobs: Quantile Regression Analysis

In the economics literature, it is vividly portrayed that there is a great deal of disparity in wages received by workers across economic activities and occupations in India. The primary purpose of this article is to identify factors determining wage differentials and to measure wage inequality in managerial and professional occupations. Using unit-level records of periodic labour force survey (PLFS) published by the National Sample Survey Office (NSSO), we apply quantile regression model to examine how wage distribution is determined by personal, household and labour market characteristics. Our analysis is limited to persons aged between 15 and 65 and employed in managerial and professional occupations. The findings suggest that rural–urban dichotomy, gender, technical education, social group, job contract, type of enterprise and enterprise workforce size are statistically significant across quantiles and are important in explaining the wage distribution of managerial and professional workers in India. From a policy perspective, the invigoration of gender-based measures coupled with the expansion of technical education and labour market institutions are essential for bridging the wage disparity in India. JEL Classifications: J16, J24, J31

Monitoring WASH and school dropouts in India: Is there adequate data? An assessment of four national databases

Abstract Water, sanitation and hygiene (WASH) are crucial to human development. Lack of WASH affects girls’ health and school attendance, particularly after puberty. This has long-term consequences on gender equality and empowerment. Several international (like the World Health Organisation's WASH standards, the United Nations Sustainable Development Goals (4, 5 and 6)) and national initiatives (like The Right of Children to Free and Compulsory Education Act of 2009, the Swachh Bharat Swachh Vidyalaya campaign and guidelines for menstrual hygiene management) are expected to address this issue in schools. There is a need to systematically and regularly collect and disseminate WASH data on school infrastructure facilities and attendance details. This would help assess the achievement of better WASH infrastructure and examine how much it reduces school dropouts. We assess four national-level databases routinely used for studies in human development – India Human Development Survey, National Family Health Survey, National Sample Survey Office and the Unified District Information System in Education. Our study finds limited data availability, making assessing the extent of target achievement difficult. It underscores the need for re-orienting data collection on school attendance and WASH school infrastructure.

Returns on Solid Waste Management: Evidence from Indian Informal MSMEs

The paper revisits the Porter-Wagner dilemma about the association between environmental management (EM) and firm performance (FP). The context of informal Micro, Small and Medium Enterprises (MSMEs) provides an interesting case since they are away from regulatory scrutiny or corporate/social obligations. The study resorts to labor productivity as the measure of FP and EM is represented by the various solid waste management practices (WMPs) adopted by the informal enterprises. Using the latest available cross-sectional data on un-incorporated firms by National Sample Survey Office (NSSO) 73rd round 2015-16, we found the positive impact of WMPs was higher in the case of more productive firms in the quantile, indicating the relevance of the Porter-Wagner dilemma. The direction of causality was further validated using the propensity score matching technique by decomposing the average treatment effect.

Does crop insurance ensure food security for Indian farmers? Evidence from a nationally representative survey

AbstractThis study examines the impact of farm households' decision to adopt crop insurance and its effect on food security. Using the National Sample Survey Office's 77th round of data (2019–2020) from Indian farming households, the endogenous switching regression results confirm that insuring crops against production risks increases food security (as measured by higher consumption expenditures and net farm income). Specifically, findings show that farming households would decrease consumption expenditures by 15% and net farm income by 26% if they had not adopted crop insurance. Similarly, the noninsured families would have 23% higher consumption expenditures and 31% higher net farm income if they had insured crops. However, we find heterogeneity in welfare impacts because large farmers reap more benefits than smallholders. Policy implications from this study call for increased awareness of insurance programs, educating farmers about crop insurance schemes, and an effective institutional framework to reduce heterogeneity in insurance benefits. [EconLit Citations: Q13, Q18, O53].

Pradhan Mantri Awas Yojana (PMAY): Government of India’s Approach to Affordable Housing for the Urban Poor

Affordable housing is primarily a market-based notion that emphasises the significance of one's ability to pay for housing. The main issue with India's urban poor is that some households can never, ever, ever afford suitable accommodation. Affordable home in India is a distant goal due to the interaction between their poverty and the country's housing market. The article tests Engel's law to ascertain the disposable income of the poor for housing using data from the National Sample Survey Office's 68th Round Consumer Expenditure Survey and India's Consumer Economy (ICE 360) Survey. The poor have less spare income and spend a larger percentage of their income on essentials, making it difficult for them to buy a home. The Pradhan Mantri Awas Yojana (PMAY), the government's lauded flagship initiative, is distant from the market reality, according to data compiled from a private property website for 22 cities.

Changing Employment Patterns: An Analysis of Rural Labour Force in Punjab

The story of Punjab’s economic development witnessed an asymmetrical shift in the structure of output and employment due to the intensive capitalistic model of production in agriculture. The present study, based on National Sample Survey Office data, examines the patterns of employment and output in rural economy of Punjab during the pre-reform and post-reform period. Rural Punjab witnessed fall of work participation rate and phenomenon of ‘defeminisation’ of the labour force in agriculture during the post-reform period. There is a paradigm shift as the share of non-agriculture employment increased to 59.3% as per Periodic Labour Force Survey 2018; consequently, the non-agriculture sector becomes a major driving force in the state economy. An increase in employment elasticity among all sectors (except construction sector) during the post-reform period is a good sign. But a substantial decline in employment elasticity for all the sectors (except the construction sector) of Punjab is a disquieting phenomenon during the study period. Amidst the agrarian crisis, the rural non-farm sector can emerge as a silver lining, but evangelists of market economy disregarded the rural non-farm sector. Hence, the state should abdicate its neoliberal policies and adopt post-Washington consensus for the development of the rural non-farm sector within a given mode of production. JEL Codes: E24, J16, J43, J46, O11

Is health insurance really benefitting Indian population? Evidence from a nationally representative sample survey.

Universal health coverage (UHC) is the centrepiece of the sustainable development goals and aims to ensure access to essential and quality healthcare services to all without facing financial hardships. Several health insurance programmes have been launched in India to progress towards UHC. This study aims to assess the impact of health insurance (overall health insurance, government sponsored health insurance (GSHI), and private voluntary health insurance) on accessibility and utilization of inpatient care, out-of-pocket health expenditure (OOPE), catastrophic health expenditure (CHE), and impoverishment in India. The 75th round of National Sample Survey Office was used in the study, which covered 555,115 individuals, 113,823 households, and 91,445 hospitalization incidence all over India. Descriptive statistics, multivariable logistic regression, and propensity score matching (PSM) methods were employed. Enrolment under health insurance has impacted the accessibility and utilization pattern of hospitalization to some extent for the insured. PSM showed that enrolment under GSHI schemes reduced OOPE by INR 3314 (USD 49) and CHE incidence by 1%-4% at various thresholds. Among poor persons, there was a marginal but statistically significant reduction of OOPE among those enrolled under GSHI schemes (p<0.05). However, GSHI schemes did not statistically significantly reduce the CHE burden for poor persons enrolled (p>0.05). Furthermore, enrolment under private voluntary health insurance reduced OOPE by INR 13,511 (USD 198) and CHE by 13.47% at 10% threshold, 4.61% at 25% threshold, and 2.65% at 40% threshold. However, its uptake was primarily confined to richer economic quintiles and urban areas that exacerbates equity concerns. All the results were confirmed through robustness measures employed. There is a necessity to increase awareness and uptake of health insurance, along with introducing comprehensive insurance packages covering both inpatient and outpatient care. Also, increasing public health spending, strengthening public healthcare facilities, and improving regulatory implementation of private healthcare providers are imperative to augment financial protection.

Gender and Inequality in Access to Healthcare Facilities in India: Evidence from NSSO’s 75th Round on Health

The present study attempts to explore gender-based gaps in access to quality healthcare at the pan-India level. To undertake our analyses using National Sample Survey Office’s secondary data, we prepared a Gender Parity Index to understand the nature and extent of gender differential in access and direct utilization of quality healthcare services. The results validate the proposed objective of the study, that is, females suffer from innate accessibility gaps in rural as well as urban India. Females not only lack access to general healthcare but are also devoid of quality healthcare. Males, often, have better access to general healthcare through private hospitals and clinics in conjunction with other sources. On the other hand, females are predominantly confined to the government and charitable medical institutions. Additionally, the results show that the brunt of these gaps in healthcare is borne relatively more by rural females than their urban female counterparts.

Firm Size and Productivity in the Informal Sector: Evidence from India

The study analyses the debate around the ambiguous relationship between firm size and performance. We explore how productivity varies across firm sizes in the informal sector, where firm size is sensitive to formal regulations. Additionally, the study also looks into the informal firms’ quantity and quality of employment by observing wage and performance dispersion across firm sizes, thus indicating capital accumulation and exploitation. Considering the data limitations, a pseudo-panel data design was adopted by combining the three, only available, independent cross-sectional surveys by the National Sample Survey Office, spanning from 1999–2000 to 2015–2016. Potential issues such as time-invariant unobserved firm-level heterogeneity were accounted for by using panel random effects regression. Using total firm employment and total factor productivity as the primary measures of firm size and performance, we find a positive relationship between the two across all major industries. Our results stand robust against alternative firm size and performance measures. However, this positive association between size and performance indicated capital accumulation (increasing productivity with increasing size) at the expense of labour exploitation (stagnant wages across firm sizes). The obtained findings convey important policy implications for adopting a carrot-and-stick approach for the gradual formalisation of the economy. JEL Codes: D22, L25, O25

How productive is liquid waste management practices in Indian informal micro, small and medium enterprises?

PurposeWaste management is a crucial aspect of sustainable development, but is it economically sustainable for marginalized informal firms? The study tries to answer this question by revisiting the Porter–Wagner dilemma about the association between environmental management (EM) and firm performance (FP). The study looks into the various liquid waste management practices (LWMPs) adopted by them and the overall impact of LWMPs on firms' economic performance.Design/methodology/approachThe study uses the latest available cross-sectional data source on Indian informal firms by the National Sample Survey Office (NSSO), 73rd survey round 2015–16. First, ordered logistic regression was used to analyse the factors that impact a firm's adoption of a particular LWMP. Subsequently, to capture the heterogeneity among the firms based on productivity and size, a quantile regression (QR) was employed to analyse the impact of LWMPs on firm productivity. Additionally, the propensity score matching technique was used to address endogeneity concerns.FindingsThe authors find that bigger, urban-located and female-owned firms adopt cleaner LWMPs that positively impact their economic performance. Furthermore, the QR analysis observed that the most productive firms could extract higher returns from adopting cleaner LWMPs, indicating the relevance of the Porter–Wagner dilemma, i.e. environmental and economic sustainability are possibly symbiotic, thus having a feedback mechanism.Originality/valueTo the authors’ limited knowledge, this is the first study analysing the relationship between EM and FP among the informal sector firms, which are away from any regulations or obligations. Since sustainability is a two-way process, policies should be devised that incentivise sustainable business practices.

Ceramic Manufacturing Workforce in India: Trends, Relative Earnings and Its Determinants

India’s ceramic industry, characterized by the transitional shift from traditional craft to modern industry, is imbibed to economic growth and development. It has witnessed a dynamic change from all hands-on deck to no hands-on deck. With an aim to understand the change in ceramic manufacturing workforce in India, the paper has analyzed the latest trends of ceramic workforce participation over the time period 1993-94 to 2020-21 using the national sample survey office (NSSO) employment and unemployment (E&U) survey data from 1993-94 to 2011-12 and periodical labour force survey (PLFS) data from 2017-18 to 2020-21. The results showcased that there was a declining trend in the overall workforce participation rate at the end of E&U survey (2011-12), however, after replacing NSSO E&U survey data with PLFS data the overall workforce participation rate showed an increasing trend. However, the study found that there was a continuous decline in the ceramic workforce as the total per cent of overall workforce. Further study highlighted that there is a wide gap between the perday earnings of ceramic and non-ceramic workers. Non-ceramic workers have high per day earning as compared to the ceramic workers that hampers the willingness of the workers to work in this industry. The study has established the impact of various socio-economic variables on per day earnings of the workers using Tobit regression model. The level of education has a positive and significant relation with per day earning of the ceramic workers. Education helps in accelerating the per day earning of the ceramic workers. Furthermore technical education have a highest positive impact on the per day earnings of the ceramic workers.

A cross-sectional study to assess the morbidity pattern among female agricultural workers in the rural area of Central India: a study protocol

Agriculture serves as the primary source of income for a substantial number of agricultural workers, with a significant portion of the Indian population, especially in rural areas, engaged in this occupation. However, the health status of female agricultural workers is often adversely affected by various factors, including working conditions, environmental exposure, and other morbidities. As a result, they are at risk of developing several diseases, such as tuberculosis, diabetes, hypertension, lung disease, muscle pain, joint pain, and pesticide poisoning, which constitute the main occupational health concerns in this sector. Unfortunately, despite the prevalence of these health risks, many female agricultural workers do not prioritize their own health and wellbeing. According to the latest survey data by the National sample survey office (NSSO), around 54% of the Indian workforce is engaged in agriculture, mainly in rural areas. There are no unions for female agricultural workers, and they cannot receive occupational health facilities and social security schemes provided to them. This study aims to understand female agricultural workers and health-seeking behaviours and morbidities. Objectives- This study assesses the morbidity pattern among female agricultural workers and the health-seeking behaviour of female agricultural workers. It also identifies the utilization of social security schemes among female agricultural workers in villages. The study focuses on assessing the morbidities among female agricultural workers aged 18 and above residing in the villages of Wardha district of Maharashtra. For this purpose, A pretested questionnaire covering sociodemographic data, morbidity profile, socioeconomic variables, family, education, and social security measures will be utilized. The study aims to conduct a community-based cross-sectional survey among 131 female agricultural workers from the specified region.

Analysis of public health-care facilities in rural India

PurposeThis paper aims to analyze the status of infrastructure, workforce and basic amenities at public health-care facilities in rural India and draw a comparison with its urban counterparts.Design/methodology/approachRural Health Statistics data and National Sample Survey Office Report for the period 2019–10 were used to analyze lower-level public health facilities, namely, subcenters, primary health centers and community health centers (CHCs). Selected tracer indicators under World Health Organization’s (WHO) Service Availability and Readiness Assessment (SARA) mechanism such as health center density, core health workforce density and basic amenities were used to carry out the analysis. The extent of facility coverage was measured using the National Rural Health Mission (NRHM) guidelines and the proportion of facilities satisfying the Indian Public Health Standards (IPHS) was measured to assess the service provision quality in rural public health-care facilities.FindingsResults indicated that the density of public health centers is higher in rural areas than in urban areas. Almost all public health-care facilities lack basic amenities in rural areas. Working positions for health specialists in CHCs barely meet the total requirement. Almost all of the public health facilities functioning in rural areas do not meet the IPHS norms.Originality/valueTo the best of the authors’ knowledge, the present paper is the first initiative to assess the status of rural public health-care facilities on the national level using WHO’s SARA indicators as well as NRHM and IPHS guidelines. The study is significant in terms of policy input for achieving universal health coverage in India.

Role of Education in the Empowerment of Women in India

Education is not only the main pillar of nation-building, but through education, a nation moves towards progress. In a country, with different races of people, both men and women became uplifted towards development when illuminated by education. By the united force of men and women, especially women, a country leads its way to the path of success. Women’s empowerment is a necessity for this success. Again, education is the most powerful instrument of empowerment as it generates consciousness that leads to empowerment. Hence, to pave the way for women’s emancipation and empowerment, education plays a pivotal and inevitable role. According to Pandit Jawaharlal Nehru –"If you teach a male, you educate an individual If you educate a lady, you educate an entire family.” Women who are educated and empowered succeed in society, business, and family life. So, Women empowerment refers to increasing women's social, economic, and educational power. It refers to an environment where there is no gender bias and equal rights in the community, society, and workplaces. Today, according to the GOI report, the male literacy rate is currently at 84%, while the female literacy rate is less than 70%. Again, the most recent labor force surveys conducted by the NSSO (National Sample Survey Office) published the female worker population ratio (%) on a status basis in the country during 2013-14 and 2015-16 are 29.6% and 25.8% respectively. Education helps women become aware of their rights, dignity, and opportunities. It gives them the chance to make a more meaningful decision in terms of political engagement and decision-making choices about life. Thus, education can benefit from building self-confidence, self-efficiency, and decision-making power and increasing gender parity in an organization or institution

Protecting land and livelihood under climate risks: What hinders crop insurance adoption?

Small-scale agriculturists in developing countries face continuous weather-related risks, which are exacerbated by the growing issues of climate change (See Shah et al., 2018 for Pakistan; Zakaria et al. (2020) for Sub Sahara Africa). Despite efforts to introduce formal crop insurance at a subsidized rate by many governments, including in India, insurance penetration rates remain low in less developed countries (LDCs). One reason for this is continued reliance on informal credit as a risk-coping mechanism in poorer regions in times of agricultural distress. This prompts the question as to why farmers rely on these methods when apparently less expensive formal crop insurance is available. To answer, we investigate the link between the conditionalities of informal credit and the decision to adopt crop insurance together with other factors such as farmers’ socioeconomic class, education, and attitude to risk. Thereby, we derive policy implications for enhancing insurance penetration among poor farmers. A theoretical model is first constructed to provide a motivation for the empirical relation examined. An analysis of the decision to adopt crop insurance and the extent of insurance coverage availed is undertaken using a two-part fractional logistic regression with crop insurance data from India (provided by the National Sample Survey Office). The results demonstrate that informal interest rates are significantly and positively correlated with the probability of taking up crop insurance, and disparities between economic and social classes in the adoption of crop insurance exist. Although the ills of usurious informal interest rates are often highlighted (Bhaduri, 1997), this indirect positive effect on crop insurance penetration has not been established heretofore. The exercise also looks at the possibility of loss expected by a farmer and their insurance adoption behaviour by relating it to Prospect Theory (Kanheman, Tversky, 1979).

Do different types of vocational education and training programmes influence earnings? Recent evidence from India

PurposeIndian government initiated several skill development policies and different types of vocational education and training (VET). Yet the participation in skill education is low because of poor labour market outcomes. This paper aims to calculate returns to skill education to understand the type of training that will have better labour market outcomes.Design/methodology/approachIn this paper nationally representative data from the periodic labour force survey (PLFS), collected by the national sample survey office for 2017–2018, are used to estimate the returns to formal and non-formal VET obtained (after different levels of general education) with the help of Heckman's two-stage method.FindingsNearly 8% of the working-age population has received some form of VET (mostly non-formal), generating poor returns. For the overall population, formal on-job training (OJT) and full-time VET influence wage positively and significantly. Full-time VET obtained after secondary and below levels of education generates positive returns, whereas part-time VET is profitable only to those without formal education. At the graduate level, technical education obtained along with VET is associated with better wages.Originality/valueIn India where a considerable proportion of the workforce is employed in the informal sector, different types of skill training like full-time, part-time and OJT influence labour market outcomes. This finding has policy implication for countries with large informal sector and calls for further research in such countries.

Estimation of sharing rule: an application of intra-household collective model on Indian data

PurposeMany aspects of well-being depend critically on individual-level expenditure and consumption. The Millennium Development Goals include the promotion of gender equality and the empowerment of women, which partly have to do with women’s access to resources within households. Many important questions in labour, public and development economics also hinge on the intra-household distribution of resources. This paper aims to estimate the resource shares within a household in the rural and urban sectors of West Bengal through a collective household model, where each household member has a specific utility function. The sharing rule parameters, that determine the apportionment of resources between members within a household, are estimated in an intra-household collective framework. The analysis is based on a system of log-quadratic Engel curves estimated using the 68th round (2011–2012) household-level consumption expenditure data of the Indian National Sample Survey Office (NSSO) for rural and urban sectors separately for the state of West Bengal.Design/methodology/approachThe sharing rule parameters (that determine the apportionment of resources between members) within a household are estimated in an intra-household collective framework as suggested by Dunbar et al. (2013). The analysis is based on a Quadratic Almost Ideal Demand System (QUAIDS) estimated using the 68th round (2011–2012) household-level consumption expenditure data of the Indian NSSO.FindingsIn this paper, the authors estimate the sharing rule of total household expenditure between couples in a household in the state of West Bengal. They use a modified version of the QUAIDS and the 68th round (2011–2012) household-level consumer expenditure data provided by the NSSO. From the exercise, it emerges that on an average, the resource shares between husband and wife in a household is about 66:34% in the rural sector and about 60:40% in the urban sector. Based on a classification of households by the distribution of resource shares, where higher resource share for the husband is classified as “Husband dominated” and the reverse as “Wife dominated”, the percentage of “Husband dominated” households is much more in both sectors. This unequal distribution of resources may have far-reaching consequences on allocation of expenditure on the children of the household. The authors leave this exercise as a future project.Originality/valueThis paper is an attempt to estimate the sharing rule for households using NSSO consumption expenditure data. This paper also highlights the intra household unequal resource allocation through the sharing rule. They use a modified version of the QUAIDS and the 68th round (2011–2012) household-level consumer expenditure data provided by the NSSO. From the exercise, it emerges that on an average, the resource shares between husband and wife in a household is about 66:34% in the rural sector and about 60:40% in the urban sector. Based on a classification of households by the distribution of resource shares, where higher resource share for the husband is classified as “Husband dominated” and the reverse as “Wife dominated”, the percentage of “Husband dominated” households is much more in both sectors. This unequal distribution of resources may have far-reaching consequences on allocation of expenditure on the children of the household. The authors leave this exercise as a future project.

Rural non-farm employment diversification in India: the role of gender, education, caste and land ownership

PurposeNon-farm employment has transitioned from a residual to a dominant livelihood option in rural India. Despite the sector’s diverse welfare implications, it is still a male-dominant sector with limited scope for female’s participation. Several socio-economic and cultural factors are responsible for such disparities in occupational choices. The purpose of this study is to examine this gender dimension of occupational diversification for rural India and focuses on the role of education, caste and land ownership in explaining employment probabilities across gender.Design/methodology/approachThis study uses secondary data on employment and unemployment from the National Sample Survey Office (NSSO) for rural India and pooled the data for three periods that include 61st (2004–2005), 66th (2009–2010) and 68th (2011–2012) round comprising a total of 235,722 individuals. The study applies a multinomial logit regression model.FindingsThe results show that education facilitates females to diversify to sectors like manufacturing, mining and construction while educated males are more likely to diversify to services. However, the likelihood of diversification by educated females is low for those belonging to land-owning households. On the contrary, land ownership facilitates educated males to join sectors like mining and quarrying and services. It is also found that females belonging to Scheduled Tribe/Scheduled Caste (ST/SC) households diversify to low return activities like manufacturing and construction while males are more likely to join services.Originality/valueThis study has contributed to the literature on employment diversification by considering not only the gender aspect of diversification but also examining how education, caste and land would explain occupational choices between males and females. It is evident from the findings that education can be a liberating factor for females to participate actively in sectors outside agriculture but the status quo associated with land ownership in rural India declines their possibility of economic participation compared to males. Even educated females are confined to manufacturing and construction in the absence of proper non-farm employment opportunities for them.