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Learning Resource Centre Monthly Bulletin |
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Learning Resource Centre Monthly Bulletin |
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| New Books |
 B119193 Making Sense of China`s Economy By Wang Tao |  B118986 Fintech For Billions By Chowdhry Bhagwan |  B95117 Agricultural Input Subsidies By Chirwa, Ephraim |
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| Articles |
| Does multiple job holding raise labour use efficiency of the farm operators? Evidence from rural India. By Drall, Anviksha;Mandal, Sabuj Kumar Applied Economics. Jan2026, Vol. 58 Issue 2, p277-292. 16p Abstract :Amid various agro-climatic shocks when farm income becomes volatile, farmers often diversify income by holding multiple non-farm jobs. While the impact of multiple jobholding on overall farm efficiency is documented in literature, very little is known about the impact of multiple job holding on farm labour use efficiency. This is important as participation in non-farm activities alters farmers` labour allocation decisions between farm and non-farm activities. Using a rich household level panel data from eight Indian states for the period 2010–2014 from Village Dynamics in South Asia (VDSA) Project by International Crops Research Institute for the Semi-Arid Tropics and adopting Data Envelopment Analysis, we estimate labour use efficiency. Our Instrumental Variable Tobit estimation shows that multiple job holding increases farm operators` labour use efficiency significantly. However, the heterogeneity analysis using sub samples demonstrates that the positive impact of multiple non-farm jobs is enjoyed mostly by medium and large farmers. Also, farmers engaged in wage and salary based non-farm employment experience higher labour efficiency once they hold multiple jobs. Self-employed farmers experience higher labour efficiency only if they earn a threshold level of non-farm income. Since multiple job holding improves farm labour use efficiency, more avenues for non-farm employment to be created for agricultural and rural development. [ABSTRACT FROM AUTHOR] | |||
| Accounting for change in income inequality in rural India, 1993–2011: a regression-based decomposition. By Azam, Mehtabul Applied Economics Letters. Jan2026, Vol. 33 Issue 2, p287-292. 6p. Abstract :Utilizing household-level income data from rural India, we study the role played by household characteristics and location in explaining the increased income inequality observed in rural India between 1993 and 2011. We use a regression-based inequality decomposition method and differentiate from prior work by focusing on income inequality and integrating district-fixed effects for spatial factors. We find that a large proportion of the observed increase in rural income inequality in India remains unexplained, and the contribution of household characteristics in accounting for increased income inequality is rather limited. We also find that the spatial factors captured by district-fixed effects have become more important drivers of income inequality in rural India. We further find that the contribution of state-level differences to income inequality has increased over time. [ABSTRACT FROM AUTHOR] | |||
| Rural School Investment and the Rural-Urban Education Gap: Evidence from India. By Ray, Arijit;Ruseski, Jane E. Journal of Development Studies. Jan2026, Vol. 62 Issue 1, p68-82. 15p. Abstract :An important cause of the rural-urban educational gap is the lack of basic school infrastructure in rural areas, such as availability of restrooms for children. In an effort to improve child health, particularly in rural areas, the government of India implemented the School Sanitation and Hygiene Education program (SSHE), a nation-wide initiative to build restrooms in schools. This initiative was part of a larger rural sanitation improvement program, the Total Sanitation Campaign, which aimed at building restrooms in every household in rural India. Using a combination of district level school characteristics and individual level data from nationally representative sources, we examine the impact of this initiative on the educational gap between rural and urban areas for female children. We find increases in completion rates and years of education in rural areas, reducing the rural-urban female education gap. We observe increased school completion rates at every level; however, the results are stronger at the primary and upper-primary levels of education. Furthermore, female children in low-income states completed secondary education more than before, an effect which is absent for rest of the country, highlighting the importance of having improved school facilities in poorer regions. [ABSTRACT FROM AUTHOR] | |||
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| News |
| 1,200-acre agricultural market to come up near Vadhvan Port By Hindustan Times; Apr 1 2026 |
| Jal Jeevan Mission 2.0: Strengthening rural water systems through technology and governance By ET Edge: Mar 30 2026 |
| Centre releases over ₹1,500 cr in 15th Finance Commission grants to boost rural governance across six states By Mint; Mar 31 2026 |
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