Does Market Integration Increase Rural Land Inequality ? Evidence from India

Claudia N. Berg, Brian Blankespoor, M. Shahe Emran and Forhad J. Shilpi

No 10286, Policy Research Working Paper Series from The World Bank

Abstract: Investments in transport infrastructure lower trade costs and lead to integration of villages with urban markets. Does spatial market integration increase land inequality in rural areas Theoretical analysis by Braverman and Stiglitz (1989) suggests that the interactions of lower trade costs with credit market imperfections can increase land inequality. The primary mechanism is the adoption of increasing returns technology by large landowners facing lower trade costs which makes it more profitable to expand their scale by buying land from small, credit-constrained farmers. Using high- quality household survey data (the India Human Development Survey) on land ownership in rural districts of India, this paper provides the first evidence on the effects of market integration on land ownership inequality. It develops an instrumental variables approach exploiting two sources of exogenous variation: the location of a rural district relative to the Golden Quadrilateral network (an inconsequential place design) and the length of colonial railroad in the 1880s in a district (a historical infrastructure design). This paper discusses and deals with potential objections to the exclusion restrictions. The evidence suggests that a 10 percent increase in a gravity measure of market access increases the land Gini coefficient by 2.5 percent and the share of landless households by 6.8 percent. This paper finds evidence consistent with the Braverman and Stiglitz (1989) hypothesis that the interaction of credit mar ket imperfections with lower trade costs increases land inequality: a 10 percent increase in market access increases the adoption of increasing returns farming technology by 3.5 percent. There is a positive effect on land sales, but the instrumental variables estimates are imprecise. The robustness of the conclusions is checked by relaxing the exclusion restrictions using the Conley et al. (2012) approach, and the bias-adjusted ordinary least squares estimator of Oster (2019) that does not impose any exclusion restrictions. The estimated effects of market access cannot be accounted for by the colonial land revenue system, demographic pressure on land, and differences in inheritance law between the Hindu and Muslim population in a district.

Date: 2023-01-25
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