Impact of Agricultural Related Technology Adoption on Poverty: A Study of Select Households in Rural India
This paper applies a program evaluation technique to assess the causal effect of adoption of agricultural related technologies on consumption expenditure and poverty measured by headcount, poverty gap and poverty severity indices. The paper is based on a cross-sectional household level data collected in 2014 from a sample of 270 households in rural India. Sensitivity analysis is conducted to test the robustness of the propensity score based results using the “rbounds test” and the mean absolute standardized bias between adopters and non-adopters. The analysis reveals robust, positive and significant impacts of agricultural related technologies adoption on per capita consumption expenditure and on poverty reduction for the sample households in rural India.
KeywordsAgriculture related technology adoption Propensity score matching Poverty Odisha India
JEL ClassificationC13 C15 O32 O38
We would like to thank the participants of the workshop on “Harnessing Technology for Challenging Inequality” at Tata Institute of Social Sciences, Mumbai jointly organized with Forum for Global Knowledge Sharing. We gratefully acknowledge Prof. K. Narayanan and Prof. N.S. Siddharthan for comments and suggestions in the earlier draft of this paper. We are grateful to MSSRF-APM Project for the funding support of the sub-project on PDHED at MSE Chennai. We gratefully acknowledge inputs from Prof. U. Sankar, Prof. R.N. Bhattacharyya, Prof. K.R. Shanmugam, and Dr. A. Nambi for the insightful comments and suggestions on the project output. We also grateful acknowledge the respondents for their active participation during primary data collection.
- David, C. C., & Otsuka, K. (Eds.). (1994). Modern rice technology and income distribution in Asia. International Rice Research InstituteGoogle Scholar
- De Janvry, A., Graff, G., Sadoulet, E., & Zilberman, D. (2001). Technological change in agriculture and poverty reduction. Concept paper for the WDR on Poverty and Development Google Scholar
- Lee, M. J. (2005). Micro-econometrics for policy, program and treatment effects. Advanced Texts in Econometrics, Oxford University Press.Google Scholar
- Mwabu, G., Mwangi, W., & Nyangito, H. (2006). Does adoption of improved maize varieties reduce poverty? Evidence from Kenya. Paper presented at the International Association of Agricultural Economists Conference, Gold Coast, AustraliaGoogle Scholar
- Rangarajan, C. (2014). Report of the expert group to review the methodology for measurement of poverty. Government of India Planning Commission. Available at http://planningcommission.nic.in/reports/genrep/pov_rep0707.pdf
- Rosenbaum, P. R., & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. American Statistician, 39(1), 33–38.Google Scholar