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Pradhan, Asit
- Impact of Minimum Support Price on Paddy Cultivation: A Micro Level Assessment
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Authors
Affiliations
1 ICAR-National Rice Research Institute, Cuttack 753 006, IN
1 ICAR-National Rice Research Institute, Cuttack 753 006, IN
Source
Current Science, Vol 125, No 3 (2023), Pagination: 277-282Abstract
The present study aims at estimating the impact of minimum support price (MSP) on rice cultivation using a quasi-experiment-based robust research design, propensity score matching applied to household survey-based disaggregated primary data. Results indicate that MSP significantly impacts price realization in the disposal of paddy. Further, MSP has a fair influence on the marketed surplus of rice and the acreage devoted to the rice crop. The study finds important correlations between farmers’ decisions to avail MSP in rice. It has important policy implications from an implementation perspective to make it more effective to better off the paddy growers throughout the country.Keywords
Impact Evaluation, Minimum Support Price, Propensity Score Matching, Rice Cultivation.Full Text
References
- Mittal, S. and Hariharan, V. K., Crop diversification by agro-climatic zones of India – trends and drivers. Indian J. Econ. Dev., 2016, 12(1), 123–132.
- Ali, S. Z., Sidhu, R. S. and Vatta, K., Effectiveness of minimum support price policy for paddy in India with a case study of Punjab. Agric. Econ. Res. Rev., 2012, 25(2), 231–242.
- Chand, R., Government intervention in foodgrain markets in the new context. Policy Paper 19, 2003, ICAR – National Institute for Agricultural Economics and Policy Research, New Delhi.
- Paul, S., Pradhan, A. K., Srivastava, S. K., Mishra, S. K. and Kumar, G. A. K., Role of women in ensuring food and nutrition security. Vigyan Varta, 2022, 3(4), 140–145.
- Aditya, K. S., Subash, S. P., Praveen, K. V., Nithyashree, M. L., Bhuvana, N. and Sharma, A., Awareness about minimum support price and its impact on diversification decision of farmers in India. Asia Pac. Policy Stud., 2017, 4(3), 514–526.
- Som, S., Roy Burman, R., Sharma, J. P., Singh, A. K. and Paul, S., Impact of mera gaon mera gaurav (MGMG) programme in Uttar Pradesh and Haryana. Indian J. Agric. Sci., 2019, 89(7), 1115–1120.
- Roy Burman, R. et al., Comparative study on extent of adoption and economic impact of NARS paddy varieties in Indo-Gangetic plains of India. Indian J. Agric. Sci., 2020, 90(2), 331–336.
- Paul, S., Tripathi, A. K., Burman, R. R. and Singh, A. K., Performance appraisal of the frontline extension system in Northeastern region of India: a policy imperative. Indian J. Agric. Sci., 2016, 86(9), 1183–1188.
- Jalan, J. and Ravallion, M., Estimating the benefit incidence of an antipoverty program by propensity score matching. J. Bus. Econ. Stat., 2003, 21(1), 19–30.
- Rosenbaum, P. and Paul, D., Observational Studies, A Springer Series in Statistics Publication, New York, 2002, 2nd edn.
- Paul, S. et al., Development of an indicator based composite measure to assess livelihood sustainability of shifting cultivation dependent ethnic minorities in the disadvantageous northeastern region of India. Ecol. Indic., 2020, 110, 105934.
- Kumar, R. K., Paul, S., Singh, P. and Chahal, V. P., Factors determining farmers’ progressiveness: a principal component analysis. Indian J. Agric. Sci., 2015, 85(8), 1026–1029.
- Sekhon, J. S., Multivariate and propensity score matching software with automated balance optimization: the matching package for R. J. Stat. Softw., 2011, 42(7), 1–52.
- Keele, L., An overview of R bounds: an R package for Rosenbaum bounds sensitivity analysis with matched data. White Paper, 2010, A Ohio State University Publication, Columbus, Ohio.
- Wickham, H., François, R., Henry, L. and Müller, K., dplyr: a grammar of data manipulation, 2022; https://dplyr.tidyverse.org, https://github.com/tidyverse/dplyr
- Sendhil, R., Ramasundaram, P. and Balaji, S. J., Transforming Indian agriculture: is doubling farmers’ income by 2022 in the realm of reality. Curr. Sci., 2017, 113(5), 848–850.
- Patil, S., Aditya and Jha, A. K., Role of financial agencies in integrating small farmers into a sustainable value chain: a synthesis-based on successful value chain financing efforts. Curr. Sci., 2016, 110(11), 2082–2090.
- Kumar, S., High level committee report on reorienting the role and restructuring of Food Corporation of India, 2015; https://fci.gov.in/app2/webroot/upload/News/Report%20of%20the%20High%20Level-%20Committee%20on%20Reorienting%20the%20Role%20and%20-Restructuring%20of%20FCI_English.pdf
- Das, R., Minimum support price in India: what determines farmers’ access. Agric. Econ. Res. Rev., 2020, 33(1), 61–69.
- Gertler, P. J., Martinez, S., Rawlings, L. B. and Vermeersch, C. M. J., Impact Evaluation in Practice, The World Bank Publication, Washington DC, 2011.
- Singh, A. K. et al., Farmers’ experience with subsidy scheme on power tillers to enhance farm mechanization in India. Indian J. Agric. Sci., 2020, 90(1), 146–151.
- Ghosh, B., Roy Burman, R., Padaria, R. N. and Paul, S., Global lens – agricultural development and poverty alleviation – cash transfer as policy instrument. Agric. Today, 2022, 25(2), 56–58.