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Can a Weather-Based Crop Insurance Scheme Increase the Technical Efficiency of Smallholders? A Case Study of Groundnut Farmers in India

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  • K. Nirmal Ravi Kumar

    (Department of Agricultural Economics, Acharya NG Ranga Agricultural University (ANGRAU), Guntur 522101, Andhra Pradesh, India)

  • Suresh Chandra Babu

    (International Food Policy Research Institute, Washington, DC 20005, USA)

Abstract

This paper analyzes the impact of a Weather-Based Crop Insurance Scheme (WBCIS) on the Technical Efficiency (TE) of smallholder groundnut farmers in the context of climate change in India. We use Data Envelopment Analysis (DEA) to study the TE of smallholder farmers, which range between 0.58 and 1, with a mean of 0.79. Using the Propensity Score Matching (PSM) technique, we find that the TE of smallholder farmers improves when they participate in a WBCIS using three matching methods. Increasing the coverage of farmers under a WBCIS can help in reducing smallholder farmers vulnerability to climate change.

Suggested Citation

  • K. Nirmal Ravi Kumar & Suresh Chandra Babu, 2021. "Can a Weather-Based Crop Insurance Scheme Increase the Technical Efficiency of Smallholders? A Case Study of Groundnut Farmers in India," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9327-:d:617685
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    1. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.
    2. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Pierluigi Toma, 2020. "Size and productivity: a conditional approach for Italian pharmaceutical sector," Journal of Productivity Analysis, Springer, vol. 54(1), pages 1-12, August.
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