Evaluating the Impact of PM-KISAN Scheme on Farmer's Income and Expenditure: Evidence from Bundelkhand

This study evaluated the impact of the PM-KISAN scheme on the most backward Bundelkhand region of India. It was important that this region suffered from adverse agro-climatic conditions, and farmers face frequent droughts. This study aimed to examine the impact of the PM-KISAN scheme on farm income, cost of cultivation, and input expenditure. This study used field survey data for the impact assessment collected from two districts of the Bundelkhand region in 2022. The sample household contained 272 beneficiaries as the treatment group and 54 non-beneficiary farm households as the control group. For the policy impact estimation, the propensity score matching and regression adjustment methods were used, and it was found that the scheme had a positive and significant impact on input expenditure, cost of cultivation, and agricultural income.

Publication Details

Journal
Indian Journal of Economics and Development
Published
2025-02-26
DOI
https://doi.org/10.35716/ijed-23557
Citations
1
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
4.83
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article

Evaluating the Impact of PM-KISAN Scheme on Farmer's Income and Expenditure: Evidence from Bundelkhand

1 citations
Indian Journal of Economics and Development
Agricultural Economics and Practices
4.83
article

Evaluating the Impact of PM-KISAN Scheme on Farmer's Income and Expenditure: Evidence from Bundelkhand

article en
1 citations

Abstract

This study evaluated the impact of the PM-KISAN scheme on the most backward Bundelkhand region of India. It was important that this region suffered from adverse agro-climatic conditions, and farmers face frequent droughts. This study aimed to examine the impact of the PM-KISAN scheme on farm income, cost of cultivation, and input expenditure. This study used field survey data for the impact assessment collected from two districts of the Bundelkhand region in 2022. The sample household contained 272 beneficiaries as the treatment group and 54 non-beneficiary farm households as the control group. For the policy impact estimation, the propensity score matching and regression adjustment methods were used, and it was found that the scheme had a positive and significant impact on input expenditure, cost of cultivation, and agricultural income.

Indian Journal of Economics and Development
Openalex Percentile: Top 8%
Agricultural Economics and Practices
4.83
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