Does Non-Farm Income Raise Farm Productivity? New Evidence from India

On the face of various agro-climatic shocks, farmers often resort to non-farm activities as a coping mechanism for attaining sustainable livelihood. While the impact of non-farm income on farm productivity is well documented in the literature, we contribute to the literature by exploring the possibility of a non-linear impact of non-farm income on farm productivity - differential impact across different types of farmers (small, medium and large) based on their landholding size. We first develop a small theoretical model and establish various channels which could result in non-linearity. For empirical estimation, we use household-level information from eight Indian states based on Village Dynamics in South Asia panel dataset for a period of five years (2010–2014). We adopt an Instrumental Variable Tobit Model to correct for endogeneity of non-farm income arising from unobserved heterogeneity and simultaneity between non-farm income and farm productivity. Our empirical results unveil a U-shaped relationship between non-farm income and farm productivity. This confirms our hypothesis about non-linear impact of non-farm income on farm productivity. Our heterogeneity analysis shows that the impact of non-farm earnings on farm productivity varies with size of landholdings. Policy implications of our empirical results are also discussed.

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Publication Details

Journal
The Journal of Development Studies
Published
2025-03-07
DOI
https://doi.org/10.1080/00220388.2025.2467661
Citations
1
Primary Topic
Agricultural risk and resilience
Type
article
Field-Weighted Citation Impact
1.19
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article

Does Non-Farm Income Raise Farm Productivity? New Evidence from India

Sabuj Kumar Mandal, Anviksha Drall
1 citations
The Journal of Development Studies
Agricultural risk and resilience
1.19
article

Does Non-Farm Income Raise Farm Productivity? New Evidence from India

Sabuj Kumar Mandal, Anviksha Drall
article en
1 citations

Abstract

On the face of various agro-climatic shocks, farmers often resort to non-farm activities as a coping mechanism for attaining sustainable livelihood. While the impact of non-farm income on farm productivity is well documented in the literature, we contribute to the literature by exploring the possibility of a non-linear impact of non-farm income on farm productivity - differential impact across different types of farmers (small, medium and large) based on their landholding size. We first develop a small theoretical model and establish various channels which could result in non-linearity. For empirical estimation, we use household-level information from eight Indian states based on Village Dynamics in South Asia panel dataset for a period of five years (2010–2014). We adopt an Instrumental Variable Tobit Model to correct for endogeneity of non-farm income arising from unobserved heterogeneity and simultaneity between non-farm income and farm productivity. Our empirical results unveil a U-shaped relationship between non-farm income and farm productivity. This confirms our hypothesis about non-linear impact of non-farm income on farm productivity. Our heterogeneity analysis shows that the impact of non-farm earnings on farm productivity varies with size of landholdings. Policy implications of our empirical results are also discussed.

The Journal of Development StudiesVol. 61(9)
Indian Institute of Technology Madras (IN), National Law School of India University (IN)
Openalex Percentile: Top 23%
Agricultural risk and resilience
1.19
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