Factors Affecting Farm Income and Climate Adaptation Strategies in the Farming Sector of Gujarat State of India

Abstract

This study observed the effect of climatic factors, social-economic profile of agriculturists, appropriate technology, climate adaptation strategy (CAS), and development institutions on farm income Ha-1 in Gujarat using a log-linear regression model. Euler's theorem was used to observe the expected farm income Ha-1 by the years of 2040s, 2060s, 2080s, and 2100s. Logit and probit regression models were also employed to assess the CAS affecting factors. The results indicated that farm income Ha-1 decreases as marginal increase in climatic variables. The results based on Euler's theorem showed that farm income Ha-1 may decline by 12.01%, 17.22%, 22.80%, and 28.66% by the years of 2040s, 2060s, 2080s, and 2100s, respectively. It highlighted that farmers' CAS were significantly associated with family size, yearly income, total arable land, income from cash crops, financial support from government, agricultural development institutions, collaboration with different stakeholders, and skills and technical support from technology developers.