Open Access

Farmer's Perception on Climatic Factors and Social-economic Characteristics in the Agricultural Sector of Gujarat

Ajay Kumar Singh

School of Liberal Arts and Management, DIT University, Dehradun, Uttarakhand, 248009, India

Shah Nawaz Ashraf

Entrepreneur Academy, Mohammed VI Polytechnic University, Ben Guerir, 43150, Morocco

Sandeep Kumar Sharma

School of Liberal Arts and Management, DIT University, Dehradun, Uttarakhand, 248009, India

DOI: https://doi.org/10.36956/rwae.v4i1.788

Received: 22 December 2022; Published: 6 March 2023

Copyright © 2023 Ajay Kumar Singh, Shah Nawaz Ashraf, Sandeep Kumar Sharma. Published by Nan Yang Academy of Sciences Pte. Ltd..

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


Abstract

This study investigated the implication of various factors, including climatic conditions, social-economic variables, agricultural inputs, technological development, institutional support, and adaptation strategies in the agricultural sector of Gujarat. A confirmatory factor analysis (CFA) was used to analyse the farm-level data from 240 randomly selected farmers across eight districts. The study found that farm income per hectare is influenced by climate adaptation strategies, appropriate technology, annual income, education level, family size, fertilizer application, farm income from cash crops, financial support from the government, and access to credit. The study recommends the use of appropriate technology and adaptation strategies to mitigate the negative impact of climate change, as well as increase farmers' access to credit, diversify crops, and encourage technological development in the agricultural sector. In addition, agricultural extension and development agencies should train farmers regularly to improve their understanding of climate adaptation practices and other inputs.

Keywords: Agricultural sector, Appropriate technology, Climate change, Farm income, Adaptation strategies


References

Online ISSN: 2737-4777, Print ISSN: 2737-4785, Published by Nan Yang Academy of Sciences Pte. Ltd.