Projected Productivity of Cash Crops in Different Climate Change Scenarios in India

Finance & Economics Review

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Field Value
 
Title Projected Productivity of Cash Crops in Different Climate Change Scenarios in India
 
Creator Singh , Ajay K.
Jyoti, Bhim
 
Subject Crop yield; Climate change; Cobb-Douglas production function; India; Marginal impact analysis technique.
 
Description Purpose: This study assesses the impact of climatic and geographical factors on the yield of potato, cotton, groundnut, sesame, linseed, sugarcane, rapeseed & mustard, and sunflower seeds using state-wise panel data in India during 1971-2013. Thereupon, it estimates the expected yield of aforesaid crops in different climate change scenarios.
Methods: Cobb-Douglas production function model is used to estimate the regression coefficients of climatic and geographical factors with the yield of aforesaid crops.
Results: The empirical result shows that maximum temperature, minimum temperature, rainfall, and precipitation have a significant impact on the yield of potato, groundnut, sesame, linseed, sugarcane, rapeseed & mustard, sunflower seeds. The projected results indicate that yield of sesame, linseed, rapeseed & mustard, potato, and cotton crops may decline by 0.16%, 0.83%, 5.65%, 14.68%, and 23.31% respectively due to one unit change in average maximum and minimum temperature, actual precipitation, and rainfall during crop seasons.
Implications: The Agriculture department of the government should encourage farmers to implement crop-specific policies to mitigate the negative impact of climate change in agriculture.   
Limitations: Application of fertilizer, quality of seeds, cost of cultivation, farm management practices, irrigated area, demographic factors (e.g., population growth, urbanization, industrialization, etc.), and ecosystem services (e.g., water, soil fertility, and land) have a significant impact on the yield of cash crops. However, these variables were not included to predict the yield of cash crops in this study. Thus, this study acknowledged this limitation and existing researchers can incorporate these variables in further study.
 
Publisher Research & Innovation Initiative
 
Date 2021-06-21
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://riiopenjournals.com/index.php/finance-economics-review/article/view/281
10.38157/finance-economics-review.v3i1.281
 
Source Finance & Economics Review; Vol 3 No 1 (2021): Finance & Economics Review; 63-87
2690-4063
10.38157/finance-economics-review.v3i1
 
Language eng
 
Relation https://riiopenjournals.com/index.php/finance-economics-review/article/view/281/115
 
Rights Copyright (c) 2021 Ajay K. Singh , Bhim Jyoti
http://creativecommons.org/licenses/by-nc-nd/4.0
 

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