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Year : 2023, Volume : 68, Issue : 1
First page : ( 409) Last page : ( 415)
Print ISSN : 0424-2513. Online ISSN : 0976-4666. Published online : 2023 March 21.
Article DOI : 10.46852/0424-2513.1.2023.8

Decomposition analysis of dynamic changes in aggregate crop revenue in kymore plateau agro-climatic zone of Madhya Pradesh

Chaturvedi Poonam*, Vani Gourav Kumar, Rajput Ankita

Department of Agricultural Economics, Jawaharlal Nehru Krishi Vishwavidyalaya, Jabalpur, Madhya Pradesh, India

*Corresponding author: 26poonamchaturvedi@gmail.com (ORCID ID: 0000-0002-1453-835X)

Online Published on 21 October, 2023.

Received:  19  November,  2022; :  28  ,  2023; Accepted:  06  ,  2023.

Abstract

The study attempted to analyze the dynamic changes in the value of aggregate crop revenue by using Logarithmic Mean Divisia Index (LMDI) decomposition approach. Five districts of the Kymore plateau agro-climatic zone of Madhya Pradesh, i.e. Jabalpur, Katni, Panna, Satna & Sidhi were selected in the study for the period from 2007–08 to 2016–17. In the study the aggregate crop revenue was decomposed into the area, price, cropping pattern and yield effect. The results revealed more inclination of the farmers in Jabalpur district towards cereal crops, while in Panna and Katni districts; more inclination was observed towards oilseeds. Relative change for almost all the crops was negative in the Sidhi district except for wheat, gram and tur. The study revealed that in the agro-climatic zone, during the study period yield effect was the predominant factor, followed by price effect except for Jabalpur district, where price effect was dominant, followed by yield effect. Amid the different effects, cropping pattern effect had the most minuscule contribution in the agro-climatic zone.

Highligshts

• The paper studies dynamic changes in value of aggregate crop revenue of five districts of Kymore plateau agro-climatic zone of Madhya Pradesh for a period from 2007-08 to 2016-17.

• Logarithmic Mean Divisia Index (LMDI) decomposition approach had been used in the study

• The key components of aggregate crop revenue that emerged in the study were yield and price effects.

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Keywords

Agricultural output, Decomposition analysis, Area, Yield, Price, Cropping pattern.

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