Changing land use and crop dynamics in bifurcated Andhra Pradesh

This study investigates shifts in land use patterns and cropping dynamics in Andhra Pradesh over recent decades. Factors like economic liberalization, policy changes, and environmental challenges have affected traditional farming practices and crop diversity. Statistical methods like Composite Entropy Index (CEI), Herfindahl Index (HI), Double Log model, and Markov Chain Analysis were applied to examine crop diversification, the driving factors behind diversification, and the dynamics of cropping patterns in the state. The study also examined trend in crop shifts, irrigation practices, and land use transformation, particularly in the context of state bifurcation in Andhra Pradesh state. Findings reveal that irrigation access, landholding size, and credit availability play significant role in crop diversification, while market demand and environmental factors influence land use changes. Additionally, the Markov Chain Analysis highlights cropping sequence preferences, with an emphasis on shift un cropping pattern.

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Publication Details

Journal
International Journal of Agriculture Extension and Social Development
Published
2025-02-01
DOI
https://doi.org/10.33545/26180723.2025.v8.i2b.1622
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

Changing land use and crop dynamics in bifurcated Andhra Pradesh

Govindaraju Govindaraju, KJVK Sirisha, Idupulapati Madhusudana Rao, K. M. Pravalika et al.
International Journal of Agriculture Extension and Social Development
Agricultural Economics and Practices
article

Changing land use and crop dynamics in bifurcated Andhra Pradesh

Govindaraju Govindaraju, KJVK Sirisha, Idupulapati Madhusudana Rao, K. M. Pravalika, Y. Radha
article en

Abstract

This study investigates shifts in land use patterns and cropping dynamics in Andhra Pradesh over recent decades. Factors like economic liberalization, policy changes, and environmental challenges have affected traditional farming practices and crop diversity. Statistical methods like Composite Entropy Index (CEI), Herfindahl Index (HI), Double Log model, and Markov Chain Analysis were applied to examine crop diversification, the driving factors behind diversification, and the dynamics of cropping patterns in the state. The study also examined trend in crop shifts, irrigation practices, and land use transformation, particularly in the context of state bifurcation in Andhra Pradesh state. Findings reveal that irrigation access, landholding size, and credit availability play significant role in crop diversification, while market demand and environmental factors influence land use changes. Additionally, the Markov Chain Analysis highlights cropping sequence preferences, with an emphasis on shift un cropping pattern.

International Journal of Agriculture Extension and Social DevelopmentVol. 8(2)
Acharya N. G. Ranga Agricultural University (IN)
Zero hunger
Openalex Percentile: Top 96%
Agricultural Economics and Practices
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