Article: Evaluation of Hunan Province's agricultural productivity based on the TOPSIS model Journal: International Journal of Environment and Waste Management (IJEWM) 2026 Vol.39 No.5 pp.1 - 18 Abstract: This study evaluates agricultural productivity in Hunan Province using the TOPSIS model, integrating multiple methodologies for a comprehensive assessment of regional development. A five-dimensional evaluation framework is established based on resource endowment, production capacity, agrarian organisation, overall development, and market competitiveness. The model incorporates weights derived from the analytic hierarchy process (AHP), CRITIC, entropy weighting, and game theory to ensure balanced and accurate results. Findings reveal significant regional disparities: Hengyang and Yiyang lead due to favourable agro-ecological conditions and strong industrialisation, while Xiangtan and Zhangjiajie lag due to limited mechanisation and rapid urbanisation. Mechanisation, irrigation, and intensive farmland management emerge as key drivers of agricultural modernisation. The study offers valuable insights into spatial patterns of agricultural productivity and provides policy recommendations for resource allocation, structural optimisation, and rural revitalisation - offering broader implications for other regions facing similar developmental challenges. Inderscience Publishers - linking academia, business and industry through research

Title: Evaluation of Hunan Province's agricultural productivity based on the TOPSIS model

Authors: Zhou Ziying

Addresses: School of Business, Hunan Institute of Engineering, Xiangtan, Hunan 411104, China

Abstract: This study evaluates agricultural productivity in Hunan Province using the TOPSIS model, integrating multiple methodologies for a comprehensive assessment of regional development. A five-dimensional evaluation framework is established based on resource endowment, production capacity, agrarian organisation, overall development, and market competitiveness. The model incorporates weights derived from the analytic hierarchy process (AHP), CRITIC, entropy weighting, and game theory to ensure balanced and accurate results. Findings reveal significant regional disparities: Hengyang and Yiyang lead due to favourable agro-ecological conditions and strong industrialisation, while Xiangtan and Zhangjiajie lag due to limited mechanisation and rapid urbanisation. Mechanisation, irrigation, and intensive farmland management emerge as key drivers of agricultural modernisation. The study offers valuable insights into spatial patterns of agricultural productivity and provides policy recommendations for resource allocation, structural optimisation, and rural revitalisation - offering broader implications for other regions facing similar developmental challenges.

Keywords: agricultural productivity; TOPSIS model; analytic hierarchy process; AHP; entropy weighting; game theory; regional disparities; mechanisation; irrigation; spatial analysis; rural development.

DOI: 10.1504/IJEWM.2026.153434

International Journal of Environment and Waste Management, 2026 Vol.39 No.5, pp.1 - 18

Received: 22 Oct 2025
Accepted: 01 Dec 2025
Published online: 07 May 2026 *

Title: Evaluation of Hunan Province's agricultural productivity based on the TOPSIS model

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