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Article type: Research Article
Authors: Liu, Fana; c | Luo, Muchend; * | Zhang, Yingyana | Zhou, Shulinga | Wu, Xuea | Lin, Aiyonga | Guo, Yuxiaa | Liu, Conghua; b
Affiliations: [a] School of Business, Suzhou University, Suzhou, China | [b] School of Economics and Management, Tsinghua University, Beijing, China | [c] School of Economics, Anhui University, Hefei, China | [d] School of Management, Suzhou University, Suzhou, China
Correspondence: [*] Corresponding author. Muchen Luo, School of Management, Suzhou University, Suzhou 234000, China. Tel.: 1 595 570 5701; E-mail: luomuchen6666@163.com.
Abstract: This study aims to improve regional agricultural production efficiency and promote sustainable agricultural development by presenting a data-driven evaluation method for regional agricultural production efficiency. Based on data collection and processing of regional agricultural input-output factors in Anhui Province, China, from 2014 to 2019, a data envelopment analysis Malmquist model is constructed for data modeling. Static analysis of regional agricultural production efficiency and production redundancy is conducted, and the dynamic change of regional agricultural production efficiency is measured. The results show that technical efficiency is the core driving factor for improving regional agricultural production efficiency. The findings indicate significant policy implications for improving agricultural production efficiency from the perspective of regional agricultural high-quality development. This study provides theoretical and methodological support for the sustainable development of regional agriculture.
Keywords: Data-driven, agricultural production efficiency, sustainable development, agricultural technical efficiency, high-quality development
DOI: 10.3233/JIFS-220052
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 7765-7778, 2022
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