Data-driven evaluation of regional agricultural production efficiency for sustainable development

被引：2
|
作者：
Liu, Fan [1 ,3 ]
Luo, Muchen [4 ]
Zhang, Yingyan [1 ]
Zhou, Shuling [1 ]
Wu, Xue [1 ]
Lin, Aiyong [1 ]
Guo, Yuxia [1 ]
Liu, Conghu [1 ,2 ]
机构：
[1] Suzhou Univ, Sch Business, Suzhou, Peoples R China
[2] Tsinghua Univ, Sch Econ & Management, Beijing, Peoples R China
[3] Anhui Univ, Sch Econ, Hefei, Peoples R China
[4] Suzhou Univ, Sch Management, Suzhou 234000, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2022年 / 43卷 / 06期
关键词：
Data-driven; agricultural production efficiency; sustainable development; agricultural technical efficiency; high-quality development; DECISION;
D O I：
10.3233/JIFS-220052
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：7765 / 7778
页数：14
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