Moving towards sustainable development in China's rural counties: Ecological efficiency evaluation based on DEA-Malmquist-Tobit model

被引:19
作者
Jiang, Yaqin [1 ]
Liu, Xincong [6 ]
Yang, Liping [2 ]
Hu, Tianzi [3 ]
Pan, Hengyu [2 ]
Luo, Huawei [1 ]
Han, Wenyi [4 ]
Xiao, Shijiang [5 ]
机构
[1] Sichuan Agr Univ, Coll Management, Chengdu Campus, Chengdu 611130, Sichuan, Peoples R China
[2] Sichuan Agr Univ, Coll Environm Sci, Chengdu Campus, Chengdu 611130, Sichuan, Peoples R China
[3] Beijing Univ Agr, Sch Landscape Architecture, Beijing 102206, Peoples R China
[4] Univ Hong Kong, Dept Geog, Pokfulam Rd, Hong Kong, Peoples R China
[5] Shanghai Jiao Tong Univ, SJTU UNIDO Joint Inst Inclus & Sustainable Ind Dev, Sch Int & Publ Affairs, Shanghai 200030, Peoples R China
[6] Xihua Univ, Sch Management, Chengdu 611000, Peoples R China
基金
中国国家自然科学基金;
关键词
Eco-efficiency; Data envelopment analysis; Poverty alleviation; Malmquist index; Optimal pathways; DATA ENVELOPMENT ANALYSIS; REGIONAL ECO-EFFICIENCY; SLACKS-BASED MEASURE; SUPER-EFFICIENCY; ECONOMIC-DEVELOPMENT; POVERTY ALLEVIATION; INDUSTRIAL SECTORS; ECOSYSTEM SERVICES; PERSPECTIVE; GROWTH;
D O I
10.1016/j.jclepro.2024.141093
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Poverty eradication and ecological protection play a fundamental role in achieving the Sustainable Development Goals. The two issues are paid great attention to in China and are generally intertwined in impoverished rural areas where ecosystems are heavily relied on. The current measures to end poverty depend on the local willingness and lack of adequate consideration of ecological performance, resulting in significant tradeoffs. In this context, this study proposes a framework integrating static and dynamic eco-efficiency evaluation based DEAMalmquist-Tobit model by taking on 25 key assisted counties in southwest China as cases. Besides, it offers a value -based ecological development index (EDI), aiming to provide a more scientific basis for exploring optimizing pathways for achieving the co -benefits of poverty alleviation and ecological protection. The results reveal that the average annual static eco-efficiency of 8 counties and dynamic eco-efficiency of 17 counties is > 1 during 2000-2020, while there is a noticeable decrease in eco-efficiency in most studied counties during 2005-2010. Improving infrastructure and industrial structures can increase static eco-efficiency. Promoting technological progress in economic development increases dynamic eco-efficiency. The range of the EDI has increased more than 10 times during the studied periods, indicating the increase in the economy of the studied counties is over that of the cost of pollution treatment. Improving market transactions is identified as the optimal pathway to achieve the co -benefit. Finally, the policy implications are proposed, including promoting investment in social capital, optimizing resource allocation, and establishing a multi -government department cooperative development system.
引用
收藏
页数:12
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