Spatiotemporal characteristics of cultivated land use eco-efficiency and its influencing factors in China from 2000 to 2020

作     者：LI Shaoting MU Na REN Yanjun Thomas GLAUBEN LI Shaoting;MU Na;REN Yanjun;Thomas GLAUBEN

作者机构：College of Economics and ManagementNorthwest A&F UniversityYangling 712100China Sino-German Center for Agricultural and Food EconomicsNorthwest A&F UniversityYangling 712100China Leibniz Institute of Agricultural Development in Transition Economies(IAMO)Halle 06120Germany 

出 版 物：《Journal of Arid Land》 (干旱区科学（英文版）)

年 卷 期：2024年第16卷第3期

页      面：396-414页

核心收录：

学科分类：12[管理学] 1204[管理学-公共管理] 082803[工学-农业生物环境与能源工程] 082802[工学-农业水土工程] 08[工学] 0828[工学-农业工程] 09[农学] 0903[农学-农业资源与环境] 120405[管理学-土地资源管理] 

基　　金：supported by the National Natural Science Foundation of China(72373117) the Chinese Universities Scientific Fund(Z1010422003) the Major Project of the Key Research Base of Humanities and Social Sciences of the Ministry of Education(22JJD790052) the Qinchuangyuan Project of Shaanxi Province(QCYRCXM-2022-145) 

主　　题：cultivated land use eco-efficiency(CLUE) slacks-based measure(SBM)model barycentre model standard deviation ellipse(SDE) panel Tobit model carbon emissions nonpoint source pollution 

摘      要：Improving cultivated land use eco-efficiency(CLUE)can effectively promote agricultural sustainability,particularly in developing countries where CLUE is generally *** study used provincial-level data from China to evaluate the spatiotemporal evolution of CLUE from 2000 to 2020 and identified the influencing factors of CLUE by using a panel Tobit *** addition,given the undesirable outputs of agricultural production,we incorporated carbon emissions and nonpoint source pollution into the global benchmark-undesirable output-super efficiency-slacks-based measure(GB-US-SBM)model,which combines global benchmark technology,undesirable output,super efficiency,and slacks-based *** results indicated that there was an upward trend in CLUE in China from 2000 to 2020,with an increase rate of 2.62%.The temporal evolution of CLUE in China could be classified into three distinct stages:a period of fluctuating decrease(2000-2007),a phase of gradual increase(2008-2014),and a period of rapid growth(2015-2020).The major grain-producing areas(MPAs)had a lower CLUE than their counterparts,namely,non-major grain-production areas(non-MPAs).The spatial agglomeration effect followed a northeast-southwest strip distribution;and the movement path of barycentre revealed aPshape,with Luoyang City,Henan Province,as the *** terms of influencing factors of CLUE,investment in science and technology played the most vital role in improving CLUE,while irrigation index had the most negative *** should be noted that these two influencing factors had different impacts on MPAs and ***,relevant departments should formulate policies to enhance the level of science and technology,improve irrigation condition,and promote sustainable utilization of cultivated land.