Spatio-temporal characteristics and typical patterns of eco-efficiency of cultivated land use in the Yangtze River Economic Belt, China

作     者：KE Xinli ZHANG Ying ZHOU Ting KE Xinli;ZHANG Ying;ZHOU Ting

作者机构：College of Public AdministrationHuazhong Agricultural UniversityWuhan 430070China 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2023年第33卷第2期

页      面：357-372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] 07[理学] 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] 0713[理学-生态学] 

基　　金：Post-finance Project for National Social Science,No.19FGLB071 Post-finance Project for Philosophy and Social Sciences of the Ministry of Education,No.18JHQ081 Outsourcing Project of China Land Surveying and Planning Institute,No.20211811113 Youth Foundation of Ministry of Education Humanities and Social Sciences Research,No.21YJC630182 

主　　题：ecological efficiency cultivated land use super-efficiency SBM carbon emissions classification Yangtze River Economic Belt,China 

摘      要：Identifying the dynamics of the eco-efficiency of cultivated land use(ECLU)is important to balance food security and environmental *** Yangtze River Economic Belt(YREB)is a vital region of national strategic development in ***,the spatio-temporal characteristics and typical patterns of the ECLU in the YREB remain *** study aims to reveal the spatio-temporal characteristics of the ECLU by using the super-efficiency slack-based measure(SBM)and a spatial autocorrelation *** typical patterns of the ECLU were classified based on a decision tree *** results indicate that the overall ECLU increased from 0.78 to 0.87 from 2000 to 2019,dropping sharply in 2003 before rising *** reaches had similar *** local indicators of spatial association(LISA)cluster reflect that the spatial distributions of high-high and low-low agglomeration varied dramatically among these *** ECLU was divided into three typical patterns considering the restriction of agrochemicals and water resources(RAW),cultivated land and agrochemicals(RCA),as well as technology(RT).Most cities belonged to the low ECLU category in RT *** understanding the spatio-temporal characteristics and classification of the ECLU will provide a reference for decision-makers to improve the ECLU in different regions.