Can climate change influence agricultural GTFP in arid and semi-arid regions of Northwest China?
气候变化能在西北中国的干旱、半干旱的区域影响农业 GTFP 吗?作者机构:School of EconomicsOcean University of ChinaQingdao 266100China Institute of Marine DevelopmentOcean University of ChinaQingdao 266100China School of Foreign LanguagesOcean University of ChinaQingdao 266100China Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China University of Chinese Academy of SciencesBeijing 100049China
出 版 物:《Journal of Arid Land》 (干旱区科学(英文版))
年 卷 期:2020年第12卷第5期
页 面:837-853页
核心收录:
基 金:the National Natural Science Foundation of China(71974176,71473233) the Chinese Academy of Sciences(CAS)"Light of West China"Program(2018-XBQNXZ-B-017) the High Level Talent Introduction Project of Xinjiang Uygur Autonomous Region(Y942171) the"High Talents Program of Xinjiang Institute of Ecology and Geography,CAS"(Y871171)
主 题:climate change agricultural GTFP Super-slacks-based measure(Super-SBM)model Geodetector CO2 emissions arid regions semi-arid regions
摘 要:There are eight provinces and autonomous regions(Gansu Province,Ningxia Hui Autonomous Region,Xinjiang Uygur Autonomous Region,Inner Mongolia Autonomous Region,Tibet Autonomous Region,Qinghai Province,Shanxi Province,and Shaanxi Province)in Northwest China,most areas of which are located in arid and semi-arid regions(northwest of the 400 mm precipitation line),accounting for 58.74%of the country s land area and sustaining approximately 7.84×10^6 *** of drought conditions and fragile ecology,these regions cannot develop agriculture at the expense of the *** the challenges of global warming,the green total factor productivity(GTFP),taking CO2 emissions as an undesirable output,is an effective index for measuring the sustainability of agricultural *** GTFP can be influenced by both internal production factors(labor force,machinery,land,agricultural plastic film,diesel,pesticide,and fertilizer)and external climate factors(temperature,precipitation,and sunshine duration).In this study,we used the Super-slacks-based measure(Super-SBM)model to measure agricultural GTFP during the period 2000-2016 at the regional *** results show that the average agricultural GTFP of most provinces and autonomous regions in arid and semi-arid regions underwent a fluctuating increase during the study period(2000-2016),and the fluctuation was caused by the production factors(input and output factors).To improve agricultural GTFP,Shaanxi,Shanxi,and Gansu should reduce agricultural labor force input;Shaanxi,Inner Mongolia,Gansu,and Shanxi should decrease machinery input;Shaanxi,Inner Mongolia,Xinjiang,and Shanxi should reduce fertilizer input;Shaanxi,Xinjiang,Gansu,and Ningxia should reduce diesel input;Xinjiang and Gansu should decrease plastic film input;and Gansu,Shanxi,and Inner Mongolia should cut pesticide *** output agricultural earnings should be increased in Qinghai and Tibet,and undesirable output(CO2 emissions)should be