Decoupling Relationship Between Human Well-being and Natural Consumption and Its Influence Factors in China's Regions
Li Huihua1, Yuan Jianhong2,3, Feng Jifang2,3
1.Dongwu School of Business,Soochow University,Suzhou 215012,China; 2.School of Marxism,Southeast University,Nanjing 211189,China; 3.Institute of Socialism Development with Chinese Characteristics,Southeast University,Nanjing 211189,China
Abstract：The realization of decoupling between human well-being level and natural consumption is fundamental to the sustainable development of Chinese society and economy.On the basis of the decoupling model of Tapio,this paper analyzes the decoupling relationship between human well-being and natural consumption for 31 regions in China,and then investigates its influence factors.The finding shows that during the Tenth Five-Year-Plan,15 regions have the state of strong decoupling,while the remaining 16 regions have positive growth speeds of natural consumption,in which 9 regions' growth speeds of natural consumption are larger than that of their human well-being.During the Eleventh Five-Year-Plan,25 regions have the state of strong decoupling,while the remaining 6 regions have positive growth speed of natural consumption,in which one region's growth speed of natural consumption is larger than that of its human well-being.During the Twelfth Five-Year-Plan,28 regions have the state of strong decoupling,while the remaining three regions have positive growth speeds of natural consumption,where two regions' growth speeds of natural consumption are larger than that of their human well-being.In the relationship between regional human welfare and natural consumption in China,technological effects play a driving role,while service effects play an inhibitory role.
李慧华, 袁健红, 冯吉芳. 中国区域人类福利与自然消耗脱钩关系及其影响因素研究[J]. 中国科技论坛, 2018(3): 135-142.
Li Huihua, Yuan Jianhong, Feng Jifang. Decoupling Relationship Between Human Well-being and Natural Consumption and Its Influence Factors in China's Regions. , 2018(3): 135-142.
[1]DALY H E.Economics in afull world[J].Scientific American,2005,293(3):100-107. [2]诸大建,张帅.生态福利绩效及其与经济增长的关系研究[J].中国人口·资源与环境,2014,24(9):59-67. [3]VEHMAS J,KAIVO-OJA J,LUUKKANEN J.Comparative de-link and re-link analysis of material flows in EU-15 member countries[C].Wuppertal:Con Account Conference,2003. [4]赵兴国,潘玉君,赵庆由,等.科学发展视角下区域经济增长与资源环境压力的脱钩分析——以云南省为例[J].经济地理,2011,31(7):1196-1201. [5]AYRES R U,AYRES L W,WARR B.Energy,power and work in the US economy,1900—1998[J].Energy,2003,28(3):219-273. [6]TAPIO P.Towards a theory of decoupling:degrees of decoupling in the EU and the ease of road traffic in Finland between 1970 and 2001[J].Transport policy,2005,12(2):137-151. [7]牛彤,袁长举,牛冲槐,程丽娟.基于弹性脱钩的中国经济增长与能源消费脱钩关系研究[J].科技管理研究,2015(18):236-240. [8]杨振华,苏维词,赵卫权.岩溶地区水资源与经济发展脱钩分析[J].经济地理,2016(10):159-165. [9]刘惠敏.中国经济增长与能源消耗的脱钩——东部地区的时空分异研究[J].中国人口资源与环境,2016,26(12):157-163. [10]CLIMENT F,PARDO A.Decoupling factors on the energy-output linkage:the Spanish case[J].Energy policy,2007,35(1):522-528. [11]王淑纳.山东省碳排放与经济增长的脱钩关系及驱动因素[J].科技管理研究,2014(16):242-248. [12]李晨,迟萍,邵桂兰.中国远洋渔业碳排放与行业经济增长的响应关系研究——基于脱钩理论与 LMDI 分解的实证分析[J].科技管理研究,2016,36(6):233-237. [13]史常亮,郭焱,占鹏,朱俊峰.中国农业能源消费碳排放驱动因素及脱钩效应[J].中国科技论坛,2017(1):136-143. [14]刘年康,汪云桥,皮天雷.环境污染与经济增长的脱钩分析:来自中国1990—2010年省际面板数据的检验[J].开发研究,2012(5):60-62. [15]郭承龙,张智光.污染物排放量增长与经济增长脱钩状态评价研究[J].地域研究与开发,2013,32(3):94-98+114. [16]夏勇,钟茂初.经济发展与环境污染脱钩理论及 EKC 假说的关系——兼论中国地级城市的脱钩划分[J].中国人口资源与环境,2016,26(10):8-16. [17]杨爱婷,宋德勇.中国社会福利水平的测度及对低福利增长的分析——基于功能与能力的视角[J].数量经济技术经济研究,2012(11):3-17. [18]臧漫丹,诸大建,刘国平.生态福利绩效:概念、内涵及G20实证[J].中国人口.资源与环境,2013,23(5):118-124. [19]OECD.Indicators tomeasure decoupling of environmental pressure from economic growth[R].Paris:OECD,2002. [20]苑清敏,邱静,秦聪聪.天津市经济增长与资源和环境的脱钩关系及反弹效应研究[J].资源科学,2014,36(5):954-962. [21]WACKERNAGEL M,ONISTO L,PATRICIA B,et al.National nature capital accounting with the ecological footprint concept[J].Ecological economics,1999,29(3):375-390. [22]何强,吕光明.福利测度方法的研究述评[J].财经问题研究,2009(7):31-36. [23]DIETZ T,ROSA E A,YORK R.Environmentally efficient well-being:Is there a Kuznets curve[J].Applied geography,2012,32(1):21-28. [24]王洪波.基于改进型生态足迹模型的北京市生态足迹分析与评价[D].北京:首都经济贸易大学,2013.
2018, 
