[1]郭存芝,黄青.江苏经济增长与资源环境压力的退耦分析[J].常州大学学报(社会科学版),2016,17(05):90.[doi:10.3969/j.issn.2095-042X.2016.05.010]
 Guo Cunzhi,Huang Qing.A Decoupling Analysis of Economic Growth and Resources andEnvironment Pressure in Jiangsu Province[J].Journal of Changzhou University(Social Science Edition),2016,17(05):90.[doi:10.3969/j.issn.2095-042X.2016.05.010]
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江苏经济增长与资源环境压力的退耦分析()
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常州大学学报(社会科学版)[ISSN:2095-042X/CN:32-1821/C]

卷:
第17卷
期数:
2016年05期
页码:
90
栏目:
出版日期:
2016-10-20

文章信息/Info

Title:
A Decoupling Analysis of Economic Growth and Resources andEnvironment Pressure in Jiangsu Province
作者:
郭存芝黄青
Author(s):
Guo CunzhiHuang Qing
关键词:
经济增长 资源环境压力 退耦 江苏
Keywords:
economic growth resources and environment pressure decoupling Jiangsu province
分类号:
F062.2
DOI:
10.3969/j.issn.2095-042X.2016.05.010
文献标志码:
A
摘要:
研究经济增长与资源环境的关系对合理制定节能减排政策,促进经济社会可持续发展有着重要的现实意义。文章基于Tapio退耦指数弹性分析法细化退耦状态,研究江苏2000—2014年经济增长与资源环境压力的关系,用熵权法整合资源消耗指标(能源、电、水)和环境污染指标(工业废水、烟粉尘、SO2、一般工业固体废物)测度资源环境综合压力,深入剖析江苏资源环境整体退耦状态。研究显示:2000—2014年江苏经济增长与资源环境压力呈现逐渐退耦的趋势,而TDI在每个五年规划期中又表现出“两头高、中间低”的周期现象。用水量、废水排放量、SO2排放量得到了很好的控制,大部分年份已经实现绝对退耦; 相反,用电量和工业固体废物的情况不容乐观; 此外,能耗和烟粉尘排放得到了有效控制,其对经济增长的压力逐渐缓和。最后有针对性的提供了决策参考。
Abstract:
The study of the relationship between economic growth and resources and environment has great significance for making reasonable energy-saving policies and promoting the sustainable economic and social development. Based on Tapio elastic analysis method for decoupling indexes to refine the decoupling state, the relationship between economic growth and resources and environment pressure in Jiangsu province from 2000 to 2014 is studied. Using entropy weight method to integrate resource consumption indexes(energy, electricity and water)and pollution indexes(industrial wastewater, dust, sulfur dioxide and general industrial solid waste)and to measure comprehensive resources and environment pressure, the decoupling state of Jiangsu is deeply analyzed. It demonstrates that: Jiangsu shows a gradually decoupling trend of economic growth and resources and environment in 2000-2014, and there is a periodical phenomenon of TDI, that is, high in both ends and low in the middle in every five-year plan. Water consumption, wastewater and sulfur dioxide emission are well controlled and absolute decoupling has been achieved in most of the years. On the contrary, the situations of electricity consumption and industrial solid waste are not optimistic. In addition, energy consumption and dust have been effectively controlled and their pressure on economic growth is eased gradually. Finally, targeted decision-making reference is provided.

参考文献/References:

[1]赵伟肖.基于VAR模型的河北省经济增长与环境污染关系的实证研究[J].河南科学,2014,32(11):2403-2406.
[2]平卫英.基于MFA的中国环境压力测度及影响因素分析[J].统计与决策,2015(19):101-104.
[3]曹光辉,汪锋,张宗益,等.我国经济增长与环境污染关系研究[J].中国人口资源与环境,2006,16(1):25-29.
[4]丁继红,年艳.经济增长与环境污染关系剖析—以江苏省为例[J].南开经济研究,2010(2):64-79.
[5]王崇梅.中国经济增长与能源消耗脱钩分析[J].中国人口资源与环境,2010,20(3):35-37.
[6]郭守前,马珍珍.中国经济增长与能源消耗脱钩关系研究[J].统计与决策,2012(13):133-135.
[7]吴丹.中国经济发展与水资源利用脱钩态势评价与展望[J].自然资源学报,2014,29(1):46-54.
[8]游海霞,岳金桂.江苏省水资源利用与经济发展脱钩分析[J].水利经济,2015,33(6):7-13.
[9]李忠民,姚宇,庆东瑞.产业发展、GDP增长与二氧化碳排放脱钩关系研究[J].统计与决策,2012(11):108-111.
[10]盖美,曹桂艳,田成诗,等.辽宁沿海经济带能源消费碳排放与区域经济增长脱钩分析[J].资源科学,2014,36(6):1267-1277.
[11]齐绍洲,林屾,王班班.中部六省经济增长方式对区域碳排放的影响—基于Tapio脱钩模型、面板数据的滞后期工具变量法的研究[J].中国人口资源与环境,2015,25(5):59-66.
[12]王虹,王建强,赵涛.我国经济发展与能源、环境的“脱钩”“复钩”轨迹研究[J].统计与决策,2009(11):113-115.
[13]龚惠萍,管璇,刘晨明.武汉市工业经济增长与碳排放脱钩关系的实证分析[J].统计与决策,2013(21):105-108.
[14]王君华,李霞.中国工业行业经济增长与CO2排放的脱钩效应[J].经济地理,2015,35(5):105-110.
[15]尹敬东,穆明娟,周兵.能源消耗、碳排放与经济增长的脱钩:来自江苏的证据[J].南京财经大学学报,2012(1):6-11.
[16]李旭光.吉林省环境保护对经济发展的影响—基于制造业动态面板数据的实证研究[J].南京财经大学学报,2013(4):21-27.
[17]刘长生,郭小东,简玉峰.能源消费对中国经济增长的影响研究—基于线性与非线性回归方法的比较分析[J].产业经济研究,2009(1):1-9.
[18]VEHMAS J, KAIVO-OJA J, LUUKKANEN J.Global trends of linking environmental stress and economic growth[R].Turku:Finland Futures Research Centre,2003:1-25.
[19]OECD.Indicators to measure decoupling of environmental pressure from economic growth [R].Paris: OECD, 2001.
[20]TAPIO P.Towards a theory of decoupling:Degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001[J].Transport Policy,2005,12(2):137-151.
[21]陆钟武,王鹤鸣,岳强.脱钩指数:资源消耗、废物排放与经济增长的定量表达[J].资源科学,2011,33(1):2-9.
[22]黄和平,彭小琳.南昌市1991年至2010年“两型城市”发展的定量表达及其解析[J].资源科学,2012,34(10):1972-1979.

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备注/Memo

备注/Memo:
作者简介:郭存芝,南京财经大学经济学院教授,硕士生导师; 黄青,南京财经大学经济学院硕士研究生。基金项目:江苏省2015年度普通高校研究生科研创新计划项目(KYZZ15_0275)。
更新日期/Last Update: 2016-10-10