[1]姜国刚,李利亭.长三角石化产业碳排放效率评价及其影响因素[J].常州大学学报(社会科学版),2021,22(03):52-58.[doi:10.3969/j.issn.2095-042X.2021.03.006]
　Jiang Guogang,Li Liting.Evaluation of Carbon Emission Efficiency of Petrochemical Industry and Its Influencing Factors in the Yangtze River Delta[J].Journal of Changzhou University(Social Science Edition),2021,22(03):52-58.[doi:10.3969/j.issn.2095-042X.2021.03.006]
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长三角石化产业碳排放效率评价及其影响因素()
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常州大学学报(社会科学版)[ISSN:2095-042X/CN:32-1821/C]

卷:
第22卷
期数:
2021年03期
页码:
52-58
栏目:
石化经济系列研究
出版日期:
2021-05-28

文章信息/Info

Title:
Evaluation of Carbon Emission Efficiency of Petrochemical Industry and Its Influencing Factors in the Yangtze River Delta
作者:
姜国刚; 李利亭
Author(s):
Jiang Guogang; Li Liting
关键词:
长三角;  石化产业;  碳排放效率
Keywords:
the Yangtze River Delta;  petrochemical industry;  carbon emission efficiency
分类号:
F205
DOI:
10.3969/j.issn.2095-042X.2021.03.006
文献标志码:
A
摘要:
选择长三角石化产业相对集中的13市为研究对象,利用2010—2018年石化产业面板数据,运用超效率SBM模型测算产业碳排放效率,运用Tobit模型分析碳排放效率的影响因素,得出以下研究结论:第一,考察期内,长三角13市石化产业碳排放效率呈现波动变化趋势,并且城市间碳排放效率差异明显。第二,人均主营业务收入、城镇化率对碳排放效率均有显著的正向促进作用; 能源消费强度、能源结构、要素禀赋结构与碳排放效率呈负相关; 产业聚集对碳排放效率具有积极作用但影响不显著。基于上述结论,提出长三角石化产业应当通过推进产业技术创新、推动产业聚集、加强政府监督、制定差异化碳减排政策等措施提升碳排放效率。
Abstract:
Taking 13 cities where petrochemical industry clusters in the Yangtze River Delta as research objects, based on the panel data of petrochemical industry from 2010 to 2018, by using the super efficiency SBM model to evaluate the industrial carbon emission efficiency and Tobit model to analyze its influencing factors, it is found out that, first, during the period from 2010 to 2018, the carbon emission efficiency of petrochemical industry in the 13 cities shows a trend of fluctuation, and there are obvious differences in the carbon emission efficiency in these cities. Second, per capital prime operating revenue and the urbanization rate play a significant positive role in improving carbon emissions efficiency; energy consumption intensity, energy structure, and factor endowment structure have significant negative impacts on carbon emission efficiency; industrial agglomeration plays a positive but not significant role in carbon emission efficiency. Accordingly, carbon emission efficiency of petrochemical industry in the Yangtze River Delta should be improved by enhancing industrial technology innovation, promoting industrial agglomeration, strengthening government supervision and making differentiation carbon emission reduction policies, etc.

参考文献/References:

[1]MIELNIK O,GOLDEMBERG J.Communication the evolution of the“carbonization index”in developing countries [J].Energy policy,1999,27(5):307-308.
[2]SUN J W.The decrease of CO2 emission intensity is decarbonization at national and global levels[J].Energy policy,2005,33(8):975-978.
[3]STRETESKY P B,LYNCH M J.A cross-national study of the association between per capita carbon dioxide emissions and exports to the United States[J].Social science research,2009,38(1):239-250.
[4]ANG B W.Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?[J].Energy policy,1999,27(15):943-946.
[5]RAMANATHAN R.Combining indicators of energy consumption and CO2 emissions:a cross-country comparison[J].International journal of global energy issues,2002,17(3):214.
[6]姜国刚,朱俊伟,阮婉妮,等. 江苏石油化工产业转型升级进程中绿色竞争力提升对策研究[M]. 长春:吉林大学出版社,2019.
[7]廖果平,王云婷.长三角城市群环境治理绩效测算及影响因子分析[J].常州大学学报(社会科学版),2020,21(2):70-78.
[8]姜国刚,阮婉妮,郭铁军.基于三阶段DEA的江苏石化产业碳排放效率分析[J].环境科学与技术,2019,42(3):172-179.
[9]LIU W B,MENG W,LI X X,et al.DEA models with undesirable inputs and outputs[J].Annals of operations research,2010,173(1):177-194.
[10]ZHANG J R,ZENG W H,WANG J N,et al.Regional low-carbon economy efficiency in China:analysis based on the Super-SBM model with CO2 emissions[J].Journal of cleaner production,2017,163:202-211.
[11]王卫星,王亚萍.石油化工行业绿色创新效率及其影响因素研究[J].常州大学学报(社会科学版),2020,21(4):51-61.
[12]汪中华,于孟君.中国石化行业二氧化碳排放的影响因素分解:基于广义迪氏指数分解法[J].科技管理研究,2019,39(24):268-274.
[13]刘晓燕.基于STIRPAT模型的工业能源消费碳排放影响因素分析[J].生态经济,2019,35(3):27-31.
[14]田云,王梦晨.湖北省农业碳排放效率时空差异及影响因素[J].中国农业科学,2020,53(24):5063-5072.
[15]袁长伟,张帅,焦萍,等.中国省域交通运输全要素碳排放效率时空变化及影响因素研究[J].资源科学,2017,39(4):687-697.
[16]任保全,董也琳.基于Malmquist生产率测度的长三角石油石化产业发展效率评价研究[J].科技管理研究,2017,37(13):57-63.
[17]张坚.长三角石化产业碳排放绩效区域分异的动态实证研究[J].社会科学,2016(6):54-62.
[18]TONE K.A slacks-based measure of efficiency in data envelopment analysis[J].European journal of operational research,2001,130(3):498-509.
[19]张立新,朱道林,杜挺,等.基于DEA模型的城市建设用地利用效率时空格局演变及驱动因素[J].资源科学,2017,39(3):418-429.

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备注/Memo

备注/Memo:
作者简介:姜国刚,经济学博士,常州大学经济学院教授、硕士研究生导师,江苏能源战略研究基地研究人员; 李利亭,常州大学商学院硕士研究生。 基金项目:江苏省第五期“333工程”科研资助立项项目“江苏省化工行业环保安全压力分析与绿色低碳发展对策”(BRA2019280)。
更新日期/Last Update: 1900-01-01