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长江经济带碳排放与经济增长的脱钩关系——基于生产侧和消费侧视角
Decoupling analysis between economic growth and carbon emissions in the Yangtze River Economic Belt——production and consumption perspectives
构建长江经济带多区域投入产出表，并基于Tapio脱钩模型和结构分解分析，从生产侧和消费侧视角研究2002~2012年长江经济带各省市分行业碳排放与经济增长的脱钩效应及影响因素.在此基础上，研究长江经济带各省市投资、消费和出口引致的隐含碳排放与经济增长的关系.结果发现：从省市层面来看，与2002~2007年相比，2007~2012年各省市生产侧碳排放的脱钩状态有所好转，均呈现为弱脱钩.消费侧方面，2007~2012年期间5省市（江苏省、安徽省、湖北省、重庆市和贵州省）为扩张连接，云南省为扩张负脱钩，可以发现生产侧视角下存在高估脱钩状态的现象.从各省市分行业来看，中上游地区制造业在2002~2007年期间消费侧的碳排放多呈现为弱脱钩，到了2007~2012年消费侧的脱钩状态总体上较不理想.建筑业具有类似情况.2007~2012年各省市的电力行业在两视角下均实现脱钩.从消费、投资和出口的角度来看，2007~2012年下游地区出口和投资的脱钩状态趋于好转.中上游地区投资的脱钩状态趋于恶化，出口的脱钩状态好转不明显.
The multiregional input-output table of the Yangtze River Economic Beltwas established. Then the Tapio decoupling model and Structural Decomposition Analysis (SDA) were used to study the decoupling relationshipbetween economic growth and carbon emissions of various regional industries from 2002 to 2012. And different kinds of consumtpion (investment, consumption and export)were also identified. The resultsshowthat from a regional perspective, the relationship during 2007~2012 all showed a relatively ideal weak decoupling state compared that during 2002~2007. Under the consumption-based principle, carbon emissions and economic growth in 5provinces (Jiangsu, Anhui, Hubei, Chongqing, and Guizhou Province) were expansive coupling, and Yunnan Province was expansive negative decoupling from 2007 to 2012. Decoupling performances based on production-based perspective were generally overestimated in comparison to those based on consumption-based. At industry level, the consumption-based decoupling states of the manufacturing industry in the middle and downstream area tendedto be weak decoupling from 2002 to 2007, while the decoupling state of those most were expansive coupling and expansive negative decouplingduring 2007~2012. The construction industry had a similar situation. Additionally, the power industry in each province achieved decoupling from two perspectives during 2007~2012. From the perspective of consumption, investment, and exports, the decoupling of exports and investment in the downstream area has improved in 2007~2012. The decoupling of investment in the middle and upstream areas tended to worsen, and the decoupling of exports has not improved significantly.
长江经济带 / 结构分解分析 / 生产侧 / 脱钩模型 / 消费侧
consumption-based perspective / decoupling model / production-based perspective / structural decomposition analysis / Yangtze River Economic Belt
[1] 孙耀华,李忠民.中国各省区经济发展与碳排放脱钩关系研究[J]. 中国人口·资源与环境, 2011,21(5):87-92. Sun Y M, Li Z M. Analysing on the decoupling relationship between carbon dioxide emissions and economic growth of each province in China[J]. China Population, Resources and Environment, 2011,21(5):87-92.
[2] Shuai C, Chen X, Wu Y, et al. A three-step strategy for decoupling economic growth from carbon emission:empirical evidences from 133countries[J]. Science of the total environment. 2019,646:524-543.
[3] Freitas L C, Kaneko S. Decomposing the decoupling of CO2 emissions and economic growth in Brazil[J]. Ecological Economics, 2011,70(8):1459-1469.
[4] Wang Q, Su M, Li R. Toward to economic growth without emission growth:the role of urbanization and industrialization in China and India[J]. Journal of Cleaner Production, 2018,205:499-511.
[5] 梁赛,张天柱.多种政策对经济-环境系统的综合作用分析[J]. 中国环境科学, 2014,34(3):793-800. Liang S, Zhang T Z, Analyzing integrated impacts of various policies on economic-environmental systems[J]. China Environmental Science, 2014,34(3):793-800.
[6] Zhang M, Wang W W. Decouple indicators on the CO2 emissioneconomic growth linkage:The Jiangsu Province case[J]. Ecological Indicator, 2013,32:239-244.
[7] 王东,李玥凝.广东省居民生活消费碳排放与居民收入关系研究[J]. 中国人口·资源与环境, 2017,27(S1):218-221. Wand D, Li Y N, Relationship between household CO2 emissions and residents' income in Guangdong Province[J]. China Population, Resources and Environment, 2017,27(S1):218-221.
[8] Su M, Jiang R, Li R. Investigating low-carbon agriculture:case study of China's Henan province[J]. Sustainability, 2017,9(12):1-14.
[9] 王丽琼.基于LMDI中国省域氮氧化物减排与实现路径研究[J]. 环境科学学报, 2017,37(6):2394-2402. WANG L Q. Investigation of NOx emissions reduction and its strategies over China's 30provinces based on LMDI[J]. Acta Scientiae Circumstantiae, 2017,37(6):2394-2402.
[10] Dong B, Zhang M, Mu H, et al. Study on decoupling analysis between energy consumption and economic growth in Liaoning Province[J]. Energy Policy, 2016,97:414-420.
[11] Tang Z, Shang J, Shi C B, et al. Decoupling indicators of CO2 emissions from the tourism industry in China:1990~2012[J]. Ecological Indicator, 2014(46):390-397.
[12] Zhao X, Zhang X, Li N, et al. Decoupling economic growth from carbon dioxide emissions in China:A sectoral factor decomposition analysis[J]. Journal of Cleaner Production, 2017,142:3500-3516.
[13] 冯博,王雪青.中国各省建筑业碳排放脱钩及影响因素研究[J]. 中国人口·资源与环境, 2015,25(4):28-34. Feng B, Wang X Q. Research on carbon decoupling effect and influence factors of provincial construction industry in China[J]. China population, Resources and Environment, 2015,25(4):28-34.
[14] Diakoulaki D, Mandaraka M. Decomposition analysis for assessing the progress in decoupling industrial growth from CO2 emissions in the EU manufacturing sector[J]. Energy Economics, 2007,29:636-664.
[15] Chen J, Wang P, Cui L, et al. Decomposition and decoupling analysis of CO2 emissions in OECD[J]. Applied energy, 2018,231:937-50.
[16] Wang Q, Zhao M M, Li R R. Decomposition and decoupling analysis of carbon emissions from economic growth:A comparative study[J]. Journal of Cleaner Production, 2018,197:178-184.
[17] 马晓君,陈瑞敏,董碧滢,等.中国工业碳排放的因素分解与脱钩效应[J]. 中国环境科学, 2019,39(8):3549-3557. Ma X J, Chen R M, Dong B Y, et al. Factor decomposition and decoupling effect of China's industrial carbon emissions[J]. China Environmental Science, 2019,39(8):3549-3557.
[18] 贺爱忠,刘盼.中国流通业CO2排放的因素分解和脱钩分析[J]. 中国环境科学, 2015,35(3):953-960. He A Z, Liu P. Factor decomposition and decoupling analysis on CO2 emissions:evidence from China's circulation sector[J]. China Environmental Science, 2015,35(3):953-960.
[19] 李富佳.区际贸易隐含碳排放转移研究进展与展望[J]. 地理科学进展, 2018,37(10):1303-1313. Li F J. Progress and prospects of research on transfer of carbon emissions embodied in inter-regional trade[J]. Progress in Geography, 2018,37(10):1303-1313.
[20] 郑蕾,唐志鹏,刘毅.中国投资引致碳排放与经济增长的空间特征及脱钩测度[J]. 资源科学, 2015,37(12):2330-2340. Zheng L. Tang Z P, Liu Y. Spatial characteristics and decoupling of carbon emissions and economic growth induced by Chinese investments[J]. Resources Science, 2015,37(12):2330-2340.
[21] 彭水军,张文城,孙传旺.中国生产侧和消费侧碳排放量测算及影响因素研究[J]. 经济研究, 2015,50(1):168-182. Peng S J, Zhang W C, SUN C W. China's productionbased and consumption-based carbon emissions and their determinants[J]. Economic Research Journal, 2015,50(1):168-182.
[22] 陈锡康.投入产出技术[M]. 北京:科学出版社, 2011:4-19. Chen X K, Input-Output Technique[M]. Beijing:Science Press, 2011:4-19.
[23] Kan S Y, Chen B, Chen G Q. Worldwide energy use across global supply chains:Decoupled from economic growth?[J]. Applied Energy, 2019,250:1235-1245.
[24] Guo S, Chen G Q. Multi-scale input-output analysis for multiple responsibility entities:Carbon emission by urban economy in Beijing 2007[J]. Journal of Environmental Accounting and Management, 2013,1:43-54.
[25] Zhang B, Yang T R, Chen B, et al. China's regional CH4 emissions:Characteristics, interregional transfer and mitigation policies[J]. Applied Energy, 2016,184:1184-1195.
[26] 魏文栋,郭艺,谷岱南,等.中国电力行业生产结构低碳化转型研究[J]. 环境经济研究, 2018,(3):6-18. Wei W D, Guo Y, Gu D N, et al. Low carbon transformation of production structure in China's power sctor[J]. Journal of Environmental Economics, 2018,(3):6-18.
[27] 彭水军,张文城,卫瑞.碳排放的国家责任核算方案[J]. 经济研究, 2016,51(3):137-150. Pen S J, Zhang W C, Wei R. National carbon emission responsibility[J]. Economic Research Journal, 2016,51(3):137-150.
[28] OECD. Indicators to measure decoupling of environmental pressures from economic growth[R]. Paris:OECD, 2002.
[29] 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.
[30] 偏子豪,陈定江,朱兵,等.中国重化工业资源消耗的社会经济驱动力[J]. 中国环境科学, 2019,39(7):3113-3119. Pian Z H, Chen D J, Zhu B, et al. Socioeconomic drivers of resource consumption of China's heavy chemical industry sectors[J]. China Environmental Science, 2019,39(7):3113-3119.
[31] DietzenbacherE, Los B. Structural decomposition techniques:sense and Sensitivity[J]. Economic Systems Research, 1998,10(4):307-323.
[32] Peters G P, Weber C L, Guan D B, etal. China's growing CO2 emissions:A race between increasing consumption and efficiency gains[J]. Environmental Science & Technology, 2007,41(17):5939-5944.
[33] Liang S, Xu M, Liu Z, et al. Socioeconomic drivers of mercury emissions in China from 1992 to 2007[J]. Environmental Science & Technology, 2013,47(7):3234-3240.
[34] 顾阿伦,吕志强.经济结构变动对中国碳排放影响——基于IO-SDA方法的分析[J]. 中国人口·资源与环境, 2016,26(3):37-45. Gu A L, Lv Z Q. Effects of economic structure change on carbon emission of China:analysis based on IO-SDA Model[J]. China Population, Resources and Environment, 2016,26(3):37-45.
[35] Chen P, Peters G P, Andrew R M, et al. Structural Changes in Provincial Emission Transfers within China[J]. Environmental Science & Technology, 2018,52(22):12958-12967.
[36] 刘卫东,陈杰,唐志鹏,等.中国2007年30省区市区域间投入产出表编制理论与实践[M]. 北京:统计出版社, 2012. Liu W D, Chen J, Tang Z P, et al.Theory and Practice of Compiling China 30-Province Inter-Regional Input-output Table of 2007[M]. Beijing:China Statistics Press, 2012.
[37] 刘卫东,唐志鹏,韩梦瑶,等.2012年中国31省区市区域间投入产出表[M]. 北京:中国统计出版社, 2018. Liu W D, Tang Z P, Hang M Y, et al. China 30-Province Inter-Regional Input-output Table of 2012[M]. Beijing:China Statistics Press, 2018.
[38] 国家统计局.中国统计年鉴2003~2013[M]. 北京:中国统计出版社, 2013. National Bureau of Statistics. China statistical yearbook 2003~2013[M]. Beijing:China statistics press, 2013.
国家自然科学基金资助项目（71904125）；上海市青年科技英才扬帆计划项目（18YF1417500）
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