基于泰尔指数的粤港澳大湾区碳生产率差异分析
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摘要
利用泰尔指数来测度2005—2014年粤港澳大湾区碳生产率的差异,并构建双重差分模型检验"一国两制"制度对碳生产率差异的影响。结果表明,(1)2015以来粤地区的碳生产率远远低于港澳地区的碳生产率;(2)2005年以来粤港澳大湾区区间碳生产率差异较小,区内碳生产率差异较大,且大湾区碳生产率总差异虽然呈下降趋势,但仍然较大;(3)粤港澳大湾区碳生产率的总差异主要来自区域内差异,而区域内差异主要是由港澳地区差异所引起,且港澳地区的碳生产率差异对总差异的贡献率在逐年增大;(4)"一国两制"对粤港澳大湾区的碳生产率具有显著正向影响。
Taking the 2005—2014 panel data of Guangdong-Hong Kong-Marco Greater Bay Area, we use the Theil index to measure the Bay Area-productivity differences and build a Difference-in-Differences model and a fixed effect model to analyze "one country, two systems" affecting the carbon productivity. The results are as follows: 1) since 2005, the carbon productivity in Guangdong region is far below the carbon productivity in Hong Kong and Macao region; 2) the interval carbon productivity difference is small, the regional carbon productivity differences is big, the total difference of carbon productivity in the Guangdong-Hong Kong-Marco Greater Bay Area of Guangdong, Hong Kong and Macao has declined since 2005, but it is still larger; 3)The total difference of carbon productivity in the Guangdong-Hong Kong-Marco Greater Bay Area of Guangdong, Hong Kong and Macao mainly comes from the interval difference, and the interval difference is mainly caused by the differences between Hong Kong and Macao, and the contribution rate of Hong Kong and Macao's carbon productivity difference to the total difference is increasing year by year; 4) "one country, two systems" has significant positive effect on the carbon productivity. On this basis, we put forward proposals to promote low-carbon development in Guangdong-Hong Kong-Marco Greater Bay Area.
Taking the 2005—2014 panel data of Guangdong-Hong Kong-Marco Greater Bay Area, we use the Theil index to measure the Bay Area-productivity differences and build a Difference-in-Differences model and a fixed effect model to analyze "one country, two systems" affecting the carbon productivity. The results are as follows: 1) since 2005, the carbon productivity in Guangdong region is far below the carbon productivity in Hong Kong and Macao region; 2) the interval carbon productivity difference is small, the regional carbon productivity differences is big, the total difference of carbon productivity in the Guangdong-Hong Kong-Marco Greater Bay Area of Guangdong, Hong Kong and Macao has declined since 2005, but it is still larger; 3)The total difference of carbon productivity in the Guangdong-Hong Kong-Marco Greater Bay Area of Guangdong, Hong Kong and Macao mainly comes from the interval difference, and the interval difference is mainly caused by the differences between Hong Kong and Macao, and the contribution rate of Hong Kong and Macao's carbon productivity difference to the total difference is increasing year by year; 4) "one country, two systems" has significant positive effect on the carbon productivity. On this basis, we put forward proposals to promote low-carbon development in Guangdong-Hong Kong-Marco Greater Bay Area.
引文
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[3]余金龙,赵文会,涂晓颖.基于泰尔指数法的金砖国家和七国集团地区碳生产率差异研究[J].科技管理研究,2014,34(18):218-223.
[4]林坚,马珣.中国城市群土地利用效率测度[J].城市问题,2014(5):9-14,60.
[5]朱烨.城市土地集约利用与低碳城市的时空耦合协调度研究[D].青岛:中国海洋大学,2015.
[6]苏万春.珠三角城市碳排放强度及产业结构的比较研究[J].特区经济,2011(6):24-26.
[7]黄华,蔡克光,邢谷锐.基于碳平衡视角的广东省城市低碳发展特征及对策研究[J].城市发展研究,2015,22(11):12-18.
[8]胡建辉,蒋选.城市群视角下城镇化对碳排放的影响效应研究[J].中国地质大学学报(社会科学版),2015,15(6):11-21.
[9]张协奎.城市群资源整合与协调发展研究:以广西北部湾城市群为例[M].北京:中国社会科学出版社,2012.
[10]GILL B,MOELLER S.GHG emissions and the rural-urban divide:a carbon footprint analysis based on the German official income and expenditure survey[J].Ecological Economics,2018,145:160-169.
[11]WAISMAN H D,GUIVARCH C,LECOCQ F.The transportation sector and low-carbon growth pathways:modelling urban,infrastructure,and spatial determinants of mobility[J].Climate Policy,2013,13 (sup01):106-129.
[12]VOYTENKO Y,MCCORMICK K,EVANS J,et al.Urban living labs for sustainability and low carbon cities in Europe:towards a research agenda[J].Journal of Cleaner Production,2016,123:45-54.
[13]VLASOV D,NINA D.Scientific and methodological basis of development of the park-and-ride facilities in the intermodal transport Hubs of Moscow Agglomeration[J].Advanced Materials Research,2014 (869-870):201-204.
[14]BEINHOCKER E,OPPENHEIM J,IRONS B,et al.The carbon productivity challenge:Curbing climate change and sustaining economic growth[R].[S.L.]:Mckinsey Global Institute,2008.
[15]LONG R Y,SHAO T X,CHEN H.Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors[J].Applied energy,2015,166,210-219.
[16]林善浪,张作雄,刘国平.技术创新、空间集聚与区域碳生产率[J].中国人口·资源与环境,2013,23(5):36-45.
[17]张永军.技术进步,结构变动与碳生产率增长[J].中国科技论坛,2011(5):114-120.
[18]MENG M,NIU D X.Three-dimensional decomposition models for carbon productivity[J].Energy,2012,46(1),179-187.
[19]彭文强,赵凯.我国碳生产率的收敛性研究[J].西安财经学院学报,2012,25(5):16-22.
[20]COASE R H.A new institutional economics[J].American Economic Review,1998,88(2):72-74.
[21]WILLIANMSON O E.The new institutional economics :taking stock,looking ahead[J].Global Jurist,2000,38(3):595-613.
[22]DAVIS L.Institutional change and American economic growth[J].Journal of Economic History,1970,30(1):131-149.
[23]张五常.新制度经济学的来龙去脉[J].交大法学,2015(3):8-19.
[24]PUHANI P A.The treatment effect,the cross difference,and the interaction term in nonlinear “difference-in-difference” models[J].Economics Letters,2012,115(1):85-87.
[25]袁从帅,刘晔,王治华,等.“营改增”对企业投资、研发及劳动雇佣的影响:基于中国上市公司双重差分模型的分析[J].中国经济问题,2015(4):3-13.
[26]龙如银,邵天翔.中国三大经济圈碳生产率差异及影响因素[J].资源科学,2015,37(6):1249-1257.
[27]安耕.内地加大对港能源支持力度[EB/OL].(2011-08-31)[2018-04-23].http://energy.people.com.cn/GB/15552393.html.
[28]澳门将增加输入内地电力解决增长的电力消耗[EB/OL].(2006-07-05)[2018-04-23].https://news.qq.com/a/20060705/001041.htm.
[29]深圳市统计局.深圳市2014年国民经济和社会发展统计公报[EB/OL].(2015-04-24)[2018-04-28].http://www.sz.gov.cn/cn/xxgk/zfxxgj/tjsj/tjgb/201504/t20150424_2862885.html.
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