物流产业集聚对碳排放跨区域转移的作用机制

Abstract
Figure/Table
References
Related Citation (4)

Download: PDF (1131 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Based on the data of China's multi-regional input-output table (MRIO) from 2002 to 2015, a series of empirical studies on the action mechanism of logistics agglomeration on cross-regional carbon emission transfer were conducted by means of mediating effect model and panel threshold model. Then, the asymmetry of the impact of logistics agglomeration on the logistics carbon transfer was demonstrated. Findings indicated that logistics agglomeration significantly promoted the logistics carbon transfer. The information operation weakened the positive effect of logistics agglomeration on carbon transfer, and the transportation pressure strengthened the promotion of logistics agglomeration on the carbon transfer. Under the constraints of the information operation, the influence of logistics agglomeration on carbon transfer was generally in an inverted U-shaped curve. Under the pressure of transportation, the influence of logistics agglomeration on carbon transfer showed a gradient enhancement. Meanwhile, the influence of logistics agglomeration on carbon transfer was asymmetry in direction.

Key words： logistics agglomeration carbon transfer mechanism of action mediating effect model threshold effect mode

Received: 08 December 2020

PACS:

X22

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	WANG Jian
	LIN Shuang-jiao

Cite this article:

WANG Jian,LIN Shuang-jiao. The action mechanism of logistics agglomeration on the cross-regional transfer of carbon emissions[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(7): 3441-3452.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I7/3441

[1]	王晓硕,宇超逸.空间集聚对中国工业污染排放强度的影响[J]. 中国环境科学, 2017,37(4):1562-1570. Wang X X, Yu C Y. Impact of spatial agglomeration on industrial pollution emissions intensity in China[J]. China Environmental Science, 2017,37(4):1562-1570.
[2]	钟顺昌,闫程莉,任娇,等.中国省域空间集聚结构对霾污染的影响——基于2000~2013年面板数据的经验证据[J]. 中国环境科学, 2020,40(6):2758-2769. Zhong S C, Yan C L, Ren J, et al. Impact of China's provincial spatial agglomeration structure on haze pollution-empirical evidence based on panel data from 2000 to 2013[J]. China Environmental Science, 2020,40(6):2758-2769.
[3]	Zhang L, Rong P, Qin Y, et al. Does industrial agglomeration mitigate fossil CO2 emissions? An empirical study with spatial panel regression model[J]. Energy Procedia, 2018,152:731-737.
[4]	张可.经济集聚的减排效应:基于空间经济学视角的解释[J]. 产业经济研究, 2018,(3):64-76. Zhang K. The emission reduction effects of economic agglomeration:an explanation based on spatial economics[J]. Industrial Economics Research, 2018,(3):64-76.
[5]	梁晶,盛慧敏,吕靖.环渤海地区物流产业集聚对物流碳排放影响的实证研究[J]. 生态经济, 2020,36(9):38-43. Liang J, Sheng H M, Lv J. Empirical study on the logistics industry agglomeration to the carbon emission of logistics in the Bohai Rim region[J]. Ecological Economy, 2020,36(9):38-43.
[6]	苑清敏,李想.天津市产业集聚与碳转移规律研究[J]. 大连理工大学学报(社会科学版), 2016,37(3):48-54. Fan Q M, Li X. Study of the industrial cluster and the rule of carbon emissions transfer of Tianjin[J]. Journal of Dalian University of Technology (Social Sciences), 2016,37(3):48-54.
[7]	Meng B, Xue J, Feng K, et al. China's inter-regional spillover of carbon emissions and domestic supply chains[J]. Energy Policy, 2013,61:1305-1321.
[8]	罗富政,罗能生.政府竞争、市场集聚与区域经济协调发展[J]. 中国软科学, 2019,(9):93-107. Luo F Z, Luo N S. Government competition,market agglomeration and the coordinated development of regional economy[J]. China Soft Science Magazine, 2019,(9):93-107.
[9]	兰秀娟,张卫国.经济集聚、空间溢出与区域经济发展差异——基于"中心-外围"视角分析[J]. 经济问题探索, 2020,(10):68-80. Lan X J, Zhang W G. Economic agglomeration,space spillovers and regional economic development differences-analysis based on center periphery perspective[J]. Inquiry into Economic Issues, 2020,(10):68-80.
[10]	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 J F. Progress and prospects of research on transfer of carbon emissions embodied in inter-regional trade[J]. Progress in Geography, 2018,37(10):1303-1313.
[11]	Banga R. Role of services in the growth process:a survey[R]. Indian Council for Trade and Inter-national Economic Relations (ICRIER), 2005.
[12]	Glaeser E L, Kallal H D, Scheinkman J A, et al. Growth in cities[J]. Journal of Political Economy, 1992,100(6):1126-1152.
[13]	Karlsson C. ICT, Functional urban regions and the new economic geography[R]. The Royal Institute of technology Centre of Excellence for Studies in Science and Innovation, 2004.
[14]	徐秋艳,房胜飞.物流产业集聚的经济溢出效应及空间异质性研究——基于省际数据的空间计量分析[J]. 工业技术经济, 2018,(2):58-65. Xu Q Y, Fang S F. Empirical research on logistics industy cluster's economic spillover effects and spatial heterogeneity-based on spatial econometric analysis on provincial panel data[J]. Journal of Industrial Technological Economics, 2018,(2):58-65.
[15]	韩峰,谢锐.生产性服务业集聚降低碳排放了吗?——对我国地级及以上城市面板数据的空间计量分析[J]. 数量经济技术经济研究, 2017,(3):40-58. Han F, Xie R. Does the agglomeration of producer services reduce carbon emissions?[J]. The Journal of Quantitative & Technical Economics, 2017,(3):40-58.
[16]	罗能生,李建明.产业集聚及交通联系加剧了雾霾空间溢出效应吗?——基于产业空间布局视角的分析[J]. 产业经济研究, 2018, (4):52-64. Luo N S, Li J M. Do industrial agglomeration and traffic links aggravate the spatial spillover effects of haze? analysis from the perspective of spatial distribution of industries[J]. Industrial Economics Research, 2018,(4):52-64.
[17]	易艳春,高爽,关卫军.产业集聚、城市人口规模与二氧化碳排放[J]. 西北人口, 2019,40(1):50-60. Yi Y C, Gao S, Guan W J. Industrial agglomeration, urban population and CO2 emissions in Chinese prefectures[J]. Northwest Population, 2019,40(1):50-60.
[18]	Ehrlich P R, Holdren J P. Impact of population growth[J]. Science, 1971,171(3977):1212-1217.
[19]	Wang C, Wang F, Zhang X, et al. Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang[J]. Renewable and Sustainable Energy Reviews, 2017,67:51-61.
[20]	Dietz T, Rosa E A. Rethinking the environmental impacts of population, Affluence and technology[J]. Human Ecology Review, 1994,(1):277-300.
[21]	刘承良,牛彩澄.东北三省城际技术转移网络的空间演化及影响因[J]. 地理学报, 2019,74(10):2092-2107. Liu C L, Niu C C. Spatial evolution and factors of interurban technology transfer network in Northeast China from national to local perspectives[J]. Acta Geographica Sinica, 2019,74(10):2092-2107.
[22]	Windmeijer F. A finite sample correction for the variance of linear efficient two-step GMM estimators[J]. Journal of Econometrics, 2005,126:25-51.
[23]	Baron R M, Kenny D A. The moderator-mediator variable distinction in social psychological research:Conceptual, strategic, and statistical considerations[J]. Journal of Personality and Social Psychology, 1986,51(6):1173-1182.
[24]	李永源,张伟,蒋洪强,等.基于MRIO模型的中国对外贸易隐含大气污染转移研究[J]. 中国环境科学, 2019,39(2):889-896. Li Y Y, Zhang W, Jiang H Q, et al. Transfers of air pollutant emissions embodied in China's foreign trade based on MRIO model[J]. China Environmental Science, 2019,39(2):889-896.
[25]	李善同.2002年中国地区扩展投入产出表:编制与应用[M]. 北京:经济科学出版社, 2010. Li S T. China's regional expansion input-output table in 2002:compilation and application[M]. Beijing:Economic Science Press, 2010.
[26]	刘卫东.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:中国统计出版社, 2012. Liu W D. Theory and practice of compiling input-output table among China's 30provinces in 2007[M]. Beijing:China Statistics Press, 2012.
[27]	刘卫东,唐志鹏,陈杰.2010年中国30省区市区域间投入产出表[M]. 北京:中国统计出版社, 2014. Liu W D, Tang Z P, Chen J. Input-output table among China's 30provinces in 2010[M]. Beijing:China Statistics Press, 2014.
[28]	Mi Z, Meng J, Zheng H, et al. A multi-regional input-output table mapping China's economic outputs and interdependencies in 2012[J]. Scientific Data, 2018,5:155-166.
[29]	Zheng H, Zhang Z, Wei W, et al. Regional determinants of China's consumption-based emissions in the economic transition[J]. Environmental Research Letters, 2020,15(7):1-22.
[30]	陈勇,柏喆.技能偏向型技术进步、劳动者集聚效应与地区工资差距扩大[J]. 中国工业经济, 2018,(9):79-97. Chen Y, Bai J. Impact of skill-biased technical change and agglomeration economies of labor on regional wage gap expending[J]. China Industial Economics, 2018,(9):79-97.
[31]	国家统计局.中国统计年鉴[M]. 北京:中国统计出版社, 2003-2016. National Bureau of Statistics. China Statistical Yearbook[M]. Beijing:China Statistics Press, 2003-2016.
[32]	国家统计局.中国能源统计年鉴[M]. 北京:中国统计出版社, 2003-2016. National Bureau of Statistics. China Energy Statistical Yearbook[M]. Beijing:China Statistics Press, 2003-2016.
[33]	国家统计局.中国第三产业统计年鉴[M]. 北京:中国统计出版社, 2003-2016. National Bureau of Statistics. China Statistical Yearbook of the Tertiary Industry[M]. Beijing:China Statistics Press, 2003-2016.
[34]	国家统计局.中国劳动统计年鉴[M]. 北京:中国统计出版社, 2003-2016. National Bureau of Statistics. China Labor Statistical Yearbook[M]. Beijing:China Statistics Press, 2003-2016.
[35]	尹志超,刘泰星,张诚.农村劳动力流动对家庭储蓄率的影响[J]. 中国工业经济, 2020,(1):24-42. Yin Z C, Liu T X, Zhang C. The Influence of Rural Labor Migration on Household Saving Rate[J]. China Industial Economics, 2020, (1):24-42.