Spatial spillover effect and driving forces of carbon emission intensity at city level in China

被引：0
|
作者：
Wang S. [1 ]
Huang Y. [1 ]
机构：
[1] Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-Sen University, Guangzhou
来源：
Dili Xuebao/Acta Geographica Sinica | 2019年 / 74卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Carbon emission intensity; City level; Quantile regression panel model; Spatial Markov-chain; Spatial spillover effect;
D O I：
10.11821/dlxb201906005
中图分类号：
学科分类号：
摘要：
Since the Paris Climate Change Conference in 2015, reducing carbon emission and lowering carbon intensity has become a global consensus to deal with climate change. Due to different economic development stages, carbon intensity is regarded as a better index to measure regional energy-related carbon emissions. Although previous scholars have made great efforts to explore the spatiotemporal patterns and key driving factors of carbon intensity in China, the results lack the perspective from city level because of limited availability of statistical data of city-level carbon emission. In this study, based on carbon intensity of 283 cities in China from 1992-2013, we used the kernel density estimation, spatial autocorrelation, spatial Markov-chain and quantile regression panel model to empirically reveal its spatial spillover effects and explore the critical impact factors of carbon intensity at the city level. Our result indicates that although the total carbon emission increased during the study period, carbon intensity saw a gradual decline and regional differences were shrinking. Secondly, the city-level carbon intensity presented a strong spatial spillover effect and diverse regional backgrounds exerted heterogeneous effects on regions. Thirdly, quantile panel data analysis result showed that for low-intensity cities, on the one hand, FDI and transport sector were main contributing factors, and economic growth, technical progress and high population density negatively affected carbon intensity. On the other hand, industrial activity, extensive growth of investment and urban sprawl were key promoting factors for high-intensity cities, and population density was beneficial to emission reduction task. Furthermore, technological advance has not exerted negative influence on carbon intensity in high-intensity cities. At last, we suggested that Chinese government should take different carbon intensity levels into full consideration before policy making. © 2019, Science Press. All right reserved.
引用
收藏
页码：1131 / 1148
页数：17
相关论文
共 59 条
  • [1] Liu Y., Ge Q., He F., Et al., Countermeasures against international rressure of reducing CO<sub>2</sub> emissions and analysis on China's potential of CO<sub>2</sub> emission reduction, Acta Geographica Sinica, 63, 7, pp. 675-682, (2008)
  • [2] Jotzo F., Pezzey J.C.V., Optimal intensity targets for greenhouse gas emissions trading under uncertainty, Environmental & Resource Economics, 38, 2, pp. 259-284, (2007)
  • [3] Zhao Q., Yan Q., Zhao H., Research on spatial characteristics and influencing factors of provincial carbon emissions in China, Journal of Beijing Institute of Technology, 20, 1, pp. 9-16, (2018)
  • [4] Sun Y., Zhong W., Qing D., Analysis on differences of carbon emission intensity of each province in China based on Theil Index, Finance and Trade Research, 2, 3, pp. 1-7, (2012)
  • [5] Zhao Y., Huang X., Zhong T., Et al., Spatial pattern evolution of carbon emission intensity from energy consumption in China, Environmental Science, 32, 11, pp. 3145-3152, (2011)
  • [6] Li S., Hou Y., Liu Y., Et al., The analysis on survey of local protection in China domestic market, Economic Research Journal, 11, pp. 78-84, (2004)
  • [7] Pan W., Regional linkage and the spatial spillover effects on regional economic growth in China, Economic Research Journal, 1, pp. 54-65, (2012)
  • [8] Gu C., Tan Z., Liu W., Et al., A study on climate change, carbon emissions and low-carbon city planning, Urban Planning Forum, 3, pp. 38-45, (2009)
  • [9] Pettersson F., Maddison D., Sevil A., Et al., Convergence of carbon dioxide emissions: A review of the literature, International Review of Environmental & Resource Economics, 7, 2, pp. 141-178, (2014)
  • [10] Xu G., The convergence in carbon dioxide emissions: Theoretical hypotheses and empirical research in China, The Journal of Quantitative & Technical Economics, 9, pp. 31-42, (2010)
123456