Abstract
Transportation has significantly contributed to carbon emissions, and concerns regarding emissions mitigation have become central research issues. To avoid a reversal of the reduction convergence in the environmental field, mitigation strategies should aim to reduce the environmental risks posed by carbon inequality. This article uses the Gini index and Theil index to examine carbon inequality in the transport sector in China and decomposes the per capita carbon inequality using Kaya factors. Then, the variations within and between regions are analyzed by decomposing the Theil index of the carbon intensity by region. Our major findings are as follows. First, carbon inequality is relatively insignificant in the regional transport sector in China. Second, the main drivers of the per capita carbon inequality include the carbon intensity and per capita added value in the transport sector. Third, intra-regional components are major contributors to the heterogeneous spatial distribution of the carbon intensity, and the degree of carbon inequality in the eastern region is much greater than that in other regions. Moreover, the four economic regional components of the Theil index of the carbon intensity have had an obvious convergence effect since 2009. In addition, this study provides some suggestions for developing differentiated mitigation policies in different regions.
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References
Azlina AA, Law SH, Nik M, Nik H (2014) Dynamic linkages among transport energy consumption, income and CO2 emission in Malaysia. Energy Policy 73:598–606
Cantore N, Padilla E (2010) Equality and CO2 emissions distribution in climate change integrated assessment modelling. Energy 35(1):298–313
Clarke-Sather A, Qu J, Wang Q, Zeng JJ, Li Y (2011) Carbon inequality at the sub-national scale: a case study of provincial-level inequality in CO2 emissions in China 1997-2007. Energy Policy 39(9):5420–5428
Dai Y, Gao HO (2016) Energy consumption in China’s logistics industry: a decomposition analysis using the LMDI approach. Transp Res D 46:69–80
Duan HB, Hu MW, Zhang YK, Wang JY, Jiang WP, Huang QF, Li JH (2015) Quantification of carbon emissions of the transport service sector in China by using streamlined life cycle assessment. J Clean Prod 95:109–116
Duro JA, Padilla E (2006) International inequalities in per capita CO2 emissions: a decomposition methodology by Kaya factors. Energy Econ 28(2):170–187
Groot L (2010) Carbon lorenz curves. Resour Energy Econ 32(1):45–64
Guo B, Geng Y, Franke B, Hao H, Liu Y, Chiu A (2014) Uncovering China’s transport CO2 emission patterns at the regional level. Energy Policy 74:134–146
Hao H, Geng Y, Wang H, Ouyang MG (2014) Regional disparity of urban passenger transport associated GHG (greenhouse gas) emissions in China: a review. Energy 68:783–793
IEA (2014) CO2 Emissions from fuel combustion highlights. Office of Management and Administration, Paris
IPCC (2014) Climate Change 2014 Mitigation of Climate Change. Cambridge University Press, New York
Kaya Y (1989) Impact of carbon dioxide emission control on GNP growth: interpretation of proposed scenarios. Paper Presented to the Energy and Industry Subgroup, Response Strategies Working Group, Intergovernmental Panel on Climate Change, Paris
Li Z, Meng N, Yao X (2017) Sustainability performance for China’s transportation industry under the environmental regulation. J Clean Prod 142:688–696
Li Y, Du Q, Lu XR, Wu J, Han X (2019) Relationship between the development and CO2 emissions of transport sector in China. Transp Res D 74:1–14
Marsden G (2007) Defining and measuring progress towards a sustainable transport system. TRB Sustainable Transportation Indicators (STI) discussion paper
Mazzarino M (2000) The economics of the greenhouse effect: evaluating the climate change impact due to the transport sector in Italy. Energy Policy 28(13):957–966
Mookherjee D, Shorrocks A (1982) A decomposition analysis of the trend in UK income inequality. Econ J 92(368):886–902
Mraihi R, Ben Abdallah K, Abid M (2013) Road transport-related energy consumption: analysis of driving factors in Tunisia. Energy Policy 62:247–253
Qiu JY, Zhong DS, Cui QY, Guo Z, Hong YX (2011) Equity analysis of global CO2 emissions based on Gini coefficient. China Soft Sci 4:14–21
Remuzgo L, Sarabia JM (2013) Desigualdad en la distribución mundial de emisiones de CO2 por sectores: Descomposición y estudio de sensibilidad. Estud Econ Apl 31:65–92
Song M, Ai H, Li X (2015) Political connections, financing constraints, and the optimization of innovation efficiency among China’s private enterprises. Technol Forecast Soc Chang 92:290–299
Timilsina GR, Shrestha A (2009) Transport sector CO2 emissions growth in Asia: underlying factors and policy options. Energy Policy 37(11):4523–4539
UNFCCC (2015) Adoeption of the Paris agreement. Report No. FCCC/CP/2015/L.9/Rev.1
United Nations Development Programme (UNDP) (2011) Human Development Report 2011. Sustainability and equity: a better future for all. Palgrave Macmillan, New York
Wang Z, He W (2017) CO2 emissions efficiency and marginal abatement costs of the regional transportation sectors in China. Transp Res D 50:83–97
Wang Y, Yang L, Han S, Liu C, Ramachandra TV (2017) Urban CO2 emissions in Xi’an and Bangalore by commuters: implications for controlling urban transportation carbon dioxide emissions in developing countries. Mitig Adapt Strateg Glob Chang 22:993–1019
Wodon QT, Heil MT (1997) Inequality in CO2 emissions between poor and rich countries. J Environ Dev 6(4):426–452
Wodon QT, Heil MT (2000) Future inequality in CO2 emissions and the impact of abatement proposals. Environ Resour Econ 17(2):163–181
World Bank (2015) World Bank Open Data. http://data.worldbank.org
Yuan CY, Zhang Q, Rui XL, Jiao P (2016) Spatiotemporal evolution and difference of transport carbon emissions in China. Acta Sci Circumst 36(12):4555–4562
Zhang C, Nian J (2013) Panel estimation for transport sector CO2 emissions and its affecting factors: a regional analysis in China. Energy Policy 63(4):918–926
Zhou Y, Fang W, Li M, Liu W (2018) Exploring the impacts of a low-carbon policy instrument: a case of carbon tax on transportation in China. Resour Conserv Recycl 139:307–314
Funding
The research work was supported by the National Social Science Foundation of China (Grant No. 16CJY028), the Fundamental Research Funds for the Central Universities (Grant No. 300102238303, 300102239617), and Research Projects on Major Theoretical and Practical Problems in Social Sciences of Shaanxi Province (Grant No. 2019TJ039).
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Du, Q., Li, J., Li, Y. et al. Carbon inequality in the transportation industry: empirical evidence from China. Environ Sci Pollut Res 27, 6300–6311 (2020). https://doi.org/10.1007/s11356-019-07291-4
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DOI: https://doi.org/10.1007/s11356-019-07291-4