• Journal of Resources and Ecology
  • Vol. 11, Issue 5, 483 (2020)
Xianzhao* LIU*
Author Affiliations
  • School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China
  • show less
    DOI: 10.5814/j.issn.1674-764x.2020.05.006 Cite this Article
    Xianzhao* LIU. A Comparative Decomposition Analysis of the Factors Driving Energy-related Carbon Emissions from Three Typical Provinces in China: Jiangsu, Henan and Inner Mongolia[J]. Journal of Resources and Ecology, 2020, 11(5): 483 Copy Citation Text show less
    References

    [1] W Ang B, H Wang. Index decomposition analysis with multidimensional and multilevel energy data. Energy Economics, 51, 67-76(2015).

    [2] A Baležentis, T Baležentis, D Streimikiene. The energy intensity in Lithuania during 1995-2009: A LMDI approach. Energy Policy, 39, 7322-7334(2011).

    [3] N Birdsall. Another look at population and global warming: Population, health and nutrition policy research. Washington D C, USA: Policy Research Working Paper Series 1020. -World Bank.(1992).

    [4] D Chen J, C Xu, B Cui L et al. Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach. Energy Economics, 78, 589-597(2019).

    [5] M Dalton, B O’Neill, A Prskawetz. Population aging and future carbon emissions in the United States. Energy Economics, 30, 642-675(2008).

    [6] X Deng J, X Liu, Z Wang. Characteristics analysis and factor decomposition based on the regional difference changes in China’s CO2 emissions. Journal of Natural Resources, 29, 189-200(2014).

    [7] F Dong, Y Long R, L Li Z et al. Analysis of carbon emission intensity, urbanization and energy mix: Evidence from China. Natural Hazards, 82, 1375-1391(2016).

    [8] Y Geng, M Tian, Q Zhu. Quantification of provincial-level carbon emissions from energy consumption in China. Renewable and Sustainable Energy Reviews, 15, 3658-3668(2011).

    [9] J He, P Zhang. Evaluating the coordination of industrial-economic development based on anthropogenic carbon emissions in Henan Province, China. International Journal Environment Research and Public Health, 15, 1815-1826(2018).

    [10] J Huang. Study on the impact of population structure changes on carbon emissions performance of China. Northwest Population Journal, 37, 91-95(2016).

    [11] Q Kang Y, T Zhao, P Wu. Impacts of energy-related CO2 emissions in China: A spatial panel data technique. Natural Hazards, 81, 405-421(2016).

    [12] Y Kaya. Impact of carbon dioxide emission on GNP growth: Interpretation of proposed scenarios. Paris, France: Presentation to the Energy and Industry Subgroup, Response Strategies Working Group. IPCC.(1989).

    [13] W Liang, T Gan, W Zhang. Dynamic evolution of characteristics and decomposition of factors influencing industrial carbon dioxide emissions in China: 1991-2015. Structural Change and Economic Dynamics, 49, 93-106(2019).

    [14] C Liu L, N Wang J, G Wu et al. China’s regional carbon emissions change over 1997-2007. International Journal of Energy & Environment, 1, 161-176(2010).

    [15] Z Liu X, X Yang, X Guo R. Regional differences in fossil energy-related carbon emissions in China’s eight economic regions: Based on the Theil Index and PLS-VIP method. Sustainability, 12, 1-24(2020).

    [16] Y Liu, Y Li X, Y Lin J et al. Factor decomposition of carbon intensity in Xiamen City based on LMDI method. Acta Ecologica Sinica, 34, 2378-2387(2014).

    [17] B Ma. Does urbanization affect energy intensities across provinces in China? Long-run elasticity’s estimation using dynamic panels with heterogeneous slopes. Energy Economics, 49, 390-401(2015).

    [18] Z Meng, H Wang, B Wang. Empirical analysis of carbon emission accounting and influencing factors of energy consumption in China. International Journal of Environment Research & Public Health, 15, 2467-2475(2018).

    [19] Enhanced actions on climate change: China’s intended nationally determined contributions. Beijing, China: National Development and Reform Commission of China.(2015).

    [20] S Paul, N Bhattacharya R. CO2 emission from energy use in India: A decomposition analysis. Energy Policy, 32, 585-593(2004).

    [21] S Shao, L Yang, C Gan et al. Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes: A case study for Shanghai. Renewable and Sustainable Energy Reviews, 55, 516-536(2016).

    [22] C Sheinbaum, L Ozawa, D Castillo. Using logarithmic mean Divisia index to analyze changes in energy use and carbon dioxide emissions in Mexico’s iron and steel industry. Energy Economics, 32, 1337-1344(2010).

    [23] M Shrestha R, G Anandarajah, H Liyanage M. Factors affecting CO2 emission from the power sector of selected countries in Asia and the Pacific. Energy Policy, 37, 2375-2384(2009).

    [24] M Shrestha R, R Timilsina G. Factors affecting CO2 intensities of power sector in Asia: A divisia decomposition analysis. Energy Economics, 18, 283-293(1996).

    [25] Y Song D, B Lu Z. The factor decomposition and periodic fluctuations of carbon emission in China. China Population, Resources and Environment, 19, 18-24(2009).

    [26] M Song, X Guo, K Wu et al. Driving effect analysis of energy-consumption carbon emissions in the Yangtze River Delta region. Journal of Cleaner Production, 103, 620-628(2015).

    [27] B Subhes C, M Wataru. Changes in the GHG emission intensity in EU-15: Lessons from a decomposition analysis. Energy, 35, 3315-3322(2010).

    [28] H Suh D. An entropy approach to regional differences in carbon dioxide emissions: Implications for ethanol usage. Sustainability, 10, 243-255(2018).

    [29] J Sun, J Shi, B Shen et al. Nexus among energy consumption, economic growth, urbanization and carbon emissions: Heterogeneous panel evidence considering China’s regional differences. Sustainability, 10, 2383-2394(2018).

    [30] F Tan Z, L Li, J Wang J. Examining the driving forces for improving China’s CO2 emission intensity using the decomposing method. Applied Energy, 88, 4496-4504(2011).

    [31] C Wang, J Chen, J Zou. Decomposition of energy-related CO2 emission in China: 1957-2000. Energy, 30, 73-83(2005).

    [32] C Wang, F Wang, H Zhang. Carbon emissions decomposition and environmental mitigation policy recommendations for sustainable development in Shandong Province. Sustainability, 6, 8164-8179(2014).

    [33] J Wang C, L Zhang X, F Wang et al. Decomposition of energy-related carbon emissions in Xinjiang and relative mitigation policy recommendations. Frontiers of Earth Science, 9, 65-76(2015).

    [34] F Wang, J Wang C, X Su Y et al. Decomposition analysis of carbon emission factors from energy consumption in Guangdong Province from 1990 to 2014. Sustainability, 9, 274-288(2017).

    [35] F Wang, X Zhou. Population structure, urbanization and carbon emission: An empirical study based on cross-border panel data. China Journal of Population Science, 2, 47-56(2012).

    [36] T Wang H, P Wang M. Analysis of carbon emission spatiotemporal patterns and grey incidence of factors influencing carbon emission in 30 provinces in China. China Population, Resources and Environment, 21, 140-145(2011).

    [37] M Wang, C Feng. Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China. Energy Economics, 76, 101-104(2018).

    [38] M Wang, C Feng. Exploring the driving forces of energy-related CO2 emissions in China’s construction industry by utilizing production-theoretical decomposition analysis. Journal of Cleaner Production, 202, 710-719(2018).

    [39] L Wen, Y Shao H. Analysis of influencing factors of the carbon dioxide emissions in China’s commercial department based on the STIRPAT model and ridge regression. Environmental Science and Pollution Research, 26, 27138-27147(2019).

    [40] L Wu, S Kaneko, S Matsuoka. Driving forces behind the stagnancy of China’s energy-related CO2 emissions from 1996 to 1999: The relative importance of structural change, intensity change and scale change. Energy Policy, 33, 319-335(2005).

    [41] C Xu S, M Han H, W Zhang W et al. Analysis of regional contributions to the national carbon intensity in China in different Five-Year Plan periods. Journal of Cleaner Production, 145, 209-220(2017).

    [42] B Ye, J Jiang J, S Li C. Quantification and driving force analysis of provincial-level carbon emissions in China. Applied Energy, 198, 223-238(2017).

    [43] Y Yu, Y Kong Q. Analysis on the influencing factors of carbon emissions from energy consumption in China based on LMDI method. Natural Hazards, 88, 1691-1707(2017).

    [44] C Zhang, Y Lin. Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China. Energy Policy, 49, 488-498(2012).

    [45] X Zhang, W Niu S, S Zhao C et al. The study on household energy consumption and carbon emissions in China’s urbanization. China Soft Science, 9, 65-75(2011).

    [46] J Zhang Y, B Da Y. The decomposition of energy-related carbon emission and its decoupling with economic growth in China. Renewable & Sustainable Energy Reviews, 41, 1255-1266(2015).

    [47] T Zhao X, W Burnett J, J Fletcher J. Spatial analysis of China province-level CO2 emission intensity. Renewable and Sustainable Energy Reviews, 33, 1-10(2014).

    [48] Q Zhu, Z Peng X, M Lu Z et al. Analysis model and empirical study of impacts from population and consumption on carbon emissions. China Population, Resources and Environment, 20, 98-102(2010).

    Xianzhao* LIU. A Comparative Decomposition Analysis of the Factors Driving Energy-related Carbon Emissions from Three Typical Provinces in China: Jiangsu, Henan and Inner Mongolia[J]. Journal of Resources and Ecology, 2020, 11(5): 483
    Download Citation