Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework

Abstract The rapid growth of CO2 emissions is not only due to increased energy consumption but also to multiple driving factors. Based on data from 2000 to 2014, this study proposes a comprehensive decomposition framework that combines production-theoretical decomposition analysis with index decomposition analysis to identify the driving factors of CO2 emissions from China's iron and steel industry. Furthermore, the different characteristics and drivers of CO2 emissions have been analyzed at the national, regional and provincial levels. The results indicate the following: (1) During 2000–2014, the average annual growth of CO2 emissions from China's iron and steel industry is 11.23%, and economic activity is the main reason for the dramatic increase. (2) Desirable output technology change has the greatest potential to mitigate CO2 emissions, followed by energy usage efficiency and energy saving technology change. Furthermore, the desirable output technology change and energy saving technology change are the constraint factors for CO2 emissions in all provinces. (3) Energy mix change, potential energy intensity change and desirable output technological efficiency generate important effects on the growth of CO2 emissions in most provinces. (4) The effects of energy usage efficiency to mitigate CO2 emissions in eastern region are not as great compared with those in central and western regions, and have mixed result across provinces. Therefore eliminating obsolete production capacities, improving R&D investment, accelerating the application of advanced technologies, reforming the ownership of enterprises and encouraging private and foreign investment represent the primary measures for mitigating the CO2 emissions from China's iron and steel industry.

[1]  Boqiang Lin,et al.  Sustainable development of China's energy intensive industries: From the aspect of carbon dioxide emissions reduction , 2017 .

[2]  Ruyin Long,et al.  Determination of the factors that influence increments in CO2 emissions in Jiangsu, China using the SDA method , 2017 .

[3]  C. I. Jones,et al.  Why Do Some Countries Produce so Much More Output Per Worker than Others? , 1998 .

[4]  Claudia Sheinbaum,et al.  Using logarithmic mean Divisia index to analyze changes in energy use and carbon dioxide emissions in Mexico's iron and steel industry , 2010 .

[5]  B. W. Ang,et al.  LMDI decomposition approach: A guide for implementation , 2015 .

[6]  Yu Hao,et al.  The influence of climate change on CO2 (carbon dioxide) emissions: an empirical estimation based on Chinese provincial panel data , 2016 .

[7]  B. W. Ang,et al.  Total factor carbon emission performance: A Malmquist index analysis , 2010 .

[8]  X. Yao,et al.  Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis , 2015 .

[9]  Chaochao Gao,et al.  Driving forces in energy-related carbon dioxide emissions in east and south coastal China: commonality and variations , 2016 .

[10]  Xin Yao,et al.  Decomposition analysis of factors affecting carbon dioxide emissions across provinces in China , 2017 .

[11]  Jining Chen,et al.  Decomposition of energy-related CO2 emission in China: 1957–2000 , 2005 .

[12]  Ernst Worrell,et al.  Energy use and CO2 emissions in Mexico's iron and steel industry , 2002 .

[13]  Shahiduzzaman,et al.  Decomposition of energy-related CO2 emissions in Australia: challenges and policy implications , 2015 .

[14]  Feng He,et al.  Energy efficiency and productivity change of China’s iron and steel industry: Accounting for undesirable outputs , 2013 .

[15]  Wenqiang Sun,et al.  Change in Carbon Dioxide (CO2) Emissions From Energy Use in China’s Iron and Steel Industry , 2011 .

[16]  B. W. Ang,et al.  Index decomposition analysis with multidimensional and multilevel energy data , 2015 .

[17]  Wei Liu,et al.  Driving forces of indirect carbon emissions from household consumption in China: an input–output decomposition analysis , 2015, Natural Hazards.

[18]  Fengyan Fan,et al.  Factor analysis of energy-related carbon emissions: a case study of Beijing , 2017 .

[19]  Qunwei Wang,et al.  Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method , 2017 .

[20]  Miao Wang,et al.  Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method , 2018 .

[21]  Yi-Ming Wei,et al.  Consumption-based emission accounting for Chinese cities , 2016 .

[22]  Qunwei Wang,et al.  What drives CO2 emissions from China’s civil aviation? An exploration using a new generalized PDA method , 2017 .

[23]  Rao Rao,et al.  Exploring the drivers to energy-related carbon emissions changes at China’s provincial levels , 2015 .

[24]  Zongguo Wen,et al.  Mode of circular economy in China's iron and steel industry: a case study in Wu'an city☆ , 2014 .

[25]  Bin Xu,et al.  Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model , 2016 .

[26]  Regional characteristics of industrial energy efficiency in China: application of stochastic frontier analysis method , 2015, Frontiers of Environmental Science & Engineering.

[27]  Chao Feng,et al.  Energy efficiency in China's iron and steel industry: Evidence and policy implications , 2017 .

[28]  Man Li,et al.  Decomposing the change of CO2 emissions in China: A distance function approach , 2010 .

[29]  B. W. Ang,et al.  Decomposition of aggregate CO2 emissions: A production-theoretical approach , 2008 .

[30]  Boqiang Lin,et al.  Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis , 2014 .

[31]  Tao Lin,et al.  A multi-sectoral decomposition analysis of city-level greenhouse gas emissions: Case study of Tianjin, China , 2014 .

[32]  Adam Rose,et al.  INPUT-OUTPUT STRUCTURAL DECOMPOSITION ANALYSIS: A CRITICAL APPRAISAL , 1996 .

[33]  Ji Xiong Discussion about Resolving Excess Capacity in Steel Industry , 2017 .

[34]  Ernst Worrell,et al.  International comparison of CO2 emission trends in the iron and steel industry , 2002 .

[35]  Danae Diakoulaki,et al.  A decomposition analysis of the driving factors of CO2 (Carbon dioxide) emissions from the power sector in the European Union countries , 2016 .

[36]  Xingping Zhang,et al.  Decomposing the change of CO2 emissions: A joint production theoretical approach , 2013 .

[37]  Boqiang Lin,et al.  Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry , 2014 .

[38]  Chunping Xie,et al.  A comparison of carbon dioxide (CO2) emission trends among provinces in China , 2017 .

[39]  Yi-Ming Wei,et al.  Chinese CO2 emission flows have reversed since the global financial crisis , 2017, Nature Communications.

[40]  Chengcai Tang,et al.  Factors that Influence the Tourism Industry's Carbon Emissions: a Tourism Area Life Cycle Model Perspective , 2017 .

[41]  Chao Feng,et al.  The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis , 2017 .

[42]  Jiahai Yuan,et al.  Decomposition of aggregate CO2 emissions within a joint production framework , 2012 .

[43]  Liying Li,et al.  Carbon dioxide emission drivers for a typical metropolis using input–output structural decomposition analysis , 2013 .

[44]  Bin Xu,et al.  Regional differences in the CO2 emissions of China's iron and steel industry: Regional heterogeneity , 2016 .

[45]  Yong Geng,et al.  Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning , 2013 .

[46]  Qinghua Zhu,et al.  An analysis of energy-related greenhouse gas emissions in the Chinese iron and steel industry , 2013 .

[47]  Bin Xu,et al.  Assessing CO2 emissions in China's iron and steel industry: Evidence from quantile regression approach , 2017 .

[48]  Yi-Ming Wei,et al.  An empirical analysis of energy efficiency in China's iron and steel sector , 2007 .

[49]  Yi-Ming Wei,et al.  Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030 , 2017 .

[50]  Ming Xu,et al.  Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis , 2014 .

[51]  Miao Wang,et al.  Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors , 2017 .

[52]  Tianyu Qi,et al.  An analysis of the driving factors of energy-related CO2 emission reduction in China from 2005 to 2013 , 2016 .

[53]  C. Weber,et al.  The drivers of Chinese CO2 emissions from 1980 to 2030 , 2008 .

[54]  Yongchen Song,et al.  Decomposition of energy-related CO2 emission over 1991-2006 in China , 2009 .

[55]  Boqiang Lin,et al.  Exploring Change in China’s Carbon Intensity: A Decomposition Approach , 2017 .

[56]  Wenjia Cai,et al.  Sectoral analysis for international technology development and transfer: Cases of coal-fired power generation, cement and aluminium in China , 2009 .

[57]  Boqiang Lin,et al.  Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework , 2015 .

[58]  Michael L. Lahr,et al.  Changes in China’s production-source CO2 emissions: insights from structural decomposition analysis and linkage analysis , 2016 .

[59]  Bin Xu,et al.  Assessing CO2 emissions in China's iron and steel industry: A nonparametric additive regression approach , 2017 .

[60]  Ruyin Long,et al.  Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI , 2014 .

[61]  Boqiang Lin,et al.  Factor and fuel substitution in China's iron & steel industry: Evidence and policy implications , 2017 .

[62]  Yeonbae Kim,et al.  International comparison of industrial CO2 emission trends and the energy efficiency paradox utilizing production-based decomposition , 2012 .

[63]  Yue-Jun Zhang,et al.  The CO2 emission efficiency, reduction potential and spatial clustering in China's industry: evidence from the regional level , 2016 .

[64]  Ning Zhang,et al.  Measuring ecological total-factor energy efficiency incorporating regional heterogeneities in China , 2015 .

[65]  Wen-Jie Zou,et al.  Energy Efficiency Measures and Convergence in China, Taking into Account the Effects of Environmental and Random Factors , 2015 .

[66]  Zeyi Jiang,et al.  Retrospective and prospective analysis of the trends of energy use in Chinese iron and steel industry , 2014 .

[67]  Ming Zhang,et al.  Decomposing the decoupling of energy-related CO2 emissions and economic growth in Jiangsu Province , 2013 .

[68]  Xiaolei Wang,et al.  How to reduce CO2 emissions in China׳s iron and steel industry , 2016 .

[69]  Chao Feng,et al.  Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis , 2017 .

[70]  Li Wang,et al.  A review of energy use and energy-efficient technologies for the iron and steel industry , 2017 .

[71]  Claudia Sheinbaum-Pardo,et al.  Decomposition analysis from demand services to material production: The case of CO2 emissions from steel produced for automobiles in Mexico , 2016 .

[72]  Ruyin Long,et al.  Comparative analysis of the regional contributions to carbon emissions in China , 2016 .

[73]  Yung‐ho Chiu,et al.  Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis , 2015 .

[74]  Chaoqing Yuan,et al.  The impact on chinese economic growth and energy consumption of the Global Financial Crisis: An input–output analysis , 2010 .

[75]  Xiaolei Wang,et al.  Exploring energy efficiency in China׳s iron and steel industry: A stochastic frontier approach , 2014 .

[76]  Yi-Ming Wei,et al.  Exploring the regional characteristics of inter-provincial CO2 emissions in China: An improved fuzzy clustering analysis based on particle swarm optimization , 2012 .

[77]  Dongxiao Niu,et al.  Incorporating the influence of China's industrial capacity elimination policies in electricity demand forecasting , 2017 .

[78]  Yi-Ming Wei,et al.  China’s regional industrial energy efficiency and carbon emissions abatement costs , 2014 .

[79]  Miao Wang,et al.  Understanding China's industrial CO2 emissions: A comprehensive decomposition framework , 2017 .

[80]  Qingyou Yan,et al.  Decomposition analysis of carbon dioxide emissions in China's regional thermal electricity generation, 2000–2020 , 2016 .