Regional differences in the CO2 emissions of China's iron and steel industry: Regional heterogeneity |
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| Affiliation: | 1. School of Statistics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi 330013, PR China;2. Research Center of Applied Statistics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi 330013, PR China;3. Newhuadu Business School, Minjiang University, Fuzhou, Fujian 350108, PR China;4. Collaborative Innovation Center for Energy Economics and Energy Policy, China Institute for Studies in Energy Policy, Xiamen University, Xiamen, Fujian 361005, PR China;1. National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan;2. School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;3. International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361 Laxenburg, Austria;4. Mitsubishi Research Institute Inc., 2-10-3, Nagatacho, Chiyoda-Ku, Tokyo 100-8141, Japan;1. Department of Neurosurgery, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), Zhengzhou 450003, PR China;2. Henan University of Chinese Medicine, Zhengzhou 450046, PR China;1. Copernicus Institute of Sustainable Development, Utrecht University, Heidelberglaan 2, 3584 CS Utrecht, The Netherlands;2. International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenburg, Austria |
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| Abstract: | Identifying the key influencing factors of CO2 emissions in China's iron and steel industry is vital for mitigating its emissions and formulating effective environmental protection measures. Most of the existing researches utilized time series data to investigate the driving factors of the industry's CO2 emission at the national level, but regional differences have not been given appropriate attention. This paper adopts provincial panel data from 2000 to 2013 and panel data models to examine the key driving forces of CO2 emissions at the regional levels in China. The results show that industrialization dominates the industry's CO2 emissions, but its effect varies across regions. The impact of energy efficiency on CO2 emissions in the eastern region is greater than in the central and western regions because of a huge difference in R&D investment. The influence of urbanization has significant regional differences due to the heterogeneity in human capital accumulation and real estate development. Energy structure has large potential to mitigate CO2 emissions on account of increased R&D investment in energy-saving technology and expanded clean energy use. Hence, in order to effectively achieve emission reduction, local governments should consider all these factors as well as regional heterogeneity in formulating appropriate mitigation policies. |
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| Keywords: | The iron and steel industry Panel data models |
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