Exploring the nexus of energy consumption structure and CO2 emissions in China: Empirical evidence based on the translog production function

• Autorzy: Hao Y. , Huang Y.-N.
• Języki publikacji: EN

Abstrakty

EN

With the rapid development of China’s economy, CO₂ emissions have surged and environmental pollution has become increasingly serious, drawing broad attention domestically and overseas. To improve China’s environmental quality, the Chinese government has set a series of ambitious goals to control carbon intensity and even cut total CO₂ emissions. China’s energy consumption structure relies heavily on coal, which is the largest contributor to CO₂ emissions in China. However, so far research on the relationship between energy consumption structure and CO₂ emissions in China remains scarce. This paper investigates this topic for the first time and calculates the input-output and alternative elasticities and impacts the energy consumption structure on carbon emissions per capita on the basis of the translog production function as the theoretical framework. The empirical results suggest that to substitute coal with oil or gas may decrease CO₂ emissions significantly, and replacing coal with gas is the optimal choice. As such, improving China’s energy structure by increasing the share of gas and decreasing the reliance on coal would cut China’s CO₂ emissions remarkably and benefit China’s environmental quality.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2018
• Tom: 27
• Numer: 6
• Opis fizyczny: p.2541-2551,fig.,ref.

Twórcy

autor

Hao Y.

• Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, P.R. China Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, P.R. China Sustainable Development Research Institute for Economy and Society of Beijing, Beijing, P.R. China Beijing Key Lab of Energy Economics and Environmental Management, Beijing, P.R. China
• School of Management and Economics, Beijing Institute of Technology, Beijing, P.R. China

autor

Huang Y.-N.

• School of Management and Economics, Beijing Institute of Technology, Beijing, P.R. China

Bibliografia

• 1. WANG C., CHEN J., ZOU J. Decomposition of energy-related CO₂ emission in China: 1957-2000. Energy, 30 (1), 73, 2005.
• 2. FAN Y., LIU L. C., WU G., WEI Y. M. Analyzing impact factors of CO₂ emissions using the STIRPAT model. Environmental Impact Assessment Review, 26 (4), 377, 2006.
• 3. YUPING W.U., XIAOSHI L.V. Empirical analysis on the impact factors of carbon emission in the process of new-type urbanization in Henan. Value Engineering, 2016.
• 4. ZHOU P., ANG B.W., HAN J.Y. Total factor carbon emission performance: a Malmquist index analysis. Energy Economics, 32(1), 194-201, 2010.
• 5. SONG B., SU F. Panel data analysis about influencing factors of carbon emission of eastern China central China and western China. Areal Research & Development, 2011.
• 6. ZHANG X.P., CHENG X.M. Energy consumption, carbon emissions, and economic growth in China. Ecological Economics, 68 (10), 2706, 2009.
• 7. WANG S.S., ZHOU D.Q., ZHOU P., WANG Q.W. CO₂ emissions, energy consumption and economic growth in China: a panel data analysis. Energy Policy, 39 (9), 4870, 2011.
• 8. KANG, W.X., YAO, L.H., HE, J.N., XIAO, J.W., WANG, D. The relationship between energy consumption and carbon emissiont with economic growth in Liaoning province. Acta Ecologica Sinica, 32 (19), 6168, 2012.
• 9. OMRI A. CO₂ emissions, energy consumption and economic growth nexus in MENA countries: evidence from simultaneous equations models. Energy Economics, 40, 657, 2013.
• 10. HAN H., WANG X., MA G. Analysis on energy consumption carbon emission and influencing factors in Shaanxi province. Shandong Agricultural Sciences, 2015.
• 11. WU F., FAN L.W., ZHOU P., ZHOU D.Q. Industrial energy efficiency with CO₂ emissions in China: a nonparametric analysis. Energy Policy, 49, 164, 2012.
• 12. SUN J. Changes in energy consumption and energy intensity: a complete decomposition model. Energy Economics, 20 (1), 85, 1998.
• 13. ZHANG Z. Why did the energy intensity fall in China’s industrial sector in the 1990s? The relative importance of structural change and intensity change. Energy Economics, 25 (6), 625, 2003.
• 14. FENG T., SUN L., ZHANG Y. The relationship between energy consumption structure, economic structure and energy intensity in China. Energy Policy, 37 (12), 5475, 2009.
• 15. ZHAO T., REN X.S. The Empirical Research of the Causality Relationship between CO₂, Emissions Intensity, Energy Consumption Structure, Energy Intensity and Industrial Structure in China. The 19th International Conference on Industrial Engineering and Engineering Management. Springer Berlin Heidelberg. 601, 2013.
• 16. WANG S., WEIYANG Y.U. Sensitivity analysis of primary energy consumption structural change and carbon intensity. Resources Science, 35 (7), 1438, 2013.
• 17. LI W., OU Q.X. Decomposition of China’s carbon emissions intensity from 1995 to 2010: an extended kaya identity. Mathematical Problems in Engineering, 2013 (3), 1, 2013.
• 18. ROSAS J., SHEINBAUM C., MORILLON D. The structure of household energy consumption and related CO₂, emissions by income group in mexico. Energy for Sustainable Development, 14 (2), 127, 2010.
• 19. LIU W., LI H. Improving energy consumption structure: a comprehensive assessment of fossil energy subsidies reform in China. Energy Policy, 39 (7), 4134, 2011.
• 20. LIU Y., ZHAO G., ZHAO Y. An analysis of Chinese provincial carbon dioxide emission efficiencies based on energy consumption structure. Energy Policy, 96, 524-533, 2016.
• 21. GOVINDARAJU V.C., TANG C.F. The dynamic links between CO₂ emissions, economic growth and coal consumption in China and India. Applied Energy, 104, 310, 2013.
• 22. LONG X., NAMINSE E.Y., DU J., ZHUANG J. Nonrenewable energy, renewable energy, carbon dioxide emissions and economic growth in China from 1952 to 2012. Renewable and Sustainable Energy Reviews, 52, 680, 2015.
• 23. CHRISTENSEN L.R., JORGENSON D.W., LAU L.J. Transcendental logarithmic production frontiers. The Review of Economics and Statistics, 55 (1), 28, 1973.
• 24. KIM H.Y. The translog production function and variable returns to scale. The Review of Economics and Statistics, 74 (3), 546, 1992.
• 25. AUFFHAMMER M., CARSON R.T. Forecasting the path of China’s CO₂ emissions using province-level information. Journal of Environmental Economics and Management, 55 (3), 229, 2008.
• 26. DU L., WEI C., CAI S. Economic development and carbon dioxide emissions in China: Provincial panel data analysis. China Economic Review, 23 (2), 371, 2012.
• 27. ARELLANO M., BOND S. Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The review of economic studies, 58 (2), 277, 1991.
• 28. ARELLANO M., BOVER O. Another look at the instrumental variable estimation of error-components models. Journal of econometrics, 68 (1), 29, 1995.

Identyfikatory

DOI

10.15244/pjoes/81071