Exploring carbon emissions in China’s electric power industry for low-carbon development: drivers, decoupling analysis and policy implications

• Autorzy: Li Y. , Wang Q.
• Języki publikacji: EN

Abstrakty

EN

As an important single source to carbon emissions, China’s power industry should bear social responsibility for mitigating climate change. To explore what low-carbon development means for the industry, a novel approach that combines the extended multilevel LMDI model with Tapio algorithm was conducted to study the drivers of carbon emissions in the power industry and whether CO₂ emissions from power output is out of sync with economic development, covering the period from 1996 to 2016. Our results come to the following: 1. Carbon emissions from electricity output are characterized by increases and volatility, with an average annual growth rate of 7.05%. The carbon emission factor of electricity, facilitating to compute CO₂ data, shows a decline. 2. The positive driving factors are economic activity effect (169.53%), population scale effect (9.29%), fuel mix structure effect (0.41%), and electricity trade effect (1.05%); the negative driving factors are electricity intensity effect (-46.38%), power generation efficiency effect (-24.93%), and power generation structure effect (-8.97%). 3. Weak decoupling and expansive decoupling are the main status during the research period. The electricity intensity effect is the main force to promote the decoupling process. 4. The market-oriented reform in the power industry in 2003 has a significant effect. The generation-side competition mechanism successfully changes the historical developmental trend of the decoupling elastic index.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2019
• Tom: 28
• Numer: 5
• Opis fizyczny: p.3353-3367,fig.,ref.

Twórcy

autor

Li Y.

• Department of Economics and Management, North China Electric Power University, Baoding, China

autor

Wang Q.

• Department of Economics and Management, North China Electric Power University, Baoding, China

Bibliografia

• 1. AGHAHOSSEINI A., BOGDANOV D., GHORBANI N., BREYER C. Analysis of 100% renewable energy for Iran in 2030: integrating solar PV, wind energy and storage. International Journal of Environmental Science and Technology, 15 (1), 17, 2018.
• 2. SUN W., XU Y. Using a back propagation neural network based on improved particle swarm optimization to study the influential factors of carbon dioxide emissions in Hebei Province, China. Journal of Cleaner Production, 112, 1282, 2016.
• 3. SMOL J.P. Climate Change: A planet in flux. Nature, 483 (7387), S12, 2012.
• 4. Statistical Review of World Energy 2015. Available online: www.bp.com/statisticalreview (accessed on 27 March 2018)
• 5. GAO Y., CHENG H., ZHU J., LIANG H., LI P. The Optimal Dispatch of a Power System Containing Virtual Power Plants under Fog and Haze Weather. Sustainability, 8 (1), 71, 2016.
• 6. XIAOYE Z., JUNYING S., YAQIANG W., WEIJUN L., QIANG Z., WEIGANG W., JIANNONG Q., GUOLIANG C., JIZHI W., YUANQIN Y., YANGMEI Z. Factors contributing to haze and fog in China. Chinese Science Bulletin, 58 (13), 1178, 2013.
• 7. MENG M., JING K., MANDER S. Scenario analysis of CO₂ emissions from China’s electric power industry. Journal of Cleaner Production, 142, 3101, 2017.
• 8. National Bureau of Statistics. China Energy Statistical Yearbook; China Statistics Press: Beijing, 96-101, China, 2017 [In Chinese].
• 9. WANG Q., JIANG X., LI R. Comparative decoupling analysis of energy-related carbon emission from electric output of electricity sector in Shandong Province, China. Energy, 127, 78, 2017.
• 10. LIU N., MA Z., KANG J. A regional analysis of carbon intensities of electricity generation in China. Energy Economics, 67, 268, 2017.
• 11. SUN W., HE Y., GAO H. An Electric Carbon Productivity Analysis of China’s Industrial Sector Using Multi-Dimensional Decomposition. Polish Journal of Environmental Studies, 25 (4), 1699, 2016.
• 12. JIANG X., LI R. Decoupling and Decomposition Analysis of Carbon Emissions from Electric Output in the United States. Sustainability, 9 (6), 886, 2017.
• 13. SUN W., HE Y., CHANG H. Regional characteristics of CO₂ emissions from China’s power generation: affinity propagation and refined Laspeyres decomposition. International Journal of Global Warming, 11 (1), 38, 2017.
• 14. ZHOU J., GUANG F., DU S. Decomposing the Decoupling of Carbon Emissions and Economic Growth in China’s Power Industry. Polish Journal of Environmental Studies, 26 (5), 2407, 2017.
• 15. ZHANG C., ZHANG M., ZHANG N. CO₂ Emissions from the Power Industry in the China’s Beijing-Tianjin-Hebei Region: Decomposition and Policy Analysis. Polish Journal of Environmental Studies, 26 (2), 903, 2017.
• 16. YAN D., LEI Y., LI L. Driving Factor Analysis of Carbon Emissions in China’s Power Sector for Low-Carbon Economy. Mathematical Problems in Engineering, 2017, 1, 2017.
• 17. KARMELLOS M., KOPIDOU D., DIAKOULAKI D. A decomposition analysis of the driving factors of CO₂ (Carbon dioxide) emissions from the power sector in the European Union countries. Energy, 94, 680, 2016.
• 18. NOORPOOR A.R., KUDAHI S.N. CO₂ emissions from Iran’s power sector and analysis of the influencing factors using the stochastic impacts by regression on population, affluence and technology (STIRPAT) model. Carbon Management, 6 (3-4), 101, 2015.
• 19. STEENHOF P.A., WEBER C.J. An assessment of factors impacting Canada’s electricity sector’s GHG emissions. Energy Policy, 39 (7), 4089, 2011.
• 20. ANG B.W., SU B. Carbon emission intensity in electricity production: A global analysis. Energy Policy, 94, 56, 2016.
• 21. ANG B.W., GOH T. Carbon intensity of electricity in ASEAN: Drivers, performance and outlook. Energy Policy, 98, 170, 2016.
• 22. CHEN G., HOU F., CHANG K. Regional decomposition analysis of electric carbon productivity from the perspective of production and consumption in China. Environmental Science and Pollution Research, 25 (2), 1508, 2018.
• 23. ANG B.W. LMDI decomposition approach: A guide for implementation. Energy Policy, 86, 233, 2015.
• 24. ANG B.W. Decomposition analysis for policymaking in energy. Energy Policy, 32 (9), 1131, 2004.
• 25. KRAFT J., KRAFT A. On the relationship between energy and GNP. Energy, 3 (2), 401, 1978.
• 26. ZHANG Q., LIAO H., HAO Y. Does one path fit all? An empirical study on the relationship between energy consumption and economic development for individual Chinese provinces. Energy, 150, 527, 2018.
• 27. APPIAH M.O. Investigating the multivariate Granger causality between energy consumption, economic growth and CO₂ emissions in Ghana. Energy Policy, 112, 198, 2018.
• 28. LU W. Greenhouse Gas Emissions, Energy Consumption and Economic Growth: A Panel Cointegration Analysis for 16 Asian Countries. International Journal of Environmental Research and Public Health, 14 (11), 1436, 2017.
• 29. Indicators to measure decoupling of environmental pressure from economic growth. Available online: http://www.oecd.org/environment/indicators-modelling-outlooks/1933638.pdf (accessed on 5 March 2018)
• 30. WU Y., ZHU Q., ZHU B. Comparisons of decoupling trends of global economic growth and energy consumption between developed and developing countries. Energy Policy, 116, 30, 2018.
• 31. NAQVI A., ZWICKL K. Fifty shades of green: Revisiting decoupling by economic sectors and air pollutants. Ecological Economics, 133, 111, 2017.
• 32. BOQIANG L., LIU K. Using LMDI to Analyze the Decoupling of Carbon Dioxide Emissions from China’s Heavy Industry. Sustainability, 9 (7), 1198, 2017.
• 33. ZHOU X., ZHANG M., ZHOU M., ZHOU M. A comparative study on decoupling relationship and influence factors between China’s regional economic development and industrial energy–related carbon emissions. Journal of Cleaner Production, 142, 783, 2017.
• 34. XU S., ZHANG W., HE Z., HAN H., LONG R., CHEN H. Decomposition analysis of the decoupling indicator of carbon emissions due to fossil energy consumption from economic growth in China. Energy Efficiency, 10 (6), 1365, 2017.
• 35. ZHANG M., BAI C., ZHOU M. Decomposition analysis for assessing the progress in decoupling relationship between coal consumption and economic growth in China. Resources, Conservation and Recycling, 129, 454, 2018.
• 36. MENG M., FU Y., WANG X. Decoupling, decomposition and forecasting analysis of China’s fossil energy consumption from industrial output. Journal of Cleaner Production, 177, 752, 2018.
• 37. ZHANG M., LIU X., WANG W., ZHOU M. Decomposition analysis of CO₂ emissions from electricity generation in China. Energy Policy, 52, 159, 2013.
• 38. TAPIO P. Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transport Policy, 12 (2), 137, 2005.
• 39. Guidelines for National Greenhouse Gas Inventories. Available online: www.ipcc-nggip.iges.or.jp/public/2006gl/vol2.html (accessed on 2 March 2018)
• 40. DOTSE S., DAGAR L., PETRA M.I., De SILVA L.C. Evaluation of national emissions inventories of anthropogenic air pollutants for Brunei Darussalam. Atmospheric Environment, 133, 81, 2016.
• 41. ARUNRAT N., WANG C., PUMIJUMNONG N. Reprint of Alternative cropping systems for greenhouse gases mitigation in rice field: a case study in Phichit province of Thailand. Journal of Cleaner Production, 134, 547, 2016.
• 42. YC X. The struggle for safe nuclear expansion in China. Energy Policy, 73, 21, 2014.
• 43. MOUSAVI B., LOPEZ N.S.A., BIONA J.B.M., CHIU A.S.F., BLESL M. Driving forces of Iran’s CO₂ emissions from energy consumption: An LMDI decomposition approach. Applied Energy, 206, 804, 2017.
• 44. KAHRL F., WILLIAMS J.H., HU J. The political economy of electricity dispatch reform in China. Energy Policy, 53, 361, 2013.
• 45. SHEN J., LUO C. Overall review of renewable energy subsidy policies in China – Contradictions of intentions and effects. Renewable and Sustainable Energy Reviews, 41, 1478, 2015.
• 46. SHANG W., PEI G., WALSH C., MENG M., MENG X. Have Market-oriented Reforms Decoupled China’s CO₂ Emissions from Total Electricity Generation? An Empirical Analysis. Sustainability, 8 (5), 468, 2016.

Identyfikatory

DOI

10.15244/pjoes/93929