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Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011

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  • Shuai, Chenyang
  • Shen, Liyin
  • Jiao, Liudan
  • Wu, Ya
  • Tan, Yongtao

Abstract

Global warming caused by carbon emission has been recognized as a threat to public health and welfare. Carbon emission reduction is therefore a necessary task for each country to address the severe challenges arising from global warming. This research combines the STIRPAT model with the use of the panel and time-series data to analyze the impacts of population, affluence and technology on the carbon emission of 125 countries at different income levels over the period of 1990–2011. The results show that the key impact factor (KIF) at global level is affluence, followed by technology and population in the order of their impacts on carbon emission. For countries at high-income (HI) level, technology has the greatest impact on carbon emission, while affluence has the least. Affluence, prior to technology and population, is identified as the KIF of carbon emission for countries at upper-middle-income (UMI) and lower-middle-income (LMI) levels. When it comes to the low-income (LI) level, affluence serves as the factor greatest affecting on carbon emission, and technology has the least impact. In particular, two generic patterns are identified based on the empirical results: higher income leads to greater impact of the technology and lower impact of the affluence on carbon emission. The KIFs of different income level countries identified in this study provide policy-makers and practitioners with valuable references for adopting effective policies and strategies to stimulate the global carbon emission reduction.

Suggested Citation

  • Shuai, Chenyang & Shen, Liyin & Jiao, Liudan & Wu, Ya & Tan, Yongtao, 2017. "Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011," Applied Energy, Elsevier, vol. 187(C), pages 310-325.
    • Handle: RePEc:eee:appene:v:187:y:2017:i:c:p:310-325
    DOI: 10.1016/j.apenergy.2016.11.029
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    as
    1. Zhang, Xing-Ping & Cheng, Xiao-Mei, 2009. "Energy consumption, carbon emissions, and economic growth in China," Ecological Economics, Elsevier, vol. 68(10), pages 2706-2712, August.
    2. Miketa, Asami & Mulder, Peter, 2005. "Energy productivity across developed and developing countries in 10 manufacturing sectors: Patterns of growth and convergence," Energy Economics, Elsevier, vol. 27(3), pages 429-453, May.
    3. Ockwell, David G. & Watson, Jim & MacKerron, Gordon & Pal, Prosanto & Yamin, Farhana, 2008. "Key policy considerations for facilitating low carbon technology transfer to developing countries," Energy Policy, Elsevier, vol. 36(11), pages 4104-4115, November.
    4. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    5. Bilgen, S., 2014. "Structure and environmental impact of global energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 890-902.
    6. Li, Huanan & Mu, Hailin & Zhang, Ming & Gui, Shusen, 2012. "Analysis of regional difference on impact factors of China’s energy – Related CO2 emissions," Energy, Elsevier, vol. 39(1), pages 319-326.
    7. Zhang, Chuanguo & Zhao, Wei, 2014. "Panel estimation for income inequality and CO2 emissions: A regional analysis in China," Applied Energy, Elsevier, vol. 136(C), pages 382-392.
    8. Chun Deng & Jie-Fang Dong, 2016. "Coal Consumption Reduction in Shandong Province: A Dynamic Vector Autoregression Model," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    9. Ozturk, Ilhan & Bilgili, Faik, 2015. "Economic growth and biomass consumption nexus: Dynamic panel analysis for Sub-Sahara African countries," Applied Energy, Elsevier, vol. 137(C), pages 110-116.
    10. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    11. Li, Ming-Jia & Song, Chen-Xi & Tao, Wen-Quan, 2016. "A hybrid model for explaining the short-term dynamics of energy efficiency of China’s thermal power plants," Applied Energy, Elsevier, vol. 169(C), pages 738-747.
    12. Mehrara Mohsen & Abbas ali Rezaei, 2013. "A Panel Estimation of the Relationship Between Trade Liberalization, Economic Growth and CO2 Emissions in BRICS Countries," Hyperion Economic Journal, Faculty of Economic Sciences, Hyperion University of Bucharest, Romania, vol. 1(4), pages 3-27, December.
    13. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    14. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    15. Bo Li & Xuejing Liu & Zhenhong Li, 2015. "Using the STIRPAT model to explore the factors driving regional CO 2 emissions: a case of Tianjin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(3), pages 1667-1685, April.
    16. Chiu, Fan-Ping & Kuo, Hsiao-I. & Chen, Chi-Chung & Hsu, Chia-Sheng, 2015. "The energy price equivalence of carbon taxes and emissions trading—Theory and evidence," Applied Energy, Elsevier, vol. 160(C), pages 164-171.
    17. Xu, Bin & Lin, Boqiang, 2016. "Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model," Applied Energy, Elsevier, vol. 161(C), pages 375-386.
    18. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    19. Wang, Mingwei & Che, Yue & Yang, Kai & Wang, Min & Xiong, Lijun & Huang, Yuchi, 2011. "A local-scale low-carbon plan based on the STIRPAT model and the scenario method: The case of Minhang District, Shanghai, China," Energy Policy, Elsevier, vol. 39(11), pages 6981-6990.
    20. Liyin Shen & Chenyang Shuai & Liudan Jiao & Yongtao Tan & Xiangnan Song, 2016. "A Global Perspective on the Sustainable Performance of Urbanization," Sustainability, MDPI, vol. 8(8), pages 1-16, August.
    21. Burnett, J. Wesley & Bergstrom, John C. & Wetzstein, Michael E., 2013. "Carbon dioxide emissions and economic growth in the U.S," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1014-1028.
    22. Zhou, Yang & Liu, Yansui, 2016. "Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China," Applied Energy, Elsevier, vol. 180(C), pages 800-809.
    23. Lise, Wietze, 2006. "Decomposition of CO2 emissions over 1980-2003 in Turkey," Energy Policy, Elsevier, vol. 34(14), pages 1841-1852, September.
    24. Nian, Victor & Chou, S.K. & Su, Bin & Bauly, John, 2014. "Life cycle analysis on carbon emissions from power generation – The nuclear energy example," Applied Energy, Elsevier, vol. 118(C), pages 68-82.
    25. Baek, Jungho, 2015. "A panel cointegration analysis of CO2 emissions, nuclear energy and income in major nuclear generating countries," Applied Energy, Elsevier, vol. 145(C), pages 133-138.
    26. Zhang, Yue-Jun, 2013. "Speculative trading and WTI crude oil futures price movement: An empirical analysis," Applied Energy, Elsevier, vol. 107(C), pages 394-402.
    27. Tan, Xianchun & Dong, Lele & Chen, Dexue & Gu, Baihe & Zeng, Yuan, 2016. "China’s regional CO2 emissions reduction potential: A study of Chongqing city," Applied Energy, Elsevier, vol. 162(C), pages 1345-1354.
    28. Stern,Nicholas, 2007. "The Economics of Climate Change," Cambridge Books, Cambridge University Press, number 9780521700801, September.
    29. Yue, Ting & Long, Ruyin & Chen, Hong & Zhao, Xin, 2013. "The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach," Applied Energy, Elsevier, vol. 112(C), pages 1510-1517.
    30. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    31. Michael Fritsch & Martina Kauffeld-Monz, 2010. "The impact of network structure on knowledge transfer: an application of social network analysis in the context of regional innovation networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(1), pages 21-38, February.
    32. Wang, Ping & Wu, Wanshui & Zhu, Bangzhu & Wei, Yiming, 2013. "Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China," Applied Energy, Elsevier, vol. 106(C), pages 65-71.
    33. Li Li & Xuefei Hong & Dengli Tang & Ming Na, 2016. "GHG Emissions, Economic Growth and Urbanization: A Spatial Approach," Sustainability, MDPI, vol. 8(5), pages 1-16, May.
    34. Faruk G rsoy & H seyin Kalyoncu, 2012. "Foreign Direct Investment and Growth Relationship in Georgia," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 267-271.
    35. Shimada, Koji & Tanaka, Yoshitaka & Gomi, Kei & Matsuoka, Yuzuru, 2007. "Developing a long-term local society design methodology towards a low-carbon economy: An application to Shiga Prefecture in Japan," Energy Policy, Elsevier, vol. 35(9), pages 4688-4703, September.
    36. Shahbaz, muhammad & Solarin, Sakiru Adebola & Sbia, Rashid & Bibi, Sadia, 2015. "Does Energy Intensity Contribute to CO2 Emissions? A Trivariate Analysis in Selected African Countries," MPRA Paper 64335, University Library of Munich, Germany, revised 19 Mar 2015.
    37. Shi, Kaifang & Chen, Yun & Yu, Bailang & Xu, Tingbao & Chen, Zuoqi & Liu, Rui & Li, Linyi & Wu, Jianping, 2016. "Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis," Applied Energy, Elsevier, vol. 168(C), pages 523-533.
    38. Zhang, Chuanguo & Liu, Cong, 2015. "The impact of ICT industry on CO2 emissions: A regional analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 12-19.
    39. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    40. Cansino, José M. & Román, Rocío & Ordóñez, Manuel, 2016. "Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis," Energy Policy, Elsevier, vol. 89(C), pages 150-159.
    41. Chatzizacharia, Kalliopi & Benekis, Vasilis & Hatziavramidis, Dimitris, 2016. "A blueprint for an energy policy in Greece with considerations of climate change," Applied Energy, Elsevier, vol. 162(C), pages 382-389.
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