Abstract
It is important to analyze the influence mechanism of energy-related carbon emissions from a regional perspective to effectively achieve reductions in energy consumption and carbon emissions in China. Based on the “energy-economy-carbon emissions” hybrid input-output analysis framework, this study conducted structural decomposition analysis (SDA) on carbon emissions influencing factors in Guangdong Province. Systems-based examination of direct and indirect drivers for regional emission is presented. (1) Direct effects analysis of influencing factors indicated that the main driving factors of increasing carbon emissions were economic and population growth. Carbon emission intensity was the main contributing factor restraining carbon emissions growth. (2) Indirect effects analysis of influencing factors showed that international and interprovincial trades significantly affected the total carbon emissions. (3) Analysis of the effects of different final demands on the carbon emissions of industrial sector indicated that the increase in carbon emission arising from international and interprovincial trades is mainly concentrated in energy- and carbon-intensive industries. (4) Guangdong had to compromise a certain amount of carbon emissions during the development of its export-oriented economy because of industry transfer arising from the economic globalization, thereby pointing to the existence of the “carbon leakage” problem. At the same time, interprovincial export and import resulted in Guangdong transferring a part of its carbon emissions to other provinces, thereby leading to the occurrence of “carbon transfer.”
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11356-017-0114-z/MediaObjects/11356_2017_114_Fig1_HTML.gif)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11356-017-0114-z/MediaObjects/11356_2017_114_Fig2_HTML.gif)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11356-017-0114-z/MediaObjects/11356_2017_114_Fig3_HTML.gif)
Similar content being viewed by others
References
Andreoni V, Galmarini S (2016) Drivers in CO2 emissions variation: a decomposition analysis for 33 world countries. Energy 103:27–37
Ang BW, Zhang FQ (2000) A survey of index decomposition analysis in energy and environmental studies. Energy 25:1149–1176
Bloch H, Rafiq S, Salim R (2012) Coal consumption, CO2 emission and economic growth in China: empirical evidence and policy responses. Energy Econ 34:518–528
Boamah KB, Du J, Bediako IA, Boamah AJ, Abdul-Rasheed AA, Owusu SM (2017) Carbon dioxide emission and economic growth of China—the role of international trade. Environ Sci Pollut Res 24:13049–13067
Chen B, Li JS, Chen GQ, Wei WD, Yang Q, Yao MT, Shao JA, Zhou M, Xia XH, Dong KQ, Xia HH, Chen HP (2017a) China’s energy-related mercury emissions: characteristics, impact of trade and mitigation policies. J Clean Prod 141:1259–1266
Chen B, Yang Q, Li JS, Chen GQ (2017b) Decoupling analysis on energy consumption, embodied GHG emissions and economic growth—the case study of Macao. Renew Sust Energ Rev 67:662–672
Chen GQ, Zhang B (2010) Greenhouse gas emissions in China 2007: inventory and input-output analysis. Energy Policy 38:6180–6193
Chen GQ, Guo S, Shao L, Li JS, Chen Z-M (2013) Three-scale input–output modeling for urban economy: carbon emission by Beijing 2007. Commun Nonlinear Sci Numer Simul 18:2493–2506
Cui E, Ren L, Sun H (2016): Analysis of energy-related CO2 emissions and driving factors in five major energy consumption sectors in China. Environmental Science and Pollution Research, 1–8
Cyranoski D (2007) China struggles to square growth and emissions. Nature 446:954–955
Davis SJ, Caldeira K (2010) Consumption-based accounting of CO2 emissions. Proc Natl Acad Sci U S A 107:5687–5692
De Boer P (2008) Additive structural decomposition analysis and index number theory: an empirical application of the Montgomery decomposition. Econ. Systems Res. 20:97–109
Dietzenbacher E, Los B (1998) Structural decomposition techniques: sense and sensitivity. Econ Systems Res 10:307–324
Dong Y, Ishikawa M, Liu X, Wang C (2010) An analysis of the driving forces of CO2 emissions embodied in Japan–China trade. Energy Policy 38:6784–6792
Fei L, Dong S, Xue L, Liang Q, Yang W (2011) Energy consumption-economic growth relationship and carbon dioxide emissions in China. Energy Policy 39:568–574
Feng K, Hubacek K, Guan D (2009) Lifestyles, technology and CO2 emissions in China: a regional comparative analysis. Ecolog Econ 69:145–154
Feng K, Siu YL, Guan D, Hubacek K (2012) Analyzing drivers of regional carbon dioxide emissions for China. J Ind Ecol 16:600–611
Feng K, Davis SJ, Sun L, Li X, Guan D, Liu W, Liu Z, Hubacek K (2013) Outsourcing CO2 within China. Proc Natl Acad Sci 110:11654–11659
Feng K, Davis SJ, Sun L, Hubacek K (2015) Drivers of the US CO2 emissions 1997–2013. Nat Commun 6:7714
Geng Y, Zhao H, Liu Z, Xue B, Fujita T, Xi F (2013) Exploring driving factors of energy-related CO2 emissions in Chinese provinces: a case of Liaoning. Energy Policy 60:820–826
Guan D, Hubacek K, Weber CL, Peters GP, Reiner DM (2008) The drivers of Chinese CO2 emissions from 1980 to 2030. Glob Environ Chang 18:626–634
Guan D, Peters GP, Weber CL, Hubacek K (2009) Journey to world top emitter: an analysis of the driving forces of China’s recent CO2 emissions surge. Geophys Res Lett 36:L04709
Guo X, Ren D, Shi J (2016) Carbon emissions, logistics volume and GDP in China: empirical analysis based on panel data model. Environ Sci Pollut Res 23:24758–24767
Hoekstra R, van den Bergh JCJM (2002) Structural decomposition analysis of physical flows in the economy. Environ Resour Econ 23:357–378
Hoekstra R, van den Bergh JCJM (2003) Comparing structural decomposition analysis and index. Energy Econ 25:39–64
Kang J, Zhao T, Liu N, Zhang X, Xu X, Lin T (2014) A multi-sectoral decomposition analysis of city-level greenhouse gas emissions: case study of Tianjin, China. Energy 68:562–571
Leontief W (1970) Environmental repercussions and the economic structure: an input-output approach. RvE&S 52:262–271
Leontief WW (1936) Quantitative input and output relations in the economic systems of the United States. RvE&S 18:105–125
Li B, Liu X, Li Z (2015) Using the STIRPAT model to explore the factors driving regional CO2 emissions: a case of Tianjin. China Nat Hazards 76:1667–1685
Li H, Mu H, Zhang M, Li N (2011) Analysis on influence factors of China’s CO2 emissions based on Path–STIRPAT model. Energy Policy 39:6906–6911
Li JS, Chen GQ, Chen B, Yang Q, Wei WD, Wang P, Dong KQ, Chen HP (2017) The impact of trade on fuel-related mercury emissions in Beijing—evidence from three-scale input-output analysis. Renew Sust Energ Rev 75:742–752
Li Y, Hewitt CN (2008) The effect of trade between China and the UK on national and global carbon dioxide emissions. Energy Policy 36:1907–1914
Liang Q-M, Fan Y, Wei Y-M (2007) Multi-regional input-output model for regional energy requirements and CO2 emissions in China. Energy Policy 35:1685–1700
Liang S, Zhang T (2011) What is driving CO2 emissions in a typical manufacturing center of South China? The case of Jiangsu Province. Energy Policy 39:7078–7083
Lin B, Sun C (2010) Evaluating carbon dioxide emissions in international trade of China. Energy Policy 38:613–621
Liu L-C, Fan Y, Wu G, Wei Y-M (2007) Using LMDI method to analyzed the change of China’s industrial CO2 emissions from final fuel use: an empirical analysis. Energy Policy 35:5892–5900
Liu Z, Guan D, Crawford-Brown D, Zhang Q, He K, Liu J (2013) A low-carbon road map for China. Nature 500:143–145
Malakoff D (2014) China’s peak carbon pledge raises pointed questions. Science 346:903
Maraseni TN, Qu J, Yue B, Zeng J, Maroulis J (2016) Dynamism of household carbon emissions (HCEs) from rural and urban regions of northern and southern China. Environ Sci Pollut Res 23:20553–20566
Meng L, Guo J, Chai J, Zhang Z (2011) China’s regional CO2 emissions: characteristics, inter-regional transfer and emission reduction policies. Energy Policy 39:6136–6144
Meng M, Niu D, Shang W (2012) CO2 emissions and economic development: China’s 12th five-year plan. Energy Policy 42:468–475
Minx JC, Baiocchi G, Peters GP, Weber CL, Guan D, Hubacek K (2011) A “carbonizing dragon”: China’s fast growing CO2 emissions revisited. Environ Sci Technol 45:9144–9153
Peters GP, Weber CL, Guan D, Hubacek K (2007) China’s growing CO2 emissions—a race between increasing consumption and efficiency gains. Environ Sci Technol. 41:5939–5944
Qiu J (2009) China’s climate target: is it achievable? Nature 462:550–551
Qiu J (2011) China unveils green targets. Nature 471:149–149
Rørmose P, Olsen T (2005) Structural decomposition analysis of air emissions in Denmark 1980–2002. 15th International Conference on Input-Output Techniques, Beijing, China, June 27 to July 1, 2005, Conference Paper, pp 1–36
Rose A, Casler S (1996) Input–output structural decomposition analysis: a critical appraisal. Econ. Systems Res. 8:33–62
Shao S, Yang L, Yu M, Yu M (2011) Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994–2009. Energy Policy 39:6476–6494
Steckel JC, Jakob M, Marschinski R, Luderer G (2011) From carbonization to decarbonization?—past trends and future scenarios for China’s CO2 emissions. Energy Policy 39:3443–3455
Su B, Ang BW (2010) Input–output analysis of CO2 emissions embodied in trade: the effects of spatial aggregation. Ecolog. Econ. 70:10–18
Su B, Huang HC, Ang BW, Zhou P (2010) Input–output analysis of CO2 emissions embodied in trade: the effects of sector aggregation. Energy Econ 32:166–175
Su B, Ang BW (2012a) Structural decomposition analysis applied to energy and emissions: aggregation issues. Econ. Systems Res. 24:299–317
Su B, Ang BW (2012b) Structural decomposition analysis applied to energy and emissions: some methodological developments. Energy Econ 34:177–188
Su B, Ang BW (2013) Input–output analysis of CO2 emissions embodied in trade: competitive versus non-competitive imports. Energy Policy 56:83–87
Su B, Ang BW, Low M (2013) Input-output analysis of CO2 emissions embodied in trade and the driving forces: processing and normal exports. Ecolog. Econ. 88:119–125
Su B, Ang BW (2014) Input–output analysis of CO2 emissions embodied in trade: a multi-region model for China. ApEn 114:377–384
Su B, Ang BW (2015) Multiplicative decomposition of aggregate carbon intensity change using input–output analysis. ApEn 154:13–20
Su B, Thomson E (2016) China’s carbon emissions embodied in (normal and processing) exports and their driving forces, 2006–2012. Energy Econ 59:414–422
Su B, Ang BW (2017) Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities. Energy Econ 65:137–147
Su B, Ang BW, Li Y (2017) Input-output and structural decomposition analysis of Singapore’s carbon emissions. Energy Policy 105:484–492
Tian X, Chang M, Tanikawa H, Shi F, Imura H (2013) Structural decomposition analysis of the carbonization process in Beijing: a regional explanation of rapid increasing carbon dioxide emission in China. Energy Policy 53:279–286
Wang C, Chen J, Zou J (2005) Decomposition of energy-related CO2 emission in China: 1957–2000. Energy 30:73–83
Wang C, Wang F, Zhang H, Ye Y, Wu Q, Su Y (2014) Carbon emissions decomposition and environmental mitigation policy recommendations for sustainable development in Shandong province. Sustainability 6:8164–8179
Wang C, Zhang X, Wang F, Lei J, Zhang L (2015) Decomposition of energy-related carbon emissions in Xinjiang and relative mitigation policy recommendations. Frontiers of Earth Science 9:65–76
Wang C, Wang F, Zhang H (2016a) The process of energy-related carbon emissions and influencing mechanism research in Xinjiang. Acta Ecol Sin 36:2151–2163
Wang C, Zhang X, Zhang H, Wang F (2016b) Influencing mechanism of energy-related carbon emissions in Xinjiang based on the input-output and structural decomposition analysis. Acta Geograph Sin 71:1105–1118
Wang C, Wang F (2017) China can lead on climate change. Science 357:764–764
Wang C, Wang F, Zhang X, Zhang H (2017a) Influencing mechanism of energy-related carbon emissions in Xinjiang based on the input-output and structural decomposition analysis. J Geogr Sci 27:365–384
Wang F, Wang C, Su Y, Jin L, Wang Y, Zhang X (2017b) Decomposition analysis of carbon emission factors from energy consumption in Guangdong Province from 1990 to 2014. Sustainability 9:274
Wang M, Feng C (2017) Decomposition of energy-related CO2 emissions in China: an empirical analysis based on provincial panel data of three sectors. ApEn 190:772–787
Wang P, Wu W, Zhu B, Wei Y (2013) Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China. ApEn 106:65–71
Wang SS, Zhou DQ, Zhou P, Wang QW (2011) CO2 emissions, energy consumption and economic growth in China: a panel data analysis. Energy Policy 39:4870–4875
Wang Z, Yin F, Zhang Y, Zhang X (2012) An empirical research on the influencing factors of regional CO2 emissions: evidence from Beijing city, China. ApEn 100:277–284
Wang Z, Liu W (2015) Determinants of CO2 emissions from household daily travel in Beijing, China: individual travel characteristic perspectives. ApEn 158:292–299
Xu M, Allenby B, Chen W (2009) Energy and air emissions embodied in China−U.S. trade: eastbound assessment using adjusted bilateral trade data. Environ Sci Technol. 43:3378–3384
Xu S-C, Zhang L, Liu Y-T, Zhang W-W, He Z-X, Long R-Y, Chen H (2017) Determination of the factors that influence increments in CO2 emissions in Jiangsu, China using the SDA method. J Clean Prod 142:3061–3074
Zeng N, Ding Y, Pan J, Wang H, Gregg J (2008) Climate change—the Chinese challenge. Science 319:730–731
Zhang X-P, Cheng X-M (2009) Energy consumption, carbon emissions, and economic growth in China. Ecolog Econ 68:2706–2712
Zhang Z, Zhao Y, Su B, Zhang Y, Wang S, Liu Y, Li H (2017) Embodied carbon in China’s foreign trade: an online SCI-E and SSCI based literature review. Renew Sust Energ Rev 68:492–510
Zhao M, Tan L, Zhang W, Ji M, Liu Y, Yu L (2010) Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method. Energy 35:2505–2510
Zhou X, Guan X, Zhang M, Zhou Y, Zhou M (2017) Allocation and simulation study of carbon emission quotas among China’s provinces in 2020. Environ Sci Pollut Res 24:7088–7113
Funding
This work was supported by the National Natural Science Foundation of China (No. 41501144, 41671130), the National Key Research and Development Program (No. 2016YFA0602801), the Guangdong Academy of Sciences Youth Science Foundation (qnjj201501), the Foundation of Director of Guangzhou Institute of Geography (030), the High-level Leading Talent Introduction Program of GDAS (2016GDASRC-0101), and the Scientific Platform and Innovation Capability Construction Program of GDAS (2016GDASPT-0210).
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible editor: Philippe Garrigues
Highlights
• Energy-economy-carbon emissions hybrid input-output analysis for regional emission modeling is conducted.
• Comprehensive structural decomposition analysis of temporal variations in regional emission factors is made.
• Systems-based examination of direct and indirect drivers for regional emission is presented.
• How international and interprovincial trades affect regional carbon emission are distinguished.
• Interprovincial carbon emission transfer from developed regions to developing regions is explained.
Rights and permissions
About this article
Cite this article
Wang, C., Wang, F., Zhang, X. et al. Analysis of influence mechanism of energy-related carbon emissions in Guangdong: evidence from regional China based on the input-output and structural decomposition analysis. Environ Sci Pollut Res 24, 25190–25203 (2017). https://doi.org/10.1007/s11356-017-0114-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-017-0114-z