IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v307y2022ics0306261921014884.html
   My bibliography  Save this article

Decoupling of economic growth from CO2 emissions in Yangtze River Economic Belt sectors: A sectoral correlation effects perspective

Author

Listed:
  • Rao, Guangming
  • Liao, Jiao
  • Zhu, Yanping
  • Guo, Lin

Abstract

For making clear decoupling state of sector economic growth from CO2 emissions in the input–output process, in this paper, we firstly explore the correlation effects of sector CO2 emissions by defining it as comprehensive effects of sector CO2 emissions from fossil energy consumption in the initial input, intermediate products, final products and circular correlation of the input–output process, and decomposing it into direct effect, full effect, Spreading effect and sensitive effect. Then we set up a methodology of correlation effects decoupling index to discover their decoupling status and sources. Finally, we concretely investigate the breakthrough points of sector CO2 emissions reduction in the case study of the Yangtze River Economic Belt (the YREB) sectors of China. The results show: (1) Correlation effects of CO2 emissions is higher in the YREB energy-intensive sectors. (2) The YREB sectors of decoupling of economic growth from CO2 emissions decreases obviously from 89.7% to 62.1% from 2007–2012 to 2013–2017, which is impacted by decoupling deterioration of correlation effects of CO2 emissions in the energy-intensive sectors. (3) The YREB key sectors of CO2 emissions reduction are the energy-intensive sectors with focus on the parts of decoupling deterioration of correlation effects of sector CO2 emissions. The proposed analysis framework is efficient for analyzing decoupling of correlation effects of CO2 emissions in the YREB sectors of China, and can also be applied to similar analysis and extended to multi-regional analysis.

Suggested Citation

  • Rao, Guangming & Liao, Jiao & Zhu, Yanping & Guo, Lin, 2022. "Decoupling of economic growth from CO2 emissions in Yangtze River Economic Belt sectors: A sectoral correlation effects perspective," Applied Energy, Elsevier, vol. 307(C).
  • Handle: RePEc:eee:appene:v:307:y:2022:i:c:s0306261921014884
    DOI: 10.1016/j.apenergy.2021.118223
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921014884
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2021.118223?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach," Energy, Elsevier, vol. 73(C), pages 741-750.
    2. Chandran Govindaraju, V.G.R. & Tang, Chor Foon, 2013. "The dynamic links between CO2 emissions, economic growth and coal consumption in China and India," Applied Energy, Elsevier, vol. 104(C), pages 310-318.
    3. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    4. Lenzen, Manfred, 2003. "Environmentally important paths, linkages and key sectors in the Australian economy," Structural Change and Economic Dynamics, Elsevier, vol. 14(1), pages 1-34, March.
    5. Tarancón, Miguel Ángel & del Río, Pablo & Callejas, Fernando, 2011. "Determining the responsibility of manufacturing sectors regarding electricity consumption. The Spanish case," Energy, Elsevier, vol. 36(1), pages 46-52.
    6. Lu Wan & Zi-Long Wang & Jhony Choon Yeong Ng, 2016. "Measurement Research on the Decoupling Effect of Industries’ Carbon Emissions—Based on the Equipment Manufacturing Industry in China," Energies, MDPI, vol. 9(11), pages 1-17, November.
    7. Tian, Peng & Lin, Boqiang, 2017. "Promoting green productivity growth for China's industrial exports: Evidence from a hybrid input-output model," Energy Policy, Elsevier, vol. 111(C), pages 394-402.
    8. Karen Turner & Michelle Gilmartin & Peter G. McGregor & J. Kim Swales, 2012. "An integrated IO and CGE approach to analysing changes in environmental trade balances," Papers in Regional Science, Wiley Blackwell, vol. 91(1), pages 161-180, March.
    9. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    10. Li, Li & Shan, Yuli & Lei, Yalin & Wu, Sanmang & Yu, Xiang & Lin, Xiyan & Chen, Yupei, 2019. "Decoupling of economic growth and emissions in China’s cities: A case study of the Central Plains urban agglomeration," Applied Energy, Elsevier, vol. 244(C), pages 36-45.
    11. Yang, Lin & Yang, Yuantao & Zhang, Xian & Tang, Kai, 2018. "Whether China's industrial sectors make efforts to reduce CO2 emissions from production? - A decomposed decoupling analysis," Energy, Elsevier, vol. 160(C), pages 796-809.
    12. Kang, Jidong & Zhao, Tao & Liu, Nan & Zhang, Xin & Xu, Xianshuo & Lin, Tao, 2014. "A multi-sectoral decomposition analysis of city-level greenhouse gas emissions: Case study of Tianjin, China," Energy, Elsevier, vol. 68(C), pages 562-571.
    13. Faturay, Futu & Vunnava, Venkata Sai Gargeya & Lenzen, Manfred & Singh, Shweta, 2020. "Using a new USA multi-region input output (MRIO) model for assessing economic and energy impacts of wind energy expansion in USA," Applied Energy, Elsevier, vol. 261(C).
    14. Igos, Elorri & Rugani, Benedetto & Rege, Sameer & Benetto, Enrico & Drouet, Laurent & Zachary, Daniel S., 2015. "Combination of equilibrium models and hybrid life cycle-input–output analysis to predict the environmental impacts of energy policy scenarios," Applied Energy, Elsevier, vol. 145(C), pages 234-245.
    15. Yan, Junna & Zhao, Tao & Kang, Jidong, 2016. "Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model," Applied Energy, Elsevier, vol. 171(C), pages 456-467.
    16. Xu, Shi-Chun & He, Zheng-Xia & Long, Ru-Yin, 2014. "Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI," Applied Energy, Elsevier, vol. 127(C), pages 182-193.
    17. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    18. Wang, Yuan & Wang, Wenqin & Mao, Guozhu & Cai, Hua & Zuo, Jian & Wang, Lili & Zhao, Peng, 2013. "Industrial CO2 emissions in China based on the hypothetical extraction method: Linkage analysis," Energy Policy, Elsevier, vol. 62(C), pages 1238-1244.
    19. Davidsdottir, B. & Fisher, M., 2011. "The odd couple: The relationship between state economic performance and carbon emissions economic intensity," Energy Policy, Elsevier, vol. 39(8), pages 4551-4562, August.
    20. Jeyhun I. Mikayilov & Fakhri J. Hasanov & Marzio Galeotti, 2018. "Decoupling of C02 Emissions and GDP: A Time-Varying Cointegration Approach," IEFE Working Papers 101, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    21. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    22. Hondo, Hiroki & Sakai, Shinsuke & Tanno, Shiro, 2002. "Sensitivity analysis of total CO2 emission intensities estimated using an input-output table," Applied Energy, Elsevier, vol. 72(3-4), pages 689-704, July.
    23. Liu, Wei & Li, Hong, 2011. "Improving energy consumption structure: A comprehensive assessment of fossil energy subsidies reform in China," Energy Policy, Elsevier, vol. 39(7), pages 4134-4143, July.
    24. Dabo Guan & Zhu Liu & Yong Geng & Sören Lindner & Klaus Hubacek, 2012. "The gigatonne gap in China’s carbon dioxide inventories," Nature Climate Change, Nature, vol. 2(9), pages 672-675, September.
    25. Zhu, Qin & Peng, Xizhe & Wu, Kaiya, 2012. "Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model," Energy Policy, Elsevier, vol. 48(C), pages 618-626.
    26. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2017. "Carbon allowance auction design of China's emissions trading scheme: A multi-agent-based approach," Energy Policy, Elsevier, vol. 102(C), pages 30-40.
    27. Junning Cai & Pingsun Leung, 2004. "Linkage Measures: a Revisit and a Suggested Alternative," Economic Systems Research, Taylor & Francis Journals, vol. 16(1), pages 63-83.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuan Kong & Chao Feng & Liyang Guo, 2022. "Peaking Global and G20 Countries’ CO 2 Emissions under the Shared Socio-Economic Pathways," IJERPH, MDPI, vol. 19(17), pages 1-19, September.
    2. Gong, Yuanyuan & Sun, Hui & Wang, Zhiwei & Ding, Chenxin, 2023. "Spatial correlation network pattern and evolution mechanism of natural gas consumption in China—Complex network-based ERGM model," Energy, Elsevier, vol. 285(C).
    3. Yinwen Huang & Dechun Huang, 2023. "Decoupling Economic Growth from Embodied Water–Energy–Food Consumption Based on a Modified MRIO Model: A Case Study of the Yangtze River Delta Region in China," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    4. Khan, Rabnawaz, 2023. "The impact of a new techno-nationalism era on eco-economic decoupling," Resources Policy, Elsevier, vol. 82(C).
    5. Fahmida Laghari & Farhan Ahmed & Hai-Xia Li & Štefan Bojnec, 2023. "Decoupling of Electricity Consumption Efficiency, Environmental Degradation and Economic Growth: An Empirical Analysis," Energies, MDPI, vol. 16(6), pages 1-21, March.
    6. Qikai Lu & Tiance Lv & Sirui Wang & Lifei Wei, 2023. "Spatiotemporal Variation and Development Stage of CO 2 Emissions of Urban Agglomerations in the Yangtze River Economic Belt, China," Land, MDPI, vol. 12(9), pages 1-20, August.
    7. Tao Shen & Runpu Hu & Peilin Hu & Zhang Tao, 2023. "Decoupling between Economic Growth and Carbon Emissions: Based on Four Major Regions in China," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
    8. Shiqing Zhang & Yaping Li & Zheng Liu & Xiaofei Kou & Wenlong Zheng, 2023. "Towards a Decoupling between Economic Expansion and Carbon Dioxide Emissions of the Transport Sector in the Yellow River Basin," Sustainability, MDPI, vol. 15(5), pages 1-26, February.
    9. Wang, Yaxian & Zhao, Zhenli & Wang, Wenju & Streimikiene, Dalia & Balezentis, Tomas, 2023. "Interplay of multiple factors behind decarbonisation of thermal electricity generation: A novel decomposition model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yan, Junna & Zhao, Tao & Kang, Jidong, 2016. "Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model," Applied Energy, Elsevier, vol. 171(C), pages 456-467.
    2. Tao Lin & Junna Yan, 2017. "Investigating the sensitivity factors of household indirect CO2 emission from the production side," 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. 88(2), pages 721-740, September.
    3. Zhang, Lixiao & Yang, Min & Zhang, Pengpeng & Hao, Yan & Lu, Zhongming & Shi, Zhimin, 2021. "De-coal process in urban China: What can we learn from Beijing's experience?," Energy, Elsevier, vol. 230(C).
    4. Ling Li & Ling Tang & Junrong Zhang, 2019. "Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO 2 Emission Intensity in China," Energies, MDPI, vol. 12(12), pages 1-23, June.
    5. He, He & Reynolds, Christian John & Li, Linyang & Boland, John, 2019. "Assessing net energy consumption of Australian economy from 2004–05 to 2014–15: Environmentally-extended input-output analysis, structural decomposition analysis, and linkage analysis," Applied Energy, Elsevier, vol. 240(C), pages 766-777.
    6. Zhen, Wei & Zhong, Zhangqi & Wang, Yichen & Miao, Lu & Qin, Quande & Wei, Yi-Ming, 2019. "Evolution of urban household indirect carbon emission responsibility from an inter-sectoral perspective: A case study of Guangdong, China," Energy Economics, Elsevier, vol. 83(C), pages 197-207.
    7. Qiang Wang & Shasha Wang & Rongrong Li, 2019. "Determinants of Decoupling Economic Output from Carbon Emission in the Transport Sector: A Comparison Study of Four Municipalities in China," IJERPH, MDPI, vol. 16(19), pages 1-21, October.
    8. Meng, Bo & Wang, Jianguo & Andrew, Robbie & Xiao, Hao & Xue, Jinjun & Peters, Glen P., 2017. "Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010," Energy Economics, Elsevier, vol. 63(C), pages 161-173.
    9. Hua Liao & Celio Andrade & Julio Lumbreras & Jing Tian, 2018. "CO2 Emissions in Beijing: Sectoral Linkages and Demand Drivers," CEEP-BIT Working Papers 113, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    10. Changjian Wang & Fei Wang, 2015. "Structural Decomposition Analysis of Carbon Emissions and Policy Recommendations for Energy Sustainability in Xinjiang," Sustainability, MDPI, vol. 7(6), pages 1-20, June.
    11. Rocco, Matteo V. & Forcada Ferrer, Rafael J. & Colombo, Emanuela, 2018. "Understanding the energy metabolism of World economies through the joint use of Production- and Consumption-based energy accountings," Applied Energy, Elsevier, vol. 211(C), pages 590-603.
    12. Wang, Enci & Su, Bin & Zhong, Sheng & Guo, Qinxin, 2022. "China's Embodied SO2 Emissions and Aggregate Embodied SO2 Intensities in Interprovincial and International Trade," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    13. Kim, Yong-Gun & Yoo, Jonghyun & Oh, Wankeun, 2015. "Driving forces of rapid CO2 emissions growth: A case of Korea," Energy Policy, Elsevier, vol. 82(C), pages 144-155.
    14. Wang, Qiang & Song, Xiaoxin, 2021. "Why do China and India burn 60% of the world’s coal? A decomposition analysis from a global perspective," Energy, Elsevier, vol. 227(C).
    15. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    16. Wang, Miao & Feng, Chao, 2018. "Investigating the drivers of energy-related CO2 emissions in China’s industrial sector: From regional and provincial perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 136-147.
    17. Roinioti, Argiro & Koroneos, Christopher, 2017. "The decomposition of CO2 emissions from energy use in Greece before and during the economic crisis and their decoupling from economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 448-459.
    18. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    19. Wang, Jing & Rickman, Dan S. & Yu, Yihua, 2022. "Dynamics between global value chain participation, CO2 emissions, and economic growth: Evidence from a panel vector autoregression model," Energy Economics, Elsevier, vol. 109(C).
    20. Li, Tianxiang & Baležentis, Tomas & Makutėnienė, Daiva & Streimikiene, Dalia & Kriščiukaitienė, Irena, 2016. "Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction," Applied Energy, Elsevier, vol. 180(C), pages 682-694.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:307:y:2022:i:c:s0306261921014884. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.