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How Do the Industrial Structure Optimization and Urbanization Development Affect Energy Consumption in Zhejiang Province of China?

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  • Huiqin Jiang

    (College of Politics and Public Administration, Zhejiang University of Technology, Hangzhou 310023, China
    Center for Green Low-Carbon Development Research, Zhejiang University of Technology, Hangzhou 310023, China
    College of Economics and Management, Zhejiang University of Technology, Hangzhou 310023, China)

  • Xiao Zhang

    (College of Politics and Public Administration, Zhejiang University of Technology, Hangzhou 310023, China)

  • Xinxiao Shao

    (College of Politics and Public Administration, Zhejiang University of Technology, Hangzhou 310023, China)

  • Jianqiang Bao

    (College of Politics and Public Administration, Zhejiang University of Technology, Hangzhou 310023, China
    Center for Green Low-Carbon Development Research, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

In response to global climate change, China has voluntarily assumed responsibility and has pledged to reach its peak in carbon emissions by 2030. Industrial structure and urbanization have important impacts on energy consumption. This paper empirically analyzes the dynamic influence of industrial structure and urbanization on energy consumption in the Zhejiang Province of China by constructing a structural vector auto regressive model using impulse response function and variance decomposition. The results show a positive impact of urbanization on energy consumption, which increases and then gradually decreases, and an impact of industrial structure on energy consumption. The results also indicate that it will take a certain period of time for an increase in the proportion of tertiary industry to curb the growth of energy consumption. Urbanization has a greater impact on energy consumption than does industrial structure.

Suggested Citation

  • Huiqin Jiang & Xiao Zhang & Xinxiao Shao & Jianqiang Bao, 2018. "How Do the Industrial Structure Optimization and Urbanization Development Affect Energy Consumption in Zhejiang Province of China?," Sustainability, MDPI, vol. 10(6), pages 1-12, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1889-:d:150811
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    as
    1. Martínez-Zarzoso, Inmaculada & Maruotti, Antonello, 2011. "The impact of urbanization on CO2 emissions: Evidence from developing countries," Ecological Economics, Elsevier, vol. 70(7), pages 1344-1353, May.
    2. Akihiro Otsuka, 2018. "Population Agglomeration and Residential Energy Consumption: Evidence from Japan," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    3. Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
    4. Duro, Juan Antonio & Alcántara, Vicent & Padilla, Emilio, 2010. "International inequality in energy intensity levels and the role of production composition and energy efficiency: An analysis of OECD countries," Ecological Economics, Elsevier, vol. 69(12), pages 2468-2474, October.
    5. Tapio, Petri, 2005. "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, Elsevier, vol. 12(2), pages 137-151, March.
    6. Wang, Jianjun & Li, Li, 2016. "Sustainable energy development scenario forecasting and energy saving policy analysis of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 718-724.
    7. Zellner, Arnold & Palm, Franz, 1974. "Time series analysis and simultaneous equation econometric models," Journal of Econometrics, Elsevier, vol. 2(1), pages 17-54, May.
    8. Soccorsi, Stefano, 2016. "Measuring nonfundamentalness for structural VARs," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 86-101.
    9. Katherine S. Fu & Melissa R. Allen & Richard K. Archibald, 2015. "Evaluating the Relationship between the Population Trends, Prices, Heat Waves, and the Demands of Energy Consumption in Cities," Sustainability, MDPI, vol. 7(11), pages 1-18, November.
    10. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    11. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    12. Lütkepohl, Helmut & Milunovich, George, 2016. "Testing for identification in SVAR-GARCH models," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 241-258.
    13. Dale W. Jorgenson & Marcel P. Timmer, 2011. "Structural Change in Advanced Nations: A New Set of Stylised Facts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 113(1), pages 1-29, March.
    14. Al-mulali, Usama & Binti Che Sab, Che Normee & Fereidouni, Hassan Gholipour, 2012. "Exploring the bi-directional long run relationship between urbanization, energy consumption, and carbon dioxide emission," Energy, Elsevier, vol. 46(1), pages 156-167.
    15. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    16. Liddle, Brantley, 2014. "Impact of population, age structure, and urbanization on carbon emissions/energy consumption: Evidence from macro-level, cross-country analyses," MPRA Paper 61306, University Library of Munich, Germany.
    17. Wang, Hailin & Ou, Xunmin & Zhang, Xiliang, 2017. "Mode, technology, energy consumption, and resulting CO2 emissions in China's transport sector up to 2050," Energy Policy, Elsevier, vol. 109(C), pages 719-733.
    18. Dale W. Jorgenson & Marcel P. Timmer, "undated". "Structural Change in Advanced Nations," Working Paper 13525, Harvard University OpenScholar.
    19. Kahrl, Fredrich & Roland-Holst, David, 2009. "Growth and structural change in China's energy economy," Energy, Elsevier, vol. 34(7), pages 894-903.
    Full references (including those not matched with items on IDEAS)

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    2. Zeeshan Khan & Muhsin Ali & Dervis Kirikkaleli & Salman Wahab & Zhilun Jiao, 2020. "The impact of technological innovation and public‐private partnership investment on sustainable environment in China: Consumption‐based carbon emissions analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1317-1330, September.
    3. Ying Jiang & Chong Li & Jizhou Zhang & Xiaoyi Zhou, 2019. "Financial Stability and Sustainability under the Coordination of Monetary Policy and Macroprudential Policy: New Evidence from China," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    4. Shengli Dai & Yingying Wang & Weimin Zhang, 2022. "The Impact Relationships between Scientific and Technological Innovation, Industrial Structure Advancement and Carbon Footprints in China Based on the PVAR Model," IJERPH, MDPI, vol. 19(15), pages 1-21, August.

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