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Electricity Consumption in China: The Effects of Financial Development and Trade Openness

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  • Ruijun Duan

    (School of Economics and Commerce, Henan University of Technology, Zhengzhou 450001, China)

  • Peng Guo

    (School of Economics and Commerce, Henan University of Technology, Zhengzhou 450001, China)

Abstract

As China is facing the double pressure of economic growth as well as energy-saving and reduction of emissions, reducing electricity consumption without affecting economic development is a challenging and critical issue. Based on 31 provincial panel’s data in China from 2004 to 2018, this study empirically analyzes the direction and degree of the impact of financial development and trade openness on electricity consumption using the spatial econometric approach and panel vector autoregression (PVAR) model. The results indicate that China’s electricity consumption presents a significant spatial spill over effect, and the spatial agglomeration of electricity consumption in local regions is mainly HH clusters. A 1% positive change in financial development causes an increase of 0.089% in electricity consumption, but a 1% rise in financial development reduces electricity consumption of neighboring regions by 0.051%. A 1% positive change in trade openness decreases electricity consumption by 0.051%, while the spatial spillover effect of trade openness is not significant. It is also found that financial development has a long-term promoting effect on electricity consumption, while trade openness has a long-term inhibiting effect on electricity consumption.

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  • Ruijun Duan & Peng Guo, 2021. "Electricity Consumption in China: The Effects of Financial Development and Trade Openness," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10206-:d:634268
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    as
    1. Lili Yan & Zhongliang Guan & Xuhui Yang, 2015. "Relationship Between Fixed-Asset Investment and Environmental Quality Based on EKC," Springer Books, in: Runtong Zhang & Zhenji Zhang & Kecheng Liu & Juliang Zhang (ed.), Liss 2013, pages 445-450, Springer.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Hao, Yu & Wang, Ling-Ou & Lee, Chien-Chiang, 2020. "Financial development, energy consumption and China's economic growth: New evidence from provincial panel data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 1132-1151.
    4. Lin, Boqiang & Li, Zheng, 2020. "Is more use of electricity leading to less carbon emission growth? An analysis with a panel threshold model," Energy Policy, Elsevier, vol. 137(C).
    5. Gregori, Tullio & Tiwari, Aviral Kumar, 2020. "Do urbanization, income, and trade affect electricity consumption across Chinese provinces?," Energy Economics, Elsevier, vol. 89(C).
    6. Shiwen Liu & Hongyuan Li, 2020. "Does Financial Development Increase Urban Electricity Consumption? Evidence from Spatial and Heterogeneity Analysis," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    7. Donghai Zhou & Binxia Chen & Jiahui Li & Yuanying Jiang & Xiaohua Ding, 2021. "Chinaʼs Economic Growth, Energy Efficiency, and Industrial Development: Nonlinear Effects on Carbon Dioxide Emissions," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-17, June.
    8. Sadorsky, Perry, 2010. "The impact of financial development on energy consumption in emerging economies," Energy Policy, Elsevier, vol. 38(5), pages 2528-2535, May.
    9. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    10. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    11. Rafindadi, Abdulkadir Abdulrashid & Ozturk, Ilhan, 2016. "Effects of financial development, economic growth and trade on electricity consumption: Evidence from post-Fukushima Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1073-1084.
    12. Muhammad Shahbaz & Mete Feridun, 2012. "Electricity consumption and economic growth empirical evidence from Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(5), pages 1583-1599, August.
    13. Zhang, Jin & Wang, Lanfang & Wang, Susheng, 2012. "Financial development and economic growth: Recent evidence from China," Journal of Comparative Economics, Elsevier, vol. 40(3), pages 393-412.
    14. Lin, Boqiang & Omoju, Oluwasola E. & Okonkwo, Jennifer U., 2016. "Factors influencing renewable electricity consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 687-696.
    15. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    16. Sadorsky, Perry, 2012. "Information communication technology and electricity consumption in emerging economies," Energy Policy, Elsevier, vol. 48(C), pages 130-136.
    17. Charfeddine, Lanouar & Kahia, Montassar, 2019. "Impact of renewable energy consumption and financial development on CO2 emissions and economic growth in the MENA region: A panel vector autoregressive (PVAR) analysis," Renewable Energy, Elsevier, vol. 139(C), pages 198-213.
    18. Sbia, Rashid & Shahbaz, Muhammad & Hamdi, Helmi, 2014. "A contribution of foreign direct investment, clean energy, trade openness, carbon emissions and economic growth to energy demand in UAE," Economic Modelling, Elsevier, vol. 36(C), pages 191-197.
    19. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    20. An, Hui & Xu, Jianjun & Ma, Xuejiao, 2020. "Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 206-220.
    21. Federico Belotti & Gordon Hughes & Andrea Piano Mortari, 2017. "Spatial panel-data models using Stata," Stata Journal, StataCorp LP, vol. 17(1), pages 139-180, March.
    22. Ghazouani, Tarek & Boukhatem, Jamel & Yan Sam, Chung, 2020. "Causal interactions between trade openness, renewable electricity consumption, and economic growth in Asia-Pacific countries: Fresh evidence from a bootstrap ARDL approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    23. Zouaoui, Haykel & Zoghlami, Feten, 2020. "On the income diversification and bank market power nexus in the MENA countries: Evidence from a GMM panel-VAR approach," Research in International Business and Finance, Elsevier, vol. 52(C).
    24. Pan, Xiongfeng & Uddin, Md. Kamal & Han, Cuicui & Pan, Xianyou, 2019. "Dynamics of financial development, trade openness, technological innovation and energy intensity: Evidence from Bangladesh," Energy, Elsevier, vol. 171(C), pages 456-464.
    25. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    26. 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.
    27. Al-Bajjali, Saif Kayed & Shamayleh, Adel Yacoub, 2018. "Estimating the determinants of electricity consumption in Jordan," Energy, Elsevier, vol. 147(C), pages 1311-1320.
    28. Sadorsky, Perry, 2011. "Financial development and energy consumption in Central and Eastern European frontier economies," Energy Policy, Elsevier, vol. 39(2), pages 999-1006, February.
    29. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    30. 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.
    31. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Jiao, Zhiming & Han, Cuicui, 2019. "How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh," Energy Policy, Elsevier, vol. 133(C).
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