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Exploring the transformation and upgrading of China’s economy using electricity consumption data: A VAR–VEC based model

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  • Zhang, Chi
  • Zhou, Kaile
  • Yang, Shanlin
  • Shao, Zhen

Abstract

Since the reforming and opening up in 1978, China has experienced a miraculous development. To investigate the transformation and upgrading of China’s economy, this study focuses on the relationship between economic growth and electricity consumption of the secondary and tertiary industry in China. This paper captures the dynamic interdependencies among the related variables using a theoretical framework based on a Vector Autoregressive (VAR)–Vector Error Correction (VEC) model. Using the macroeconomic and electricity consumption data, the results show that, for secondary industry, there is only a unidirectional Granger causality from electricity consumption to Gross Domestic Product (GDP) from 1980 to 2000. However, for the tertiary industry, it only occurs that GDP Granger causes electricity consumption from 2001 to 2014. All these conclusions are verified by the impulse response function and variance decomposition. This study has a great significance to reveal the relationship between industrial electricity consumption and the pattern of economic development. Meanwhile, it further suggests that, since China joined the World Trade Organization (WTO) in 2001, the trend of the economic transformation and upgrading has gradually appeared.

Suggested Citation

  • Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "Exploring the transformation and upgrading of China’s economy using electricity consumption data: A VAR–VEC based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 144-155.
    • Handle: RePEc:eee:phsmap:v:473:y:2017:i:c:p:144-155
    DOI: 10.1016/j.physa.2017.01.004
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    as
    1. repec:cup:cbooks:9781107034662 is not listed on IDEAS
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. repec:dau:papers:123456789/11438 is not listed on IDEAS
    4. Liu, Jin-Hu & Wang, Jun & Shao, Junming & Zhou, Tao, 2016. "Online social activity reflects economic status," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 581-589.
    5. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Vouldis, Angelos T., 2016. "Non performing loans (NPLs) in a crisis economy: Long-run equilibrium analysis with a real time VEC model for Greece (2001–2015)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 149-161.
    6. de Senna, Viviane & Souza, Adriano Mendonça, 2016. "Assessment of the relationship of government spending on social assistance programs with Brazilian macroeconomic variables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 21-30.
    7. Bentes, Sónia R., 2015. "On the integration of financial markets: How strong is the evidence from five international stock markets?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 205-214.
    8. Abosedra, Salah & Dah, Abdallah & Ghosh, Sajal, 2009. "Electricity consumption and economic growth, the case of Lebanon," Applied Energy, Elsevier, vol. 86(4), pages 429-432, April.
    9. Kantar, Ersin & Keskin, Mustafa, 2013. "The relationships between electricity consumption and GDP in Asian countries, using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5678-5684.
    10. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    11. Sun, Mei & Zhang, Pei-Pei & Shan, Tian-Hua & Fang, Cui-Cui & Wang, Xiao-Fang & Tian, Li-Xin, 2012. "Research on the evolution model of an energy supply–demand network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(19), pages 4506-4516.
    12. Huang, Shuo & Fidrmuc, Jan & Fidrmuc, Jarko, 2015. "Whither China? Reform and economic integration among Chinese regions," China Economic Review, Elsevier, vol. 33(C), pages 94-110.
    13. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    14. Brooks,Chris, 2014. "Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9781107661455, December.
    15. Yuan, Jiahai & Zhao, Changhong & Yu, Shunkun & Hu, Zhaoguang, 2007. "Electricity consumption and economic growth in China: Cointegration and co-feature analysis," Energy Economics, Elsevier, vol. 29(6), pages 1179-1191, November.
    16. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    17. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
    18. Lin, Boqiang & Liu, Chang, 2016. "Why is electricity consumption inconsistent with economic growth in China?," Energy Policy, Elsevier, vol. 88(C), pages 310-316.
    19. Yao, Can-Zhong & Lin, Ji-Nan & Liu, Xiao-Feng, 2016. "A study of hierarchical structure on South China industrial electricity-consumption correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 129-145.
    20. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    21. Ouedraogo, Nadia S., 2013. "Energy consumption and economic growth: Evidence from the economic community of West African States (ECOWAS)," Energy Economics, Elsevier, vol. 36(C), pages 637-647.
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