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Complexity economic indexes for the energy market: Evidence during extreme global changes

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  • Song, Pengcheng
  • Wang, Pang Paul
  • Zhang, Baozhen
  • Zhang, Xuan
  • Zong, Xiangyu

Abstract

This paper extends the complex economic index to measure the energy dependence of each country’s industrial structure, subject to the global trade framework. The Energy Dependence Competitiveness (EDC) Index and Energy Layout Complexity (ELC) Index are proposed, based on the Competitiveness and Economic Fitness (EF) algorithm. EDC reveals the industrial competitiveness of each country that relies on high energy-dependent industries. ELC reflects the fraction of energy-dependent industries involved in competitive industries. The empirical results show that EDC and ELC indices provide good explanations of economic performance, endowments and energy industries’ structure before, during and after the extreme change in the Energy Market in 2008.

Suggested Citation

  • Song, Pengcheng & Wang, Pang Paul & Zhang, Baozhen & Zhang, Xuan & Zong, Xiangyu, 2021. "Complexity economic indexes for the energy market: Evidence during extreme global changes," Energy Economics, Elsevier, vol. 96(C).
  • Handle: RePEc:eee:eneeco:v:96:y:2021:i:c:s0140988321000530
    DOI: 10.1016/j.eneco.2021.105148
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    1. Grossman, Gene M & Helpman, Elhanan, 1989. "Product Development and International Trade," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1261-1283, December.
    2. Jean Imbs & Romain Wacziarg, 2003. "Stages of Diversification," American Economic Review, American Economic Association, vol. 93(1), pages 63-86, March.
    3. Gene M. Grossman & Elhanan Helpman, 1991. "Quality Ladders in the Theory of Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(1), pages 43-61.
    4. Pengcheng Song & Xuan Zhang & Yu Zhao & Liao Xu, 2020. "Exogenous Shocks on the Dual-country Industrial Network: A Simulation Based on the Policies during the COVID-19 Pandemic," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(15), pages 3554-3561, December.
    5. Ricardo Hausmann & César Hidalgo, 2011. "The network structure of economic output," Journal of Economic Growth, Springer, vol. 16(4), pages 309-342, December.
    6. Lorenzo Caliendo & Fernando Parro, 2015. "Estimates of the Trade and Welfare Effects of NAFTA," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(1), pages 1-44.
    7. Jonathan Eaton & Samuel Kortum, 2002. "Technology, Geography, and Trade," Econometrica, Econometric Society, vol. 70(5), pages 1741-1779, September.
    8. Tisdell, Clement A., 2020. "Economic, social and political issues raised by the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 17-28.
    9. Ding Liu & Weihong Sun & Xuan Zhang, 2020. "Is the Chinese Economy Well Positioned to Fight the COVID-19 Pandemic? the Financial Cycle Perspective," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2259-2276, August.
    10. Emanuele Pugliese & Guido L Chiarotti & Andrea Zaccaria & Luciano Pietronero, 2017. "Complex Economies Have a Lateral Escape from the Poverty Trap," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-18, January.
    11. Matthieu Cristelli & Andrea Gabrielli & Andrea Tacchella & Guido Caldarelli & Luciano Pietronero, 2013. "Measuring the Intangibles: A Metrics for the Economic Complexity of Countries and Products," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-20, August.
    12. Cristelli,Matthieu Claudio Ascagne & Tacchella,Andrea & Cader,Masud Z. & Roster,Kirstin Ingrid & Pietronero,Luciano, 2017. "On the predictability of growth," Policy Research Working Paper Series 8117, The World Bank.
    13. Vito D. P. Servedio & Paolo Butt`a & Dario Mazzilli & Andrea Tacchella & Luciano Pietronero, 2018. "A new and stable estimation method of country economic fitness and product complexity," Papers 1807.10276, arXiv.org, revised Oct 2018.
    14. Dinh Hoang Bach Phan & Paresh Kumar Narayan, 2020. "Country Responses and the Reaction of the Stock Market to COVID-19—a Preliminary Exposition," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2138-2150, August.
    15. Felipe G Operti & Emanuele Pugliese & José S Andrade Jr. & Luciano Pietronero & Andrea Gabrielli, 2018. "Dynamics in the Fitness-Income plane: Brazilian states vs World countries," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-20, June.
    16. Angelica Sbardella & Emanuele Pugliese & Luciano Pietronero, 2017. "Economic development and wage inequality: A complex system analysis," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-26, September.
    17. Pinglin He & Hanlu Niu & Zhe Sun & Tao Li, 2020. "Accounting Index of COVID-19 Impact on Chinese Industries: A Case Study Using Big Data Portrait Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2332-2349, August.
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