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Energy security and RES penetration in a growing decarbonized economy in the era of the 4th industrial revolution

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  • Bigerna, Simona
  • D’Errico, Maria Chiara
  • Polinori, Paolo

Abstract

The 4th industrial revolution is expected to deeply transform the functioning of the global economy, society, and financial system. It has already triggered several challenges and opportunities for the energy sector. In this context, a secure energy supply is one of the most important factors of international economic activity and technological revolution. This study explores the link between economic growth based on the 4th industrial revolution and energy security. To this end, we use data from the European Union countries for the period 2005–2019. We also use the gross domestic product and energy security indicators as outputs of a ray production function whose inefficiencies can be explained by the share of their fossil and renewable energy. We develop a multiple-output production model using a ray production function with polar coordinates allowing for the estimation of production frontiers and country-specific inefficiency effects. Using the multiple-output production function along with different energy security indicators, we can explore how the energy system endorses economic growth, which is crucial to addressing policy designs from the perspective of the 4th industrial revolution. Forecast analysis confirms that renewable energy sources have positive effects and reduce deviations from the efficient frontier.

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  • Bigerna, Simona & D’Errico, Maria Chiara & Polinori, Paolo, 2021. "Energy security and RES penetration in a growing decarbonized economy in the era of the 4th industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  • Handle: RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162521000809
    DOI: 10.1016/j.techfore.2021.120648
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    as
    1. Kumbhakar, Subal C., 1991. "Estimation of technical inefficiency in panel data models with firm- and time-specific effects," Economics Letters, Elsevier, vol. 36(1), pages 43-48, May.
    2. Hanif Malekpoor & Konstantinos Chalvatzis & Nishikant Mishra & Mukesh Kumar Mehlawat & Dimitrios Zafirakis & Malin Song, 2018. "Integrated grey relational analysis and multi objective grey linear programming for sustainable electricity generation planning," Annals of Operations Research, Springer, vol. 269(1), pages 475-503, October.
    3. Iddrisu, Insah & Bhattacharyya, Subhes C., 2015. "Sustainable Energy Development Index: A multi-dimensional indicator for measuring sustainable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 513-530.
    4. Ranjan, Ashish & Hughes, Larry, 2014. "Energy security and the diversity of energy flows in an energy system," Energy, Elsevier, vol. 73(C), pages 137-144.
    5. Jamasb, Tooraj & Pollitt, Michael, 2008. "Security of supply and regulation of energy networks," Energy Policy, Elsevier, vol. 36(12), pages 4584-4589, December.
    6. Bishop, Justin D.K. & Amaratunga, Gehan A.J. & Rodriguez, Cuauhtemoc, 2008. "Using strong sustainability to optimize electricity generation fuel mixes," Energy Policy, Elsevier, vol. 36(3), pages 971-980, March.
    7. Henningsen, Arne & Bělín, Matěj & Henningsen, Géraldine, 2017. "New insights into the stochastic ray production frontier," Economics Letters, Elsevier, vol. 156(C), pages 18-21.
    8. Peyrache, Antonio & Coelli, Tim, 2009. "Testing procedures for detection of linear dependencies in efficiency models," European Journal of Operational Research, Elsevier, vol. 198(2), pages 647-654, October.
    9. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    10. Jun, Eunju & Kim, Wonjoon & Chang, Soon Heung, 2009. "The analysis of security cost for different energy sources," Applied Energy, Elsevier, vol. 86(10), pages 1894-1901, October.
    11. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2015. "Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 244(2), pages 511-518.
    12. Spanjer, Aldo, 2007. "Russian gas price reform and the EU-Russia gas relationship: Incentives, consequences and European security of supply," Energy Policy, Elsevier, vol. 35(5), pages 2889-2898, May.
    13. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    14. Kruyt, Bert & van Vuuren, D.P. & de Vries, H.J.M. & Groenenberg, H., 2009. "Indicators for energy security," Energy Policy, Elsevier, vol. 37(6), pages 2166-2181, June.
    15. Shahbaz, Muhammad & Nasir, Muhammad Ali & Hille, Erik & Mahalik, Mantu Kumar, 2020. "UK's net-zero carbon emissions target: Investigating the potential role of economic growth, financial development, and R&D expenditures based on historical data (1870–2017)," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    16. Chiu, Yi-Bin, 2017. "Carbon dioxide, income and energy: Evidence from a non-linear model," Energy Economics, Elsevier, vol. 61(C), pages 279-288.
    17. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    18. Chalvatzis, Konstantinos J., 2009. "Electricity generation development of Eastern Europe: A carbon technology management case study for Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1606-1612, August.
    19. Vivoda, Vlado, 2009. "Diversification of oil import sources and energy security: A key strategy or an elusive objective?," Energy Policy, Elsevier, vol. 37(11), pages 4615-4623, November.
    20. Bifulco, Robert & Bretschneider, Stuart, 2001. "Estimating school efficiency: A comparison of methods using simulated data," Economics of Education Review, Elsevier, vol. 20(5), pages 417-429, October.
    21. Nakano, Makiko & Managi, Shunsuke, 2008. "Regulatory reforms and productivity: An empirical analysis of the Japanese electricity industry," Energy Policy, Elsevier, vol. 36(1), pages 201-209, January.
    22. He, Peijun & Ng, Tsan Sheng & Su, Bin, 2017. "Energy-economic recovery resilience with Input-Output linear programming models," Energy Economics, Elsevier, vol. 68(C), pages 177-191.
    23. Alam & Paramati, 2015. "Do oil consumption and economic growth intensify environmental degradation? Evidence from developing economies," Applied Economics, Taylor & Francis Journals, vol. 47(48), pages 5186-5203, October.
    24. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    25. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    26. Hickey, Emily A. & Lon Carlson, J. & Loomis, David, 2010. "Issues in the determination of the optimal portfolio of electricity supply options," Energy Policy, Elsevier, vol. 38(5), pages 2198-2207, May.
    27. Vivoda, Vlado, 2010. "Evaluating energy security in the Asia-Pacific region: A novel methodological approach," Energy Policy, Elsevier, vol. 38(9), pages 5258-5263, September.
    28. Heesup Han & Myong Jae Lee & Wansoo Kim, 2018. "Antecedents of Green Loyalty in the Cruise Industry: Sustainable Development and Environmental Management," Business Strategy and the Environment, Wiley Blackwell, vol. 27(3), pages 323-335, March.
    29. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    30. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    31. Ang, B.W. & Choong, W.L. & Ng, T.S., 2015. "Energy security: Definitions, dimensions and indexes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1077-1093.
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    More about this item

    Keywords

    4th Industrial Revolution; Energy Security; Renewable Energy Sources; Economic Growth; Panel Models;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other

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