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Makroekonomiczne, sektorowe i fiskalne konsekwencje spadku energochłonności polskiej gospodarki

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  • Antoszewski, Michał

Abstract

The aim of this paper is to assess the implications of an ongoing improvement in the energy efficiency of the Polish economy. Poland is among countries that have been leading the way in reducing energy intensity in recent decades. A counterfactual analysis conducted in this study is based on a computable general equilibrium (CGE) model called GEMPOL and captures six dimensions: the overall economic activity level; the industry pattern of output; the product pattern of foreign trade; energy-related expenditures; the quantity of energy used; and the revenue and expenditure of the public finance sector. An accompanying sensitivity analysis underlines the positive relationship between the expected economic effects of improved energy efficiency and the assumed scale of such technological progress, as well as the positive relationship between the magnitude of those consequences and the assumed substitution elasticity values. The obtained results can constitute an important contribution to a scholarly debate on the long-term impacts of decreasing per-unit energy use on the characteristics of Poland’s economy and resulting policy challenges.

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  • Antoszewski, Michał, 2020. "Makroekonomiczne, sektorowe i fiskalne konsekwencje spadku energochłonności polskiej gospodarki," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2020(3), September.
    • Handle: RePEc:ags:polgne:359214
    DOI: 10.22004/ag.econ.359214
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    1. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    2. Alexeeva-Talebi, Victoria & Böhringer, Christoph & Löschel, Andreas & Voigt, Sebastian, 2012. "The value-added of sectoral disaggregation: Implications on competitive consequences of climate change policies," Energy Economics, Elsevier, vol. 34(S2), pages 127-142.
    3. Kenneth Gillingham & David Rapson & Gernot Wagner, 2016. "The Rebound Effect and Energy Efficiency Policy," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(1), pages 68-88.
    4. Henryk Gurgul & Łukasz Lach, 2016. "Simulating evolution of interindustry linkages in endogenous dynamic IO model with layers of techniques," Metroeconomica, Wiley Blackwell, vol. 67(4), pages 632-666, November.
    5. Caron, Justin, 2012. "Estimating carbon leakage and the efficiency of border adjustments in general equilibrium — Does sectoral aggregation matter?," Energy Economics, Elsevier, vol. 34(S2), pages 111-126.
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