The Long-Run Effect of Carbon Emission and Economic Growth in European Countries: A Computational Analysis through Vector Error Correction Model
| Autor: | Sisodia, Gyanendra Singh, Sah, Hemant Kumar, Kratou, Hajer, Mohnot, Rajesh, Ibanez, Alberto, Gupta, Bhumika |
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| Přispěvatelé: | Ajman University, Alliance University, University of Science and Technology of Fujairah, Universidad Ecotec, Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) (LITEM), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Institut Mines-Télécom Business School (IMT-BS), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département Management, Marketing et Stratégie (IMT-BS - MMS), Télécom Ecole de Management (TEM)-Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom Business School (IMT-BS), Institut Mines-Télécom [Paris] (IMT), LITEM-IMO |
| Rok vydání: | 2023 |
| Předmět: |
Energy
GDP and Carbon Release JEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q4 - Energy/Q.Q4.Q43 - Energy and the Macroeconomy General Energy JEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q5 - Environmental Economics/Q.Q5.Q56 - Environment and Development • Environment and Trade • Sustainability • Environmental Accounts and Accounting • Environmental Equity • Population Growth JEL: O - Economic Development Innovation Technological Change and Growth/O.O1 - Economic Development [SHS.GESTION]Humanities and Social Sciences/Business administration Economic Development Renewable Energy JEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity General Economics Econometrics and Finance |
| Zdroj: | International journal of energy economics and policy International journal of energy economics and policy, 2023, 13 (3), pp.271-278. ⟨10.32479/ijeep.13942⟩ |
| ISSN: | 2146-4553 |
| DOI: | 10.32479/ijeep.13942 |
| Popis: | International audience; The paper seeks to examine the association that exists among a number of energy-related variables such as energy use, renewable energy use, carbon pollutants and the economic growth of European Union countries. The examination of variables focus on twenty-one years of data from 2000 to 2020 using a multidimensional data framework. The findings come from empirical analysis carried out using panel VECM model and associated tests such as, panel unit root test, cointegration and the causality one. The different variables indicated above have positive effects on the growth of economies in various EU member states. Results obtained from the use of the heterogeneous causality test indicated that there is an indirect causality between energy use and the rate at which economies develop. Based on the findings obtained from the study, there is a need for EU member states to establish policies that should help to enhance efficiency in energy use to promote economic development. |
| Databáze: | OpenAIRE |
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