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The impact of renewable energy on economic growth and sustainable development

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Since 1997, when the Kyoto Protocol was signed, the era of renewable energy has begun. Due to the growth of its share in the total energy production and consumption, the world community is making efforts towards the transition to sustainable development. Developed and developing countries have significantly increased production and consumption of renewable energy in absolute terms trying to join this initiative. The purpose of this work is to study the impact of changes in the share of total production and consumption of renewable energy on the economic growth and CO2 emissions. Secondary data of the World Bank, the countries that invest the most in renewable energy (the USA, China, the European Union) is used and a comparison with Ukraine, Russian Federation and general global indicators covering the period 1990-2015 is made. Modeling of the influence of the share of production and consumption of renewable energy sources in the total volume in the studied countries on the level of economic growth and CO2 emissions using economic and mathematical modeling is carried out. Linear regression models of the studied countries and the world are estimated. The hypothesis on a link between economic growth and development of renewable energy has been confirmed. The results reveal that depending on the country under the research the level and nature of the impact of increasing the share of production and consumption of renewable energy on economic growth differs significantly and depends on a number of political and economic factors.
Wydawca
Rocznik
Strony
28--40
Opis fizyczny
Bibliogr. 19 poz., rys.
Twórcy
  • Vinnitsa National Agrarian University – Ukraine
Bibliografia
  • 1.Akadiri S.S., Alola A.A., Akadiri A.C., Alola U.V., 2019, Renewable energy consumption in EU-28 countries: policy toward pollution mitigation and economic sustainability, Energy Policy.1 32, 803-810. doi:10.1016/j.enpol.2019.06.040.
  • 2.Apergis N., Danuletiu D.C., 2014, Renewable energy and economic growth: evidence from the sign of panel long-run causality, Int J Energy Econ Policy, 4(4), 578-587.
  • 3.Arminen H., Menegaki A.N., 2019, Corruption, climate and the energy-environmentgrowth nexus, Energy Economics. 80 ,621-634. doi:10.1016/j.eneco.2019.02.009.
  • 4.Chen Y., Wang Z., Zhong Z., 2019, CO2 emissions, economic growth, renewable and non-renewable energy production and foreign trade in China, Renewable Energy. 131, 208-216. doi:10.1016/j.renene.2018.07.047
  • 5.Dietzenbacher E., Kulionis V., Capurro F., 2020, Measuring the effects of energy transition: A structural decomposition analysis of the change in renewable energy use between 2000 and 2014, Appl Energy. 258, 114040. doi:10.1016/j.apenergy.2019.114040
  • 6.Frankfurt School-UNEP Centre/BNEF, 2020, Global Trends in Renewable Energy Investment 2020. Retrieved from: http://www.fs-unep-centre.org (Frankfurt am Main)
  • 7.Gautam P., Kumar S., Lokhandwala S., 2019, Energy-aware intelligence in megacities. In: Kumar S., Kumar R., and Pandey A., editor. Current developments in biotechnology and bioengineering. Amsterdam: Elsevier; p. 211-238.
  • 8.Gundebommu L., Hunko I., Rubanenko O., and Kuchanskyy V., 2020, Assessment of the Power Quality in Electric Networks with Wind Power Plants, in 2020 IEEE 7th International Conference on Energy Smart Systems (ESS), p. 190-194.
  • 9.Güney T., Kantar K., 2020, Biomass energy consumption and sustainable development, J Int Trade Econ Dev. doi:10.1080/13504509.2020.1753124.
  • 10.Güney T., 2019, Renewable Energy, non-renewable energy and sustainable development, Int J Sust Dev World. 26 (5), 389–397. doi:10.1080/13504509.2019.1595214.
  • 11.IRENA, 2017, Cost-competitive renewable power generation: potential across SEE. Retrieved from: https://www.irena.org/publications/2017/Jan/Cost-competitiverenewable-power-generation-Potential-across-South-East-Europe.
  • 12.IRENA, 2020, Renewable Capacity Statistics. Retrieved from: https://www.irena.org/publications/2021/March/Renewable-Capacity-Statistics2021.
  • 13.KPMG, 2019, Renewables in Ukraine. Retrieved from: http://kpmg.ua
  • 14.Lezhniuk P., Komar V., Rubanenko O. and Ostra N., 2020, The sensitivity of the process of optimal decisions making in electrical networks with renewable energy sources, Przeglad Elektrotechniczny, 98(10), 32-38.
  • 15.Sikder A., Inekwe J., Bhattacharya M., 2019, Economic output in the era of changing energy-mix for G20 countries: new evidence with trade openness and research and development investment, Appl Energy. 235, 930-938. doi:10.1016/j.apenergy.2018.10.092
  • 16.Sirag A., Matemilola B.T., Law S.H., Bany-Ariffin A.N., 2018, Does environmental Kuznets curve hypothesis exist? Evidence from dynamic panel threshold, J of Env Econ and Policy. 7 (2), 145-165. doi:10.1080/21606544.2017.1382395.
  • 17.Topcu E., Altinoz B.., Aslan A., 2020, Global evidence from the link between economic growth, natural resources, energy consumption, and gross capital formation, Res Policy. 66, 101622. doi:10.1016/j.resourpol.2020.101622.
  • 18.World Development Indicators of World Bank. Retrieved from: http://data.worldbank.org/data-catalog/world-devel opment-indicators
  • 19.Zeppini P., Van Den Bergh J.C., 2020, Global competition dynamics of fossil fuels and renewable energy under climate policies and peak oil: A behavioural model, Energy Policy. 136, 110907. doi:10.1016/j.enpol.2019.110907.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-094cacbe-b7cc-4bd5-8eb6-70954473c423
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