Sustainable Economic Development and Greenhouse Gas Emissions: The Dynamic Impact of Renewable Energy Consumption, GDP, and Corruption

By T. Vasylieva, Oleksii Lyulyov, Y. Bilan, Dalia Streimikiene. Energies, 2019

214 citations recorded by the source corpus.

The paper investigates the relationships between economic, social, and environmental dimensions of sustainable development. GDP growth represents the main economic dimension, greenhouse gas (GHG) emissions and renewable energy consumption the environmental dimension, and corruption the social dimension of sustainable development. The investigation of these relationships is based on the concept of the Environmental Kuznets Curve hypothesis about the non-linear relationship between economic growth and environmental pollution. The authors used the panel data of EU countries and Ukraine for 2000–2016 years from the Eurostat database. The obtained results confirmed the Environmental Kuznets curve hypothesis for the EU and Ukraine. All the indicators were statistically significant at 1% and 5% levels. The findings proved that increasing renewable energy (RE) by 1% led to a decline of GHG in the interval (0.166103, 0.220551), and аn increase of the Control of Corruption Index by 1% provoked a decline of GHG by 0.88%. The conducted study enabled the authors to conclude that Ukraine needs to increase the GDP level per capita given the economy diversification and via the introduction of more effective and “clean” production technologies.

Subfields: Economics and Econometrics, Information Systems, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/c097c4e181dcd9fd898dfd146473bbdeb7d24ad6

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In Economics and Econometrics

  1. Oleksii Lyulyov
  2. Tetyana Pimonenko

In Information Systems

  1. Oleksii Lyulyov

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