Research Article

Renewable Energy Use and Energy Productivity: A Panel Data Analysis

Volume: 1 Number: 1 December 31, 2020
  • Gonca Yılmaz
  • Esat Daşdemir
EN

Renewable Energy Use and Energy Productivity: A Panel Data Analysis

Abstract

This study emphasizes renewable energy source use's effects on productivity, competitiveness, and growth. The hypothesis of the study was tested with panel data analysis on European and Central Asian countries. Panel data analysis covered 15 Eurasian countries with data from 1990-2014. In our hypothesis, renewable energy use increases income by increasing efficiency in production. The model established reveals the difference between various energy types and renewable energy. Analysis outputs support the study hypothesis. According to the results, the increase in the share of renewable energy use in total energy use affects per capita income positively. On the other hand, an increase in the share of fossil fuels decreases per capita income. Our study suggests that countries aiming for better economic growth should increase their use of renewable energy.

Keywords

References

  1. AY, İ. C. (2021). Air Pollution, Health and Economic Growth: A Panel Data Analysis for Countries with the Highest Co2 Emission. Akademik Hassasiyetler, 8(15), 269–288.
  2. BALTAGI, B. H., & WU, P. X. (1999). Unequally Spaced Panel Data Regressions with AR(1) Disturbances. Econometric Theory, 15(6), 814–823.
  3. BROWN, M. B., & FORSYTHE, A. B. (1974). Robust Tests for the Equality of Variances. Journal of the American Statistical Association, 69(346), 364–367.
  4. CETIN, M., & YILMAZ, G. (2017). Organıc agrıculture practıces in Turkey as a value chaın creatıng model of agrıcultural productıon. PressAcademia Procedia, 4(1), 11-19.
  5. CHIEN, T., J.L. HU, Renewable energy and macroeconomic efficiency of OECD and non-OECD economies, Energy Policy, 35 (2007), 3606–3615
  6. DAŞDEMİR, E. N. (2018). Bölüşüm Üzerine: Ülkelerarası Rekabet Gücü İle Yurtiçi Bölüşüm İlişkisi. Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 20(2), 456–469.
  7. DRISCOLL, J. C., & KRAAY, A. C. (1998). Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data. The Review of Economics and Statistics, 80(4), 549–560.
  8. DURBIN, J., & WATSON, G. S. (1971). Testing for Serial Correlation in Least Squares Regression. III. Biometrika, 58(1), 1–19.

Details

Primary Language

English

Subjects

Economics , Operation

Journal Section

Research Article

Authors

Gonca Yılmaz This is me
0000-0002-4763-0742
Türkiye

Esat Daşdemir This is me
0000-0001-8950-2020
Türkiye

Publication Date

December 31, 2020

Submission Date

June 15, 2021

Acceptance Date

July 15, 2021

Published in Issue

Year 2020 Volume: 1 Number: 1

APA
Yılmaz, G., & Daşdemir, E. (2020). Renewable Energy Use and Energy Productivity: A Panel Data Analysis. Journal of Sustainable Economics and Management Studies, 1(1), 73-82. https://izlik.org/JA45DU64CE

Journal of Sustainable Economics and Management Studies (ECOMAN)
2718-1065 (Printed ISSN) & 2791-8084 (Electronic ISSN)
ecoman@gelisim.edu.tr