Renewable Energy, Environment and Economic Growth Nexus: An Empirical Analyses for Selected Countries

Year 2018, , 53 - 64, 15.04.2018

Ali Acaravcı , Sinan Erdoğan

https://doi.org/10.17153/oguiibf.359419

Cited By: 20

Abstract

The aim
of this study is to examine the long run relationships between environmental
pollution, renewable energy production and economic growth in pioneer countries
on renewable energy production for 1992-2013 period by using dynamic panel data
methods. Cross-sectional dependence test results indicate that there is an
evidence of cross-section dependence for all variables and model. The results
can be summarized as follows: i) There exists a cointegration relationship
between nonstationary variables. ii) Renewable energy production has negative
impact on the carbon emission. iii) Real GDP per capita has positive impact on
carbon emission. The increase of renewable energy production is going to
contribute to the solution of economic growth-environment conflict and
reduction of environmental pollution in these countries.

Keywords

Renewable Energy, Carbon Emissions, Energy Economics, Panel Data Analysis

Yenilenebilir Enerji, Çevre ve Ekonomik Büyüme İlişkisi: Seçilmiş Ülkeler için Ampirik Bir Analiz

Abstract

Bu
çalışma, yenilenebilir enerji üretiminde dünya sıralamasında ilk beş içinde yer
alan ülkeler için çevre kirliliği, yenilenebilir enerji üretimi ve gelir
arasındaki uzun dönemli ilişkileri, dinamik panel veri yöntemleri kullanılarak
1992-2013 dönemi için incelemeyi amaçlamaktadır. Yatay kesit bağımlılık testi
sonuçları, tüm değişkenler ve model için yatay kesit bağımlılığın olduğunu
göstermektedir. Analiz sonuçları şu şekilde özetlenebilir: i) Durağan olmayan
değişkenler arasında uzun dönemli bir ilişki mevcuttur. ii) Yenilenebilir
enerji üretimi, çevre kirliliği üzerinde negatif bir etkiye sahiptir. iii) Kişi
başı gelir, çevre kirliliği üzerinde pozitif etkiye sahiptir. İncelenen
ülkelerde, yenilenebilir enerji üretiminin artışı, çevre kirliliğinin azaltılmasına
ve iktisadi büyüme-çevre çatışmasının çözümüne katkıda bulunacaktır.

Keywords

Yenilenebilir Enerji, Karbon Emisyonu, Enerji Ekonomisi, Panel Veri Analizi

References

• Apergis, N., Payne, E. J., Menyah, K., Wolde-Rufael, Y. (2010). On the Casual Dynamics Between Emissions, Nuclear Energy, Renewable Energy and Economic Growth. Ecological Economics, 69: 2255-2260.
• Bento, J. P. C., Moutinho, V. (2016). Co2 Emissions, Non-Renewable and Renewable Electricity Production, Economic Growth, and International Trade in Italy. Renewable and Sustainable Energy Reviews, 55: 142-155.
• Bilgili, F., Koçak, E., Bulut, Ü. (2016). The Dynamic Impact of Renewable Energy Consumption on Co2 Emissions: A Revisited Environmental Kuznets Curve Approach. Renewable and Sustainable Energy Reviews, 54: 838-845.
• Bölük, G., Mert, M. (2014). Fossil & Renewable Energy Consumption, GHG’s (Greenhouse Gasses and Economic Growth: Evidence from a Panel of EU (European Union) Countries. Energy, 74: 439-446.
• Bölük, G., Mert, M. (2015). The Renewable Energy, Growth and Environmental Kuznets Curve in Turkey: An ARDL Approach. Renewable and Sustainable Energy Reviews, 52: 587-595.
• Breusch, P. S.; Pagan, A. R. (1980). The Lagrange Multiplier Test and It’s Applications to Model Specification in Econometrics. Review of Economic Studies, 11(7); 239-253.
• Brutland G. H. (1987). Our Common Future. Report of the World Comission on Environment and Development: 41.
• Eberhardt, M., Bond, S. (2009) “Cross-Section Dependence in Nonstationary Panel Models: A Novel Estimator. MPRA Paper 17692, University Library of Munich. http://mpra.ub.unimuenchen. de/17692.pdf. (Erişim Tarihi: 11.12.2015).
• Eberhardt, M., Teal F. (2010). Productivity Analysis in Global Manufacturing Production. Discussion Paper 515, Department of Economics, University of Oxford. http://www.economics.ox.ac.uk/research/WP/pdf/paper515.pdf. (Erişim Tarihi: 11.12.2015).
• Eberhardt, M., Teal F. (2011). Econometrics for Grumblers: A New Look at the Literature on Crosscountry Growth Empirics. Journal of Economic Surveys, 25; 109-155.
• Eurostat (2015). Renewable Energy Statistics. http://ec.europa.eu/eurostat/statistics-explained/index.php/Renewable_energy_statistics (Erişim Tarihi: 29.03.2016).
• Farhani, S., Shahbaz, M. (2014). What Role of Renewable and Non-Renewable Electricity Consumption and Output is Needed to Initially Mitigate Co2 Emissions in MENA Region. Renewable and Sustainable Energy Reviews, 40: 80-90.
• Global Energy Statistical Yearbook (2015). Electricity Domestic Consumption. https://yearbook.enerdata.net/electricity-domestic-consumption-data-by-region.html (Erişim Tarihi: 29.03.2016).
• Im, Kyung So,; Pesaran, M. Hasheem,; Shin, Yongcheol (2003). Testing for Unit Roots in Heterogenius Panels. Journal of Econometrics, 115; 53-74.
• Jacobsson, S., Bergek, A., Finon D., Lauber V., Mitchell, C., Toke D., Verbruggen, A. (2009). EU Renewable Energy Support Policy: Faith or Facts? http://www.diva-portal.org/smash/get/diva2:222137/FULLTEXT01.pdf (Erişim Tarihi: 29.03.2016).
• Jaforullah, M., King, A. (2015). Does Use of Renewable Energy Sources Mitigate Co2 Emissions? A Reassessment of the US Evidence. Energy Economics, 49: 711-717.
• La Vina,Antonio G. M., Hoff,Gretchen and DeRose, Anne Marie (2002). The Successes and Failures of Johannesburg: A Story of Many Summits. World Resources Institute 1-24. http://pdf.wri.org/wssd_joburg_english.pdf (Erişim Tarihi: 02.06.2014).
• Menyah, K., Rufael-Wolde, Y. (2010). Co2 Emissions, Nuclear Energy, Renewable Energy and Economic Growth in the US. Energy Policy, 38: 2911-2915.
• Özerkmen, N. (2002). İnsan Merkezli Çevre Anlayışından Doğa Merkezli Çevre Anlayışına. Ankara Üniversitesi Dil ve Tarih-Coğrafya Fakültesi Dergisi, 42(1-2): 167-185.
• Pesaran, M. Hashem (2004). General Diagnostic Tests for Cross-Section Dependence in Panels. Journal of Applied Econometrics, 20, 264-309.
• Pesaran, M. Hasheem; Ullah, Aman; Yamagata, Takashi (2008). A Bias-Adjusted LM Test for Error Cross-Section Independence. Econometrics Journal, 11; 105-127.
• Rogner, H. H. (2000). Enegy Resources. Energy and Chanllenge of Sustainability,; 166.
• Shafiei, S., Salim, R. A. (2014). Non-Renewable and Renewable Energy Consumption and Co2 Emissions in OECD Countries: A Comparative Analysis. Energy Policy, 66: 547-556.
• Smith, L. Vanessa; Leybourne, Stephen; Kim, Tae-Hwan; Newbold, Paul (2004). More Powerful Panel Data Unit Root Tests with an Application to Mean Reversion in Real Exchange Rates. Journal of Applied Econometrics, 19; 147-170.
• United Nations (1996). Human Development Report http://hdr.undp.org/sites/default/files/reports/257/hdr_1996_en_complete_nostats.pdf (Erişim Tarihi: 10.04.2016).
• United Nations Framework Convention on Climate Changes, (2012). Kyoto Protocol. http://unfccc.int/kyoto_protocol/items/2830.php (Erişim Tarihi: 05.06.2014).
• United States Energy Information Administration (2015). http://www.eia.gov/cfapps/ipdbproject/IEDIndex3.cfm (Erişim Tarihi: 15.12.2015)
• U.S. Energy Information Administration (2015). Electricity. https://www.eia.gov/electricity/data.cfm (Erişim Tarihi: 10.12.2015).
• Westerlund, Joakim (2008). Panel Cointegration Tests of the Fisher Effects. Journal of Applied Econometrics, 23; 193-233.