Yükselen Ekonomilerde Enerji Etkinliğini Talep Yanlı Etkileyen Faktörler

Year 2021, , 455 - 481, 30.07.2021

Mustafa Naımoglu , Mustafa Akal

https://doi.org/10.17233/sosyoekonomi.2021.03.23

Cited By: 8

Abstract

Yükselen Ekonomiler için en önemli enerji kaynağı ya yenilenebilir enerji ya da enerjinin tasarruflu, verimli ve etkin kullanılmasıdır. Bu çalışma da 23 Yükselen Ekonomi için 1990-2018 döneminde enerji etkinliğini açıklayıcı talep yanlı faktörler araştırılmıştır. Model tahmini için Ortak İlişkili Etkiler Ortalama Grup (CCEMG) ile Genişletilmiş Ortalama Grup (AMG) panel tahmincileri kullanılmıştır. Bulgular genel olarak endüstriyel ve hizmetler üretimi, ithalat, doğrudan yabancı sermaye yatırımı, sabit sermaye yatırımı, dış açıklık oranı, ihracat ve ithalat artışları enerji etkinliğini olumlu etkilerken nüfus, karbondioksit emisyonu, petrol ve kömür fiyat artışları ise olumsuz etkilemektedir. Yükselen Ekonomiler ‘de rekabetçi üretim ve dış ticaret artışlarının enerji etkinliğini artırdığı bulunmuştur.

Keywords

Yükselen Ekonomiler, Enerji Etkinliği, Talep Yanlı Modeller

Demand Sided Factors Influencing Energy Efficiency in Emerging Economies

Abstract

Emerging Economies’ most important energy source is either renewable energy or efficient and effective energy use. In this study, demand-side factors that explain energy efficiency in 23 Emerging Economies were investigated between 1990 and 2018. Common Correlated Effects Mean Group (CCEMG) and Extended Mean Group (AMG) panel estimators were used for model estimation. Findings indicate that industrial production, services, foreign direct investment, fixed capital investment, foreign openness ratio, increases in exports and imports have a positive effect on energy efficiency. In contrast, population, carbon dioxide emission, and increases in oil and coal prices negatively affect energy efficiency. It has been found that competitive production and a rise in foreign trade increases energy efficiency in Emerging Economies.

Keywords

Emerging Economies, Energy Efficiency, Demand-side Models

References

• Abbas, S.K. & H. Lan (2020), “Commodity Price Pass-Through and Inflation Regimes”, Energy Economics, 92(2020),1-11.
• Adom, P.K. (2015), “Determinants of Energy Intensity in South Africa: Testing for Structural Effects in Parameters”, Energy, 89(2015), 334-346.
• Ağır, H. & S. Özbek & S. Türkmen (2020), “Türkiye’de Cari İşlemler Dengesinin Dinamikleri: VAR Analizi”, Maliye Araştırmaları Dergisi, 6(2), 57-66.
• Akal, M. (2015), “A VARX Modelling of Energy Intensity Interactions Between China, the United States, Japan and EU”, Opec Energy Review, 39(1), 103-124.
• Akal, M. (2016), “Modeling World Energy Use Efficiency, Price, and GDP”, Energy Sources, Part B: Economics, Planning and Policy, 11(10), 911-919.
• Altıntaş, H. & M. Mercan (2015), “Ar-Ge Harcamaları ve Ekonomik Büyüme İlişkisi: OECD Ülkeleri Üzerine Yatay Kesit Bağımlılığı Altında Panel Eşbütünleşme Analizi”, Ankara Üniversitesi SBF Dergisi, 70(2), 345-376.
• Antonietti, R. & F. Fontini (2019), “Does Energy Price Affect Energy Efficiency? Cross-Country Panel Evidence”, Energy Policy, 129(2019), 896-906.
• Aslan, A. (2009), “Convergence Analysis of Per Capita Carbon Dioxide Emissions: 1950-2004”, Ege Akademik Bakış Dergisi, 9(4), 1427-1439.
• Aydın, Y. (2019), “GAP Bölgesi Yarı Kurak İklim Koşullarında Class a Pan’dan Oluşan Günlük Buharlaşmanın Penman ve Priestley-Taylor (Pt) Modelleri ile Tahmini”, içinde: B. Kunter & N. Keskin, Current Research and Assesments for Agricultural Science, 207-220.
• Beaumont, R. (2012), An Introduction to Statistics Correlation, <http://www.floppybunny.org/ Robin/Web/Virtualncrassroom/Stats/Basics/Part9.Pdf>, 06.02.2020.
• Bird, L. & M. Bolinger & T. Gagliano & R. Wiser & M. Brown & B. Parsons (2005), “Policies and Market Factors Driving Wind Power Development in the United States”, Energy Policy, 33(11), 1397-1407.
• Boqiang, L. & L. Hongxun (2015), “Do Energy and Environment Efficiency Benefit from Foreign Trade? The Case of China’s Industrial Sectors”, Economic Research Journal, 9(11), 127-141.
• Bozkurt, E. & A. Altıner (2018), “Finansal Erişimin Belirleyicileri”, Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 8(16), 295-308.
• Breusch, T.S. & A.R. Pagan (1980), “The Lagrange Multiplier Test and its Applications to Model-Specification in Econometrics”, Review of Economic Studies, 47(1), 239-253.
• Chang, C.P. & C.C. Lee & A.N. Berdiev (2015), “The Impact of Government Ideology on Energy Efficiency: Evidence from Panel Data”, Energy Efficiency, 8(6), 1181-1199.
• Chang, C.P. & J. Wen & M. Zheng & M. Dong & Y. Hao (2018), “Is Higher Government Efficiency Conducive to Improving Energy Use Efficiency? Evidence from OECD Countries”, Economic Modelling, 72(2018), 65-77.
• Chang, T.H. & C.M. Huang & M.C. Lee (2009), “Threshold Effect of the Economic Growth Rate on the Renewable Energy Development from a Change in Energy Price: Evidence From OECD Countries”, Energy Policy, 37(12), 5796-5802.
• Chen, Y.E. & Q. Fu & X. Zhao & X. Yuan & C.P. Chang (2019), “International Sanctions’ Impact on Energy Efficiency in Target States”, Economic Modelling, 82(2019), 21-34.
• Choi, I. (1994), “Durbin-Hausman Tests for Cointegration”, Journal of Economic Dynamics and.Control, 18(2), 467-480.
• Chong, C.H. & W.X. Tan & Z.J. Ting & P. Liu & L. Ma & Z. Li & W. Ni (2019), “The Driving Factors of Energy-Related CO2 Emission Growth in Malaysia: The LMDI Decomposition Method Based on Energy Allocation Analysis”, Renewable And Sustainable Energy Reviews, 115(2019), 2-19.
• Da Silva, P.P. & P.A. Cerqueira & W. Ogbe (2018), “Determinants of Renewable Energy Growth in Sub-Saharan Africa: Evidence From Panel ARDL”, Energy, 156(2018), 45-54.
• Dawei, G. & Z. Dequn & W. Qunwei (2010), “International Trade, RANDD Technology Spillovers and Its Effect on Total-Factor Energy Efficiency in China”, Management Review, <http://en.cnki.com.cn/Article_en/CJFDTotal-ZWGD201008018.htm>, 06.02.2020.
• Eberhardt, M. & F. Teal (2010), “Productivity Analysis in Global Manufacturing Production”, University of Economics Department of Economics Discussion, <https://ora.ox.ac.uk/objects/uuid:ea831625-9014-40ec-abc5-516ecfbd2118>, 06.02.2020.
• Eberhardt, M. & S. Bond (2009), “Cross-Section Dependence in Nonstationary Panel Models: A Novel Estimator”, Munich Personal Repec Archive, < https://mpra.ub.uni-muenchen.de/17692>, 06.02.2020.
• Fan, E.X. (2002), Technological Spillovers from Foreign Direct Investment-A Survey, Asian Development Bank, <http://hdl.handle.net/11540/2070>, 06.02.2020.
• Gamtessa, S. & A.B. Olani (2018), “Energy Price, Energy Efficiency, and Capital Productivity: Empirical Investigations and Policy Implications”, Energy Economics, 72(2018), 650-666.
• Göçer, İ. & M. Mercan & H. Hotunluoğlu (2012), “Seçilmiş OECD Ülkelerinde Cari İşlemler Açığının Sürdürülebilirliği: Yatay Kesit Bağımlılığı Altında Çoklu Yapısal Kırılmalı Panel Veri Analizi”, Maliye Dergisi, (163), 449-467.
• Grossman, G.M. & A.B. Krueger (1991), “Environmental Impacts of A North American Free Trade Agreement, National Bureau of Economic Research”, Cambridge, Working Paper, National Bureau of Economic Research.
• Gu, W. & X. Zhao & X. Yan & C. Wang & Q. Li, (2019), “Energy Technological Progress, Energy Consumption, and CO2 Emissions: Empirical Evidence from China”, Journal of Cleaner Production, 236(2019), 2-15.
• Güney, T. (2017), “Population Growth and Sustaınable Development in Developed-Developing Countries: An IV (2SLS) Approach”, Population, 22(4), 1255-1277.
• Hang, L. & M. Tu (2007), “The Impacts of Energy Prices on Energy Intensity: Evidence from China”, Energy Policy, 35(5), 2978-2988.
• Hatzigeorgiou, E. & H. Polatidis & D. Haralambopoulos (2011), “CO2 Emissions, GDP and Energy Intensity: A Multivariate Cointegration and Causality Analysis for Greece 1977-2007”, Applied Energy, 88(4), 1377-1385.
• Hepaktan, C.E. & S. Çınar (2011), “OECD Ülkeleri Vergi Sistemi Esnekliğinin Panel Eşbütünleşme Testleri ile Analizi”, Sosyal Bilimler Dergisi, 4(2), 133-153.
• Hossain, M.S. (2011), “Panel Estimation for CO2 Emissions, Energy Consumption, Economic Growth, Trade Openness and Urbanization of Newly Industrialized Countries”, Energy Policy, 39(11), 6991-6999.
• Hull, D. & B.P.Ó. Gallachóir & N. Walker (2009), “Development of A Modelling Framework in Response to New European Energy-Efficiency Regulatory Obligations: The Irish Experience”, Energy Policy, 37(12), 5363-5375.
• Iddrisu, A.A. & I.P. Alagidede (2020), “Revisiting Interest Rate and Lending Channels of Monetary Policy Transmission in the Light of Theoretical Prescriptions”, Central Bank Review, 2-10.
• Im, K.S. & M.H. Pesaran & Y. Shin (2003), “Testing for Unit Roots in Heterogeneous Panels”, Journal of Econometrics, 115(1), 53-74.
• International Energy Agency (IEA) (2020), Data and Statistics, <www.iea.org>, 06.02.2020.
• International Monetary Fund (IMF) (2015), World Economic Outlook, <https://www.İmf.Org/External/Pubs/Ft/Weo/2015/02/Pdf/Text.Pdf>, 06.02.2020.
• Kaya, S. & S. Evren & E. Daşcı (2016), “Yarı-Kurak İklim Koşullarında A Sınıfı Kap Buharlaşmasını Tahmini için Çeşitli Eşitliklerin Karşılaştırılması”, Bursa Uludağ Ziraat Fakültesi Dergisi, 30(2), 1-9.
• Kejun, J. (2009), “Energy Efficiency Improvement in China: A Significant Progress for the 11th Five Year Plan”, Energy Efficiency, 2(4), 401.
• Lescaroux, F. (2008), “Decomposition of Us Manufacturing Energy Intensity and Elasticities of Components with Respect to Energy Prices”, Energy Economics, 30(3), 1068-1080.
• Levin, A. & C.F. Lin & C.S.J. Chu (2002), “Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties”, Journal of Econometrics, 108(1), 1-24.
• Maddala, G.S. & S. Wu (1999), “A Comparative Study of Unit Root Tests with Panel Data and A New Simple Test”, Oxford Bulletin of Economics and Statistics, 61(S1), 631- 652.
• Marques, A.C. & J.A. Fuinhas & J.P. Manso (2010), “Motivations Driving Renewable Energy in European Countries: A Panel Data Approach”, Energy Policy, 38(11), 6877-6885.
• Menz, F.C. & S. Vachon (2006), “The Effectiveness of Different Policy Regimes for Promoting Wind Power: Experiences from the States”, Energy Policy, 34(14), 1786-1796.
• Mingyong, L. & P. Shuijun & B. Qun (2006), “Technology Spillovers, Absorptive Capacity and Economic Growth”, China Economic Review, 17(3), 300-320.
• Mucuk, M. & D. Uysal (2009), “Türkiye Ekonomisinde Enerji Tüketimi ve Ekonomik Büyüme”, Maliye Dergisi, 157(1), 105-115.
• Nepal, R. & N. Paija (2019), “Energy Security, Electricity, Population and Economic Growth: The Case of A Developing South Asian Resource-Rich Economy”, Energy Policy, 132, 771-781.
• Neves, S.A. & A.C. Marques & J.A. Fuinhas (2017), “Is Energy Consumption in the Transport Sector Hampering both Economic Growth and the Reduction of CO2 Emissions? A Disaggregated Energy Consumption Analysis”, Transport Policy, 59(C), 64-70.
• Özbek, S. & S. Türkmen, (2020), “Finansallaşma, İşsizliği Artırıyor mu? E7 Ülkelerinden Yeni Kanıtlar”, İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 9(3), 2096-2115.
• Özbek, S. (2020), “Fisher Etkisi: Yükselen Piyasa Ekonomileri Üzerine Bir Uygulama”, Uluslararası Ekonomi Siyaset İnsan ve Toplum Bilimleri Dergisi, 3(4), 240-251.
• Pan, X. & S. Guo & C. Han & M. Wang & J. Song & X. Liao (2019), “Influence of FDI Quality on Energy Efficiency in China Based on Seemingly Unrelated Regression Method”, Energy, 192(2019), 1-7.
• Pesaran, H. & R. Smith & K.S. Im (1996), Dynamic Linear Models for Heterogenous Panels, in the Econometrics of Panel Data, Springer, Dordrecht, 145-195.
• Pesaran, H. (2004), “General Diagnostic Tests for Cross Section Dependence in Panels”, University of Cambridge, Cambridge Working Papers in Economics, 435, 138.
• Pesaran, M.H. & A. Ullah & T. Yamagata (2008), “A Bias‐Adjusted LM Test of Error Cross‐ Section Independence”, The Econometrics Journal, 11(1), 105-127.
• Pesaran, M.H. & T. Yamagata (2008), “Testing Slope Homogeneity in Large Panels”, Journal of Econometrics, 142(1), 50-93.
• Pesaran, M.H. (2007), “A Simple Panel Unit Root Test in the Presence of Cross‐Section Dependence”, Journal of Applied Econometrics, 22(2), 265-312.
• Raza, M.Y. & M.T.S. Shah (2019), “Analysis of Coal-Related Energy Consumption in Pakistan: An Alternative Energy Resource to Fuel Economic Development, Environment”, Development and Sustainability, 22(2020), 6149-6170.
• Sadorsky, P. (2009), “Renewable Energy Consumption, CO2 Emissions and Oil Prices in the G7 Countries”, Energy Economics, 31(3), 456-462.
• Sahabi, A.M. (2019), “Finansal Performans Ölçütlerinin Firma Değeri Üzerindeki Etkisi: Borsa İstanbul’da Bir Araştırma”, Yayımlanmış Doktora Tezi, Anadolu Üniversitesi/ Sosyal Bilimler Enstitüsü, Eskişehir.
• Sargan, J.D. & A. Bhargava (1983), “Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk”, Econometrica: Journal of the Econometric Society, 51(1), 153-174.
• Stock, J.H. (1999), “A Class of Tests for Integration and Cointegration. Cointegration, Causality and Forecasting”, içinde: A Festschrift in Honour of Clive WJ Granger, 137-167.
• Sun, W. & C. Xu (2020), “Carbon Price Prediction Based on Modified Wavelet Least Square Support Vector Machine”, Science of the Total Environment, 754(2020), 1-10.
• Syzdykova, A.O. (2019), “The Effect of Foreign Direct Investment on Economic Growth: The Case of Central Asian Countries”, International Journal of Cultural and Social Studies, 5(1), 291-307.
• Tian, J. & D. Yang & H. Zhang & L. Liu (2016), “Classification Method of Energy Efficiency and CO2 Emission Intensity of Commercial Trucks in China’s Road Transport”, Procedia Engineering, 137(2016), 75-84.
• Ulusoy, V. (2006, Mayıs), “Ekonomik Büyüme ve Enerji Tüketimi: Bir Ekonometrik Uygulama”, I. Ulusal Türkiye’de Enerji ve Kalkınma Sempozyumu, İstanbul.
• Uygur, E. (2012), “Doğrudan Yabancı Yatırımı Beklerken”, Econstar, <http://hdl.handle.net/10419/81648>, 06.02.2020.
• Valadkhani, A. & R. Smyth & J. Nguyen (2019), “Effects of Primary Energy Consumption on CO2 Emissions Under Optimal Thresholds: Evidence From Sixty Countries over the Last Half Century”, Energy Economics, 80(2019), 680-690.
• Van Ruijven, B. & D.P. Van Vuuren (2009), “Oil and Natural Gas Prices and Greenhouse Gas Emission Mitigation”, Energy Policy, 37(11), 4797-4808.
• Vieira, N.D.B. & L.A.H. Nogueira & J. Haddad (2018), “An Assessment of CO2 Emissions Avoided by Energy-Efficiency Programs: A General Methodology and A Case Study in Brazil”, Energy, 142(2018), 702-715.
• Wang, S. (2017), “Impact of FDI on Energy Efficiency: An Analysis of the Regional Discrepancies in China”, Natural Hazards, 85(2), 1209-1222.
• Westerlund, J. (2008), “Panel Cointegration Tests of the Fisher Effect”, Journal of Applied Econometrics, 23(2), 193-233.
• Zeren, F. & H.T. Akkuş (2020), “The Relationship Between Renewable Energy Consumption and Trade Openness: New Evidence from Emerging Economies”, Renewable Energy, 147(2020), 322-329.
• Zhang, X.P. & X.M. “Cheng & J.H. Yuan & X.J. Gao (2011), Total-Factor Energy Efficiency in Developing Countries”, Energy Policy, 39(2), 644-650.
• Zhao, H. & B. Lin (2019), “Will Agglomeration Improve the Energy Efficiency in China’s Textile Industry: Evidence and Policy Implications”, Applied Energy, 237(2019), 326-337.