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Yükselen Ekonomilerde Enerji Etkinliğini Talep Yanlı Etkileyen Faktörler

Yıl 2021, Cilt: 29 Sayı: 49, 455 - 481, 30.07.2021

Mustafa Naımoglu Mustafa Akal

https://doi.org/10.17233/sosyoekonomi.2021.03.23
Cited By: 8

Öz

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.

Anahtar Kelimeler

Yükselen Ekonomiler Enerji Etkinliği Talep Yanlı Modeller

Kaynakça

  • 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.
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  • 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.
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  • 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.
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  • 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.
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Demand Sided Factors Influencing Energy Efficiency in Emerging Economies

Yıl 2021, Cilt: 29 Sayı: 49, 455 - 481, 30.07.2021

Mustafa Naımoglu Mustafa Akal

https://doi.org/10.17233/sosyoekonomi.2021.03.23
Cited By: 8

Öz

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.

Anahtar Kelimeler

Emerging Economies Energy Efficiency Demand-side Models

Kaynakça

  • 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.
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  • 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.
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Toplam 76 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Ekonomi
Bölüm Makaleler
Yazarlar

Mustafa Naımoglu 0000-0002-2524-1754

Mustafa Akal 0000-0002-0504-100X

Yayımlanma Tarihi 30 Temmuz 2021
Gönderilme Tarihi 26 Aralık 2020
Yayımlandığı Sayı Yıl 2021 Cilt: 29 Sayı: 49

Kaynak Göster

APA Naımoglu, M., & Akal, M. (2021). Yükselen Ekonomilerde Enerji Etkinliğini Talep Yanlı Etkileyen Faktörler. Sosyoekonomi, 29(49), 455-481. https://doi.org/10.17233/sosyoekonomi.2021.03.23
AMA Naımoglu M, Akal M. Yükselen Ekonomilerde Enerji Etkinliğini Talep Yanlı Etkileyen Faktörler. Sosyoekonomi. Temmuz 2021;29(49):455-481. doi:10.17233/sosyoekonomi.2021.03.23
Chicago Naımoglu, Mustafa, ve Mustafa Akal. “Yükselen Ekonomilerde Enerji Etkinliğini Talep Yanlı Etkileyen Faktörler”. Sosyoekonomi 29, sy. 49 (Temmuz 2021): 455-81. https://doi.org/10.17233/sosyoekonomi.2021.03.23.
EndNote Naımoglu M, Akal M (01 Temmuz 2021) Yükselen Ekonomilerde Enerji Etkinliğini Talep Yanlı Etkileyen Faktörler. Sosyoekonomi 29 49 455–481.
IEEE M. Naımoglu ve M. Akal, “Yükselen Ekonomilerde Enerji Etkinliğini Talep Yanlı Etkileyen Faktörler”, Sosyoekonomi, c. 29, sy. 49, ss. 455–481, 2021, doi: 10.17233/sosyoekonomi.2021.03.23.
ISNAD Naımoglu, Mustafa - Akal, Mustafa. “Yükselen Ekonomilerde Enerji Etkinliğini Talep Yanlı Etkileyen Faktörler”. Sosyoekonomi 29/49 (Temmuz 2021), 455-481. https://doi.org/10.17233/sosyoekonomi.2021.03.23.
JAMA Naımoglu M, Akal M. Yükselen Ekonomilerde Enerji Etkinliğini Talep Yanlı Etkileyen Faktörler. Sosyoekonomi. 2021;29:455–481.
MLA Naımoglu, Mustafa ve Mustafa Akal. “Yükselen Ekonomilerde Enerji Etkinliğini Talep Yanlı Etkileyen Faktörler”. Sosyoekonomi, c. 29, sy. 49, 2021, ss. 455-81, doi:10.17233/sosyoekonomi.2021.03.23.
Vancouver Naımoglu M, Akal M. Yükselen Ekonomilerde Enerji Etkinliğini Talep Yanlı Etkileyen Faktörler. Sosyoekonomi. 2021;29(49):455-81.

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