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Impact of Green Environmental Policies and Green Taxes on Carbon Emissions: Panel Threshold Regression Analysis

Year 2024, , 455 - 477, 28.10.2024
https://doi.org/10.17233/sosyoekonomi.2024.04.21

Abstract

This study analyses the possible non-linear effects of green (environmental) policy stringency and green fiscal (market-based) policy stringency on carbon emissions, and suggestions are given to reduce carbon emissions. In panel threshold regression findings, while no threshold effect for green (environmental) policy stringency is observed in the relationship between GDPs per capita and carbon emissions, when urban population, service sector and environmental technologies patents are used as regime-dependent variables, a threshold effect is observed for green (environmental) policy stringency. In this context, in the high green (environmental) policy stringency regime, the increase in urban population and environmental technologies patents reduce carbon emissions, while the rise in the share of the service sector increases carbon emissions. However, when green fiscal (market-based) policies that use taxes to combat environmental pollution are used as the threshold, no threshold effect is observed for the variables urban population, environmental technologies patents, service sector and GDP per capita.

References

  • Agostini, P. et al. (1992), “A carbon tax to reduce CO2 emissions in Europe”, Energy Economics, 14, 279-290.
  • Ahmed, K. (2020), “Environmental policy stringency, related technological change and emissions inventory in 20 OECD countries”, Journal of Environmental Management, 274, 111209.
  • Alam, J. (2014), “On the Relationship between Economic Growth and CO2 Emissions: The Bangladesh Experience”, IOSR Journal of Economics and Finance (IOSR-JEF), 5(6), 36-41.
  • Ansari, M.A. (2022), “Re-visiting the Environmental Kuznets curve for ASEAN: A comparison between ecological footprint and carbon dioxide emissions”, Renewable and Sustainable Energy Reviews, 168, 112867.
  • Aslanidis, N. & S. Iranzo (2009), “Environment and development: Is there a Kuznets curve for CO2 emissions?”, Applied Economics, 41(6), 803-810.
  • Baltagi, B.H. (2001), Econometric Analysis of Panel Data, Chichester, John Wiley & Sons. Ltd.
  • Botta, E. & T. Kozluk (2014), “Measuring Environmental Policy Stringency in OECD Countries: A Composite Index Approach”, OECD Economics Department Working Papers No. 1177, Paris: OECD Publishing, Paris.
  • Chan, K.S. (1993), “Consistency and limiting distribution of the least squares estimator of a threshold autoregressive model”, Annals of Statistics, 21, 520-533.
  • Chaudhry, I.S. et al. (2022), “Moderating Role of Institutional Quality in Validation of Pollution Haven Hypothesis in BRICS: A New Evidence by Using DCCE Approach”, Environmental Science and Pollution Research, 29, 9193-9202.
  • Chen, J.H. & Y.F. (2014), “Non-linear environment and economic growth nexus: A panel smooth transition regression approach”, Journal of International and Global Economic Studies, 7(2), 1-16.
  • Chen, Y. & Z. Huang (2014), “Research on the relationship between economic growth and carbon emissions based on panel threshold model”, Energy Procedia, 61, 1580-1583.
  • Chien, F. et al. (2021), “A step toward reducing air pollution in top Asian economies: The role of green energy, ecoinnovation, and environmental taxes”, Journal of Environmental Management, 297, 113420.
  • Dagar, V. et al. (2022), “Testing the Pollution Haven Hypothesis with the Role of Foreign Direct Investments and Total Energy Consumption”, Energies, 15(11), 4046.
  • Dasgupta, S. et al. (2002), “Confronting the Environmental Kuznets Curve”, Journal of Economic Perspectives, 16(1), 147-168.
  • Deacon, R. & C.S. Norman (2004), “Does the Environmental Kuznets Curve Describe How Individual Countries Behave?”, UCSB Working Papers.
  • Du, K. et al. (2019), “Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data”, Technological Forecasting and Social Change, 146, 297-303.
  • Gujarati, D.N. (2004), Basic Econometrics (4th ed.), New York: McGraw-Hill.
  • Hansen, B.E. (1999), “Threshold effects in non-dynamic panels: Estimating, testing and inference”, Journal of Econometrics, 93, 345-368.
  • Hashmi, R. & K. Alam (2019), “Dynamic relationship among environmental regulation, innovation, CO2 emissions, population, and economic growth in OECD countries: A panel investigation”, Journal of Cleaner Production, 231, 1100-1109.
  • Hassan, S.T. et al. (2022), “Is public service transportation increase environmental contamination in China? The role of nuclear energy consumption and technological change”, Energy, 238, 121890.
  • Hsu, C.C. et al. (2021), “A step towards sustainable environment in China: The role of eco-innovation renewable energy and environmental taxes”, Journal of Environmental Management, 299, 113609.
  • Khan, A. et al. (2021), “Impact of technological innovation, financial development and foreign direct investment on renewable energy, non-renewable energy and the environment in Belt & Road Initiative countries”, Renewable Energy, 171, 479-491.
  • Lin, B. & X. Li (2011), “The effect of carbon tax on per capita CO2 emissions”, Energy Policy, 39, 5137-5146.
  • Mideksa, T.K. (2021), “Pricing for a cooler planet: An empirical analysis of the effect of taxing carbon”, CESifo Working Paper Series, 9172.
  • Morley, B. (2012), “Empirical evidence on the effectiveness of environmental taxes”, Applied Economics Letters, 19(18), 1817-1820.
  • OECD (2023a), Environmental Policy Stringency Index, <https://stats.oecd.org/#>, 24.09.2023.
  • OECD (2023b), Environmental Technologies Patents, <https://data.oecd.org/envpolicy/patents-on-environment-technologies.htm#indicator-chart>, 06.09.2023.
  • Pao, H.T. & C.M. Tsai (2011), “Modeling and forecasting the CO2 emissions, energy consumption and economic growth in Brazil”, Energy, 36, 2450-2458.
  • Quynh, M.P. et al. (2022), “The role of climate finance in achieving COP26 goals: Evidence from N-11 countries”, Cuadernos de Economía, 45(128), 1-12.
  • Shahbaz, M. et al. (2018), “Do foreign capital and financial development affect clean energy consumption and carbon emissions? Evidence from BRICS and Next-11 countries”, SPOUDAI Journal of Economics and Business, 68(4), 20-50.
  • Tao, R. et al. (2021), “The dynamic effect of eco-innovation and environmental taxes on carbon neutrality target in emerging seven (E7) economies”, Journal of Environmental Management, 299, 113525.
  • Wang, T. et al. (2023), “Green finance and clean taxes are the ways to curb carbon emissions: An OECD experience”, Energy Economics, 124, 106842.
  • Wiedmann, T. & J. Minx (2008), “A definition of carbon footprint”, Ecological Economics Research Trends, 1, 1-11.
  • World Bank (2023a). CO2 Emissions, <https://databank.worldbank.org/reports.aspx?source=2&series=EN.ATM.CO2E.PC&country=#>, 08.09.2023.
  • World Bank (2023b), Services Value Added, <https://databank.worldbank.org/reports.aspx?source=2&series=NV.SRV.TOTL.ZS&country=#>, 08.09.2023.
  • World Bank (2023c), GDP Growth Per Capita, <https://databank.worldbank.org/reports.aspx?source=2&series=NY.GDP.PCAP.KD.ZG&country=#>, 08.09.2023.
  • World Bank (2023d), Urban Population, <https://databank.worldbank.org/reports.aspx?source=2&series=SP.URB.TOTL.IN.ZS&country=#>, 08.09.2023.
  • Zhang, X.P. & X.M. Cheng (2009), “Energy consumption, carbon emissions and economic growth in China”, Ecological Economics, 68, 2706-2712.

Yeşil Çevre Politikaları ve Yeşil Vergilerin Karbon Emisyonu Üzerindeki Etkisi: Panel Eşik Regresyon Analizi

Year 2024, , 455 - 477, 28.10.2024
https://doi.org/10.17233/sosyoekonomi.2024.04.21

Abstract

Bu çalışmada, yeşil (çevre) politika sıkılığı ve yeşil mali (piyasa tabanlı) politika sıkılığının karbon emisyonu üzerinde doğrusal olmayan olası etkileri analiz edilerek karbon emisyonunun azaltılmasıyla ilgili öneriler verilmektir. Panel eşik regresyon bulgularında, kişi başına düşen GSYH ile karbon emisyonu arasındaki ilişkide yeşil (çevre) politika sıkılığı için eşik etkisi gözlemlenmemekteyken; kentsel nüfus, hizmet sektörü ve çevre teknolojileri patentleri rejime bağlı değişken olarak kullanıldığında yeşil (çevre) politika sıkılığı için eşik etkisi gözlemlenmektedir. Bu kapsamda, yüksek yeşil (çevre) politika sıkılığı rejiminde; kentsel nüfustaki artış ile çevre teknolojileri patentlerindeki artış karbon emisyonunu azaltmaktadır, hizmet sektörünün payındaki artış ise karbon emisyonunu artırmaktadır. Bununla birlikte, çevre kirliliği ile mücadele için vergileri kullanan yeşil mali (piyasa tabanlı) politikaların eşik olarak kullanıldığı durumda, kentsel nüfus, çevre teknolojileri patentleri, hizmet sektörü ve kişi başına düşen GSYH değişkenleri için eşik etkisi gözlemlenmemektedir.

References

  • Agostini, P. et al. (1992), “A carbon tax to reduce CO2 emissions in Europe”, Energy Economics, 14, 279-290.
  • Ahmed, K. (2020), “Environmental policy stringency, related technological change and emissions inventory in 20 OECD countries”, Journal of Environmental Management, 274, 111209.
  • Alam, J. (2014), “On the Relationship between Economic Growth and CO2 Emissions: The Bangladesh Experience”, IOSR Journal of Economics and Finance (IOSR-JEF), 5(6), 36-41.
  • Ansari, M.A. (2022), “Re-visiting the Environmental Kuznets curve for ASEAN: A comparison between ecological footprint and carbon dioxide emissions”, Renewable and Sustainable Energy Reviews, 168, 112867.
  • Aslanidis, N. & S. Iranzo (2009), “Environment and development: Is there a Kuznets curve for CO2 emissions?”, Applied Economics, 41(6), 803-810.
  • Baltagi, B.H. (2001), Econometric Analysis of Panel Data, Chichester, John Wiley & Sons. Ltd.
  • Botta, E. & T. Kozluk (2014), “Measuring Environmental Policy Stringency in OECD Countries: A Composite Index Approach”, OECD Economics Department Working Papers No. 1177, Paris: OECD Publishing, Paris.
  • Chan, K.S. (1993), “Consistency and limiting distribution of the least squares estimator of a threshold autoregressive model”, Annals of Statistics, 21, 520-533.
  • Chaudhry, I.S. et al. (2022), “Moderating Role of Institutional Quality in Validation of Pollution Haven Hypothesis in BRICS: A New Evidence by Using DCCE Approach”, Environmental Science and Pollution Research, 29, 9193-9202.
  • Chen, J.H. & Y.F. (2014), “Non-linear environment and economic growth nexus: A panel smooth transition regression approach”, Journal of International and Global Economic Studies, 7(2), 1-16.
  • Chen, Y. & Z. Huang (2014), “Research on the relationship between economic growth and carbon emissions based on panel threshold model”, Energy Procedia, 61, 1580-1583.
  • Chien, F. et al. (2021), “A step toward reducing air pollution in top Asian economies: The role of green energy, ecoinnovation, and environmental taxes”, Journal of Environmental Management, 297, 113420.
  • Dagar, V. et al. (2022), “Testing the Pollution Haven Hypothesis with the Role of Foreign Direct Investments and Total Energy Consumption”, Energies, 15(11), 4046.
  • Dasgupta, S. et al. (2002), “Confronting the Environmental Kuznets Curve”, Journal of Economic Perspectives, 16(1), 147-168.
  • Deacon, R. & C.S. Norman (2004), “Does the Environmental Kuznets Curve Describe How Individual Countries Behave?”, UCSB Working Papers.
  • Du, K. et al. (2019), “Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data”, Technological Forecasting and Social Change, 146, 297-303.
  • Gujarati, D.N. (2004), Basic Econometrics (4th ed.), New York: McGraw-Hill.
  • Hansen, B.E. (1999), “Threshold effects in non-dynamic panels: Estimating, testing and inference”, Journal of Econometrics, 93, 345-368.
  • Hashmi, R. & K. Alam (2019), “Dynamic relationship among environmental regulation, innovation, CO2 emissions, population, and economic growth in OECD countries: A panel investigation”, Journal of Cleaner Production, 231, 1100-1109.
  • Hassan, S.T. et al. (2022), “Is public service transportation increase environmental contamination in China? The role of nuclear energy consumption and technological change”, Energy, 238, 121890.
  • Hsu, C.C. et al. (2021), “A step towards sustainable environment in China: The role of eco-innovation renewable energy and environmental taxes”, Journal of Environmental Management, 299, 113609.
  • Khan, A. et al. (2021), “Impact of technological innovation, financial development and foreign direct investment on renewable energy, non-renewable energy and the environment in Belt & Road Initiative countries”, Renewable Energy, 171, 479-491.
  • Lin, B. & X. Li (2011), “The effect of carbon tax on per capita CO2 emissions”, Energy Policy, 39, 5137-5146.
  • Mideksa, T.K. (2021), “Pricing for a cooler planet: An empirical analysis of the effect of taxing carbon”, CESifo Working Paper Series, 9172.
  • Morley, B. (2012), “Empirical evidence on the effectiveness of environmental taxes”, Applied Economics Letters, 19(18), 1817-1820.
  • OECD (2023a), Environmental Policy Stringency Index, <https://stats.oecd.org/#>, 24.09.2023.
  • OECD (2023b), Environmental Technologies Patents, <https://data.oecd.org/envpolicy/patents-on-environment-technologies.htm#indicator-chart>, 06.09.2023.
  • Pao, H.T. & C.M. Tsai (2011), “Modeling and forecasting the CO2 emissions, energy consumption and economic growth in Brazil”, Energy, 36, 2450-2458.
  • Quynh, M.P. et al. (2022), “The role of climate finance in achieving COP26 goals: Evidence from N-11 countries”, Cuadernos de Economía, 45(128), 1-12.
  • Shahbaz, M. et al. (2018), “Do foreign capital and financial development affect clean energy consumption and carbon emissions? Evidence from BRICS and Next-11 countries”, SPOUDAI Journal of Economics and Business, 68(4), 20-50.
  • Tao, R. et al. (2021), “The dynamic effect of eco-innovation and environmental taxes on carbon neutrality target in emerging seven (E7) economies”, Journal of Environmental Management, 299, 113525.
  • Wang, T. et al. (2023), “Green finance and clean taxes are the ways to curb carbon emissions: An OECD experience”, Energy Economics, 124, 106842.
  • Wiedmann, T. & J. Minx (2008), “A definition of carbon footprint”, Ecological Economics Research Trends, 1, 1-11.
  • World Bank (2023a). CO2 Emissions, <https://databank.worldbank.org/reports.aspx?source=2&series=EN.ATM.CO2E.PC&country=#>, 08.09.2023.
  • World Bank (2023b), Services Value Added, <https://databank.worldbank.org/reports.aspx?source=2&series=NV.SRV.TOTL.ZS&country=#>, 08.09.2023.
  • World Bank (2023c), GDP Growth Per Capita, <https://databank.worldbank.org/reports.aspx?source=2&series=NY.GDP.PCAP.KD.ZG&country=#>, 08.09.2023.
  • World Bank (2023d), Urban Population, <https://databank.worldbank.org/reports.aspx?source=2&series=SP.URB.TOTL.IN.ZS&country=#>, 08.09.2023.
  • Zhang, X.P. & X.M. Cheng (2009), “Energy consumption, carbon emissions and economic growth in China”, Ecological Economics, 68, 2706-2712.
There are 38 citations in total.

Details

Primary Language Turkish
Subjects Green Economy
Journal Section Articles
Authors

Mustafa Kurt 0000-0002-3130-6227

Early Pub Date October 13, 2024
Publication Date October 28, 2024
Submission Date February 6, 2024
Acceptance Date August 23, 2024
Published in Issue Year 2024

Cite

APA Kurt, M. (2024). Yeşil Çevre Politikaları ve Yeşil Vergilerin Karbon Emisyonu Üzerindeki Etkisi: Panel Eşik Regresyon Analizi. Sosyoekonomi, 32(62), 455-477. https://doi.org/10.17233/sosyoekonomi.2024.04.21
AMA Kurt M. Yeşil Çevre Politikaları ve Yeşil Vergilerin Karbon Emisyonu Üzerindeki Etkisi: Panel Eşik Regresyon Analizi. Sosyoekonomi. October 2024;32(62):455-477. doi:10.17233/sosyoekonomi.2024.04.21
Chicago Kurt, Mustafa. “Yeşil Çevre Politikaları Ve Yeşil Vergilerin Karbon Emisyonu Üzerindeki Etkisi: Panel Eşik Regresyon Analizi”. Sosyoekonomi 32, no. 62 (October 2024): 455-77. https://doi.org/10.17233/sosyoekonomi.2024.04.21.
EndNote Kurt M (October 1, 2024) Yeşil Çevre Politikaları ve Yeşil Vergilerin Karbon Emisyonu Üzerindeki Etkisi: Panel Eşik Regresyon Analizi. Sosyoekonomi 32 62 455–477.
IEEE M. Kurt, “Yeşil Çevre Politikaları ve Yeşil Vergilerin Karbon Emisyonu Üzerindeki Etkisi: Panel Eşik Regresyon Analizi”, Sosyoekonomi, vol. 32, no. 62, pp. 455–477, 2024, doi: 10.17233/sosyoekonomi.2024.04.21.
ISNAD Kurt, Mustafa. “Yeşil Çevre Politikaları Ve Yeşil Vergilerin Karbon Emisyonu Üzerindeki Etkisi: Panel Eşik Regresyon Analizi”. Sosyoekonomi 32/62 (October 2024), 455-477. https://doi.org/10.17233/sosyoekonomi.2024.04.21.
JAMA Kurt M. Yeşil Çevre Politikaları ve Yeşil Vergilerin Karbon Emisyonu Üzerindeki Etkisi: Panel Eşik Regresyon Analizi. Sosyoekonomi. 2024;32:455–477.
MLA Kurt, Mustafa. “Yeşil Çevre Politikaları Ve Yeşil Vergilerin Karbon Emisyonu Üzerindeki Etkisi: Panel Eşik Regresyon Analizi”. Sosyoekonomi, vol. 32, no. 62, 2024, pp. 455-77, doi:10.17233/sosyoekonomi.2024.04.21.
Vancouver Kurt M. Yeşil Çevre Politikaları ve Yeşil Vergilerin Karbon Emisyonu Üzerindeki Etkisi: Panel Eşik Regresyon Analizi. Sosyoekonomi. 2024;32(62):455-77.