Abstract
This study tests the environmental Kuznets curve (EKC) hypothesis in the transport sector for 28 OECD countries from 1990 to 2019. As a novelty, the relationship between gross domestic product (GDP) and carbon dioxide (CO2) emissions from the transport sector is investigated with the estimation of the dynamic panel threshold regression based on the generalized method of moments (GMM) estimator by Seo and Shin (Seo and Shin, J Econom 2:169–186, 2016). This approach enables us to test EKC and capture possible nonlinearities between variables. Along with the analysis of the EKC hypothesis, our study also investigates the effects of road petroleum products consumption, renewable energy consumption, and trade openness on transport CO2 emissions. The threshold regression results, where GDP per capita is employed as the transition variable, support the nonlinear relationship between CO2 emissions from the transportation sector and GDP by rejecting the null hypothesis of no threshold effect. This finding indicates the existence of two different regimes, i.e., the lower and upper regimes, based on the optimum value of the GDP per capita. Economic growth damages the environment in the lower regime, whereas it improves environmental quality in the upper regime. Therefore, the results indicate the presence of an inverted U-shaped relationship and support the EKC hypothesis in the OECD transportation sector. As a result, it is concluded that achieving sustainable economic growth is critical for investing in environmentally friendly technologies required to achieve the goal of reducing transportation-related CO2.
Similar content being viewed by others
Data availability
The data are available from the authors on request.
Notes
We also employed the panel augmented mean group (AMG) estimator to examine the EKC hypothesis. However, we confronted a multicollinearity problem due to the use of the square of real GDP in the model specification.
References
Acar Y, Gürdal T, Ekeryılmaz Ş (2018) Environmental Kuznets curve for CO2 emissions: an analysis for developing, Middle East, OECD and OPEC countries. Environ Socio-Econ Stud 6(4):48–58. https://doi.org/10.2478/environ-2018-0027
Alaş S (2022). Do environmental technologies help to reduce transport sector CO2 emissions? Evidence from the EU15 countries. Res Transp Econ 91. https://doi.org/10.1016/j.retrec.2021.101047
Alshehry AS, Belloumi M (2017) Study of the environmental Kuznets curve for transport carbon dioxide emissions in Saudi Arabia. Renew Sustain Energy Rev 75:1339–1347. https://doi.org/10.1016/j.rser.2016.11.122
Amin A, Altinoz B, Dogan E (2020) Analyzing the determinants of carbon emissions from transportation in European countries: the role of renewable energy and urbanization. Clean Technol Environ Policy 22:1725–1734. https://doi.org/10.1007/s10098-020-01910-2
Apergis N, Payne JE (2014) The causal dynamics between renewable energy, real GDP, emissions and oil prices: evidence from OECD countries. Appl Econ 46(36):4519–4525. https://doi.org/10.1080/00036846.2014.964834
Apergis N (2016) Environmental Kuznets curves: new evidence on both panel and country-level CO2 emissions. Energy Econ 54:263–271. https://doi.org/10.1016/j.eneco.2015.12.007
Arellano M, Bond S (1991) Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev Econ Stud 58(2):277–297. https://doi.org/10.2307/2297968
Arvin MB, Pradhan RP, Norman NR (2015) Transportation intensity, urbanization, economic growth, and CO2 emissions in the G-20 countries. Util Policy 35:50–66. https://doi.org/10.1016/j.jup.2015.07.003
Aslan A, Gozbasi O (2016) Environmental Kuznets curve hypothesis for sub-elements of the carbon emissions in China. Nat Hazards 82:1327–1340. https://doi.org/10.1007/s11069-016-2246-8
Aslan A, Destek MA, Okumus I (2018) Sectoral carbon emissions and economic growth in the US: further evidence from rolling window estimation method. J Clean Prod 200:402–411. https://doi.org/10.1016/j.jclepro.2018.07.237
Awan A, Alnour M, Jahanger A, Onwe JC (2022) Do technological innovation and urbanization mitigate carbon dioxide emissions from the transport sector? Technol Soc 71. https://doi.org/10.1016/j.techsoc.2022.102128
Aye GC, Edoja PE (2017) Effect of economic growth on CO2 emission in developing countries: evidence from a dynamic panel threshold model. Cogent Econ Finance 5(1). https://doi.org/10.1080/23322039.2017.1379239
Baltagi BH, Bresson G, Pirotte A (2008) To pool or not to pool? In: Mátyás L, Sevestre P (eds) The econometrics of panel data: fundamentals and recent developments in theory and practice. Springer, Berlin, pp 517–546
Baltagi BH, Kao C, Peng B (2016) Testing cross-sectional correlation in large panel data models with serial correlation. Econom 4(44). https://doi.org/10.3390/econometrics4040044
Başar S, Tosun B (2021) Environmental pollution Index and economic growth: evidence from OECD countries. Environ Sci Pollut Res 28:36870–36879. https://doi.org/10.1007/s11356-021-13225-w
Beck KA, Joshi P (2015) An analysis of the environmental Kuznets curve for carbon dioxide emissions: evidence for OECD and Non-OECD countries. Eur J Sustain Dev 4(3):33–45. https://doi.org/10.14207/ejsd.2015.v4n3p33
Bilgili F, Koçak E, Bulut Ü (2016) The dynamic impact of renewable energy consumption on CO2 emissions: a revisited environmental Kuznets curve approach. Renew Sustain Energy Rev 54:838–845. https://doi.org/10.1016/j.rser.2015.10.080
Breusch TS, Pagan AR (1980) The Lagrange multiplier test and its applications to model specification in econometrics. Rev Econ Stud 47(1):239–253. https://doi.org/10.2307/2297111
CBO (2022) Emissions of carbon dioxide in the transportation sector. https://www.cbo.gov/publication/58566 Accessed 10 March 2023
Chen C, Pinar M, Stengos T (2022) Renewable energy and CO2 emissions: new evidence with the panel threshold model. Renew Energy 194:117–128. https://doi.org/10.1016/j.renene.2022.05.095
Cheng C, Ren X, Wang Z (2019) The impact of renewable energy and innovation on carbon emission: an empirical analysis for OECD countries. Energy Procedia 158:3506–3512. https://doi.org/10.1016/j.egypro.2019.01.919
Chudik A, Pesaran MH (2015) Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. J Econom 188(2):393–420. https://doi.org/10.1016/j.econom.2015.03.007
Danish, Baloch MA, Suad S (2018) Modeling the impact of transport energy consumption on CO2 emission in Pakistan: evidence from ARDL approach. Environ Sci Pollut Res 25:9461–9473. https://doi.org/10.1007/s11356-018-1230-0
Destek MA, Sinha A (2020) Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: evidence from organization for economic Co-operation and development countries. J Clean Prod 242. https://doi.org/10.1016/j.jclepro.2019.118537
Dijkgraaf E, Vollebergh HRJ (2001) A note on testing for environmental Kuznets curves with panel data, Fondazione Eni Enrico Mattei Nota Di Lavoro, 63.
Dogan E, Seker F (2016) An investigation on the determinants of carbon emissions for OECD countries: empirical evidence from panel models robust to heterogeneity and cross-sectional dependence. Environ Sci Pollut Res 23:14646–14655. https://doi.org/10.1007/s11356-016-6632-2
Du J, Ahmad M, Uddin I, Xu H, Gu X (2023) From growth to sustainability: investigating N-shaped EKC and the role of energy productivity, technological advancement, and human capital in OECD economies. Environ Sci Pollut Res 30:102374–102388. https://doi.org/10.1007/s11356-023-29514-5
Dzator J, Acheampong AO, Dzator M (2021) The impact of transport infrastructure development on carbon emissions in OECD countries. In Singh P, Verma P, Perrotti D, Srivastava KK (eds.), Environmental sustainability and economy, Elsevier, pp 3–17 https://doi.org/10.1016/B978-0-12-822188-4.00006-3
EEA (2022) Transport and environment report 2021: Decarbonising road transport – the role of vehicles, fuels and transport demand. https://www.eea.europa.eu/publications/transport-and-environment-report-2021 Accessed 9 March 2023.
Erdogan S, Okumus I, Guzel AE (2020) Revisiting the environmental Kuznets curve hypothesis in OECD countries: the role of renewable, non-renewable energy and oil prices. Environ Sci Pollut Res 27:23655–23663. https://doi.org/10.1007/s11356-020-08520-x
Ferreira E, Fuinhas JA, Moutinho V (2022) An investigation of the environmental Kuznets relationship in BRICS countries at a sectoral economic level. Energy Syst 13:1031–1054. https://doi.org/10.1007/s12667-021-00459-3
Galeotti M, Lanza A, Pauli F (2006) Reassessing the environmental Kuznets curve for CO2 emissions: a robustness exercise. Ecol Econ 57:152–163. https://doi.org/10.1016/j.ecolecon.2005.03.031
Galeotti M, Manera M, Lanza A (2009) On the robustness of robustness checks of the environmental Kuznets curve hypothesis. Environ Resour 42:551–574. https://doi.org/10.1007/s10640-008-9224-x
Ganda F (2020) Effect of foreign direct investment, financial development, and economic growth on environmental quality in OECD economies using panel quantile regressions. Environ Qual Manag 30:89–118. https://doi.org/10.1002/tqem.21715
Georgiev E, Mihaylov E (2015) Economic growth and the environment: reassessing the environmental Kuznets Curve for air pollution emissions in OECD countries. Lett Spat Resour Sci 8:29–47. https://doi.org/10.1007/s12076-014-0114-2
Gozgor G (2017) Does trade matter for carbon emissions in OECD countries? Evidence from a new trade openness measure. Environ Sci Pollut Res 24:27813–27821. https://doi.org/10.1007/s11356-017-0361-z
Grossman M G, Krueger BA (1991) Environmental Impacts of a North American free trade agreement. NBER Working Paper Series, 3914.
Guo M, Chen S, Zhang J, Meng J (2022) Environment Kuznets curve in transport sector’s carbon emission: evidence from China. J Clean Prod 371. https://doi.org/10.1016/j.jclepro.2022.133504
Hamilton C, Turton H (2002) Determinants of emissions growth in OECD countries. Energy Policy 30:63–71
Hassan K, Salim R (2015) Population ageing, income, growth and CO2 emission: empirical evidence from high income OECD countries. J Econ Stud 42(1):54–67. https://doi.org/10.1108/JES-04-2013-0046
Hassan SA, Nosheen M, Rafaz N, Haq I (2021) Exploring the existence of aviation Kuznets curve in the context of environmental pollution for OECD nations. Environ Dev Sustain 23:15266–15289. https://doi.org/10.1007/s10668-021-01297-0
Hsiao C (2003) Analysis of panel data. 2nd edn. Cambridge University Press, https://doi.org/10.1017/CBO9780511754203
Htike MM, Shrestha A, Kakinaka M (2022) Investigating whether the environmental Kuznets curve hypothesis holds for sectoral CO2 emissions: evidence from developed and developing countries. Environ Dev Sustain 24:12712–12739. https://doi.org/10.1007/s10668-021-01961-5
IPCC (2022). Climate change 2022 mitigation of climate change: working group III contribution to the sixth assessment report of the intergovernmental panel on climate change. https://www.ipcc.ch/report/ar6/wg3/ Accessed 14 March 2023
IEA (2021). Net zero by 2050: a roadmap for the global energy Sector. https://www.iea.org/reports/net-zero-by-2050 Accessed 5 March 2023
IEA (2022). Tracking report – transport. https://www.iea.org/reports/transport Accessed 5 March 2023
Jalil A, Mahmud SF (2009) Environment Kuznets curve for CO2 emissions: a cointegration analysis for China. Energy Policy 37:5167–5172. https://doi.org/10.1016/j.enpol.2009.07.044
Jebli MB, Youssef SB, Ozturk I (2016) Testing environmental Kuznets curve hypothesis: the role of renewable and non-renewable energy consumption and trade in OECD countries. Ecol Indic 60:824–831. https://doi.org/10.1016/j.ecolind.2015.08.031
Kaika D, Zervas E (2013) The environmental Kuznets curve (EKC) theory – part A: concept, causes and the CO2 emissions case. Energy Policy 62:1392–1402. https://doi.org/10.1016/j.enpol.2013.07.131
Kang H (2021) CO2 Emissions embodied in international trade and economic growth: empirical evidence for OECD and non-OECD countries. Sustain 13(12114). https://doi.org/10.3390/su132112114
Kang H (2022) Impacts of income inequality and economic growth on CO2 emissions: comparing the Gini coefficient and the top income share in OECD countries. Energies 15(6954). https://doi.org/10.3390/en15196954
Khan SAR, Sharif A, Golpîra H, Kumar A (2019) A green ideology in Asian emerging economies: from environmental policy and sustainable development. Sustain Dev 27:1063–1075. https://doi.org/10.1002/sd.1958
Kharbach M, Chfadi T (2017) CO2 emissions in Moroccan road transport sector: divisia, cointegration and EKC analyses. Sustain Cities Soc 35:396–401. https://doi.org/10.1016/j.scs.2017.08.016
Kim S (2022) The effects of information and communication technology, economic growth, trade openness, and renewable energy on CO2 emissions in OECD countries. Energies 15(2517). https://doi.org/10.3390/en15072517
Koçak S, Banday TP, Awan A (2023) Is the environmental Kuznets curve valid for transport sector in Pakistan? New evidence for non-renewable energy and urbanization using the QARDL approach. Environ Sci Pollut Res https://doi.org/10.1007/s11356-023-27255
Kuznets S (1955) Economic growth and income inequality. Am Econ Rev 45(1):1–28
Lau LS, Choong CK, Ng CF, Liew FM, Ching SL (2019) Is nuclear energy clean? Revisit of environmental Kuznets curve hypothesis in OECD countries. Econ Model 77:12–20. https://doi.org/10.1016/j.econmod.2018.09.015
Lin B, Benjamin NI (2017) Influencing factors on carbon emissions in China transport industry. A new evidence from quantile regression analysis. J Clean Prod 150:175–187. https://doi.org/10.1016/j.jclepro.2017.02.171
Ma B, Sharif A, Bashir M, Bashir MF (2023) The dynamic influence of energy consumption, fiscal policy and green innovation on environmental degradation in BRICST economies. Energy Policy 183. https://doi.org/10.1016/j.enpol.2023.113823
Marques AC, Fuinhas JA (2012) Is renewable energy effective in promoting growth? Energy Policy 46:434–442. https://doi.org/10.1016/j.enpol.2012.04.006
Mohsin M, Abbas Q, Zhang J, Ikram M, Iqbal N (2019) Integrated effect of energy consumption, economic development, and population growth on CO2 based environmental degradation: a case of transport sector. Environ Sci Pollut Res 26:32824–32835. https://doi.org/10.1007/s11356-019-06372-8
Mujtaba A, Jena PB, Bekun FV, Sahu PK (2022) Symmetric and asymmetric impact of economic growth, capital formation, renewable and non-renewable energy consumption on environment in OECD countries. Renew Sustain Energy Rev 160. https://doi.org/10.1016/j.rser.2022.112300
Narayan PK, Narayan S (2010) Carbon dioxide emissions and economic growth: panel data evidence from developing countries. Energy Policy 38:661–666. https://doi.org/10.1016/j.enpol.2009.09.005
Nasrollahi Z, Hashemi MS, Bameri S, Taghvaee VM (2020) Environmental pollution, economic growth, population, industrialization, and technology in weak and strong sustainability: using STIRPAT model. Environ Dev Sustain 22:1105–1122. https://doi.org/10.1007/s10668-018-0237-5
Nawaz MA, Hussain MS, Kamran HW, Ehsanullah S, Maheen R, Shair F (2021) Trilemma association of energy consumption, carbon emission and economic growth of BRICS and OECD regions: quantile regression estimation. Environ Sci Pollut Res 28:16014–16028. https://doi.org/10.1007/s11356-020-11823-8
Okumus I, Guzel AE, Destek MA (2021) Renewable, non-renewable energy consumption and economic growth nexus in G7: fresh evidence from CS-ARDL. Environ Sci Pollut Res 28:56595–56605. https://doi.org/10.1007/s11356-021-14618-7
Ozcan B, Tzeremes PG, Tzeremes NG (2020) Energy consumption, economic growth and environmental degradation in OECD countries. Econ Model 84:203–213. https://doi.org/10.1016/j.econmod.2019.04.010
Ozkan T, Yanginlar G, Kalayci S (2019) Testing the transportation-induced environmental Kuznets curve hypothesis: evidence from eight developed and developing countries. Int J Energy Econ Policy 9(1):174–183. https://doi.org/10.32479/ijeep.7330
Ozkan O, Sharif A, Mey LS, Tiwari S (2023) The dynamic role of green technological innovation, financial development and trade openness on urban environmental degradation in China: fresh insights from carbon efficiency. Urban Clim 52. https://doi.org/10.1016/j.uclim.2023.101679
Özokcu S, Özdemir Ö (2017) Economic growth, energy, and environmental Kuznets curve. Renew Sustain Energy Rev 72:639–647. https://doi.org/10.1016/j.rser.2017.01.059
Panayotou T (1993) Empirical tests and policy analysis of environmental degradation at different stages of economic development. ILO Working Papers, 238.
Panayotou T (1997) Demystifying the environmental Kuznets curve: turning a black box into a policy tool. Environ Dev Econ 2(4):465–484
Panayotou T (2003) Economic growth and the environment, paper prepared for and presented at the Spring Seminar of the United Nations Economic Commission for Europe, Geneva. https://digitallibrary.un.org/record/488313 Accessed 15 March 2023
Pesaran MH (2004) General diagnostic tests for cross section dependence in panels. IZA Discussion Paper Series, 1240.
Pesaran MH (2006) Estimation and inference in large heterogeneous panels with a multifactor error structure. Econom 74(4):967–1012
Pesaran MH (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Econom 22(2):265–312. https://doi.org/10.1002/jae.951
Pesaran MH, Ullah A, Yamagata T (2008) A bias-adjusted LM test of error cross-section independence. Econom J 11(1):105–127. https://doi.org/10.1111/j.1368-423X.2007.00227.x
Pesaran MH, Yamagata T (2008) Testing slope homogeneity in large panels. J Econom 142:50–93. https://doi.org/10.1016/j.jeconom.2007.05.010
Rasool Y, Zaidi SAH, Zafar MW (2019) Determinants of carbon emissions in Pakistan’s transport sector. Environ Sci Pollut Res 26:22907–22921. https://doi.org/10.1007/s11356-019-05504-4
Raza SA, Shah N, Sharif A (2019) Time frequency relationship between energy consumption, economic growth and environmental degradation in the United States: Evidence from transportation sector. Energy 173:706–720. https://doi.org/10.1016/j.energy.2019.01.077
Saboori B, Sapri M, Baba MB (2014) Economic growth, energy consumption and CO2 emissions in OECD (Organization for Economic Co-operation and Development)’s transport sector: a fully modified bi-directional relationship approach. Energy 66:150–161. https://doi.org/10.1016/j.energy.2013.12.048
Saidi K, Omri A (2020) Reducing CO2 emissions in OECD countries: do renewable and nuclear energy matter? Prog Nucl Energy 126. https://doi.org/10.1016/j.pnucene.2020.103425
Salinas A, Ortiz C, Changoluisa J, Muffatto M (2023) Testing three views about the determinants of informal economy: new evidence at global level and by country groups using the CS-ARDL approach. Econ Anal Policy 78:438–455. https://doi.org/10.1016/j.eap.2023.03.016
Sarafidis V, Robertson D (2009) On the impact of error cross-sectional dependence in short dynamic panel estimation. Econom J 12(1):62–81. https://doi.org/10.1111/j.1368-423X.2008.00260.x
Seo MH, Shin Y (2016) Dynamic panels with threshold effect and endogeneity. J Econom 2:169–186. https://doi.org/10.1016/j.jeconom.2016.03.005
Shafik N, Bandyopadhyay S (1992) Economic growth and environmental quality: time series and cross-country evidence. World Bank Policy Research Working Paper, 904.
Shahbaz M, Khraief N, Jemaa MMB (2015) On the causal nexus of road transport CO2 emissions and macroeconomic variables in Tunisia: evidence from combined cointegration tests. Renew Sustain Energy Rev 51:89–100. https://doi.org/10.1016/j.rser.2015.06.014
Sharif A, Raza SA, Ozturk I, Afshan S (2019) The dynamic relationship of renewable and non-renewable energy consumption with carbon emission: a global study with the application of heterogeneous panel estimations. Renew Energy 133:685–691. https://doi.org/10.1016/j.renene.2018.10.052
Sharif A, Baris-Tuzemen O, Uzuner G, Ozturk I, Sinha A (2020) Revisiting the role of renewable and non-renewable energy consumption on Turkey’s ecological footprint: evidence from quantile ARDL approach. Sustain Cities and Soc 57. https://doi.org/10.1016/j.scs.2020.102138.
Sharif A, Kartal MT, Bekun FV, Pata UK, Foon CL, Depren SK (2023) Role of green technology, environmental taxes, and green energy towards sustainable environment: insights from sovereign Nordic countries by CS-ARDL approach. Gondwana Res 117:194–206. https://doi.org/10.1016/j.gr.2023.01.009
Sheng MS, Sharp B, Yi M, Wen L, Suomalainen K (2022) A cointegration analysis of New Zealand’s economic development, fossil fuel usage and transport emissions. Case Stud Transp Policy 10:2497–2505. https://doi.org/10.1016/j.cstp.2022.11.006
Simionescu M (2021) Revised environmental Kuznets curve in CEE countries. Evidence from panel threshold models for economic sectors. Environ Sci Pollut Res 28:60881–60899. https://doi.org/10.1007/s11356-021-14905-3
Sirag A, Matemilola BT, Law SH, Bany-Ariffin AN (2018) Does environmental Kuznets curve hypothesis exist? Evidence from dynamic panel threshold. J Environ Econ Policy 7(2):145–165. https://doi.org/10.1080/21606544.2017.1382395
SLOCAT (2021) Tracking trends in a time of change: the need for radical action towards sustainable transport decarbonisation, transport and climate change global status report – 2nd edition. https://tcc-gsr.com Accessed 5 March 2023
Sohag K, Kalugina O, Samargandi N (2019) Re-visiting environmental Kuznets curve: role of scale, composite and technology factors in OECD countries. Environ Sci Pollut Res 26:27726–27737. https://doi.org/10.1007/s11356-019-05965-7
Su L, Chen Q (2013) Testing homogeneity in panel data models with interactive fixed effects. Econom Theory 29(6):1079–1135. https://doi.org/10.1017/S0266466613000017
Sun H, Samuel CA, Amissah JCK, Taghizadeh-Hesary F, Mensah IA (2020) Nonlinear nexus between CO2 emissions and economic growth: a comparison of OECD and B&R countries. Energy 12. https://doi.org/10.1016/j.energy.2020.118637
Swamy PA (1970) Efficient inference in a random coefficient regression model. Econom: J Econom Soc 38(2):311–323. https://doi.org/10.2307/1913012
Şanlı D, Muratoğlu Y, Songur M, Uğurlu E (2023) The asymmetric effect of renewable and non-renewable energy on carbon emissions in OECD: new evidence from nonlinear panel ARDL model. Front Environ Sci 11:1228296. https://doi.org/10.3389/fenvs.2023.1228296
Timilsina GR, Shrestha A (2009a) Transport sector CO2 emissions growth in Asia: underling factors and policy options. Energy Policy 37:4523–4539. https://doi.org/10.1016/j.enpol.2009.06.009
Timilsina GR, Shrestha A (2009b) Factors affecting transport sector CO2 emissions growth in Latin American and Caribbean countries: an LMDI decomposition analysis. Int J Energy Res 33:396–414. https://doi.org/10.1002/er.1486
Uçak H, Aslan A, Yucel F, Turgut A (2015) A dynamic analysis of CO2 emissions and the GDP relationship: empirical evidence from high-income OECD countries. Energy Sour, Part b: Econ Plan Policy 10(1):38–50. https://doi.org/10.1080/15567249.2010.514586
Ulucak R, Danish, Ozcan B (2020) Relationship between energy consumption and environmental sustainability in OECD countries: the role of natural resources rents. Resour Policy 69. https://doi.org/10.1016/j.resourpol.2020.101803
UN (2021) Sustainable transport, sustainable development. Interagency report for second Global Sustainable Transport Conference. https://sdgs.un.org/sites/default/files/2021-10/Transportation%20Report%202021_FullReport_Digital.pdf Accessed 13 March 2023
Vo DH, Ho CM, Le QTT, Vo AT (2022) Revisiting the energy-growth-environment nexus in the OECD countries: an application of the CS-ARDL approach. Energy Sustain Soc 12(47). https://doi.org/10.1186/s13705-022-00375-z
Wang Q, Yang T, Li R (2023) Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis. Environ Res 216. https://doi.org/10.1016/j.envres.2022.114575
World Bank (2023) New World Bank country classification by income level: 2022–2023. https://blogs.worldbank.org/opendata/new-world-bank-country-classifications-income-level-2022-2023 Accessed 30 October 2023
Zeqiraj V, Sohag K, Soytas U (2020) Stock market development and low-carbon economy: the role of innovation and renewable energy. Energy Econ 91. https://doi.org/10.1016/j.eneco.2020.104908
Author information
Authors and Affiliations
Contributions
Abdurrahman Nazif Çatık: conceptualization, methodology, software, validation, investigation, formal analysis, writing—review and editing, supervision. Ali İlhan: conceptualization, methodology, software, validation, investigation, formal analysis, writing—original draft. Coşkun Akdeniz: conceptualization, methodology, software, validation, investigation, formal analysis, writing—original draft.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Arshian Sharif
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Çatik, A.N., İlhan, A. & Akdeniz, C. Testing the environmental Kuznets curve hypothesis in the transport sector for OECD countries: a dynamic panel threshold approach. Environ Sci Pollut Res 31, 6372–6384 (2024). https://doi.org/10.1007/s11356-023-31468-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-31468-7