Abstract
Environmental degradation has severely affected the natural cycle of ecosystem. It’s high time now and humans should execute strategies effectively to protect the further degradation. Initially, we need to understand the ways that might affect the environment. Thus, existing research is designed to explore the nonlinear association between financial development (FD) and carbon dioxide emissions (CO2) in the context of low-income countries by employing the yearly data of 1990–2016. The panel smooth transition regression model (PSTR) is applied, and the result confirmed that the nexus between the two variables are nonlinear. Moreover, it also shows that at a low regime, FD increases the CO2 emissions but as the economy of low-income states progress to the high regime, the association between the two variables becomes negative and significant. The study also confirms that FD can reduce CO2 emissions once it reaches a certain threshold point. Based on these findings, new insights are provided for the policymakers, and several policies are suggested to improve the environmental quality in low-income countries.
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Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Adams S, Klobodu EKM (2018) Financial development and environmental degradation: does political regime matter? J Clean Prod 197:1472–1479
Agbanike TF, Nwani C, Uwazie UI, Anochiwa LI, Onoja TGC, Ogbonnaya IO (2019) Oil price, energy consumption and carbon dioxide (CO2) emissions: insight into sustainability challenges in Venezuela. Latin American Economic Review 28(1):8
Ali HS, Law SH, Lin WL, Yusop Z, Chin L, Bare UAA (2019) Financial development and carbon dioxide emissions in Nigeria: evidence from the ARDL bounds approach. GeoJournal 84(3):641–655
Al-Mulali U, Tang CF, Ozturk I (2015a) Does financial development reduce environmental degradation? Evidence from a panel study of 129 countries. Environ Sci Pollut Res 22(19):14891–14900
Al-Mulali U, Weng-Wai C, Sheau-Ting L, Mohammed AH (2015b) Investigating the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an indicator of environmental degradation. Ecol Indic 48:315–323
Andersson FN (2018) International trade and carbon emissions: the role of Chinese institutional and policy reforms. J Environ Manag 205:29–39
Atici C (2009) Carbon emissions in Central and Eastern Europe: environmental Kuznets curve and implications for sustainable development. Sustain Dev 17(3):155–160
Charfeddine L, Kahia M (2019) Impact of renewable energy consumption and financial development on CO2 emissions and economic growth in the MENA region: a panel vector autoregressive (PVAR) analysis. Renew Energy 139:198–213
Collins D, Zheng C (2015) Managing the poverty–CO2 reductions paradox: the case of China and the EU. Organization & Environment 28(4):355–373
Dogan E, Seker F (2016) The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries. Renew Sust Energ Rev 60:1074–1085
Dogan E, Turkekul B (2016) CO 2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environ Sci Pollut Res 23(2):1203–1213
Ehigiamusoe KU, Lean HH (2019) Effects of energy consumption, economic growth, and financial development on carbon emissions: evidence from heterogeneous income groups. Environ Sci Pollut Res 26(22):22611–22624
Eltayeb H, Kılıçman A, Fisher B (2010) A new integral transform and associated distributions. Integral Transforms and Special Functions 21(5):367–379
Eren BM, Taspinar N, Gokmenoglu KK (2019) The impact of financial development and economic growth on renewable energy consumption: empirical analysis of India. Science of the Total Environment 663:189–197
Essandoh OK, Islam M, Kakinaka M (2020) Linking international trade and foreign direct investment to CO2 emissions: any differences between developed and developing countries? Sci Total Environ 712:136437
Farhani S, Ozturk I (2015) Causal relationship between CO 2 emissions, real GDP, energy consumption, financial development, trade openness, and urbanization in Tunisia. Environ Sci Pollut Res 22(20):15663–15676
Fouquau J, Hurlin C, Rabaud I (2008) The Feldstein–Horioka puzzle: a panel smooth transition regression approach. Econ Model 25(2):284–299
Gainelli G, Fracasso A, Vittucci Marzetti G (2015) Spatial agglomeration and productivity in Italy: a panel smooth transition regression approach. Pap Reg Sci 94:S39–S67
Gonzalez A, Ter€asvirta T, van Dijk D (2005) Panel smooth transition regression models, (no 165). Quantitative Finance Research Centre, University of Technology, Sydney, Research Paper Series
Halicioglu F (2009) An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy 37(3):1156–1164
Hansen BE (2000) Sample splitting and threshold estimation. Econometrica 68(3):575–603
Hasanov FJ, Liddle B, Mikayilov JI (2018) The impact of international trade on CO2 emissions in oil exporting countries: Territory vs consumption emissions accounting. Energy Economics 74:343–350
Hassine MB, Harrathi N (2017) The causal links between economic growth, renewable energy, financial development and foreign trade in gulf cooperation council countries. International Journal of Energy Economics and Policy 7(2):76–85
Hossain MS (2011) Panel estimation for CO2 emissions, energy consumption, economic growth, trade openness and urbanization of newly industrialized countries. Energy Policy 39(11):6991–6999
Işik C, Kasımatı E, Ongan S (2017) Analyzing the causalities between economic growth, financial development, international trade, tourism expenditure and/on the CO2 emissions in Greece. Energ Sourc B Econ Plann Policy 12(7):665–673
Jalil A, Feridun M (2011) The impact of growth, energy and financial development on the environment in China: a cointegration analysis. Energy Econ 33(2):284–291
Javid M, Sharif F (2016) Environmental Kuznets curve and financial development in Pakistan. Renew Sust Energ Rev 54:406–414
Jayanthakumaran K, Verma R, Liu Y (2012) CO2 emissions, energy consumption, trade and income: a comparative analysis of China and India. Energy Policy 42:450–460
Jiang Y, Khaskheli A, Raza SA, Qureshi MA, Ahmed M (2020) Threshold non-linear relationship between globalization, renewable energy consumption, and environmental degradation: evidence from smooth transition models. Environ Sci Pollut Res 1–17. https://doi.org/10.1007/s11356-020-11537-x
Kasman A, Duman YS (2015) CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: a panel data analysis. Econ Model 44:97–103
Katircioğlu ST, Taşpinar N (2017) Testing the moderating role of financial development in an environmental Kuznets curve: empirical evidence from Turkey. Renew Sust Energ Rev 68:572–586
Khan MI, Teng JZ, Khan MK (2020) The impact of macroeconomic and financial development on carbon dioxide emissions in Pakistan: evidence with a novel dynamic simulated ARDL approach. Environ Sci Pollut Res 27(31):39560–39571
Khoshnevis Yazdi S, Ghorchi Beygi E (2018) The dynamic impact of renewable energy consumption and financial development on CO2 emissions: for selected African countries. Energ Sourc B Econ Plann Policy 13(1):13–20
Lahiani A (2020) Is financial development good for the environment? An asymmetric analysis with CO2 emissions in China. Environ Sci Pollut Res 27(8):7901–7909
Le HP, Ozturk I (2020) The impacts of globalization, financial development, government expenditures, and institutional quality on CO2 emissions in the presence of environmental Kuznets curve. Environ Sci Pollut Res 1–18
Li T, Wang Y, Zhao D (2016) Environmental Kuznets curve in China: new evidence from dynamic panel analysis. Energy Policy 91:138–147
Mahalik MK, Babu MS, Loganathan N, Shahbaz M (2017) Does financial development intensify energy consumption in Saudi Arabia? Renew Sust Energ Rev 75:1022–1034
McNown R, Sam CY, Goh SK (2018) Bootstrapping the autoregressive distributed lag test for cointegration. Appl Econ 50(13):1509–1521
Millington R, Cox PM, Moore JR, Yvon-Durocher G (2019) Modelling ecosystem adaptation and dangerous rates of global warming. Emerg Top Life Sci 3(2):221–231
Mosikari TJ, Eita JH (2020) CO2 emissions, urban population, energy consumption and economic growth in selected African countries: a Panel Smooth Transition Regression (PSTR). OPEC Energy Review 44(3):319–333
Muhammad S, Long X, Salman M, Dauda L (2020) Effect of urbanization and international trade on CO2 emissions across 65 belt and road initiative countries. Energy 196:117102
Nasir M, Rehman FU (2011) Environmental Kuznets curve for carbon emissions in Pakistan: an empirical investigation. Energy Policy 39(3):1857–1864
Omoke PC, Opuala-Charles S, Nwani C (2020) Symmetric and asymmetric effects of financial development on carbon dioxide emissions in Nigeria: evidence from linear and nonlinear autoregressive distributed lag analyses. Energy Explor Exploit 0144598720939377
Omri A (2013) CO2 emissions, energy consumption and economic growth nexus in MENA countries: evidence from simultaneous equations models. Energy Econ 40:657–664
Ozturk I, Acaravci A (2013) The long-run and causal analysis of energy, growth, openness and financial development on carbon emissions in Turkey. Energy Econ 36:262–267
Ozturk I, Al-Mulali U (2015) Investigating the validity of the environmental Kuznets curve hypothesis in Cambodia. Ecol Indic 57:324–330
Pesaran HM (2004) General diagnostic tests for cross-sectional dependence in panels. University of Cambridge, Cambridge Working Papers in Economics 435
Raza SA, Shah N, Qureshi MA, Qaiser S, Ali R, Ahmed F (2020) Non-linear threshold effect of financial development on renewable energy consumption: evidence from panel smooth transition regression approach. Environ Sci Pollut Res Int 27:32034–32047
Samargandi N, Fidrmuc J, Ghosh S (2015) Is the relationship between financial development and economic growth monotonic? Evidence from a sample of middle-income countries. World Dev 68:66–81
Sethi P, Chakrabarti D, Bhattacharjee S (2020) Globalization, financial development and economic growth: perils on the environmental sustainability of an emerging economy. J Policy Model 42:520–535
Shahbaz M, Hye QMA, Tiwari AK, Leitão NC (2013a) Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia. Renew Sust Energ Rev 25:109–121
Shahbaz M, Solarin SA, Mahmood H, Arouri M (2013b) Does financial development reduce CO2 emissions in Malaysian economy? A time series analysis. Econ Model 35:145–152
Shahbaz M, Khraief N, Uddin GS, Ozturk I (2014a) Environmental Kuznets curve in an open economy: a bounds testing and causality analysis for Tunisia. Renew Sust Energ Rev 34:325–336
Shahbaz M, Uddin GS, Rehman IU, Imran K (2014b) Industrialization, electricity consumption and CO2 emissions in Bangladesh. Renew Sust Energ Rev 31:575–586
Shahbaz M, Van Hoang TH, Mahalik MK, Roubaud D (2017) Energy consumption, financial development and economic growth in India: new evidence from a nonlinear and asymmetric analysis. Energy Econ 63:199–212
Shahbaz M, Nasir MA, Roubaud D (2018) Environmental degradation in France: the effects of FDI, financial development, and energy innovations. Energy Econ 74:843–857
Shahbaz M, Haouas I, Van Hoang TH (2019) Economic growth and environmental degradation in Vietnam: is the environmental Kuznets curve a complete picture? Emerg Mark Rev 38:197–218
Tamazian A, Rao BB (2010) Do economic, financial and institutional developments matter for environmental degradation? Evidence from transitional economies. Energy Econ 32(1):137–145
Ulucak R, Koçak E, Erdoğan S, Kassouri Y (2020) Investigating the non-linear effects of globalization on material consumption in the EU countries: evidence from PSTR estimation. Res Policy 67:101667
Vale VA, Perobelli FS, Chimeli AB (2018) International trade, pollution, and economic structure: evidence on CO2 emissions for the north and the south. Econ Syst Res 30(1):1–17
Wang H, Ang BW (2018) Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach. Appl Energy 218:146–158
Zafar MW, Shahbaz M, Hou F, Sinha A (2019) From nonrenewable to renewable energy and its impact on economic growth: the role of research & development expenditures in Asia-Pacific Economic Cooperation countries. J Clean Prod 212:1166–1178
Zaidi SAH, Zafar MW, Shahbaz M, Hou F (2019) Dynamic linkages between globalization, financial development and carbon emissions: evidence from Asia Pacific economic cooperation countries. J Clean Prod 228:533–543
Zhao B, Yang W (2020) Does financial development influence CO2 emissions? A Chinese province-level study. Energy 117523
Ziaei SM (2015) Effects of financial development indicators on energy consumption and CO2 emission of European, East Asian and Oceania countries. Renew Sust Energ Rev 42:752–759
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Asadullah Khaskheli: conceptualization; writing, original draft; writing, review and editing; data curation
Yushi Jiang: conceptualization; writing, original draft; writing, review and editing; supervision
Syed Ali Raza: methodology; formal analysis; writing, original draft; writing, review and editing; methodology; software
Komal Akram Khan: writing, original draft; writing, review and editing; data curation Muhammad Asif Qureshi: writing, original draft; writing, review and editing; data curation
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Khaskheli, A., Jiang, Y., Raza, S.A. et al. Financial development, international trade, and environmental degradation: a nonlinear threshold model based on panel smooth transition regression. Environ Sci Pollut Res 28, 26449–26460 (2021). https://doi.org/10.1007/s11356-020-11912-8
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DOI: https://doi.org/10.1007/s11356-020-11912-8