Abstract
This paper explores the effects of finance on environmental degradation and investigates environmental Kuznets curve (EKC) of each country among 52 that participate in the One Belt and One Road Initiative (OBORI) using the latest long panel data span (1980–2016). We utilized panel long run econometric models (fully modified ordinary least square and dynamic ordinary least square) to explore the long-run estimates in full panel and country level. Moreover, the Dumitrescu and Hurlin (2012) causality test is applied to examine the short-run causalities among our considered variables. The empirical findings validate the EKC hypothesis; the long-run estimates point out that finance significantly enhances the environmental degradation (negatively in few cases). The short-run heterogeneous causality confirms the bi-directional causality between finance and environmental degradation. The empirical outcomes suggest that policymakers should consider the environmental degradation issue caused by financial development in the One Belt and One Road region.
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Abosedra S, Shahbaz M, Sbia R (2015) The links between energy consumption, financial development, and economic growth in Lebanon: evidence from cointegration with unknown structural breaks. J Energy 2015:1–15. https://doi.org/10.1155/2015/965825
Acaravci A, Ozturk I (2010) On the relationship between energy consumption, CO2 emissions and economic growth in Europe. Energy 35(12):5412–5420. https://doi.org/10.1016/j.energy.2010.07.009
Adu G, Marbuah G, Mensah JT (2013) Financial development and economic growth in Ghana: does the measure of financial development matter? Rev Dev Finance 3(4):192–203. https://doi.org/10.1016/j.rdf.2013.11.001
Al-Mulali U, Saboori B, Ozturk I (2015a) Investigating the environmental Kuznets curve hypothesis in Vietnam. Energy Policy 76:123–131. https://doi.org/10.1016/j.enpol.2014.11.019
Al-Mulali U, Solarin SA, Ozturk I (2015b) Investigating the presence of the environmental Kuznets curve (EKC) hypothesis in Kenya: an autoregressive distributed lag (ARDL) approach. Nat Hazards 80(3):1729–1747
Anatasia V (2015) The causal relationship between GDP, exports, energy consumption, and CO2 in Thailand and Malaysia. International. J Econ Perspect 9(4):37–48
Begum RA, Sohag K, Abdullah SMS, Jaafar M (2015) CO2emissions, energy consumption, economic and population growth in Malaysia. Renew Sust Energ Rev 41:594–601. https://doi.org/10.1016/j.rser.2014.07.205
Bekhet HA, Othman NS (2017) Impact of urbanization growth on Malaysia CO2 emissions: evidence from the dynamic relationship. J Clean Prod 154:374–388. https://doi.org/10.1016/j.jclepro.2017.03.174
Bilgili F, Koçak E, Bulut Ü (2016) The dynamic impact of renewable energy consumption on CO2emissions: a revisited Environmental Kuznets Curve approach. Renew Sust Energ Rev 54:838–845. https://doi.org/10.1016/j.rser.2015.10.080
Boon EM, Marletta MA (2006) Sensitive and selective detection of nitric oxide using an H-NOX domain. J Am Chem Soc 128(31):10022–10023. https://doi.org/10.1021/ja0632714
Borhan HB, Ahmed EM (2012) Simultaneous model of pollution and income in Malaysia. Int J Econ Perspect 6(1):50–73
Breitung J (2000) The local power of some unit root tests for panel data. Adv Econ 15:161–177. https://doi.org/10.1016/S0731-9053(00)15006-6
Brimblecombe P (1996) Air composition and chemistry. Cambridge University Press, Cambridge
Cetin M, Ecevit E (2017) The impact of financial development on carbon emissions under the structural breaks: empirical evidence from Turkish economy. Int J Econ Perspect 11(1):64–78
Clemente J, Montanes A, Reyes M (1998) Testing for a unit root in variables with a double change in the mean. Econ Lett 59(2):175–182
Dasgupta S, Laplante B, Mamingi N (2001) Pollution and capital markets in developing countries. J Environ Econ Manag 42(3):310–335. https://doi.org/10.1006/jeem.2000.1161
Dickey DA, Fuller WA (1979) Distribution of the estimators for autoregressive time series with a unit root. J Am Stat Assoc 74:427–431
Dietz T, Rosa EA (1997) Effects of population and affluence on CO2 emissions. Proc Natl Acad Sci 94(1):175–17
Dogan E (2016) Analyzing the linkage between renewable and nonrenewable energy consumption and economic growth by considering structural break in time-series data. Renew Energy 99:1126–1136. https://doi.org/10.1016/j.renene.2016.07.078
Dumitrescu EI, Hurlin C (2012) Testing for Granger non-causality in heterogeneous panels. Econ Model 29(4):1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014
Frankel J, Romer D (1999) Does trade cause growth? Am Econ Rev 89(3):379–399. https://doi.org/10.1257/aer.89.3.379
Friedl B, Getzner M (2003) Determinants of CO2emissions in a small open economy. Ecol Econ 45(1):133–148. https://doi.org/10.1016/S0921-8009(03)00008-9
Fung Business Intelligence Centre (2016) The Belt and Road Initiative: 65 Countries and Beyond Available from https://www.fbicgroup.com/?q=reports&page=4. Accessed May 2016
Galeotti M, Lanza A, Pauli F (2006) Reassessing the environmental Kuznets curve for CO2emissions: a robustness exercise. Ecol Econ 57(1):152–163. https://doi.org/10.1016/j.ecolecon.2005.03.031
Grossman GM, Krueger AB (1995) Economic growth, and the environment. Q J Econ 110(2):353–377. https://doi.org/10.2307/2118443
Hamdi H, Sbia R, Shahbaz M (2014) The nexus between electricity consumption and economic growth in Bahrain. Econ Model 38:227–237. https://doi.org/10.1016/j.econmod.2013.12.012
Islam F, Shahbaz M, Ahmed AU, Alam MM (2013) Financial development and energy consumption nexus in Malaysia: a multivariate time series analysis. Econ Model 30:435–441. https://doi.org/10.1016/j.econmod.2012.09.033
Istaiteyeh RMS (2016) Causality analysis between electricity consumption and real GDP: evidence from Jordan, international. J Econ Perspect 10(4):526–540
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. https://doi.org/10.1016/j.eneco.2010.10.003
Johansen S (1988) Statistical analysis of cointegration vectors. J Econ Dyn Control 12(2-3):231–254. https://doi.org/10.1016/0165-1889(88)90041-3
Kapusuzoglu A (2014) Causality relationships between carbon dioxide emissions and economic growth: results from a multi-country study. Int J Econ Perspect 8(2):5–15
Katircioglu ST, Taspinar N (2017) Testing the moderating role of financial development in an environmental Kuznets curve: empirical evidence from Turkey. Renew Sustain Energy Rev 68(1):572–586. https://doi.org/10.1016/j.rser.2016.09.127
Katircioglu ST, Fethi S, Kalmaz DB, Caglar D, Taspinar N (2014) Energy consumption, international trade, and real income in the USA: an empirical investigation using conditional error correction models. J Renew Sust Energy 6(6):063116. https://doi.org/10.1063/1.4904433
Katircioglu ST, Fethi S, Kalmaz DB, Caglar D (2016) Interactions between energy consumption, international trade, and real income in Canada: an empirical investigation from a new version of the Solow growth model. Int J Green Energy 13(10):1059–1074. https://doi.org/10.1080/15435075.2016.1175348
Khan MTI, Yaseen MR, Ali Q (2017) Dynamic relationship between financial development, energy consumption, trade and greenhouse gas: comparison of upper-middle-income countries from Asia, Europe, Africa and America. J Clean Prod
Kumar M, Babu MS, Loganathan N, and Shahbaz M (2016) Does financial development intensify energy consumption in Saudi Arabia?
Lau LS, Choong CK, Eng YK (2014) Investigation of the environmental Kuznets curve for carbon emissions in Malaysia: do foreign direct investment and trade matter? Energy Policy 68:490–497. https://doi.org/10.1016/j.enpol.2014.01.002
Levin A, Lin CF, Chu CSJ (2002) Unit root tests in panel data: asymptotic and finite-sample properties. J Econ 108(1):1–24. https://doi.org/10.1016/S0304-4076(01)00098-7
Maddala GS, Wu S (1999) A comparative study of unit root tests with panel data and a new simple test. Oxf Bull Econ Stat 61(s1):631–652. https://doi.org/10.1111/1468-0084.61.s1.13
Nasir M, Ur F (2011) Environmental Kuznets Curve for carbon emissions in Pakistan: an empirical investigation. Energy Policy 39(3):1857–1864. https://doi.org/10.1016/j.enpol.2011.01.025
Nassani AA, Aldakhil AM, Abro MMQ, Zaman K (2017) Environmental Kuznets curve among BRICS countries: spot lightening finance, transport, energy and growth factors. J Clean Prod 154:474–487. https://doi.org/10.1016/j.jclepro.2017.04.025
Ozatac N, Gokmenoglu KK, Taspinar N (2017) Environ Sci Pollut Res 24:16690. https://doi.org/10.1007/s11356-017-9317-6
Ozcan B, Ari A (2017) Nuclear energy-economic growth nexus in OECD countries: a panel data analysis. Int J Econ Perspect 11(1):138–154
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. https://doi.org/10.1016/j.eneco.2012.08.025
Ozturk I, Al-Mulali U (2015) Investigating the validity of the environmental Kuznets curve hypothesis in Cambodia. Ecol Indic 57:324–330. https://doi.org/10.1016/j.ecolind.2015.05.018
Paramati SR, Alam MS, Chen CF (2016a) The effects of tourism on economic growth and CO2 emissions: a comparison between developed and developing economies. J Travel Res 56(6):712–724
Pedroni P (1999) Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxf Bull Econ Stat 61(s1):653–670. https://doi.org/10.1111/1468-0084.61.s1.14
Pedroni P (2000) Fully modified OLS for heterogeneous cointegrated panels. In: Baltagi BH (ed) Nonstationary panels, panel cointegration and dynamic panels, 15. Elsevier, Amsterdam, pp 93–130. https://doi.org/10.1016/S0731-9053(00)15004-2
Pedroni P (2001) Purchasing power parity tests in cointegrated panels. Rev Econ Stat 83(4):727–731. https://doi.org/10.1162/003465301753237803
Pedroni P (2004) Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Economic Theory 20:597–625
Phillips P, Perron P (1988) Testing for a unit root in time series regressions. Biometrika 75(2):335–346. https://doi.org/10.1093/biomet/75.2.335
Robalino-López A, Mena-Nieto Á, García-Ramos J-E, Golpe AA (2015) Studying the relationship between economic growth, CO2emissions, and the environmental Kuznets curve in Venezuela (1980-2025). Renew Sust Energ Rev 41:602–614. https://doi.org/10.1016/j.rser.2014.08.081
Sadorsky P (2010) The impact of financial development on energy consumption in emerging economies. Energy Policy 38(5):2528–2535. https://doi.org/10.1016/j.enpol.2009.12.048
Saidi K, Mbarek MB (2017) The impact of income, trade, urbanization, and financial development on CO2 emissions in 19 emerging economies. Environ Sci Pollut Res 24(14):12748–12757. https://doi.org/10.1007/s11356-016-6303-3
Salman DM, Atya EM (2014) What is the role of financial development and energy consumption on economic growth? New evidence from North African countries. Int J Financ Bank Stud 3(1):137
Shahbaz M, Lean HH (2012) Does financial development increase energy consumption? The role of industrialization and urbanization in Tunisia. Energy policy 40:473–479. https://doi.org/10.1016/j.enpol.2011.10.050
Shahbaz M, Khan S, Tahir MI (2013) The dynamic links between energy consumption, economic growth, financial development and trade in China: fresh evidence from multivariate framework analysis. Energy Econ 40:8–21. https://doi.org/10.1016/j.eneco.2013.06.006
Shahbaz M, Loganathan N, Muzaffar AT, Ahmed K, Jabran MU (2016a) How urbanization affects CO2emissions in Malaysia? The application of STIRPAT model. Renew Sust Energ Rev 57:83–93. https://doi.org/10.1016/j.rser.2015.12.096
Shahbaz M, Shahzad SJH, Ahmad N, Alam S (2016b) Financial development and environmental quality: the way forward. Energy Policy 98:353–364. https://doi.org/10.1016/j.enpol.2016.09.002
Tang CF, Tan BW (2014) The linkages among energy consumption, economic growth, relative price, foreign direct investment, and financial development in Malaysia. Qual Quant 48(2):781–797
Vaona A (2012) Granger non-causality tests between non-renewable energy consumption and output in Italy since 1861: the irrelevance of structural breaks. Energy Policy 45:226–236. https://doi.org/10.1016/j.enpol.2012.02.023
Wang S, Li Q, Fang C, Zhou C (2016) The relationship between economic growth, energy consumption, and CO2emissions: empirical evidence from China. Sci Total Environ 542(Pt A):360–371. https://doi.org/10.1016/j.scitotenv.2015.10.027
Watkins WM, Mosobo M (1993) Treatment of Plasmodium falciparum malaria with pyrimethamine-sulfadoxine: selective pressure for resistance is a function of long elimination half-life. Trans R Soc Trop Med Hyg 87(1):75–78. https://doi.org/10.1016/0035-9203(93)90431-O
World Bank (2016) World development indicator. Available from: http://data.worldbank.org/
Yang G, Sun T, Wang J, Li X (2015) Modeling the nexus between carbon dioxide emissions and economic growth. Energy Policy 86:104–117. https://doi.org/10.1016/j.enpol.2015.06.031
Zeren F, Koc M (2013) The nexus between energy consumption and financial development with asymmetric causality test: new evidence from newly industrialized countries. Int J Energy Econ Policy 4(1):83–91
Zhang YJ (2011) The impact of financial development on carbon emissions: an empirical analysis in China. Energy Policy 39(4):2197–2203. https://doi.org/10.1016/j.enpol.2011.02.026
Zhang S, Liu X, Bae J (2017) Environ Sci Pollut Res 24:17616. https://doi.org/10.1007/s11356-017-9392-8
Zivot E, Andrews DWK (2002) Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. J Bus Econ Stat 20(1):25–44. https://doi.org/10.1198/073500102753410372
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Hafeez, M., Chunhui, Y., Strohmaier, D. et al. Does finance affect environmental degradation: evidence from One Belt and One Road Initiative region?. Environ Sci Pollut Res 25, 9579–9592 (2018). https://doi.org/10.1007/s11356-018-1317-7
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DOI: https://doi.org/10.1007/s11356-018-1317-7