Abstract
This study aims to examine the impact of economic growth, financial openness, trade openness, and energy intensity on the ecological footprint of BRICS countries for the period 1996–2016 in the framework of the environmental Kuznets curve (EKC). In the research phases, the effects of financial openness and trade openness on ecological footprint were examined both individually and as a whole using three models. The results indicate that the EKC hypothesis is not valid in all BRICS countries. Specifically, the individual results demonstrate that the EKC model using financial openness is valid only for India, while the EKC model using trade openness is valid both for India and South Africa. Furthermore, financial openness has reduced environmental pollution in India and South Africa. Trade openness has reduced environmental pollution in China and India, while it has increased in South Africa. Lastly, energy intensity has increased environmental pollution in all countries except Russia for both models. Overall, policy-makers should develop policies to reduce energy intensity in BRICS countries.
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Abdouli M, Kamoun O, Hamdi B (2018) The impact of economic growth, population density, and FDI inflows on CO2 emissions in BRICST countries: Does the Kuznets curve exist?. Empirical Economics, 54(4):1717–1742
Ahmad N, Du L, Lu J, Wang J, Li HZ, Hashmi MZ (2017) Modelling the CO2 emissions and economic growth in Croatia: is there any environmental Kuznets curve? Energy 123:164–172
Ahmed K (2017) Revisiting the role of financial development for energy-growth-trade nexus in BRICS economies. Energy 128:487–495
Ahmed K, Long W (2013) An empirical analysis of CO2 emission in Pakistan using EKC hypothesis. J Int Trade Law Policy 12(2):188–200
Ahmed Z, Wang Z (2019) Investigating the impact of human capital on the ecological footprint in India: an empirical analysis. Environ Sci Pollut Res 26(26):26782–26796
Alam MM, Murad MW, Noman AHM, Ozturk I (2016) Relationships among carbon emissions, economic growth, energy consumption and population growth: testing environmental Kuznets curve hypothesis for Brazil, China, India and Indonesia. Ecol Indic 70:477–479
Al-Mulali U, Weng-Wai C, Sheau-Ting L, Mohammed AH (2015) Investigating the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an indicator of environmental degradation. Ecol Indic 48:315–323
Aung TS, Saboori B, Rasoulinezhad E (2017) Economic growth and environmental pollution in Myanmar: an analysis of environmental Kuznets curve. Environ Sci Pollut Res 24(25):20487–20501
Baek J, Kim HS (2013) Is economic growth good or bad for the environment? Empirical evidence from Korea. Energy Econ 36:744–749
Bass A, Burakov D, Freidin M (2019) Does financial development matter for environmental Kuznets curve in Russia? Evidence from the Autoregressive Distributed Lag Bounds Test Approach. Int J Energy Econ Policy 9(4):334–341
Bölük G, Mert M (2015) The renewable energy, growth and environmental Kuznets curve in Turkey: an ARDL approach. Renew Sust Energ Rev 52:587–595
Borucke M, Moore D, Cranston G, Gracey K, Iha K, Larson J, Lazarus E, Morales JC, Wackernagel M, Galli A (2013) Accounting for demand and supply of the biosphere's regenerative capacity: the National Footprint Accounts’ underlying methodology and framework. Ecol Indic 24:518–533
Breusch TS, Pagan AR (1980) The Lagrange multiplier test and its applications to model specification in econometrics. Rev Econ Stud 47(1):239–253
BRICS **amen (n.d.) http://www.brics.utoronto.ca/docs/170904-xiamen.html. Accessed 12 4 2020
Cetin M, Ecevit E, Yucel AG (2018) The impact of economic growth, energy consumption, trade openness, and financial development on carbon emissions: empirical evidence from Turkey. Environ Sci Pollut Res 25(36):36589–36603
Chakravarty D, Mandal SK (2016) Estimating the relationship between economic growth and environmental quality for the BRICS economies-a dynamic panel data approach. The Journal of Develo** Areas 50(5):119–130
Chinn MD, Ito H (2006) What Matters for Financial Development? Capital Controls, Institutions, and Interactions. Journal of Development Economics 81(1):163–192
Cole MA (2004) Trade, the pollution haven hypothesis and the environmental Kuznets curve: examining the linkages. Ecol Econ 48(1):71–81
Danish R, Ulucak, Khan S (2020) Determinants of the ecological footprint: role of renewable energy, natural resources, and urbanization. Sustain Cities Soc 54:101996
Dasgupta S, Laplante B, Wang H, Wheeler D (2002) Confronting the environmental Kuznets curve. J Econ Perspect 16(1):147–168
Dávalos J (2016) Sustainable economic growth: an empirical study for the Asia-Pacific economic cooperation forum. Int J Energy Econ Policy 6(3):594–601
DECLARATION, BRICS Leaders **amen. **amen (China), September 4, 2017.
Destek MA, Sarkodie SA (2019) Investigation of environmental Kuznets curve for ecological footprint: the role of energy and financial development. Sci Total Environ 650:2483–2489
Destek MA, Sinha A (2020) Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: evidence from organisation for economic co-operation and development countries. J Clean Prod 242:118537
Dinda S (2004) Environmental Kuznets curve hypothesis: a survey. Ecol Econ 49(4):431–455
Dogan E, Taspinar N, Gokmenoglu KK (2019) Determinants of ecological footprint in MINT countries. Energy Environ 30(6):1065–1086
Eberhardt M, Teal F (2010) Productivity analysis in global manufacturing production, Economics Series Working Papers, 515, University of Oxford, Department of Economics
Fakher HA (2019) Investigating the determinant factors of environmental quality (based on ecological carbon footprint index). Environ Sci Pollut Res 26(10):10276–10291
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
Ghosh S (2010) Examining carbon emissions economic growth nexus for India: a multivariate cointegration approach. Energy Policy 38(6):3008–3014
Global outlook (2019) http://pubdocs.worldbank.org/en/308981560187921635/211398-Ch01.pdf GLOBAL OUTLOOK JUNE 2019. Accessed 12 4 2020
Gormus S, Aydin M (2020) Revisiting the environmental Kuznets curve hypothesis using innovation: new evidence from the top 10 innovative economies. Environ Sci Pollut Res 27:27904–27913
Gorus MS, Aydin M (2019) The relationship between energy consumption, economic growth, and CO2 emission in MENA countries: causality analysis in the frequency domain. Energy 168:815–822
Government of India (2016), Ministry of Finance Economic Survey 2015-2016 Volume II https://www.indiabudget.gov.in/budget2016-2017/es2015-16/echapvol2-08.pdf. Accessed 12 4 2020
Grossman GM, Krueger AB (1991) Environmental impacts of a North American free trade agreement (No. w3914). Nat Bureau Econ Res. https://doi.org/10.3386/w3914
Gulistan A, Tariq YB, Bashir MF (2020) Dynamic relationship among economic growth, energy, trade openness, tourism, and environmental degradation: fresh global evidence. Environ Sci Pollut 27:13477–13487. https://doi.org/10.1007/s11356-020-07875-5
Hanif I (2018) Impact of economic growth, nonrenewable and renewable energy consumption, and urbanization on carbon emissions in Sub-Saharan Africa. Environ Sci Pollut Res 25(15):15057–15067
Haseeb A, **a E, Baloch MA, Abbas K (2018) Financial development, globalization, and CO 2 emission in the presence of EKC: evidence from BRICS countries. Environ Sci Pollut Res 25(31):31283–31296
Hervieux MS, Darné O (2015) Environmental Kuznets curve and ecological footprint: a time series analysis. Econ Bull 35(1):814–826
Jalil A, Feridun M (2011) The impact of growth, energy and financial development on the environment in China: a cointegration analysis. Energy Economics 33(2):284–291
Javid M, Sharif F (2016) Environmental Kuznets curve and financial development in Pakistan. Renew Sust Energ Rev 54:406–414
Kang YQ, Zhao T, Yang YY (2016) Environmental Kuznets curve for CO2 emissions in China: a spatial panel data approach. Ecol Indic 63:231–239
Khattak SI, Ahmad M, Khan ZU, Khan A (2020) Exploring the impact of innovation, renewable energy consumption, and income on CO2 emissions: new evidence from the BRICS economies. Environ Sci Pollut Res 27:13866–13881. https://doi.org/10.1007/s11356-020-07876-4
Koengkan M, Fuinhas JA, Marques AC (2018) Does financial openness increase environmental degradation? Fresh evidence from MERCOSUR countries. Environ Sci Pollut Res 25(30):30508–30516
Law SH (2009) Trade openness, capital flows and financial development in develo** economies. Int Econ J 23(3):409–426
Lin B, Omoju OE, Nwakeze NM, Okonkwo JU, Megbowon ET (2016) Is the environmental Kuznets curve hypothesis a sound basis for environmental policy in Africa? J Clean Prod 133:712–724
Liu Y et al (2017) Assessment of impacts of Hubei Pilot emission trading schemes in China—a CGE-analysis using TermCO2 model. Appl Energy 189:762e769
Mohammed ASM, Guo P, Haq IU, Pan G, Khan A (2019) Do government expenditure and financial development impede environmental degradation in Venezuela? Plos One 14(1):1–13
Moosa IA (2017) The econometrics of the environmental Kuznets curve: an illustration using Australian CO2 emissions. Appl Econ 49(49):4927–4945
Mrabet Z, Alsamara M (2017) Testing the Kuznets curve hypothesis for Qatar: a comparison between carbon dioxide and ecological footprint. Renew Sust Energ Rev 70:1366–1375
New Development Bank (2018) Develo** solutions for a sustainable future annual report 2017. https://www.ndb.int/wpcontent/uploads/2018/07/NDB_AR2017.pdf. Accessed 12 4 2020
OECD (2011), OECD GREEN GROWTH STUDIES available at: https://www.oecd.org/greengrowth/greening-energy/49157219.pdf
Ozcan B, Apergis N, Shahbaz M (2018) A revisit of the environmental Kuznets curve hypothesis for Turkey: new evidence from bootstrap rolling window causality. Environ Sci Pollut Res 25(32):32381–32394
Özokcu S, Özdemir Ö (2017) Economic growth, energy, and environmental Kuznets curve. Renew Sust Energ Rev 72:639–647
Ozturk I (2015) Sustainability in the food-energy-water nexus: evidence from BRICS (Brazil, the Russian Federation, India, China, and South Africa) countries. Energy 93:999–1010
Pata UK, Aydin M (2020) Testing the EKC hypothesis for the top six hydropower energy-consuming countries: evidence from Fourier Bootstrap ARDL procedure. J. Clean. Prod 264, 121699
Pesaran MH (2004) General diagnostic tests for cross section dependence in panels. CESifo Working Paper Series No. 1229; IZA Discussion Paper No. 1240
Pesaran MH (2006) Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica 74(4):967–1012
Pesaran MH (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Econ 22(2):265–312
Pesaran MH, Yamagata T (2008) Testing slope homogeneity in large panels. J Econ 142(1):50–93
Rafique MZ, Li Y, Larik AR, Monaheng MP (2020) The effects of FDI, technological innovation, and financial development on CO2 emissions: evidence from the BRICS countries. Environ Sci Pollut Res Int 27:23899–23913
Rahman HU, Ghazali A, Bhatti GA, Khan SU (2020) Role of economic growth, financial development, trade, energy and FDI in environmental Kuznets curve for Lithuania: evidence from ARDL Bounds Testing Approach. Eng Econ 31(1):39–49
Rasoulinezhad E, Saboori B (2018) Panel estimation for renewable and non-renewable energy consumption, economic growth, CO 2 emissions, the composite trade intensity, and financial openness of the commonwealth of independent states. Environ Sci Pollut Res 25(18):17354–17370
Raza SA, Shah N, Khan KA (2020) Residential energy environmental Kuznets curve in emerging economies: the role of economic growth, renewable energy consumption, and financial development. Environ Sci Pollut Res 27(5):5620–5629
Saidi K, Rahman MM, Amamri M (2017) The causal nexus between economic growth and energy consumption: new evidence from global panel of 53 countries. Sustain Cities Soc 33:45–56
Sarkodie SA, Ozturk I (2020) Investigating the environmental Kuznets curve hypothesis in Kenya: a multivariate analysis. Renew Sust Energ Rev 117:109481
Seetanah B, Sannassee RV, Fauzel S, Soobaruth Y, Giudici G, Nguyen APH (2019) Impact of economic and financial development on environmental degradation: evidence from small island develo** states (SIDS). Emerg Mark Financ Trade 55(2):308–322
Shafiei S, Salim RA (2014) Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: a comparative analysis. Energy Policy 66:547–556
Shahbaz M, Solarin SA, Sbia R, Bibi S (2015) Does energy intensity contribute to CO2 emissions? A trivariate analysis in selected African countries. Ecol Indic 50:215–224
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
Swamy PA (1970) Efficient inference in a random coefficient regression model. Econometrica 38(2):311–323
Tamazian A, Chousa JP, Vadlamannati KC (2009) Does higher economic and financial development lead to environmental degradation: evidence from BRIC countries. Energy Policy 37(1):246–253
Ulucak R, Khan SUD (2020) Determinants of the ecological footprint: role of renewable energy, natural resources, and urbanization. Sustain Cities Soc 54:101996
Ummalla M, Goyari P (2020) The impact of clean energy consumption on economic growth and CO2 emissions in BRICS countries: does the environmental Kuznets curve exist? J Public Aff. https://doi.org/10.1002/pa.2126
UNFCC (2015). United Nations Framework Convention on Climate Change, October 2015.
Wang Y, Kang L, Wu X, **ao Y (2013) Estimating the environmental Kuznets curve for ecological footprint at the global level: a spatial econometric approach. Ecol Indic 34:15–21
Wang Z, Bui Q, Zhang B (2020) The relationship between biomass energy consumption and human development: empirical evidence from BRICS countries. Energy 194, 116906
Westerlund J (2008) Panel cointegration tests of the Fisher effect. J Appl Econom 23(2):193–233
World Wildlife Fund (2018) Living planet report: 2018 aiming higher. https://d2hawiim0tjbd8.cloudfront.net/downloads/lpr__2018_full_report.pdf. Accessed 12 4 2020
Yasin I, Ahmad N, Chaudhary MA (2020) Catechizing the environmental-impression of urbanization, financial development, and political institutions: a circumstance of ecological footprints in 110 developed and less-developed countries. Soc Indic Res 147(2):621–649
Yilanci V, Gorus MS, Aydin M (2019) Are shocks to ecological footprint in OECD countries permanent or temporary? J Clean Prod 212:270–301
You WH, Zhu HM, Yu K, Peng C (2015) Democracy, financial openness, and global carbon dioxide emissions: heterogeneity across existing emission levels. World Dev 66:189–207
Zafar MW, Mirza FM, Zaidi SAH, Hou F (2019) The nexus of renewable and nonrenewable energy consumption, trade openness, and CO 2 emissions in the framework of EKC: evidence from emerging economies. Environ Sci Pollut Res 26(15):15162–15173
Zhang JW, Baloch MA, Mahmood N (2019) Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries. Sci Total Environ 678:632–638
Zhenhua XIE (2020) China’s historical evolution of environmental protection along with the forty years’ reform and opening-up moving from the control of three wastes to the construction of ecological civilization. Environ Sci Ecotechno 1, 100001. https://doi.org/10.1016/j.ese.2019.100001
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Aydin, M., Turan, Y.E. The influence of financial openness, trade openness, and energy intensity on ecological footprint: revisiting the environmental Kuznets curve hypothesis for BRICS countries. Environ Sci Pollut Res 27, 43233–43245 (2020). https://doi.org/10.1007/s11356-020-10238-9
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DOI: https://doi.org/10.1007/s11356-020-10238-9