Abstract
This paper examines the causal relationship between economic growth and environmental degradation for 115 countries over the period 1990–2016. The empirical results show a long-run equilibrium relationship between the CO2, CH4 and PM2.5 emissions and their macroeconomic determinants economic growth, energy consumption, trade openness, urbanization, and transportation. The author found mixed support of the Environmental Kuznets Curve (EKC) hypothesis, confirming the U-shaped EKC for all the income countries in CO2 and an inverted U-shaped EKC both in CH4 and PM2.5 emissions for the low, lower-middle and high-income countries. In the subsequent Granger causality test, the author revealed that energy consumption and economic growth raise the level of CO2, the most significant pollutant because of their positive causal effect. Moreover, the impulse response function forecasts an inverted U-shaped EKC mostly for selected pollutants in all countries. Results suggest that promoting energy efficiency and reducing the use of fossil fuels are effective measures for reversing environmental degradation in the country.
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Notes
Turning point in CH4 emissions for lower-middle income countries is 8.3520 (logarithms) or 4238.65 US dollars and high-income countries is 10.9769 (logarithms) or 58,506.90 US dollars.
Turning point in PM2.5 emissions for low income countries is 6.7445 (logarithms) or 849.37 US dollars and lower-middle income countries is 10.580 (logarithms) or 39340.11 US dollars.
References
Alkhathlan K, Alam M, Javid M (2012) Carbon dioxide emissions, energy consumption and economic growth in Saudi Arabia: a multivariate cointegration analysis. Br J Econ Manage Trade 2:327–339
Angelis EM, Di Giacomo M, Vannoni D (2019) Climate change and economic growth: the role of environmental policy stringency. Sustainability 11:2273
Aung TS, Saboori B, Rasoulinezhad E (2017) Economic growth and environmental pollution in Myanmar: an analysis of environmental Kuznets curve. Environ Sci Pollut Res 24:20487–20501
Azam M (2016) Does environmental degradation shackle economic growth? A panel data investigation on 11 Asian countries. Renew Sustain Energy Rev 65:175–182. https://doi.org/10.1016/j.rser.2016.06.087
Balibey M (2015) Relationships among CO2 emissions, economic growth and foreign direct investment and the EKC hypothesis in Turkey. Int J Energy Econ Policy 5:4
Baltagi B (2008) Econometric analysis of panel data. Wiley, Hoboken
Baltagi BH, Hashem Pesaran M (2007) Heterogeneity and cross section dependence in panel data models: theory and applications introduction. J Appl Econ 22:229–232. https://doi.org/10.1002/jae.955
Begum RA, Sohag K, Abdullah SMS, Jaafar M (2015) CO2 emissions, energy consumption, economic and population growth in Malaysia. Renew Sustain Energy Rev 41:594–601
Bekhet HA, Matar A, Yasmin T (2017) CO2 emissions, energy consumption, economic growth, and financial development in GCC countries: dynamic simultaneous equation models. Renew Sustain Energy Rev 70:117–132
Benavides M, Ovalle K, Torres C, Vinces T (2017) economic growth, renewable energy and methane emissions: is there an Enviromental Kuznets curve in Austria? Int J Energy Econ Policy 7:259–267
Breitung J (2001) The local power of some unit root tests for panel data. In: Baltagi B (ed) Nonstationary panels, panel cointegration, and dynamic panels. Emerald Group Publishing Limited, Bingley, pp 161–177
Cheng Z, Li L, Liu J (2017) Identifying the spatial effects and driving factors of urban PM2.5 pollution in China. Ecol Indic 82:61–75
Cho C-H, Chu Y-P, Yang H-Y (2014) An environment Kuznets curve for GHG emissions: a panel cointegration analysis. Energy Sources Part B 9:120–129
Churchill SA, Inekwe J, Smyth R, Zhang X (2019) R&D intensity and carbon emissions in the G7: 1870–2014. Energy Econ 80:30–37
Cruz JLS, Granda LES, Viteri MLP (2018) Methane emissions, economic growth and agriculture: evidence of environmental kuznets curve for Argentina. INNOVA Res J 3:157–171
De Hoyos RE, Sarafidis V (2006) Testing for cross-sectional dependence in panel-data models. Stata J 6:482
Destek MA, Balli E, Manga M (2016) The relationship between CO2 emission, energy consumption, urbanization and trade openness for selected. CEECs Res World Econ 7:52
Dinda S (2004) Environmental Kuznets curve hypothesis: a survey. Ecol Econ 49:431–455
Dogan E, Turkekul B (2016) CO2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environ Sci Pollut Res Int 23:1203–1213. https://doi.org/10.1007/s11356-015-5323-8
EASAC (2018) Negative emissions technologies: What role in meeting Paris Agreement target? European Academies Science Advisory Council www.easaceu
EPA (2017) Sources of Greenhouse Gas Emission. Overview of Greenhouse Gases, United States Environmental Protection Agency (EPA)
Farhani S, Ben Rejeb J (2012) Energy consumption, economic growth and CO2 emissions: Evidence from panel data for MENA region
Fodha M, Zaghdoud O (2010) Economic growth and pollutant emissions in Tunisia: an empirical analysis of the environmental Kuznets curve. Energy Policy 38:1150–1156
Frees EW (1995) Assessing cross-sectional correlation in panel data. J Econ 69:393–414
Friedman M (1937) The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J Am Stat Assoc 32:675–701
Ghosh BC, Alam KJ, Osmani MAG (2014) Economic growth, CO2 emissions and energy consumption: the case of Bangladesh. Int J Bus Econ Res 3:220–227
Grossman GM, Krueger AB (1991) Environmental impacts of a North American free trade agreement. National Bureau of Economic Research,
Hammitt J, Robinson L (2009) Sub-Saharan Africa Refinery Study
Hao Y, Liu Y-M (2016) The influential factors of urban PM2. 5 concentrations in China: a spatial econometric analysis. J Clean Prod 112:1443–1453
Harbaugh WT, Levinson A, Wilson DM (2002) Reexamining the empirical evidence for an environmental Kuznets curve. Rev Econ Stat 84:541–551
Harris RD, Tzavalis E (1999) Inference for unit roots in dynamic panels where the time dimension is fixed. J Econ 91:201–226
Hishan SS, Khan A, Ahmad J, Hassan ZB, Zaman K, Qureshi MI (2019) Access to clean technologies, energy, finance, and food: environmental sustainability agenda and its implications on Sub-Saharan African countries. Environ Sci Pollut Res 26:16503–16518
Hossain S (2012) An econometric analysis for CO2 emissions, energy consumption, economic growth, foreign trade and urbanization of Japan. Low Carbon Econ 3
Hu D, Jiang J (2013) A study of smog issues and PM2.5 pollutant control strategies in China. J Environ Prot 4:746
Huang Z, Ding X, Sun H, Liu S (2010) Identification of main influencing factors of life cycle CO2 emissions from the integrated steelworks using sensitivity analysis. J Clean Prod 18:1052–1058
IEA (2017) Southeast Asia Energy Outlook 2017. World Energy Outlook Special Report, International Energy Agency, www.iea.org
Im KS, Pesaran MH, Shin Y (2003) Testing for unit roots in heterogeneous panels. J Econ 115:53–74
Jamel L, Derbali A (2016) Do energy consumption and economic growth lead to environmental degradation? Evidence from Asian economies. Cogent Econ Finance 4:1170653
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. https://doi.org/10.1016/j.enpol.2011.12.010
Ji X, Yao Y, Long X (2018) What causes PM2.5 pollution? Cross-economy empirical analysis from socioeconomic perspective. Energy Policy 119:458–472
Jovanović M, Kašćelan L, Despotović A, Kašćelan V (2015) The impact of agro-economic factors on GHG emissions: evidence from European developing and advanced economies. Sustainability 7:16290–16310
Karakurt I, Aydin G, Aydiner K (2012) Sources and mitigation of methane emissions by sectors: a critical review. Renew Energy 39:40–48
Keho Y (2015) An econometric study of the long-run determinants of CO2 emissions in cote d’ivoire. J Finance Econ 3:11–21
Kumazawa R (2012) The effect of organic farms on global greenhouse gas emissions Greenhouse Gases–Emission, Measurement and Management, Dr Guoxiang Liu (Ed) pp 127–146
Lau LC, Tan KT, Lee KT, Mohamed AR (2009) A comparative study on the energy policies in Japan and Malaysia in fulfilling their nations’ obligations towards the Kyoto Protocol. Energy Policy 37:4771–4778
Lesschen J, Van den Berg M, Westhoek H, Witzke H, Oenema O (2011) Greenhouse gas emission profiles of European livestock sectors. Anim Feed Sci Technol 166:16–28
Levin A, Lin C-F, Chu C-SJ (2002) Unit root tests in panel data: asymptotic and finite-sample properties. J Econ 108:1–24
Li S, Zhang J, Ma Y (2015) Financial development. Environ Q Econ Growth Sustain 7:9395–9416. https://doi.org/10.3390/su7079395
Li G, Fang C, Wang S, Sun S (2016) The effect of economic growth, urbanization, and industrialization on fine particulate matter (PM2. 5) concentrations in China. Environ Sci Technol 50:11452–11459
Linh DH, Lin S-M (2015) Dynamic causal relationships among CO2 emissions, energy consumption, economic growth and FDI in the most populous Asian Countries. Adv Manage Appl Econ 5:69
Ma Y-R, Ji Q, Fan Y (2016) Spatial linkage analysis of the impact of regional economic activities on PM2.5 pollution in China. J Cleaner Prod 139:1157–1167
Maddala GS, Wu S (1999) A comparative study of unit root tests with panel data and a new simple test. Oxford Bull Econ Stat 61:631–652
Marchese AJ et al (2015) Methane emissions from United States natural gas gathering and processing. Environ Sci Technol 49:10718–10727
Mardani A, Streimikiene D, Cavallaro F, Loganathan N, Khoshnoudi M (2018a) Carbon dioxide (CO2) emissions and economic growth: A systematic review of two decades of research from 1995 to 2017 Science of the total environment
Mardani A, Streimikiene D, Nilashi M, Arias Aranda D, Loganathan N, Jusoh A (2018b) Energy consumption, economic growth, and CO2 emissions in G20 countries: application of adaptive neuro-fuzzy inference system. Energies 11:2771
Martínez-Zarzoso I, Oueslati W (2018) Do deep and comprehensive regional trade agreements help in reducing air pollution? Int Environ Agreements 18:743–777
Mohapatra A, Giri AK (2015) Energy consumption, economic growth and CO2 emissions: Empirical evidence from India. Emp Econ Quant Econ Lett 17:32
Mohiuddin O, Asumadu-Sarkodie S, Obaidullah M (2016) The relationship between carbon dioxide emissions, energy consumption, and GDP: a recent evidence from Pakistan. Cogent Eng 3:1210491
Narayan PK, Smyth R (2007) Are shocks to energy consumption permanent or temporary? Evidence from 182 countries. Energy Policy 35:333–341
Olivier JG, Peters JA, Janssens-Maenhout G (2012) Trends in global CO2 emissions 2012 report
Omri A (2013) CO2 emissions, energy consumption and economic growth nexus in MENA countries: evidence from simultaneous equations. Energy Econ 40:657–664
Ouyang X, Shao Q, Zhu X, He Q, Xiang C, Wei G (2019) Environmental regulation, economic growth and air pollution: panel threshold analysis for OECD countries. Sci Total Environ 657:234–241
Pachauri RK et al (2014) Climate change 2014: synthesis report. Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change. IPCC
Parry M, Canziani O, Palutikof J, Linden PJ, Hanson CE (2007) Climate change 2007: impacts, adaptation and vulnerability vol 4. Cambridge University Press, Cambridge
Pedroni P (1999) Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxf Bull Econ Stat 61:653–670
Pedroni P (2004) Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP. Econ Theory 20:597–625
Pesaran MH (2004) General diagnostic tests for cross section dependence in panels
Pesaran MH (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Econ 22:265–312
Rabbi F, Akbar D, Kabir SZ (2015) Environment Kuznets curve for carbon emissions: A cointegration analysis for Bangladesh. Int J Energy Econ Policy 5
Rehman MU, Rashid M (2017) Energy consumption to environmental degradation, the growth appetite in SAARC nations. Renew Energy 111:284–294
Rosado-Anastacio JA (2018) The environmental Kuznets curve hypothesis for CH4 emissions: evidence from ardl bounds testing approach in Argentina Latin American. J Manage Sustain Dev 4:1–23
Saboori B, Sulaiman J (2013) Environmental degradation, economic growth and energy consumption: Evidence of the environmental Kuznets curve in Malaysia. Energy Policy 60:892–905. https://doi.org/10.1016/j.enpol.2013.05.099
Saleem RJ (2019) The impact of human capital and biocapacity on environment: environmental quality measure through ecological footprint and greenhouse gases. J Pollut Effects Control 7(2):237
Salim R, Rafiq S, Shafiei S (2017) Urbanization, energy consumption, and pollutant emission in Asian developing economies: an empirical analysis
Samdal K, Ringdal H (2019) Money and the air: the impact of income, preferences, and regulation on particulate matter pollution
Sanderson W, Striessnig E, Schöpp W, Amann M (2013) Effects on well-being of investing in cleaner air in India. Environ Sci Technol 47:13222–13229
Sapoundjiev H, Aube F, Trottier R (2009) Eimination of dilute methane emissions from underground mine and oil and natural gas production sectors
Sarkar MSK, Sadeka S, Sikdar MMH, Zaman B (2015) Energy consumption and CO2 emission in Bangladesh: trends and policy implications Asia Pacific. J Energy Environ 2:175–182
Sarker T, Corradetti R, Zahan M (2012) Energy sources and carbon emissions in the iron and steel industry sector in South Asia International. J Energy Econ Policy 3:30–42
Scheffran J, Brzoska M, Brauch HG, Link PM, Schilling J (2012) Climate change, human security and violent conflict: challenges for societal stability. Springer, New York
Sehrawat M, Giri A, Mohapatra G (2015) The impact of financial development, economic growth and energy consumption on environmental degradation: evidence from India. Manage Environ Q 26:666–682
Selden TM, Song D (1994) Environmental quality and development: is there a Kuznets curve for air pollution emissions? J Environ Econ Manage 27:147–162
Shafik N, Bandyopadhyay S (1992) Economic growth and environmental quality: time-series and cross-country evidence. World Bank Publications, Geneva
Shahbaz M, Sinha A (2018) Environmental Kuznets curve for CO2 emission: a literature survey
Shahbaz M, Nasreen S, Ahmed K, Hammoudeh S (2017) Trade openness–carbon emissions nexus: the importance of turning points of trade openness for country panels. Energy Econ 61:221–232
Sims CA, Goldfeld SM, Sachs JD (1982) Policy analysis with econometric models. Brook Papers Econ Activity 1982:107–164
Singh N, Murari V, Kumar M, Barman S, Banerjee T (2017) Fine particulates over South Asia: review and meta-analysis of PM2. 5 source apportionment through receptor model. Environ Pollut 223:121–136
Sterpu M, Soava G, Mehedintu A (2018) Impact of economic growth and energy consumption on greenhouse gas emissions: testing environmental curves hypotheses on EU countries. Sustainability 10:3327
USAID (2006) Issues in poverty reduction and natural resource management. Natural Resources Information Clearinghouse (NRIC), an operation of Chemonics International
Wang J, Ogawa S (2015) Effects of meteorological conditions on PM2.5 concentrations in Nagasaki. Jpn Int J Environ Res Public Health 12:9089–9101
Wang S, Li G, Fang C (2017) Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels. Renew Sustain Energy Rev
Westerlund J (2007) Testing for error correction in panel data. Oxford Bull Econ Stat 69:709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
Westerlund J, Edgerton DL (2007) A panel bootstrap cointegration test. Econ Lett 97:185–190. https://doi.org/10.1016/j.econlet.2007.03.003
WHO (2016) Public health, environmental and social determinants of health. World Health Organization (WHO) global urban air pollution database. http://www.who.int/phe/health_topics/outdoorair/databases/cities/en/
Xa Lou, Nair J (2009) The impact of landfilling and composting on greenhouse gas emissions–a review. Bioresour Technol 100:3792–3798
Xu B, Lin B (2016) Regional differences of pollution emissions in China: contributing factors and mitigation strategies. J Cleaner Prod 112:1454–1463
Yang D, Ye C, Wang X, Lu D, Xu J, Yang H (2018) Global distribution and evolvement of urbanization and PM2.5 (1998–2015). Atmos Environ 182:171–178
York R (2007) Demographic trends and energy consumption in European Union Nations, 1960–2025. Soc Sci Res 36:855–872
Zhu C, Gao D (2019) A research on the factors influencing carbon emission of transportation industry in “the belt and road initiative” countries based on panel data. Energies 12:2405
Zimmerle DJ et al (2015) Methane emissions from the natural gas transmission and storage system in the United States. Environ Sci Technol 49:9374–9383
Acknowledgements
The author gratefully acknowledged the financial support by the Australian Government Research Training Program Scholarship. Author expressed his profound gratitude to Associate Professor George S. Chen, Senior Lecturer Dr Shawn Leu and Professor Renato Andrin (Rene) Villano, Department of Economics, University of New England, Armidale, Australia, for their valuable efforts and constructive suggestions for this research.
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Appendices
Appendix 1: The list of investigated countries based on their income level
Low-income countries: Benin, Congo Dem. Rep., Ethiopia, Mozambique, Nepal, Senegal, Tanzania, Togo and Zimbabwe.
Lower-middle-income countries: Angola, Armenia, Bangladesh, Bolivia, Cambodia, Cameroon, Congo Rep., Cote d’Ivoire, Egypt, El Salvador, Ghana, Guatemala, Honduras, India, Indonesia, Jordan, Kenya, Kyrgyzstan, Mongolia, Morocco, Myanmar, Nicaragua, Nigeria, Pakistan, Philippines, Sri Lanka, Sudan, Syrian Arab Republic, Tajikistan, Tunisia, Yemen and Zambia.
Upper-middle-income countries: Albania, Algeria, Argentina, Azerbaijan, Belarus, Botswana, Brazil, Bulgaria, China, Colombia, Costa Rica, Croatia, Dominican Republic, Ecuador, Gabon, Guyana, Iran, Jamaica, Kazakhstan, Lebanon, Libya, Malaysia, Mauritius, Mexico, Namibia, Panama, Paraguay, Peru, Romania, Russia, South Africa, Suriname, Thailand, Turkey, Venezuela.
High-income countries: Australia, Austria, Bahrain, Belgium, Brunei, Canada, Chile, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Italy, Japan, Korea Republic, Kuwait, Luxembourg, Malta, Netherlands, New Zealand, Norway, Oman, Poland, Portugal, Qatar, Saudi Arabia, Singapore, Spain, Sweden, Switzerland, Trinidad and Tobago, UK, US and Uruguay.
Appendix 2
See Table 6.
Appendix 3
See Table 7.
Appendix 4
See Table 8.
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Uddin, M.M.M. Revisiting the impacts of economic growth on environmental degradation: new evidence from 115 countries. Environ Ecol Stat 28, 153–185 (2021). https://doi.org/10.1007/s10651-020-00479-9
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DOI: https://doi.org/10.1007/s10651-020-00479-9