Skip to main content
Log in

Revisiting the nexus between economic growth and environment health: an empirical study on 180 nations

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Sustainability is considered to be one of the biggest issues in the current time. This study aims to understand the role of sustainability further by revisiting the much-debated and intricate relationship between economic growth and environmental performance and to provide guidance to policymakers. Using a large sample of data from 180 countries over the period from 2002 to 2017 a measure that captures the various aspects of environmental performance, the study performs a test of the Environmental Kuznets Curve (EKC) hypothesis, which defines the relationship between economic growth and environmental deterioration. Controlling for several associated macroeconomic and governance variables, the results suggest that for certain regions, viz. Asia, Eastern Europe, and North America, higher economic growth, as proxied by per capita GDP, has a negative association with environmental performance (measured by Environmental Performance Indices, EPI), indicating that the former may prove detrimental to the later. The results suggest a unidirectional relationship between the two variables and are also robust to endogeneity concerns that are often emphasized in the EKC literature. The study documents similar results for lower-income and lower-middle-income countries. Interestingly, the authors also find that small-sized governments in developing nations have a positive association with environmental performance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Source: Authors’ depiction using EPI database from Yale Center

Fig. 2

Source: Authors’ depiction using EPI database from Yale Center

Similar content being viewed by others

Data availability

All data and materials as well as software application or custom code support the current research paper submitted with published claims and comply with field standards. The authors have no objection in sharing research data in concordance with disciplinary norms and expectations, as per the requirements.

All the secondary sources and software used in the current paper are acknowledged and cited in the references appropriately by the authors. Datasets that are assigned digital object identifiers (DOIs) by a data repository are cited in the reference list. Data citations include the minimum information recommended by DataCite: authors, title, publisher (repository name), identifier.

Notes

  1. EPI ranks nations based on environmental concerns in two sub-areas: protection of ecosystems and human health. Further, on the basis of these policy goals, EPI ranks and scores the nation’s performance in eleven issue groups comprising 32 indicators (EPI, 2016 Report).

  2. At an increasing per capita GDP, there is a greater tendency for countries to witness depleting environmental conditions up to a level that is reversed after touching the tipping point.

  3. Due to differences in the variable proxies, data range, methodology used, and national or regional characteristics, the conclusions from these researches have always created substantial disparities.

  4. A proxy to denote the EH and EV of a nation.

  5. The use of panel OLS estimators using fixed or random effects may be problematic due to the correlation between lagged dependent variables (significant in all the model specifications in our empirical analysis) and the error term.

  6. The positive correlation of EPI with population density and urbanization is due to the overall sample dataset considered here.

  7. The study has separately run the static panel modeling too on the chosen sample set. However, the same has not been depicted in the paper as the study’s main focus is to test the “dynamic dependent variable.” The static analysis empirical results corroborate the dynamic panel results.

  8. Transformation refers to a statistical process where a variable’s past value is subtracted from its present value.

  9. Null for AR (2) and Hansen tests should be accepted, and duly satisfied when conducted separately.

  10. Overproduction will be due to the fact that private marginal cost will be lower than social marginal cost.

  11. Leibenstein (1966) has elaborated upon the inefficiencies associated with production activities undertaken by the government sector. The inadequate threat of “Bankruptcy” or “Takeover” of public production of goods and services further induces such inefficiencies.

  12. The dependent variable is EPI. All regressions follow a “two-step estimation procedure” as it produces lower bias coefficients and heteroskedasticity robust standard errors (Windmeijer 2005). All models consider lagged EPI as an endogenous explanatory variable. Parentheses contain heteroskedasticity- robust standard errors clustered at the firm level. The Sargan-Hansen test is a “test of over-identifying restrictions” with the conjecture of validity of instruments used in the study (Sargan 1958; Hansen 1982).

  13. The Right to Know? State Politics of Fracking Disclosure, Review of Policy Research Journal (Vol. 30 Issue 4, p345-365).

  14. Towards global green shipping: the development of international regulations on the reduction of GHG emissions from ships, Int. Environ Agreements (2016) 16:561–577.

References

  • Akadiri SS, Uzuner G, Akadiri AC, Lasisi TT (2021) Environmental Kuznets curve hypothesis in the case of tourism island states: the moderating role of globalization. Int J Financ Econ 26(2):2846–2858

    Google Scholar 

  • Ahmed Z, Asghar MM, Malik MN, Nawaz K (2020) Moving towards a sustainable environment: the dynamic linkage between natural resources, human capital, urbanization, economic growth, and ecological footprint in China. Resources Policy 67:101677

  • Ahmed Z, Nathaniel SP, Shahbaz M (2021) The criticality of information and communication technology and human capital in environmental sustainability: evidence from Latin American and Caribbean countries. J Clean Prod, 286:125529

  • Alam MS, Kabir N (2013) Economic growth and environmental sustainability: empirical evidence from East and South-East Asia. Int J Econ Financ 5(2)

  • Ali A, Wani TA, Wani IA, Masoodi FA (2016) Comparative study of the physico-chemical properties of rice and corn starches grown in Indian temperate climate. J Saudi Soc Agric Sci 15(1):75–82

    Google Scholar 

  • Ansari MA, Ahmad MR, Siddique S, Mansoor K (2020) An environment Kuznets curve for ecological footprint: Evidence from GCC countries. Carbon Management 11(4):355–368

    CAS  Google Scholar 

  • Arellano M, Bond S (1991) Application to Employment Equations

  • Arellano M, Bover O (1995) Another look at the instrumental variable estimation of error-components models. J Econ 68(1):29–51

    Google Scholar 

  • Arfanuzzaman M (2016) Impact of CO2 emission, per capita income and HDI on Environmental Performance Index: empirical evidence from Bangladesh. Int J Green Econ 10(3–4):213–225

    Google Scholar 

  • Aydin M, Turan YE (2020) 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(34):43233–43245

    Google Scholar 

  • Baltagi BH, Demetriades PO, Law SH (2009) Financial development and openness: Evidence from panel data. J Dev Econ 89(2):285–296

    Google Scholar 

  • Bernard J, Mandal SK (2016) The impact of trade openness on environmental quality: an empirical analysis of emerging and developing economies. WIT Trans Ecol Environ 203:195–208

    CAS  Google Scholar 

  • Blundell R, Bond S (1998) Initial conditions and moment restrictions in dynamic panel data models. J Econ 87(1):115–143

    Google Scholar 

  • Chakraborty D, Mukherjee S (2013) Fiscal subsidies and environmental sustainability: what does the cross-country empirical estimates suggest? Foreign Trade Rev 48(3):383–397

    Google Scholar 

  • Chang T, Hsu CM, Chen ST, Wang MC, Wu CF (2023) Revisiting economic growth and CO2 emissions nexus in Taiwan using a mixed-frequency VAR model. Econ Anal Policy

  • Chowdhury T, Islam S (2017) Environmental Performance Index and GDP growth rate: evidence from BRICS countries. Environ Econ 8(4):31–36

    Google Scholar 

  • Dada JT, Adeiza A, Noor AI, Marina A (2022) Investigating the link between economic growth, financial development, urbanization, natural resources, human capital, trade openness and ecological footprint: evidence from Nigeria. J Bioecon 1–27

  • Dasgupta S, De Cian E (2016) Institutions and the environment: existing evidence and future directions

  • Dong K, Dong X, Jiang Q (2020) How renewable energy consumption lower global CO2 emissions? Evidence from countries with different income levels. World Econ 43(6):1665–1698

    Google Scholar 

  • Fisk JM (2013) The right to know? State politics of fracking disclosure. Rev Policy Res 30(4):345–365

    Google Scholar 

  • Frank AG, DalleMolle N, Gerstlberger W, Bernardi JAB, Pedrini DC (2016) An integrative environmental performance index for benchmarking in oil and gas industry. J Clean Prod 133:1190–1203

    Google Scholar 

  • García J, García-Galán MJ, Day JW, Boopathy R, White JR, Wallace S, Hunter RG (2020) A review of emerging organic contaminants (EOCs), antibiotic resistant bacteria (ARB), and antibiotic resistance genes (ARGs) in the environment: Increasing removal with wetlands and reducing environmental impacts. Bioresour Technol 307:123228

  • Gurluk S (2009) Economic growth, industrial pollution and human development in the Mediterranean Region. Ecol Econ 68(8–9):2327–2335

    Google Scholar 

  • Han H (2012) Income inequality and carbon dioxide emissions in Asia

  • Hansen LP (1982) Large sample properties of generalized method of moments estimators. Econometrica: Journal of the Econometric Society, 1029–1054

  • Hassan SA, Zaman K, Gul S (2015) The relationship between growth-inequality-poverty triangle and environmental degradation: unveiling the reality. Arab Econ Bus J 10(1):57–71

    Google Scholar 

  • Jain M, Nagpal A (2020) Analysing the nexus of environmental performance and human well-being: an empirical study of selected emerging economies. Int J Green Econ 14(3):266–277

    Google Scholar 

  • Katircioglu S, Gokmenoglu KK, Eren BM (2018) Testing the role of tourism development in ecological footprint quality: evidence from top 10 tourist destinations. Environ Sci Pollut Res 25:33611–33619

    Google Scholar 

  • Ketokivi M, McIntosh CN (2017) Addressing the endogeneity dilemma in operations management research: Theoretical, empirical, and pragmatic considerations. J Oper Manag 52:1–14

    Google Scholar 

  • Kihombo S, Ahmed Z, Chen S, Adebayo TS, Kirikkaleli D (2021a) Linking financial development, economic growth, and ecological footprint: what is the role of technological innovation? Environ Sci Pollut Res 28(43):61235–61245

    Google Scholar 

  • Kihombo S, Saud S, Ahmed Z, Chen S (2021b) The effects of research and development and financial development on CO2 emissions: evidence from selected WAME economies. Environ Sci Pollut Res 28(37):51149–51159

    CAS  Google Scholar 

  • Kongbuamai N, Bui Q, Yousaf HMAU, Liu Y (2020) The impact of tourism and natural resources on the ecological footprint: a case study of ASEAN countries. Environ Sci Pollut Res 27:19251–19264

    Google Scholar 

  • Le TH, Chang Y, Park D (2019) Economic development and environmental sustainability: evidence from Asia. Empir Econ 57(4):1129–1156

    Google Scholar 

  • Leblois A, Damette O, Wolfersberger J (2017) What has driven deforestation in developing countries since the 2000s? Evidence from new remote-sensing data. World Dev 92:82–102

    Google Scholar 

  • Leibenstein H (1966) Incremental capital-output ratios and growth rates in the short run. Rev Econ Stat, 20–27

  • Li C, Chandio AA, He G (2022a) Dual performance of environmental regulation on economic and environmental development: evidence from China. Environ Sci Pollut Res 29(2):3116–3130

    Google Scholar 

  • Li R, Li L, Wang Q (2022b) The impact of energy efficiency on carbon emissions: evidence from the transportation sector in Chinese 30 provinces. Sustain Cities Soc 82:103880

    Google Scholar 

  • Li R, Han X, Wang Q (2023) Do technical differences lead to a widening gap in China’s regional carbon emissions efficiency? Evidence from a combination of LMDI and PDA approach. Renew Sustain Energy Rev 182:113361

    CAS  Google Scholar 

  • Liu Y, Xi B, Wang G (2021) The impact of corporate environmental responsibility on financial performance - based on Chinese listed companies. Environ Sci Pollut Res 28:7840–7853

    Google Scholar 

  • Maccari N (2014) Environmental sustainability and human development: a greening of human development index. Available at SSRN 2426073

  • Matsumoto KI, Makridou G, Doumpos M (2020) Evaluating environmental performance using data envelopment analysis: the case of European countries. J Clean Prod 272:122637

    Google Scholar 

  • Mukherjee S, Chakraborty D (2013) Is environmental sustainability influenced by socioeconomic and sociopolitical factors? Cross-country empirical evidence. Sustain Dev 21(6):353–371

    Google Scholar 

  • Nathaniel SP, Bekun FV (2020) Environmental management amidst energy use, urbanization, trade openness, and deforestation: the Nigerian experience. J Public Aff 20(2):e2037

    Google Scholar 

  • Nathaniel S, Nwodo O, Sharma G, Shah M (2020) Renewable energy, urbanization, and ecological footprint linkage in CIVETS. Environ Sci Pollut Res 27:19616–19629

    Google Scholar 

  • Pao HT, Tsai CM (2011) Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil. Energy 36(5):2450–2458

    Google Scholar 

  • 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

    Google Scholar 

  • Reed WR, Ye H (2011) Which panel data estimator should I use? Appl Econ 43(8):985–1000

    Google Scholar 

  • Rehman MA, Fareed Z, Shahzad F (2022) When would the dark clouds of financial inclusion be over, and the environment becomes clean? The role of national governance. Environ Sci Pollut Res 29(19):27651–27663

    Google Scholar 

  • Rizzo M (2015) The political economy of an urban megaproject: the bus rapid transit project in Tanzania. Afr Aff 114(455):249–270

    Google Scholar 

  • Roodman D (2009) How to do xtabond2: An introduction to difference and system GMM in Stata. Stata J 9(1):86–136

    Google Scholar 

  • Salahodjaev R (2016) Does intelligence improve environmental sustainability? An empirical test. Sustain Dev 24(1):32–40

    Google Scholar 

  • Samimi AJ, Ahmadpour M, Moghaddasi R, Azizi K (2011) Environmental performance and economic growth: new evidence from the Oic Countries. Adv Environ Biol 5(4):655–666

    Google Scholar 

  • Sargan JD (1958) The estimation of economic relationships using instrumental variables. Econometrica: Journal of the Econometric Society, 393–415

  • Shah SAA, Longsheng C (2020) New environmental performance index for measuring sector-wise environmental performance: a case study of major economic sectors in Pakistan. Environ Sci Pollut Res 27:41787–41802

    Google Scholar 

  • 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 Soc 57:102138

    Google Scholar 

  • Singh AK, Issac J, Narayanan KGS (2019) Measurement of environmental sustainability index and its association with socio-economic indicators in selected Asian economies: an empirical +investigation. Int J Environ Sustain Dev 18(1):57–100

    Google Scholar 

  • Tiba S, Omri A (2017) Literature survey on the relationships between energy, environment and economic growth. Renew Sust Energ Rev 69:1129–1146

    Google Scholar 

  • Ulucak R, Khan SUD (2020) Determinants of the ecological footprint: role of renewable energy, natural resources, and urbanization. Sustain Cities Soc 54:101996

    Google Scholar 

  • Waheed R, Sarwar S, Wei C (2019) The survey of economic growth, energy consumption and carbon emission. Energy Rep 5:1103–1115

    Google Scholar 

  • Wang Q, Wang X, Li R (2022a) Does urbanization redefine the environmental Kuznets curve? An empirical analysis of 134 countries. Sustain Cities Soc 76:103382

    Google Scholar 

  • Wang W, Rehman MA, Fahad S (2022b) The dynamic influence of renewable energy, trade openness, and industrialization on the sustainable environment in G-7 economies. Renewable Energy 198:484–491

    Google Scholar 

  • Wang Q, Sun J, Li R, Pata UK (2023a) Linking trade openness to load capacity factor: the threshold effects of natural resource rent and corruption control. Gondwana Res

  • Wang Q, Sun J, Pata UK, Li R, Kartal MT (2023b) Digital economy and carbon dioxide emissions: examining the role of threshold variables. Geosci Front 101644

  • Wang Q, Zhang F, Li R (2023c) Free trade and carbon emissions revisited: the asymmetric impacts of trade diversification and trade openness. Sustain Dev

  • Windmeijer F (2005) A finite sample correction for the variance of linear efficient two-step GMM estimators. J Econ 126(1):25–51

    Google Scholar 

  • Wintoki MB, Linck JS, Netter JM (2012) Endogeneity and the dynamics of internal corporate governance. J Financ Econ 105(3):581–606

    Google Scholar 

  • Wolf MJ, Emerson JW, Esty DC, Sherbinin AD, Wendling ZA (2022) 2022 Environmental Performance Index (EPI) results. Yale Center for Environmental Law & Policy, New Haven, CT

    Google Scholar 

  • Wooldridge JM (2001) Applications of generalized method of moments estimation. J Econ Perspect 15(4):87–100

    Google Scholar 

  • Wooldridge M (2012) Does game theory work? IEEE Intell Syst 27(6):76–80

    Google Scholar 

  • Wu CF, Li F, Hsueh HP, Wang CM, Lin MC, Chang T (2020) A dynamic relationship between environmental degradation, healthcare expenditure and economic growth in wavelet analysis: empirical evidence from Taiwan. Int J Environ Res Public Health 17(4):1386

    CAS  Google Scholar 

  • Wu CF, Chang T, Wang CM, Wu TP, Lin MC, Huang SC (2021) Measuring the impact of health on economic growth using pooling data in regions of Asia: evidence from a quantile-on-quantile analysis. Front Public Health 9:689610

    Google Scholar 

  • Wu CF, Huang SC, Wu TP, Chang T, Lin MC (2023) The dynamic relationship between military expenditure, environmental pollution, and economic growth in G7 countries: a wavelet analysis approach. Energy Environ 0958305X231159437

  • Xi B, Dai J, Liu Y (2022) Does environmental information disclosure affect the financial performance of commercial banks? Evidence from China. Environ Sci Pollut Res 29(43):65826–65841

    Google Scholar 

  • Yilanci V, Pata UK (2020) Investigating the EKC hypothesis for China: the role of economic complexity on ecological footprint. Environ Sci Pollut Res 27(26):32683–32694

    Google Scholar 

  • Zeraibi A, Ahmed Z, Shehzad K, Murshed M, Nathaniel SP, Mahmood H (2022) Revisiting the EKC hypothesis by assessing the complementarities between fiscal, monetary, and environmental development policies in China. Environ Sci Pollut Res, 1–16

  • Zhang P, Zhu C, Hou Y (2016) Fiscal decentralization, flat administrative structure, and local government size: evidence and lessons from China. Public Adm Dev 36(3):198–214

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

All authors have made substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data; or the creation of new software used in the work; drafted the work or revised it critically for important intellectual content; approved the version to be published; and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Dr. MJ, Dr. TJ, and Dr. PJ. The first draft of the manuscript was written by all authors together. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Megha Jain.

Ethics declarations

The authors have no competing interests to declare that are relevant to the content of this article. All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript. The authors have no financial or proprietary interests in any material discussed in this article.

Ethical approval

This is to certify the editorial team of the journal that the authors have abided by all the guidelines under ethical disclosures and integrity given under the COPE guidelines. The journal could use any plagiarism software to check the authenticity and originality of the research paper submitted hereby. The authors have ensured the contribution of all the authors to the current research paper submission and their respective affiliations indicated in the submission.

The authors hereby disclose of no potential conflicts of interest, give hereby informed consent of not hurting the specific category of human and animals through this paper.

Consent to participate

All authors agreed with the content and that all gave explicit consent to submit and that they obtained consent from the responsible authorities at the institute/organization where the work has been carried out, before the work is submitted.

Consent for publication

All authors hereby give consent to publish the content in the research article submitted at the portal as required by the journal.

Competing interests

The authors declare no competing interests.

Employment

There is no gain or lose anticipated by the present or future employment by any organization through publication of this manuscript.

Additional information

Responsible Editor: Ilhan Ozturk

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 14 KB)

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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jain, M., Jain, T. & Jain, P. Revisiting the nexus between economic growth and environment health: an empirical study on 180 nations. Environ Sci Pollut Res 30, 122550–122579 (2023). https://doi.org/10.1007/s11356-023-30585-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-023-30585-7

Keywords

Navigation