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The nexus between economic growth, health expenditure, environmental quality: a comparative study for E7 countries

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Veröffentlicht/Copyright: 15. Mai 2023
Reviews on Environmental Health
Aus der Zeitschrift Reviews on Environmental Health Band 39 Heft 3

Abstract

The motivation of this study is to analyze the relationship between economic growth, health expenditures, environmental pollution, gross fixed capital formation and labor force by using annual data of E7 countries for the period 2000 to 2018. The co-integration coefficient of the variables was analyzed using the PMG technique, and the causality relationship between the variables was analyzed using the Emirmahmutoglu F, Kose N. Testing for granger causality in heterogeneous mixed panels. Econ Modell 2011;28:870–6 technique. In the empirical findings, the elasticity coefficient of health expenditures, environmental pollution, gross fixed capital formation and labor force variables is positive and significant. On the other hand, in the results of the causality relationship, it was concluded that economic growth and health expenditures are causal. It is concluded that economic growth is causal to CO2 emissions. In addition, CO2 emissions are the cause of health expenditures. As a result of the empirical findings obtained, the implementation of policies that will reduce environmental pollution in the perspective of sustainable growth will also affect health expenditures.

Keywords: CO2 emissions; E7 countries; economic growth; health expenditure; panel data
Corresponding author: Tuncer Govdeli, Oltu Faculty of Humanities and Social Sciences, University of Atatürk, Oltu, Erzurum, Türkiye, E-mail:

  1. Research funding: None declared.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no competing of interest.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: The local Institutional Review Board deemed the study exempt from review.

References

1. Bloom, DE, Canning, D, Kotschy, R, Prettner, K, Schünemann, JJ. Health and economic growth: reconciling the micro and macro evidence (No. w26003). National Bureau of Economic Research; 2019. Available from: https://www.nber.org/papers/w26003.10.3386/w26003Suche in Google Scholar

2. Zaidi, S, Saidi, K. Environmental pollution, health expenditure and economic growth in the sub-Saharan Africa countries: panel ARDL approach. Sustain Cities Soc 2018;41:833–40. https://doi.org/10.1016/j.scs.2018.04.034.Suche in Google Scholar

3. Cohen, AJ, Brauer, M, Burnett, R, Anderson, HR, Frostad, J, Estep, K, et al.. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the global burden of diseases study 2015. Lancet 2017;389:1907–18. https://doi.org/10.1016/s0140-6736(17)30505-6.Suche in Google Scholar

4. Croitoru, L, Sarraf, M, editors. The cost of environmental degradation: case studies from the Middle East and North Africa. World Bank Publications; 2010. Available from: https://documents1.worldbank.org/curated/en/896881468278941796/pdf/562950PUB0Envi1AUGUST0201011PUBLIC1.pdf.Suche in Google Scholar

5. Lelieveld, J, Evans, JS, Fnais, M, Giannadaki, D, Pozzer, A. The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 2015;525:367–71. https://doi.org/10.1038/nature15371.Suche in Google Scholar PubMed

6. Usman, M, Ma, Z, Zafar, MW, Haseeb, A, Ashraf, RU. Are air pollution, economic and non-economic factors associated with per capita health expenditures? Evidence from emerging economies. Int J Environ Res Publ Health 2019;16:1967. https://doi.org/10.3390/ijerph16111967.Suche in Google Scholar PubMed PubMed Central

7. Zhang, B, Wang, B, Wang, Z. Role of renewable energy and non-renewable energy consumption on EKC: evidence from Pakistan. J Clean Prod 2017;156:855–64. https://doi.org/10.1016/j.jclepro.2017.03.203.Suche in Google Scholar

8. Bhargava, A, Jamison, DT, Lau, LJ, Murray, CJ. Modeling the effects of health on economic growth. J Health Econ 2001;20:423–40. https://doi.org/10.1016/s0167-6296(01)00073-x.Suche in Google Scholar PubMed

9. Alhassan, GN, Adedoyin, FF, Bekun, FV, Agabo, TJ. Does life expectancy, death rate and public health expenditure matter in sustaining economic growth under COVID‐19: empirical evidence from Nigeria? J Publ Aff 2020;21:e2302. https://doi.org/10.1002/pa.2302.Suche in Google Scholar PubMed PubMed Central

10. Fernandes, N. Economic effects of coronavirus outbreak (COVID-19) on the world economy; 2020. SSRN 3557504. Available from: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3557504.10.2139/ssrn.3557504Suche in Google Scholar

11. Gyamfi, BA, Bein, MA, Bekun, FV. Investigating the nexus between hydroelectricity energy, renewable energy, nonrenewable energy consumption on output: evidence from E7 countries. Environ Sci Pollut Control Ser 2020;27:25327–39. https://doi.org/10.1007/s11356-020-08909-8.Suche in Google Scholar PubMed

12. Mehrara, M, Musai, M. The causality between health expenditure and economic growth in Iran. Int J Econ Res 2011;2:13–9.Suche in Google Scholar

13. Ogundipe, MA, Lawal, NA. Health expenditure and Nigerian economic growth. Eur J Econ Finance Adm Sci 2011;30:125–9.Suche in Google Scholar

14. Piabuo, SM, Tieguhong, JC. Health expenditure and economic growth-a review of the literature and an analysis between the economic community for central African states (CEMAC) and selected African countries. Health Econ Rev 2017;7:1–13. https://doi.org/10.1186/s13561-017-0159-1.Suche in Google Scholar PubMed PubMed Central

15. Bengochea-Morancho, A, Higon-Tamarit, F, Martínez-Zarzoso, I. Economic growth and CO2 emissions in the European Union. Environ Resour Econ 2001;19:165–72. https://doi.org/10.1023/a:1011188401445.10.1023/A:1011188401445Suche in Google Scholar

16. Bouznit, M, Pablo-Romero, MDP. CO2 emission and economic growth in Algeria. Energy Pol 2016;96:93–104. https://doi.org/10.1016/j.enpol.2016.05.036.Suche in Google Scholar

17. Mikayilov, JI, Galeotti, M, Hasanov, FJ. The impact of economic growth on CO2 emissions in Azerbaijan. J Clean Prod 2018;197:1558–72. https://doi.org/10.1016/j.jclepro.2018.06.269.Suche in Google Scholar

18. Tong, T, Ortiz, J, Xu, C, Li, F. Economic growth, energy consumption, and carbon dioxide emissions in the E7 countries: a bootstrap ARDL bound test. Energy, Sustain Soc 2020;10:1–17. https://doi.org/10.1186/s13705-020-00253-6.Suche in Google Scholar

19. Ibukun, CO, Osinubi, TT. Environmental quality, economic growth, and health expenditure: empirical evidence from a panel of African countries. African J Econ Rev 2020;8:119–40.Suche in Google Scholar

20. Khan, SAR, Zhang, Y, Kumar, A, Zavadskas, E, Streimikiene, D. Measuring the impact of renewable energy, public health expenditure, logistics, and environmental performance on sustainable economic growth. Sustain Dev 2020;28:833–43. https://doi.org/10.1002/sd.2034.Suche in Google Scholar

21. Olisakwe, O. Public health expenditure, economic growth and health outcomes in Nigeria. Publ Health 2019;6:23–32. https://doi.org/10.18488/journal.74.2019.61.23.32.Suche in Google Scholar

22. Heshmati, A. On the causality between GDP and health care Eexpenditure in augmented Solow growth model (No. 423). In: SSE/EFI working paper series in economics and finance; 2001.Suche in Google Scholar

23. Apergis, N, Jebli, MB, Youssef, SB. Does renewable energy consumption and health expenditures decrease carbon dioxide emissions? Evidence for sub-Saharan Africa countries. Renew Energy 2018;127:1011–6. https://doi.org/10.1016/j.renene.2018.05.043.Suche in Google Scholar

24. Gövdeli, T. Health expenditure, economic growth, and CO2 emissions: evidence from the OECD countries. Adıyaman Üniv Sos Bilimler Enst Derg 2019;31:488–516. https://doi.org/10.14520/adyusbd.477571.Suche in Google Scholar

25. Haseeb, M, Kot, S, Hussain, HI, Jermsittiparsert, K. Impact of economic growth, environmental pollution, and energy consumption on health expenditure and R&D expenditure of ASEAN countries. Energies 2019;12:3598. https://doi.org/10.3390/en12193598.Suche in Google Scholar

26. Pervaiz, R, Faisal, F, Rahman, SU, Chander, R, Ali, A. Do health expenditure and human development index matter in the carbon emission function for ensuring sustainable development? Evidence from the heterogeneous panel. Air Qual Atmos Health 2021;14:1773–84. https://doi.org/10.1007/s11869-021-01052-4.Suche in Google Scholar PubMed PubMed Central

27. Jebli, MB. On the causal links between health indicator, output, combustible renewables and waste consumption, rail transport, and CO2 emissions: the case of Tunisia. Environ Sci Pollut Control Ser 2016;23:16699–715. https://doi.org/10.1007/s11356-016-6850-7.Suche in Google Scholar PubMed

28. Ghorashi, N, Rad, AA. CO2 emissions, health expenditures and economic growth in Iran: apply dynamic simultaneous-equations models. J Community Health Res 2017;6:109–16.Suche in Google Scholar

29. Bhowmik, D. Determinants of India’s health expenditure: an econometric analysis. Int J Rec Trend Business Tourism (IJRTBT) 2020;4:13–23. Available from: https://ejournal.lucp.net/index.php/ijrtbt/article/view/924.Suche in Google Scholar

30. Kaur, A. Health status, government health expenditure and economic growth nexus in India: a toda–yamamoto causality approach. Arthaniti: J EconTheory Pract 2020: 0976747920963401. https://doi.org/10.1177/0976747920963401.Suche in Google Scholar

31. Prasetyo, DE, Adenan, M, Komariyah, S. Study of health expenditure and economic welfare in Indonesia. Int J Adv Res Sci Eng Technol 2019;6:10125–32.Suche in Google Scholar

32. Mujtaba, G, Shahzad, SJH. Air pollutants, economic growth and public health: implications for sustainable development in OECD countries. Environ Sci Pollut Control Ser 2021;28:12686–98. https://doi.org/10.1007/s11356-020-11212-1.Suche in Google Scholar PubMed PubMed Central

33. Ullah, I, Ali, S, Shah, MH, Yasim, F, Rehman, A, Al-Ghazali, BM. Linkages between trade, CO2 emissions and healthcare spending in China. Int J Environ Res Publ Health 2019;16:4298. https://doi.org/10.3390/ijerph16214298.Suche in Google Scholar PubMed PubMed Central

34. Wang, Z, Asghar, MM, Zaidi, SAH, Wang, B. Dynamic linkages among CO 2 emissions, health expenditures, and economic growth: empirical evidence from Pakistan. Environ Sci Pollut Control Ser 2019;26:15285–99. https://doi.org/10.1007/s11356-019-04876-x.Suche in Google Scholar PubMed

35. Raihan, A, Farhana, S, Muhtasim, DA, Hasan, MAU, Paul, A, Faruk, O. The nexus between carbon emission, energy use, and health expenditure: empirical evidence from Bangladesh. Carbon Res 2022;1:30. https://doi.org/10.1007/s44246-022-00030-4.Suche in Google Scholar

36. Magazzino, C, Mele, M. A new machine learning algorithm to explore the CO2 emissions-energy use-economic growth trilemma. Ann Oper Res 2022:1–19. https://doi.org/10.1007/s10479-022-04787-0.Suche in Google Scholar

37. Mensah, IA, Sun, M, Gao, C, Omari-Sasu, AY, Zhu, D, Ampimah, BC, et al.. Analysis on the nexus of economic growth, fossil fuel energy consumption, CO2 emissions and oil price in Africa based on a PMG panel ARDL approach. J Clean Prod 2019;228:161–74. https://doi.org/10.1016/j.jclepro.2019.04.281.Suche in Google Scholar

38. Chaabouni, S, Zghidi, N, Mbarek, MB. On the causal dynamics between CO2 emissions, health expenditures and economic growth. Sustain Cities Soc 2016;22:184–91. https://doi.org/10.1016/j.scs.2016.02.001.Suche in Google Scholar

39. Sethi, N, Mohanty, S, Das, A, Sahoo, M. Health expenditure and economic growth nexus: empirical evidence from south Asian countries. Global Bus Rev 2020:1–15. https://doi.org/10.1177/0972150920963069.Suche in Google Scholar

40. Nasreen, S. Association between health expenditures, economic growth and environmental pollution: long‐run and causality analysis from Asian economies. Int J Health Plann Manag 2021;36:925–44. https://doi.org/10.1002/hpm.3132.Suche in Google Scholar PubMed

41. Yang, B, Usman, M, jahanger, A. Do industrialization, economic growth and globalization processes influence the ecological footprint and healthcare expenditures? Fresh insights based on the STIRPAT model for countries with the highest healthcare expenditures. Sustain Prod Consum 2021;28:893–910. https://doi.org/10.1016/j.spc.2021.07.020.Suche in Google Scholar

42. You, W, Zhang, Y, Lee, CC. The dynamic impact of economic growth and economic complexity on CO2 emissions: an advanced panel data estimation. Econ Anal Pol 2022;73:112–28. https://doi.org/10.1016/j.eap.2021.11.004.Suche in Google Scholar

43. Nasiru, I, Usman, HM. Health expenditure and economic growth nexus: an ARDL approach for the case of Nigeria. J Res Nat Dev 2012;10:95–100.Suche in Google Scholar

44. Zeeshan, M, Han, J, Rehman, IUA, Afridi, FEA. Exploring asymmetric nexus between CO2 emissions, environmental pollution, and household health expenditure in China. Risk Manag Healthc Pol 2021;14:527. https://doi.org/10.2147/rmhp.s281729.Suche in Google Scholar

45. Ganda, F. The impact of health expenditure on environmental quality: the case of BRICS. Dev Stud Res 2021;8:199–217. https://doi.org/10.1080/21665095.2021.1955720.Suche in Google Scholar

46. Ozturk, I, Aslan, A, Altinoz, B. Investigating the nexus between CO2 emissions, economic growth, energy consumption and pilgrimage tourism in Saudi Arabia. Economic Research-Ekonomska Istraživanja 2022;35:3083–98. https://doi.org/10.1080/1331677x.2021.1985577.Suche in Google Scholar

47. Ye, L, Zhang, X. Nonlinear Granger Causality between health care expenditure and economic growth in the OECD and major developing countries. Int J Environ Res Publ Health 2018;15:1953. https://doi.org/10.3390/ijerph15091953.Suche in Google Scholar PubMed PubMed Central

48. Ahmad, M, Akram, W, Ikram, M, Shah, AA, Rehman, A, Chandio, AA, et al.. Estimating dynamic interactive linkages among urban agglomeration, economic performance, carbon emissions, and health expenditures across developmental disparities. Sustain Prod Consum 2021;26:239–55. https://doi.org/10.1016/j.spc.2020.10.006.Suche in Google Scholar

49. Magazzino, C. The relationship among real gross domestic product, CO2 emissions, and energy use in South Caucasus and Turkey. Int J Energy Econ Pol 2016;6:672–83.Suche in Google Scholar

50. World Bank. World development indicators database: 2022. World Bank Gr; 2022. Available from: https://datatopics.worldbank.org/world-development-indicators/.Suche in Google Scholar

51. Breusch, TS, Pagan, AR. The Lagrange multiplier test and its applications to model specification in econometrics. Rev Econ Stud 1980;47:239–53. https://doi.org/10.2307/2297111.Suche in Google Scholar

52. Pesaran, MH. General diagnostic tests for cross-sectional dependence in panels. Empir Econ 2021;60:13–50. https://doi.org/10.1007/s00181-020-01875-7.Suche in Google Scholar

53. Im, KS, Pesaran, MH, Shin, Y. Testing for unit roots in heterogeneous panels. J Econom 2003;115:53–74. https://doi.org/10.1016/s0304-4076(03)00092-7.Suche in Google Scholar

54. Levin, A, Lin, CF, Chu, CSJ. Unit root tests in panel data: asymptotic and finite-sample properties. J Econom 2002;108:1–24. https://doi.org/10.1016/s0304-4076(01)00098-7.Suche in Google Scholar

55. Maddala, GS, Wu, S. A comparative study of unit root tests with panel data and a new simple test. Oxf Bull Econ Stat 1999;61:631–52. https://doi.org/10.1111/1468-0084.0610s1631.Suche in Google Scholar

56. Pedroni, P. Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxf Bull Econ Stat 1999;61:653–70. https://doi.org/10.1111/1468-0084.0610s1653.Suche in Google Scholar

57. Kao, C. Spurious regression and residual-based tests for cointegration in panel data. J Econom 1999;90:1–44. https://doi.org/10.1016/s0304-4076(98)00023-2.Suche in Google Scholar

58. Westerlund, J, Edgerton, DL. A panel bootstrap cointegration test. Econ Lett 2007;97:185–90. https://doi.org/10.1016/j.econlet.2007.03.003.Suche in Google Scholar

59. Pesaran, MH, Shin, Y, Smith, RP. Pooled mean group estimation of dynamic heterogeneous panels. J Am Stat Assoc 1999;94:621–34. https://doi.org/10.1080/01621459.1999.10474156.Suche in Google Scholar

60. Abbas, S. Impact of oil prices on remittances to Pakistan from GCC countries: evidence from panel asymmetric analysis. OPEC Energy Review 2020;44:205–23. https://doi.org/10.1111/opec.12180.Suche in Google Scholar

61. Emirmahmutoglu, F, Kose, N. Testing for granger causality in heterogeneous mixed panels. Econ Modell 2011;28:870–6. https://doi.org/10.1016/j.econmod.2010.10.018.Suche in Google Scholar

62. Mehrara, M. Health expenditure and economic growth: an ARDL approach for the case of Iran. Journal of Economics and Behavioral Studies 2011;3:249–56. https://doi.org/10.22610/jebs.v3i4.277.Suche in Google Scholar

63. Gyamfi, BA, Adebayo, TS. Do natural resource volatilities and renewable energy contribute to the environment and economic performance? Empirical evidence from E7 economies. Environ Sci Pollut Control Ser 2022;30:1–13. https://doi.org/10.1007/s11356-022-23457-z.Suche in Google Scholar PubMed

64. Wu, D, Yang, Y, Shi, Y, Xu, M, Zou, W. Renewable energy resources, natural resources volatility and economic performance: evidence from BRICS. Resour Pol 2022;76:102621. https://doi.org/10.1016/j.resourpol.2022.102621.Suche in Google Scholar

65. Govdeli, T. Economic growth, domestic savings and fixed capital investments: analysis for Caucasus and central asian countries. Montenegrin J Econ 2022;18:145–53. https://doi.org/10.14254/1800-5845/2022.18-3.12.Suche in Google Scholar

66. Magazzino, C, Alola, AA, Schneider, N. The trilemma of innovation, logistics performance, and environmental quality in 25 topmost logistics countries: a quantile regression evidence. J Clean Prod 2021;322:129050. https://doi.org/10.1016/j.jclepro.2021.129050.Suche in Google Scholar PubMed PubMed Central

67. Affoh, R, Zheng, H, Dangui, K, Dissani, BM. The impact of climate variability and change on food security in sub-saharan africa: perspective from panel data analysis. Sustainability 2022;14:759. https://doi.org/10.3390/su14020759.Suche in Google Scholar

68. Sikder, M, Wang, C, Yao, X, Huai, X, Wu, L, KwameYeboah, F, et al.. The integrated impact of GDP growth, industrialization, energy use, and urbanization on CO2 emissions in developing countries: evidence from the panel ARDL approach. Sci Total Environ 2022;837:155795. https://doi.org/10.1016/j.scitotenv.2022.155795.Suche in Google Scholar PubMed

69. Ullah, I, Rehman, A, Khan, FU, Shah, MH, Khan, F. Nexus between trade, CO2 emissions, renewable energy, and health expenditure in Pakistan. Int J Health Plann Manag 2020;35:818–31. https://doi.org/10.1002/hpm.2912.Suche in Google Scholar PubMed

Received: 2022-12-09
Accepted: 2023-03-30
Published Online: 2023-05-15
Published in Print: 2024-09-25

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/reveh-2022-0246
Schlagwörter für diesen Artikel
CO2 emissions; E7 countries; economic growth; health expenditure; panel data

Artikel in diesem Heft

  1. Frontmatter
  2. Reviews
  3. E-waste in Vietnam: a narrative review of environmental contaminants and potential health risks
  4. Knowledge mapping and research trends of the social determinants of health (SDoH): a scientometric analysis
  5. Hospital wastewater treatment methods and its impact on human health and environments
  6. Associated health risk assessment due to exposure to BTEX compounds in fuel station workers
  7. Associations between fine particulate matter and colorectal cancer: a systematic review and meta-analysis
  8. Health effects of air pollutant mixtures (volatile organic compounds, particulate matter, sulfur and nitrogen oxides) – a review of the literature
  9. Status and frontier analysis of indoor PM2.5-related health effects: a bibliometric analysis
  10. Relationship between parental exposure to radiofrequency electromagnetic fields and primarily hematopoietic neoplasms (lymphoma, leukemia) and tumors in the central nervous system in children: a systematic review
  11. Blood and hair copper levels in childhood autism spectrum disorder: a meta-analysis based on case-control studies
  12. Cellular and molecular effects of non-ionizing electromagnetic fields
  13. Benzo (a) pyrene in infant foods: a systematic review, meta-analysis, and health risk assessment
  14. Relationship between exposure to heavy metals on the increased health risk and carcinogenicity of urinary tract (kidney and bladder)
  15. The nexus between economic growth, health expenditure, environmental quality: a comparative study for E7 countries
  16. Potentially toxic elements in the environment – a review of sources, sinks, pathways and mitigation measures
  17. Assessment of medical waste generation rate in Viet Nam
  18. A scoping review of waterborne and water-related disease in the Florida environment from 1999 to 2022
  19. Effects of man-made electromagnetic fields on heart rate variability parameters of general public: a systematic review and meta-analysis of experimental studies
  20. Letter to the Editor
  21. Environmental perspectives of monkeypox virus: correspondence
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