Politická ekonomie 2023, 71(6):730-757 | DOI: 10.18267/j.polek.1405

Combining Economic Growth and Financial Development in Environment-Health Nexus

Han Dongping ORCID...a, Mansoor Ahmed Golo ORCID...a, Qamaruddin Maharb, Syed Safdar Ali Shah ORCID...b, Maysa Kadyrova ORCID...c
a School of Management, Harbin Institute of Technology, Harbin, China
b Faculty of Business Education Social Sciences and Humanities Isra University, Hyderabad, Pakistan
c School of Management, Shanghai University, Shanghai, China

This study examines the impact of monetary developments on environmental quality and economic growth. We utilize ARDL/PMG models to study twelve climatically vulnerable countries from 1996 to 2018. We find that a 1% increase in real GDP and domestic credit harms the environment by 0.827% and 0.220%, respectively. However, savings improve environmental excellence by 0.373%. A 1% environmental degradation decreases human health by 0.317%; consequently, economic growth declines by 1.102%. Good governance emerges as a key solution, with a 1% improvement in public institutions mitigating the adverse impact of real GDP on the environment by 0.777%. Redirecting 1% of loans to eco-friendly projects improves the environment by 1.311%. Dumitrescu-Hurlin and PVAR Granger tests support these findings.

Keywords: Environmental degradation index, human health index, PCA technique, panel ARDL method, good governance, high-risk countries
JEL classification: C33, O44, Q51

Received: February 24, 2023; Revised: June 1, 2023; Accepted: July 10, 2023; Prepublished online: November 23, 2023; Published: December 19, 2023  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Dongping, H., Golo, M.A., Mahar, Q., Safdar Ali Shah, S., & Kadyrova, M. (2023). Combining Economic Growth and Financial Development in Environment-Health Nexus. Politická ekonomie71(6), 730-757. doi: 10.18267/j.polek.1405
Download citation

References

  1. Abbasi, M. A., Parveen, S., Khan, S., et al. (2020). Urbanization and energy consumption effects on carbon dioxide emissions: evidence from Asian-8 countries using panel data analysis. Environmental Science and Pollution Research, 27(15), 18029-18043, https://doi.org/10.1007/s11356-020-08262-w Go to original source...
  2. Adebayo, T. S., Rjoub, H. (2021). Assessment of the role of trade and renewable energy consumption on consumption-based carbon emissions: Evidence from the MINT economies. Environmental Science and Pollution Research, 28(1), 58271-58283, https://doi.org/10.1007/s11356-021-14754-0 Go to original source...
  3. Adebayo, T. S. (2023). Towards unlocking the chain of sustainable development in the BRICS economies: Analysing the role of economic complexity and financial risk. Geological Journal, 58(5), 1810-1821, https://doi.org/10.1002/gj.4694 Go to original source...
  4. Adebayo, T. S., Kartal, M. T., Ağa, M., et al. (2023a). Role of country risks and renewable energy consumption on environmental quality: Evidence from MINT countries. Journal of Environmental Management, 327, 116884, https://doi.org/10.1016/j.jenvman.2022.116884 Go to original source...
  5. Adebayo, T. S., Kartal, M. T., Ağa, M. (2023b). Analyzing the co-movement between CO2 emissions and disaggregated nonrenewable and renewable energy consumption in BRICS: evidence through the lens of wavelet coherence. Environmental Science and Pollution Research, 30(13), 38921-38938, https://doi.org/10.1007/s11356-022-24707-w Go to original source...
  6. Ahakwa, I. (2023). The role of economic production, energy consumption, and trade openness in urbanization-environment nexus: a heterogeneous analysis on developing economies along the Belt and Road route. Environmental Science and Pollution Research, 30(36), 49798-49816, https://doi.org/10.1007/s11356-023-25597-2 Go to original source...
  7. Ahmad, M., Jiang, P., Majeed, A., et al. (2020). The dynamic impact of natural resources, technological innovations and economic growth on ecological footprint: An advanced panel data estimation. Resources Policy, 69, 101817, https://doi.org/10.1016/j.resourpol.2020.101817 Go to original source...
  8. Ahmed, Z., Zhang, B., Cary, M. (2021). Linking economic globalization, economic growth, financial development, and ecological footprint: Evidence from symmetric and asymmetric ARDL. Ecological Indicators, 121, 107060, https://doi.org/10.1016/j.ecolind.2020.107060 Go to original source...
  9. Akbar, M., Hussain, A., Akbar, A., et al. (2021). The dynamic association between healthcare spending, CO2 emissions, and human development index in OECD countries: Evidence from panel VAR model. Environment, Development and Sustainability, 23(7), 10470-10489, https://doi.org/10.1007/s10668-020-01066-5 Go to original source...
  10. Alola, A. A., Adebayo, T. S. (2023). The potency of resource efficiency and environmental technologies in carbon neutrality target for Finland. Journal of Cleaner Production, 389, 136127, https://doi.org/10.1016/j.jclepro.2023.136127 Go to original source...
  11. Anwar, M. N., Shabbir, M., Tahira, E., et al. (2021). Emerging challenges of air pollution and particulate matter in China, India, and Pakistan and mitigating solutions. Journal of Hazardous Materials, 416, 125851, https://doi.org/10.1016/j.jhazmat.2021.125851 Go to original source...
  12. Aydin, M., Turan, Y. E. (2020). The influence of financial openness, trade openness, and energy intensity on ecological footprint: revisiting the environmental Kuznets curve hypothesis for BRICS countries. Environmental Science and Pollution Research, 27, 43233-43245, https://doi.org/10.1007/s11356-020-10238-9 Go to original source...
  13. Baloch, M. A., Ozturk, I., Bekun, F. V., et al. (2021). Modeling the dynamic linkage between financial development, energy innovation, and environmental quality: Does globalization matter? Business Strategy and the Environment, 30(1), 176-184, https://doi.org/10.1002/bse.2615 Go to original source...
  14. Bernard, O. T. (2021). Constructing environmental degradation and (in)fertility in Yorùbá orature. Religion Compass, 15(10), e12418, https://doi.org/10.1111/rec3.12418 Go to original source...
  15. Beyene, S. D., Kotosz, B. (2020). Testing the environmental Kuznets curve hypothesis: An empirical study for East African countries. International Journal of Environmental Studies, 77(4), 636-654, https://doi.org/10.1080/00207233.2019.1695445 Go to original source...
  16. Bhuiyan, M. A., Jabeen, M., Zaman, K., et al. (2018). The impact of climate change and energy resources on biodiversity loss: Evidence from a panel of selected Asian countries. Renewable Energy, 117, 324-340, https://doi.org/10.1016/j.renene.2017.10.054 Go to original source...
  17. Bouchoucha, N. (2020). The Effect of Environmental Degradation on Health Status: Do Institutions Matter? Journal of the Knowledge Economy, 12, 1618-1634, https://doi.org/10.1007/s13132-020-00680-y Go to original source...
  18. Carré, J., Nicolas, G., Jessika, M., et al. (2017). Does air pollution play a role in infertility? A systematic review, Environmental Health, 16, 82, doi.org/10.1186/s12940-017-0291-8 Go to original source...
  19. Dong, H., Xue, M., Xiao, Y., et al. (2021). Do carbon emissions impact the health of residents? Considering China's industrialization and urbanization. Science of the Total Environment, 758, 143688, https://doi.org/10.1016/j.scitotenv.2020.143688 Go to original source...
  20. Dubo, T., Palomo, I., Camacho, L. L., et al. (2023). Nature-based solutions for climate change adaptation are not located where they are most needed across the Alps. Regional Environmental Change, 23(12), https://doi.org/10.1007/s10113-022-01998-w Go to original source...
  21. Egbetokun, S., Osabuohien, E., Akinbobola, T., et al. (2020). Environmental pollution, economic growth and institutional quality: Exploring the nexus in Nigeria. Management of Environmental Quality, 31(1), 18-31, https://doi.org/10.1108/MEQ-02-2019-0050 Go to original source...
  22. Ehigiamusoe, K. U., Lean, H. H. (2019). Effects of energy consumption, economic growth, and financial development on carbon emissions: evidence from heterogeneous income groups. Environmental Science and Pollution Research, 26, 22611-22624, https://doi.org/10.1007/s11356-019-05309-5 Go to original source...
  23. Gaskins, A. J., Tang, Z., Hood, R. B. (2021). Periconception air pollution, metabolomic biomarkers, and fertility among women undergoing assisted reproduction. Environment International, 155, 106666, https://doi.org/10.1016/j.envint.2021.106666 Go to original source...
  24. Gunderson, R. (2018). Global environmental governance should be participatory: Five problems of scale. International Sociology, 33(6), 715-737, https://doi.org/10.1177/0268580918792786 Go to original source...
  25. Hamdan, R., Rahim, R. A. (2018). Financial Development and Environmental Degradation in ASEAN-5. International Journal of Academic Research in Business and Social Sciences, 8(12), 14-32, https://doi.org/10.6007/IJARBSS/v8-i12/4987 Go to original source...
  26. Hayat, A. (2019). Foreign direct investments, institutional quality, and economic growth. The Journal of International Trade & Economic Development, 28(5), 561-579, https://doi.org/10.1080/09638199.2018.1564064 Go to original source...
  27. Hotelling, H. (1933). Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology, 24(6), 417-441, https://doi.org/10.1037/h0071325 Go to original source...
  28. Iorember, P. T., Goshit, G. G., Dabwor, D. T. (2020). Testing the nexus between renewable energy consumption and environmental quality in Nigeria: The role of broad-based financial development. African Development Review, 32(2), 163-175, https://doi.org/10.1111/1467-8268.12425 Go to original source...
  29. Irfan, M., Ullah, S., Razzaq, A., et al. (2023). Unleashing the dynamic impact of tourism industry on energy consumption, economic output, and environmental quality in China: A way forward towards environmental sustainability. Journal of Cleaner Production, 387, 135778, https://doi.org/10.1016/j.jclepro.2022.135778 Go to original source...
  30. Javed, A., Rapposelli, A., Khan, F., et al. (2023). The impact of green technology innovation, environmental taxes, and renewable energy consumption on ecological footprint in Italy: Fresh evidence from novel dynamic ARDL simulations. Technological Forecasting and Social Change, 191, 122534, https://doi.org/10.1016/j.techfore.2023.122534 Go to original source...
  31. Jegasothy, E., Hanigan, I. C., Buskirk, J. V., et al. (2023). Acute health effects of bushfire smoke on mortality in Sydney, Australia. Environment International, 171, 107684, https://doi.org/10.1016/j.envint.2022.107684 Go to original source...
  32. Jian, J., Fan, X., He, P., et al. (2019). The Effects of Energy Consumption, Economic Growth and Financial Development on CO2 Emissions in China: A VECM Approach. Sustainability, 11(18), 4850, https://doi.org/10.3390/su11184850 Go to original source...
  33. Kao, C. (1999). Spurious regression and residual-based tests for co-integration in panel data. Journal of Econometrics, 90(1), 1-44. Go to original source...
  34. Khan, A., Chenggang, Y., Bano, S., et al. (2020). The empirical relationship between environmental degradation, economic growth, and social well-being in Belt and Road Initiative countries. Environmental Science and Pollution Research, 27(24), 30800-30814, https://doi.org/10.1007/s11356-020-09058-8 Go to original source...
  35. Khan, S. A. R., Zhang, Y., Kumar, A., et al. (2020). Measuring the impact of renewable energy, public health expenditure, logistics, and environmental performance on sustainable economic growth. Sustainable Development, 28(4), 833-843, https://doi.org/10.1002/sd.2034 Go to original source...
  36. Khan, S., Khan, M. K., Muhammad, B. (2021). Impact of financial development and energy consumption on environmental degradation in 184 countries using a dynamic panel model. Environmental Science and Pollution Research, 28(8), 9542-9557, https://doi.org/10.1007/s11356-020-11239-4 Go to original source...
  37. Kirikkaleli, D., Adebayo, T. S. (2022). Political risk and environmental quality in Brazil: Role of green finance and green innovation. International Journal of Finance & Economics, https://doi.org/10.1002/ijfe.2732 Go to original source...
  38. Kirikkaleli, D., Güngör, H., Adebayo, T. S. (2022). Consumption-based carbon emissions, renewable energy consumption, financial development and economic growth in Chile. Business Strategy and the Environment, 31(3), 1123-1137, https://doi.org/10.1002/bse.2945 Go to original source...
  39. Koc, S., Bulus, G. C. (2020). Testing validity of the EKC hypothesis in South Korea: Role of renewable energy and trade openness. Environmental Science and Pollution Research, 27(23), 29043-29054, https://doi.org/10.1007/s11356-020-09172-7 Go to original source...
  40. Kucheryavyy, K., Lyn, G., Rodríguez-Clare, A. (2023). Grounded by Gravity: A Well-Behaved Trade Model with Industry-Level Economies of Scale. American Economic Journal: Macroeconomics, 15(2), 372-412, https://doi.org/10.1257/mac.20190156 Go to original source...
  41. Le, H. P., Ozturk, I. (2020). The impacts of globalization, financial development, government expenditures, and institutional quality on CO2 emissions in the presence of environmental Kuznets curve. Environmental Science and Pollution Research, 27(18), 22680-22697, https://doi.org/10.1007/s11356-020-08812-2 Go to original source...
  42. Li, J., Zhang, X., Ali, S., et al. (2020). Eco-innovation and energy productivity: New determinants of renewable energy consumption. Journal of Environmental Management, 271, 111028, https://doi.org/10.1016/j.jenvman.2020.111028 Go to original source...
  43. Majeed, M. T., Ozturk, I. (2020). Environmental degradation and population health outcomes: a global panel data analysis. Environmental Science and Pollution Research, 27(13), 15901-15911, doi.org/10.1007/s11356-020-08167-8 Go to original source...
  44. Marfatia, H. (2023). The financial market's ability to forecast economic growth: Information from sectoral movements. Journal of Economic Studies, https://doi.org/10.1108/JES-08-2022-0466 Go to original source...
  45. Meadows, D. H., Meadows, D. L., Randers, J., et al. (1972). The limits to growth: A report for the Club of Rome's project on the predicament of mankind. Falls Church: Potomac Associates. ISBN 0-87663-165-0. Go to original source...
  46. Mehmood, A., Siddique, H. M. A., Ali, A. (2022) Impact of health on worker productivity: evidence from South-Asia. Bulletin of Business and Economics, 11(2), 1-8.
  47. Misango, K. M. (2022). Health Status and Economic Growth in Kenya, Jurnal Ilmu Sosial, Manajemen, Akuntansi Dan Bisnis, 3(2), 72-82, https://doi.org/10.47747/jismab.v3i2.670 Go to original source...
  48. Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 6(2), 559-572, https://doi.org/10.1080/14786440109462720 Go to original source...
  49. Pedroni, P. (1999). Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors. Oxford Bulletin of Economics and Statistics, 61(51), 653-670. Go to original source...
  50. Pedroni, P. (2004). Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis. Econometric Theory, 20(3), 597-625. Go to original source...
  51. Pesaran, M. H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels. Cambridge Working Papers in Economics IZA DP No. 1240. Go to original source...
  52. Pesaran, M. H. (2007). A Simple Panel Unit Root Test in The Presence of Cross-Section Dependence. Journal of Applied Econometrics, 22(2), 265-312. Go to original source...
  53. Pesaran, M. H. (2021). General diagnostic tests for cross-sectional dependence. Empirical economics, 60, 13-50, https://doi.org/10.1007/s00181-020-01875-7 Go to original source...
  54. Pesaran, M. H., Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79-113, https://doi.org/10.1016/0304-4076(94)01644-F Go to original source...
  55. Pesaran, M. H., Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50-93, https://doi.org/10.1016/j.jeconom.2007.05.010 Go to original source...
  56. Pesaran, M. H., Shin, Y., Smith, R. P. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94(446), 621-634, https://doi.org/10.1080/01621459.1999.10474156 Go to original source...
  57. Phrakhruopatnontakitti, P., Watthanabut, B., Jermsittiparsert, K. (2020). Energy Consumption, Economic Growth and Environmental Degradation in 4 Asian Countries: Malaysia, Myanmar, Vietnam and Thailand. International Journal of Energy Economics and Policy, 10(2), 529-539, https://doi.org/10.32479/ijeep.9229 Go to original source...
  58. Qin, L., Raheem, R., Murshed, M., et al. (2021). Does financial inclusion limit carbon dioxide emissions? Analyzing the role of globalization and renewable electricity output. Sustainable Development, 29(6), 1-17, https://doi.org/10.1002/sd.2208 Go to original source...
  59. Rahman, A., Murad, S. M. W., Ahmad, F., et al. (2020). Evaluating the EKC Hypothesis for the BCIM-EC Member Countries under the Belt and Road Initiative. Sustainability, 12(4), 1478, https://doi.org/10.3390/su12041478 Go to original source...
  60. Rahman, M. M., Alam, K. (2022). Life expectancy in the ANZUS-BENELUX countries: The role of renewable energy, environmental pollution, economic growth and good governance. Renewable Energy, 190, 251-260, https://doi.org/10.1016/j.renene.2022.03.135 Go to original source...
  61. Raihan, A., Ibrahim, S., Muhtasim, D. A. (2023). Dynamic impacts of economic growth, energy use, tourism, and agricultural productivity on carbon dioxide emissions in Egypt. World Development Sustainability, 2, 100059, https://doi.org/10.1016/j.wds.2023.100059 Go to original source...
  62. Rajak, P., Roy, S., Ganguly, A., et al. (2023). Agricultural pesticides - friends or foes to biosphere? Journal of Hazardous Materials Advances, 10, 100264, https://doi.org/10.1016/j.hazadv.2023.100264 Go to original source...
  63. Shahbaz, M, Tiwari, A. K., Nasir, M. (2013). The effects of financial development, economic growth, coal consumption and trade openness on CO2 emissions in South Africa. Energy Policy, 61, 1452-1459, https://doi.org/10.1016/j.enpol.2013.07.006 Go to original source...
  64. Shahbaz, M., Khan, S., Tahir, M. I. (2013). The dynamic links between energy consumption, economic growth, financial development and trade in China: Fresh evidence from multivariate framework analysis. Energy Economics, 40, 8-21, https://doi.org/10.1016/j.eneco.2013.06.006 Go to original source...
  65. Singh, D., Singh, B. (2020). Investigating the impact of data normalization on classification performance, Applied Soft Computing, 97, 105524, https://doi.org/10.1016/j.asoc.2019.105524 Go to original source...
  66. Singh, V. P., Yadav, S., Yadav, K. K., et al. (2022). An Overview on Environmental Degradation and Mitigation. In: Environmental Degradation: Challenges and Strategies for Mitigation. Water Science and Technology Library, Cham: Springer, https://doi.org/10.1007/978-3-030-95542-7_1 Go to original source...
  67. Su, C.-W., Umar, M., Kirikkaleli, D., et al. (2023). Testing the asymmetric effect of financial stability towards carbon neutrality target: The case of Iceland and global comparison. Gondwana Research, 116, 125-135, https://doi.org/10.1016/j.gr.2022.12.014 Go to original source...
  68. Swamy, P. A. V. B. (1970). Efficient Inference in a Random Coefficient Regression Model. The Econometric Society, 38(2), 311-323, https://doi.org/10.2307/1913012 Go to original source...
  69. Wang, J., Dong, K. (2019). What drives environmental degradation? Evidence from 14 Sub-Saharan African countries. Science of the Total Environment, 656, 165-173, https://doi.org/10.1016/j.scitotenv.2018.11.354 Go to original source...
  70. Wang, Z., Bui, Q., Zhang, B., et al. (2020). Biomass energy production and its impacts on the ecological footprint: An investigation of the G7 countries. Science of the Total Environment, 743, 140741, https://doi.org/10.1016/j.scitotenv.2020.140741 Go to original source...
  71. Westerlund, J. (2007). Testing for Error Correction in Panel Data. Oxford Bulletin of Economics and Statistics, 69(6), 709-748, https://doi.org/10.1111/j.1468-0084.2007.00477.x Go to original source...
  72. Yasmeen, R., Li, Y., Hafeez, M., et al. (2018). The trade-environment nexus in light of governance: A global potential. Environmental Science and Pollution Research, 25, 34360-34379, https://doi.org/10.1007/s11356-018-3390-3 Go to original source...
  73. Yilmaz, O. S., Akyu, D. E., Aksel, M., et al. (2023). Evaluation of pre- and post-fire flood risk by analytical hierarchy process method: a case study for the 2021 wildfires in Bodrum, Turkey. Landscape Ecol Eng, 19(2), 271-288, https://doi.org/10.1007/s11355-023-00545-x Go to original source...
  74. Zeng, Y., Gu, D., Purser, J., et al. (2010). Associations of environmental factors with elderly health and mortality in China. Am J Public Health, 100(2), 298-305, https://doi.org/10.2105/AJPH.2008.154971 Go to original source...
  75. Zeqiraj, V., Sohag, K., Soytas, U. (2020). Stock market development and low-carbon economy: The role of innovation and renewable energy. Energy Economics, 91, 104908, https://doi.org/10.1016/j.eneco.2020.104908 Go to original source...
  76. Zhao, J., Zhou, N. (2021). Impact of human health on economic growth under the constraint of environment pollution. Technological Forecasting & Social Change, 169, 120828, https://doi.org/10.1016/j.techfore.2021.120828 Go to original source...
  77. Zhou, K., Yang, J., Yang, T., et al. (2023). Spatial and temporal evolution characteristics and spillover effects of China's regional carbon emissions. Journal of Environmental Management, 325, 116423, https://doi.org/10.1016/j.jenvman.2022.116423 Go to original source...

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.