IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0262802.html
   My bibliography  Save this article

Determinants of life expectancy in most polluted countries: Exploring the effect of environmental degradation

Author

Listed:
  • Mohammad Mafizur Rahman
  • Rezwanul Rana
  • Rasheda Khanam

Abstract

Background: Better understanding of the determinants of national life expectancy is crucial for economic development, as a healthy nation is a prerequisite for a wealthy nation. Many socioeconomic, nutritional, lifestyle, genetic and environmental factors can influence a nation’s health and longevity. Environmental degradation is one of the critical determinants of life expectancy, which is still under-researched, as the literature suggests. Objectives: This study aims to investigate the determinants of life expectancy in 31 world’s most polluted countries with particular attention on environmental degradation using the World Bank annual data and British Petroleum data over the period of 18 years (2000–2017). Methods: The empirical investigation is based on the model of Preston Curve, where panel corrected standard errors (PCSE) and feasible general least square (FGLS) estimates are employed to explore the long-run effects. Pairwise Granger causality test is also used to have short-run causality among the variables of interest, taking into account the cross-sectional dependence test and other essential diagnostic tests. Results: The results confirm the existence of the Preston Curve, implying the positive effect of economic growth on life expectancy. Environmental degradation is found as a threat while health expenditure, clean water and improved sanitation affect the life expectancy positively in the sample countries. The causality test results reveal one-way causality from carbon emissions to life expectancy and bidirectional causalities between drinking water and life expectancy and sanitation and life expectancy. Conclusion: Our results reveal that environmental degradation is a threat to having improved life expectancy in our sample countries. Based on the results of this study, we recommend that: (1) policy marker of these countries should adopt policies that will reduce carbon emissions and thus will improve public health and productivity; (2) environment-friendly technologies and resources, such as renewable energy, should be used in the production process; (3) healthcare expenditure on a national budget should be increased; and (4) clean drinking water and basic sanitation facilities must be ensured for all people.

Suggested Citation

  • Mohammad Mafizur Rahman & Rezwanul Rana & Rasheda Khanam, 2022. "Determinants of life expectancy in most polluted countries: Exploring the effect of environmental degradation," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-16, January.
  • Handle: RePEc:plo:pone00:0262802
    DOI: 10.1371/journal.pone.0262802
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0262802
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0262802&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0262802?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pierre‐Yves Crémieux & Marie‐Claude Meilleur & Pierre Ouellette & Patrick Petit & Martin Zelder & Ken Potvin, 2005. "Public and private pharmaceutical spending as determinants of health outcomes in Canada," Health Economics, John Wiley & Sons, Ltd., vol. 14(2), pages 107-116, February.
    2. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    3. Richard Auster & Irving Leveson & Deborah Sarachek, 1969. "The Production of Health, an Exploratory Study," Journal of Human Resources, University of Wisconsin Press, vol. 4(4), pages 411-436.
    4. Sen, Amartya, 1998. "Mortality as an Indicator of Economic Success and Failure," Economic Journal, Royal Economic Society, vol. 108(446), pages 1-25, January.
    5. Abdalali Monsef & Abolfazl Shahmohammadi Mehrjardi, 2015. "Determinants of Life Expectancy: A Panel Data Approach," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(11), pages 1251-1257, November.
    6. Luo, Weixiang & Xie, Yu, 2020. "Economic growth, income inequality and life expectancy in China," Social Science & Medicine, Elsevier, vol. 256(C).
    7. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    8. Fredrick Ikpesu & Olusegun Vincent & Olamitunji Dakare, 2019. "Growth effect of trade and investment in Sub-Saharan Africa countries: Empirical insight from panel corrected standard error (PCSE) technique," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1607127-160, January.
    9. Pierre‐Yves Crémieux & Pierre Ouellette & Caroline Pilon, 1999. "Health care spending as determinants of health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 8(7), pages 627-639, November.
    10. Hitiris, Theo & Posnett, John, 1992. "The determinants and effects of health expenditure in developed countries," Journal of Health Economics, Elsevier, vol. 11(2), pages 173-181, August.
    11. Santosh Kumar & Sebastian Vollmer, 2013. "Does Access To Improved Sanitation Reduce Childhood Diarrhea In Rural India?," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 410-427, April.
    12. Abdalali Monsef & Abolfazl Shahmohammadi Mehrjardi, 2015. "Determinants of Life Expectancy: A Panel Data Approach," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(11), pages 1251-1257.
    13. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    14. Kasman, Adnan & Duman, Yavuz Selman, 2015. "CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: A panel data analysis," Economic Modelling, Elsevier, vol. 44(C), pages 97-103.
    15. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pedro Antonio Martín Cervantes & Nuria Rueda López & Salvador Cruz Rambaud, 2019. "A Causal Analysis of Life Expectancy at Birth. Evidence from Spain," IJERPH, MDPI, vol. 16(13), pages 1-14, July.
    2. Pedro Antonio Martín Cervantes & Nuria Rueda López & Salvador Cruz Rambaud, 2020. "The Relative Importance of Globalization and Public Expenditure on Life Expectancy in Europe: An Approach Based on MARS Methodology," IJERPH, MDPI, vol. 17(22), pages 1-20, November.
    3. Fateh Belaïd & Maha Harbaoui Zrelli, 2016. "Renewable and Non-Renewable Electricity Consumption, Carbon Emissions and GDP: Evidence From Mediterranean Countries," Working Papers 1037, Economic Research Forum, revised Aug 2016.
    4. Belaïd, Fateh & Zrelli, Maha Harbaoui, 2019. "Renewable and non-renewable electricity consumption, environmental degradation and economic development: Evidence from Mediterranean countries," Energy Policy, Elsevier, vol. 133(C).
    5. Dogan, Eyup & Aslan, Alper, 2017. "Exploring the relationship among CO2 emissions, real GDP, energy consumption and tourism in the EU and candidate countries: Evidence from panel models robust to heterogeneity and cross-sectional depen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 239-245.
    6. Pedro Antonio Martín Cervantes & Nuria Rueda López & Salvador Cruz Rambaud, 2020. "Life Expectancy at Birth in Europe: An Econometric Approach Based on Random Forests Methodology," Sustainability, MDPI, vol. 12(1), pages 1-17, January.
    7. George Halkos & Iacovos Psarianos, 2016. "Exploring the effect of including the environment in the neoclassical growth model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 18(3), pages 339-358, July.
    8. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225, March.
    9. Ghazala Aziz & Zouheir Mighri, 2022. "Carbon Dioxide Emissions and Forestry in China: A Spatial Panel Data Approach," Sustainability, MDPI, vol. 14(19), pages 1-40, October.
    10. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    11. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2021. "The effects of renewable energy, spatial spillover of CO2 emissions and economic freedom on CO2 emissions in the EU," Renewable Energy, Elsevier, vol. 169(C), pages 293-307.
    12. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225.
    13. Hyunsoo Kang, 2021. "CO 2 Emissions Embodied in International Trade and Economic Growth: Empirical Evidence for OECD and Non-OECD Countries," Sustainability, MDPI, vol. 13(21), pages 1-20, November.
    14. Lili Guo & Sihang Guo & Mengqian Tang & Mengying Su & Houjian Li, 2022. "Financial Support for Agriculture, Chemical Fertilizer Use, and Carbon Emissions from Agricultural Production in China," IJERPH, MDPI, vol. 19(12), pages 1-19, June.
    15. Erdoğan, Seyfettin & Yıldırım, Durmuş Çağrı & Gedikli, Ayfer, 2020. "Natural resource abundance, financial development and economic growth: An investigation on Next-11 countries," Resources Policy, Elsevier, vol. 65(C).
    16. Gabriel Bruneau & Kevin Moran, 2017. "Exchange rate fluctuations and labour market adjustments in Canadian manufacturing industries," Canadian Journal of Economics, Canadian Economics Association, vol. 50(1), pages 72-93, February.
    17. Dehghan Shabani, Zahra & Shahnazi, Rouhollah, 2019. "Energy consumption, carbon dioxide emissions, information and communications technology, and gross domestic product in Iranian economic sectors: A panel causality analysis," Energy, Elsevier, vol. 169(C), pages 1064-1078.
    18. Declan French, 2012. "Causation between health and income: a need to panic," Empirical Economics, Springer, vol. 42(2), pages 583-601, April.
    19. Mehdi Nemati & Wuyang Hu & Michael Reed, 2019. "Are free trade agreements good for the environment? A panel data analysis," Review of Development Economics, Wiley Blackwell, vol. 23(1), pages 435-453, February.
    20. Halkos, George, 2011. "Economy - environment relationship: The case of sulphur emissions," MPRA Paper 45480, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0262802. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.