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An Economic Analysis of the Environmental Impact of PM 2.5 Exposure on Health Status in Three Northwestern Mexican Cities

Author

Listed:
  • Luis Armando Becerra-Pérez

    (Faculty of Economics and Social Sciences, Autonomous University of Sinaloa, Culiacan 80010, Mexico)

  • Roberto Alonso Ramos-Álvarez

    (Program in Social Sciences, Autonomous University of Sinaloa, Culiacan 80010, Mexico)

  • Juan J. DelaCruz

    (Department of Economics and Business, Lehman College and CUNY Mexican Studies Institute, New York, NY 10468, USA)

  • Benjamín García-Páez

    (Faculty of Economics, Division of Postgraduate Studies, National Autonomous University of Mexico, Mexico City 04510, Mexico)

  • Federico Páez-Osuna

    (Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autonoma de Mexico, Mazatlan 82000, Mexico)

  • J. Guillermo Cedeño-Laurent

    (T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA)

  • Elena Boldo

    (National Epidemiology Centre, Carlos IIII Health Institute (ISCIII), Centre for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain)

Abstract

Introduction: This study provides an economic assessment of the health effects due to exposure to particulate matter PM 2.5 in three medium-size cities of northwestern Mexico: Los Mochis, Culiacan and Mazatlán. People in these cities are exposed to high pollutant concentrations that exceed limits suggested in domestic and international guidelines. PM 2.5 is an air contaminant negatively associated with people’s health when is highly concentrated in the atmosphere; its diameter is below 2.5 µm and causes the air to appear hazy when levels are elevated. To account for the economic impact of air pollution, a Health Impact Assessment (HIA) was used by the means of the European Aphekom Project. We figured the cost-savings of complying with current environmental standards and computed gains in life expectancy, total avoidable premature mortality, preventable cardiovascular disease, and the economic costs of air pollution related to PM 2.5 . A formal analysis of air pollution epidemiology is not pursued in this paper. Results: The cost of reducing PM 2.5 pollution associated with negative health outcomes was based on two different scenarios: Official Mexican Standard (NOM, Spanish acronym) and World Health Organization (WHO) environmental standards. The mean PM 2.5 concentrations in 2017 were 22.8, 22.4 and 14.1 µg/m 3 for Los Mochis, Mazatlán and Culiacan, respectively. Conclusions: The mean avoidable mortality for all causes associated to PM 2.5 exposure in these cities was 638 for the NOM scenario (i.e., with a reduction to 12 µg/m 3 ) compared to 739 for the WHO scenario (reduction to 10 µg/m 3 ). Complying with the WHO guideline of 10 µg/m 3 in annual PM 2.5 mean would add up to 15 months of life expectancy at age 30, depending on the city. The mean economic cost per year of the PM 2.5 effects on human life in these three cities was USD 600 million (NOM scenario) and USD 695 million (WHO scenario). Thus, effective public health and industrial policy interventions to improve air quality are socially advantageous and cost-saving to promote better health.

Suggested Citation

  • Luis Armando Becerra-Pérez & Roberto Alonso Ramos-Álvarez & Juan J. DelaCruz & Benjamín García-Páez & Federico Páez-Osuna & J. Guillermo Cedeño-Laurent & Elena Boldo, 2021. "An Economic Analysis of the Environmental Impact of PM 2.5 Exposure on Health Status in Three Northwestern Mexican Cities," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10782-:d:645346
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    1. Burkhardt, Jesse & Bayham, Jude & Wilson, Ander & Carter, Ellison & Berman, Jesse D. & O'Dell, Katelyn & Ford, Bonne & Fischer, Emily V. & Pierce, Jeffrey R., 2019. "The effect of pollution on crime: Evidence from data on particulate matter and ozone," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    2. Susann Henschel & Xavier Querol & Richard Atkinson & Marco Pandolfi & Ariana Zeka & Alain Le Tertre & Antonis Analitis & Klea Katsouyanni & Olivier Chanel & Mathilde Pascal & Catherine Bouland & Danie, 2013. "Ambient air SO2 patterns in 6 European cities," Post-Print hal-01499609, HAL.
    3. Hammitt James K. & Robinson Lisa A, 2011. "The Income Elasticity of the Value per Statistical Life: Transferring Estimates between High and Low Income Populations," Journal of Benefit-Cost Analysis, De Gruyter, vol. 2(1), pages 1-29, January.
    4. Adrián Giovani Trejo-González & Horacio Riojas-Rodriguez & José Luis Texcalac-Sangrador & Carlos Manuel Guerrero-López & Karla Cervantes-Martínez & Magali Hurtado-Díaz & Luz Angélica de la Sierra-de l, 2019. "Quantifying health impacts and economic costs of PM2.5 exposure in Mexican cities of the National Urban System," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(4), pages 561-572, May.
    5. Jin, Yana & Andersson, Henrik & Zhang, Shiqiu, 2020. "Do preferences to reduce health risks related to air pollution depend on illness type? Evidence from a choice experiment in Beijing, China," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    6. Olivier Chanel & Susann Henschel & Patrick G. Goodman & Antonis Analitis & Richard Atkinson & Alain Le Tertre & Ariana Zeka & S. Médina, 2014. "Economic valuation of the mortality benefits of a regulation on SO2 in 20 European cities," Post-Print hal-01463922, HAL.
    7. World Bank, 2020. "World Development Report 2020," World Bank Publications - Books, The World Bank Group, number 32437, December.
    8. Mathilde Pascal & Magali Corso & Olivier Chanel & Christophe Declercq & Chiara Badaloni & Giulia Cesaroni & Susann Henschel & Kadri Meister & Daniela Haluza & Piedad Martin-Olmedo & Sylvia Medina, 2013. "Assessing the public health impacts of urban air pollution in 25 European cities: Results of the Aphekom project," Post-Print hal-01500894, HAL.
    9. Susann Henschel & Richard Atkinson & Ariana Zeka & Alain Tertre & Antonis Analitis & Klea Katsouyanni & Olivier Chanel & Mathilde Pascal & Bertil Forsberg & Sylvia Medina & Patrick Goodman, 2012. "Air pollution interventions and their impact on public health," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(5), pages 757-768, October.
    10. Hammitt James K. & Robinson Lisa A, 2011. "The Income Elasticity of the Value per Statistical Life: Transferring Estimates between High and Low Income Populations," Journal of Benefit-Cost Analysis, De Gruyter, vol. 2(1), pages 1-29, January.
    11. J. Lelieveld & J. S. Evans & M. Fnais & D. Giannadaki & A. Pozzer, 2015. "The contribution of outdoor air pollution sources to premature mortality on a global scale," Nature, Nature, vol. 525(7569), pages 367-371, September.
    12. Heyes, Anthony & Zhu, Mingying, 2019. "Air pollution as a cause of sleeplessness: Social media evidence from a panel of Chinese cities," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
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