IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v23y2021i11d10.1007_s10668-021-01352-w.html
   My bibliography  Save this article

Does haze pollution affect public health in China from the perspective of environmental efficiency?

Author

Listed:
  • Dongdong Ma

    (Henan University of Economics and Law)

  • Feng He

    (University of Science and Technology Beijing)

  • Guifang Li

    (Henan Agricultural University)

  • Guangjun Deng

    (Hubei Normal University)

Abstract

This study attempts to introduce haze pollution into the environmental efficiency evaluation framework and measures PM2.5 environmental efficiency in China during 2001–2017 based on the slack-based measure (SBM)-undesirable model. The results show that the PM2.5 environmental efficiency value is 0.707 in China with a trend of slow decline over time, and there is regional diversity in PM2.5 environmental efficiency, with eastern, central and western values of 0.912, 0.554 and 0.601, respectively. Furthermore, this study examines the impact of PM2.5 environmental efficiency (EFF) on public health. The empirical findings indicate that EFF has a significant positive impact on public health. That is, if EFF is increased by 1%, respiratory disease mortality per 10,000 persons will be decreased by 2% provided that all other variables remain unchanged. In addition, medical technical personal in healthcare institutions per 1000 persons (RYS), population density (POP) and urbanization level (CITY) play an active role in promoting the level of public health. However, healthcare expenditure as a percentage of the per capita disposable income of rural households (NC), health expenditure as a percentage of GDP in fiscal expenditure (GJK) and the per capita tobacco expenditure of urban households (YC) all hinder the improvement of public health. Finally, the paper fails to observe a significant relationship between healthcare expenditure as a percentage of per capita disposable income of urban households (CZ), the enrolment rate of school-age children (EDU) and public health. Finally, this paper provides policy recommendations on controlling haze pollution, developing an efficient economy and improving public health in the future.

Suggested Citation

  • Dongdong Ma & Feng He & Guifang Li & Guangjun Deng, 2021. "Does haze pollution affect public health in China from the perspective of environmental efficiency?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16343-16357, November.
  • Handle: RePEc:spr:endesu:v:23:y:2021:i:11:d:10.1007_s10668-021-01352-w
    DOI: 10.1007/s10668-021-01352-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01352-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-021-01352-w?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. ZHANG Ning & HU Angang & ZHENG Jinghai, 2007. "Using Data Envelopment Analysis approach to estimate the health production efficiencies in China," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 2(1), pages 1-23, March.
    2. Cropper, M L, 1981. "Measuring the Benefits from Reduced Morbidity," American Economic Review, American Economic Association, vol. 71(2), pages 235-240, May.
    3. Fang-Rong Ren & Ze Tian & Yu-Ting Shen & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Energy, CO 2 , and AQI Efficiency and Improvement of the Yangtze River Economic Belt," Energies, MDPI, vol. 12(4), pages 1-17, February.
    4. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.
    5. Huang, Wei, 2015. "Understanding the Effects of Education on Health: Evidence from China," IZA Discussion Papers 9225, Institute of Labor Economics (IZA).
    6. Panle Jia Barwick & Shanjun Li & Deyu Rao & Nahim Bin Zahur, 2018. "The Morbidity Cost of Air Pollution: Evidence from Consumer Spending in China," Working Papers id:12825, eSocialSciences.
    7. Sun, Cong & Kahn, Matthew E. & Zheng, Siqi, 2017. "Self-protection investment exacerbates air pollution exposure inequality in urban China," Ecological Economics, Elsevier, vol. 131(C), pages 468-474.
    8. Chen, Shiyi, 2015. "Environmental pollution emissions, regional productivity growth and ecological economic development in China," China Economic Review, Elsevier, vol. 35(C), pages 171-182.
    9. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "China's regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution," Energy Economics, Elsevier, vol. 49(C), pages 239-256.
    10. Michael Grossman, 1972. "The Demand for Health: A Theoretical and Empirical Investigation," NBER Books, National Bureau of Economic Research, Inc, number gros72-1.
    11. Jiaxiu He & Haoming Liu & Alberto Salvo, 2019. "Severe Air Pollution and Labor Productivity: Evidence from Industrial Towns in China," American Economic Journal: Applied Economics, American Economic Association, vol. 11(1), pages 173-201, January.
    12. Zahra Nasrollahi & Mohadeseh-sadat Hashemi & Saeed Bameri & Vahid Mohamad Taghvaee, 2020. "Environmental pollution, economic growth, population, industrialization, and technology in weak and strong sustainability: using STIRPAT model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1105-1122, February.
    13. Huanbi Yue & Chunyang He & Qingxu Huang & Dan Yin & Brett A. Bryan, 2020. "Stronger policy required to substantially reduce deaths from PM2.5 pollution in China," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    14. Qing Zhao & Chih-Hung Yuan, 2020. "Did Haze Pollution Harm the Quality of Economic Development?—An Empirical Study Based on China’s PM2.5 Concentrations," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    15. Yantuan Yu & Jianhuan Huang & Nengsheng Luo, 2018. "Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China," Sustainability, MDPI, vol. 10(2), pages 1-20, February.
    16. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    17. Shixiong Cheng & Wei Liu & Kai Lu, 2018. "Economic Growth Effect and Optimal Carbon Emissions under China’s Carbon Emissions Reduction Policy: A Time Substitution DEA Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    18. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dongdong Ma & Guifang Li & Feng He, 2021. "Exploring PM2.5 Environmental Efficiency and Its Influencing Factors in China," IJERPH, MDPI, vol. 18(22), pages 1-15, November.

    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. Dongdong Ma & Guifang Li & Feng He, 2021. "Exploring PM2.5 Environmental Efficiency and Its Influencing Factors in China," IJERPH, MDPI, vol. 18(22), pages 1-15, November.
    2. Toshiyuki Sueyoshi & Yan Yuan & Aijun Li & Daoping Wang, 2017. "Social Sustainability of Provinces in China: A Data Envelopment Analysis (DEA) Window Analysis under the Concepts of Natural and Managerial Disposability," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    3. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    4. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    5. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    6. Zhiming Yang & Zhen Wang & Xiao-Chen Yuan & Yu Qi & Yunquan Zhang & Weiqing Wang & Fanglin He & Jing Li, 2022. "Does income inequality aggravate the impacts of air pollution on physical health? Evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2120-2144, February.
    7. He, Guojun & Liu, Tong & Zhou, Maigeng, 2020. "Straw burning, PM2.5, and death: Evidence from China," Journal of Development Economics, Elsevier, vol. 145(C).
    8. Na Wang & Yongrok Choi, 2019. "Comparative Analysis of the Energy and CO 2 Emissions Performance and Technology Gaps in the Agglomerated Cities of China and South Korea," Sustainability, MDPI, vol. 11(2), pages 1-25, January.
    9. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    10. Aizhen Zhang & Aijun Li & Yaping Gao, 2018. "Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis," Sustainability, MDPI, vol. 10(3), pages 1-24, March.
    11. Kristiaan Kerstens & Jafar Sadeghi & Ignace Van de Woestyne, 2020. "Plant capacity notions in a non-parametric framework: a brief review and new graph or non-oriented plant capacities," Annals of Operations Research, Springer, vol. 288(2), pages 837-860, May.
    12. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    13. Galama, Titus & Kapteyn, Arie, 2011. "Grossman’s missing health threshold," Journal of Health Economics, Elsevier, vol. 30(5), pages 1044-1056.
    14. Huayong Niu & Zhishuo Zhang & Manting Luo, 2022. "Evaluation and Prediction of Low-Carbon Economic Efficiency in China, Japan and South Korea: Based on DEA and Machine Learning," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    15. Wang, Qian & Wang, Jun & Gao, Feng, 2021. "Who is more important, parents or children? Economic and environmental factors and health insurance purchase," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    16. Qingyou Yan & Fei Zhao & Xu Wang & Tomas Balezentis, 2021. "The Environmental Efficiency Analysis Based on the Three-Step Method for Two-Stage Data Envelopment Analysis," Energies, MDPI, vol. 14(21), pages 1-14, October.
    17. Lin, Boqiang & Zhu, Junpeng, 2019. "Impact of energy saving and emission reduction policy on urban sustainable development: Empirical evidence from China," Applied Energy, Elsevier, vol. 239(C), pages 12-22.
    18. Colmer, Jonathan & Lin, Dajun & Liu, Siying & Shimshack, Jay, 2021. "Why are pollution damages lower in developed countries? Insights from high-Income, high-particulate matter Hong Kong," Journal of Health Economics, Elsevier, vol. 79(C).
    19. Tony Flegg & David O. Allen, 2006. "Does it matter How We Measure Congestion?," Working Papers 0614, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    20. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.

    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:spr:endesu:v:23:y:2021:i:11:d:10.1007_s10668-021-01352-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.