IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i13p5981-d1690524.html
   My bibliography  Save this article

Assessing and Projecting Long-Term Trends in Global Environmental Air Quality

Author

Listed:
  • Yongtao Jin

    (School of Economics, Beijing Institute of Technology, Beijing 100081, China)

Abstract

Air quality and environmental issues have gained attention from countries and organizations worldwide over the past several decades. In recent years, carbon peak and carbon neutrality have been mentioned at many international conferences and meetings aimed at reducing and controlling environmental challenges. This study focuses on trend analysis and expectations for the duration of control for environmental air quality (EAQ) indicators, assesses the current EAQ conditions across global countries, and presents reasonable suggestions for environmental control. The study begins by examining the annual, per capita, and per square meter ( m 2 ) carbon dioxide (CO 2 ) emission peak and standardizations, where carbon standardization is a replacement for carbon neutrality. A similar quantitative methodology was employed to assess classical air quality factors such as sulfur dioxide (SO 2 ) and nitrogen oxides (NO x ). The findings suggest that the average control year length (ACYL) of NO x is longer than that of SO 2 , and the ACYL of SO 2 is, in turn, longer than that of CO 2 . From an energy structure perspective, regressions results indicate that biofuel and wind power contribute to improvements in EAQ, while coal, oil, and gas power exert negative impacts. Moreover, a long-term EAQ model utilizing an adjusted max–min normalization method is proposed to integrate various EAQ indicators. This study also presents an EAQ ranking for global countries and recommends countries with critical EAQ challenges. The results demonstrate that it is plausible to control EAQ factors at an excellent level with advances in control technologies and effective measures by government, industries, and individuals.

Suggested Citation

  • Yongtao Jin, 2025. "Assessing and Projecting Long-Term Trends in Global Environmental Air Quality," Sustainability, MDPI, vol. 17(13), pages 1-23, June.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:5981-:d:1690524
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/13/5981/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/13/5981/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Akshaya Jha & Gordon Leslie, 2025. "Start-up Costs and Market Power: Lessons from the Renewable Energy Transition," American Economic Review, American Economic Association, vol. 115(2), pages 690-726, February.
    2. Alvarez-Herranz, Agustin & Balsalobre-Lorente, Daniel & Shahbaz, Muhammad & Cantos, José María, 2017. "Energy innovation and renewable energy consumption in the correction of air pollution levels," Energy Policy, Elsevier, vol. 105(C), pages 386-397.
    3. A. Myrick Freeman III, 2002. "Environmental Policy Since Earth Day I: What Have We Gained?," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 125-146, Winter.
    4. Martinez-Zarzoso, Inmaculada & Bengochea-Morancho, Aurelia, 2004. "Pooled mean group estimation of an environmental Kuznets curve for CO2," Economics Letters, Elsevier, vol. 82(1), pages 121-126, January.
    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. Sinha, Avik & Shahbaz, Muhammad & Balsalobre, Daniel, 2017. "Exploring the Relationship between Energy Usage Segregation and Environmental Degradation in N-11 Countries," MPRA Paper 81212, University Library of Munich, Germany, revised 07 Sep 2017.
    2. Wei, Jian & Zhou, Yuqi & Wang, Yuan & Miao, Zhuang & Guo, Yupeng & Zhang, Hao & Li, Xueting & Wang, Zhipeng & Shi, Zongmo, 2023. "A large-sized thermoelectric module composed of cement-based composite blocks for pavement energy harvesting and surface temperature reducing," Energy, Elsevier, vol. 265(C).
    3. Ehigiamusoe, Kizito Uyi & Lean, Hooi Hooi & Smyth, Russell, 2020. "The moderating role of energy consumption in the carbon emissions-income nexus in middle-income countries," Applied Energy, Elsevier, vol. 261(C).
    4. Raffin, Natacha & Seegmuller, Thomas, 2014. "Longevity, pollution and growth," Mathematical Social Sciences, Elsevier, vol. 69(C), pages 22-33.
    5. Kazemzadeh, Emad & Fuinhas, José Alberto & Koengkan, Matheus & Shadmehri, Mohammad Taher Ahmadi, 2023. "Relationship between the share of renewable electricity consumption, economic complexity, financial development, and oil prices: A two-step club convergence and PVAR model approach," International Economics, Elsevier, vol. 173(C), pages 260-275.
    6. Udi Joshua & Festus V. Bekun & Samuel A. Sarkodie, 2020. "New Insight into the Causal Linkage between Economic Expansion, FDI, Coal consumption, Pollutant emissions and Urbanization in South Africa," Working Papers 20/011, European Xtramile Centre of African Studies (EXCAS).
    7. Caglar, Abdullah Emre & Daştan, Muhammet & Avci, Salih Bortecine, 2024. "Persistence of disaggregate energy RD&D expenditures in top-five economies: Evidence from artificial neural network approach," Applied Energy, Elsevier, vol. 365(C).
    8. John Loomis & Bryon Allen, 2008. "Using Non Market Valuation to Inform the Choice Between Permits and Fees in Environmental Regulation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(3), pages 329-337, July.
    9. Karimkashi, Shervin & Amidpour, Majid, 2012. "Total site energy improvement using R-curve concept," Energy, Elsevier, vol. 40(1), pages 329-340.
    10. Khribich, Abir & Kacem, Rami H. & Dakhlaoui, Ahlem, 2021. "Causality nexus of renewable energy consumption and social development: Evidence from high-income countries," Renewable Energy, Elsevier, vol. 169(C), pages 14-22.
    11. Francisco García-Lillo & Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa, 2023. "Renewable Energies and Sustainable Development: A Bibliometric Overview," Energies, MDPI, vol. 16(3), pages 1-22, January.
    12. Dongchuan Wang & Wengang Chen & Wei Wei & Broxton W. Bird & Lihui Zhang & Mengqin Sang & Qianqian Wang, 2016. "Research on the Relationship between Urban Development Intensity and Eco-Environmental Stresses in Bohai Rim Coastal Area, China," Sustainability, MDPI, vol. 8(4), pages 1-15, April.
    13. Isma il Tijjani Idris & Sabri Nayan, 2017. "A Pooled Mean Group Approach to the Joint Effects of Oil Price Changes and Environmental Risks on Non-Performing Loans: Evidence from Organisation of the Petroleum Exporting the Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 345-351.
    14. Armenia Androniceanu & Irina Georgescu & Ionuț Nica & Nora Chiriță, 2023. "A Comprehensive Analysis of Renewable Energy Based on Integrating Economic Cybernetics and the Autoregressive Distributed Lag Model—The Case of Romania," Energies, MDPI, vol. 16(16), pages 1-28, August.
    15. Torres-Brito, David Israel & Cruz-Aké, Salvador & Venegas-Martínez, Francisco, 2023. "Impacto de los contaminantes por gases de efecto invernadero en el crecimiento económico en 86 países (1990-2019): Sobre la curva inversa de Kuznets [Impact of the Effect of Greenhouse Gas Pollutan," MPRA Paper 119031, University Library of Munich, Germany.
    16. Wang, Xiaomin & Tian, Guanghui & Yang, Dongyang & Zhang, Wenxin & Lu, Debin & Liu, Zhongmei, 2018. "Responses of PM2.5 pollution to urbanization in China," Energy Policy, Elsevier, vol. 123(C), pages 602-610.
    17. Matias Piaggio & Emilio Padilla & Carolina Roman, 2015. "The long-run relationshiop between C02 emissions and economic activity in a small open economy: Uruguay 1882-2010," Working Papers wpdea1506, Department of Applied Economics at Universitat Autonoma of Barcelona.
    18. Shao, Shuai & Yang, Lili & Yu, Mingbo & Yu, Mingliang, 2011. "Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009," Energy Policy, Elsevier, vol. 39(10), pages 6476-6494, October.
    19. Liping Liao & Chukun Huang & Minzhe Du, 2022. "The Effect of Energy Quota Trading on Energy Saving in China: Insight from a Quasi-Natural Experiment," Energies, MDPI, vol. 15(22), pages 1-17, November.
    20. Wang, Jun-Zhuo & Feng, Gen-Fu & Chang, Chun-Ping, 2024. "How does political instability affect renewable energy innovation?," Renewable Energy, Elsevier, vol. 230(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jsusta:v:17:y:2025:i:13:p:5981-:d:1690524. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.