Abstract
The relationship between particulate matter and economic growth, as well as the relationship between economic growth and Greenhouse Gas emissions, has been the topic of considerable investigations over the past two decades. Kuwait has a hot, dry, and desert climate that makes the outside air affected by natural and other unnatural factors. Fine Particulate Matter (PM2.5) samples were monthly collected for a 41-years (from 1980 to 2021) over the state of Kuwait. This study presents a detailed investigation of possible correlation and regression analysis between PM2.5 mass column concentration and socioeconomic factors, and they are as follows: GDP per Capita (GDPP), Greenhouse Gas emissions, and population density during the same period. The correlation between per Capita GDP and PM2.5 concentration is statistically positive and supported at the highest level of significance. The Greenhouse Gas emissions and population density proportion exhibit significant positive effects, demonstrating that these two factors strongly affect PM2.5 pollution. The results of the regression analysis for Kuwait shows a significant positive relationship between GDP per Capita and PM2.5, all of which remained significant at the 1% level. The consequence of the increase in per Capita GDP, according to the results reported in the study, should be an increase in the level of PM2.5 column density and vice versa. A significant positive correlation with a value of 0.8805 was found between Physiological Equivalent Temperature (PET) in extremely hot years and Gross Domestic Product (GDP). Human activities lead to an environmental imbalance, and this will certainly affect future generations, so what is required to do is to feel a moral responsibility towards the environment around us.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs00024-024-03506-z/MediaObjects/24_2024_3506_Fig1_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs00024-024-03506-z/MediaObjects/24_2024_3506_Fig2_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs00024-024-03506-z/MediaObjects/24_2024_3506_Fig3_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs00024-024-03506-z/MediaObjects/24_2024_3506_Fig4_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs00024-024-03506-z/MediaObjects/24_2024_3506_Fig5_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs00024-024-03506-z/MediaObjects/24_2024_3506_Fig6_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs00024-024-03506-z/MediaObjects/24_2024_3506_Fig7_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs00024-024-03506-z/MediaObjects/24_2024_3506_Fig8_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs00024-024-03506-z/MediaObjects/24_2024_3506_Fig9_HTML.png)
Similar content being viewed by others
Availability of Data and Materials
The climatic data used in this research paper obtained from (a) MERRA-2 satellite model data provided by National Aeronautics and Space Administration (NASA), through its Earth science research program; (b) World Development Indicators issued by the World Bank; and (c) AgERA5-Reanalysis (agricultural and agro-ecological studies) datasets. The study's supporting data and environmental metadata were obtained from freely accessible online sources via the websites of the models. All data are available from the corresponding author, [Hasan Aldashti], upon request.
References
Acaravci, A., & Ozturk, I. (2010). On the relationship between energy consumption, CO2 emissions and economic growth. Energy, 35, 5412–5420.
Al-Hemoud, A., Gasana, J., Al-Dabbous, A., Alajeel, A., Al-Shatti, A., Behbehani, W., & Malak, M. (2019). Exposure levels of air pollution (PM2.5) and associated health risk in Kuwait. Environmental Research, 179, 108730. https://doi.org/10.1016/j.envres.2019.108730
Al-Hemouda, A., Al-Khayat, A., Al-Dashti, H., Li, J., Alahmad, B., & Koutrakis, P. (2021). PM25 and PM10 during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates. Environmental Challenges, 5, 100215.
Alolayan, M., Brown, K. W., Evans, J. S., Bouhamra, W. S., & Koutrakis, P. (2013). Source apportionment of fine particles in Kuwait City. Science of the Total Environment, 448, 14–25.
Alvarez, H. B., Echeverria, R. S., Alvarez, P. S., & Krupa, S. (2013). Air quality standards for particulate matter (pm) at high altitude cities. Environmental Pollution, 173, 255–256.
Asafu-Adjaye, J. (2000). The relationship between energy consumption, energy prices and economic growth: Time series evidence from asian develo** countries. Energy Economics, 22, 615–625.
Bai, S. Q. (2019). Exploring the increase in the share of fiscal general public budget revenue in GDP. Economic Management, 756, 155–156.
Basahi, J. M., Ismail, I. M., Hassan, I. A., Almeelbi, T., Haiba, N. S., & Hammam, E. (2017). Total suspended particulate matter (TSP) and its associated heavy metals in atmosphere on the Western Coast of Saudi Arabia. Polish Journal of Environmental Studies, 26, 2419–2424.
Caccarelli, A. A., Hales, N., Burnett, R. T., Jerrett, M., Mix, C., Dockery, D. W., & Pope, C. A. (2016). Particulate air pollution, exceptional aging, and rates of centenarians: A nationwide analysis of the United States, 1980–2010. Environmental Health Perspectives, 124, 1744–1750.
Close, J., Cao, C., Yang, J., Li, R., Chen, B., Chen, D., et al. (2011). Association between long-term exposure to outdoor air pollution and mortality in China: A cohort study. Journal of Hazardous Materials, 186, 1594–1600. https://doi.org/10.1016/j.jhazmat.2010.12.036
Dinda, S. (2004). Environmental kuznets curve hypothesis: a survey. Ecological Economics, 49(4), 431–455.
Ding, L., Zhu, D., Peng, D., & Zhao, Y. (2017). Air pollution and asthma attacks in children: A case-crossover analysis in the city of Chongqing China. Environmental Pollution, 220, 348–353. https://doi.org/10.1016/j.envpol.2016.09.070
Dominici, F., Greenstone, M., & Sunstein, C. R. (2014). Particulate matter. Science, 344, 257.
Duan, Z., Han, X., Bai, Z., & Yuan, Y. (2015). Fine particulate air pollution and hospitalization for pneumonia: A case-crossover study in Shijiazhuang. China. Air Qual Atmos Health., 9, 723–733. https://doi.org/10.1007/s11869-015-0383-y
Ghali, K. H., & El-Sakka, M. I. (2004). Energy use and output growth in Canada: A multivariate cointegration analysis. Energy Economics, 26, 225–238.
Guan, D., et al. (2014). The socioeconomic drivers of China’s primary PM2.5 emissions. Environmental Research Letters., 9, 024010.
Jiang, P., Yang, J., Huang, C., & Liu, H. (2018). The contribution of socioeconomic factors to PM2.5 pollution in urban China. Environmental Pollution, 233, 977–985. https://doi.org/10.1016/j.envpol.2017.09.090
Khalil, M. A. K., Butenhof, C. L., Porter, W. C., Almazroui, M., Alkhalaf, A., & Al-Sahaf, M. S. (2016). Air quality in Yanbu, Saudi Arabia. Journal of the Air and Waste Management Association, 66, 341–355.
Lequiller, F., & Blades, D. (2006). Understanding National Accounts. OECD Organization for Economic Co-operation and Development.
Li, J., Garshick, E., Al-Hemoud, A., Huang, S., & Koutrakis, P. (2020). Impacts of meteorology and vegetation on surface dust concentrations in Middle Eastern countries. Science of the Total Environment, 712, 136597.
Maji, K. J., Arora, M., & Dikshit, A. K. (2018). Premature mortality attributable to PM25 exposure and future policy roadmap for “airpocalypse” affected Asian mega-cities. Process Safety and Environmental Protection, 118, 371–383. https://doi.org/10.1016/j.psep.2018.07.009
Matzarakis, A., Rutz, F., & Mayer, H. (2007). Modelling Radiation fluxes in simple and complex environments – Application of the RayMan model. International Journal of Biometeorology, 51, 323–334.
Matzarakis, A., Mayer, H. (1996). Another kind of environmental stress: thermal stress. Newsletters no.18, 7–10. WHO collaborating center for air quality management and air pollution control.
Pao, H. T., & Tsai, C. M. (2010). CO2 Emissions, energy consumption and economic growth in BRIC countries. Energy Policy, 38, 7850–7878.
Pope, C. A., & Dockery, D. W. (2006). Health effects of fine particulate air pollution: Lines that connect. Journal of the Air & Waste Management Association, 56, 709–742.
Randles, C. A., da Silva, A. M., Buchard, V., Colarco, P. R., Darmenov, A., Govindaraju, R., et al. (2017). The MERRA-2 aerosol reanalysis, 1980 onward Part I: System description and data assimilation evaluation. Journal of Climate, 30(17), 6823–6850.
Saeed, T. M., Al-Dashti, H., & Spyrou, C. (2014). Aerosol’s optical and physical characteristics and direct radiative forcing during a shamal dust storm, a case study. Atmospheric Chemistry and Physics, 14, 3751–3769.
Shao, S., Li, X., Cao, J. H., & Yang, L. L. (2016). China’s economic policy choices for governing smog pollution based on spatial spillover effects. Economic Research Journal, 51, 73–88.
Solomon, S., Plattner, G., Knutti, R., & Friedlingstein, P. (2009). Irreversible climate change due to carbon dioxide emissions. Proceedings of the National Academy of Sciences, 106(6), 1704–1709.
Tsiouri, K., Konstantinos, E., & Prashant, K. (2015). Concentrations, sources and exposure risks associated with particulate matter in the Middle East Area - a review. Air Quality Atmosphere & Health, 8, 67–80.
UNEP, WMO, UNCCD. (2016). Global assessment of sand and dust storms. United Nations Environment Programme, Nairobi.
Veselovskii, I., Goloub, P., Podvin, T., Tanre, D., da Silva, A., Colarco, P., Castellanos, P., Korenskiy, M., Hu, Q., Whiteman, D. N., Pérez-Ramírez, D., Augustin, P., Fourmentin, M., & Kolgotin, A. (2018). Characterization of smoke and dust episode over West Africa: Comparison of MERRA-2 modeling with multiwavelength Mie-Raman lidar observations. Atmospheric Measurement Techniques, 11, 949–969. https://doi.org/10.5194/amt-11-949
Wei, F., Li, S., Liang, Z., Huang, A., Wang, Z., Shen, J., Sun, F., Wang, Y., Wang, H., & Li, S. (2021). Analysis of spatial 712 heterogeneity and the scale of the impact of changes in PM2.5 concentrations in major Chinese cities between 2005 713 and 2015. Energies, 14, 3232. https://doi.org/10.3390/en1411323214323210.3390/en14113232
Xu, X., Gonzalez, J. E., Shen, S., Miao, S., & Dou, J. (2018). Impacts of urbanization and air pollution on building energy demands–Bei**g case study. Applied Energy, 225, 98–109.
Ye, Y., Bryan, B., Zhang, J., Connor, J., Chen, L., Qin, Z., & He, M. (2018). Changes in land-use and ecosystem services in the Guangzhou-Foshan Metropolitan Area, China from 1990 to 2010: Implications for sustainability under rapid urbanization. Ecological Indicators, 93, 930–941.
Yuan, Y., Alahmad, B., Kang, C.-M., Al-Marri, F., Kommula, V., Bouhamra, W., & Koutrakis, P. (2020). Dust events and indoor air quality in residential homes in Kuwait. International Journal of Environmental Research and Public Health, 17, 2433. https://doi.org/10.3390/ijerph17072433
Zhang, Y. W., & Gu, Z. L. (2013). Air quality by urban design. Nature Geoscience, 6, 506. https://doi.org/10.1038/ngeo1869
Zhou, Z., Tan, Z. B., Yu, X. H., Zhang, R. T., Wei, Y. M., Zhang, M. J., et al. (2019). The health benefits and economic effects of cooperative PM2.5 control: A cost-effectiveness game model. Journal of Cleaner Production, 228, 1572–1585. https://doi.org/10.1016/j.jclepro.2019.04.381
Funding
This work was not supported financially in any way. No funding was received to help in the preparation of this manuscript. Kuwait Meteorology, Kuwait Institute for Scientific Research.
Author information
Authors and Affiliations
Contributions
The study's inception and design involved input from all authors. Material preparation and data collection were performed by [Hasan Aldashti] and [Mohamad Magdy Abdel Wahab]; reviewing by [Mohamed F. Yassin]; the first draft of the manuscript was written by [Zaher Alabadla]. All authors provided feedback on earlier drafts of the work. The final manuscript was read and approved by all authors.
Corresponding author
Ethics declarations
Conflict of Interest
The authors declare that they have no conflict of interest.
Ethical Approval
All authors have read, understood, and complied with the declaration on “Ethical Responsibilities of Authors” as specified in the Instructions for Authors. They are also aware that changes to authorship cannot be made after the work has been submitted.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Aldashti, H., AlAbadla, Z., Abdel Wahab, M.M. et al. Impacts of Socioeconomic Development on Fine Particulate Matter (PM2.5) and Human Comfort in the State of Kuwait. Pure Appl. Geophys. 181, 1907–1918 (2024). https://doi.org/10.1007/s00024-024-03506-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00024-024-03506-z