Citation
Zeiri, Rihem and Benhadj Mbarek, Mohamed Hédi and Bouzir, Aida and Benammou, Saloua (2024) Estimation of the effects of multi-source pollutants on health expenditure: the case of france. Journal of Sustainability Science and Management (Malaysia), 19 (2). pp. 126-149. ISSN 2672-7226
Abstract
The objective of this study is to identify the main sectors that contribute to the emission of atmospheric pollutants (agricultural, industrial, residential, and transport) and to examine their effects on health expenditure in France. The partial least squares (PLS) regression method was adopted to obtain a reliable estimate, which focuses on six multi-source pollutants including nitrogen dioxide (NOₓ), non-methane volatile organic compounds (NMVOC), ammonia (NH₃), sulphur oxides (SO₂), and particulate matter (PM₂.₅ and PM₁₀) and on Health Expenditure (HE) as a dependent variable. The empirical results reveal several important findings. First, the models of the four sectors are all significant. Then, most pollutants negatively affect health expenditure, particularly the highest coefficient of NOₓ, which accounts for 0.81 in the residential sector, a coefficient of 0.29 in the agricultural sector, that of SO₂ emissions (0.76) in the industrial sector, and Particulate Matter in the transport sector with coefficients of 0.29 and 0.28. It was found that France applied strict measures to reduce multi-source pollutants and succeeded in strengthening its health system.
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Abstract
The objective of this study is to identify the main sectors that contribute to the emission of atmospheric pollutants (agricultural, industrial, residential, and transport) and to examine their effects on health expenditure in France. The partial least squares (PLS) regression method was adopted to obtain a reliable estimate, which focuses on six multi-source pollutants including nitrogen dioxide (NOₓ), non-methane volatile organic compounds (NMVOC), ammonia (NH₃), sulphur oxides (SO₂), and particulate matter (PM₂.₅ and PM₁₀) and on Health Expenditure (HE) as a dependent variable. The empirical results reveal several important findings. First, the models of the four sectors are all significant. Then, most pollutants negatively affect health expenditure, particularly the highest coefficient of NOₓ, which accounts for 0.81 in the residential sector, a coefficient of 0.29 in the agricultural sector, that of SO₂ emissions (0.76) in the industrial sector, and Particulate Matter in the transport sector with coefficients of 0.29 and 0.28. It was found that France applied strict measures to reduce multi-source pollutants and succeeded in strengthening its health system.
Additional Metadata
| Item Type: | Article |
|---|---|
| AGROVOC Term: | public health |
| AGROVOC Term: | agricultural pollution |
| AGROVOC Term: | industrial pollution |
| AGROVOC Term: | houses |
| AGROVOC Term: | transport |
| AGROVOC Term: | statistical data |
| AGROVOC Term: | statistical methods |
| AGROVOC Term: | pollutant emission |
| AGROVOC Term: | nitrogen dioxide |
| Geographical Term: | France |
| Uncontrolled Keywords: | Ammonium, nitrogen dioxide, non-methane volatile organic compound, particulate matter, sulphur oxides |
| Depositing User: | Mr. Khoirul Asrimi Md Nor |
| Date Deposited: | 01 Oct 2025 09:44 |
| Last Modified: | 01 Oct 2025 09:59 |
| URI: | http://webagris.upm.edu.my/id/eprint/2200 |
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