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International Journal of
            Population Studies                                             Environmental impact on Ukraine’s quality of life



              Endogeneity concerns were addressed by incorporating   as well as environmental protection, were statistically
            lagged variables, such as FDI with a 1-year lag, to capture   significant, indicating that these environmental factors
            delayed effects and reduce simultaneity bias. In addition,   play a critical role in influencing mortality. The signs
            differencing the data helped mitigate issues related to   of these coefficients support the hypothesis that higher
            non-stationarity, further enhancing the model’s reliability.   pollution levels are associated with increased mortality,
            These diagnostic checks and methodological adjustments   while stronger environmental protection efforts are linked
            ensure that the model’s results are robust and credible,   to lower mortality rates. This reinforces the idea that
            providing a strong foundation for analyzing the impact   economic welfare and environmental quality are essential
            of socioeconomic and environmental factors on mortality   in improving public health and reducing mortality in the
            rates.                                             region.
              These diagnostic test results underscore the rigor   Notably, water pollution has more than twice the
            of the analytical framework and the attention given to   impact on mortality compared to air pollution. This result
            addressing potential statistical and methodological issues.   aligns with previous studies (Kjellstrom et al., 2006), which
            The Breusch–Pagan test for heteroscedasticity yielded a   demonstrate that air pollution contributes up to 0.6% of
            test statistic value of 2.71, which was compared to the Chi-  the disease burden in developing regions, while water
            squared critical value of 0.4378 at 6° of freedom. As the test   pollution may contribute as much as 0.9%.
            statistic exceeds the critical value, there is weak evidence   The indicator of foreign investment in the region was
            suggesting potential heteroscedasticity in the model.  also statistically significant and showed a positive sign. This
              The results of regression analysis for the general model   finding supports the hypothesis that foreign investments,
            are presented in Table 3.                          particularly in industries that exploit the region’s rich
                                                               natural resources, often contribute to environmental
              An analysis  of the 2001  – 2020  indicators  for the
            Carpathian region reveals a strong correlation between   pollution and, consequently, higher mortality rates.
            improved  socioeconomic conditions and reduced     Meanwhile, the healthcare expenditure coefficient was
            mortality rates, supporting the expectation that higher   positive but not  statistically significant, suggesting that
            living standards contribute to better health outcomes.   increased healthcare spending alone does not necessarily
            Specifically, the data indicate that as socioeconomic   lead to improved health outcomes.
            conditions improve, mortality rates decline, emphasizing   In addition, separate analyses of the same set of factors
            the critical role of welfare in public health. Furthermore, the   for each oblast in the Carpathian region were conducted.
            coefficients for variables related to water and air pollution,   The results (Table 4) are largely consistent with the overall
                                                               model, reinforcing the broader findings of this study.

            Table 3. Impact of environmental and economic factors on   Notable differences were observed in the coefficient for
            mortality in the Carpathian region                 FDI in Ivano-Frankivska oblast. Unlike the other oblasts
            Variable       General model   Std      p‑value    and the Carpathian region as a whole, FDI growth in this
                                                               oblast was associated with a reduction in mortality rates,
            GRPt              −0.005       0.00      0.001     indicating a positive impact on the population’s quality of
            FDIRt−1           0.004        0.00      0.093     life. This discrepancy may be attributed to the structure
            PolAirt           0.315        0.01      0.033     of foreign investments in the region and warrants further
            PolWatert         0.893        0.01      0.003     investigation. While most studies suggest that FDI inflows
            Env               −0.078       0.01      0.045     generally enhance life expectancy through direct and
               t
            Healtht           0.017        0.14      0.909     indirect channels (Aalipour et al., 2023; Beşe & Kalayci,
            Constant          11.153        8.5      0.002     2021), some evidence indicates that foreign investment
            R-squares                    0.763                 can negatively affect public health and increase mortality,
                                                               particularly in middle-  and high-income countries
            Observations                  20                   (Chiappini  et  al., 2022, pp.  24 – 26). This suggests that,
            Source: Authors’ own calculations.                 while FDI generally promotes economic growth and
            Abbreviations: Envt: Government expenditure on environmental   improved living standards, it may also introduce adverse
            protection in the Carpathian region; FDIRt−1: Amount of foreign
            direct investment in the region, with a 1-year lag; GRP: Gross regional   effects, such as environmental degradation or inequitable
            product; Health: Government expenditures on healthcare in the   resource distribution.
            Carpathian region; PolAirt: Emission of pollutants into the atmosphere
            in the Carpathian region; PolWatert: Discharge of contaminated return   The analysis of healthcare expenditures in Lvivska and
            water into surface runoff in the region; Std: Standard deviation; t: Time.  Chernivetska oblasts reveals an unexpected trend: higher


            Volume 11 Issue 4 (2025)                       125                        https://doi.org/10.36922/ijps.4487
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