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Global Health Economics and
            Sustainability
                                                                      Energy consumption and life expectancy in West Africa


            to have a positive relationship with LEXP. A panel ARDL   data series are stationary at level I(0), first difference I(1),
            model was used to estimate the results. Pre-test analyses,   or both. It can also verify if the time-series data exhibit
            such as descriptive analysis, unit root test, and cointegration   cointegration. Table 2 shows that H  of no cointegration
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            test were conducted to obtain the time series and descriptive   among the variables was rejected because the probability
            properties of the data and avoid spurious estimates.  value was less than the 5% significance level.
            4. Analysis and interpretation                       It was confirmed that there is a long-run relationship
                                                               between the dependent and independent variables; hence,
            4.1. Results of the stationarity test              we next estimated the long- and short-run results.

            Table  1 presents the results of the augmented Dickie–  4.3. Evaluation of estimates
            Fuller (ADF) test comprising Fisher’s Chi-square and Choi
            Z-statistics at 5% critical value.                 Table  3  presents  the  long-  and  short-run  results  of  the
                                                               ARDL model.
              Decision rule: Reject the null hypothesis (H ) if the
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            probabilities obtained from Fisher’s Chi-square and Choi   4.4. Discussion
            Z-statistic are greater than what is obtained from the ADF   Panel A of  Table  3 shows that  REC  in lower-middle-
            test at the 5% significance level; otherwise, accept H .   income West African countries significantly and positively
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            Table 1 shows that at the first difference, the probability   affected life expectancy in the long run. This implies that
            values of LEXP, REC, NREC, GDPpc, and FP obtained from   efficient/modern energy sources are not detrimental to
            Fisher’s Chi-square and Choi Z-statistic were significant at   the environment as they do not emit harmful pollutants.
            less than the 5% significance level. Therefore, we rejected   A  greater reliance on renewable energy would result in
            H  of LEXP, REC, NREC, and FP and accepted H , meaning    reduced air pollution and improved air quality, leading
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            that  the  variables  at  first  difference  were  stationary.   to a lower incidence of health-related problems. This
            Furthermore, the probability values of  HEXP and  CPI   may increase life expectancy as clean air promotes better
            obtained  from Fisher’s Chi-square  and Choi  Z-statistic   respiratory  health.  Several  communities,  especially  in
            were less than the 5% significance level. Therefore, we   the  developing  world,  lack  reliable  access  to  electricity.
            rejected H  of HEXP and CPI and accepted H  in that they   Transitioning to  renewable  energy  can provide these
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            have no unit root problems and are integrated at order zero.  communities  a more  consistent  and  affordable  energy
                                                               supply, positively affecting healthcare, education, sanitation,
            4.2. Panel ARDL cointegration test
                                                               and overall quality of life. Better access to energy can lead
            Pesaran  et al. (2001) developed the ARDL to estimate   to improved healthcare facilities, better refrigeration for
            relationships among variables. ARDL is used when the   vaccines and medicines, and enhanced communication
            Table 1. Results of the panel unit root (ADF) test

            Variables  ADF Chi‑square & ADF   Prob.    ADF Chi‑square &   Prob.     Order of integration  Remarks
                       Z‑statistis at level           ADF Z‑statistic at level
            LEXP             3.48817         0.9675     5.22091−4.20572   0.00002        1 (1)        Stationary
                             1.45025         0.9265                       0.00005
            REC              4.29591         0.9330     45.7701−4.96379   0.00003        1 (1)        Stationary
                             1.47421         0.9298                       0.00007
            NREC          10.7879−0.79912    0.3743     44.6879−5.63088   0.00006        1 (1)        Stationary
                                             0.2121                       0.00004
            GDPpc         9.93549−0.52612    0.4462     47.9049−5.19037   0.00008        1 (1)        Stationary
                                             0.2994                       0.00002
            HEXP          16.0301−1.72279    0.0188                                      1 (0)        Stationary
                                             0.0425
            CPI           18.7265−2.21565    0.0439                                      1 (0)        Stationary
                                             0.0134
            FP               5.47272         0.8815     42.3002−4.56944   0.00002        1 (1)        Stationary
                             1.61847         0.9472                       0.00004
            Note: ADF: Augmented Dickie-Fuller. Source: Authors’ computation, 2024, using Eviews 9.  Abbreviation: GDP: Gross domestic product.




            Volume 3 Issue 1 (2025)                         7                        https://doi.org/10.36922/ghes.3518
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