Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220842424> ?p ?o ?g. }
- W4220842424 endingPage "1070" @default.
- W4220842424 startingPage "1049" @default.
- W4220842424 abstract "Purpose The purpose of the study is to examine the relationship between air pollution and life expectancy considering the roles of institutional quality, agricultural output, foreign direct investment (FDI) and other socio-economic variables in Nigeria from 1981Q1 to 2019Q4. Design/methodology/approach The study employed spliced quarterly data from annual series collected from the World Bank development indicators and Central Bank of Nigeria. The dynamic multivariate models were analysed using the vector error correction mechanism (VECM), variance decomposition and Granger causality techniques. Findings The VECM result indicated a statistically significant adverse effect of air pollution on life expectancy. However, institutional quality, gross domestic product per capita, agricultural output, government social expenditure and school enrolment rate ameliorate the adverse health effects of air pollution, while FDI had mixed effects on life expectancy at different significance levels and at varying lag lengths. The Granger causality result revealed a uni-directional causality from air pollution to life expectancy; bidirectional causal chain between agriculture, FDI, government social expenditure and life expectancy, while a uni-directional causal linkage run from life expectancy to income per head and from school enrolment to life expectancy respectively. However, there is no evidence of causation between institutional quality and life expectancy due to weak institutional quality, but foreign direct invest causes carbon emission in a uni-directional manner in line with pollution haven hypothesis. Research limitations/implications The study's modelling is limited by not considering the resource curse variable in the model due to paucity of data. Nigeria is the biggest crude oil exporter in Africa and ranks 13th globally with daily output of about 2.4 m barrels. Thus, the negation of resource curse in air pollution–life expectancy nexus de-emphasises the effectiveness of rich resources on health and environment. Future studies could address this limitation by incorporating resource curse in environmental-health models for Nigeria. Practical implications It is imperative for the country to adopt stringent anti-air pollution strategies that would establish a balance between FDI attraction and agricultural expansion to the benefits of her citizens' longevity. Also, education should be considered as a strategic action to enhance life expectancy through expansion in the provision, accessibility and affordability to improved school enrolment rate. The choice of quarterly time series over annual data helped to establish the current relationship between air pollution and life expectancy using efficient estimators. Originality/value The study contributes to literature by disaggregating yearly series into quarterly series, which has implications for the efficiency of the estimates, unlike earlier studies which ignored this fundamental process. The result of this study produced reliable policy direction for improvement in life expectancy in an emerging economy since quarterly estimates are more robust and reliable for forecasting than its yearly counterpart. The outcome of the study extended the original tenets of the Grossman's health stock theory using the environmental Kuznets curve (EKC) and pollution haven hypotheses (PHH)." @default.
- W4220842424 created "2022-04-03" @default.
- W4220842424 creator A5005916133 @default.
- W4220842424 date "2022-03-28" @default.
- W4220842424 modified "2023-10-18" @default.
- W4220842424 title "Air pollution trajectories and life expectancy in Nigeria" @default.
- W4220842424 cites W1920515862 @default.
- W4220842424 cites W1963912781 @default.
- W4220842424 cites W1988066329 @default.
- W4220842424 cites W2003366520 @default.
- W4220842424 cites W2019210793 @default.
- W4220842424 cites W2034707435 @default.
- W4220842424 cites W2059279781 @default.
- W4220842424 cites W2082172489 @default.
- W4220842424 cites W2082662545 @default.
- W4220842424 cites W2099342129 @default.
- W4220842424 cites W2110603299 @default.
- W4220842424 cites W2111972671 @default.
- W4220842424 cites W2153562738 @default.
- W4220842424 cites W2162356694 @default.
- W4220842424 cites W2171465583 @default.
- W4220842424 cites W2174079145 @default.
- W4220842424 cites W2287856939 @default.
- W4220842424 cites W2301667537 @default.
- W4220842424 cites W2312176781 @default.
- W4220842424 cites W2312473089 @default.
- W4220842424 cites W2328555787 @default.
- W4220842424 cites W2405019496 @default.
- W4220842424 cites W2429352071 @default.
- W4220842424 cites W2495145857 @default.
- W4220842424 cites W2551234371 @default.
- W4220842424 cites W2609963187 @default.
- W4220842424 cites W2611403332 @default.
- W4220842424 cites W2736995640 @default.
- W4220842424 cites W2754940949 @default.
- W4220842424 cites W2756461661 @default.
- W4220842424 cites W2759725084 @default.
- W4220842424 cites W2765726697 @default.
- W4220842424 cites W2769642482 @default.
- W4220842424 cites W2772964793 @default.
- W4220842424 cites W2775726064 @default.
- W4220842424 cites W2791774800 @default.
- W4220842424 cites W2801605586 @default.
- W4220842424 cites W2809627019 @default.
- W4220842424 cites W2887700604 @default.
- W4220842424 cites W2902899139 @default.
- W4220842424 cites W2911776431 @default.
- W4220842424 cites W2921919960 @default.
- W4220842424 cites W2935792564 @default.
- W4220842424 cites W2950992051 @default.
- W4220842424 cites W2978800472 @default.
- W4220842424 cites W2989721133 @default.
- W4220842424 cites W3000339120 @default.
- W4220842424 cites W3010831243 @default.
- W4220842424 cites W3021712257 @default.
- W4220842424 cites W3028970690 @default.
- W4220842424 cites W3039178861 @default.
- W4220842424 cites W3049073740 @default.
- W4220842424 cites W3081516562 @default.
- W4220842424 cites W3092414459 @default.
- W4220842424 cites W3117708525 @default.
- W4220842424 cites W3122563893 @default.
- W4220842424 cites W3179991212 @default.
- W4220842424 cites W3181826100 @default.
- W4220842424 cites W4250171390 @default.
- W4220842424 cites W4252307431 @default.
- W4220842424 cites W4256625360 @default.
- W4220842424 doi "https://doi.org/10.1108/ijse-06-2021-0351" @default.
- W4220842424 hasPublicationYear "2022" @default.
- W4220842424 type Work @default.
- W4220842424 citedByCount "4" @default.
- W4220842424 countsByYear W42208424242023 @default.
- W4220842424 crossrefType "journal-article" @default.
- W4220842424 hasAuthorship W4220842424A5005916133 @default.
- W4220842424 hasConcept C114350782 @default.
- W4220842424 hasConcept C127598652 @default.
- W4220842424 hasConcept C129824826 @default.
- W4220842424 hasConcept C133925201 @default.
- W4220842424 hasConcept C139719470 @default.
- W4220842424 hasConcept C149782125 @default.
- W4220842424 hasConcept C162324750 @default.
- W4220842424 hasConcept C2779845407 @default.
- W4220842424 hasConcept C2908647359 @default.
- W4220842424 hasConcept C33842695 @default.
- W4220842424 hasConcept C4249254 @default.
- W4220842424 hasConcept C50522688 @default.
- W4220842424 hasConcept C71924100 @default.
- W4220842424 hasConcept C89715816 @default.
- W4220842424 hasConcept C99454951 @default.
- W4220842424 hasConceptScore W4220842424C114350782 @default.
- W4220842424 hasConceptScore W4220842424C127598652 @default.
- W4220842424 hasConceptScore W4220842424C129824826 @default.
- W4220842424 hasConceptScore W4220842424C133925201 @default.
- W4220842424 hasConceptScore W4220842424C139719470 @default.
- W4220842424 hasConceptScore W4220842424C149782125 @default.
- W4220842424 hasConceptScore W4220842424C162324750 @default.
- W4220842424 hasConceptScore W4220842424C2779845407 @default.
- W4220842424 hasConceptScore W4220842424C2908647359 @default.