Catalysts of Economic Welfare in Africa: A Cross-Sectional Autoregressive Distributed Lag Approach
Kuti Ayomide Oluwafunmisho (),
Aderogba Taiwo Adebusuyi (),
Ezenwa Ndubuisi Johnbosco () and
Quadri Rasheed Adegboyega ()
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Kuti Ayomide Oluwafunmisho: Department of Economics, Olabisi Onabanjo University, Nigeria
Aderogba Taiwo Adebusuyi: Department of Economics, Olabisi Onabanjo University, Nigeria
Ezenwa Ndubuisi Johnbosco: Alex Ekwueme Federal University, Nigeria
Quadri Rasheed Adegboyega: Poznań University of Life Sciences, Poland
Acta Universitatis Sapientiae, Economics and Business, 2023, vol. 11, issue 1, 18-41
Abstract:
This study provides empirical perspectives on the catalysts of economic welfare in Africa, drawing inference from macroeconomic and non-macroeconomic factors. Leveraging a sample of a balanced panel dataset of 35 countries across Africa, this study provides novel applications of the cross-sectional autoregressive distributed lag methodology to economic welfare analysis in Africa. Issues of cross-sectional dependence and slope homogeneity were accounted for whilst establishing causal relationships between economic welfare proxied by the Human Development Index and macroeconomic and non-macroeconomic drivers of welfare. Based on cross-sectional autoregressive distributed lag estimation results, a 1% increase in economic growth was shown to account for a 0.233 percent and 0.253 percent increase in economic welfare in the long run and short run respectively. In addition, technology accounted for a 1.81 percent increase in economic welfare in the long run. The outcome of the Dumitrescu–Hurlin causality test demonstrated causality between trade openness, government effectiveness, economic growth, and economic welfare.
Keywords: Africa; CS-ARDL; Human Development Index; economic welfare; poverty (search for similar items in EconPapers)
JEL-codes: C33 D60 F43 I32 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:auseab:v:11:y:2023:i:1:p:18-41:n:10
DOI: 10.2478/auseb-2023-0002
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