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In this study, the efficacy of globalization in influencing income growth within the Sub-Saharan Africa (SSA) from 1982 to 2020 is being examined. The "Konjunkturforschungsstelle Globalization Index" (KOFGI) was used to measure globalization at the overall, economic, social, and political level, while income growth was captured using the growth rate of gross national income per capita. The data employed in the analysis were gotten from World Bank and KOFGI database. The analysis follows a sequential order of unit root test based on the augmented Dickey-Fuller, autoregressive distributed lag (ARDL) bounds test for cointegration, and error correction model. The unit root test revealed that the order of integration of the variables were mixed at levels and first difference. The bounds test showcased that all the dimensions of globalization exhibited long-run association with income growth. The short-run result indicated that globalization wielded a negative and significant effect on income growth. A unit percent increase in globalization put forth a 1.3818% decrease in income growth. In the long-run, globalization however exerted a positive but insignificant sway on income growth in the SSA. The implication of this is that though globalization poses a short-run negative impact on income growth, the SSA can move along the learning curve to derive some long-term benefits that emanate from global interactions. It becomes pertinent for the SSA to see globalization as a long-term avenue for propelling income growth, bearing in mind that the short-run negative effect can be corrected periodically as the economy moves along the learning curve of globalization.

We conduct a hierarchical meta-regression analysis to review 87 empirical studies that report 769 estimates for the effects of government size on economic growth. We follow best-practice recommendations for meta-analysis of economics research and address issues of publication selection bias and heterogeneity. When measured as the ratio of total government expenditures or government consumption expenditures to GDP, government size is associated negatively with per-capita income growth in developed countries. However, the partial correlation coefficient is insignificant when the evidence relates to developing countries. When the evidence for both country types is pooled together, the partial correlation is insignificant in the case of total government expenditures but negative and significant in the case of government consumption. We also report that government size is associated with less adverse effects when primary studies control for endogeneity and are published in journals and more recently, but it is associated with more adverse effects when primary studies use averaged cross-section data. These findings indicate that the relationship between government size and growth is context-specific and the existing evidence is insufficient to establish a negative causal effect due to: (i) potential biases induced by reverse causality between government size and per-capita income; (ii) lack of control for country fixed effects in cross-section studies; and (iii) absence of control for non-linear relationships between government size and per-capita GDP growth.

We conduct a hierarchical meta-regression analysis to review 87 empirical studies that report 769 estimates for the effects of government size on economic growth. We follow best-practice recommendations for meta-analysis of economics research, and address issues of publication selection bias and heterogeneity. When size is measured as the ratio of total government expenditures to GDP, the partial correlation between government size and per-capita GDP growth is negative in developed countries, but insignificant in developing countries. When size is measured as the ratio of consumption expenditures to GDP, the partial correlation is negative in both developed and developing countries, but the effect in developing countries is less adverse. We also report that government size is associated with less adverse effects when primary studies control for endogeneity and are published in journals and more recently, but it is associated with more adverse effects when primary studies use cross-section data. Our findings indicate that the relationship between government size and per-capita GDP growth is context-specific and likely to be biased due to endogeneity between the level of per-capita income and government expenditures. ; This paper synthesize the evidence on the relationship between government size and growth, using a hierarchical meta-regression model. It provides a systematic assessment of the literature and offers some insights into the heterogeneity of the existing findings.

We conduct a hierarchical meta-regression analysis to review 87 empirical studies that report 769 estimates for the effects of government size on economic growth. We follow best-practice recommendations for meta-analysis of economics research, and address issues of publication selection bias and heterogeneity. When size is measured as the ratio of total government expenditures to GDP, the partial correlation between government size and per-capita GDP growth is negative in developed countries, but insignificant in developing countries. When size is measured as the ratio of consumption expenditures to GDP, the partial correlation is negative in both developed and developing countries, but the effect in developing countries is less adverse. We also report that government size is associated with less adverse effects when primary studies control for endogeneity and are published in journals and more recently, but it is associated with more adverse effects when primary studies use cross-section data. Our findings indicate that the relationship between government size and per-capita GDP growth is context-specific and likely to be biased due to endogeneity between the level of per-capita income and government expenditures.

Using a two-sector growth accounting model, the authors measure the total contribution (including both positive and negative effects) of population cum labour growth on per capita income and sectoral output growth. With respect to per capita income growth, the total contribution of population cum labour growth tended to be negative in the decades 1880-1930 and positive in the decades 1930-70, with theexception of 1940-50. (DÜI-Sen)

ABSTRACTThis paper examines the sources of regional convergence in per capita incomes over the last four decades. Growth in per capita income is decomposed into two major components: (1) growth in employment rates and (2) growth in wage rates per worker. Using annual data from the Bureau of Economic Analysis and the Bureau of Labor Statistics, the paper finds that the observed convergence in per capita incomes of sates was largely due to convergence in employment rates; wage rates either did not converge or did so weakly. Employing an instrumental variables technique, the paper finds that rapid growth in the work force with relatively low levels of human capital in initially poor states was a depressing influence on wage rate growth in these states, and was a major reason for the relatively slow convergence in per capita incomes.