Impact of non-oil sectors on GDP/capita in selected African countries: evidence from panel analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oluyemi Theophilus Adeosun ◽  
Isaac Idris Gbadamosi
Keyword(s):  
Economic Growth ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
African Countries ◽  
Causality Test ◽  
Content Type ◽  
Development Indicators ◽  
Agriculture Industry ◽  
Integration Test ◽  
The Impact

PurposeThe purpose of this paper is to investigate the impact or contribution of non-oil sectors on economic growth (GDP/capita) of some selected African countries using panel data analysis.Design/methodology/approachThe paper focused on secondary data for the period 1991–2019 for macro parameters, including agriculture, industry, export and service, and GDP/capita received from World Development Indicators (WDI). Panel unit root tests like Levin, Lin and Chu test and Im, Pesaran and Shin test, Johansen co-integration test, Granger causality test and an error correction model were also applied to the data for analysis.FindingsThe study reveals no causality from agriculture to economic growth, which implies most of the African countries (used in this study) have neglected agriculture as a source of economic growth. The industry independent variable was of no effect on these countries’ economic growth, whereas the findings reveal that industry has causality on economic growth. Economic growth has no causality on the industry, which means the industry is not contributing to economic growth. The study also shows no causality from export and service to economic growth, but a causality runs from economic growth to export and service.Originality/valueThe paper examines the contribution of the non-oil sectors to economic growth in selected African countries.

scholarly journals The drivers of economic growth in China and India: globalization or financial development?

2017 ◽  
Vol 16 (1) ◽  
pp. 54-84 ◽  
Author(s):  
Magda Kandil ◽  
Muhammad Shahbaz ◽  
Mantu Kumar Mahalik ◽  
Duc Khuong Nguyen
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Emerging Market ◽  
Annual Data ◽  
Test Results ◽  
Causality Test ◽  
Content Type ◽  
China And India ◽  
Integration Test ◽  
The Impact

Purpose Using annual data from 1970 to 2013 for China and India, this paper aims to examine the impact of globalization and financial development on economic growth by endogenizing capital and inflation and drawing comparisons between the two fastest growing emerging market economies. Design/methodology/approach In the long run, co-integration test results indicate that financial development increases economic growth in China and India. Findings The results also reveal that globalization accelerates economic growth in India but, surprisingly, impairs economic growth in China, as it increases competition for exports. The results furthermore disclose that acceleration in capitalization and inflation, as a proxy for aggregate demand, are positively linked to economic growth in China and India. Originality/value Causality test results indicate that both financial development and economic growth are interdependent. In contrast, causality runs from higher economic growth to increased globalization in India, while the results do not support long-term causality between globalization and economic growth in China.

Impact of economic growth on carbon emissions in selected West African countries, 1980–2019

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Richard Osadume ◽  
Edih O. University
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Secondary Data ◽  
West African ◽  
World Bank Group ◽  
Economic Activities ◽  
African Region ◽  
African Countries ◽  
Content Type ◽  
The Impact

PurposeThis study investigated the impact of economic growth on carbon emissions on selected West African countries between 1980 and 2019. Simon-Steinmann's economic growth model provides the relevant theoretical foundation. The main objective of this study was to ascertain whether economic growth will impact carbon emissions.Design/methodology/approachThe study selected six-sample countries in West Africa and used secondary data obtained through the World Bank Group online database covering the period 1980–2019, employing panel econometric methods of statistical analysis.FindingsThe outcome indicates that the independent variable showed a positively significant impact on the dependent variable for the pooled samples in the short-run, with significant cointegration.Research limitations/implicationsThe study concluded that economic growth significantly impacts the emissions of carbon, and a 1% rise in economic growth will result to 3.11121% unit rise in carbon emissions.Practical implicationsPolicy implementation should encourage the use of energy efficient facilities by firms and government and the establishment of carbon trading hubs.Social implicationsFailure by governments to heed the recommendations of this research will result to serious climate change issues on economic activities with attendant consequences on human health within the region and globally.Originality/valueThis is one of the comprehensive works on subject covering the West African region within the continent.

scholarly journals Effect of Foreign Aids on Economic Growth in Nigeria

2020 ◽  
pp. 194-204
Author(s):  
Isiaka Najeem Ayodeji ◽  
Makinde Wasiu Abiodun
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Unit Root Test ◽  
Secondary Data ◽  
Least Square ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
The Impact

This study investigated the impact of foreign aids on economic growth in Nigeria using time series data spanned from 1990 to 2017. The research considered the secondary data that were gathered from CBN statistical bulletin 2017 and World Bank Data Indictors. Ordinary Least Square techniques was adopted in the study and used Augmented Dickey-Fuller Unit Root Test, co integration test, granger causality test, ECM to estimates data employed. The findings revealed that all the variables employed were stationary at first difference and integrated at the same order1(I), the co-integration test shows that variables are co-integrated at one co-integrating equation which means that there is a long run relationship. The Error Correction Model established that the error that caused disequilibrium in the short run is being corrected in the long-run at a speed of adjustment at 6%. The findings revealed real gross domestic product responds inversely to changes in official development assistance and foreign direct investment. Based on these findings the study concluded that foreign aids have a significant impact on economic growth in Nigeria. Different diagnostic tests are applied in order to confirm the major assumption of multiple regression analysis like multicollinearity, heteroskedasticity and autocorrelation. Therefore, the study recommends among others that government needs to formulate strong and effective education and healthcare policies to facilitate and attract investment in the sectors and improve their efficiency in the long-run that will influence productivity.

Interest rate liberalization and economic growth nexus: does corruption matter?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdulhadi Aliyara Haruna ◽  
Abu Sufian Abu Bakar
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Positive Impact ◽  
Reform Process ◽  
Negative Effects ◽  
African Countries ◽  
Cross Sectional ◽  
Content Type ◽  
Interest Rate Liberalization ◽  
The Impact

Purpose This paper aims to examine the impact of interest rate liberalization on economic growth and the relevance of corruption in the five selected sub-Saharan African countries. Design/methodology/approach The study used the modified version of Driscoll and Kraay’s model by Hoechle, which solved the effects of cross-sectional dependence and heteroscedasticity. Findings The findings reveal a positive impact of the index on economic growth, and it was found that foreign direct investment (FDI) and credit to private sector by banks (CPSB) all stimulate economic growth. The interaction terms of corruption with FDI and CPSB indicate negative effects that show how corruption erodes the benefits of liberalization. Finally, the paper recommends the pursuit of appropriate policies with the sole aim of eradicating corruption and providing a conducive environment for business. Originality/value The paper developed a composite domestic financial liberalization index to capture the timing and essential dimensions of the reform process. The study investigates the effect of interest rate liberalization on economic growth and the relevance of corruption. Most of the recent and past studies only examined the impact of interest rate reforms on growth without investigating the relevance of corruption.

Can financial inclusion reduce the presence of corruption? Evidence from selected countries in Africa

2020 ◽  
Vol 47 (11) ◽  
pp. 1345-1362
Author(s):  
Folorunsho M. Ajide
Keyword(s):  
Random Effect ◽  
Secondary Data ◽  
Threshold Level ◽  
Financial Inclusion ◽  
Least Square ◽  
African Countries ◽  
Content Type ◽  
The Impact ◽  
Control Of Corruption

PurposeThe purpose of this paper is to evaluate the impact of financial inclusion (FI) on control of corruption in selected African countries.Design/methodology/approachThe study employs secondary data spanning over a period of 2005–2016. These data are sourced from IMF's International Financial Statistics, World Bank Development Indicators, Global Financial Development Database, Transparency International and International Country Risk Guide. The author uses Sarma (2008) approach to construct the FI index for 13 countries in Africa. The author applies random effect, robust least square and instrumental variable (IV) estimations to examine the impact of FI on control of corruption in Africa.FindingsThe author finds that financial inclusion improves the control of corruption. The author tests for possible FI threshold to avoid the case of extreme FI in Africa. The results show that there is a threshold level if reached, FI would have negative impacts in the control of corruption. This may likely happen mainly due to weak institutions in Africa. The results are robust to alternative proxy for control of corruption and various alternative estimation techniques.Practical implicationsThe finding indicates that FI can serve as part of toolkits for reducing corruption in Africa.Originality/valueThis study stresses the important role of FI in the economic system. It is the first paper that empirically suggests the role of FI in controlling corruption in Africa.

scholarly journals The human capital–economic growth nexus in SSA countries: what can strengthen the relationship?

2020 ◽  
Vol 47 (9) ◽  
pp. 1143-1159
Author(s):  
Roseline Tapuwa Karambakuwa ◽  
Ronney Ncwadi ◽  
Andrew Phiri
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Least Squares ◽  
Ordinary Least Squares ◽  
African Countries ◽  
Content Type ◽  
Econometric Approach ◽  
The Impact ◽  
The Relationship ◽  
Ssa Countries

PurposeThe purpose of this study is to examine the impact of human capital on economic growth for a selected sample of nine SSA countries between 1980 and 2014 using a panel econometric approach.Design/methodology/approachThe authors estimate a log-linearized endogenous using the fully modified ordinary least squares (FMOLS) and the dynamic ordinary least squares (POLS) applied to our panel data time series.FindingsThe empirical analysis shows an insignificant effect of human capital on economic growth for our selected sample. These findings remain unchanged even after adding interactive terms to human capital, which are representatives of government spending as well as foreign direct investment. Nevertheless, the authors establish a positive and significant effect of the interactive term between urbanization and human capital on economic growth.Practical implicationsThe results emphasize the need for African policymakers to develop urbanized, “smart”, technologically driven cities within the SSA region as a platform toward strengthening the impact of human capital-economic growth relationship.Originality/valueThis study becomes the first in the literature to validate the human capital–urbanization–growth relationship for African countries.

scholarly journals Effects of foreign direct investment on economic growth in Ghana: the role of institutions

2021 ◽  
Vol 20 (1) ◽  
pp. 23-34
Author(s):  
Evans Kulu ◽  
Samuel Mensah ◽  
Prince Mike Sena
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Secondary Data ◽  
Output Growth ◽  
Data Series ◽  
Development Indicators ◽  
Distributed Lag ◽  
The Impact

The role of institutions in both the inflow and the impact of foreign direct investment is of great im¬portance. The quality of institutions in a country can direct investment towards improving growth. This paper analyzes the individual and combined effect of foreign direct investment and institutions on economic growth in Ghana. The paper used the Auto Regressive Distributed Lag (ARDL) tech¬nique for secondary data obtained from 1995 to 2019. All data series, except for the quality institution index, were drawn from the World Bank Development Indicators. Institutional Quality Index data was obtained from the Heritage Foundation’s Economic Freedom Index website. The results of the ARDL model indicate that foreign direct investment and a quality institutional index together have a significantly positive effect on a country’s economic growth compared to their individual effects in both the short and long run. The study recommends that government policies should be aimed at attracting foreign direct investment while strengthening institutions and regulations to enhance output growth.

scholarly journals How do Globalization, Technological Change and Employment Impact Economic Growth in Developing Countries? Evidence from Panel Data Analysis

2018 ◽  
Vol 1 (1) ◽  
pp. 39-49
Author(s):  
Fatima Saleem ◽  
Fatima Farooq ◽  
Imran Sharif Chaudhry ◽  
Noreen Safdar
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Developing Economies ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Causality Analysis ◽  
Causality Test ◽  
Panel Ardl ◽  
Long Run ◽  
The Impact

This study aims at exploring the impact of globalization, technology and employment on economic growth of developing economies. This study also observed the long-run, short-run and causality relationships between globalization, technological innovations, employment, and economic growth for 20 selected developing countries covering the data for period of 1991 to 2017.  Since stationary of variables is examined through ADF tests, Levin-Lin-Chu test, and IM-Pesaran-Shin test and resulted with mixed order of integration, Panel ARDL estimation techniques are employed to measure the long run effects of these variables on growth of selected economies. Dumitrescu-Hurlin panel Granger Causality test was applied for causality analysis. All variables have strong positive and significant relationship with growth. This study concluded that knowledge and research-based education have a key role in promoting long-run growth as evident from the ‘New growth theory’ of Romer. On the basis of these results, it is suggested that knowledge and research-based education should be promoted and export-oriented policies should also be encouraged to attain benefits of trade openness and globalization for accelerating economic growth on sustainable basis.

scholarly journals FOREIGN DIVERSIFICATION AND PERFORMANCE OF QUOTED DEPOSIT MONEY BANKS IN SELECTED SUB-SAHARA AFRICAN COUNTRIES

2020 ◽  
Vol 5 (Special) ◽  
pp. 82-93
Author(s):  
Osagie Osifo ◽  
Esther Ikavbho Evbayiro-Osagie
Keyword(s):  
Panel Data Analysis ◽  
Secondary Data ◽  
African Countries ◽  
Significance Level ◽  
Explanatory Variables ◽  
Long Run ◽  
Net Interest Margin ◽  
Integration Test ◽  
Market Opportunities ◽  
And Performance

Foreign diversification offers prospective market opportunities which afford firms prospects for greater growth and penetration of global markets. This study investigated the effect of foreign diversification on performance of quoted deposit money banks in selected Sub-Sahara African countries; Botswana, Ghana, Kenya, Malawi, Mauritius, Namibia, Nigeria, South Africa, Uganda, Zimbabwe and Zambia. The study employs secondary data collected and computed from sampled deposit money banks annual audited financial statements. Employing the use of descriptive statistics, correlation analysis, panel unit root analysis, co-integration test, multivariate panel data analysis and the system- GMM for a period of 2007 – 2017, the data were estimated with the aid of Eviews 9.0 econometric statistical package. Using dependent variables (Net interest margin and Tobin Q), explanatory variables of foreign diversification, bank’s size and bank’s age respectively. The findings revealed that foreign diversifications have negative and significant effect on all the performance indicators (NIM and TOBIN Q) used in the study. The explanatory variable (foreign diversification) was significant at 1% significance level. The findings from robustness check showed that the coefficients of foreign diversification are also largely negative for most of the banks. This study therefore recommends, amongst others, banks should consider diversification as a long run strategy for promoting growth and other forms of expansions. This can be achieved by promoting more regional banking integration within the sub-region. Given that formalities are already on the ground to facilitate entry and establishment within economies in the regional blocs, diversification in this direction will involve less institutional obstacles

scholarly journals Effect of economic growth on employment in Sub-Saharan Africa.

2021 ◽  
Vol 16 ◽  
pp. 28-41
Author(s):  
Francis Kamau Ndung’u ◽  
Professor Niu Xiongying
Keyword(s):  
Economic Growth ◽  
Fixed Effects ◽  
Secondary Data ◽  
Sub Saharan Africa ◽  
Economic Sectors ◽  
African Countries ◽  
Total Employment ◽  
Development Indicators ◽  
Domestic Capital ◽  
Sub Saharan

The study aimed at investigating the effect of economic growth on employment in Sub-Saharan African. The study employed secondary data that was sourced from the World Bank, World development indicators and FAOSTAT covering 30 Sub Saharan African Countries for the period 1990 to 2015. The study employed the traditional neo-classical aggregate production function in its estimation of the regression results. The panel data obtained was analysed using the STATA software program. Hausman test was used and it determined that fixed effects estimation was preferred to random effects estimation and therefore fixed effects regression was used during the analysis. Empirical results on effect of economic growth on employment established that total employment, women in employment and men in employment statistically and significantly influenced economic growth and on the other hand economic sectors which comprised of domestic capital, imports, exports and services sectors statistically and significantly influenced economic growth.

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