Institutions and economic growth in ECOWAS: an investigation into the hierarchy of institution hypothesis (HIH)

2020 ◽  
Vol 47 (9) ◽  
pp. 1081-1108 ◽  
Author(s):  
Olumide Olaoye ◽  
Oluwatosin Aderajo
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Peer Review ◽  
Cross Section ◽  
Economic Institutions ◽  
Cross Sectional ◽  
Content Type ◽  
Empirical Modelling ◽  
Data Framework ◽  
Cross Country

PurposeThe purpose of this paper is to examine the relationship between the quality of different dimensions of institutional and economic growth in a panel of 15 member ECOWAS.Design/methodology/approachThe study adopts Driscoll and Kraay′s nonparametric covariance matrix estimator, and the spatial error model to account for cross-section dependency, cross-country heterogeneity and spatial dependence inherent in empirical modelling, which has largely been ignored in previous studies. This is because, the likelihood that corruption and human capital cluster in space is very high because factors that affect these phenomena disperse across borders. Similarly, to test the threshold effect, the study adopts the more refined and more appropriate dynamic panel data which models a nonlinear asymmetric dynamics and cross-sectional heterogeneity, simultaneously, in a dynamic threshold panel data framework.FindingsThe empirical evidence supports findings by previous researchers that better-quality political and economic institutions can have positive effects on economic growth. Similarly, our results support a nonlinear relationship between political institutions and economic institution, confirming the “hierarchy of institution hypothesis” in ECOWAS. Specifically, the findings show that economic institutions will only have the desired economic outcome in ECOWAS, only when political institution is above a certain threshold.Originality/valueUnlike previous studies which assume cross-sectional and spatial independence, the authors account for cross-section dependency and cross-country heterogeneity inherent in empirical modelling.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2019-0630

Corruption and economic growth in some selected transitional economies

2009 ◽  
Vol 5 (1) ◽  
pp. 70-82 ◽  
Author(s):  
Hakeem Ishola Mobolaji ◽  
Kamil Omoteso
Keyword(s):  
Economic Growth ◽  
Maximum Likelihood ◽  
Panel Data ◽  
Maximum Likelihood Estimation ◽  
Random Effect ◽  
Likelihood Estimation ◽  
Transitional Economies ◽  
Content Type ◽  
Estimation Techniques ◽  
Data Framework

PurposeThe general objective of the paper is to investigate the impact of corruption and other institutional factors on economic growth in some selected transitional economies for the period of 1990‐2004 and make policy recommendations for combating it. Specifically, the study attempts to: assess whether corruption has any impact on the growth of the sample countries; examine whether simultaneous policy reform focussing on accountability and rule of law impact positively on growth of these economies; and investigate whether corruption in these countries exhibit the efficient grease syndrome.Design/methodology/approachThe indices for corruption and other institutional variables were drawn from International Country Risk Guide (ICRG – PRS) for the period of 1990‐2004, the polity data were obtained from the Polity IV, while the real gross domestic product (GDP) per capita growth were obtained from the Penn World 6.2. The study covered the period between 1990 and 2004 that coincides with the real transition of these economies from centrally planned to market economies. It adopts the panel data framework, the fixed effect, the random effect and the maximum likelihood estimation techniques for the analysis.FindingsThe study's findings support Mauro's hypothesis that corruption has a negative impact on the economies. However, the study cannot find a robust statistical evidence to support the efficient grease hypothesis of Leff and Huntington.Research limitations/implicationsThe paper recommends policy efforts that would strengthen accountability and bureaucratic quality, reduce discretionary power, ethnic fractionalisation and military involvement in politics with a view to enhancing social responsibility practices at both micro and macro levels.Originality/valueUnlike previous studies that focussed on single cross‐country regression with an assumption of identical aggregate production function for all countries, this study adopts the panel data framework that makes it possible to allow for differences in the form of unobservable individual country effects. The paper employs the fixed effect, the random effect and the maximum likelihood estimation techniques.

At what level of corruption does economic growth decrease?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Ali Trabelsi ◽  
Hédi Trabelsi
Keyword(s):  
Economic Growth ◽  
Panel Data Analysis ◽  
Optimal Threshold ◽  
Cross Sectional ◽  
Content Type ◽  
Marginal Costs ◽  
Marginal Change ◽  
Cross Country ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this study is to examine the impact of corruption on economic growth by testing the hypothesis that the relationship between these two variables is nonlinear and by assessing the veracity of the assumption that corruption is always detrimental to economic growth. Several cross-country studies have treated this question but the findings are not universally robust. Design/methodology/approach In this paper, a panel data analysis has been used to examine 88 countries over the 1984-2011 period. A cross-sectional framework is used in which growth rate and the International Country Risk Guide (ICRG) index are observed only once for each country. Findings The findings indicate that beyond an optimal threshold, both high and low corruption levels can decrease economic growth. Under this optimal threshold, a moderate level of corruption, defined by the point of reversal of the curve of the marginal corruption effect on growth, could have advantages for economic growth. Originality/value This paper shows that the threshold would be a corruption level between 2.5 and 3, which represents the “acceptable corruption level”. This result is conforming to one of the ten principles of economics: “Rational people think at the marginal change”. This threshold represents the point where the marginal benefits of corruption are equal to marginal costs incurred by corruption. Conversely, lack of corruption may be a mechanism that slows down growth.

Oil exports and non-oil exports

2017 ◽  
Vol 44 (4) ◽  
pp. 540-551 ◽  
Author(s):  
Huseyin Karamelikli ◽  
Guray Akalin ◽  
Unal Arslan
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Dynamic Panel Data ◽  
Cross Sectional ◽  
Content Type ◽  
Oil Exports ◽  
Cross Sectional Dependence ◽  
The Cross ◽  
Opec Member ◽  
The Impact

Purpose The purpose of this paper is to examine the dynamic relationship between oil exports, non-oil exports, imports and economic growth in the Organization of Petroleum Exporting Countries (OPEC), covering the period 1972-2013 by using panel data analysis. Design/methodology/approach The results from the dynamic panel data methods are as follows: there exists the cross-sectional dependence on each variable. According to the cross-sectionally augmented panel unit root tests, all variables are stationary at the first difference. Westerlund and Edgerton (2007) LM Bootstrap cointegration test shows that there is a long-term relationship between variables. Findings The results obtained by the Common Correlated Effects (CCE) estimator indicate that the increase in oil exports has a positive impact on the GDP of all countries, while the increase in oil exports has a negative impact on the non-oil exports of some countries. Originality/value In this study, the relationship between oil exports, economic growth, imports and non-oil exports of the 12 OPEC member countries is tested by considering the cross-sectional dependence between 1972 and 2013. In the study, the authors found a positive relationship as a result of researching the impact of oil exports on economic growth in the frame of CCE panel estimations results.

Does bad company corrupt good character? A spatial econometric analysis of oil resource management in Africa

2017 ◽  
Vol 11 (3) ◽  
pp. 480-502
Author(s):  
Ishmael Ackah
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Oil Production ◽  
Business Environment ◽  
Spatial Proximity ◽  
Spatial Effects ◽  
Cross Sectional ◽  
Content Type ◽  
Neighbouring Country ◽  
Oil Curse

Purpose A widely held belief before the 1990s – referred to as the oil-blessing hypothesis – was that oil discovery and production should promote economic growth and development and lead to poverty reduction. However, the so-called ‘oil-curse’ hypothesis, postulated by Sachs and Warner in 1995, challenged this belief, thus provoking a heated debate on the theme. The oil-curse hypothesis has been traditionally tested by means of cross-sectional and panel-data models. The author goes beyond these traditional methods to test whether the presence of spatial effects can alter the hypothesis in oil-producing African countries. In particular, this paper aims to investigate the effects on economic growth of oil production, oil resources and oil revenues along with the quality of democratic institutions, investment and openness to trade. Design/methodology/approach A Durbin spatial model, a cross-sectional model and panel-data model are used. Findings First, the validity of the spatial Durbin model is vindicated. Second, consistently with the oil-curse hypothesis, oil production, resources, rent and revenues have a negative and generally significant effect on economic growth. This result is robust for across the panel data, spatial Durbin and spatial autoregressive models and for different measures of spatial proximity between countries. Third, the author finds that the extent to which the business environment is perceived as benign for investment has a positive and marginally effect on economic growth. Additionally, economic growth of a country is further stimulated by a spatial proximity of a neighbouring country if the neighbouring country has created strong institutions protecting investments. Fourth, openness to international trade has a positive and marginally significant effect on economic growth. Originality/value This paper examines theories and studies that have been done before. However, as the related literature on the growth–resource abundance nexus has rarely examined spatial effects, this study seeks to test jointly the spatial effect and the neighbouring effect on the oil curse hypothesis.

scholarly journals Impact of foreign direct investment, remittances and official development assistance on economic growth: panel data approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amna Zardoub ◽  
Faouzi Sboui
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Development Assistance ◽  
Business Environment ◽  
Official Development Assistance ◽  
Financial Flows ◽  
Content Type

PurposeGlobalization occupies a central research activity and remains an increasingly controversial phenomenon in economics. This phenomenon corresponds to a subject that can be criticized through its impact on national economies. On the other hand, the world economy is evolving in a liberalized environment in which foreign direct investment plays a fundamental role in the economic development of each country. The advent of financial flows – FDI, remittances and official development assistance – can be a key factor in the development of the economy. The subject of this article is to analyses the effect of financial flows on economic growth in developing countries. Empirically, different approaches have been employed. As part of this work, an attempt was made to use a panel data approach. The results indicate ambiguous effects and confirm the results of previous work.Design/methodology/approachThe authors seek to study the effect of foreign direct investment, remittances and official development assistance (ODA) and some control variables i.e. domestic credit, life expectancy, gross fixed capital formation (GFCF), inflation and three institutional factors on economic growth in developing countries by adopting the panel data methodology. Then, the authors will discuss empirical tests to assess the econometric relevance of the model specification before presenting the analysis of the results and their interpretations that lead to economic policy implications. As part of this work, the authors have rolled panel data for developing countries at an annual frequency during the period from 1990 to 2016. In a first stage of empirical analysis, the authors will carry out a technical study of the heterogeneity test of the individual fixed effects of the countries. This kind of analysis makes it possible to identify the problems retained in the specific choice of econometric modeling to be undertaken in the specificities of the panel data.FindingsThe empirical results validate the hypotheses put forward and indicate the evidence of an ambiguous effect of financial flows on economic growth. The empirical findings from this analysis suggest the use of economic-type solutions to resolve some of the shortcomings encountered in terms of unexpected effects. Governments in these countries should improve the business environment by establishing a framework that further encourages domestic and foreign investment.Originality/valueIn this article, the authors adopt the panel data to study the links between financial flows and economic growth. The authors considered four groups of countries by income.

Numerical study for the improvement of bead spreading architecture with modified nozzle geometries in additive manufacturing of polymers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Easir Arafat Papon ◽  
Anwarul Haque ◽  
Muhammad Ali Rob Sharif
Keyword(s):  
Free Surface ◽  
Numerical Model ◽  
3D Printing ◽  
Cross Section ◽  
Nozzle Exit ◽  
Cross Sectional ◽  
Content Type ◽  
The Cross ◽  
Viscous Polymer ◽  
Sectional Shape

Purpose This paper aims to develop a numerical model of bead spreading architecture of a viscous polymer in fused filament fabrication (FFF) process with different nozzle geometry. This paper also focuses on the manufacturing feasibility of the nozzles and 3D printing of the molten beads using the developed nozzles. Design/methodology/approach The flow of a highly viscous polymer from a nozzle, the melt expansion in free space and the deposition of the melt on a moving platform are captured using the FLUENT volume of fluid (VOF) method based computational fluid dynamics code. The free surface motion of the material is captured in VOF, which is governed by the hydrodynamics of the two-phase flow. The phases involved in the numerical model are liquid polymer and air. A laminar, non-Newtonian and non-isothermal flow is assumed. Under such assumptions, the spreading characteristic of the polymer is simulated with different nozzle-exit geometries. The governing equations are solved on a regular stationary grid following a transient algorithm, where the boundary between the polymer and the air is tracked by piecewise linear interface construction (PLIC) to reconstruct the free surface. The prototype nozzles were also manufactured, and the deposition of the molten beads on a flatbed was performed using a commercial 3D printer. The deposited bead cross-sections were examined through optical microscopic examination, and the cross-sectional profiles were compared with those obtained in the numerical simulations. Findings The numerical model successfully predicted the spreading characteristics and the cross-sectional shape of the extruded bead. The cross-sectional shape of the bead varied from elliptical (with circular nozzle) to trapezoidal (with square and star nozzles) where the top and bottom surfaces are significantly flattened (which is desirable to reduce the void spaces in the cross-section). The numerical model yielded a good approximation of the bead cross-section, capturing most of the geometric features of the bead with a reasonable qualitative agreement compared to the experiment. The quantitative comparison of the cross-sectional profiles against experimental observation also indicated a favorable agreement. The significant improvement observed in the bead cross-section with the square and star nozzles is the flattening of the surfaces. Originality/value The developed numerical algorithm attempts to address the fundamental challenge of voids and bonding in the FFF process. It presents a new approach to increase the inter-bead bonding and reduce the inter-bead voids in 3D printing of polymers by modifying the bead cross-sectional shape through the modification of nozzle exit-geometry. The change in bead cross-sectional shape from elliptical (circular) to trapezoidal (square and star) cross-section is supposed to increase the contact surface area and inter-bead bonding while in contact with adjacent beads.

The nexus between economic institutions and unemployment: evidence from sub-Saharan Africa

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdullahi Abdulhakeem Kilishi ◽  
Hammed Adesola Adebowale ◽  
Sodiq Abiodun Oladipupo
Keyword(s):  
Panel Data ◽  
Private Investment ◽  
Developed Countries ◽  
Sub Saharan Africa ◽  
Economic Institutions ◽  
Male And Female ◽  
Content Type ◽  
Long Run ◽  
Sub Saharan ◽  
Ssa Countries

Purpose This paper aims to investigate the nexus between economic institutions (EI) and unemployment in sub-Saharan African (SSA) countries. Specifically, the paper examines the impact of aggregate EI and ten different components of institutions on total, male and female unemployment in SSA. Design/methodology/approach The paper used unbalanced panel data of 37 SSA countries covering the period between 1995 and 2018. A dynamic heterogenous panel data model is specified for the study. Two alternative estimation techniques of dynamic fixed effect and pool mean group methods were used to estimate the models. The choice of appropriate method is based on Hausman specification test. Findings The findings reveal that aggregate EI and institutions related to the monetary system, trade flows, government spending and fiscal process significantly lead to less unemployment in the long-run. However, there is no evidence of a significant relationship between EI and unemployment in the short-run. These findings are consistent for total, male and female unemployment, respectively. Practical implications To reduce unemployment significantly in the long run, policymakers in SSA need to build more market-friendly institutions that will incentivize private investment, allow free movement of labour and goods, as well as guarantee a stable macroeconomic environment and efficient fiscal system. Originality/value Most of the existing studies focused on the influence of labour market institutions on unemployment ignoring the effects of other forms of institutions. While available studies on the link between institutions and unemployment used either OECD or other developed countries sample, with scanty evidence from Africa. However, the effects of EI could vary across regions. Thus, generalizing the findings from developed countries for SSA countries and other developing countries may be misleading. Hence, this paper contributes to the existing literature by examining the nexus between different types of EI and unemployment using the SSA sample.

The impacts of sector growth and monetary policy on income inequality in developing countries

2019 ◽  
Vol 46 (3) ◽  
pp. 591-610 ◽  
Author(s):  
Sima Siami-Namini ◽  
Darren Hudson
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Monetary Policy ◽  
Panel Data ◽  
Income Inequality ◽  
Nonlinear Effect ◽  
Service Sector ◽  
Functional Form ◽  
Content Type ◽  
The Relationship

PurposeThe purpose of this paper is to explore the effect of growth in different sectors of the economy of developing countries on income inequality and analyze how inflation, as a proxy for monetary policy, makes a proportionate contribution for setting a binding national target for reducing income inequality. The paper examines the existence of a linear or nonlinear effect of inflation and sectoral economic growth on income inequality using a balanced panel data of 92 developing countries for the period of 1990–2014.Design/methodology/approachMethods section includes several steps as below: first, the functional form of the model using panel data for investigating the contribution of economic sectors in income inequality; second, to estimate the relationship between income inequality and sector growth: testing the Kuznets hypothesis; third, to estimate the relationship between inflation and income inequality base on general functional form of the model proposed by Amornthum (2004); fourth, a panel Granger causality analysis based on a VECM approach.FindingsThe statistically significant finding shows that first agricultural growth and then industrial growth have a dominate impact in reducing income inequality in our sample. But, the service sector growth has positive effects. The results confirm the existence of Kuznets inverted “U” hypothesis for industry growth and Kuznets “U” hypothesis for service sector growth. The findings show that sector growth and inflation affect income inequality in the long-run.Originality/valueThis research is an original paper which analyzes the effect of growth in different sectors of the economy of developing countries (agriculture, manufacturing and services sectors) on income inequality and test the Kuznets hypothesis in terms of sector growth and at the same time, examine the existence of a linear/nonlinear effect of inflation and sectoral economic growth on income inequality and test Granger causality relationship between income inequality and sector growth and inflation.

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.

scholarly journals Corruption, governance and economic growth in Sub-Saharan Africa: a need for the prioritisation of reform policies

2014 ◽  
Vol 10 (2) ◽  
pp. 316-330 ◽  
Author(s):  
Kamil Omoteso ◽  
Hakeem Ishola Mobolaji
Keyword(s):  
Economic Growth ◽  
Rule Of Law ◽  
Political Stability ◽  
Content Type ◽  
Governance Indicators ◽  
Data Framework ◽  
Regulatory Quality ◽  
The Impact ◽  
Control Of Corruption ◽  
Ssa Countries

Purpose – This study aims to investigate the impact of governance indices (especially control of corruption) on economic growth in some selected Sub-Sahara African (SSA) countries with a view to making policy recommendations. Specifically, the study attempts to assess whether either governance reforms (especially those relating to control of corruption) or simultaneous policy reforms could have any impact on the growth of the sample SSA countries. Design/methodology/approach – The governance indicators used in this study were drawn from the PRS Group and the Worldwide Governance Indicators for 2002-2009, while the real gross domestic product (GDP) per capita growth data were obtained from the World Bank database. The study covered 47 SSA countries, and it adopted the panel data framework, the fixed effect, the random effect and the maximum likelihood estimation techniques for the analyses. Findings – The study found that political stability and regulatory quality indicators have growth-enhancing features, as they impact on economic growth in the region significantly, while government effectiveness impacts negatively on economic growth in the region. Despite, several anti-corruption policies in the region, the impact of corruption control on economic growth is not very obvious. The study also found that simultaneous implementation of the voice and accountability and the rule of law indicators has more positive impact on economic growth in the region. Both policies are complementary, and, hence, can be pursued simultaneously. Research limitations/implications – The results suggest that reform efforts that aim at enhancing accountability, regulatory quality, political stability and the rule of law have more growth-enhancing features and, thus, should be given more priority over reform efforts that singly address the issue of control of corruption due to the endemic, systemic and ubiquitous nature of corruption in the region. Practical implications – The study suggests that reform efforts that aim at enhancing accountability, regulatory quality and rule of law have more growth-enhancing features and, therefore, should be given more priority. Originality/value – Many previous studies attempted to examine the impact of corruption on economies, but this paper tries to assess the effect of corruption control and other governance indices on economic growth in the most vulnerable region of the world, the SSA. Besides, the study adopts the panel data framework which makes it possible to allow for differences in the form of unobservable individual country effects.

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