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.

scholarly journals How do Poverty and Income Inequality affect Economic Growth in Developing Countries?

2021 ◽  
Vol 4 (2) ◽  
pp. 547-558
Author(s):  
Hamza Saleem ◽  
Fatima Farooq ◽  
Muhammad Aurmaghan
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Income Inequality ◽  
Negative Impact ◽  
Positive Impact ◽  
Development Indicators ◽  
The Relationship ◽  
Positive Effect ◽  
World Development

The major objective of this research is to examine the relationship between poverty, income inequality and economic growth from some selected developing countries. This study uses panel data for the period of 2002-2015. All the data is taken from world development indicators (WDI). To find out the results, we have used Hausman test an econometrics technique for panel data in this research. The results of the study indicate that poverty and income inequality have a negative impact on economic growth on the other hand Gross capital formation, labor force, total population and government consumption and expenditure have a positive impact on economic growth. The result tells us that changes in these variables have a significant and positive effect on the dependent variable. To achieve the goal of economic growth developing countries should reduce poverty and take meaningful steps to overcome the problem of inequality in the society which can be very helpful in achieving the goal of economic growth.

scholarly journals Economic Growth and Income Inequality in Developing Countries

2015 ◽  
Vol 9 (6) ◽  
pp. 79-82 ◽  
Author(s):  
Morteza Nemati ◽  
Ghasem Raisi
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Income Inequality ◽  
Income Distribution ◽  
Economic System ◽  
Development Strategy ◽  
Low Income ◽  
Poverty Eradication ◽  
The Relationship ◽  
Selection Of

Nowadays, improvement in income distribution and poverty eradication and hence low inequality are served as the main objectives of economic and social development strategy even prior than primary tasks of governments. to manifest importance of income distribution, some economists adopt income inequality and income distribution in society as criteria for economic system of the community, although these criteria and measures are theoretical for the economic system and this varies from the perspective of different people, however, it denotes on  importance of income distribution among individuals. The main objective of this study was to evaluate the effect of economic growth on income inequality in the selection of low-income developing countries.To this end, using panel data and data for 28 developing countries over the period 1990-2010 the relationship between GDP and the Gini coefficient was examined. The results indicate that as per hypothesis Kuznets in the early stages of growth, income inequality increases and then it declines in later stage.

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.

Central bank transparency, inflation targeting and monetary policy: a panel data approach

2018 ◽  
Vol 45 (6) ◽  
pp. 1159-1174 ◽  
Author(s):  
Gabriel Caldas Montes ◽  
Cristiane Gea
Keyword(s):  
Developing Countries ◽  
Monetary Policy ◽  
Panel Data ◽  
Interest Rate ◽  
Central Bank ◽  
Interest Rates ◽  
Inflation Targeting ◽  
Content Type ◽  
Central Bank Transparency ◽  
Policy Interest

Purpose The evidence concerning the effects of the inflation targeting (IT) regime as well as greater central bank transparency on monetary policy interest rates is not conclusive, and the following questions remain open. What is the effect of adopting IT on both the level and volatility of monetary policy interest rate? Does central bank transparency affect the level of the monetary policy interest rate and its volatility? Are these effects greater in developing countries? The purpose of this paper is to contribute to the literature by answering these questions. Hence, the paper analyzes the effects of IT and central bank transparency on monetary policy. Design/methodology/approach The analysis uses a sample of 48 countries (31 developing) comprising the period between 1998 and 2014. Based on panel data methodology, estimates are made for the full sample, and then for the sample of developing countries. Findings Countries that adopt the IT regime tend to have lower levels of monetary policy interest rates, as well as lower interest rate volatility. The effect of adopting IT on both the level and volatility of the basic interest rate is smaller in developing countries. Besides, countries with more transparent central banks have lower levels of monetary policy interest rates, as well as lower interest rate volatility. In turn, the effect of central bank transparency on both the level and volatility of the basic interest rate is greater in developing countries. Practical implications The study brings important practical implications regarding the influence of both the IT regime and central bank transparency on monetary policy. Originality/value Studies have sought to analyze whether IT and central bank transparency are effective to control inflation. However, few studies analyze the influence of IT and central bank transparency on interest rates. This study differs from the few existing studies since: the analysis is done not only for the effect of transparency on the level of the monetary policy interest rate, but also on its volatility; the central bank transparency index that is used has never been utilized in this sort of analysis; and the study uses panel data methodology, and compares the results between different samples.

scholarly journals Military spending, armed conflict and economic growth in developing countries in the post-Cold War era

2017 ◽  
Vol 44 (1) ◽  
pp. 47-68 ◽  
Author(s):  
Nusrate Aziz ◽  
M. Niaz Asadullah
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Cold War ◽  
Military Spending ◽  
Military Expenditure ◽  
Internal Conflict ◽  
Content Type ◽  
Post Cold War ◽  
Fixed And Random Effects ◽  
The Relationship

Purpose While the relationship between military expenditure and economic growth during the Cold War period is well-researched, relatively less is known on the issue for the post-Cold War era. Equally how the relationship varies with respect to exposure to conflict is also not fully examined. Therefore, the purpose of this paper is to investigate the causal impact of military expenditure on growth in the presence of internal and external threats for the period 1990-2013 using data from 70 developing countries. Design/methodology/approach The main estimates are based on the generalized method of moments (GMM) regression model. But for comparison purposes, the authors also report estimates using fixed and random effects as well as pooled cross-section regressions. The regression specification accounts for non-linear effect of military expenditure allowing for interaction with conflict variable (where distinction is made between external and internal conflict). Findings The analysis indicates that methods as well as model specification matter in studying the effect of military spending on growth. Full sample estimates based on GMM, fixed, and random effects models suggest a negative and statistically significant effect of military expenditure. However, fixed effects estimate becomes insignificant for low-income countries. The effect of military spending is also insignificant in the cross-sectional OLS model if conflict is not considered. When the regression model additionally controls for conflict, the effect of military spending conditional upon (internal) conflict exposure is significant and positive. No such effect is present conditional upon external threat. Research limitations/implications One important limitation of the analysis is the small sample size – the authors had to restrict analysis to 70 low and middle-income countries for which the authors could construct post-Cold War panel data on military expenditure along with information on armed conflict exposure (the later from the Uppsala Conflict Data Program, 2015). Originality/value To the best of the author’s knowledge, this is the first paper to examine the joint impact of military expenditure and conflict on economic growth in post-Cold War period in a sample of developing countries. Moreover, an attempt is made to review and revisit the large Cold War literature where studies vary considerably in terms findings. A key reason for this is the somewhat ad hoc choice of econometric methods – most rely on cross-section data and rarely conduct sensitivity analysis. The authors instead rely on panel data estimates but also report results based on naïve models for comparison purposes.

Achieving SDG target 8.1 (sustain economic growth) in developing countries: how aid for trade policy and regulations can assist?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chandan Kumar Roy ◽  
Huang Xiaoling ◽  
Banna Banik
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Trade Policy ◽  
Middle Income ◽  
Content Type ◽  
Middle Income Countries ◽  
Aid For Trade ◽  
Per Capita ◽  
Sustainable Economic Growth

Purpose This study aims to examine how aid for trade policy and regulations (AfTPR) contribute to achieving Sustainable Development Goal (SDG) target 8.1 (sustain per capita economic growth) and whether the effectiveness of AfTPR is conditional to the stable political environment. Design/methodology/approach This paper uses a widely accepted endogenous growth framework and applies panel data fixed effects and two-step difference and system generalized method of moments estimation strategies on panel data of 50 developing countries over 2005–2017. Findings The findings of the study confirm that aid to trade policy promotes sustainable economic growth in developing countries, but this category of development assistance is only effective and significant for low and lower middle-income (LLMI) economies. The positive and significant effect of AfTPR in upper middle-income countries is conditional to their level of political stability. Under a stable political situation, the positive effect of AfTPR on sustainable growth remains almost same for the LLMI countries, whereas for the upper middle-income countries this growth effect reached almost double. Research limitations/implications International trade is considered as a driver for inclusive and sustainable economic growth, whereas aid for trade is acknowledged for its prospective contribution toward achieving these goals. The findings have dominant policy implications for the international development organizations and donors, which recommend that it is more desirable to transmit aid toward developing and implementing trade policy and regulations as per capita economic growth improves in the aid recipient countries. Originality/value According to the authors’ knowledge, no prior study empirically analyzes the effect of AfTPRs on SDG target 8.1.

Investigating the interlinkages between infrastructure development, poverty and rural–urban income inequality

2017 ◽  
Vol 34 (4) ◽  
pp. 466-484 ◽  
Author(s):  
Varun Chotia ◽  
N.V.M. Rao
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Poverty Reduction ◽  
Ordinary Least Squares ◽  
Infrastructure Development ◽  
Content Type ◽  
Long Run ◽  
Integration Test ◽  
Urban Income ◽  
The Relationship

Purpose The purpose of this paper is to investigate the relationship between infrastructure development, rural–urban income inequality and poverty for BRICS economies. Design/methodology/approach Pedroni’s panel co-integration test and panel dynamic ordinary least squares (PDOLS) have been used to carry out the analysis. Findings The empirical findings confirm a long-run relationship among infrastructure development, poverty and rural–urban inequality. The PDOLS results suggest that both infrastructure development and economic growth lead to poverty reduction in BRICS. However, rural–urban income inequality aggravates poverty in these nations. The paper advocates for adopting policies aimed at strengthening infrastructure and achieving economic growth to reduce the current levels of poverty prevailing in the BRICS nations. Originality/value Significant limitations exist in the literature in terms of not clearly defining the nature of relationship and interlinkages between infrastructure development, poverty and inequality, with regard to the BRICS nations. The available studies mainly focus on the relationship between infrastructure and growth, with the universal agreement being that these two are positively related. However, it is still not right to assume that economic growth attributable to infrastructure development will, therefore, subsequently lead to a reduction in inequality. This forms the basis for this study, that is, to critically examine the relationship between infrastructure development, inequality and poverty for BRICS nations.

Economic growth and market-based financial systems: a review

2015 ◽  
Vol 32 (2) ◽  
pp. 235-255 ◽  
Author(s):  
Sheilla Nyasha ◽  
N.M. Odhiambo
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Causal Relationship ◽  
Financial Development ◽  
Design Methodology ◽  
Data Sets ◽  
Financial Systems ◽  
Content Type ◽  
The Relationship ◽  
Country Specific

Purpose – This paper aims to survey the existing literature on the causal relationship between market-based financial development and economic growth – in both developed and developing countries, highlighting the theoretical and the empirical evidence. Design/methodology/approach – The paper divides financial development into bank-based and market-based financial development, and it closely reviews the international literature on the relationship between market-based financial development and economic growth. Findings – The direction of causality between market-based financial development and economic growth varies from one country to another, depending on various country-specific characteristics, data sets and the methodology used by the researcher. On balance, there is predominant support for the supply-leading response, where the development of the market-based financial sector is expected to precede the development of the real sector. Originality/value – This review differs fundamentally from previous reviews, in that it divides financial development into bank-based and market-based financial development, and it focuses closely on market-based financial development and economic growth. The majority of the previous studies on this subject failed to make such a distinction, thereby focusing mainly on the general causal relationship between the overall financial development and economic growth. To the best of the authors' knowledge, this may be the first review of its kind to survey the existing research in detail on the causal relationship between market-based financial development and economic growth, in both developed and developing countries.

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