Financial Stability, Monetary Policy, and Economic Growth: Panel Data Evidence from Developed and Developing Countries

2017 ◽  
Vol 10 (1) ◽  
pp. 238-260 ◽  
Author(s):  
Moheddine Younsi ◽  
Amine Nafla
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Monetary Policy ◽  
Panel Data ◽  
Financial Stability

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 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.

scholarly journals Regular Econometric Model of Taylor for Albania

2016 ◽  
Vol 5 (1) ◽  
pp. 123
Author(s):  
Ergys Misha
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Interest Rates ◽  
Financial Stability ◽  
Inflation Targeting ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Central Banks ◽  
Financial Assets

The Taylor’s Rule Central Banks is applying widely today from Central Banks for design the monetary policy and for determination of interest rates. The purpose of this paper is to assess monetary policy rule in Albania, in view of an inflation targeting regime. In the first version of the Model, the Taylor’s Rule assumes that base interest rate of the monetary policy varies depending on the change of (1) the inflation rate and (2) economic growth (Output Gap).Through this paper it is proposed changing the objective of the Bank of Albania by adding a new objective, that of "financial stability", along with the “price stability”. This means that it is necessary to reassess the Taylor’s Rule by modifying it with incorporation of indicators of financial stability. In the case of Albania, we consider that there is no regular market of financial assets in the absence of the Stock Exchange. For this reason, we will rely on the credit developmet - as a way to measure the financial cycle in the economy. In this case, the base rate of monetary policy will be changed throught: (1) Targeting Inflation Rate, (2) Nominal Targeting of Economic Growth, and (3) Targeting the Gap of the Ratio Credit/GDP (mitigating the boom cycle, if the gap is positive, and the contractiocycle if the gap is negative).The research data show that, it is necessary that the Bank of Albania should also include in its objective maintaining the financial stability. In this way, the contribution expected from the inclusion of credit gap indicators in Taylor’s Rule, will be higher and sustainable in time.

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 The Nexus between Financial Development and Economic Growth: Panel Data Evidence from Developing Countries

2021 ◽  
Vol 14 (10) ◽  
pp. 489
Author(s):  
E. M. Ekanayake ◽  
Ranjini Thaver
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Least Squares ◽  
Financial Development ◽  
Panel Cointegration ◽  
Sub Saharan Africa ◽  
Explanatory Variables ◽  
Cointegration Tests ◽  
Sub Saharan

The objective of this study is to investigate the nexus between financial development (FD) in economic growth (GROWTH) in developing countries. The study uses panel data from 138 developing countries during the period 1980–2018. The relationship between financial development and economic growth is investigated using four explanatory variables that are commonly used to measure the level of financial development and several other control variables, including a dummy variable representing the financial and banking crises. The sample of 138 developing countries is also classified into six geographic regions. We have carried out panel unit-root tests and panel cointegration tests before estimating the specified models using both Panel Least Squares (Panel LS) and Panel Fully Modified Least Squares (FMOLS) methods. In addition, panel Granger causality tests have been conducted to identify the direction of causality between FD and GROWTH for each of the regions. The results of the study provide evidence of a direct relationship between FD and GROWTH in developing countries. Furthermore, there is evidence of bi-directional causality running from FD to GROWTH and from GROWTH to FD in samples of Europe and Central Asia, South Asia, and all countries, but not in East Asia and Pacific, Latin America and the Caribbean, Middle East and North Africa, and Sub-Saharan Africa.

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.

Wage- and profit-led growth regimes: a panel-data approach

2021 ◽  
Vol 9 (3) ◽  
pp. 394-412
Author(s):  
Guilherme de Oliveira ◽  
Eduardo Prado Souza
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Latin American ◽  
Structural Characteristics ◽  
Developed Countries ◽  
Domestic Investment ◽  
Growth Regime ◽  
Investment Function ◽  
Trade Channel

The extensive empirical effort made in the growth and distribution literature to estimate whether economic growth is wage- or profit-led has not sufficiently considered the theoretical foundation of the Neo-Kaleckian model. This paper attempts to respect key tenets of the investment function by estimating a panel-data model in which country-specific structural characteristics and possible endogenous relationships in income distribution and economic growth are explicitly considered. The identification strategy is based on several estimates of the capital stock and the rate of capacity utilization for 61 countries over the period between 1995 and 2014. The main results suggest that the growth regime was wage-led in developed countries, while most developing countries exhibited a profit-led growth regime. Interestingly, however, while the profit-led regime occurs through the international trade channel in Latin American countries, in other developing countries, the causality channel is mainly related to the domestic investment function.

Determinants of Non-Performing Assets of Commercial Banks in India

2021 ◽  
Keyword(s):  
Monetary Policy ◽  
Panel Data ◽  
Commercial Banks ◽  
Financial Stability ◽  
Policy Effectiveness ◽  
Credit Growth ◽  
Dynamic Provisioning ◽  
The Past ◽  
Economic Slowdown ◽  
Monetary Policy Effectiveness

Banks’ credit growth continues to decelerate in India due to huge non-performing assets (NPAs) overhangs in banks. Using the panel data methodology, this study empirically analyzed the determinants of NPAs of scheduled commercial banks in India during 2009-2020. Results indicated that the excessive credit growth in the past increased the surge in the current NPAS. The economic slowdown also aggravated loan delinquencies in Indian commercial banks. While higher priority sector lending created higher loan delinquencies, higher banks size and higher profitability reduced it. This study suggested that counter capital buffer, dynamic provisioning and a sound credit appraisal NPA improved the financial stability and monetary policy effectiveness. These findings are useful for policymakers, bankers and other stakeholders to make appropriate strategies to resolve the NPA issue in India.

Islamic Banking and Economic Growth

2020 ◽  
pp. 86-114
Author(s):  
Bilal Kchouri ◽  
Thorsten Lehnert
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Economic Performance ◽  
Fixed Effects ◽  
Banking Industry ◽  
Financial Structure ◽  
Islamic Banking ◽  
Total Size ◽  
Macroeconomic Factors

This chapter measures the effect of growth in Islamic Banking assets on economic performance in a sample of 32 developed and developing countries based on data for the period 2000-2017. The findings show that, although Islamic banks are considered small relative to the total size of the financial sector, these are positively correlated with economic growth even after controlling for financial structure, macroeconomic factors and other variables. The outcome is robust across different econometric specifications like pooling OLS, fixed effects, and panel data with over-identified GMM. The results are confirmed on two different indicators of Islamic banking and hold for different periods. Empirical findings confirm theoretical expectations that although Islamic banking still represents a relatively very small share of the financial system, it is growing and generating an economic boost to ensure a stable banking industry.

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