scholarly journals Agriculture and Non-Agriculture Growth, Inflation and Income Inequality in Developed and Developing Countries

2019 ◽  
Vol 11 (11) ◽  
pp. 43 ◽  
Author(s):  
Sima Siami-Namini
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Income Inequality ◽  
Inflation Rate ◽  
Developed Countries ◽  
Kuznets Curve ◽  
Nonlinear Relationship ◽  
Large Sample ◽  
Cyclical Component ◽  
Hp Filter

The aim of this article is to examine how agriculture and non-agriculture growth and inflation affect income inequality. The multivariate panel data approach is used to examine the application of Kuznets hypothesis between income inequality and agriculture and non-agriculture growth and test the existence of nonlinear relationship between income inequality and inflation rate in a large sample of data collected for developed and developing countries. The Hodrick-Prescott (HP) filter is used to separate the cyclical component from the trend component of inflation rate and agriculture and non-agriculture growth. The results demonstrate a significant negative nonlinear relationship between income inequality and the HP filtered inflation rate squared in developed countries. The findings confirm the application of a ‘U-shaped’ of Kuznets curve between income inequality and agriculture growth and between income inequality and non-agriculture growth in developed countries. In addition, the results show Kuznets inverted ‘U-shaped’ curve between agriculture growth and income inequality, and Kuznets ‘U-shaped’ curve between non-agriculture growth and income inequality in developing countries.

scholarly journals Poverty, income inequality, and energy consumption based on EKC hypothesis: Evidence from developed and developing countries

2021 ◽  
Author(s):  
Yusuf Ekrem Akbas ◽  
Fuat Lebe
Keyword(s):  
Developing Countries ◽  
Energy Consumption ◽  
Income Inequality ◽  
Unit Root Test ◽  
Developed Countries ◽  
Primary Objective ◽  
Seemingly Unrelated Regression ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
The Relationship

Abstract The primary objective of this study is to examine the relationship between carbon dioxide (CO2) emissions, energy consumption, income inequality, and poverty within the framework of the Environmental Kuznets Curve (EKC) in 14 developed and ten developing countries over the period 2000–2018. We employed the Fourier unit root test and Dynamic Seemingly Unrelated Regression (DSUR) estimator to analyze the relationship between these variables. The results show that in developing countries, income inequality, poverty, and energy consumption positively affect CO2 emission. In contrast, in developed countries, there is no significant relationship between these variables. Moreover, we found out that the EKC hypothesis, which suggests an inverted U-shaped relationship between per capita income and CO2 emissions, is valid in developed countries and invalid in developing countries. We determined that the turning points obtained from regression analysis are outside of the sample period in five developing countries (Argentina, Armenia, Kazakhstan, Panama, and Uruguay). These results show that income inequality and poverty can indirectly affect environmental quality by energy consumption in developing countries.

Income inequality and shadow economy: a nonparametric and semiparametric analysis

2018 ◽  
Vol 45 (1) ◽  
pp. 2-13 ◽  
Author(s):  
Wai Weng Yap ◽  
Tamat Sarmidi ◽  
Abu Hassan Shaari ◽  
Fathin Faizah Said
Keyword(s):  
Developing Countries ◽  
Income Inequality ◽  
Shadow Economy ◽  
Semiparametric Regression ◽  
Developed Countries ◽  
Oecd Countries ◽  
Nonlinear Relationship ◽  
Content Type ◽  
Semiparametric Analysis ◽  
The Relationship

Purpose The purpose of this paper is to investigate the nonlinear relationship between shadow economy and income inequality and determine whether the size of shadow economy can influence the level of income inequality. Design/methodology/approach Both parametric (panel OLS) and nonparametric/semiparametric regression suggested by Robinson (1988) will be used to capture the dynamic nonlinear relationship between these variables using unbalanced panel data of 154 countries from 2000 to 2007. Additionally, the relationship between income inequality and shadow economy on both developed and developing countries will be analyzed and compared. Findings First, semiparametric analysis and nonparametric analysis are significantly different than parametric analysis and better in nonlinear analysis between income inequality and shadow economy. Second, income inequality and shadow economy resemble an inverted-N relationship. Third, the relationship between income inequality and shadow economy is different in developed countries (OECD countries) and developing countries, where OECD countries have similar inverted-N relationship as before. However, for developing countries, income inequality and shadow economy show an inverted-U relationship, similar to the original Kuznets hypothesis. Practical implications This study suggests that there is a possible trade-off between income inequality and shadow economy and helps policy makers in solving both problems effectively. Originality/value Despite the growing importance of income inequality and shadow economy, literature linking the two variables is scarce. To the best of the authors’ knowledge, there is no literature that nonlinearly links these two variables. Furthermore, the dynamics of the relationship between these two variables in developed countries and developing countries will be explored as well.

The effects of debt restructurings on income inequality in the developing world

2021 ◽  
pp. 135406612110014
Author(s):  
Glen Biglaiser ◽  
Ronald J. McGauvran
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Income Inequality ◽  
Income Distribution ◽  
Government Spending ◽  
Tax Reform ◽  
Social Spending ◽  
The Poor ◽  
The Rich ◽  
The Impact

Developing countries, saddled with debts, often prefer investors absorb losses through debt restructurings. By not making full repayments, debtor governments could increase social spending, serving poorer constituents, and, in turn, lowering income inequality. Alternatively, debtor governments could reduce taxes and cut government spending, bolstering the assets of the rich at the expense of the poor. Using panel data for 71 developing countries from 1986 to 2016, we assess the effects of debt restructurings on societal income distribution. Specifically, we study the impact of debt restructurings on social spending, tax reform, and income inequality. We find that countries receiving debt restructurings tend to use their newly acquired economic flexibility to reduce taxes and lower social spending, worsening income inequality. The results are also robust to different model specifications. Our study contributes to the globalization and the poor debate, suggesting the economic harm caused to the less well-off following debt restructurings.

scholarly journals Service Export Sensitivity to Internet Adoption: Evidence From Dynamic Panel Data Analysis

2020 ◽  
Vol 11 (6) ◽  
pp. 259
Author(s):  
Walid Chatti ◽  
Haitham Khoj
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Developed Countries ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Internet Adoption ◽  
The Impact ◽  
Dynamic Panel Data Analysis ◽  
Service Export

This study aims to examine the causal linkages relating service exports to internet penetration for 116 countries over the period 2000-2017. Taking into account a wide panel of countries, we apply 2-Step GMM methodology for dynamic panel data models. The results show a bi-directional causality relating service exports to internet adoption for developed countries. For the global panel and developing countries, we find those same results attest a positive relationship between the internet adoption and service exports, but in the opposite way; the impact is very low and not significant. Regarding developing countries, despite the fact that internet positively affects service exports, it is considered less efficient than in developed countries.

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.

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 Industrial Development

2021 ◽  
pp. 378-406
Author(s):  
Fiona Tregenna ◽  
Kevin Nell ◽  
Chris Callaghan
Keyword(s):  
Developing Countries ◽  
Human Capital ◽  
Exchange Rate ◽  
Panel Data ◽  
Industrial Development ◽  
Trade Openness ◽  
Developed Countries ◽  
Government Consumption ◽  
Capital Account Liberalization ◽  
Exchange Rate Depreciation

Global evidence suggests that, for many countries, manufacturing typically has an inverted U-shaped relationship with development. But unlike the historical experience of most developed countries, for most developing countries the turning point of this relationship is occurring sooner in the development process, and at substantially lower levels of income. This is termed ‘premature deindustrialization’. The consequences of this may be particularly important if such countries can no longer rely on manufacturing-led development. Why are some countries more industrialized, or more deindustrialized, than other comparable countries? To explore these issues, this chapter uses panel-data econometric techniques to analyse the determinants of the share of manufacturing in GDP, across countries and across time. Domestic determinants include investment, government consumption, population size, human capital, democracy, and natural resource endowments. External determinants include trade openness, capital account liberalization, and exchange rate depreciation.

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 Income Inequality and Economic Growth: An Analysis Using a Panel Data

2018 ◽  
Vol 10 (5) ◽  
pp. 242
Author(s):  
Mohamed Bouincha ◽  
Mohamed Karim
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Developed Countries ◽  
Global Model ◽  
Kuznets Curve ◽  
Main Indicator ◽  
Development Indicator ◽  
Long Time ◽  
The Developed Countries ◽  
The Relationship

A long time ago, economic growth was the main indicator of countries’ economic health. However, since the 1970s, the analysis of the relationship between economic growth and other economic phenomena such as inequality has begun to grow (Sundrum, 1974). Much of the literature on the link between economic growth and income inequality is based on Kuznets revolutionary theory. The purpose of our article is to suspect the causality relationship between growth and inequality. To do this, we used data from 189 countries for the period between 1990 and 2015. We estimated a global model and three other of each category of countries in terms of development. In the global model, economic growth is insignificant even if its sign is positive. The same result appears in the developing country model and the moderately developed countries one. However, in the developed countries model, economic growth is negatively and statistically related to inequality. The Kuznets curve is approved in our study only when using human development indicator in the place of growth. Growth explain inequality’s movement in our study only in the model of developed countries and its coefficient is negative.

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