Search results

The present study aims to determine the existence of simultaneous relationship between economic growth, income inequality, fiscal policy, and total trade of the 13 emerging market economies as a group for the period 1980–2010. After establishing the existence of simultaneity between the above relationships, a simultaneous panel model has been formulated and estimated incorporating the nonlinearity among the variables as suggested by the existing literature. An inverted U-shape relationship is evident between (1) economic growth, income inequality, and total trade in economic growth equation, (2) income inequality, economic growth, and per capita income in income inequality equation, and (3) total trade and economic growth in total trade equation. Thus, the existence of a two-way nonlinear relationship is highlighted between economic growth, income inequality, and total trade. Apart from these nonlinear relationships, positive and significant effect of (1) gross capital formation, inflation, population growth, human capital, fiscal policy, monetary policy, and domestic credit to private sector on economic growth; (2) civil liabilities on income inequality; (3) gross capital formation and inflation on total trade; (4) total trade, population growth of those aged 65 years and above, political system on fiscal policy is highlighted. Also, negative and significant effect of (1) fiscal policy on income inequality and (2) income inequality on fiscal policy is revealed.

Education had proven to be one of the main determinants of economic growth, and it is a reason of the variations in economic growth levels between developed and developing countries. One of the main dimensions in studding the relationship between economic growth and education is the gender dimension or the importance of gender equality or female education in achieving economic growth. This chapter aims to test the hypothesis of the existence of a positive relationship between female education and economic growth in Egypt since 1990.

To address this question, Auto Regression Distributed Lag (ARDL) Bound test approach is conducted to analyze the co-integration between female education and economic growth using Egyptian Data for the period 1990–2022. The Empirical analysis for Egypt suggests the existence of positive significant relationship both in the short run and long run and that the impact of female education on economic growth is larger than the impact of education in general on growth. This could be explained by the existence of gender gap in Egypt, labor market, and thus, more educated girls able to enter the labor market will affect the economic growth more than the education of both sexes, in other words, there is still a room for improvement in the female labor market opportunities than for both sexes. The chapter also confirms the existence of a direct link between education in general and economic growth and thus confirms the hypothesis of the positive impact of education economic growth.

This paper presents new evidence of the relationship between financial market development (banking sector) and economic growth for a set of seven Middle East and North African economies over the period 1965–2002. We find evidence that in six of the seven countries, banking-sector development Granger causes increases in economic growth. However, in three of those six countries, economic growth also Granger causes banking development. Our co-integration analysis reveals that there is a stable long-run equilibrium relationship between banking-sector development and economic growth for all our countries. However, based on vector error-correction models, there is limited evidence that banking-sector development boosts economic growth in the short run.

Government spending plays a crucial role in fiscal policy in any country, both as a tool for implementing individual government policies and as a possible instrument for mitigating uneven economic developments and economic shocks. This chapter provides direct empirical evidence on the development and structure of general government expenditure and its relationship with real economic growth in Czechia and the European Union countries. Compared to theoretical recommendations, general government expenditure has not been used as a stabiliser in Czechia and EU countries and has been observed to be pro-cyclical in the period under review. Granger causality analysis identified the direction of causality between the macroeconomic variables analysed and found that in most cases economic growth came first, followed by government spending.

This study investigates the causal relationship between financial innovation (FI) as proxied by the bank credits to private sector, as percentage of GDP and economic growth in case of Azerbaijan using annual data covering the period from 1992 to 2018. For this purpose, the Toda–Yamamoto causality test with the framework of vector autoregressive (VAR) model is utilized to test causal relationship between the variables. The estimation results reveal that there is bidirectional causal relationship between FI and economic growth. The findings of the study suggest the researchers and policy makers to understand the role of FI in economic growth for macroeconomic stability and sustainable development purposes in Azerbaijan and other developing oil-rich countries.

The present study deals with the growth performance of export (X), ­import (M), and economic growth (Y) in India over the period 1970–1971 to 2016–2017 as well as tariff (TR) for the period 1990–2017 by employing the methodology of one-time endogenous structural break suggested by Zivot and Andrews (1992). Also, an attempt has been taken to examine the direction of causality between the above-mentioned trade-related variables and economic growth using Granger Causality Test. Results of estimation reveal that all the variables converge toward a stationarity process having constant variability overtime. There exists structural break in the year 1996, 2006, 2008, and 2010, respectively, for economic growth, tariff, imports, and exports. Bidirectional causality is found running from economic growth to tariff and from tariff to economic growth. But there is unidirectional causality from imports to tariff, imports to exports and from exports to tariff.

This chapter explores the influence of the banking and insurance sectors on the economic growth of Czechia, a nation with unique financial dynamics ideal for this study. Our aim is to ascertain the contribution of these financial institutions to economic growth, addressing the divergence in empirical findings that have marked this research area for decades. We scrutinise the impact of various factors, including sectoral development and the efficiency and stability of these institutions, all within the Czech context. Utilising the Granger causality test, we assess the role of several indicators related to the development of the banking and insurance sectors. Our findings reveal that in Czechia, the evolution and operational efficiency of these financial institutions significantly drive economic growth. This study provides an in-depth understanding of the role these sectors play in the Czech economic landscape, affirming their crucial contribution to the nation's economic prosperity.