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Book part
Publication date: 26 November 2019

Dipyaman Pal, Chandrima Chakraborty and Arpita Ghose

The present study aims to determine the existence of simultaneous relationship between economic growth, income inequality, fiscal policy, and total trade of the 13…

Abstract

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.

Details

The Gains and Pains of Financial Integration and Trade Liberalization
Type: Book
ISBN: 978-1-83867-004-7

Keywords

Book part
Publication date: 15 August 2007

Ritab S. Al-Khouri

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…

Abstract

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.

Details

Issues in Corporate Governance and Finance
Type: Book
ISBN: 978-1-84950-461-4

Open Access
Article
Publication date: 22 December 2020

Taiyan Huang

The purpose of this paper is based on China’s economic fundamentals. Factor input, structural optimization and institutional reform, which determine the fundamentals of…

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Abstract

Purpose

The purpose of this paper is based on China’s economic fundamentals. Factor input, structural optimization and institutional reform, which determine the fundamentals of China's economic development, will actively prop up long-term, sustained and stable growth of the Chinese economy and keep China's potential economic growth rate stabilized within a reasonable growth range in the long term.

Design/methodology/approach

The fundamentals of economic development of a country are the basic situation of economic operation determined by the country's main factors and the long-term trend thereof, and they have such characteristics as stability, internality and persistence.

Findings

Stability refers to economic operation that remains relatively stable within a reasonable growth range at a certain stage of development, and this does not rule out exceptional economic fluctuations in certain years due to the impact of unexpected short-term factors. For instance, the fundamentals of the Chinese economy during the period after the reform and opening-up are characterized by a sustained high growth rate.

Originality/value

Internality refers to the intrinsic quantity and quality of all factors supporting the economic development of a country, especially the quantity and quality of the factors that play a decisive role in the economic development of a country at a specific stage. For instance, demographic dividend and capital formation have bolstered the high-speed growth of the Chinese economy since the reform and opening-up.

Details

China Political Economy, vol. 3 no. 2
Type: Research Article
ISSN: 2516-1652

Keywords

Article
Publication date: 31 August 2012

William R. DiPeitro and Emmanuel Anoruo

The purpose of this paper is to examine the impact of the size of government and public debt on real economic growth, for a panel of 175 countries around the world.

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Abstract

Purpose

The purpose of this paper is to examine the impact of the size of government and public debt on real economic growth, for a panel of 175 countries around the world.

Design/methodology/approach

The paper utilizes the fixed‐effects and random‐effects techniques to estimate the panel regressions.

Findings

The results indicate that both the size of government and the extent of government indebtedness have negative effects on economic growth.

Practical implications

The findings suggest that the authorities ought to take the necessary steps to curtail excessive government spending and public debts, in order to promote economic growth.

Originality/value

The contribution of the paper is its application of the fixed‐ and random‐effects techniques in modeling the relation of real economic growth to the size of government and public debt, for a panel of 175 countries around the world.

Details

Journal of Economic Studies, vol. 39 no. 4
Type: Research Article
ISSN: 0144-3585

Keywords

Article
Publication date: 28 October 2013

Abdullah Alam

The paper aims to study the relationship between economic growth, nuclear energy consumption and carbon dioxide (CO2) emissions for a panel of 25 countries over a period…

1994

Abstract

Purpose

The paper aims to study the relationship between economic growth, nuclear energy consumption and carbon dioxide (CO2) emissions for a panel of 25 countries over a period of 1993-2010. Through this study, the author has provided an insight into one of the available sources of energy, i.e. nuclear energy and its impact on economic growth and CO2 emissions.

Design/methodology/approach

Separate panels are created for developing and developed economies. Short- and long-run causalities between the variables are established using error correction mechanism.

Findings

For the developed countries, short-run causality running from CO2 emissions to economic growth was estimated, whereas strong form of causality indicated the dependence of CO2 emissions on economic growth and nuclear energy consumption was seen to impact CO2 emissions. For the developing countries, both the short-run and strong-form causality estimates indicate that economic growth causes CO2 emissions.

Practical implications

On policy front, developing countries can safely adopt CO2 cut-back policies as they are not found to impact economic growth. For the developed countries, such policies may impede growth in the short run, but in the long run these policies do not affect the economic growth.

Originality/value

Keeping in mind the significance of nuclear energy consumption in economic growth and less/no GHG emissions generated by nuclear energy, this study validates its significance. This study, to the best of the author's knowledge, considers the largest panel (i.e. 25 countries) to date and the only study that focuses on studying three different panels (complete dataset, developed countries, developing countries) in one study and applies the vector error correction mechanism to study the causal relationship between nuclear energy consumption, CO2 emissions and economic growth.

Details

Journal of Economic Studies, vol. 40 no. 6
Type: Research Article
ISSN: 0144-3585

Keywords

Article
Publication date: 1 March 2002

Fouad K. AINajjar

This study examines the cross‐sectional relationship between economic growth and variables suggested by the economic literature as affecting economic growth. The results…

Abstract

This study examines the cross‐sectional relationship between economic growth and variables suggested by the economic literature as affecting economic growth. The results show that economic freedom, in addition to known macroeconomic variables, is significantly related to economic growth.

Details

Review of Accounting and Finance, vol. 1 no. 3
Type: Research Article
ISSN: 1475-7702

Article
Publication date: 18 May 2010

Stanislav Ivanov and Craig Webster

The aim of this paper is to present a methodology for the decomposition of economic growth by industry which allows interindustry comparisons.

1346

Abstract

Purpose

The aim of this paper is to present a methodology for the decomposition of economic growth by industry which allows interindustry comparisons.

Design/methodology/approach

The paper uses the growth decomposition methodology developed by Ivanov and Ivanov and Webster for tourism and generalizes it for all industries in the national economy.

Findings

The methodology is exemplified with analysis of the contribution of specific industries to economic growth in Bulgaria for the period 2000‐2005. However, the model presents an approach that is general and can be applied to other countries and industries.

Research limitations/implications

The methodology identifies the direct impacts of specific industries on the per capita growth of real gross domestic product/gross value added. Future research might integrate indirect and induced effects in the analysis. The methodology could be further refined by decomposing the gross domestic product/gross value added to their constituent elements.

Practical implications

The paper identifies the industries in the Bulgarian economy that generate economic growth.

Originality/value

The paper introduces a new methodology for measuring the contribution of specific industries to economic growth. It might be of value to both academics and macroeconomic policy makers.

Details

Journal of Economic Studies, vol. 37 no. 2
Type: Research Article
ISSN: 0144-3585

Keywords

Article
Publication date: 25 July 2022

Jean-Joseph Minviel and Faten Ben Bouheni

Research and development (R&D) is increasingly considered to be a key driver of economic growth. The relationship between these variables is commonly examined using linear…

Abstract

Purpose

Research and development (R&D) is increasingly considered to be a key driver of economic growth. The relationship between these variables is commonly examined using linear models and thus relies only on single-point estimates. Against this background, this paper provides new evidence on the impact of R&D on economic growth using a machine learning approach that makes it possible to go beyond single-point estimation.

Design/methodology/approach

The authors use the kernel regularized least squares (KRLS) approach, a machine learning method designed for tackling econometric models without imposing arbitrary functional forms on the relationship between the outcome variable and the covariates. The KRLS approach learns the functional form from the data and thus yields consistent estimates that are robust to functional form misspecification. It also provides pointwise marginal effects and captures non-linear relationships. The empirical analyses are conducted using a sample of 101 countries over the period 2000–2020.

Findings

The estimates indicate that R&D expenditure and high-tech exports positively and significantly influence economic growth in a non-linear manner. The authors also find a positive and statistically significant relationship between economic growth and greenhouse gas emissions. In both cases, the effects are higher for upper-middle-income and high-income countries. These results suggest that a substantial effort is needed to green economic growth. Internet access is found to be an important factor in supporting economic growth, especially in high-income and middle-income countries.

Practical implications

This paper contributes to underlining the importance of investing in R&D to support growth and shows that the disparity between countries is driven by the determinants of economic growth (human capital in R&D, high-tech exports, Internet access, economic freedom, unemployment rate and greenhouse gas emissions). Moreover, since the authors find that R&D expenditure and greenhouse gas emissions are positively associated with economic growth, technological progress with green characteristics may be an important pathway for green economic growth.

Originality/value

This paper uses an innovative machine learning method to provide new evidence that innovation supports economic growth.

Details

The Journal of Risk Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1526-5943

Keywords

Article
Publication date: 29 March 2022

Maha Elhini and Yara Mourad

This paper aims to examine the relationship between knowledge-economy and economic growth in 16 Asia-Pacific (AP) countries during the period 2011–2018. The study also…

Abstract

Purpose

This paper aims to examine the relationship between knowledge-economy and economic growth in 16 Asia-Pacific (AP) countries during the period 2011–2018. The study also aims to investigate a diversity of knowledge-economy pillars, including tertiary education, domestic innovation, foreign innovation, economic incentives and institutional regime and information and communications technologies (ICTs) and their relation to economic growth.

Design/methodology/approach

The study applies a comparative empirical analysis using pooled ordinary least squares (OLS), one-step difference generalised methods of moments (GMM) and bias-corrected least-squares dummy variables (LSDVc) estimators to test this relationship.

Findings

Pooled OLS estimators deemed suboptimal to the panel data under study, while GMM results reveal a significant relationship between tertiary education, domestic and foreign innovation, government expenditure and investments with economic growth. Of these results, domestic innovation, investments and government consumption are positively correlated with economic growth, whereas tertiary education and foreign innovation show a negative relation. Meanwhile, institutions and ICT have insignificant relationships with economic growth. LSDVc results coincide with GMM results with respect to tertiary education, whereas institutions is the only additional significant and negatively correlated variable with economic growth.

Research limitations/implications

The main limitation of this research lies in the unavailability of proxy data for knowledge economy pillars in monetary terms, and hence, the paper relies on indices.

Originality/value

The novelty of the study lies in its aim to investigate economic growth in the AP region that is enhanced by domestic innovation, foreign innovation or both – an area which is empirically understudied in the knowledge-economy context. Further, the paper’s novelty lies in its application of a comparative empirical analysis between the most popular dynamic panel estimators – dynamic GMM and bias-corrected LSDVc for AP countries.

Details

Journal of Chinese Economic and Foreign Trade Studies, vol. 15 no. 2
Type: Research Article
ISSN: 1754-4408

Keywords

Book part
Publication date: 7 December 2001

Sardas M.N. Islam

Abstract

Details

Optimal Growth Economics: An Investigation of the Contemporary Issues and the Prospect for Sustainable Growth
Type: Book
ISBN: 978-0-44450-860-7

1 – 10 of over 130000