Structural change and economic growth in selected emerging economies

2015 ◽  
Vol 14 (2) ◽  
pp. 98-116 ◽  
Author(s):  
Muhamed Zulkhibri ◽  
Ismaeel Naiya ◽  
Reza Ghazal
Keyword(s):  
Economic Growth ◽  
Structural Change ◽  
Panel Cointegration ◽  
Growth Equation ◽  
Content Type ◽  
Long Run ◽  
Equilibrium Relationship ◽  
The Impact ◽  
The Relationship ◽  
Long Run Equilibrium

Purpose – This paper aims to investigate the relationship between structural change and economic growth for a panel of four developing countries, namely, Malaysia, Nigeria, Turkey and Indonesia over 1960-2010. Design/methodology/approach – The study extent the growth equation by incorporating degree of openness, labour and investment and construct structural change indices – modified Lilien index and the norm of absolute values. It utilizes the recently developed panel cointegration techniques to test and estimate the long-run equilibrium of the growth equation. Findings – The results confirm that structural change and economic growth are cointegrated at the panel level, indicating the presence of long-run equilibrium relationship. However, the impact of structural change on economic growth seems to be small and evolve slowly. Originality/value – The findings indicate the need for policymakers to identify the binding constraints that impede growth and the importance of institutionalize policy to encourage investment in productive sectors.

Determinants of capital structure; a sector-level analysis for Indian manufacturing firms

2020 ◽  
Vol 69 (5) ◽  
pp. 1033-1060 ◽  
Author(s):  
Ajaya Kumar Panda ◽  
Swagatika Nanda
Keyword(s):  
Capital Structure ◽  
Firm Value ◽  
Regression Models ◽  
Panel Cointegration ◽  
Manufacturing Firms ◽  
Content Type ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Long Run Equilibrium ◽  
Non Parametric

PurposeThe purpose of this paper is to empirically analyze the determinants of capital structure and their long-run equilibrium relationships with firm-specific and macroeconomic indicators for Indian manufacturing firms.Design/methodology/approachThe study is conducted using the panel semi-parametric and non-parametric regression models to identify the key determinants of capital structure. Panel cointegration models are also employed for analyzing the long-run equilibrium association of capital structure with its determinants.FindingsThe study finds that each manufacturing sector has unique determinants of capital structure. The debt level is significantly affected by asset tangibility, growth opportunity, effective tax rate, non-debt tax shield, cash flow, profitability, firm size, foreign investment, government borrowing, economic growth, and interest rate. All these firm-specific and macroeconomic variables have strong long-run equilibrium relationship with capital structure as a whole.Practical Implication of the StudyThe study analyzes the determinants of capital structure for eight manufacturing sectors of India, which helps firm managers and policy-makers to identify appropriate factors that maximize firm value. The sector-specific features of firms may lead to a new path with regard to corporate governance and ownership structure to enhance stakeholder's satisfaction.Originality/valueThe use of semi-parametric and non-parametric panel regression models to analyze the determinants of capital structure, and the use of panel cointegration approach to explore the long-run equilibrium relationship between the determinants and its factors are the unique contributions of the present research.

Reconsidering the role of Tobin’s Q

2015 ◽  
Vol 32 (2) ◽  
pp. 222-234 ◽  
Author(s):  
Mark J. Holmes ◽  
Nabil Maghrebi
Keyword(s):  
Error Correction ◽  
Tobin’S Q ◽  
Tobin's Q ◽  
Content Type ◽  
Investment Expenditure ◽  
Long Run ◽  
The Impact ◽  
The Relationship ◽  
Long Run Equilibrium ◽  
Real Investment

Purpose – The purpose of this study is to investigate nonlinearities in the behavior of investment expenditure. Conventional wisdom suggests that Tobin’s Q criterion is an important explanation of investment behaviour that bridges the financial and real sides of the economy. However, the empirical evidence in support of Q as a means of explaining aggregate business investment is rather weak. We answer a number of questions about the relationship between investment expenditure and Q. In particular, is the relationship governed by non-linearities? If so, what is the nature of the non-linearities present? Design/methodology/approach – The rationale for paying closer attention to non-linearities is based on the presence of information asymmetries and possible dependence of adjustments on non-linearities with respect to factors such as fixed costs, threshold effects and irreversibility, which are entertained in the investment literature. Using the non-linear vector error-correction model procedure advocated by Hansen and Seo, we show that in the context of the US economy, investment has a long-run relationship with Q that is based on threshold error correction. Findings – There are asymmetries present with respect to error correction or the speed of adjustment towards long-run equilibrium. We find that investment expenditure only responds significantly to long-run disequilibrium from Q during a particular regime. Such a regime is characterised by long-run disequilibrium based on high or rising investment expenditure compared with a relatively weak stock market. Originality/value – The authors provide new insights into the relationship between Tobin’s Q and real investment. In contrast to previous work, they find that error correction based on the adjustment of real investment is regime-specific and function of the size of departures from long-run equilibrium. The tests also allow for the identification of periods when error correction has occurred. Not only are these insights significant for future research on financial crises, market volatility and the impact of debt, but for policymaking purposes as well.

scholarly journals Economic growth and quality of institutions in 27 postsocialist economies

2020 ◽  
Vol 47 (4) ◽  
pp. 769-787
Author(s):  
Constantinos Alexiou ◽  
Sofoklis Vogiazas ◽  
Nikita Solovev
Keyword(s):  
Economic Growth ◽  
Panel Cointegration ◽  
Institutional Quality ◽  
Supporting Evidence ◽  
Causality Analysis ◽  
Content Type ◽  
Long Run ◽  
Quality Of Institutions ◽  
The Relationship

PurposeThe relationship between institutional quality and economic growth is revisited.Design/methodology/approachA panel cointegration methodology and causality analysis are applied to 27 postsocialist economies over the period from 1996 to 2016.FindingsUtilizing the Worldwide Governance Indicators as a means of assessing the quality of institutions, it is found that in the long run, economic growth is positively associated with the rule of law and voice and accountability. In the short run, regulatory quality retains a positive effect, but voice and accountability demonstrate a puzzling negative effect on economic growth that merits further analysis. In exploring the causal dimension of our variables, supporting evidence of the strong links between the quality of institutions and economic growth is provided, hence rendering robust results.Originality/valueTo the best of the authors’ knowledge, it is the first time that an ARDL methodological framework, which addresses potential endogeneity issues, is used to investigate the relationship between institutional quality and growth in the context of postsocialist economies.

scholarly journals The nexus between external debt, corruption and economic growth: evidence from five SSA countries

2018 ◽  
Vol 9 (3) ◽  
pp. 319-334 ◽  
Author(s):  
Waliu Olawale Shittu ◽  
Sallahuddin Hassan ◽  
Muhammad Atif Nawaz
Keyword(s):  
Economic Growth ◽  
External Debt ◽  
Negative Relationship ◽  
Panel Cointegration ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Cointegration Tests ◽  
The Impact ◽  
Ssa Countries

Purpose The purpose of this paper is to examine the impact of external debt and corruption on economic growth in the selected five Sub-Saharan African (SSA) countries, from 1990 to 2015. Design/methodology/approach Panel unit root and panel cointegration tests are employed to test for stationarity of the series and the long-run relationship, respectively. Fully modified OLS and dynamic OLS techniques are also employed to examine the long-run coefficients of the variables of the model, as well as panel Granger causality test, in order to examine the direction of causality among the variables. Findings The results indicate that there is a negative relationship between external debt and economic growth, as well as a bi-directional causality between the two variables. The findings also indicate a positive relationship between corruption and economic growth, as well as a uni-directional causality running from economic growth through corruption. Research limitations/implications The study recommends that the governments of the selected countries should address the menace of rising external debt through the adoption of other sources of capital for investment. Such include more openness of the economy for more capital, by easing restrictions on genuine imports and exports of valuable goods and services. It also suggests that the issue of corruption be tackled head-on, by such penalties that tend to make corruption less attractive. Originality/value While the relationship between economic growth and external debt, on the one hand, and corruption and economic growth, on the other hand, have received considerable attentions, the trio of external debt, corruption and economic growth have not been found combined in a model, to the best of the authors’ knowledge. Also, the countries under consideration, who jointly account for about 47 percent of the entire SSA countries’ stock of external debt, have not been jointly found in any recent panel studies involving the selected variables.

Long-run dynamics between CFP and CSP in the GCC banking sector: estimation of non-stationary heterogeneous panels allowing for cross-sectional dependence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Ben Douissa ◽  
Tawfik Azrak
Keyword(s):  
Financial Performance ◽  
Granger Causality ◽  
Banking Sector ◽  
Social Performance ◽  
Content Type ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Corporate Social ◽  
The Relationship ◽  
Long Run Equilibrium

Purpose Causality between corporate financial performance (CFP) and corporate social performance (CSP) has been extensively debated in previous research works; however, little research has been done to investigate the long-run dynamics between these two constructs. The purpose of this paper is to enrich the CFP–CSP literature by estimating the long-run equilibrium relationship between financial performance and social performance in the banking sector in the Gulf Cooperation Council countries over the period 2009–2019. Design/methodology/approach The paper adopts an approach that is primarily used in financial economics: first, the authors perform panel long-run Granger causality following Canning and Pedroni’s procedure to indicate the direction of the causal relationship. Second, the authors estimate an error correction model using Chudik and Pesaran’s (2015) dynamic common correlated effects mean group estimator to determine the sign of the relationship. Findings The present research findings prove the existence of a long-run equilibrium relationship between CFP and CSP, while indicating at the same time that panel Granger causality runs positively from CSP to CFP, which means that changes in CSP produce lasting changes in CFP. Practical implications The findings of the paper would guide strategists to build fit for purpose corporate social responsibility (CSR) strategies in their firms and establish a continuous investment in CSR activities in the long run rather than harshly investing in CSR activities in the short run. Originality/value To the best of the authors’ knowledge, this paper is the first one to address heterogeneity in long-run Granger causality tests to estimate the relationship between CSP and CFP.

The role of infrastructure on economic growth in belt and road participating countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mui-Yin Chin ◽  
Sheue-Li Ong ◽  
Chew-Keong Wai ◽  
Yee-Qin Kon
Keyword(s):  
Economic Growth ◽  
Capital Expenditure ◽  
Panel Cointegration ◽  
Infrastructure Development ◽  
Content Type ◽  
Long Run ◽  
Belt And Road ◽  
The Impact ◽  
Determinants Of Economic Growth

Purpose This study aims to delve deeply into the role of infrastructure on economic growth in 59 belt and road initiative (BRI) participating countries from various regions of the world as the main objective of BRI is to encourage the participating countries to improve investment and trade facilitation via infrastructure. Besides, the development of infrastructure is in line with the United Nations’ 2030 sustainable development goals (SDG). Design/methodology/approach This study encompasses all of the important physical infrastructure factors to compute a composite infrastructure index. Thereafter, this study used both the panel cointegration and the panel Granger causality tests to investigate the impact of the infrastructure index and other essential factors on economic growth. Findings The empirical results signify the importance of infrastructure development on economic growth in both the long-run and short-run. Besides, it is evident that capital, expenditure on health and education, as well as exports, will accelerate economic growth. Originality/value The findings of this study could contribute to the literature regarding BRI in two ways. First, it will provide insight to the policymakers of China and the BRI participating countries on whether infrastructure development is worthy of huge investment so as to enhance the success of the BRI. Second, the outcome of this study will give policymakers a better understanding of the determinants of economic growth, which, in turn, will help them in designing effective policies.

An econometric study of energy consumption, carbon emissions and economic growth in South Asia: 1972-2009

2014 ◽  
Vol 11 (3) ◽  
pp. 182-195 ◽  
Author(s):  
Harishankar Vidyarthi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
South Asia ◽  
Carbon Emissions ◽  
Content Type ◽  
Energy Mix ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run ◽  
Long Run Equilibrium

Purpose – The purpose of this paper is to empirically examine the relationship between energy consumption, carbon emissions and economic growth for a panel of five South Asian economies namely India, Pakistan, Bangladesh, Sri Lanka and Nepal over the period 1972-2009 within multivariate framework. Design/methodology/approach – The study uses Pedroni cointegration and Granger causality test based on panel vector error correction model to examine long-run equilibrium relationship and direction of causation in short run and long run between energy consumption, carbon emissions and economic growth in South Asia. Findings – Cointegration result indicates the long-run equilibrium relationship between economic growth, energy consumption and carbon emissions for panel. Causality results suggest that bidirectional causality exist between energy consumption-GDP, and unidirectional causality from carbon emissions to GDP and energy consumption in long run. However, energy consumption causes carbon emissions in short run. Practical implications – Implementing energy efficiency measures and reducing dependence on fossils fuels by scaling up carbon free energy resources like nuclear, renewables including hydropower in energy mix is necessary for sustainable and inclusive growth in the region. Originality/value – South Asia economies need to sacrifice economic growth for reducing the carbon emissions in long run if the region dependence on fossils fuels including coal, oil and natural gas in energy mix continues at same pace.

scholarly journals What is the relationship between FDI and economic growth? Evidence from EU15 countries

2020 ◽  
Vol 8 (1) ◽  
pp. 253-281
Author(s):  
Vlatka Bilas
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Panel Cointegration ◽  
Gdp Growth ◽  
Causality Test ◽  
Ardl Model ◽  
Long Run ◽  
Gdp Growth Rate ◽  
The Impact ◽  
The Relationship

The aim of the paper is to examine the relationship between foreign direct investment (FDI) and economic growth in EU15 countries over the period 2002-2018. EU15 makes a group of countries which entered the EU prior to the biggest enlargement in 2004, namely latest in 1995 (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Sweden and United Kingdom). Paper findings contribute to the existing literature on the impact of FDI on economic growth. It employs different unit root tests, panel cointegration test (ARDL model) and Granger causality. Estimated panel ARDL model found some evidence that there are long-run equilibrium between LogGDP, LogFDI and LogFDIP series. The rate of adjustment back to equilibrium is between 4.43% and 5.95%. The long-run coefficients are all positive, but not all of them are statistically significant. In case of LogFDIP series long-run coefficients are statistically significant, varying between 0.1226 and 0.4398. These coefficients indicate that 1% increase in LogFDIP (logarithm of FDI to GDP) increases LogGDP between 0.1226% and 0.4398%. Results of Dumitrescu-Hurlin panel causality test indicated that there is only unidirectional causal relationship from GDP growth rate to FDI growth rate, and from GDP growth rate to LogFDIP. Conclusively, there is only a weak evidence that FDI had statistically significant impact on the GDP in EU15 countries.

scholarly journals The impact of economic growth, trade openness and manufacturing on CO2 emissions in India: an autoregressive distributive lag (ARDL) bounds test approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yaswanth Karedla ◽  
Rohit Mishra ◽  
Nikunj Patel
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Trade Openness ◽  
The Body ◽  
Content Type ◽  
Body Of Knowledge ◽  
Long Run ◽  
Bounds Test ◽  
The Impact ◽  
The Relationship

PurposeThe purpose of this study is to examine the impact of economic growth, trade openness and manufacturing on CO2 emissions in India.Design/methodology/approachThe study employed autoregressive distributive lag (ARDL) bounds test approach and uses CO2 emissions, trade, manufacturing and GDP per capita to examine the relationship using an annual time series data from World Development Indicators during 1971 to 2016.FindingsResults depict that there exists a long-run relationship between CO2 emissions and other variables. Trade openness significantly reduces CO2 emissions, whereas manufacturing and GDP have a significant and positive impact on CO2 in the long run.Research limitations/implicationsThe findings of the study contribute to the body of knowledge by providing new evidence on the relationship between developmental metrics and the environment. These findings are critical for policymakers and regulatory bodies to focus on economic development without jeopardizing environmental degradation.Practical implicationsIn order to keep its commitment to sustainability, India needs to develop policies that encourage cleaner production methods and establishment of non-polluting industries. Simultaneously, it must disincentivize industries that emit CO2 by policy frameworks such as carbon taxes, pollution taxes or green taxes.Originality/valueNone of studies examine at how these environmental factors interact in India. Kilavuz and Dogan (2020) used the same variables, but their scope was limited to Turkey. As a result, the study is the first to examine this relationship for India, contributing to the body of knowledge on economic growth, manufacturing, trade openness and environmental concerns.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

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