Does Governance Matter? Evidence from BRICS

2019 ◽  
pp. 097215091986122
Author(s):  
Bhanu Pratap Singh
Keyword(s):  
Economic Development ◽  
Panel Cointegration ◽  
Least Square ◽  
Economic Modelling ◽  
Causality Test ◽  
Brics Countries ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run ◽  
Long Run Equilibrium

The role of governance is widely debated in the process of economic development. The current study focuses on examining the growth and the governance relationship for BRICS countries utilizing the annual balanced panel data for the period spanning from 1997 to 2015. Per capita real GDP growth is taken as a proxy for economic growth and six World Bank Governance Indicators are used as a measure of governance. Pedroni (2004, Econometric Theory, 20, 597–625) panel cointegration technique and fully modified ordinary least square (FMOLS) are used to look into a long-run equilibrium relationship. Dumitrescu and Hurlin’s (2012, Economic Modelling, 29, 1450–1460) panel causality test is used as a short-run diagnostics test for long-run equilibrium relationship. The major findings of the study show that growth and governance are complementary to each other. In the long run, governance promotes and sustains high-income growth, whereas, in the short run, minimum economic development is required for better functioning of institutions.

Does transportation infrastructure impact economic growth in India?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sreenu Nenavath
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Positive Impact ◽  
Transport Infrastructure ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Determinants Of Economic Growth

Purpose This paper aims to show a long run and causal association between economic growth and transport infrastructure. Design/methodology/approach In this study, the authors use ARDL models through the period 1990 – 2020 to investigate the relationship between transport infrastructure and economic growth in India. Findings The infrastructure has a positive impact on economic growth in India for the long run. Moreover, Granger causality test demonstrates a unidirectional relationship between transport infrastructure to economic development. Stimulatingly, the paper highlights the effect of air infrastructure statistically insignificant on economic growth in the long and short-run period. Originality/value The original outcome from the study delivers an inclusive depiction of determinants of economic growth from transport infrastructure in India, and these findings will help the policymakers to frame policies to improve the transport infrastructure. Hence, it is proposed that the government of Indian should focus more to upsurge the transport infrastructure for higher economic development.

Panel Data Analysis of Financial Development, Trade Openness, and Economic Growth: Evidence from BRICS Countries

2018 ◽  
Vol 4 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Ritu Rani ◽  
Naresh Kumar
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Panel Cointegration ◽  
Least Square ◽  
Cointegration Test ◽  
Ordinary Least Square ◽  
Brics Countries ◽  
Long Run ◽  
Panel Granger Causality ◽  
Panel Cointegration Test

The purpose of this article is to investigate the possible cointegration and direction of causality between foreign direct investment (FDI) inflow, trade openness, and economic growth in BRICS countries using panel data from 1993 to 2015. Besides these variables, money supply and domestic credit (DC) to private players are also added in the model to examine the impact of financial openness on economic growth. The Pedroni’s panel cointegration test is used to examine the existence of long-run relationship, and coefficients of cointegration are examined by fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS). Further panel Granger causality test is used to examine the direction of causality among the competing variables. The results of Pedroni’s panel cointegration test indicate that there exists a long-run relationship among the variables under considerations in BRICS countries. The coefficient of FMOLS and DOLS indicates that trade openness has a positive impact on economic growth in BRICS countries while FDI inflow has a negative impact in these nations. In addition, the results of panel Granger causality confirmed bidirectional causality between FDI inflow and economic growth in the short run. The study recommends that BRICS countries should liberalize trade openness as it strengthens the position of member countries in the world economy.

scholarly journals Trade and economic development: global causality and development- and openness-related heterogeneity

2020 ◽  
Vol 17 (4) ◽  
pp. 923-944
Author(s):  
T. Gries ◽  
M. Redlin
Keyword(s):  
Economic Development ◽  
Trade Openness ◽  
Panel Cointegration ◽  
Ordinary Least Squares ◽  
Development Stage ◽  
Long Run ◽  
Short Run ◽  
Method Of Moments Estimation ◽  
General Method Of Moments ◽  
High Degree

Abstract This paper reconsiders the classic relationship between trade and economic development. We examine the short-term and long-run dynamics between trade and income for 167 countries over the period 1970–2011 and assume that the effect is not homogenous for all countries but rather varies according to the development stage and the degree of trade openness. We apply panel cointegration, Granger causality and panel error correction in combination with Dynamic Ordinary Least Squares and General Method of Moments estimation to explore the causal relationship between these two variables. The results suggest a statistically significant positive short-run and long-run global relationship between trade and income. However, when splitting the panel into different income and trade openness groups, a long-run relationship is observed only for high-income countries and countries with a relatively high degree of trade openness.

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.

scholarly journals IMPACT OF CAPITAL STRUCTURE ON THE PERFORMANCE OF QUOTED INSURANCE FIRMS IN NIGERIA

2021 ◽  
Vol 9 (07) ◽  
pp. 324-334
Author(s):  
Oluwaleye, Taiwo Olarinre ◽  
◽  
Kolapo, Funso Tajudeen (PhD) ◽  
Ajayi, Foluso Isaac ◽  
◽  
...  
Keyword(s):  
Firm Performance ◽  
Capital Structure ◽  
Granger Causality ◽  
Life Insurance ◽  
Panel Cointegration ◽  
Insurance Companies ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
The Impact

Evidence from the past studies revealed that capital structure has an impact on the firm performance. This research appraises the impact of capital structure on the performance of quoted life insurance companies in Nigeria from 2010 to 2019. The researchers used the panel cointegration model, autoregressive dynamic lag error correction model and pair wise granger causality test to measure the relationship among the variables. The study revealed that capital structure and firm performance has a long-run relationshipand 81% long run disequilibrium is corrected within a year. It was also apparent that there is a significant short run relationship between liquidity of life insurance and return on asset. The Granger causality outcome also shows that bidirectional causality exists between firm size (SIZE) and profitability (ROA) in the short run. We conclude that a large size of life insurance firm has more scope to make more profit in Nigeria context within the study period. The study recommended that to maximize firm’s performance managers must endeavor to obtain and maintain an optimum capital structure level among others.

Cointegration of Asian Stock Markets: Empirical Evidence from India

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Beeralaguddada Srinivasa Veerappa
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Markets ◽  
Causality Test ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run ◽  
Auto Regressive ◽  
Global Stock Markets ◽  
Indian Stock Market

At present stock return is significantly related to other global stock markets. The present paper empirically investigates the short run and long run equilibrium relationship between the stock market of India, Japan Hong Kong, Singapore, Malaysia, China, and Australia monthly data during January 1995 to December 2013. Researcher employs correlation test, multivariate co-integration framework, Vector Auto Regressive error-correction model and Granger causality test with reference to financial up evils in Asia and world viz., Asian crisis (1997/98), financial crisis (2008) Inflation conditions, Natural disasters, financial up evils etc. of long run relationship. Results find that the Indian stock market return is significantly co-integrated with long run and short run situations/causalities in Asian Stock returns.

Information and communication technologies and economic development in Africa in the short and long run

2019 ◽  
Vol 18 (2) ◽  
pp. 127-146 ◽  
Author(s):  
Olaniyi Evans
Keyword(s):  
Economic Development ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Least Square ◽  
Cross Sectional ◽  
Ordinary Least Square ◽  
Positive Effects ◽  
Long Run ◽  
Short Run ◽  
Information And Communication

This study investigates the relationship between information and communication technologies (ICTs) and economic development in Africa for the period 2001–15 using Fully Modified Ordinary Least Square (FMOLS) and panel Granger analysis, which accounts for cross-sectional dependence. The empirical results show that ICTs have significant positive effects on economic development. Similarly, the results show that ICTs lead to economic development and economic development also leads to greater investment in ICTs both in the short and in the long run. ICTs therefore play significant roles in economic development and in turn economic development plays significant roles in the expansion of ICTs in Africa both in the short and in the long run. The study concludes that the rapid growth of mobile telephony and Internet penetration in Africa can be used to promote the needed economic development in the continent not only in the short run but also in the long run.

scholarly journals Modelling the Temporal Effect of Terrorism on Tourism in Kenya

2016 ◽  
Vol 8 (12) ◽  
pp. 10 ◽  
Author(s):  
Brian K. Masinde ◽  
Steven Buigut ◽  
Joseph K. Mung'atu
Keyword(s):  
Testing Procedure ◽  
Tourism Industry ◽  
Bounds Testing ◽  
Causality Test ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Long Run Equilibrium

<p>Terrorist attacks have escalated over the recent years in Kenya, with adverse effects on the tourism industry. This study aims to establish if a long-run equilibrium exists between terrorism and tourism in Kenya between the years 1994 and 2014. To reinforce the robustness of the results, both Autoregressive Distributed Lag (ARDL) bounds testing and the Vector Error Correction Model (VECM) techniques are used to investigate the problem. A Granger causality test is also carried out to ascertain the direction of the relationship if one exists. The evidence from ARDL and the VECM testing procedure suggest that there is no long-run equilibrium between terrorism and tourism in Kenya. Terrorism does not Granger cause tourism and vice versa. However, short-run effect indicates that terrorism negatively and significantly affects tourism.</p>

scholarly journals An analysis of IT software and service exports from India

2020 ◽  
Vol 4 (1) ◽  
pp. 3-25
Author(s):  
Manzoor Hassan Malik ◽  
Nirmala Velan
Keyword(s):  
Human Capital ◽  
Exchange Rate ◽  
Error Correction ◽  
Content Type ◽  
Long Run ◽  
External Demand ◽  
Equilibrium Relationship ◽  
Short Run ◽  
The Given ◽  
Long Run Equilibrium

PurposeThe aims of the paper are to investigate IT software and service export function for India. First, cointegration tests have been used to investigate the long-run equilibrium relationship of the given variables. Second, long-run coefficients and associated error correction mechanism are estimated.Design/methodology/approachAnnual time series data on IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index have been used for the present study during the period 1980–2017. The data are collected from the National Association of Software and Service Companies (NASSCOM), Planning Commission of India, University Grants Commission (UGC) of India, real effective exchange rate (REER) database and World Bank development indicators. Auto regressive distributed lag (ARDL) model is used to analyze both short-run and long-run dynamic behaviour of economic variables with appropriate asymptotic inferences.FindingsResults of the analysis show the stable long-run equilibrium relationship among the given variables. It is found that external demand, exchange rate, human capital and openness index have a substantial long-run impact on the IT software and service exports. We also found that the coefficient of error correction term is negative and significant at 1% of the level of significance, which confirms the existence of stable long-run relationship which means adjustment will take place when there is a short-run deviation to its long-run equilibrium after a shock.Research limitations/implicationsThere may be other determinants of software and service exports apart from those considered by the present study. Due to the non-availability of data, the study considers only important determinants that determine the software and service exports in India. The IT exports are an emerging and dynamic field of economic activity and the rate of change is so rapid that the relevance of individual factors may change over time. The study period is also limited to available data.Practical implicationsThe paper has implications for achieving sustainability in IT software and service exports growth. It is recommended that policies directed at improving the performance of IT software and service exports should largely consider the long-run behaviour of these variables.Originality/valueThis paper focuses on originality in the analysis of the relationship among the given variables including IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index in India. All the work has been done in original by the authors, and the work used has been acknowledged properly.

scholarly journals Cointegration analysis of stock market index and exchange rate: The case of Serbian economy

2021 ◽  
pp. 59-71
Author(s):  
Milena Marjanović ◽  
Ivan Mihailović ◽  
Ognjen Dimitrijević
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Market Index ◽  
Market Index ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run ◽  
The Exchange Rate ◽  
Adf Test ◽  
Long Run Equilibrium

Since the late 90's, the existence and direction of causality between the capital market and foreign exchange market have attracted significant attention of theoretical and empirical researchers. This is because both of these financial variables have an indisputable role in the development of each country's economy. In this paper we use Johansen procedure and Granger causality test to examine the existence and direction of short-run and long-run dynamics between the leading stock market index BELEX15 and RSD/EUR exchange rate in Serbia. Using ADF test we find that both series are integrated of order one, and since the value of Johansen trace statistics confirmed the existence of cointegration, we have proceeded with estimation of the VECM model. According to our VECM model, the BELEX15 index adjusts to the long-run equilibrium relationship at a rate of 11.72% in each period, while the exchange rate adjusts to the long-run equilibrium relationship at a rate of 2.73%. We also find that there is unidirectional causality and that the market index influences the exchange rate movements in the short-run in terms of Granger.

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