scholarly journals Banking Sector Development, Inflation and Economic Growth in Asian Countries: A Panel Causality and Co-Integration Approach

2018 ◽  
Vol 8 (4) ◽  
pp. 384
Author(s):  
Muhammad Imran Nazir ◽  
Rehana Tabassam ◽  
Ifran Khan ◽  
Muhammad Rizwan Nazir
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Vital Role ◽  
Least Square ◽  
Policy Implications ◽  
Asian Countries ◽  
Ordinary Least Square ◽  
Long Run ◽  
Banking Sector Development ◽  
Integration Test

This study investigates the causal relationship between banking sector development, inflation, and economic growth for six Asian countries (Bangladesh, China, India, Malaysia, Pakistan and Sri Lanka) over the period of 1970-2016. Using a Pedroni panel, Kao co-integration test, Panel Granger causality-based Error Correction Model, Dynamic ordinary least square (DOLS), and Fully modified ordinary least square (FMOLS), this study finds that the development of the banking sector generally has a positive relationship with economic growth in the long-run. This results show that in the long-run, monetary policy play a vital role in the economic growth. This study also confirmed the response causality between the indicators of banking sector development and economic growth. Based on the empirical findings, this research provides important policy implications to the banking sector and economic supervisory bodies in order to achieve the long run economic growth.

scholarly journals AGRICULTURE EXPORT STIMULANT TO THE ECONOMIC AND FINANCIAL PERFORMANCE OF PAK

2021 ◽  
Vol 9 (2) ◽  
pp. 572-580
Author(s):  
Shaikh Muhammad Saleem ◽  
Muhammad Asif Shamim ◽  
Sayma Zia ◽  
Syed Waqar-ul-Hassan
Keyword(s):  
Economic Growth ◽  
Developing Economies ◽  
Least Square ◽  
Policy Implications ◽  
Series Data ◽  
Cumulative Sum ◽  
Agricultural Export ◽  
Ordinary Least Square ◽  
Agricultural Exports ◽  
Long Run

Purpose: The study examines how agricultural exports boost the economic growth of Pakistan in the long run and suggest policy implications during 1995-2018 using time series data. Methodology: Principal Component Analysis is used to construct an agricultural export index consisting of rice, raw cotton, fruits, and vegetables as variables. This quantitative study checked the structural stability of the model with cumulative-sum & cumulative-sum of the square. Rolling window analysis highlights the long-run yearly effect of the coefficient of the model. The result of variance decomposition method proof bidirectional causality where robust result proof using Fully modified ordinary least square and Dynamic ordinary least square techniques. Unit root at first difference proof stationery whereas cointegration has a long-run relationship between agricultural export and economic growth. Main Finding: The statistical estimation proofs the positive long-run association of agricultural exports with economic growth. Results explored a 26 percent increase in the economy of Pakistan by exporting agricultural goods. Application of this Study: This study helps to develop the economies if they face problems of low agricultural productivity. The agricultural export is sensitive to domestic indicators, and domestic policy can promote agricultural export, and create new potential markets. The originality of the Study: The study is suggested the agriculture techniques and their performance in developing economies.

scholarly journals Causal Nexus between Government Debt, Exports and Economic Growth for Three Eurozone Countries: A Panel Data Analysis

2016 ◽  
Vol 3 (1) ◽  
pp. 47
Author(s):  
Nikolaos Dritsakis ◽  
Pavlos Stamatiou
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Government Debt ◽  
The United States ◽  
Mortgage Market ◽  
Least Square ◽  
Policy Implications ◽  
Ordinary Least Square ◽  
Long Run ◽  
The Relationship

<em>The relationship between government debt, exports and economic growth has been the focus of a considerable number of academic studies in recent years. The economic crisis, which started in the United States mortgage market, quickly went global when mortgage-backed securities traded by financial institutions. Europe’s response was immediate regarding the measures to tackle the crisis. The establishment of common strategies was the long term goal of the European Union (EU). This paper examines the relationship between government debt, exports and economic growth in the EU countries with the highest level of government debt, using panel data over the period 1990-2014. The Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Square (DOLS) methods are used to estimate the long run relationship between the variables. In addition, the Vector Error Correction Model (VECM) is used in order to investigate the causal relationship between the examined variables. The empirical results of the study revealed that there are both short and long run relationships. Findings suggest that that there is a unidirectional causality running from exports to economic growth as well as from exports and economic growth to government debt. The results provide evidence to support the export led-growth hypothesis. Exports are an important factor for economic development. Moreover, the results reveal that government debt is affected by exports both directly and indirectly through economic growth. Policy implications are then explored in the conclusions.</em>

Financial inclusion and economic growth nexus: Evidence from SAARC countries

2020 ◽  
pp. 026272802096460
Author(s):  
Dharmendra Singh ◽  
Nikola Stakic
Keyword(s):  
Economic Growth ◽  
Regional Cooperation ◽  
Financial Inclusion ◽  
Least Square ◽  
Annual Data ◽  
Causality Test ◽  
Ordinary Least Square ◽  
Regression Methods ◽  
Long Run ◽  
Integration Test

This article examines the nexus between financial inclusion index and economic growth in all eight South Asian Association for Regional Cooperation (SAARC) countries, using annual data from 2004 to 2017. In order to determine the possible long-run relationship between these variables, the study adopted the Pedroni panel co-integration test and two types of co-integration regression methods, the Fully Modified Ordinary Least Square (FMOLS) and the Dynamic Ordinary Least Square (DOLS) methods. The Pedroni panel co-integration test confirms the existence of a long-run relationship between financial inclusion and economic growth in the SAARC countries. The coefficients of FMOLS and DOLS indicate that the index of financial inclusion and selected control variables together support economic growth. In addition, the Granger causality test confirmed bi-directional causality between FI and economic growth.

Is There an Export- or Import-led Growth in BRICS Countries? An Empirical Investigation

2018 ◽  
Vol 7 (1) ◽  
pp. 13-23 ◽  
Author(s):  
Ritu Rani ◽  
Naresh Kumar
Keyword(s):  
Economic Growth ◽  
Purchasing Power Parity ◽  
Current Account Deficit ◽  
Least Square ◽  
Power Parity ◽  
Ordinary Least Square ◽  
Brics Countries ◽  
Long Run ◽  
Integration Test ◽  
Percent Increase

At present, BRICS encompass 40 percent of the world’s population and account for nearly 30 percent of total global GDP in terms of purchasing power parity (PPP). This is the reason that the balance of global economic power is now shifting from United States and Europe to a number of fast growing and large developing countries like BRICS. The purpose of this article is to examine the relationship between export, import and economic growth in BRICS (especially Brazil, India and South Africa) using panel data from 1967 to 2014. The article applied the Pedroni’s panel co-integration test, fully modified ordinary least square (FMOLS), dynamic ordinary least square, and vector error correction model. The results of Pedroni’s co-integration test indicate that there exists long-run relationship between export, import, gross capital formation, and economic growth. In addition, bidirectional causality was found between export and economic growth, validating the export-led growth (ELG) and growth-led export (GLE) hypothesis. Moreover, the results of FMOLS imply that 1 percent increase in export will lead to a 0.44 percent increase in GDP per capita in the long-run. The study suggests that studied nations of BRICS should focus on export promotion strategy to reduce current account deficit.

scholarly journals Personal remittances, banking sector development and economic growth in Israel: A trivariate causality test

2015 ◽  
Vol 13 (1) ◽  
pp. 1014-1027
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Gdp Per Capita ◽  
Series Data ◽  
Long Run ◽  
Banking Sector Development ◽  
Integration Test ◽  
Short Run ◽  
Causality Relationship ◽  
Per Capita

The current study investigates the causal relationship between personal remittances and economic growth using Israel time series data from 1975 to 2011. In a bid to contain the omission-of-variable bias not addressed in many past studies on this topic, this study included banking sector development as a third variable in the relationship between personal remittances and economic growth to create a tri-variate causality framework. Personal remittances as a ratio of GDP, domestic credit to private sector by banks as a ratio of GDP and GDP per capita were used as proxies for personal remittances, banking sector development and economic growth respectively for the purposes of this study. It used the Johansen co-integration test to examine the existence of the long run relationship and vector error correction model (VECM) to determine the direction of causality between personal remittances, banking sector development and economic growth both in the long and short run. The findings reveal that: (1) there is a significant long run causality relationship running from GDP per capita and banking sector development towards personal remittances, (2) there is an insignificant long run causality relationship running from personal remittances and GDP per capita towards banking sector development, (3) there is no long run causality relationship running from personal remittances and banking sector development towards GDP per capita and there is no short run causality relationship between the three variables that were under study in Israel. The author therefore recommends the authorities of Israel to speed up the implementation of banking sector development and economic growth programmes in order to increase the quantity of personal remittances inflows

Foreign aid and growth nexus: empirical evidence from South Asian countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nihar Ranjan Jena ◽  
Narayan Sethi
Keyword(s):  
Economic Growth ◽  
Foreign Aid ◽  
South Asian ◽  
Least Square ◽  
Asian Countries ◽  
Content Type ◽  
Ordinary Least Square ◽  
Asian Region ◽  
Long Run ◽  
Short Run

PurposeThe purpose of this paper is to empirically examine the effectiveness of foreign aid in improving economic growth prospects in the South Asian region from 1996 to 2017.Design/methodology/approachA sample of eight South Asian countries for the period 1996–2017 is being considered for this study. This study uses various econometrics tools such as Pedroni and Johansen–Fisher panel cointegration test, panel fully modified ordinary least square and panel dynamic ordinary least square (PDOLS) to ascertain the long-run and short-run dynamics among the variables under consideration.FindingsThe empirical results found that long-run, as well as the short-run relationship, exist among foreign aid, economic growth, investment, financial deepening, price stability and trade openness of the South Asian economies. The authors also found unidirectional causality running from foreign aid to economic growth. Both the long-run relationship as well as short-run causality between foreign aid and economic growth is unequivocally positive.Originality/valueThis study uses a dynamic macroeconomic modeling framework to assess the impact of aid flows on economic growth in South Asian economies. Taking into account the diversity of level of growth experienced by the eight countries in the Asian region, this study uses an appropriate regression technique, i.e. PDOLS whose results are robust. Therefore, the policymakers in these countries are well-advised to implement suitable policy measures to ensure optimum utilization of foreign capital resources garnered by way of receipt of foreign aid and build on for stronger future economic growth.

scholarly journals Impacto das exportações de alta tecnologia no crescimento econômico: evidências empíricas do Paquistão

2017 ◽  
Vol 8 (1) ◽  
pp. 91 ◽  
Author(s):  
Muhammad Usman
Keyword(s):  
Economic Growth ◽  
World Bank ◽  
Time Span ◽  
Least Square ◽  
High Tech ◽  
Ordinary Least Square ◽  
Robust Standard Error ◽  
Long Run ◽  
Data Source ◽  
The Impact

The goal of this study is to explore the impact of high tech exports on economic growth of Pakistan. To examine this relationship, data are collected from World Bank database, State Bank of Pakistan data source and Statistical Bureau of Pakistan. Time span of study is consisting of 20 years from 1995 to 2014. By using ordinary least square (OLS) with robust standard error, results confirm that there is a positive and statistically significant impact of high tech exports on economic growth. Although Pakistan is an agriculture country and its economic growth is largely depend upon farming, but for long run economic growth, Pakistan has to increase its high tech exports.

scholarly journals Impact of Exchange Rate Management on the Nigerian Economic Growth: Empirical Validation

2019 ◽  
Vol 1 (2) ◽  
pp. 28-35
Author(s):  
Friday Osaru Ovenseri Ogbomo ◽  
Precious Imuwahen Ajoonu
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Inflation Rate ◽  
Government Expenditure ◽  
Least Square ◽  
Ordinary Least Square ◽  
Exchange Rate Management ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper examined the impact of Exchange Rate Management on economic growth in Nigeria between 1980 and 2015. The study was set to gauge how the management of exchange rate in Nigeria has impacted the economy. The study employed the Ordinary Least Square (OLS) method in its analysis. Co-integration and Error Correction Techniques were used to establish the Short-run and Long-run relationships between economic growth and other relevant economic indicators. The result revealed that exchange rate management proxy by various exchange rates regimes in Nigeria was not germane to economic growth. Rather, government expenditure, inflation rate, money supply and foreign direct investment significantly impact on economic growth in Nigeria. It is against this backdrop that the Nigerian economy must diversify her export base to create room for more inflow of foreign exchange.  

scholarly journals Impact of Domestic Public Debt on Economic Growth - An Empirical Study in the Indian Context

2016 ◽  
Vol 6 (4) ◽  
pp. 101-116
Author(s):  
Srinivasa Rao Gangadharan ◽  
Lakshmi Padmakumari
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Positive Impact ◽  
Least Square ◽  
Distributed Lag ◽  
Long Run ◽  
Domestic Debt ◽  
Integration Test ◽  
Ordinary Least Square Regression ◽  
The Impact

This study is an empirical investigation to assess the impact of domestic debt on India’s Economic growth during the period 1980 – 2014. We use data on Domestic Debt, Net Fiscal Deficit, Exports, Savings, Real Gross Domestic Product, Population and Terms of Trade. This study adopts the ARDL Co-Integration and Granger Causality techniques to investigate the relation between the key variables. The study also employs various post estimation tests to validate the fitness and stability of the models based on Gauss Markov assumptions, after employing the ordinary least square regression on various models. We find that debt negatively impacts economic growth while savings has a positive impact. The Auto Regressive Distributed Lag (ARDL) technique used to test the robustness suggests existence of co-integration among the variables. However, none of the long run co-efficient is significant. The granger causality and co-integration test results support the traditional view that debt negatively impacts economic growth.

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.

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