scholarly journals The Relationship between Democracy and Economic Growth in Tunisia: An Application of Autoregressive Distributed Lag Model

2016 ◽  
Vol 4 (1) ◽  
pp. 137
Author(s):  
Lamia Arfaoui ◽  
Azza Ziadi ◽  
Sonia Manai
Keyword(s):  
Economic Growth ◽  
Negative Impact ◽  
Empirical Studies ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Lag Model ◽  
The Relationship

This paper aims to identify the nature of the relationship between democracy and economic growth. We will answer the question: Does democracy improve economic growth? We study the case of Tunisia during the period from 1980 until 2014; this country has experienced a democratic transition after the revolution of 14 th January 2011. Our study is divided into two parts. The first part is a literature review of overview on the causality between democracy and economic growth. The second part as an application uses the Autoregressive Distributed Lag Model (ARDL). The choice of the technical SARL aimed the study of the existence of a long-run equilibrium relationship between two variables in level, a procedure co-integration has been proposed by Pesaran et al (2001). The results of different empirical studies were inconclusive. Some generated a negative impact of democracy on growth while others showed the opposite. The empirical results of our work have shown that in a nascent democracy such is the case of Tunisia; democracy has no effect on economic growth in the short term.  It is to add an observation rate of GDP during the period post -revolution generated a sawtooth trend which demonstrates the unstable economic situation in the country.

scholarly journals The Nexus Between Taxation, Government Expenditure and Economic Growth in South Africa. A fresh evidence from combined cointegration test

2021 ◽  
Vol 39 (3) ◽  
Author(s):  
Delani Moyo ◽  
Ahmed Samour ◽  
Turgut Tursoy
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Government Expenditure ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Integration Test ◽  
Lag Model ◽  
The Relationship

The relationship between taxation, government expenditure and economic growth. is a widely debated issue in the literature. The aim of this research is to present a fresh evidence from the nexus of taxation, government expenditure and economic growth in for the period 1991-2018 in South Africa, using recently developed combined co-integration test. Autoregressive Distributed Lag model(ARDL) is utilized to examine coefficients between the variables in the short and long-run The newly advanced Bayer-Hacks (BH) combined co-integration approach is employed so as to verify the ARDL bounds result. The empirical results from ARDL model revealed that there is a positive and significant relationship between government expenditure and economic growth in both short and long run. In addition, the study shows that tax revenue has a significant positive relationship with the economic growth. Therefore, levels of taxation and government expenditure are favorable to the growth of economy in South Africa. The research proposed that decision makers in South Africa should pay more attention on Taxation and government expenditure policies and the gains from economic growth such as channel much of its expenditure towards the manufacturing and agricultural sectors, which have great potentials of increasing the supply of the products. Which in turn leads to reduce prices and increase in the rates of employment. This would, also make the country’s exports prices competitive.

Energy efficiency cycle and the export-oriented economic growth style in China

2021 ◽  
pp. 0958305X2110453
Author(s):  
Pengfei Sheng ◽  
Haohao Wei ◽  
Chunjie Lou
Keyword(s):  
Economic Growth ◽  
Energy Efficiency ◽  
Statistical Simulation ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Few studies addressed the relationship between the energy efficiency cycle and the export-oriented economic growth style, and our work aimed to contribute this research in the literature using China's dataset during 1985–2018. Results of the autoregressive-distributed-lag model there were two cycles in China's energy efficiency, and the first ranged from 1989 to 2002 while the second was over the period 2003–2012. Meanwhile, the estimations suggested that a 1% export increase was linked to a 0.107% increase in energy efficiency in the long run. However, the export was significantly and negatively associated with the short-run fluctuation of energy efficiency. As a result, the statistical simulation confirmed that export would raise the fluctuation range of energy efficiency.

scholarly journals The relationship between foreign direct investment, financial development and growth economic in Next-11 Countries: a PMG/ARDL estimation

Management ◽  
2021 ◽  
Vol 25 (1) ◽  
pp. 28-50
Author(s):  
Bilal Louail ◽  
Mohamed Salah Zouita
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Estimation Method ◽  
Distributed Lag ◽  
Dynamic Relationship ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Summary This study investigates the relationship between FDI, economic growth and financial development in the Next 11 countries. An analysis of the results was performed accordingly on the panel data gathered from the Next 11 countries from 1985 to 2019— using the Pooled Mean Group (PMG) estimation method and the Autoregressive Distributed Lag model approach (ARDL). The results indicate an impact of both economic growth and financial development on the FDI flows to the study of countries during the period between 1985 and 2019 in the long run, while no such proof is affirmed in the short run. This study’s contribution provides a better understanding of the dynamic relationship between FDI, economic growth, and financial development by providing decision-makers to understand the nature of the dynamic association between the study variables. This study provides empirical evidence about the association between inflows of FDI, economic growth and financial development within the context of the Next-11 countries. The previous literature lacks empirical study on the relationship between variables of study for the Next-11 countries.

scholarly journals The Relationship between Economic Development and Fatal Occupational Accidents: Evidence from Turkey

2017 ◽  
Vol 64 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Olcay Çolak ◽  
Serap Palaz
Keyword(s):  
Economic Development ◽  
Occupational Accidents ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Abstract Occupational accidents are among the most important issues of the agenda of working life in Turkey recently. Recently the causes and consequences of occupational accidents which are related to human, occupational and environmental factors have received great attention from the researchers but it has been paid little attention to focused on economic factors. The purpose of this paper is to make a contribution to redressing this gap by examining the relationship between fatal occupational accidents and economic development over the period of 1980 to 2012 for Turkey. In this context, bounds testing approach which is also known as autoregressive distributed lag model is performed. The results indicate the existence of positive relationship between gross domestic product per capita and fatal occupational accidents in the short-run while in the long run this turns out to be in a negative way via economic growth and changes in structure of the economy.

scholarly journals The Relationship between Economic Development and Fatal Occupational Accidents: Evidence from Turkey

2017 ◽  
Vol 64 (1) ◽  
pp. 19-31
Author(s):  
Olcay Çolak ◽  
Serap Palaz
Keyword(s):  
Economic Development ◽  
Occupational Accidents ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Abstract Occupational accidents are among the most important issues of the agenda of working life in Turkey recently. Recently the causes and consequences of occupational accidents which are related to human, occupational and environmental factors have received great attention from the researchers but it has been paid little attention to focused on economic factors. The purpose of this paper is to make a contribution to redressing this gap by examining the relationship between fatal occupational accidents and economic development over the period of 1980 to 2012 for Turkey. In this context, bounds testing approach which is also known as autoregressive distributed lag model is performed. The results indicate the existence of positive relationship between gross domestic product per capita and fatal occupational accidents in the short-run while in the long run this turns out to be in a negative way via economic growth and changes in structure of the economy.

Wagner’s Hypothesis: An Empirical Verification

2016 ◽  
Vol 6 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Masudul Hasan Adil ◽  
Aadil Ahmad Ganaie ◽  
B. Kamaiah
Keyword(s):  
Public Expenditure ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Indian Context ◽  
Long Run ◽  
Weak Evidence ◽  
Lag Model ◽  
Bounds Test ◽  
The Relationship

This study explores the relationship between public expenditure (PE) and gross domestic product (GDP) to verify whether the Wagner’s hypothesis holds good in the Indian context. We cover the period from 1970 to 2013 and use econometric tools like Autoregressive Distributed Lag Model (ARDL) test to check the long-run and causal relationship among the variables. The results of the bounds test suggest that there exists cointegration between PE and GDP, but we found weak evidence for Wagner’s hypothesis as well.

scholarly journals The Role of Stock Markets in Promoting Economic Growth in Malaysia: Islamic vis-vis Conventional

2015 ◽  
Vol 1 (1) ◽  
pp. 001 ◽  
Author(s):  
Muhamad Abduh ◽  
Raditya Sukmana
Keyword(s):  
Economic Growth ◽  
Stock Markets ◽  
Composite Index ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Lag Model ◽  
Data Coverage ◽  
The Relationship

The purpose of this study is to evaluate the dynamic effects of both Islamic and conventional stock markets development on the economic growth, particularly in Malaysia. The model estimation used to explain the relationship is the autoregressive distributed lag model with the variable of FTSE BM Emas Shariah Index to represent Islamic securities and FTSE BM Composite Index to represent the conventional. The data coverage is from Q1:2000 to Q4:2011. The result shows that there is no evidence of co-integration between the conventional markets and economic growth while there is a co-integration found between Islamic markets and economic growth. Moreover, the relationship between the development of the Islamic stock markets and economic growth occurs to be bidirectional.

A new look at the tourism development and economic growth nexus: International evidence

2020 ◽  
pp. 135481662093848
Author(s):  
Ramzi Benkraiem ◽  
Amine Lahiani ◽  
Anthony Miloudi ◽  
Muhammad Shahbaz
Keyword(s):  
Economic Growth ◽  
Relative Weight ◽  
Tourism Development ◽  
Tourism Industry ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Lag Model ◽  
Tourism Destinations

This article tests the relationship between tourism development and economic growth in major tourism destinations in the world. The study relies on the quantile autoregressive distributed lag model. The main findings show a nonlinear cointegrating relationship between tourism development and economic growth in France, Mexico, Spain, and Italy. Indeed, in these countries, the long-run cointegrating parameter and speed of adjustment parameter differ across quantiles of economic growth distribution. They also show a nonlinear contemporaneous and lagged influence of tourism development on economic growth except in China and Germany. These differences between countries may be attributed to differences in the relative weight of the tourism industry in the overall economy of each country, whereas the differences across quantiles may be explained by the negative externalities caused by tourism growth. These findings have important policy and decision implications because tourism has differing impacts on economic growth in the short and long run in major tourism destinations. Thus, they may have new and helpful insights in planning for tourism development policies that facilitate the stimulation of economic growth.

scholarly journals Revisiting the Contribution of Islamic Banks’ Financing to Economic Growth: The Indonesian Experience

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Indri Supriani ◽  
Bayu Arie Fianto ◽  
Najim Nur Fauziah ◽  
Ryan Rahmah Maulayati
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Substantial Contribution ◽  
Islamic Banks ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model

The contribution of Islamic banking towards economic growth remains debatable amongst academicians and practitioners. This study investigates the relationship between Islamic banks’ financing and economic growth in Indonesia which is the largest Muslim population country. This study adopts Autoregressive-Distributed Lag (ARDL) and utilizes time-series quarterly data from 2011Q1 to 2019Q3. The study uses four predictors: financing to deposit ratio; inflation; gross capital fixed formation; and trade openness. The results from the auto-regressive distributed lag model indicate that, in the long-run, Islamic banks' financing has a significant impact on the Indonesian economy. However, in the short-run, financing does not make a substantial contribution to Indonesian economic growth. The study’s key implication is that financing by Islamic banks still makes a limited contribution to economic growth in Indonesia. This study enhances the literature review, specifically on evaluating the contribution of Islamic banks towards economic growth. Numerous existing studies on this topic covering the crisis period data, which might suffer from data bias. Therefore, this study addresses this topic, excluding the global financial crises period such as 1998, 2008, and 2020, to demonstrate Islamic banks' evident contribution to Indonesian economic growth.

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