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 Financial Development and Investment in Botswana: A Multivariate Causality Test

2018 ◽  
Vol 18 (2) ◽  
pp. 72-89
Author(s):  
Brian Muyambiri ◽  
Nicholas M. Odhiambo
Keyword(s):  
Causal Relationship ◽  
Financial Development ◽  
Bounds Testing ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Study Country ◽  
Short Run ◽  
Causality Model

Abstract This paper examines the causal relationship between financial development and investment in Botswana between 1976 and 2014. The autoregressive distributed-lag (ARDL) bounds testing approach and a trivariate Granger-causality model are employed. In order to capture the breadth and depth of the financial sector in the study country, both bank- and market-based financial development indices are used. The results show that there is a bidirectional Granger-causal relationship between both bank-based and market-based financial development and investment in the short run. In the long run, a distinct causal flow is found to prevail only from investment to bank-based financial development. Given the findings, the causal relationship between financial development and investment is not a given as implied in economic literature. For Botswana, policies that enhance both investment and market-based financial development should be employed in the short run.

scholarly journals Causality Between Public Debt, Public Debt Service and Economic Growth in an Emerging Economy

2020 ◽  
Vol 65 (1) ◽  
pp. 1-19
Author(s):  
Talknice Saungweme ◽  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Public Debt ◽  
Debt Service ◽  
Bounds Testing ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run

AbstractThis paper explores the causality between public debt, public debt service and economic growth in South Africa covering the period 1970 – 2017. The study employs the autoregressive distributed lag (ARDL) bounds testing approach to cointegration and the multivariate Granger-causality test. The empirical results indicate that there is unidirectional causality from economic growth to public debt, but only in the short run. However, the study fails to establish any causality between public debt service and economic growth, both in the short run and long run. In line with the empirical evidence, the study concludes that it is economic growth that drives public debt in South Africa, and that the causal relationship between public debt and economic growth is sensitive to the timeframe considered. The paper recommends policymakers in South Africa to consider growth-enhancing policies in the short run, since poor economic performances may lead to high public debt levels.

scholarly journals Electricity Consumption and Economic Growth in Jordan: Bounds Testing Cointegration Approach

2016 ◽  
Vol 12 (1) ◽  
pp. 429
Author(s):  
Al-Abdulrazag A. Bashier
Keyword(s):  
Economic Growth ◽  
Strong Support ◽  
Electricity Consumption ◽  
Bounds Testing ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run

The objective of this paper is to investigate the short-run and longrun causal relationships between electricity consumption and economic growth in Jordan between 1976 and 2013, utilizing the Autoregressive Distributed Lag (ARDL) model. Estimates revealed the existence of a longrun equilibrium relationship between the said variables. The VECM model results indicated a long-run, bidirectional causality between the two variables as seen from the negative and significant error correction terms. The results of Granger-Causality test within VECM disclosed a bidirectional weak and strong short-run causality between electricity consumptions per capita and economic growth. The estimation results provide a strong support for the feedback hypothesis in Jordan

scholarly journals Tourism and economic growth in Greece: An ARDL bound testing approach in a Kaldorian framework

2020 ◽  
Vol 70 (2) ◽  
pp. 215-227
Author(s):  
Konstantinos Spinthiropoulos ◽  
Christos Nikas ◽  
Eleni Zafeiriou
Keyword(s):  
Economic Growth ◽  
Testing Procedure ◽  
Bounds Testing ◽  
Speed Of Adjustment ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Tourism Sector ◽  
Short Run ◽  
The Relationship

AbstractThe purpose of the study is to examine the relationship between tourism development and economic growth in Greece, using the Autoregressive Distributed Lag (ARDL)-Bounds testing procedure. The present paper attempts to examine the relevance of the tourism led growth hypothesis according to the Kaldorian theory. The analysis was carried out for the period from 1963 to 2016 and involves the short-run as well as the log-run impact. As a proxy for the output of the tourism sector, its receipts are employed, while as an index for economic growth, the GDP is employed. The empirical results show that the economy of Greece can recover and return to the long-run equilibrium with a speed of adjustment 7.17% per year.

scholarly journals FDI location and exchange rates. is there really a relationship between the two?

2015 ◽  
Vol 13 (1) ◽  
pp. 642-651
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
South Africa ◽  
Exchange Rates ◽  
Coming Out ◽  
Causal Relation ◽  
Exact Nature ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run

The exchange rate led foreign direct investment (FDI), FDI led exchange rates and feedback effect hypotheses summarise the literature around the nature of the relationship between FDI and exchange rates. So many authors on this subject over a long period have been found to generally side with of the above-mentioned hypothesis or another without a consensus. Despite this lack of consensus with regard to the exact nature of the causal relation between these two variables, what is coming out clearly from the literature is that there indeed exist a relationship between FDI and exchange rates. The lack of consensus has prompted this current study that used the ARDL (Autoregressive distributed lag)-bounds testing approach. The study revealed the existence of causality from (1) the rand value to FDI in the long run and (2) FDI to the rand value only in the short run in South Africa. The author recommends that policies which strengthen the value of the rand should be put in place in order to attract FDI in the long run. The flow of FDI into South Africa will in turn not only stabilises the value of the rand.

scholarly journals The Causal Connection between CO2 Emissions and Agricultural Productivity in Pakistan: Empirical Evidence from an Autoregressive Distributed Lag Bounds Testing Approach

2019 ◽  
Vol 9 (8) ◽  
pp. 1692 ◽  
Author(s):  
Abdul Rehman ◽  
Ilhan Ozturk ◽  
Deyuan Zhang
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Food Grains ◽  
Long Run ◽  
Total Food ◽  
Short Run ◽  
Seed Distribution

The rapid agricultural development and mechanization of agronomic diligence has led to a significant growth in energy consumption and CO2 emission. Agriculture has a dominant contribution to boosting the economy of any country. In this paper, we demonstrate carbon dioxide emissions’ association with cropped area, energy use, fertilizer offtake, gross domestic product per capita, improved seed distribution, total food grains and water availability in Pakistan for the period of 1987-2017. We employed Augmented Dickey-Fuller and Phillips-Perron unit root tests to examine the variables’ stationarity. An autoregressive distributed lag (ARDL) bounds testing technique to cointegration was applied to demonstrate the causality linkage among study variables from the evidence of long-run and short-run analyses. The long-run evidence reveals that cropped area, energy usage, fertilizer offtake, gross domestic product per capita and water availability have a positive and significant association with carbon dioxide emissions, while the analysis results of improved seed distribution and total food grains have a negative association with carbon dioxide emissions in Pakistan. Overall, the long-run effects are stronger than the short-run dynamics, in terms of the impact of explanatory variables on carbon dioxide emission, thus making the findings heterogeneous. Possible initiatives should be taken by the government of Pakistan to improve the agriculture sector and also introduce new policies to reduce the emissions of carbon dioxide.

scholarly journals Agricultural exports and the growth of agriculture in India

2013 ◽  
Vol 59 (No. 5) ◽  
pp. 211-218 ◽  
Author(s):  
O. Ramphul
Keyword(s):  
Gross Domestic Product ◽  
Causal Link ◽  
Domestic Product ◽  
Bounds Testing ◽  
Causality Test ◽  
Vector Error Correction ◽  
Agricultural Exports ◽  
Distributed Lag ◽  
Long Run ◽  
Equilibrium Relationship

The study empirically investigates the causality between agricultural exports and gross domestic product (GDP) agriculture in India using the Granger causality test via Vector Error-Correction Model over the period 1970&ndash;1971 to 2009&ndash;2010. The results of unit-root tests suggest that the series of India&rsquo;s GDP agriculture and farm exports are integrated of order one. The results of the Auto Regressive Distributed Lag bounds testing approach to co-integration show that there is a positive and stable long-run equilibrium relationship between India&rsquo;s agricultural exports and GDP of agriculture. We find a unidirectional causal link running from farm exports to gross domestic product of agriculture. It indicates that in India, agricultural products export Granger causes the growth in GDP of agriculture, which supports the export-led growth hypothesis. It is suggested that in order to accelerate the agricultural growth rate in India, there is a need to implement the policies encouraging the agricultural exports. &nbsp;

scholarly journals The Effect of Higher Education on Growth: A Cointegration Analysis

2013 ◽  
Author(s):  
Murat Mustafa Kutlutürk ◽  
Hakan Kasım Akmaz ◽  
Ahmet Çetin
Keyword(s):  
Higher Education ◽  
Granger Causality ◽  
Cointegration Analysis ◽  
Annual Data ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

In this study the relationship between higher education and economic growth was investigated using annual data between 1988 and 2012 for Turkey. To see short and long run effects of higher education on growth the Autoregressive Distributed Lag (ARDL) testing approach was used. In this investigation ratio of higher education graduates in employment was used as an explanatory variable. Zivot and Andrews test was implemented for the variables. The long and short run effects of higher education on growth was found significant. Granger causality test was implemented and one way Granger causality from higher education to growth was determined.

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.

Electricity Consumption–Economic Growth Nexus: Evidence from ARDL Bound Testing Approach in the Tunisian Context

2020 ◽  
pp. 097215092092543 ◽  
Author(s):  
Zouheir Mighri ◽  
Hanen Ragoubi
Keyword(s):  
Economic Growth ◽  
Electricity Consumption ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Causality Tests ◽  
Short Run ◽  
Testing Approach ◽  
Causal Nexus

This article investigates the causal nexus between electricity consumption and economic growth in Tunisia for the period 1971–2013 by using autoregressive distributed lag (ARDL) bounds testing approach of cointegration and Granger causality tests. The empirical findings indicate the existence of a long-term relationship between electricity consumption and economic growth. Besides, they support the conservation hypothesis in the long run, while they confirm the growth hypothesis in the short run.

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