scholarly journals Economic Growth, Agricultural Output and Tourism Development in Nigeria: An Application of the ARDL Bound Testing Approach

2018 ◽  
Vol 9 (4) ◽  
pp. 786
Author(s):  
Adedoyin Isola LAWAL ◽  
Abiola John ASALEYE ◽  
Joseph ISEOLORUNKANMI ◽  
Olabisis Rashidat POPOOLA

Drawing from three tourism-growth theories: tourism led growth theory; growth led tourism theory; tourism – growth neutrality theory; and one agriculture-growth nexus theory – agriculture overlapping theory, this study used the autoregressive distributed lag (ARDL) bound testing approach to examine whether or not cointegration exist among economic growth, agricultural output and tourism development in Nigeria. We intend to know what policy instruments need to be manipulated so as to achieve economic growth, increase agricultural output and enhance tourism development. From the results, it is evidence that a two –way cointegration exists between economic growth and agricultural output on the one hand, and between economic growth and tourism development on the other hand. The study also observed that a compelling long run relationship exist between agricultural output and tourism development. To achieve sustainable economic growth, policy makers are advised to pursue heavy investment in the tourism industry, adopts improved farming strategies driven by simple technology among others.

2020 ◽  
pp. 135481662093848
Author(s):  
Ramzi Benkraiem ◽  
Amine Lahiani ◽  
Anthony Miloudi ◽  
Muhammad Shahbaz

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.


2018 ◽  
Vol 7 (4) ◽  
pp. 7-12
Author(s):  
Konstantinos Spinthiropoulos ◽  
Alexandros Garefalakis ◽  
Dimitrios Charamis ◽  
Georgios Gerakis ◽  
Anastasios Konstantinidis

The purpose of the study is to examine the relationship that exists between tourism, money supply and construction, on the one hand, and the economic growth in Greece, using a multivariate autoregressive model VAR. The long-term relation based on the Cointegration test results has shown the existence of a long run relation despite the prolonged economic recession. The analysis was carried out for the period from 1965 to 2015. The empirical results show that the economy of Greece can recover and return to long run equilibrium with a speed of adjustment reaching 3,60 % per year. The global economic crisis has undoubtedly affected the Greek economy. Long before the onset of the economic crisis, Greece applied a model of economic growth that relied on the growth of the manufacturing sector. In particular, the development of the construction sector was the engine of the Greek economy. However, through our analysis, it turns out that the engine for the development of the Greek economy is tourism rather than construction. The relationship between construction and the supply of money in Greece’s GDP is positive. However, the dynamics of the tourism industry stand out in comparison to the other areas examined.


2020 ◽  
pp. 097215092092543 ◽  
Author(s):  
Zouheir Mighri ◽  
Hanen Ragoubi

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.


2018 ◽  
Vol 73 (2) ◽  
pp. 242-251 ◽  
Author(s):  
Phouphet Kyophilavong ◽  
John Luke Gallup ◽  
Teerawat Charoenrat ◽  
Kenji Nozaki

Purpose The purpose of this paper is to investigate the tourism-led growth hypothesis in Laos. Design/methodology/approach The authors test the tourism-led growth hypothesis using autoregressive distributed lag (ARDL) cointegration estimation (Pesaran et al., 2001) and Granger causality tests. Findings The results of this paper show that when tourism is forcing variable, there is no long-run relationship between tourism development and economic growth. The Granger causality test demonstrates that there is a uni-directional causality running from economic growth in tourism. Social implications The empirical results and policy recommendation may be useful for other small developing countries. Originality/value This study is the first study to investigate the relationship between tourism development and growth in Laos, using a relatively new econometric approach – ARDL bound testing.


2021 ◽  
Vol 27 (6) ◽  
pp. 1509-1538
Author(s):  
Daniel Badulescu ◽  
Ramona Simut ◽  
Ioana Mester ◽  
Simona Dzitac ◽  
Mariana Sehleanu ◽  
...  

The positive impact of the tourism industry on economic growth, revenues, infrastructure, employment, social inclusion and poverty reduction, although widely recognised, has been lately weighted against the appearance and exacerbation of several problems, such as: environmental footprint, increase of income inequality, cost increases related to solid waste collection, energy consumption, increased global CO2 emissions. On the other hand, the tourism sector is not just an active economic, societal, or environmental change agent; in turn, the tourism sector supports or is highly influenced by various factors, such as climate change, economic, political, or social factors. More recently, this industry has been highly impacted by the pandemic, technological developments and cultural trends. In this article we examined both the short and long-run relationship between tourism development and economic growth, CO2 emissions and energy consumption in European Union member states (EU27), by using the Principal Component Analysis (PCA) technique and autoregressive distributed lag (ARDL) model for panel data. The findings suggest that economic growth and energy consumption have a statistically significant impact on the tourism index both in the short and long-run, whereas CO2 emissions only have a significant impact upon the tourism index on the long run.


2021 ◽  
Vol 58 (1) ◽  
pp. 5908-5922
Author(s):  
Samoon Safiullah Et al.

This study explores the role of monetary policy instruments, particularly through the board money supply and inflation, in support of economic growth in Indonesia. The research base on the long-run co-integration approach using the data from 1970 to 2019. The goal of this study complies with applying the Autoregressive Distributed Lag (ARDL), and Error Correction Model (ECM), for finding out the long-run co-integration approach among dependents and independent variables. The research includes the Augmented Dickey-Fuller (ADF) unit root test for stationary analysis. The ECM results show that inflation plays a significant but negative role in economic growth in Indonesia. On the other hand, the money supply has also inversely related to the country's economic growth but not significant


2015 ◽  
Vol 7 (11) ◽  
pp. 1 ◽  
Author(s):  
Fuad M. Kreishan

<p>This paper empirically investigates the tourism-led-growth hypothesis (TLGH) in case of Bahrain. Using time series econometrics techniques the study examines the long run relationship between international tourism and economic growth in Bahrain by using Autoregressive Distributed Lag (ARDL) model over the period of 1990 to 2014. The results obtained from the analyses show that there is a positive relationship between tourism development and economic growth in Bahrain. Moreover, the results indicate that there is unidirectional Granger causality flow from tourism to economic growth in Bahrain. Hence, the development of tourism activity will thus have a positive impact on Bahrain economy. Our findings imply that Bahrain may enhance its economic growth by strategically strengthening the tourism industry in the country. <br /><strong></strong></p>


2021 ◽  
Vol 20 ◽  
pp. 751-771
Author(s):  
Ngozi Helen Oguchi ◽  
Fen Luo

Tourism industry has become one of the principal sources of economic growth and a viable platform of employment both in Africa and globally. Considering that economic growth and job creation are the focal points of sustainable development goals (SDGs), this study is focused on investigating the relationship they have with tourism in Nigeria. A gross domestic product (GDP) time series dataset is utilized to represent economic growth variable while, statistical data obtained from the WTTC is employed to denote Tourism revenues and arrivals in Nigeria. The study employed Autoregressive Distributed Lag (ARDL) bounds test of cointegration, the Error Correction model and Granger causality tests to empirically examine the impacts tourism has on economic growth and employment in the LACKET states of Nigeria for the period between 1999 to 2019. Generally, the investigations indicate that both in the short - and long - run, tourism is positively related to economic growth and employment rate in Nigeria. However, regarding short -run relationship, a lower positive link of tourism revenue is recorded.


2021 ◽  
Vol 12 (4) ◽  
pp. 100
Author(s):  
Lianfeng Zhang ◽  
Yuriy Danko ◽  
Jianmin Wang ◽  
Zhuanqing Chen

The relationship between tourism development and economic growth has been a hot topic in the field of tourism economy in recent years, and whether there is a long-term equilibrium relationship between tourism development variables and economic variables (usually GDP) is also a hot topic. By identifying the long-term equilibrium relationship between two variables, we can find the quantitative variation law (generally effect) of one variable with the other. Based on the vector autoregression of the time series data of China's tourism development from 2000 to 2019, it is found that there is a long-term equilibrium relationship between China's tourism foreign exchange income and domestic tourism gross income and their respective GDP, and the long-term effect is 99% respectively. Through the establishment of the VAR model for the development of China's tourism industry and economic growth, in the long run, they have a balanced relationship of mutual promotion, so as to further guide the development of China's tourism.


2019 ◽  
Vol 20 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Mohammad Haris Siddiqui ◽  
Zeeshan Atiq ◽  
Usman Azhar

This study attempts to explore first time ever the relationship between fish exports and economic growth of Pakistan by employing annual time series data for the period 1974–2013. Autoregressive distributed lag and Johansen and Juselius cointegration results confirm the existence of a positive long-run relationship among the variables. Further, the error correction model reveals that no immediate or short-run relationship exists between fish exports and economic growth. Different sensitivity analyses indicate that initial results are robust. Rolling window analysis has been applied to identify the yearly behaviour of fish exports, and it remains negative from 1979 to 1982, 1984 to 1988, 1993 to 1999, 2004 and from 2010 to 2013, and it shows positive impact from 1989 to 1992, 2000 to 2003 and from 2005 to 2009. Furthermore, the variance decomposition method and impulse response function suggest the bidirectional causal relationship between fish exports and economic growth. The findings are beneficial for policymakers in the area of export planning. This study also provides some policy implications in the final section.


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