Volume 7 Number 9 (Sep. 2012)
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JCP 2012 Vol.7(9): 2152-2159 ISSN: 1796-203X
doi: 10.4304/jcp.7.9.2152-2159

Analysis of Causality between Tourism and Economic Growth Based on Computational Econometrics

Wang Liangju 1, Zhang Huihui 2, Li Wanlian 1
1School of Business Administration, Anhui University of Finance and Economics, Bengbu, Anhui, P. R. China
2School of Accounting, Anhui University of Finance and Economics, Bengbu, Anhui, P. R. China


Abstract—To investigate the causal relationship between China’s domestic tourism and economic growth, this paper performs co-integration analysis and Granger causality test by making use of annual time series data from 1984 to 2009. Co-integration analysis indicates that there are long-term and stable equilibrium relationships between the development of China’s domestic tourism and economic growth. The results from the ECM model indicate that there are short-term disequilibrium relationship between the development of China’s domestic tourism and economic growth. An adjustment mechanism from short term to long term in the relationship between the development of China’s domestic tourism and economic growth can be found in the ECM model. In addition, bidirectional Granger causality between China’s domestic tourism and economic growth is demonstrated. The development of China’s domestic tourism is the Granger cause of economic growth, China’s economic growth is the Granger cause of development of domestic tourism as well. Our findings imply that China may enhance its economic growth by strategically strengthening the tourism industry while not neglecting the other sectors which also promote growth.

Index Terms—Economic growth, domestic tourism, co-integration analysis, error correction model, Granger causality test.

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Cite: Wang Liangju, Zhang Huihui, Li Wanlian, "Analysis of Causality between Tourism and Economic Growth Based on Computational Econometrics," Journal of Computers vol. 7, no. 9, pp. 2152-2159, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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