IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v17y2011i4p933-942.html

Research Note: Long-Lasting Effects and Welfare Costs of Fluctuations

Author

Listed:
  • Lei Ping

Abstract

The tourism industry is growing rapidly but is also highly fluctuating. Using China's inbound tourism market as the object and based on the B–N data decomposition theory, this paper adopts the statistics of variance ratio to measure the long-lasting effects of stochastic fluctuations on China's inbound tourism industry. It also discusses the influences of stochastic fluctuations and the decreasing growth rate on the welfare of China's inbound tourism. The conclusion is that undoubtedly China's inbound tourism industry will continue to grow, but the impact of stochastic shocks will endure for a relatively long time. Twenty-four per cent of the long-term fluctuation of China's inbound tourism industry is the result of stochastic shocks, whose effect, in the short term, will continue to be reinforced. Though the elimination of fluctuations will increase welfare by 0.40%, lowering the growth rate will decrease welfare by a larger percentage. If the monthly growth rate decreases by 0.1%, welfare will fall by about 19.37%, 48 times the amount of welfare loss without fluctuation. Therefore, China's inbound tourism business should stick to the long-term policy of facilitating growth, while some administrative and legislative measures should be taken to address the negative impact of stochastic fluctuation appropriately.

Suggested Citation

  • Lei Ping, 2011. "Research Note: Long-Lasting Effects and Welfare Costs of Fluctuations," Tourism Economics, , vol. 17(4), pages 933-942, August.
    • Handle: RePEc:sae:toueco:v:17:y:2011:i:4:p:933-942
    DOI: 10.5367/te.2011.0061
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5367/te.2011.0061
    Download Restriction: no
    File URL: https://libkey.io/10.5367/te.2011.0061?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gordon, Robert J, 1990. "What Is New-Keynesian Economics?," Journal of Economic Literature, American Economic Association, vol. 28(3), pages 1115-1171, September.
    2. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October.
    3. Jaume Rossello-Nadal, 2001. "Forecasting Turning Points in International Visitor Arrivals in the Balearic Islands," Tourism Economics, , vol. 7(4), pages 365-380, December.
    4. James C. Morley & Charles R. Nelson & Eric Zivot, 2003. "Why Are the Beveridge-Nelson and Unobserved-Components Decompositions of GDP So Different?," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 235-243, May.
    5. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    6. Fernando Alvarez & Urban J. Jermann, 2004. "Using Asset Prices to Measure the Cost of Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1223-1256, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marlon Fritz & Thomas Gries & Yuanhua Feng, 2019. "Growth Trends and Systematic Patterns of Booms and Busts‐Testing 200 Years of Business Cycle Dynamics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(1), pages 62-78, February.
    2. Bruno Feunou & Jean-Sébastien Fontaine, 2021. "Debt-Secular Economic Changes and Bond Yields," Staff Working Papers 21-14, Bank of Canada.
    3. Fernando Alvarez & Urban J. Jermann, 2001. "The Size of the Permanent Component of Asset Pricing Kernels," NBER Working Papers 8360, National Bureau of Economic Research, Inc.
    4. Guillén, Osmani Teixeira de Carvalho & Issler, João Victor & Franco-Neto, Afonso Arinos de Mello, 2014. "On the welfare costs of business-cycle fluctuations and economic-growth variation in the 20th century and beyond," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 62-78.
    5. Robert J. Hodrick, 2020. "An Exploration of Trend-Cycle Decomposition Methodologies in Simulated Data," NBER Working Papers 26750, National Bureau of Economic Research, Inc.
    6. Ángel Guillén & Gabriel Rodríguez, 2014. "Trend-cycle decomposition for Peruvian GDP: application of an alternative method," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 23(1), pages 1-44, December.
    7. Perron, Pierre & Wada, Tatsuma, 2016. "Measuring business cycles with structural breaks and outliers: Applications to international data," Research in Economics, Elsevier, vol. 70(2), pages 281-303.
    8. Carl E. Walsh, 1987. "Monetary targeting and inflation: 1976-1984," Economic Review, Federal Reserve Bank of San Francisco, issue Win, pages 5-16.
    9. Quah, Danny, 1992. "The Relative Importance of Permanent and Transitory Components: Identification and Some Theoretical Bounds," Econometrica, Econometric Society, vol. 60(1), pages 107-118, January.
    10. Filippo Altissimo & Giovanni L. Violante, 2001. "The non-linear dynamics of output and unemployment in the U.S," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 461-486.
    11. Bergman, Michael, 1996. "International evidence on the sources of macroeconomic fluctuations," European Economic Review, Elsevier, vol. 40(6), pages 1237-1258, June.
    12. Frédéric Dufourt & Kazuo Nishimura & Alain Venditti, 2022. "Expectations, self-fulfilling prophecies and the business cycle," Working Papers hal-03923946, HAL.
    13. Chang, Yongsung & Kwark, Noh-Sun, 2001. "Decomposition of hours based on extensive and intensive margins of labor," Economics Letters, Elsevier, vol. 72(3), pages 361-367, September.
    14. Dezhbakhsh, Hashem & Levy, Daniel, 2022. "Interpolation and shock persistence of prewar U.S. macroeconomic time series: A reconsideration," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 213.
    15. Albers, Scott & Albers, Andrew, 2015. "On the mathematic prediction of economic and social crises: toward a harmonic interpretation of the Kondratiev Wave, revised and corrected, with a new appendix, February 12, 2015," MPRA Paper 62118, University Library of Munich, Germany.
    16. Robert J. Barro, 2009. "Rare Disasters, Asset Prices, and Welfare Costs," American Economic Review, American Economic Association, vol. 99(1), pages 243-264, March.
    17. Murray, Christian J. & Nelson, Charles R., 2000. "The uncertain trend in U.S. GDP," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 79-95, August.
    18. Renelt, David, 1991. "Economic growth : a review of the theoretical and empirical literature," Policy Research Working Paper Series 678, The World Bank.
    19. Luis Uzeda, 2022. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 25-53, Emerald Group Publishing Limited.
    20. Tommaso Proietti & Alessandra Luati, 2013. "Maximum likelihood estimation of time series models: the Kalman filter and beyond," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 15, pages 334-362, Edward Elgar Publishing.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:toueco:v:17:y:2011:i:4:p:933-942. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.