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Market Potential, Industrial Density and Revenue of Tourism Firms in China

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  • Yong Yang

    (Department of Tourism, Business School, East China Normal University, No 500 Dongchuan Road, 200241 Shanghai, China)

Abstract

China is a major source of empirical observations with which to test different hypotheses relative to tourism research. In this paper, the author constructs a spatial model of tourism industry development and, considering spatial distance, uses Chinese tourism panel data to analyse the relationship between market potential, industrial density and the revenue of tourism firms. The study provides evidence that tourism market potential and agglomeration density are statistically significant and quantitatively important in explaining the revenue of tourism firms. This finding is robust, controlling for input factor density and endogeneity using instrument variables. Tourism market potential is found to matter through the mechanisms promoted by new economic geography theory. The estimated coefficients are consistent with plausible values for the predication of the model.

Suggested Citation

  • Yong Yang, 2014. "Market Potential, Industrial Density and Revenue of Tourism Firms in China," Tourism Economics, , vol. 20(6), pages 1253-1275, December.
  • Handle: RePEc:sae:toueco:v:20:y:2014:i:6:p:1253-1275
    DOI: 10.5367/te.2013.0346
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    References listed on IDEAS

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    1. Edward L. Glaeser & Glenn Ellison, 1999. "The Geographic Concentration of Industry: Does Natural Advantage Explain Agglomeration?," American Economic Review, American Economic Association, vol. 89(2), pages 311-316, May.
    2. Larry Dwyer & Peter Forsyth (ed.), 2006. "International Handbook on the Economics of Tourism," Books, Edward Elgar Publishing, number 2827.
    3. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    4. Sophie Masson & Romain Petiot, 2009. "Can the high speed rail reinforce tourism attractiveness ? The case of the hagh speed rail between Perpignan (france) and Barcelona (Spain)," Post-Print hal-03062650, HAL.
    5. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    6. Rigall-I-Torrent, Ricard & Fluvià, Modest, 2011. "Managing tourism products and destinations embedding public good components: A hedonic approach," Tourism Management, Elsevier, vol. 32(2), pages 244-255.
    7. Sophie Masson & Romain Petiot, 2009. "Can the High Speed Rail reinforce tourism attractiveness? The case of the High Speed Railway section between Perpignan (France) and Barcelona (Spain)," Post-Print hal-02422659, HAL.
    8. Ian R. Gordon & Philip McCann, 2000. "Industrial Clusters: Complexes, Agglomeration and/or Social Networks?," Urban Studies, Urban Studies Journal Limited, vol. 37(3), pages 513-532, March.
    9. M. Thea Sinclair, 1997. "Tourism and Economic Development: A Survey," Studies in Economics 9703, School of Economics, University of Kent.
    10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. Isabel P. Albaladejo & Fuensanta Arnaldos & María Pilar Martínez-García, 2024. "Tourism distribution at competing destinations: Mobility changes and relocation," Tourism Economics, , vol. 30(2), pages 301-323, March.
    2. Claudio Calero & Lindsay W Turner, 2020. "Regional economic development and tourism: A literature review to highlight future directions for regional tourism research," Tourism Economics, , vol. 26(1), pages 3-26, February.

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