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Agglomeration and Club Goods in the Rural Accommodations Industry

Author

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  • Anat Tchetchik
  • Aliza Fleischer
  • Israel Finkelshtain

Abstract

Historically, rural areas have been the place where most of the population lived and made its living. As a result of various economic, demographic, social and cultural changes, the second half of the 20th century was characterized by structural change in many western rural regions. Within this transition the countryside evolves as a location for leisure, recreation and tourism (LRT). Today, rural LRT is a rapidly growing industry, considered as 'panacea' to the economic and social problems of many rural communities. However, being crucially dependent on the fragile rural environment, an excessive growth of the industry may results with negative externalities, which may destroy the very same amenities that attract visitors in the first place. Accordingly, many EU countries regulate and support the rural LRT since the 1990s. Focusing on the industry's popular product; rural accommodations (RA), one possible negative result at the village level occurs as the attractiveness of localities as well as agglomeration economies create incentives for more and more households to enter the industry up to a level that harms the club good amenities of the village. A sustainable development that maintains optimum density is hence required. In this pioneer study, a conceptual and empirical framework to address this issue is provided, and the density in the RA industry is analyzed. For this purpose, a regional equilibrium model, which accounts for agglomeration effects, club-good effects as well as product differentiation, was developed. The model was estimated using data on the Israeli rural accommodations market from 2000. Significant evidences for the existences of club-good and agglomeration externalities were found and quantified in the consumer preferences and the production of rural accommodations, respectively. Using simulation mechanism a justification for regulation in the RA industry at the very local level is provided and calibrated

Suggested Citation

  • Anat Tchetchik & Aliza Fleischer & Israel Finkelshtain, 2011. "Agglomeration and Club Goods in the Rural Accommodations Industry," ERSA conference papers ersa10p359, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa10p359
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    References listed on IDEAS

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    1. Pesaran, M Hashem & Smith, Richard J, 1994. "A Generalized R[superscript]2 Criterion for Regression Models Estimated by the Instrumental Variables Method," Econometrica, Econometric Society, vol. 62(3), pages 705-710, May.
    2. A Fleischer & Y Tsur, 2000. "Measuring the recreational value of agricultural landscape," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 27(3), pages 385-398, September.
    3. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    4. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171, Elsevier.
    5. Tchetchik, Anat & Fleischer, Aliza & Finkelshtain, Israel, 2006. "Differentiation And Synergies In Rural Tourism: Evidence From Israel," Discussion Papers 7178, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
    6. Cardell, N. Scott, 1997. "Variance Components Structures for the Extreme-Value and Logistic Distributions with Application to Models of Heterogeneity," Econometric Theory, Cambridge University Press, vol. 13(2), pages 185-213, April.
    7. Choi, Ki-Hong & Moon, Choon-Geol, 1997. "Generalized extreme value model and additively separable generator function," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 129-140.
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