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How Does a City Benefit from Culture? Evidence from Milan

Author

Listed:
  • Riccardo, Borgoni
  • Alessandra, Michelangeli
  • Nicola, Pontarollo

Abstract

Cultural amenities are the expression of a cultural environment, given by a combination of aesthetics factors, styles, rhythms, behaviours, which contribute to make vibrant and more enjoyable a neighbourhood. Within the theoretical framework of the hedonic approach, we propose an empirical strategy to capture the multiple effects of cultural amenities. The results are used to determine whether cultural amenities are optimally provided by the municipality of Milan. It turns out that government should devote far more resources to culture.

Suggested Citation

  • Riccardo, Borgoni & Alessandra, Michelangeli & Nicola, Pontarollo, 2016. "How Does a City Benefit from Culture? Evidence from Milan," Working Papers 335, University of Milano-Bicocca, Department of Economics, revised 16 May 2016.
    • Handle: RePEc:mib:wpaper:335
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    1. P. C. Cheshire & E. S. Mills (ed.), 1999. "Handbook of Regional and Urban Economics," Handbook of Regional and Urban Economics, Elsevier, edition 1, volume 3, number 3.
    2. Frank Giarratani & Geoffrey J.D. Hewings & Philip McCann (ed.), 2013. "Handbook of Industry Studies and Economic Geography," Books, Edward Elgar Publishing, number 3542.
    3. Nicolas Gravel & Alessandra Michelangeli & Alain Trannoy, 2006. "Measuring the social value of local public goods: an empirical analysis within Paris metropolitan area," Applied Economics, Taylor & Francis Journals, vol. 38(16), pages 1945-1961.
    4. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    5. Walter Santagata, 2002. "Cultural Districts, Property Rights and Sustainable Economic Growth," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 26(1), pages 9-23, March.
    6. Andrés Rodríguez-Pose & Edna M. Villarreal Peralta, 2015. "Innovation and Regional Growth in Mexico: 2000–2010," Growth and Change, Wiley Blackwell, vol. 46(2), pages 172-195, June.
    7. Francesco Andreoli & Alessandra Michelangeli, 2014. "Welfare Measures to Assess Urban Quality of Life," Working Papers 278, University of Milano-Bicocca, Department of Economics, revised Jun 2014.
    8. Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2014. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 390-411, February.
    9. Walter Santagata, 2002. "Cultural districts, property rights, and sustainable economic growth," Others 0210004, University Library of Munich, Germany.
    10. Mirko Moro & Karen Mayor & Seán Lyons & Richard S J Tol, 2013. "Does the Housing Market Reflect Cultural Heritage? A Case Study of Greater Dublin," Environment and Planning A, , vol. 45(12), pages 2884-2903, December.
    11. Liv Osland, 2010. "Spatial Variation in Job Accessibility and Gender: An Intraregional Analysis using Hedonic House-Price Estimation," Environment and Planning A, , vol. 42(9), pages 2220-2237, September.
    12. Scott Orford, 2000. "Modelling Spatial Structures in Local Housing Market Dynamics: A Multilevel Perspective," Urban Studies, Urban Studies Journal Limited, vol. 37(9), pages 1643-1671, August.
    13. Kelvyn Jones & Nina Bullen, 1993. "A Multi-level Analysis of the Variations in Domestic Property Prices: Southern England, 1980-87," Urban Studies, Urban Studies Journal Limited, vol. 30(8), pages 1409-1426, October.
    14. Gelfand, Alan E. & Banerjee, Sudipto & Sirmans, C.F. & Tu, Yong & Eng Ong, Seow, 2007. "Multilevel modeling using spatial processes: Application to the Singapore housing market," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3567-3579, April.
    15. Goodman, Allen C. & Thibodeau, Thomas G., 1998. "Housing Market Segmentation," Journal of Housing Economics, Elsevier, vol. 7(2), pages 121-143, June.
    16. Gyourko, Joseph & Kahn, Matthew & Tracy, Joseph, 1999. "Quality of life and environmental comparisons," Handbook of Regional and Urban Economics, in: P. C. Cheshire & E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 3, chapter 37, pages 1413-1454, Elsevier.
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    More about this item

    Keywords

    culture; city; hedonic approach; multilevel models;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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