Building Synthetic Indicators For Aspects Of Territorial Capital Towards Their Impact On Regional Performance
Empirical analyses highlight local structural features (territorial capital) as constraints on regional growth and interregional convergence processes, but scant attention is devoted to traditional localised resources and specifically the natural and cultural heritage. However, only the application of know-how embodied in human capital to resources provides value. Specifically, heritage becomes economically relevant through human capital acting via tourist, recreational and cultural activities. Although, because of its service exporting nature, tourism contributes to economic growth and job creation similarly to manufacturing, the literature concerned manufacturing and rarely studied tourism or extended results to it. Besides, in Europe tourism is the market activity most favouring policentricity, territorial cohesion and equity. On the other hand, heritage valorisation responding to tourist service demand has adverse effects on development (congestion) and environmental quality / resource consumption (heritage dissipation); these partly offset strictly economic benefits and over time weaken the destinationâ€™s pull, hence its value and its populationâ€™s welfare. Our goal is to analyse the role of territorial capital, and specifically of intangibles such as natural and cultural capital, in regional growth processes and in local response processes to exogenous crises, by building a national database of territorial capital in Italian provinces, containing synthetic endowment indicators for natural and cultural heritage, human capital, and structure and distribution of tourism and leisure industries. Our methodology includes the application of multivariate analyses, with state-of-the-art techniques. We use available European and national databases, augmented by ad hoc integrations if and when needed. The study area is Italy; the optimal tier is NUTS3, i.e. provinces, in Italy. The time reference is 1990-2010, to ensure a structural long-term approach. The paper is organised in the following way: - an initial section outlines the original data on 103 provinces, providing 33 proxy indicators of which major univariate statistics and correlations are explored; - a first main section reduces indicators into 5 synthetic indicators, by means of factor analysis; - a second main section reduces provinces into 11 ideal types, by means of cluster analysis; - a final section compares and interprets results, also with reference to 2007-2009 economic dynamics.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kenneth Bailey, 1983. "Sociological classification and cluster analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 17(4), pages 251-268, August.
- Daniele Checchi, 2000.
"Does educational achievement help to explain income inequality?,"
Departmental Working Papers
2000-11, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
- Checchi, D., 2000. "Does Educational Achievement Help to Explain Income Inequality?," Research Paper 208, World Institute for Development Economics Research.
- Giulia Faggio & Kjell Salvanes & John Van Reenen, 2007.
"The Evolution of Inequality in Productivity and Wages: Panel Data Evidence,"
NBER Working Papers
13351, National Bureau of Economic Research, Inc.
- Giulia Faggio & Kjell G. Salvanes & John Van Reenen, 2010. "The evolution of inequality in productivity and wages: panel data evidence," Industrial and Corporate Change, Oxford University Press, vol. 19(6), pages 1919-1951, December.
- Giulia Faggio & Kjell G. Salvanes & John Van Reenen, 2007. "The evolution of inequality in productivity and wages: panel data evidence," LSE Research Online Documents on Economics 4558, London School of Economics and Political Science, LSE Library.
- Giulia Faggio & Kjell Salvanes & John Van Reenen, 2007. "The Evolution of Inequality in Productivity and Wages: Panel Data Evidence," CEP Discussion Papers dp0821, Centre for Economic Performance, LSE.
- Wößmann, Ludger, 2003.
"Specifying human capital,"
Munich Reprints in Economics
19660, University of Munich, Department of Economics.
- Trinh Le & John Gibson & Les Oxley, 2005. "Measures of human capital: A review of the literature," Treasury Working Paper Series 05/10, New Zealand Treasury.
- Anna Maria Falzoni & Mara Grasseni, 2005. "Home Country Effects of Investing Abroad: Evidence from Quantile Regressions," KITeS Working Papers 170, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Jun 2005.
- Alessandra Colecchia & George Papaconstantinou, 1996. "The Evolution of Skills in OECD Countries and the Role of Technology," OECD Science, Technology and Industry Working Papers 1996/8, OECD Publishing.
- Yeaple, Stephen & Helpman, Elhanan & Melitz, Marc, 2004.
"Export versus FDI with Heterogeneous Firms,"
3229098, Harvard University Department of Economics.
- James J. Heckman & Jora Stixrud & Sergio Urzua, 2006.
"The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior,"
NBER Working Papers
12006, National Bureau of Economic Research, Inc.
- James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
- Jehiel, Philippe, 1991. "Polycentric Spatial Development, Externalities and Cost-Benefit Analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 25(3), pages 193-208, October.
- Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, Oxford University Press, vol. 115(4), pages 1239-1285.
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