Smart Cities and a Stochastic Frontier Analysis: A Comparison among European Cities
The level of interest in smart cities is growing, and the recent literature on this topic (Holland, 2008; Caragliu et al., 2009, Nijkamp et al., 2011 and Lombardi et al., 2012) identifies a number of factors that characterise a city as smart, such as economic development, environment, human capital, culture and leisure, and e-governance. Thus, the smartness concept is strictly linked to urban efficiency in a multifaceted way. A seminal research for European policy conducted by Giffinger et al. (2007) defines a smart city on the basis of several intangible indicators, such as a smart economy, smart mobility, smart environment, smart people, smart living, and smart governance. These authors’ methodology results in a ranking of 70 European cities in terms of their smartness. Our aim is to verify the robustness of these smartness indicators in explaining the efficiency of the same sample of European cities. Using the concept of output maximising, we built a stochastic frontier function in terms of urban productivity and/or urban efficiency by assessing the economic distance that separates cities from being smart. Moreover, this approach, which distinguishes between inputs and efficiency, allows us to incorporate the smartness indicators into the systematic component within the error term. As a result, our conclusions identify a different ranking of European cities with respect to Giffinger et al. (2007)’s analysis, thereby highlighting the need for a better and more robust definition of these indicators.
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- Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1989.
"Production Frontiers With Cross-Sectinal And Time-Series Variation In Efficiency Levels,"
89-18, C.V. Starr Center for Applied Economics, New York University.
- Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
- Leonardo Meeus & Erik Delarue & Isabel Azevedo & Jean-Michel Glachant & Vitor Leal & Eduardo de Oliveira Fernandes, 2010. "Smart Cities Initiative: how to foster a quick transition towards local sustainable energy systems," RSCAS Working Papers 2010/70, European University Institute.
- Lombardi, P. & Giordano, S. & Caragliu, A. & Del Bo, C., 2011. "An advanced triple-helix network model for smart cities performance," Serie Research Memoranda 0045, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
- Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
- Ann Markusen, 2006. "Urban development and the politics of a creative class: evidence from a study of artists," Environment and Planning A, Pion Ltd, London, vol. 38(10), pages 1921-1940, October.
- Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
- Edward L. Glaeser & Charles Redlick, 2008. "Social Capital and Urban Growth," NBER Working Papers 14374, National Bureau of Economic Research, Inc.
- Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
- Berry, Christopher R. & Glaeser, Edward L., 2005. "Divergence of Human Capital Levels across Cities," Working Paper Series rwp05-057, Harvard University, John F. Kennedy School of Government.
- Christopher R. Berry & Edward L. Glaeser, 2005. "The Divergence of Human Capital Levels Across Cities," NBER Working Papers 11617, National Bureau of Economic Research, Inc.
- Christopher R. Berry & Edward L. Glaeser, 2005. "The Divergence of Human Capital Levels across Cities," Harvard Institute of Economic Research Working Papers 2091, Harvard - Institute of Economic Research.
- Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
- George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
- Evangelia Desli & Subhash C. Ray & Subal C. Kumbhakar, 2002.
"A Dynamic Stochastic Frontier Production Model with Time-Varying Efficiency,"
2003-15, University of Connecticut, Department of Economics.
- Evangelia Desli & Subhash Ray & Subal Kumbhakar, 2003. "A dynamic stochastic frontier production model with time-varying efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 623-626.
- Jesse M. Shapiro, 2006.
"Smart Cities: Quality of Life, Productivity, and the Growth Effects of Human Capital,"
The Review of Economics and Statistics,
MIT Press, vol. 88(2), pages 324-335, May.
- Jesse M. Shapiro, 2005. "Smart Cities: Quality of Life, Productivity, and the Growth Effects of Human Capital," NBER Working Papers 11615, National Bureau of Economic Research, Inc.
- Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
- Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
- Lars P. Feld & Gebhard Kirchgässner & Christoph A. Schaltegger, 2004. "Fiscal Federalism and Economic Performance: Evidence from Swiss Cantons," Marburg Working Papers on Economics 200420, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
- Kalirajan, K P & Shand, R T, 1999. " Frontier Production Functions and Technical Efficiency Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 13(2), pages 149-72, April.
- Caragliu, A. & Del Bo, C. & Nijkamp, P., 2009. "Smart cities in Europe," Serie Research Memoranda 0048, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Todd M. Gabe, 2006. "Growth of Creative Occupations in U.S. Metropolitan Areas: A Shift-Share Analysis," Growth and Change, Wiley Blackwell, vol. 37(3), pages 396-415.
- Robert G. Hollands, 2008. "Will the real smart city please stand up?," City, Taylor & Francis Journals, vol. 12(3), pages 303-320, December.
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