Smart City Puebla: measuring smartness

Authors

DOI:

https://doi.org/10.5585/riae.v20i1.15793

Keywords:

Smart city, Principal components analysis, Inequality, Public services, Emerging markets

Abstract

Objective of the study: this empirical study revisits the meaning and scope of the ‘smart city’ concept, measuring ‘smartness’ in an emerging market setting.

Methodology / approach: a data reduction exercise is conducted through a principal component analysis of 22 smart city variables and a two-step cluster analysis for the 217 municipalities of the State of Puebla (Mexico), so as to identify the defining challenges to ‘smartness’ in a developing economy city.

Originality / Relevance: the prevailing models that measure urban ‘smartness’, notably Giffinger’s and Cities in Motion, arguably miss to capture the socioeconomic challenges of cities in a developing market context.

Main results: two distinctive factors emerge from the data reduction exercise, namely ‘marginalization’, referring to social and economic inequalities, and ‘access to services’, particularly public health and education, to define the challenges emerging market cities would need to address in their path to ‘smartness’.

Theoretical / methodological contributions: we introduce a revised approach to measure city ‘smartness’, claiming that access to public services (education and health) helps reduce social inequality and marginalization, which are core indicators to redefine smart cities in emerging markets.

Social / management contributions: even if the analysis is carried out on data from a single region, our findings could be a meaningful input to a more generalizable model to measure city ‘smartness’ in emerging markets, with implications to multiple stakeholders, particularly policy-makers, suggesting basic inequalities and access to education and health services should be addressed, before attempting to improve traditional smart city indicators. 

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Author Biographies

Stephanie Garcidueñas Nieto, University of Vienna - IIASA

Master's degree in Latin American Studies, University of Vienna - IIASA

Pablo Collazzo Yelpo, Danube University Krems

Full Professor in Economics, Danube University Krems

Katya Pérez Guzmán, FLACSO

Ph.D. in environmental, FLACSO

References

Alvarado, R. (2018). Ciudad inteligente y sostenible: Hacia un modelo de innovación inclusiva. Smart and sustentable city: Towards an inclusive innovation model. https://www.redalyc.org/pdf/4990/499054325001.pdf.

Capdevila, I., & Zarlenga, M. (2015). Smart city or smart citizens? The Barcelona case. https://ssrn.com/abstract=2585682.

Caragliu, A., Del Bo, C., & Nijkamp, P. (2009). Smart cities in Europe (Serie Research Memoranda No. 0048). https://www.researchgate.net/publication/46433693_Smart_Cities_in_Europe

Cisco Systems. (n.d.). What is a smart city? https://www.cisco.com/c/en/us/solutions/industries/smart-connected-communities/what-is-a-smart-city.html.

Consejo Nacional de Población [National Population Council]. (2010). Índice de marginación por entidad federativa y por municipio [Marginalization index by state and by municipality]. http://www.conapo.gob.mx/es/CONAPO/Indices_de_Marginacion_2010_por_entidad_federativa_y_municipio.

De Santis, R., Fasano, A., Mignolli, N., & Villa, A. (2014). Smart city: Fact and fiction. http://mpra.ub.uni-muenchen.de/54536/.

Duranton, G. (2011). Innovation in cities: Classical and random urban growth models. In D. B. Audretsch, O. Falck, S. Heblich, & A. Lederer (Eds.), Handbook of research on innovation and entrepreneurship (pp. 137–149). Edward Elgar.

Feldman, M., & Avnimelech, G. (2011). Knowledge spillovers and the geography of innovation – revisited: A 20 years’ perspective on the field on geography of innovation. In D. B. Audretsch, O. Falck, S. Heblich, & A. Lederer (Eds.), Handbook of research on innovation and entrepreneurship (pp. 150–160). Edward Elgar.

Garcidueñas, S. (2019). Smart, competitive cities: The case of Puebla [Unpublished master’s thesis]. Wien Universität.

Giffinger, R., Fertner, C., Kramar, H., & Meijers, E. (2007). City-ranking of European medium-sized cities. https://www.researchgate.net/publication/313716484_City-ranking_of_European_medium-sized_cities.

Giovanella, C. (2013). “Territorial smartness” and emergent behaviors. http://www.mifav.uniroma2.it/download/Giovannella_k_teams_v2.pdf.

Glaeser, E., Resserger, M., & Tobio, K. (2009). Inequality in cities. Journal of Regional Science, 49, 617–646. https://scholar.harvard.edu/files/resseger/files/glaeserressegertobiojrs.pdf.

Hair, J., Black, W., Babin, B., & Anderson, R. (2014). Multivariate data analysis. Pearson.

Hall, R. (2000, September 28). The vision of a smart city. Presentation at the 2nd International Life Extension Technology Workshop, Paris, France.

Halleux, M., & Estache, A. (2018). How “smart” are Latin American cities? (Working Paper No. ECARS 2018-05). https://ideas.repec.org/p/eca/wpaper/2013-267226.html.

Harrison, C., Eckman, B., Hamilton, R., Hartswick, J., Kalagnanam, J., Paraszczka, J., & Williams, P. (2010). Foundations for smarter cities. IBM Journal of Research and Development, 54(4), 1–16.

Hollands, R. (2008). Will the real smart city please stand up? Intelligent, progressive or entrepreneurial? City, 12(3), 303–320.

IESE Business School, University of Navarra. (2014). IESE cities in motion: Methodology and modeling index 2014. https://media.iese.edu/research/pdfs/ST-0335-E.pdf.

IESE Business School, University of Navarra. (2015). IESE cities in motion index. https://media.iese.edu/research/pdfs/ST-0366-E.pdf.

IESE Business School, University of Navarra. (2017). IESE cities in motion index. https://media.iese.edu/research/pdfs/ST-0442-E.pdf.

IESE Business School, University of Navarra. (2018). IESE cities in motion index. https://media.iese.edu/research/pdfs/ST-0471-E.pdf.

Kanter, R. M., & Litow, S. S. (2009). Informed and interconnected: A manifesto for smarter cities (Working Paper No. 09-141). Harvard Business School. http://www.hbs.edu/faculty/Publication%20Files/09-141.pdf.

Karamizadeh, S., Abduhlla, S., Manaf, Z., Zamani, M., & Hooman, A. (2013). An overview of principal component analysis. Journal of Signal and Information Processing, 2013(4), 173–175.

Komninos, N. (2008). Intelligent cities and globalization of innovation networks. Taylor & Francis.

Lazaroiu, C., & Roscia, M. (2018). Smart resilient city and IoT towards sustainability of Africa. 7th International Conference on Renewable Energy Research and Applications (ICRERA), 1292–1298.

Lombardi, P., Giordano, S., Caragliu, A., Del Bo, C., Deakin, M., Nijkamp, P., & Kourtit, K. (2011). An advanced triple-helix network model for smart cities performance (Research Memorandum No. 2011-45). Vrije Universiteit Amsterdam. https://www.researchgate.net/publication/241755976_An_Advanced_Triple-Helix_Network_Model_for_Smart_Cities_Performance.

Lombardi, P., Giordano, S., Farouh, H., & Yousef, W. (2012). Modelling the smart city performance. Innovation, 25(2), 137–149.

Secretaría de Gobernación [SEGOB]. (2019). Información general [General information]. www.conapo.gob.mx/es/CONAPO/Informacion_General.

Toppeta, D. (2010, October). The smart city vision: How innovation and ICT can build smart, “liveable”, sustainable cities (Think! Report No. 005/2010). The Innovation Knowledge Foundation. https://inta-aivn.org/images/cc/Urbanism/background%20documents/Toppeta_Report_005_2010.pdf.

Washburn, D., Sindhu, U., Balaouras, S., Dines, R. A., Hayes, N. M., & Nelson, L. (2010). Helping CIOs understand “smart city” initiatives: Defining the smart city, its drivers, and the role of the CIO. Forrester Research.

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Published

01.03.2021

How to Cite

Nieto, S. G., Yelpo, P. C., & Guzmán, K. P. (2021). Smart City Puebla: measuring smartness. Revista Ibero-Americana De Estratégia, 20, e15793. https://doi.org/10.5585/riae.v20i1.15793

Issue

Section

Special issue: Microeconomics of competitiveness