Spatial attractiveness towards industrial placement: a parametric index based on spatial-economic territorial exposure metrics
Abstract
The asymmetrical process of industrial development tends to increase regional disparities and result in different patterns of territorial exposure: the amount of support given to activities placed within industrial agglomerates. Spatial Attractiveness towards industrial placement tends to follow such patterns, as places with lower exposure tend to be more attractive, providing more support to productive activities. Spatial models based in economic methods have issues in precising the nature of Spatial Attractiveness disparities, as their interpretation of space as an abstracted parameter, provides insufficient locational precision to demonstrate these patterns and how those are dependent on relations between production, territorial endowments, and industrial agglomerates’ internal organization. Novel spatial-economic models ought to consider and incorporate spatial units reflecting the microfoundations of space while providing an accurate spatialization, crucial aspects to create knowledge useful for decision-making. Hence, the paper showcases spatial models tailored to address the differences in Spatial Attractiveness, based in spatial and economic territorial exposure indexes, to unveil the territorial-imbalances’ spatial logics. Organized in a GIS-based environment and using Tuscany as a proof-of-concept, the index-models identified factors of sensitivity or support to firms placed within industrial agglomerates providing an overview of spatial attractiveness within the territory, useful for supporting decision-making practices.
Downloads
References
Agenzia Entrate (2018) Manuale della Banca Dati Quotazioni dell’Osservatorio del Mercato Immobiliare Istruzioni tecniche per la formazione della Banca Dati Quotazioni OMI. Guerrieri, G., Festa, M., Longhi, S., Cantone G. & Papa, F. (eds.). Direzione Centrale Osservatorio Mercato Immobiliare e Servizi Estimativi, Roma.
Alonso, W., (1964). Location and Land Use. Locat. L. Use. https://doi.org/10.4159/harvard.9780674730854
Altafini, D. & Cutini, V. (2020). Tuscany Configurational Atlas: a GIS-based multiscale assessment of road-circulation networks centralities hierarchies. Computational Science and Its Applications – ICCSA 2020, 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part III. https://doi.org/10.1007/978-3-030-58808-3_22.
Altafini, D. & Cutini, V. (2021a). Territorial disparities in Tuscan industrial assets: a model to assess agglomeration and exposure patterns. TeMA – Journal of Land Use, Mobility and Environment, 14 (2), 161-176. https://doi.org/10.6092/1970-9870/7976
Altafini, D. & Cutini, V. (2021b). Territorial Disparities in Tuscan Industrial Assets: A Method to Assess Average Firm-Size Spatial Distribution. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2021. Lecture Notes in Computer Science, vol 12952. Springer, Cham.
Altafini, D., Poloni, F., Meini, B., Bini, D. & Cutini, V. (2022). Markov-Chain-based centralities and Space Syntax’ Angular Analysis: an initial overview and application. In: Proceedings of the 13th Space Syntax Symposium, 20th to 24th June 2022. Western Norway University of Applied Sciences (HVL), Bergen, Norway.
Altafini, D., Bini, D. A., Cutini, V., Meini, B. & Poloni, F. (2023). An Edge Centrality Measure Based on the Kemeny Constant. SIAM Journal on Matrix Analysis and Applications. 44 (2). https://doi.org/10.1137/22M1486728
Altafini, D. (2022). Spatial-economic models to evaluate industrial agglomerations: novel instruments for urban-regional analysis. Ph.D. Dissertation. University of Pisa.
Bagnasco, A. (1977). Tre Italie. La problematica territoriale dello sviluppo italiano. Il Mulino, Bologna.
Bavelas, A. (1950). Communication Patterns in Task-Oriented Groups. Journal of the Acoustical Society of America, 22, 725-730.
Barresi, A. & Pultrone, G. (2013). European Strategies for Smarter Cities. TeMA - Journal of Land Use, Mobility and Environment, 6 (1), 61-72. https://doi.org/10.6092/1970-9870/1455
Boschma, R. (2005). Proximity and innovation: a critical assessment. Regional Studies, 39, 61–74. https://doi.org/10.1080/0034340052000320887.
Boschma, R. (2015). Towards an evolutionary perspective on regional resilience. Regional Studies, 49 (5), 733-751
Duranton, G., Henderson, J.V., & Strange, W. (Eds.). (2015). Handbook of Regional and Urban Economics: Regional and Urban Economics. Vol. 5A. Amsterdam. Elsevier – North-Holland
Froy, F. (2021). A marvellous order: how spatial and economic configurations interact to produce agglomeration economies in Greater Manchester, PhD Thesis UCL (University College London)
Garau, C., Desogus, G., & Stratigea, A. (2023). Digitalisation process and sustainable development of vulnerable territories. Assessment of equity potentials of major Mediterranean Islands. TeMA - Journal of Land Use, Mobility and Environment, 16 (3), 565-594. https://doi.org/10.6093/1970-9870/9910
Gargiulo, C., & Sgambati, S. (2023). The investments of NextGenerationEU vs urban competitiveness of Italian metropolitan areas. TeMA - Journal of Land Use, Mobility and Environment, 16 (3), 545-564. https://doi.org/10.6093/1970-9870/10271
ISTAT. (2001). 8° Censimento ISTAT dell’industria e servizi. Istituto Nazionale di Statistica, Roma
ISTAT. (2016). Descrizione dei dati geografici e delle variabili censuarie delle Basi territoriali per I censimenti: anni 1991, 2001, 2011. Istituto Nazionale di Statistica.
ISTAT. (2011). 9° Censimento ISTAT dell’industria e servizi. Istituto Nazionale di Statistica, Roma. Available at: https://www.istat.it/it/archivio/104317
Hillier, B., Yang, T., & Turner, A. (2012). Normalising least angle choice in Depthmap - and how it opens up new perspectives on the global and local analysis of city space, The Journal of Space Syntax, 3 (2), 155–193.
Hillier, B. (2007). Space is the machine: a configurational theory of architecture. Space Syntax.
Jenks, G. F. (1977). Optimal Data Classification for Choropleth Maps. Occasional Paper No. 2. Lawrence, KS: Department of Geography, University of Kansas.
Jenks, G. F., & Caspall, F. C. (1971). Error on choroplethic maps: Definition, measurement, reduction. Annals of the Association of American Geographers, 61 (2), pp.217–244.
Kemeny, J. G., & Snell, J. L. (1960). Finite Markov Chains. Princeton, NJ: D. Van Nostrand. (Corollary 4.3.6)
Krugman, P. (1991). Increasing returns and economic geography. Journal of Political Economy, 99, (3), 483-499. https://doi.org/10.1086/261763
Lefèbrve, H. (1996). Writings on Cities. Blackwell, Oxford.
Lefèbrve, H. (1974). La production de l’espace. L'Homme et la société, 31 (1), 15-32.
Lucas, R. (1976). Econometric Policy Evaluation: A Critique. In Brunner, K.; Meltzer, A. (eds.). In Carnegie-Rochester Conference Series on Public Policy (Vol. 1, 19–46). ISBN 0-444-11007-0. North-Holland
Mills, E.S. (ed.) (1987). Handbook of Regional and Urban Economics: Urban Economics. Vol 2. Amsterdam. Elsevier – North-Holland
Pasinetti, L. (2000). Critique of the neoclassical theory of growth and distribution. BNL Quarterly Review Quarterly Review 53, 215, 383-431. https://doi.org/10.13133/2037-3643/9924
Pultrone, G. (2023). The city challenges and the new frontiers of urban planning. TeMA - Journal of Land Use, Mobility and Environment, 16 (1), 27-45. https://doi.org/10.6093/1970-9870/9392
QGIS (2022). Firenze LTR. Version 3.28. Available at; https://qgis.org/it/site/forusers/download.html
Regione Toscana (2019a). Direzione Urbanistica e Politiche Abitative - Sistema Informativo Territoriale e Ambientale – SITA.: Edificato 2k, 10k 1988-2013. http://www502.regione.toscana.it/geoscopio/cartoteca.html
Regione Toscana (2019b). Direzione Urbanistica e Politiche Abitative - Sistema Informativo Territoriale e Ambientale – SITA.: Grafo stradario e ferroviario della Regione Toscana - Itnet. http://www502.regione.toscana.it/geoscopio/cartoteca.html
Sabidussi, G. (1966). The centrality index of a graph. Psychometrika 31 (4), 581–603. https://doi.org/10.1007/BF02289527
Samuelson, P. (1947). Foundations of Economic Analysis, Harvard University Press.
Samuelson, P. (1966). A Summing Up. The Quarterly Journal of Economics, 80 (4), 568-583. School of Graduate Studies, UCL, London.
Solow, R. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics. 70 (1), 65–94. doi:10.2307/1884513. hdl: 10338.dmlcz/143862. JSTOR 1884513.
Sraffa, P. (1960). Production of Commodities by Means of Commodities: Prelude to a Critique of Economic Theory. Science and Society, 25 (2). Cambridge: Cambridge University
Sraffa, P. (1926). The Laws of Returns under Competitive Conditions. The Economic Journal, 36 (144), 535-550.
Sraffa, P. (1925). Sulle relazioni fra costo e quantità prodotta, Annali di economia 2 (1), 277 – 328.
Smith, N. (2008). Uneven Development: Nature Capital and the Production of Space, 3rd ed. The University of Georgia Press, Georgia.
Thisse, J. & Walliser, B. (1998). Is space a neglected topic in mainstream economics? Recherches Economiques de Louvain /Louvain Economic Review, 64 (1), 11-22. https://doi.org/10.1017/S0770451800004139.
Turner, A (2001). Angular Analysis. In: Proceedings of the 3rd International Symposium on Space Syntax, 7-11. Georgia Institute of Technology, Atlanta, Georgia.
Weber, A., (1929). Theory of the Location of Industries. The University of Chicago Press, Chicago. https://doi.org /10.1086/254099
Copyright (c) 2024 TeMA - Journal of Land Use, Mobility and Environment
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish in this journal agree to the following:
1. Authors retain the rights to their work and give in to the journal the right of first publication of the work simultaneously licensed under a Creative Commons License - Attribution that allows others to share the work indicating the authorship and the initial publication in this journal.
2. Authors can adhere to other agreements of non-exclusive license for the distribution of the published version of the work (ex. To deposit it in an institutional repository or to publish it in a monography), provided to indicate that the document was first published in this journal.
3. Authors can distribute their work online (ex. In institutional repositories or in their website) prior to and during the submission process, as it can lead to productive exchanges and it can increase the quotations of the published work (See The Effect of Open Access)