IDEAS home Printed from https://ideas.repec.org/a/bla/rgscpp/v13y2021i1p43-61.html
   My bibliography  Save this article

Deprivation at local level: Practical problems and policy implications for the province of Milan

Author

Listed:
  • Alfredo Cartone
  • Domenica Panzera

Abstract

Composite indicators are often used to assess the structure of urban deprivation to promote sustainable development. However, the refined spatial scale of analysis poses problems related to data availability. In this paper, we define a spatial deprivation index in the province of Milan, using both census data and areal interpolation. Disaggregation methods are applied to obtain variables at lower spatial level, and a geographically weighted principal component analysis is applied to measure socio‐economic deprivation at local level. Components of deprivation are investigated in their spatial structure and some policy implications deriving from the application of a spatial approach are discussed. Los indicadores compuestos se suelen utilizar para evaluar la estructura de las carencias urbanas dirigidas a promover el desarrollo sostenible. Sin embargo, la refinada escala espacial del análisis plantea problemas relacionados con la disponibilidad de datos. En este artículo se define un índice espacial de carencia en la provincia de Milán, mediante el uso de datos del censo y la interpolación de áreas. Se aplicaron métodos de desagregación para obtener variables a un nivel espacial más bajo, y se aplicó un análisis de componentes principales ponderado geográficamente para medir la carencia socioeconómica a nivel local. Se investigó la estructura espacial de los componentes de la carencia y se discuten algunas consecuencias políticas derivadas de la aplicación de un enfoque espacial. 複合的指標は、持続可能な開発を促進するために都市部の剥奪の構造を評価するために用いられることが多い。しかしながら、精密化された分析の空間スケールは、データ利用可能性に関連する問題を引き起こす。本稿では、国勢調査データと地域内挿の両方を用いて、ミラノ州における空間的剥奪指数を定義した。より低い空間レベルでの変数を得るために分解手法を採用し、地域レベルでの社会経済的剥奪を測定するために地理的に重み付けした主成分分析法を採用した。剥奪の構成要素をその空間構造の中で検討し、空間的アプローチの適用から導出された政策的含意を考察する。

Suggested Citation

  • Alfredo Cartone & Domenica Panzera, 2021. "Deprivation at local level: Practical problems and policy implications for the province of Milan," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 43-61, February.
  • Handle: RePEc:bla:rgscpp:v:13:y:2021:i:1:p:43-61
    DOI: 10.1111/rsp3.12339
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rsp3.12339
    Download Restriction: no

    File URL: https://libkey.io/10.1111/rsp3.12339?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Piercesare Secchi & Simone Vantini & Valeria Vitelli, 2015. "Rejoinder to the discussion of “Analysis of Spatio-Temporal Mobile Phone Data: a Case Study in the Metropolitan Area of Milan”," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(2), pages 335-338, July.
    2. Ruud Muffels & Didier Fouarge, 2004. "The Role of European Welfare States in Explaining Resources Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 68(3), pages 299-330, September.
    3. Piercesare Secchi & Simone Vantini & Valeria Vitelli, 2015. "Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(2), pages 279-300, July.
    4. Domenica Panzera & Paolo Postiglione, 2014. "Economic growth in Italian NUTS 3 provinces," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 273-293, August.
    5. Andrés Rodríguez-Pose & Michael Storper, 2020. "Housing, urban growth and inequalities: The limits to deregulation and upzoning in reducing economic and spatial inequality," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 223-248, February.
    6. Camagni, Roberto & Gibelli, Maria Cristina & Rigamonti, Paolo, 2002. "Urban mobility and urban form: the social and environmental costs of different patterns of urban expansion," Ecological Economics, Elsevier, vol. 40(2), pages 199-216, February.
    7. Matteo Mazziotta & Adriano Pareto, 2019. "Use and Misuse of PCA for Measuring Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 451-476, April.
    8. Noelia Somarriba & Bernardo Pena, 2009. "Synthetic Indicators of Quality of Life in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 115-133, October.
    9. Marko Kallio & Joseph H. A. Guillaume & Matti Kummu & Kirsi Virrantaus, 2018. "Spatial Variation in Seasonal Water Poverty Index for Laos: An Application of Geographically Weighted Principal Component Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 1131-1157, December.
    10. M F Goodchild & L Anselin & U Deichmann, 1993. "A Framework for the Areal Interpolation of Socioeconomic Data," Environment and Planning A, , vol. 25(3), pages 383-397, March.
    11. Koen Decancq & María Ana Lugo, 2013. "Weights in Multidimensional Indices of Wellbeing: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 7-34, January.
    12. Roberta Capello & Giovanni Perucca, 2019. "From Cohesion Policy Implementation to European Identity," Regional Science Policy & Practice, Wiley Blackwell, vol. 11(4), pages 631-636, October.
    13. Domenica Panzera & Paolo Postiglione, 2020. "Measuring the Spatial Dimension of Regional Inequality: An Approach Based on the Gini Correlation Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 379-394, April.
    14. Giovanni A. Barbieri & Federico Benassi & Marianna Mantuano & M. Rosaria Prisco, 2019. "In search of spatial justice. Towards a conceptual and operative framework for the analysis of inter‐ and intra‐urban inequalities using a geo‐demographic approach. The case of Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 11(1), pages 109-121, March.
    15. Marta Cordini & Andrea Parma & Costanzo Ranci, 2019. "‘White flight’ in Milan: School segregation as a result of home-to-school mobility," Urban Studies, Urban Studies Journal Limited, vol. 56(15), pages 3216-3233, November.
    16. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    17. Gollini, Isabella & Lu, Binbin & Charlton, Martin & Brunsdon, Christopher & Harris, Paul, 2015. "GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i17).
    18. James Simmie & James Sennett & Peter Wood & Doug Hart, 2002. "Innovation in Europe: A Tale of Networks, Knowledge and Trade in Five Cities," Regional Studies, Taylor & Francis Journals, vol. 36(1), pages 47-64.
    19. M. Simona Andreano & Roberto Benedetti & Paolo Postiglione, 2017. "Spatial regimes in regional European growth: an iterated spatially weighted regression approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2665-2684, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matheus Pereira Libório & Alexandre Magno Alves Diniz & Hamidreza Rabiei-Dastjerd & Oseias da Silva Martinuci & Carlos Augusto Paiva da Silva Martins & Petr Iakovlevitch Ekel, 2023. "A Decision Framework for Identifying Methods to Construct Stable Composite Indicators That Capture the Concept of Multidimensional Social Phenomena: The Case of Social Exclusion," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    2. Aura Bertoni & Paola Dubini & Alberto Monti, 2021. "Bringing Back in the Spatial Dimension in the Assessment of Cultural and Creative Industries and Its Relationship with a City’s Sustainability: The Case of Milan," Sustainability, MDPI, vol. 13(19), pages 1-18, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paolo Postiglione & Alfredo Cartone & Domenica Panzera, 2020. "Economic Convergence in EU NUTS 3 Regions: A Spatial Econometric Perspective," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    2. Pritam Ghosh & Alfredo Cartone, 2020. "A Spatio‐temporal analysis of COVID‐19 outbreak in Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1047-1062, December.
    3. Mariateresa Ciommi & Chiara Gigliarano & Francesco M. Chelli & Mauro Gallegati, 2022. "It is the Total that Does [Not] Make the Sum: Nature, Economy and Society in the Equitable and Sustainable Well-Being of the Italian Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 491-522, June.
    4. Rajko Tomaš, 2022. "Measurement of the Concentration of Potential Quality of Life in Local Communities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 79-109, August.
    5. Koen Decancq & Erik Schokkaert, 2016. "Beyond GDP: Using Equivalent Incomes to Measure Well-Being in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(1), pages 21-55, March.
    6. Menafoglio, Alessandra & Secchi, Piercesare, 2017. "Statistical analysis of complex and spatially dependent data: A review of Object Oriented Spatial Statistics," European Journal of Operational Research, Elsevier, vol. 258(2), pages 401-410.
    7. Claudio Gariazzo & Armando Pelliccioni & Maria Paola Bogliolo, 2019. "Spatiotemporal Analysis of Urban Mobility Using Aggregate Mobile Phone Derived Presence and Demographic Data: A Case Study in the City of Rome, Italy," Data, MDPI, vol. 4(1), pages 1-25, January.
    8. Alessandro Fassò & Francesco Finazzi & Ferdinand Ndongo, 2016. "European Population Exposure to Airborne Pollutants Based on a Multivariate Spatio-Temporal Model," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(3), pages 492-511, September.
    9. Secchi, Piercesare, 2018. "On the role of statistics in the era of big data: A call for a debate," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 10-14.
    10. Gianfranco Piras & Mauricio Sarrias, 2023. "Heterogeneous spatial models in R: spatial regimes models," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-32, December.
    11. Lidia Ceriani & Chiara Gigliarano, 2020. "Multidimensional Well-Being: A Bayesian Networks Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 237-263, November.
    12. Giraldo, Ramón & Dabo-Niang, Sophie & Martínez, Sergio, 2018. "Statistical modeling of spatial big data: An approach from a functional data analysis perspective," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 126-129.
    13. Eleonora Cutrini & Luca Salvati, 2021. "Unraveling spatial patterns of COVID‐19 in Italy: Global forces and local economic drivers," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 73-108, November.
    14. Karel Macků & Vít Voženílek & Vít Pászto, 2022. "Linking the quality of life index and the typology of European administrative units," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(1), pages 145-174, January.
    15. Cantone, Giulio Giacomo & Tomaselli, Venera, 2024. "On the Coherence of Composite Indexes: Multiversal Model and Specification Analysis for an Index of Well-Being," MetaArXiv d5y26, Center for Open Science.
    16. Rodolfo Metulini & Maurizio Carpita, 2021. "A Spatio-Temporal Indicator for City Users Based on Mobile Phone Signals and Administrative Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 761-781, August.
    17. Pritam Ghosh & Moslem Hossain & Asraful Alam, 2022. "Water, Sanitation, and Hygiene (WASH) poverty in India: A district‐level geospatial assessment," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(2), pages 396-416, April.
    18. Cartone, Alfredo & Díaz-Dapena, Alberto & Langarita, Raquel & Rubiera-Morollón, Fernando, 2021. "Where the city lights shine? Measuring the effect of sprawl on electricity consumption in Spain," Land Use Policy, Elsevier, vol. 105(C).
    19. Mehmet Pinar, 2022. "Choquet-Integral Aggregation Method to Aggregate Social Indicators to Account for Interactions: An Application to the Human Development Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 1-53, January.
    20. Selene Perazzini & Rodolfo Metulini & Maurizio Carpita, 2024. "Statistical indicators based on mobile phone and street maps data for risk management in small urban areas," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(4), pages 1051-1078, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:rgscpp:v:13:y:2021:i:1:p:43-61. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1757-7802 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.