IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/4661.html
   My bibliography  Save this paper

Relative remote rural areas (RRRA)in developed regions: an analysis of the Emilia-Romagna region to support policy decision making

Author

Listed:
  • Zabbini, Enza
  • Grandi, Silvia
  • Dallari, Fiorella

Abstract

This paper addresses the identification and the analysis of the remote rural areas (RRA) that should be at the center of future regional development policies for periphery areas in averagely highly developed territories, such as the Emilia-Romagna region. However, since none of the areas of the region can be defined lagging or underdeveloped when compared with the EU 25 countries, it is introduced the concept of “Relative” Remote Rural Area (RRRA) which partially could recall the semi-periphery in the theoretical scheme of Immanuel Wallestrein or the trasition area of Friedmann. Methodologically, the investigation is done both by using as a basis an intermediate geographical level that can be considered in line with the NUTS4 one: the SLL (Local Working Systems) identified by the Italian Institute of Statistics (ISTAT), and by a NUTS5-level cluster analysis performed using a selection of indicators, which includes demographic, socio-economic, employment, agricultural, infrastructure and commuting patterns. This work led to the identification and mapping of a set of municipalities that show the higher remote & rural features of the region. The Province of Ferrara resulted the NUTS3 level with the highest RRRA. After a discussion upon the main characteristics of this areas, preliminary policy indications for these territories are given.

Suggested Citation

  • Zabbini, Enza & Grandi, Silvia & Dallari, Fiorella, 2007. "Relative remote rural areas (RRRA)in developed regions: an analysis of the Emilia-Romagna region to support policy decision making," MPRA Paper 4661, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:4661
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/4661/1/MPRA_paper_4661.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brusco, Sebastiano, 1982. "The Emilian Model: Productive Decentralisation and Social Integration," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 6(2), pages 167-184, June.
    Full references (including those not matched with items on IDEAS)

    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. Marta Gancarczyk, 2010. "Model schyłku i odrodzenia klastrów," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 1-21.
    2. Cirer-Costa, Joan Carles, 2015. "The pressure of tourism on the Mediterranean coastline and beaches," MPRA Paper 62843, University Library of Munich, Germany.
    3. Carla Costa & Rui Baptista, 2012. "Agglomeration vs. Organizational Reproduction: The Molds Cluster in Portugal," Papers in Evolutionary Economic Geography (PEEG) 1222, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2012.
    4. Ariel Mendez & Elena Ragazzi, 2007. "Coopération et gouvernance dans deux districts en transition," CERIS Working Paper 200710, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    5. Huasheng Zhu & Kelly Wanjing Chen & Juncheng Dai, 2016. "Beyond Apprenticeship: Knowledge Brokers and Sustainability of Apprentice-Based Clusters," Sustainability, MDPI, vol. 8(12), pages 1-17, December.
    6. Roy, Satyaki, 2012. "Spatial Organization Of Production In India: Contesting Themes And Conflicting Evidence," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 1(1), pages 1-16.
    7. Marie-Laure Salles-Djelic & Michel Gutsatz, 2000. "Managerial Competencies for Organizational Flexibility: The Luxury Goods Industry between Tradition and Postmodernism," Post-Print hal-01892018, HAL.
    8. Mark Lazerson & Gianni Lorenzoni, 1999. "Resisting Organizational Inertia: The Evolution of Industrial Districts," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 3(4), pages 361-377, December.
    9. Francesca Borrelli & Cristina Ponsiglione & Luca Iandoli & Giuseppe Zollo, 2005. "Inter-Organizational Learning and Collective Memory in Small Firms Clusters: an Agent-Based Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(3), pages 1-4.
    10. Hervas-Oliver, Jose-Luis & Lleo, María & Cervello, Roberto, 2017. "The dynamics of cluster entrepreneurship: Knowledge legacy from parents or agglomeration effects? The case of the Castellon ceramic tile district," Research Policy, Elsevier, vol. 46(1), pages 73-92.
    11. Francesco Quatraro, 2009. "Innovation, structural change and productivity growth: evidence from Italian regions, 1980--2003," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 33(5), pages 1001-1022, September.
    12. Di Matteo, Dante & Mariotti, Ilaria & Rossi, Federica, 2023. "Transport infrastructure and economic performance: An evaluation of the Milan-Bologna high-speed rail corridor," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    13. Andrea Morrison, 2018. "Spinoffs, parents, and institutions: Evidence from the Italian motorcycle industry," Papers in Evolutionary Economic Geography (PEEG) 1840, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2018.
    14. Molina Morales, F. Xavier, 2000. "Geographical Embeddedness Of The Firm. A Case Study Based On The Knowledge-Based View," ERSA conference papers ersa00p346, European Regional Science Association.
    15. Thomas Brenner, 2005. "Innovation and cooperation during the emergence of local industrial clusters: An empirical study in Germany," European Planning Studies, Taylor & Francis Journals, vol. 13(6), pages 921-938, September.
    16. Rosenfeld, Martin T. W. & Hornych, Christoph, 2021. "Wie vernetzt sind die privaten Firmen in Mitteldeutschland? Räumliche Muster der Kooperation im Rahmen "Formeller Unternehmensnetzwerke" (FUN)," Arbeitsberichte der ARL: Aufsätze, in: Rosenfeld, Martin T. W. & Stefansky, Andreas (ed.), "Metropolregion Mitteldeutschland" aus raumwissenschaftlicher Sicht, volume 30, pages 96-126, ARL – Akademie für Raumentwicklung in der Leibniz-Gemeinschaft.
    17. Rabellotti, Roberta, 1995. "Is there an "industrial district model"? Footwear districts in Italy and Mexico compared," World Development, Elsevier, vol. 23(1), pages 29-41, January.
    18. Boschma, Ron, 2000. "An Empirical Analysis Of The Industrial Rise Of The Third Italy," ERSA conference papers ersa00p114, European Regional Science Association.
    19. John N H Britton, 2003. "Network Structure of an Industrial Cluster: Electronics in Toronto," Environment and Planning A, , vol. 35(6), pages 983-1006, June.
    20. Kerstin Press, 2006. "Divide to conquer? The Silicon Valley - Boston 128 case revisited," Papers in Evolutionary Economic Geography (PEEG) 0610, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Dec 2006.

    More about this item

    Keywords

    remotness; rurality; local working system (SLL); geographical economic analysis; regional policy;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:4661. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.