IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i10p1581-d1488050.html
   My bibliography  Save this article

Evaluating the Impact of Long-Term Demographic Changes on Local Participation in Italian Rural Policies (2014–2020): A Spatial Autoregressive Econometric Model

Author

Listed:
  • Francesco Mantino

    (Council for Agricultural Research and Economics, Centre for Policy and Bioeconomy, 00187 Rome, Italy)

  • Giovanna De Fano

    (Research Institute on Terrestrial Ecosystems, National Research Council (IRET-CNR), 00010 Rome, Italy)

  • Gianluca Asaro

    (Independent Researcher, 00100 Rome, Italy)

Abstract

This study elaborates on a typology of demographic change and tests this definition at the lowest granular level (LAU2, municipality) with official data. This typology distinguishes between fragile and resilient municipalities based on population dynamics (in terms of duration and intensity) over 1991–2021. This study’s second aim is to elaborate a spatial autoregressive econometric model to evaluate to what extent and in which direction the rate of participation of potential beneficiaries of the Rural Development Programmes (RDPs) of 2014–2020 is affected by demographic change and other explanatory variables. Regression models compare the results of the OLS (aspatial) and spatial autoregressive models (SAR) of four types of participation rates (all RDP schemes; all LEADER schemes; sectoral schemes of RDP and LEADER; non-sectoral schemes of RDPs and LEADER). This comparison makes it possible to understand the differences between centralised and decentralised management and between sectoral and broader rural-targeted schemes. The results of the models appear attractive in interpreting the role of RDP instruments in different regions and local areas. First, the rate of participation is strongly dependent on macro-regional differences. Regarding the demographic factors at the local level, this study highlights that demographic fragility does not necessarily hamper the use of RDP measures. Conversely, the participation rate in RDP policy schemes seems particularly significant in very fragile areas, whereas significance has yet to be proved in other demographic typologies. This result holds particularly true for the policy uptake of non-sectoral schemes. Furthermore, LEADER decentralised interventions fit the fragile areas more than resilient and vital ones due to the territorially targeted approach followed by the Local Action Groups.

Suggested Citation

  • Francesco Mantino & Giovanna De Fano & Gianluca Asaro, 2024. "Evaluating the Impact of Long-Term Demographic Changes on Local Participation in Italian Rural Policies (2014–2020): A Spatial Autoregressive Econometric Model," Land, MDPI, vol. 13(10), pages 1-21, September.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:10:p:1581-:d:1488050
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/10/1581/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/10/1581/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrés Rodríguez-Pose & Marco Di Cataldo, 2015. "Quality of government and innovative performance in the regions of Europe," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 673-706.
    2. Edi Defrancesco & Paola Gatto & Ford Runge & Samuele Trestini, 2008. "Factors Affecting Farmers’ Participation in Agri‐environmental Measures: A Northern Italian Perspective," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 114-131, February.
    3. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    4. LeSage, James P., 1997. "Regression Analysis of Spatial Data," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 27(2), pages 1-12.
    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. David Maddison, 2009. "A Spatio‐temporal Model of Farmland Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 171-189, February.
    2. Bernd Jost, 2012. "Price Dispersion, Search Costs and Spatial Competition: Evidence from the Austrian Retail Gasoline Market," NEURUS papers neurusp166, NEURUS - Network of European and US Regional and Urban Studies.
    3. Brasington, David M. & Haurin, Donald R., 2009. "Parents, peers, or school inputs: Which components of school outcomes are capitalized into house value?," Regional Science and Urban Economics, Elsevier, vol. 39(5), pages 523-529, September.
    4. Paliska, Dejan & Drobne, Samo, 2020. "Impact of new motorway on housing prices in rural North-East Slovenia," Journal of Transport Geography, Elsevier, vol. 88(C).
    5. Joshua C. Hall & Justin M. Ross, 2010. "Tiebout Competition, Yardstick Competition, and Tax Instrument Choice: Evidence from Ohio School Districts," Public Finance Review, , vol. 38(6), pages 710-737, November.
    6. David Maddison, 2007. "Modelling sulphur emissions in Europe: a spatial econometric approach," Oxford Economic Papers, Oxford University Press, vol. 59(4), pages 726-743, October.
    7. Maddison, David, 2006. "Environmental Kuznets curves: A spatial econometric approach," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 218-230, March.
    8. Jonathan Muringani & Rune Dahl Fitjar & Andres Rodriguez-Pose, 2024. "Political trust and economic development in European regions," Papers in Evolutionary Economic Geography (PEEG) 2435, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2024.
    9. David M. Brasington & Diane Hite, 2005. "Demand for Environmental Quality: A Spatial Hedonic Approach," Departmental Working Papers 2005-08, Department of Economics, Louisiana State University.
    10. Melindi-Ghidi, Paolo & Dedeurwaerdere, Tom & Fabbri, Giorgio, 2020. "Using environmental knowledge brokers to promote deep green agri-environment measures," Ecological Economics, Elsevier, vol. 176(C).
    11. Roberto Antonietti & Ron Boschma, 2021. "Social capital, resilience, and regional diversification in Italy [Social capital, innovation and growth: evidence from Europe]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(3), pages 762-777.
    12. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
    13. Liv Osland & Inge Thorsen, 2013. "Spatial Impacts, Local Labour Market Characteristics and Housing Prices," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2063-2083, August.
    14. Breisinger, Clemens & Ecker, Olivier & Funes, Jose & Yu, Bingxin, 2010. "Food as the basis for development and security: A strategy for Yemen," IFPRI discussion papers 1036, International Food Policy Research Institute (IFPRI).
    15. repec:rri:wpaper:200711 is not listed on IDEAS
    16. Rodríguez-Pose, Andrés & Zhang, Min, 2020. "The cost of weak institutions for innovation in China," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    17. Andrés Rodríguez-Pose & Roberto Ganau, 2022. "Institutions and the productivity challenge for European regions," Journal of Economic Geography, Oxford University Press, vol. 22(1), pages 1-25.
    18. David Brasington & Don Haurin, 2005. "Capitalization of Parent, School, and Peer Group Components of School Quality into House Price," Departmental Working Papers 2005-04, Department of Economics, Louisiana State University.
    19. Mudaca, Joao Daniel & Tsuchiya, Toshiyuki & Yamada, Masaaki & Onwona-Agyeman, Siaw, 2015. "Household participation in Payments for Ecosystem Services: A case study from Mozambique," Forest Policy and Economics, Elsevier, vol. 55(C), pages 21-27.
    20. Danilo Bertoni & Daniele Cavicchioli & Franco Donzelli & Giovanni Ferrazzi & Dario G. Frisio & Roberto Pretolani & Elena Claire Ricci & Vera Ventura, 2018. "Recent Contributions of Agricultural Economics Research in the Field of Sustainable Development," Agriculture, MDPI, vol. 8(12), pages 1-20, December.
    21. Riccardo Crescenzi & Simona Iammarino, 2017. "Global investments and regional development trajectories: the missing links," Regional Studies, Taylor & Francis Journals, vol. 51(1), pages 97-115, January.

    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:gam:jlands:v:13:y:2024:i:10:p:1581-:d:1488050. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.