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Mapping the Optimal Rural Areas to Invest in through the LEADER Approach: Case Study—Extremadura (SW Spain)

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  • Gema Cárdenas Alonso

    (Department of Art and Territorial Sciences, University of Extremadura, 10003 Cáceres, Spain)

  • Ana Nieto Masot

    (Department of Art and Territorial Sciences, University of Extremadura, 10003 Cáceres, Spain)

Abstract

For more than 30 years, the LEADER approach has been a key tool in the endogenous, local, participatory, and sustainable development of the most disadvantaged European rural areas in demographic and socioeconomic terms. However, despite the unquestionable labor of the rural development policy and the local action groups, various authors, both at a European level and at a national level, in Spain, have concluded that the majority of investments and the greater number of projects through LEADER have been concentrated in the most populated and most developed rural areas. For this reason, there is positive discrimination toward them in the management of aid for rural development. Knowing this and according to the objectives pursued by LEADER, the aim of this work is to analyze the situation in Extremadura (Spain), which has been a beneficiary from the beginning, building an optimal location model for rural development aid. Thus, it will be possible to determine the most convenient, optimal, or priority municipalities to receive aid for rural development due to characteristics such as a smaller population, low demographic growth, low birth rate, high mortality rate, high aging population, low productivity index, high unemployment rates, low accessibility to urban centers, and low LEADER investments in recent years.

Suggested Citation

  • Gema Cárdenas Alonso & Ana Nieto Masot, 2022. "Mapping the Optimal Rural Areas to Invest in through the LEADER Approach: Case Study—Extremadura (SW Spain)," Land, MDPI, vol. 11(8), pages 1-20, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1191-:d:875404
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    References listed on IDEAS

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    1. J. Javier Serrano & Javier Esparcia, 2023. "Diagnosis of Rural Development Processes Based on the Stock of Social Capital and Social Networks: Approach from E-I Index," Land, MDPI, vol. 12(4), pages 1-28, April.

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