Mapping the Optimal Rural Areas to Invest in through the LEADER Approach: Case Study—Extremadura (SW Spain)
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 th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/11/8/1191 |
| _version_ | 1797409378856337408 |
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| author | Gema Cárdenas Alonso Ana Nieto Masot |
| author_facet | Gema Cárdenas Alonso Ana Nieto Masot |
| author_sort | Gema Cárdenas Alonso |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T04:13:44Z |
| format | Article |
| id | doaj.art-14c56ab9cd634bdf873b51804c131347 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T04:13:44Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-14c56ab9cd634bdf873b51804c1313472023-12-03T13:57:02ZengMDPI AGLand2073-445X2022-07-01118119110.3390/land11081191Mapping the Optimal Rural Areas to Invest in through the LEADER Approach: Case Study—Extremadura (SW Spain)Gema Cárdenas Alonso0Ana Nieto Masot1Department of Art and Territorial Sciences, University of Extremadura, 10003 Cáceres, SpainDepartment of Art and Territorial Sciences, University of Extremadura, 10003 Cáceres, SpainFor 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.https://www.mdpi.com/2073-445X/11/8/1191analytic hierarchy processExtremaduraLEADER approachmulticriteria analysisoptimal localization modelrural development |
| spellingShingle | Gema Cárdenas Alonso Ana Nieto Masot Mapping the Optimal Rural Areas to Invest in through the LEADER Approach: Case Study—Extremadura (SW Spain) Land analytic hierarchy process Extremadura LEADER approach multicriteria analysis optimal localization model rural development |
| title | Mapping the Optimal Rural Areas to Invest in through the LEADER Approach: Case Study—Extremadura (SW Spain) |
| title_full | Mapping the Optimal Rural Areas to Invest in through the LEADER Approach: Case Study—Extremadura (SW Spain) |
| title_fullStr | Mapping the Optimal Rural Areas to Invest in through the LEADER Approach: Case Study—Extremadura (SW Spain) |
| title_full_unstemmed | Mapping the Optimal Rural Areas to Invest in through the LEADER Approach: Case Study—Extremadura (SW Spain) |
| title_short | Mapping the Optimal Rural Areas to Invest in through the LEADER Approach: Case Study—Extremadura (SW Spain) |
| title_sort | mapping the optimal rural areas to invest in through the leader approach case study extremadura sw spain |
| topic | analytic hierarchy process Extremadura LEADER approach multicriteria analysis optimal localization model rural development |
| url | https://www.mdpi.com/2073-445X/11/8/1191 |
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