Evaluation of Territorial Capacity for Development: Population and Employment
Abstract
:1. Introduction and Objectives
2. Background: Previous Diagnosis of Two Rural Comarcas of the Valencian Community
- To make the most of the available resources and the need to strategically dimension the potential of the territory.
- To promote endogenous initiatives from, by and for the territory.
- To generate population attraction poles, especially for women and young people.
- To improve infrastructures to circumvent the technological gap (roads and basic amenities such as electricity and Internet).
- To encourage private initiative through public–private partnerships.
- Who leads the territory? A joint, comprehensive, integrated and integrating vision.
- To attend to the singularities of these territories.
- The need to retain and attract capital and talent through training.
- To activate the population. Do not wait for someone from outside to come and do this or to propose the solution.
- To address the lack of investment: a strategic plan of action (long term).
3. Method: Analysis of the Period Encompassing 2017–2022
- Analysis of statistical and documentary sources, such as:
- 2.
- The sending of an ad hoc questionnaire to the 23 AEDL technicians of the territory, in which they were asked questions about population, employment and opportunities for territorial development. Of the 23 AEDL technicians (6 from El Rincón de Ademuz and 17 from Los Serranos), 15 responded (5 from El Rincón and 10 from Los Serranos). All the respondents were women (except a man from Los Serranos) since AEDL is an eminently feminine profession. Therefore, results broken down by respondent gender are unnecessary since this sample ensures no gender bias against women.
- 3.
- Application of the READI© methodology to know and measure the capacities of the territories for future local development processes. This methodology based on the READI© matrix consists of a set of 165 indicators organised around three large blocks: resources, actors and dynamics. This matrix allows for assessing the situation of the territories by offering a resulting score, as a general whole or itemised, for each element or grouping of indicators. A more detailed explanation of this methodology can be found in [31,36].
4. Results of the Study: Evolution over the Period 2017–2022
4.1. Sociodemographic Evolution
4.2. Socioeconomic Evolution: Employment and Population Outcomes
4.3. READI© Methodology Results (Resources, Actors and Dynamics)
- As shown in Figure 4B, the resources that score best are spatial resources (natural, tourist, cultural heritage, productive and infrastructures), which are located between 55% and 60% of their potential in both comarcas. They are followed in capacity by economic resources (self-financing, public or private external financing, and European Union funding), although with important differences between Los Serranos (54% for potentiality) and El Rincón de Ademuz (41%). Human resources (labour migration balance and training of the population) are at between 43% and 45% of their capacity, with productive resources (quantity and quality of job creation, productive fabric, number of productive sectors and size of companies) being the lowest rated (between 39% and 42% of their capacity).To discover with more detail the capacity of these comarcas to generate employment, we will now look at an assessment of three subsections of the “resources” dimension of the READI© matrix, which do not appear in Figure 4. The first subsection is the variable “quantity of employment generated” (valued within the productive resources section), which is between 40% and 45% of its capacity in both territories. The second subsection is the “quality of employment generated”, valued at between 46% and 50% of its potential. And finally, the third one is the “labour migratory balance” (valued within the human resources section), which shows that more labour is imported from other places (between 49% and 52% of its potential) than can be exported (between 41% and 44% of its potential). In all cases, Los Serranos has a slightly higher assessment than El Rincón. We will discuss these specific scores later in this paper.
- The actors dimension refers to the existence of people and organisations (economic, political, social and technical), both public and private, with a direct or indirect interest in the development of the territory.When we analyse the six variables of this dimension, both territories receive scores of around 50% for the presence of specific stakeholders and interest groups (specific resources for development), with scores of between 46% and 52%. However, they differ considerably in the score received for the variety of socioeconomic actors, which is low in the Rincón de Ademuz (36%), while it achieves a pass mark in Los Serranos (52%). And the contrary occurs with the results obtained from the contacts between the different actors or interest groups in the territory, which achieve minimal success in the Rincón de Ademuz (50%) and a low score in Los Serranos (41%). What is noteworthy in this dimension is that an inverse process is detected for both comarcas. In Los Serranos, there are more actors and they are more varied than in Rincón de Ademuz, but in the latter comarca there is a remarkable process of detection, study, analysis, contact and proposals for collaboration among the actors. Does this presence of actors and their identification processes indeed translate into dynamics for activating and mobilising the territories’ resources? This question will be answered in the next section.
- Finally, the issue of dynamics is closely related to that of actors. For dynamics to exist in the territory, not only must the actors be detected and defined, but there must also be spaces for meeting and exchange. In both comarcas, there is a wide margin for improvement and progress as regards these issues, with worse scores in El Rincón de Ademuz. It is true that there are forums and meeting points for development at a local level, with an average degree of consolidation and institutionalisation (creation of participatory bodies) that varies between 46% and 56%. However, when it comes to the functioning of these forums and their timing throughout the year, the scores drop to between 32% and 44% of their capacity. As a consequence, the existence of socio-institutional networks for interaction between the different local social actors or interest groups is also low, resting at between 38% and 50%. This also implies that the existence of methodologies and strategic plans is only slightly above 40% in both territories.Only the assessment of the joint vision of development (between 46% and 48%) and the existence of territorial leadership (especially in Los Serranos) are saved from these negative scores.
5. Conclusions
- On the one side, the statistical data on population show that Los Serranos maintains its percentage score as regards the average regional population, slightly increasing its population density. Moreover, the dependency ratio fell in El Rincón de Ademuz and Los Serranos in the same period. Likewise, the percentage of people over 64 decreased in the first comarca and remained practically the same in the second. Finally, the crude mortality rate reversed its trend and dropped between 2017 and 2022 in both territories.Similarly, the AEDLs interviewed have awarded a marginal pass to the recent evolution of the population and the settlement of people in the municipalities, with values around 50–55% of their capacity (Figure 3), which is also positive. The explanation provided is that the pandemic has slowed the rate of exodus and ageing but has not stopped it. Young people continue to leave, and the population continues to be predominantly older.Focusing on the AEDLs’ vision in Figure 3, what stands out is that the recent evolution of the population is valued slightly lower than that of the economy. The evaluation of Los Serranos is slightly better than that of El Rincón de Ademuz for every indicator.According to the working hypothesis, the previous statistical analysis combined with the diagnosis of the AEDLs shows two comarcas whose ability to settle the population is less than their capacity for economic development.
- On the other side, analysis of statistical data for employment generation also reveals some encouraging data. Between 2017 and 2022, the number of companies and the Social Security affiliation rate have risen in both comarcas. In addition, the number of unemployed people registered with the public employment service and the unemployment rate have decreased in both territories, indicating an improvement in the labour market.The insights into employment generation gained from certain specific subsections of the READI© matrix reveal that the “quality of job created” and “labour importation” are valued slightly better than “quantity of job created” and “labour exportation”. Therefore, a greater problem is perceived in the quantity of employment than in its quality and, likewise, a greater problem in the ability to export labour than in the ability to import.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
1 | Comarca is a territorial unit in Spain and Latin American countries comparable to a county. It provides an accepted spatial framework and constitutes the highest administrative level for which there are complete and official statistical data (adapted from [29]). |
2 | The AEDLs are the technicians in charge of employment and local development policies in the territory for which they work (municipalities or groups of municipalities). The AEDL acronym is also known as ADL in Spain and is sometimes translated as Local Employment and Development Agents (instead of Officers) by some Spanish authors. This figure is described in more detail in [30]. |
3 | Matrix registered as a product resulting from the research project code UV-MET- 202060R, developed by GRIDET—Territorial Development Research Group of the University of Valencia). |
4 | In this paper, capacity will be considered as “the amount that something can produce”. |
5 | A triangulated methodology was used in these diagnoses, combining analysis of secondary statistical sources from public administrations, in-depth interviews with socioeconomic actors in the territory and social forums for development. Twenty-eight interviews and one social forum per comarca were conducted, where 30 stakeholders participated. |
6 | First dimension of the matrix. |
7 | First variable of the dimension Resources. |
8 | First subsection of the variable Economic Resources. |
9 | Dependency ratio = [(Population aged under 16 + Population aged over 64)/(Population aged from 16 to 64)] ×100 |
10 | Ageing index = [Population aged over 64/Population aged under 16] ×100 |
11 | Longevity index = [Population aged over 74/Population aged over 64] ×100 |
12 | Trend index = [Population aged under 5/Population aged from 5 to 9] ×100 |
13 | Labour Force Renewal Index = [Population aged from 20 to 29/Population aged from 55 to 64] ×100 |
14 | DIRCE: Central Directory of Companies of the National Institute of Statistics (INE) |
15 | SS affiliation rate = [Number of affiliates contributing to Social Security/Working age population (16–64)] ×100 |
16 | See note 14 above |
17 | Gender unemployment gap = [Female unemployment rate—Male unemployment rate] |
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MATRIX Summary—Resources, Actors and Dynamics | Scores |
---|---|
RESOURCES6 | 200 |
ECONOMIC7 | |
Own funding sources8 | 15 |
External funding sources (public) | 10 |
External funding sources (public–private) | 10 |
External funding sources (private) | 10 |
Interest in and seeking participation in European projects | 5 |
PRODUCTIVE | |
Quantity of employment generated | 15 |
Quality of employment generated | 20 |
Productive fabric | 10 |
Productive sectors (quantity) | 5 |
Size of companies | 5 |
HUMAN | |
Average education level of the population | 10 |
Labour migration balance (local employment system) | 10 |
SPATIAL | |
Natural resources | 10 |
Tourism resources | 10 |
Cultural resources | 10 |
Production resources | 15 |
Geographical location | 10 |
Infrastructure | 10 |
ACTORS | 150 |
Specific resources for development | 25 |
Presence of socioeconomic actors | 25 |
Presence of a variety of socioeconomic actors | 25 |
Detection, study and analysis process | 20 |
Contact process and collaboration proposals | 30 |
Results obtained | 25 |
DYNAMICS | 150 |
Forums and meeting points | 30 |
Types of forum and meeting points | 20 |
Territorial leadership | 25 |
Socio-institutional networks at local level | 25 |
Methodologies and strategic plans | 25 |
Joint vision of territorial development | 25 |
TOTAL MAXIMUM SCORE | 500 |
Indicators (in Parentheses the Year of the Beginning of the Series for Each Indicator) | El Rincón de Ademuz | La Serranía | Valencian Community | ||||
---|---|---|---|---|---|---|---|
Demographics | Start of Series | 2017 | 2021/2022 | Start of Series | 2017 | 2021/2022 | 2021/2022 |
Population (1996) | 3013 | 2289 | 2189 | 17,169 | 16,237 | 16,604 | 5,097,967 |
Population percentage over the Valencian Community population (%) (1996) | 0.08 | 0.05 | 0.04 | 0.43 | 0.33 | 0.33 | |
Density (inhabitants/km2) (1996) | 8.1 | 6.2 | 5.9 | 12.2 | 11.6 | 11.8 | 219.2 |
Children under 16 (%) (2001) | 9.3 | 12.2 | 11.1 | 10.5 | 11.1 | 10.8 | 15.0 |
Older than 64 (%) (2001) | 35.5 | 30.8 | 29.7 | 27.5 | 27.7 | 27.7 | 20.0 |
Women (%) (1996) | 48.8 | 47.0 | 46.2 | 49.1 | 47.5 | 47.4 | 50.8 |
Dependency ratio9 (2001) | 81.0 | 75.3 | 68.8 | 61.4 | 63.4 | 62.7 | 54.6 |
Ageing index10 (2002) | 380.30 | 252.30 | 263.30 | 264.70 | 248.80 | 251.00 | 128.9 |
Longevity index11 (2002) | 52.00 | 61.90 | 64.50 | 49.00 | 53.80 | 53.90 | 48.1 |
Trend index12 (2002) | 102.7 | 59.6 | 80.0 | 67.7 | 81.2 | 77.9 | 81.4 |
Labour Force Renewal Index13 (2002) | 86.7 | 59.3 | 54.1 | 114.3 | 68.7 | 60.6 | 74.9 |
Crude birth rate (‰) (2010) | 7.2 | 5.0 | 4.9 | 7.0 | 6.3 | 5.5 | 7.1 |
Total fertility rate (‰) (2010) | 37.43 | 30.26 | 31.85 | 34.88 | 35.68 | 31.36 | 32.52 |
Crude mortality rate (‰) (2010) | 17.6 | 20.1 | 19.3 | 12.6 | 14.7 | 14.3 | 9.9 |
Life expectancy at birth (men) (2010) | 78.4 | 77.9 | 78.4 | 79.3 | 79.9 | 80.2 | 79.5 |
Life expectancy at birth (women) (2010) | 84.2 | 83.6 | 83.8 | 84.5 | 84.9 | 85.0 | 85.0 |
Companies | Start of series | 2017 | 2021/2022 | Start of series | 2017 | 2021/2022 | 2021/2022 |
No. of companies (DIRCE14) (2012) | 180 | 174 | 162 | 1.084 | 1.005 | 1.029 | 370.645 |
No. of companies registered with Social Security (2012) | 64 | 58 | 75 | 408 | 435 | 459 | 150.491 |
Employment | Start of Series | 2017 | 2021/2022 | Start of Series | 2017 | 2021/2022 | 2021/2022 |
Registered unemployment (No. of people) (1996) | 134 | 131 | 123 | 701 | 1.092 | 883 | 338.243 |
Unemployment rate (%) (2006) | 5.9 | 9.6 | 9.3 | 6.2 | 10.8 | 8.7 | 10.3 |
Registered new contracts (2007) | 118 | 87 | 70 | 278 | 275 | 240 | 104.916 |
SS affiliation rate15 (%) (2012) | 29.8 | 32.4 | 34.6 | 32.5 | 38.1 | 43.9 | 61.0 |
Women’s SS affiliation rate (%) (2012) | 39.2 | 40.7 | 43.4 | 39.9 | 39.6 | 42.7 | 46.3 |
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Calvo-Palomares, R.; Aguado-Hernández, J.A.; Sigalat-Signes, E.; Roig-Merino, B. Evaluation of Territorial Capacity for Development: Population and Employment. Land 2023, 12, 1773. https://doi.org/10.3390/land12091773
Calvo-Palomares R, Aguado-Hernández JA, Sigalat-Signes E, Roig-Merino B. Evaluation of Territorial Capacity for Development: Population and Employment. Land. 2023; 12(9):1773. https://doi.org/10.3390/land12091773
Chicago/Turabian StyleCalvo-Palomares, Ricard, Juli Antoni Aguado-Hernández, Enric Sigalat-Signes, and Bernat Roig-Merino. 2023. "Evaluation of Territorial Capacity for Development: Population and Employment" Land 12, no. 9: 1773. https://doi.org/10.3390/land12091773
APA StyleCalvo-Palomares, R., Aguado-Hernández, J. A., Sigalat-Signes, E., & Roig-Merino, B. (2023). Evaluation of Territorial Capacity for Development: Population and Employment. Land, 12(9), 1773. https://doi.org/10.3390/land12091773