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G07-O2 Spatial Attributes of (de)Population, Ageing, Loneliness and Demographics

Tracks
Ordinary Session
Thursday, August 28, 2025
16:30 - 18:30
D1 - 4th Floor

Details

Chair: Prof. Francisco J. Velazquez


Speaker

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Dr. Prodromos Prodromidis
Senior Researcher
Centre for Planning & Economic Research (kepe)

Probing the spatial distribution of the new birth cohorts across the EU-27 and Greece

Author(s) - Presenters are indicated with (p)

Prodromos Prodromidis (p)

Discussant for this paper

Yuhyun Sung

Abstract

As birth rates fall below the population replacement threshold in many parts of the world for the first time in ages, they cause considerable concern at the local, regional, national and international level. As a result, the EU Commission (2023) has presented the member states with a set of policy tools for managing demographic change, and the OECD’s (2024) has issued guidelines to prepare local communities for the demographic change. The paper looks into the spatial distribution of the new birth cohorts across the EU-27 in 2024 (as provided by Eurostat) and across Greece (based on the country’s 2021 census), and empirically analyzes the population shares. The estimated parameters of the explanatory factors employed suggest that there is room for diversified policy interventions and responses.
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여사 Yuhyun Sung
박사과정을 공부하다
Seoul National University Graduate School of Environmental studies

Factors influencing childcare environment satisfaction: A multi-level analysis in South Korea

Author(s) - Presenters are indicated with (p)

Yuhyun Sung (p), In Kwon Park

Discussant for this paper

Eva Výrostová

Abstract

As low fertility becomes an accelerating challenge across high-income East Asian countries, Korea’s ultra-low fertility phenomenon remains exceptionally severe. In the Korean context, the main causes of low fertility have been attributed to the burden of child care and the metropolitan-centered regional imbalance. The COVID-19 pandemic has further intensified public demands for the “socialization of care.” To address this, it is essential to first establish a high-quality urban environment where children can be cared for with confidence. However, previous research on child care-friendly urban environments has been largely limited to localized elements such as housing and pedestrian conditions, with insufficient consideration of broader regional contexts.
This study empirically examines how urban environmental factors influence satisfaction with the care environment, employing both inter-group comparisons (t-test) and multi-level analysis. It further investigates how these influences differ within the context of regional imbalance between metropolitan and non-metropolitan areas.
The main findings are as follows. First, satisfaction with the care environment was higher in non-metropolitan areas, while urban environmental indicators were relatively more favorable in the metropolitan area. Notably, substantial disparities were found in care-supporting resources, including accessibility to public infrastructure, the number of pediatric clinics, and the number of private academies. Second, urban crime safety levels showed a positive association with care environment satisfaction in both metropolitan and non-metropolitan areas. This finding objectively reaffirms that crime-safe environments are perceived as a top priority in child care. Third, the factors influencing care environment satisfaction differed between metropolitan and non-metropolitan regions. In metropolitan areas, positive effects were observed for public care facilities, average available care hours, public infrastructure, and private academies, which help address high care costs and extended care demands. In contrast, in non-metropolitan areas, the operation rate of school buses—which compensates for limited accessibility—along with basic care infrastructure such as care facilities and pediatric clinics, had a significant positive impact on satisfaction.
These findings highlight the need for a regionally sensitive approach in building community-based care systems, one that moves beyond a simplistic urban–rural dichotomy and accounts for structural regional imbalances.
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Ms Eva Výrostová
Assistant Professor
Faculty of Economics and Administration, Masaryk University

Key Factors in Healthy Ageing: A Regional Analysis

Author(s) - Presenters are indicated with (p)

Eva Výrostová (p)

Discussant for this paper

Francisco J. Velazquez

Abstract

The proportion of older people in European countries is increasing, impacting various aspects of society, including health and social systems, social infrastructure, productivity, economic growth, and quality of life. Promoting healthy ageing can enhance the labour supply, reduce early retirement, alleviate pressure on health and social care systems, and enable older individuals to contribute meaningfully to their families and communities. Consequently, healthy ageing is a significant area of research.

Healthy ageing is a multifaceted concept that includes the absence of chronic diseases, good mental and physical functioning, normal cognitive function, and active social participation. The WHO defines healthy ageing as “the process of developing and maintaining the functional ability that enables wellbeing in older age.”

This research study aims to evaluate the determinants of healthy ageing at a regional level, focusing on the social and physical environment while controlling for personal characteristics (e.g., age, gender, income, education, socio-economic and marital status). We combine individual-level data from the Survey of Health, Ageing and Retirement in Europe (SHARE) with Eurostat data. The study aims to identify key drivers contributing to healthy ageing, and discuss their policy implications.

The work was supported from ERDF/ESF project Ageing of the population and related challenges for health and social systems (AGEING-CZ) (No. CZ.02.01.01/00/23_025/0008743).
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Dr. David Martín-Barroso
University Lecturer
Universidad Complutense de Madrid

Disentangle the depopulation process in rural Spain

Author(s) - Presenters are indicated with (p)

Francisco J. Velazquez (p), David Martín-Barroso (p), Juan Andrés Núñez-Serrano

Discussant for this paper

Prodromos Prodromidis

Abstract

The objective of this paper is to understand and classify the depopulation process of rural Spain into different components and find some structural determinants for this tendency. Firstly, it aims to differentiate between areas (municipalities) that have experienced a historical and ongoing depopulation process over time, and those where depopulation is a more recent, though accelerated, phenomenon. This initial classification helps establish a typology, which leads to a second analysis of the determinants. In the first type of areas, the determinants are "more" structural, derived from their location, and are responsible for the depopulation process. In the second type, the determinants must be sought in the same factors, but in reverse, explaining the population concentration process in cities. In this regard, depopulation is considered the opposite side of agglomeration in cities.

To carry out the analysis, all Spanish population censuses since 1856 have been homogenized, along with the 1842 "quasi-census" – Madoz's dictionary – using the municipal definition of 2020. While other attempts at homogenization have been made, this is the only one that incorporates, with a modern municipal definition, the data available for the 19th century. The aim is to ensure that the observed population trends are not interrupted merely by a methodological change in census preparation (1900) that does not significantly affect the population count. As a result, a historical series of municipal-level population data is available from 1850 to 2020, with decennial information. This is the data initially used to classify the depopulation process. Additionally, as location variables, all physical characteristics – coordinates, altitude, ruggedness, coast, etc. – are available, along with other interaction-related variables such as a market potential measure calculated for each available cross-section, although not related to infrastructure due to the lack of this information.

The provisional results, available at this time, confirm the relevance of some of the location factors, as previously described, in the depopulation process, particularly those related to municipalities showing very long-term historical trends in this regard. Regarding agglomeration factors, two results are evident in some of the specifications. The first is the relevance of market potential, which is a measure that combines the distance to other municipalities along with their population, in the depopulation process, especially in areas where this situation is more recent and intense. The second is that certain population thresholds in the municipalities themselves act as a brake on depopulation.

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