The CHilean Internal Migration (CHIM) database: Temporally consistent spatial data for the analysis of human mobility

Rowe, Francisco

doi:10.18335/region.v4i3.198

Cited by 11 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Boundary changes over time have affected municipal geographies. To mitigate the impact of these changes and ensure a temporally consistent spatial framework, we used an “update to contemporary zones” approach (Rowe 2017) by adapting the municipal boundaries from 2000 to 2019 to the base of 2020 (see Goerlich et al 2015).…”

Section: Methodsmentioning

confidence: 99%

Understanding Population Decline Trajectories in Spain using Sequence Analysis

González‐Leonardo

Newsham

Rowe

2023

Geographical Analysis

Self Cite

View full text Add to dashboard Cite

Population decline is a key contemporary demography challenge. Previous work has measured the national extent of population decline, and we know that it is more acute in Japan and Eastern Europe and is set to accelerate across many industrialized countries. Yet, little is known about the population trajectories leading to current trends of depopulation and their underpinning demographic and contextual factors. To address this gap, we aim to identify and characterize the different trajectories of depopulation in Spain from 2000 to 2020 at the small area level using sequence analysis, spatial autocorrelation analysis, decomposition techniques, and multinomial logistic modeling. We show that while Spain recorded an overall 17.2% national population growth between 2000 and 2020, 63% of municipalities experienced depopulation. We identify six trajectories of population decline, with a well-defined northwest-south divide. These trajectories include mostly rural municipalities, but also certain small-and medium-sized cities. Natural decline comprises the main demographic component underpinning differences in the extent of depopulation across trajectories, and international migration plays an important role in explaining transitions to decline since the financial crisis of 2008. Small and old populations, and, to a lesser extent, remoteness from cities are key features characterizing areas of high decline.

show abstract

Section: Methodsmentioning

confidence: 99%

Understanding Population Decline Trajectories in Spain using Sequence Analysis

González‐Leonardo

Newsham

Rowe

2023

Geographical Analysis

Self Cite

View full text Add to dashboard Cite

show abstract

“…These areas are characterised by their relative population losses and are the focus of this study. A significant challenge of building a spatial panel data set is presented as geographic boundaries change over time (Rowe, 2017). We were largely able to mitigate the impact of this by harmonising these changes based on Eurostat's correspondence files, which provides a historical record of these changes.…”

Section: Datamentioning

confidence: 99%

“…To these ends, we apply a novel methodology in sequence analysis to a data set of annual population change capturing trajectories of depopulation in 696 subnational areas covering the period 2000–2018. Created for the study of DNA sequencing, sequence analysis has been applied in population studies to analyse individual‐level trajectories over the life course (e.g., Backman et al, 2021; Rowe et al, 2017). But it has rarely been used to examine the temporal evolution of spatial population trajectories, except for applications to understanding changes in the socioeconomic composition of neighbourhoods (Delmelle, 2016; Patias et al, 2021a, 2021b).…”

Section: Introductionmentioning

confidence: 99%

Understanding trajectories of population decline across rural and urban Europe: A sequence analysis

Newsham

Rowe

2022

Population Space and Place

Self Cite

View full text Add to dashboard Cite

Population decline is projected to become widespread in Europe, with the continental population set to reverse its longstanding trajectory of growth within the next 5 years. This represents unfamiliar demographic territory. Despite this, literature on decline remains sparse and our understanding porous. Particular epistemological deficiencies stem from a lack of both cross-national and temporal analyses of population decline. This study seeks to address these gaps through the novel application of sequence and cluster analysis techniques to examine variations in population decline trajectories since 2000 in 696 subnational areas across 33 European territories. The methodology allows for a holistic understanding of decline trajectories capturing differences in the ordering, timing, magnitude and spatial structure of population decline. We identify a typology of population decline distinguishing seven distinct pathways to depopulation and chart their geographies. Results revealed differentiated pathways of depopulation in continental subregions, with consistent and rapid declines in the east, persistent but moderate declines in central Europe, accelerating declines in the south and decelerating population declines in the west. Results also revealed differentiated patterns of depopulation across the rural-urban continuum, with urban and populous areas experiencing a deceleration in population decline, while decline accelerates or stabilises in rural areas. Small-and midsized areas displayed heterogeneous depopulation trajectories, highlighting the importance of local contextual factors in influencing trajectories of population decline.

show abstract

“…To overcome this problem, harmonisation approaches have been applied to produce consistent spatial frameworks for internal migration analysis. Drawing on these approaches, we tracked back and adjusted boundary changes to the most recent geography possible in order to create temporally consistent geographies for our sample of countries (Rowe, 2017).…”

Section: Internal Migration Data Issuesmentioning

confidence: 99%

Establishing the extent and pace of the contemporary trend of migration decline in Europe

Rowe¹

2018

Regions

Self Cite

View full text Add to dashboard Cite

show abstract

The CHilean Internal Migration (CHIM) database: Temporally consistent spatial data for the analysis of human mobility

Abstract: Abstract. Changes in zonal boundaries and coding schemes severely compromise temporal comparison of data.

Cited by 11 publications

References 4 publications

Understanding Population Decline Trajectories in Spain using Sequence Analysis

Understanding Population Decline Trajectories in Spain using Sequence Analysis

Understanding trajectories of population decline across rural and urban Europe: A sequence analysis

Establishing the extent and pace of the contemporary trend of migration decline in Europe

Contact Info

Product

Resources

About