How socioeconomic and environmental factors impact the migration destination choices of different population groups in China: an eigenfunction-based spatial filtering analysis

Yu, Danlin; Zhang, Yaojun; Wu, Xiwei

doi:10.1007/s11111-020-00340-y

Cited by 17 publications

(11 citation statements)

References 70 publications

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“…The spatial lag Durbin model applied in this study is inherently related to the diffusion theory of fertility decline. Recently, some studies have already recognised the usefulness of spatial statistical methods for demographic research (Evans & Gray, 2018; Goldstein & Klüsener, 2014; Sabater & Graham, 2018; Vitali & Billari, 2017; Wang & Chi, 2017; Yu et al, 2020). The exploration, however, merits further investigation to better understand the nature and dynamics of demographic variations in China, where extremely rapid changes are underway in economic, social, and demographic realms.…”

Section: Findings and Discussionmentioning

confidence: 99%

Low fertility spread in China: A blended adaptation and diffusion explanation

Zhang

et al. 2022

Population Space and Place

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Based on blended diffusion theory which reconciles the two mechanisms of fertility change (due to adaptation to social structure change or due to diffusion), this study examines the role of adaptation and diffusion of China's low fertility in the first decade of the 21st century. A two-period panel data set on fertility for 358 prefecture-level administrative units assembled in 2000 and 361 in 2010 population census is used. Exploratory and confirmatory analysis techniques from spatial econometrics are applied to analyze this data. Results from exploratory spatial data analysis reveal a general spatial autocorrelation for fertility and its change. Inspection with local indicators of spatial autocorrelation identifies local spatial clusters of fertility: high-value clusters in the western region and low-value clusters in northeastern and east coast areas. Total fertility rates and its change are modelled with socioeconomic and demographic factors using a spatial lag Durbin model. The results suggest that the spread of low fertility in China tends to be consistent with blended diffusion theory. Low fertility in China not only adapts to economic growth, social development and even institution structure, but also influenced by diffusion of new attitudes and ideas related to childbearing and family formation. More importantly, adaptation diffuses too. Socioeconomic circumstances in neighbouring cities often are strongly interdependent. This study highlights the importance of 'bringing space back' to demographic research.

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Section: Findings and Discussionmentioning

confidence: 99%

Low fertility spread in China: A blended adaptation and diffusion explanation

Zhang

et al. 2022

Population Space and Place

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“…When the spatial patterns of the outcome are complex (e.g., depend on the spatial scale), the characteristics of spatial eigenvector analysis allows us to explore and detect spatial configuration patterns relevant to a specific (health) outcome. This methodology has been successfully used in other research areas to discover spatial/geographic patterns related to human migration [61], species biodiversity [62], and health disparities [51] among other themes. Although its use in geographic health inequalities is, to our knowledge, still limited, it is promising especially when identification of spatial patterns as potential predictors of an outcome is a target [63].…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Geographic Inequalities of Respiratory Health Services Utilization during Childhood in Edmonton and Calgary, Canada: A Tale of Two Cities

Serrano-Lomelin

Nielsen

Hicks

et al. 2020

IJERPH

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Young children are susceptible to respiratory diseases. Inequalities exist across socioeconomic groups for paediatric respiratory health services utilization in Alberta. However, the geographic distribution of those inequalities has not been fully explored. The aim of this study was to identify geographic inequalities in respiratory health services utilization in early childhood in Calgary and Edmonton, two major urban centres in Western Canada. We conducted a geographic analysis of data from a retrospective cohort of all singleton live births occurred between 2005 and 2010. We aggregated at area-level the total number of episodes of respiratory care (hospitalizations and emergency department visits) that occurred during the first five years of life for bronchiolitis, pneumonia, lower/upper respiratory tract infections, influenza, and asthma-wheezing. We used spatial filters to identify geographic inequalities in the prevalence of acute paediatric respiratory health services utilization in Calgary and Edmonton. The average health gap between areas with the highest and the lowest prevalence of respiratory health services utilization was 1.5-fold in Calgary and 1.4-fold in Edmonton. Geographic inequalities were not completely explained by the spatial distribution of socioeconomic status, suggesting that other unmeasured factors at the neighbourhood level may explain local variability in the use of acute respiratory health services in early childhood.

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“…In addition, many secondary industries were state‐owned enterprises during in 2005 which often had relatively rigid rules when recruiting new employees. Higher proportion of secondary industries might be regarded as cities with less job opportunities (C. Chen & Zhao, 2017; Hao & Tang, 2018; Yu et al, 2020).…”

Section: Findings and Discussionmentioning

confidence: 99%

China's place attractivity, population mobility and its mechanisms: Perspectives from a full spectrum of spatial analyses

Zhang

2022

Population Space and Place

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Understanding the potential mechanisms of population mobility is important in population studies. The current study calculates a place attractivity score and collects 12 socioeconomic and natural condition factors at the prefecture-level in China. A full spectrum of spatial autoregression and eigenfunction-based spatial filtering models are employed to investigate the relationship between place attractivity and the factors at the global level, which assumes the relationship stays the same everywhere. A random-effects eigenfunction-based spatial filtering spatially varying coefficient model is used to check the relationships at local level, which admits that relationships might be different in different locations. Results suggest that the eigenvector spatial filtering analysis models perform better than other models. China's population mobility is primarily driven by economic push-pull factors. Accessibility, job opportunity, temperature and terrain also play roles in determining a prefecture's attractivity.Local analysis suggests that the relationships are likely only true in large migration destinations.

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How socioeconomic and environmental factors impact the migration destination choices of different population groups in China: an eigenfunction-based spatial filtering analysis

Cited by 17 publications

References 70 publications

Low fertility spread in China: A blended adaptation and diffusion explanation

Low fertility spread in China: A blended adaptation and diffusion explanation

Geographic Inequalities of Respiratory Health Services Utilization during Childhood in Edmonton and Calgary, Canada: A Tale of Two Cities

China's place attractivity, population mobility and its mechanisms: Perspectives from a full spectrum of spatial analyses

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