Labour and residential accessibility: a Bayesian analysis based on Poisson gravity models with spatial effects

Alonso, M. Pilar; Beamonte, María Asunción; Gargallo, Pilar; Salvador, Manuel

doi:10.1007/s10109-014-0201-3

Cited by 2 publications

(2 citation statements)

References 35 publications

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“…(1) Modified gravity model A gravity model (in a variety of forms) has been widely used in many fields based on spatial interaction effects, such as trade flows between countries, regional border effects, and labor and Sustainability 2020, 12, 1227 5 of 21 residential accessibility [30][31][32]. In geographical science, a gravity model is often used to explain distance decay effects [33], where the interaction strength between two urban regions decreases as the geographical distance between them increases, as shown in Equation (2).…”

Section: Evaluation Of the Economic Linkagementioning

confidence: 99%

Examining the Relationship between Urban Land Expansion and Economic Linkage Using Coupling Analysis: A Case Study of the Yangtze River Economic Belt, China

Chen

Huang

et al. 2020

Sustainability

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Urban land expansion (ULE) has caused negative effects as a result of urbanization and industrialization in China in the past few decades. Strengthening economic linkage and the cooperation among regions has great implications for effectively controlling disorderly ULE and achieving sustainable and intensive land use. Previous research has rarely investigated the relationship between ULE and economic linkage. Therefore, this study analyzes the spatial patterns of ULE and economic linkage in the Yangtze River Economic Belt (YREB) of China via social network analysis and a gravity model. Moreover, the spatial relationship and coupling level between ULE and economic linkage are investigated by building a bivariate spatial autocorrelation model and a coupling coordination degree model, respectively. The results indicate that the YREB experienced rapid ULE, and the area increased from 4.24 × 10 4 km 2 in 1990 to 7.89 × 10 4 km 2 in 2015. The cities that experience rapid ULE have gradually transferred from the east to the west of the YREB. In addition, the economic linkage in eastern cities is evidently higher than that of western cities. Our bivariate spatial model further proves that there are strong negative spatial correlation characteristics between ULE and economic linkage. This indicates that the higher the economic linkage, the lower the speed of ULE. Moreover, the coupling coordination between ULE and economic linkage show that the overall coupling stage changed from an antagonistic stage to a running-in stage. However, the coupling coordination in the YREB presented significant spatial heterogeneity, and most cities in urban agglomeration had a relationship between ULE and economic linkage that was barely balanced, slightly unbalanced, or seriously unbalanced. By considering the limitations and obstacles of current initiatives, suggestions and policy implications for sustainable land use at large regional scales are suggested.

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Section: Evaluation Of the Economic Linkagementioning

confidence: 99%

Examining the Relationship between Urban Land Expansion and Economic Linkage Using Coupling Analysis: A Case Study of the Yangtze River Economic Belt, China

Chen

Huang

et al. 2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…So, this research treats renting activities as monetary transfers, 1 between and within different economic sectors and regions. (Malpezzi 1996;Cameron and Muellbauer;1998), public transit systems (Elhorst and Oosterhaven 2006;Kawabata and Shen 2007), labor and residential accessibility (often decomposed into the attractiveness and impedance components) (Thill and Kim 2007;Alonso et al 2014), education levels (Magrini and Lemistre 2013), gender (Kwan and Kotsev 2015), ethnicity (Williams et al 2014) and lifestyle preferences (Walker and Li 2007). This paper does not aim to discuss the relative importance of these explanatory variables.…”

Section: Commuting Embedded In Multi-regional Input-output Modelsmentioning

confidence: 99%

Modeling commuting patterns in a multi-regional input–output framework: impacts of an ‘urban re-centralization’ scenario

et al. 2017

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Labour and residential accessibility: a Bayesian analysis based on Poisson gravity models with spatial effects

Cited by 2 publications

References 35 publications

Examining the Relationship between Urban Land Expansion and Economic Linkage Using Coupling Analysis: A Case Study of the Yangtze River Economic Belt, China

Examining the Relationship between Urban Land Expansion and Economic Linkage Using Coupling Analysis: A Case Study of the Yangtze River Economic Belt, China

Modeling commuting patterns in a multi-regional input–output framework: impacts of an ‘urban re-centralization’ scenario

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