Understanding interlocal collaboration for service delivery for migrant workers during the COVID-19 pandemic: evidence from Guangdong, China

Xuechun Wang; Ziteng Fan

doi:10.1080/14719037.2022.2116095

Understanding interlocal collaboration for service delivery for migrant workers during the COVID-19 pandemic: evidence from Guangdong, China

Xuechun Wang, Ziteng Fan^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Interlocal collaboration for service delivery (ICSD) for migrant workers has grown rapidly in the postpandemic era. Nevertheless, limited research has investigated the mechanisms through which localities interact with one another in the implementation process. This study explores under what conditions a city collaborates more with one city than another in ICSD for migrant workers in Guangdong Province, China. Our results show that geographical proximity, workforce similarity, and administrative status asymmetry are positively related to partner selection. City mayors’ personal connections are associated with a higher collaboration degree. However, problem severity has negative impacts on both partner selection and collaboration degree.

Original language	English
Pages (from-to)	863-883
Number of pages	21
Journal	Public Management Review
Volume	26
Issue number	4
Early online date	Aug 2022
DOIs	https://doi.org/10.1080/14719037.2022.2116095
Publication status	Published - 2024
Externally published	Yes

Keywords

directed dyadic analysis
Interlocal collaboration
migrant workers
transaction costs

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1080/14719037.2022.2116095

Cite this

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title = "Understanding interlocal collaboration for service delivery for migrant workers during the COVID-19 pandemic: evidence from Guangdong, China",

abstract = "Interlocal collaboration for service delivery (ICSD) for migrant workers has grown rapidly in the postpandemic era. Nevertheless, limited research has investigated the mechanisms through which localities interact with one another in the implementation process. This study explores under what conditions a city collaborates more with one city than another in ICSD for migrant workers in Guangdong Province, China. Our results show that geographical proximity, workforce similarity, and administrative status asymmetry are positively related to partner selection. City mayors{\textquoteright} personal connections are associated with a higher collaboration degree. However, problem severity has negative impacts on both partner selection and collaboration degree.",

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AU - Fan, Ziteng

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N2 - Interlocal collaboration for service delivery (ICSD) for migrant workers has grown rapidly in the postpandemic era. Nevertheless, limited research has investigated the mechanisms through which localities interact with one another in the implementation process. This study explores under what conditions a city collaborates more with one city than another in ICSD for migrant workers in Guangdong Province, China. Our results show that geographical proximity, workforce similarity, and administrative status asymmetry are positively related to partner selection. City mayors’ personal connections are associated with a higher collaboration degree. However, problem severity has negative impacts on both partner selection and collaboration degree.

AB - Interlocal collaboration for service delivery (ICSD) for migrant workers has grown rapidly in the postpandemic era. Nevertheless, limited research has investigated the mechanisms through which localities interact with one another in the implementation process. This study explores under what conditions a city collaborates more with one city than another in ICSD for migrant workers in Guangdong Province, China. Our results show that geographical proximity, workforce similarity, and administrative status asymmetry are positively related to partner selection. City mayors’ personal connections are associated with a higher collaboration degree. However, problem severity has negative impacts on both partner selection and collaboration degree.

KW - directed dyadic analysis

KW - Interlocal collaboration

KW - migrant workers

KW - transaction costs

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Understanding interlocal collaboration for service delivery for migrant workers during the COVID-19 pandemic: evidence from Guangdong, China

Abstract

Keywords

UN SDGs

Access to Document

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