Understanding interlocal collaboration for service delivery for migrant workers during the COVID-19 pandemic: evidence from Guangdong, China
研究广东省各城市在疫情期间为农民工提供跨地方服务时，哪些因素影响城市间的合作选择与合作程度，发现地理邻近、劳动力相似性和行政等级不对称促进合作，而问题严重性则起反作用。
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.