TY - JOUR

T1 - Who Interacts with Whom?

T2 - Drivers of Networked Welfare Governance in Europe

AU - Martinsen, Dorte Sindbjerg

AU - Schrama, Reini

AU - Mastenbroek, Ellen

PY - 2021

Y1 - 2021

N2 - Migration is often perceived as a challenge to the welfare state. To manage this challenge, advanced welfare states have established transgovernmental networks. This article examines how domestic factors condition the interaction of representatives of advanced welfare states when they cooperate on transnational welfare governance. Based on new survey data, it compares who interacts with whom in one of the oldest transgovernmental networks of the European Union (EU) - the network that deals with EU citizens' rights to cross-border welfare. First, the authors perform a welfare cluster analysis of EU-28 and test whether institutional similarity explains these interactions. Furthermore, they test whether the level and kind of migration explains interaction and examine the explanatory value of administrative capacity. To test what drives interactions, the study employs social network analysis and exponential random graph models. It finds that cooperation in networked welfare governance tends to be homophilous, and that political cleavages between sending and receiving member states are mirrored in network interactions. Domestic factors are key drivers when advanced welfare states interact.

AB - Migration is often perceived as a challenge to the welfare state. To manage this challenge, advanced welfare states have established transgovernmental networks. This article examines how domestic factors condition the interaction of representatives of advanced welfare states when they cooperate on transnational welfare governance. Based on new survey data, it compares who interacts with whom in one of the oldest transgovernmental networks of the European Union (EU) - the network that deals with EU citizens' rights to cross-border welfare. First, the authors perform a welfare cluster analysis of EU-28 and test whether institutional similarity explains these interactions. Furthermore, they test whether the level and kind of migration explains interaction and examine the explanatory value of administrative capacity. To test what drives interactions, the study employs social network analysis and exponential random graph models. It finds that cooperation in networked welfare governance tends to be homophilous, and that political cleavages between sending and receiving member states are mirrored in network interactions. Domestic factors are key drivers when advanced welfare states interact.

KW - cluster analysis

KW - European Union

KW - migration

KW - social network analysis

KW - transgovernmental networks

KW - welfare states

U2 - 10.1017/S0007123420000204

DO - 10.1017/S0007123420000204

M3 - Journal article

AN - SCOPUS:85088580947

VL - 51

SP - 1636

EP - 1653

JO - British Journal of Political Science

JF - British Journal of Political Science

SN - 0007-1234

IS - 4

ER -