000			01817nam a22001577a 4500
999			_c517081 _d517081
008			210630b ||||| |||| 00| 0 eng d
100			_aHeijden, Machiel Van and Schalk, Jelmer _926066
245			_aNetwork relationships and standard adoption: Diffusion effects in transnational regulatory networks
260			_aPublic Administration: An International Quarterly
300			_a98(3), Sep, 2020: p.768-784
520			_aThe soft law measures that transnational regulatory networks produce have become increasingly important in regulating cross-border market activity. However, domestic agencies vary considerably in terms of the rate by which these soft law measures are adopted, and the ways in which they spread across jurisdictions are not well understood. This article argues that existing theoretical explanations referring to socialization or power dynamics have a specific network-structural pattern associated with them, and that longitudinal network analysis can be used to test their hypothesized effects. In particular, we study the widespread adoption of the International Organization of Securities Commissions’ (IOSCO) Multilateral Memorandum of Understanding (MMoU). Based on a longitudinal dataset (2002–15) of the inter-agency relationships between securities regulators (n = 109), we use Stochastic Actor-Oriented Models (SAOM) to predict the rate at which transnational standards are adopted by domestic agencies. The results indicate that standard adoption is contagious in the network of securities regulators. Reproduced
650			_aJurisdictions, International Organization of Securities Commissions, Stochastic Actor-Oriented Models, Securities regulators _926067
773			_aPublic Administration: An International Quarterly
906			_aPUBLIC ADMINISTRATION
942			_cAR