IntroductionOver time, surrogacy has become more broadly available to a variety of people (e.g. male same-sex couples or transgender women). Whether the wider public supports surrogacy, and what contributes to such support remains unclear. This study investigated what demographic and surrogacy arrangement-based (which people participate in the arrangement) factors shape attitudes towards surrogacy.MethodA representative sample of Dutch adults (N = 1,074) reported their attitudes on four (out of 30) randomly assigned vignettes in 2023. Each vignette described a surrogacy family with variations in sexuality and gender of parents, the social and genetic bonds between the parents, the surrogate, and the oocyte donor, and was followed by an attitude questionnaire (6 items). Multilevel regression analyses were conducted with attitudes as the dependent variable and demographic factors (gender, Dutch background, age, education, sexual orientation, urbanisation, and religiosity) and arrangement-based factors (parental composition, genetic and social bonds with the surrogate, and oocyte donors).ResultsParticipants held fairly positive attitudes towards surrogacy. People identifying as women, with only having a Dutch background, who were younger, more highly educated, non-heterosexual, or less religious were more likely to have positive attitudes. Participants had more positive attitudes if surrogacy arrangements entailed cis-man cis-woman parents compared to cis-man cis-man or transgender parents, and when there was no social bond between parents and oocyte donor.ConclusionsAttitudes are influenced by both demographic and arrangement-based factors. Based on these findings, families can be informed of fairly positive reactions they might encounter from their environment.
MULTIFILE
The Regional Development Effects Module (RDEM) will map the impact of migration on regional development seen on different variables. To construct the RDEM we have to:1. develop a typology of regions, based on the impact that mobility has on its economic, social and cultural development; and2. detect the causal linkages between regional mobility on the one hand and regional development on the other.In our presentation we will focus on the process to determine relevant regional development indicators that will help in the collection and analysis of relevant data for the period 2010-2022 on NUTS 2 and 3 level. Partners in our project will additionally focus on:1. Analysis of regional networks estimated from Facebook2. Building typology regional development3. Longitudinal causal analysis of mobility4. Integration of case studiesFinally, this will result in:• Online atlas of mobility & development typologies• Report Causal Analysis of mobility development
DOCUMENT
