dc.contributor.author | UMBACH, Gaby | |
dc.contributor.author | LAURER, Moritz | |
dc.coverage.spatial | 193 states | |
dc.coverage.temporal | 2021 | |
dc.date.accessioned | 2022-03-11T14:22:32Z | |
dc.date.available | 2022-03-11T14:22:32Z | |
dc.date.created | 2021 | |
dc.date.issued | 2021 | |
dc.identifier.other | EUI_ResData_00049_RSC | |
dc.identifier.uri | https://hdl.handle.net/1814/74334 | |
dc.description | 1 data file, 1 documentation file | |
dc.description.abstract | The dataset focuses on transnational private regulatory regimes, schemes and standards, is mapping their institutional diversity and contributes to their analysis and classification. Thematically it largely focuses on three policy areas, namely climate change, internet governance, sustainable development. The entries of the dataset contain 22 variables to allow for in-depth analysis of their quality, emergence over time, and relevance. To enable a comaprative analysis of the different types of transnational private regulation, the dataset includes textual descriptions, information on sector of application, types of certificates, conformity assessment type, assessment frequency and procedure as well as on the validity of the certificate. To assess political economy questions of transnational private regulation in global governance, the dataset adds information on the organisations behind the transnational private regulatory approaches. Information provided for this area of analysis are type, form, organisational structure, geographic scope and continental reach, year of establishment, seat, number and type of members, membership requirements. The data was collected and coded in two steps: First, a larger dataset on international (public-)private standards was scraped from the ITC standards map. For this initial machine-generated dataset, the variables were adopted from the ITC standards map. Second, the datasetメs individual coding scheme determined which information was integrated into the data collection. Given this two-step approach, the data collection started with a partly pre-defined list of variables, which was amended and manually coded. | |
dc.format | Excel file | |
dc.format.mimetype | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | |
dc.language.iso | en | |
dc.publisher | European University Institute | |
dc.relation.ispartofseries | EUI Research Data | en |
dc.relation.ispartofseries | 2021 | en |
dc.relation.ispartofseries | Robert Schuman Centre for Advanced Studies | en |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | International cooperation | |
dc.subject | Industrial organization | |
dc.subject.classification | HA-EA | |
dc.subject.ddc | 338.88 | |
dc.subject.lcsh | International economic relations | |
dc.title | Dataset on transnational private regulatory regimes | |
dc.type | Dataset | |
eui.subscribe.skip | true | |
dc.rights.license | Creative Commons Attribution 4.0 International | |