Data · dataset · 2006
Regulatory Impact Analysis in Taiwan: an Empirical Study of Framework and Criteria Structuring
Listed in Harvard Dataverse
Regulatory Impact Analysis (RIA) is being increasingly used as a tool for appraising the costs and benefits of new regulation proposals and evaluating the performance of existing regulations.
Description
RIA is also a process that contributes to better governance, by improving transparency and accountability of public decision making. By now, more than half of OECD countries had adopted RIA programs, up from one or two in 1980s, and an increasing proportion of laws and other regulations affecting citizens are being shaped in part by various forms of RIA.
However, a sound framework and principles for RIA is still lacking in Taiwan. The purpose of this plan is therefore to propose a generic RIA framework for Taiwan. This study is divided into four parts. 1.an overview of RIA in OECD countries is conducted to serve as benchmark. 2.the regulatory practice of Taiwan is examined in terms of the shortage of RIA framework. 3.the major dimension and criteria of RIA are identified by Policy Delphi. 4.a generic RIA framework is proposed by Analytic Hierarchy Process.
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This study will contribute largely to regulatory reform both in theory and practice.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E93030-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e93030-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Provenance · 1 source records, 5 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E93030-1 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |