Data · dataset · 2000
An Economics Analysis of Using Transferable Permit System to Control Water Pollution: Hog Farming at the Dung-Kang River Watershed
Listed in Harvard Dataverse
Controlling for water pollution is the on-going concern for the environmental agency and the general public.
Description
To better control for the surface water pollution problem, the EPA was considering a new practice that asked for the polluting firms which are located at the same watershed to meet the limit of total emissions level. However, the current practice asks for the firms to apply for emissions permit beforehand while it lacks for the feasibility of transferring from one producer to the other.
How to modify the current system to make it more efficient to allocate the total amount of emissions could be greatest challenge. From theoretical point of view and from experiences from other countries, the use of marketable or transferable permit system seems to be a good alternative. The system would allow for the existing firms to sell their permits openly on the market.
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In this study, the feasibility of using marketable permits system for total emissions control was explored. The industrial structure of the hog farming and their cost structure at the Tung-Kang River Watershed were studied. Information obtained from secondary and primary data was used to conduct policy simulation.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E88028-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e88028-1 ↗
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
Topics
- Inferred from text
- Environmental engineering 74% · Simulation 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E88028-1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4011 | enrichment · Harvard Dataverse | taxonomy-embedding@1.1.0 | title+keywords+description (74%) |
| concepts[method].local:method:simulation | enrichment · Harvard Dataverse | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |