Grants and Contracts Details
Description
In this project, Contractor will estimate the likely effects of increased electricity
prices due to energy-related environmental policies such as changes in the
.implementation of the Clean Air Act, greenhouse gas emissions regulations or
legislation, or renewable portfolio standards (RPS) on Kentucky's industrial
sector. Contractor will pay particular attention to the effects on employment and
on the Gross State Product (GSP) due to changes in the most energy intensive
components of our industrial economy.
This process involves two steps. The first is to identify the immediate, or the
short-run, effects of electricity price increases on employment and production (i.e.
output) in the energy intensive industrial sector.
In order to assess the likely change in elasticity in the long run, Contractor
proposes to adapt previous models on long-run effects on energy price increases
and adapt them for the policy scenarios under consideration in this analysis.
Specifically, Contractor will study effects of changes in electricity prices in
Kentucky and surrounding states.
The project will be divided into three parts, with one deliverable for each part.
The first part will develop the scenarios for analysis and will complete the
literature searches for the short-run and the long-run analyses. The deliverable for
this part will be a memo summarizing the findings concerning the scenarios and
the literature review. In the second part of the project, Contractor will estimate
the short-run effects ofthe proposed scenarios. Again, the deliverable for this part
will be a memo summarizing the short-run effects. In the third and final part of
the analysis, Contractor will conduct the long-run analysis. The third deliverable
is a final report that will contain the results from all analyses.
Status | Finished |
---|---|
Effective start/end date | 11/1/10 → 9/30/11 |
Funding
- KY Energy and Environment Cabinet: $149,451.00
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.