Production efficiencies of U.S. electric generation plants: effects of data aggregation and greenhouse gas and renewable energy policy

K-REx Repository

Show simple item record

dc.contributor.author Lynes, Melissa Kate en_US
dc.date.accessioned 2015-07-14T13:35:36Z
dc.date.available 2015-07-14T13:35:36Z
dc.date.issued 2015-08-01 en_US
dc.identifier.uri http://hdl.handle.net/2097/19781
dc.description.abstract Over the last few decades there has been a shift in electricity production in the U.S. Renewable energy sources are becoming more widely used. In addition, electric generation plants that use coal inputs are more heavily regulated than a couple decades ago. This shift in electricity production was brought on by changes in federal policy – a desire for electricity produced in the U.S. which led to policies being adopted that encourage the use of renewable energy. The change in production practices due to policies may have led to changes in the productivity of electric generation plants. Multiple studies have examined the most efficient electric generation plants using the data envelopment analysis (DEA) approach. This study builds on past research to answer three questions: 1) Does the level of aggregation of fuel input variables affect the plant efficiency scores and how does the efficiency of renewable energy input compare to nonrenewable energy inputs; 2) Are policies geared toward directly or indirectly reducing greenhouse gas emissions affecting the production efficiencies of greenhouse gas emitting electric generation plants; and 3) Do renewable energy policies and the use of intermittent energy sources (i.e. wind and solar) affect the productivity growth of electric generation plants. All three analysis, presented in three essays, use U.S. plant level data obtained from the Energy Information Administration to answer these questions. The first two essays use DEA to determine the pure technical, overall technical, and scale efficiencies of electric generation plants. The third essay uses DEA within the Malmquist index to assess the change in productivity over time. Results indicate that the level of aggregation does matter particularly for scale efficiency. This implies that valuable information is likely lost when fuel inputs are aggregated together. Policies directly focused on reducing greenhouse gas emissions may improve the production efficiencies of greenhouse gas emitting electric generation plants. However, renewable energy policies do not have an effect on productivity growth. Renewable energy inputs are found to be as efficient if not more efficient than traditional energy sources. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Production efficiencies en_US
dc.subject Electric utility plants en_US
dc.subject Renewable energy policies en_US
dc.subject Energy Economics en_US
dc.title Production efficiencies of U.S. electric generation plants: effects of data aggregation and greenhouse gas and renewable energy policy en_US
dc.type Dissertation en_US
dc.description.degree Doctor of Philosophy en_US
dc.description.level Doctoral en_US
dc.description.department Department of Agricultural Economics en_US
dc.description.advisor Jeffery R. Williams en_US
dc.subject.umi Economics (0501) en_US
dc.subject.umi Economics, Agricultural (0503) en_US
dc.subject.umi Environmental economics (0438) en_US
dc.date.published 2015 en_US
dc.date.graduationmonth August en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search K-REx


Advanced Search

Browse

My Account

Statistics








Center for the

Advancement of Digital

Scholarship

cads@k-state.edu