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dc.contributor.advisorKling, Robert
dc.contributor.advisorZahran, Sammy
dc.contributor.authorKerschen, Matthew
dc.contributor.committeememberBond, Craig
dc.date.accessioned2007-01-03T08:06:07Z
dc.date.available2007-01-03T08:06:07Z
dc.date.issued2012
dc.description2012 Spring.
dc.descriptionIncludes bibliographical references.
dc.description.abstractThis thesis set out to achieve two major objectives, with a third objective added at the end. The first was the update and analysis of the zero-inflated negative binomial (ZINB) model used by Zahran et al. (2008) in regards to its validity and robustness as a predictor of the count of solar using households in a county. The second objective was to use the model to provide an empirical measure of the effect financial and regulatory incentives have on the count of solar using households. The final objective was to explore and explain an unexpected decrease in the count of solar using households. This was done by using a ZINB regression to model the number of occupied housing units that use solar heating at the county level over the period from 2000 to 2009. In addition to analyzing the effects of the explanatory variables, geographic information systems (GIS) modeling was used to provide geographic mapping of the distribution of occupied housing units that use solar heating. The results indicate that Zahran et al.'s (2008) model is a robust and accurate predictor of the count of solar using households. Financial incentives were found to have an insignificant impact on the count of solar-using households, while regulatory incentives decreased the odds of a zero count in a county, but also decreased the expected count. A correlation was found between densely populated counties and the decrease in the count of solar using households.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierKerschen_colostate_0053N_11070.pdf
dc.identifierETDF2012500057ECON
dc.identifier.urihttp://hdl.handle.net/10217/65327
dc.languageEnglish
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019 - CSU Theses and Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subjectGIS
dc.subjectzero-inflated negative binomial
dc.subjectsolar heating
dc.subjecthousehold solar energy use
dc.titleCounty-level analysis of residential solar adoption in the United States, A
dc.typeText
dcterms.rights.dplaThe copyright and related rights status of this Item has not been evaluated (https://rightsstatements.org/vocab/CNE/1.0/). Please refer to the organization that has made the Item available for more information.
thesis.degree.disciplineEconomics
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts (M.A.)


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