In 2012, Governor Kasich instituted a call-to-action, "Campus leaders throughout Ohio must work together to rethink how the state allocates its investment in our public higher educational facilities." (Ohio Higher Education Capital Funding Commission, 2016). The intent of Governor Kasich was to drive more equitable outcomes and opportunities in higher education, including capital allocation (2016). However, despite the changes in processes over time, there continues to be disproportion in allocation of capital funding (Maiden & Stearns, 2007; Manns, 2004; Tandberg 2010). A deeper understanding of the historical and current trends of capital allocation to post-secondary public institutions in Ohio is needed to increase awareness of both the favorable and unfavorable aspects of the State's funding processes. The findings of this study will inform policy makers, university administrators, and community stakeholders of the past and current status of capital allocation to public post-secondary education and may allow enhancement of the decision making processes and choice of viable metrics for computing allocation of funds. Additionally, the results of this proposed study may be utilized by higher education administrators and community stakeholders to assist in predicting a particular higher education institutions future capital allocations that may assist them with long term capital planning. The purpose of this quantitative, cross-sectional, historical study is to determine the basis of capital allocation among Ohio higher education institutions per FTE (as per the reporting precedent set in historical Board of Regents reports and research by Johnson (2012)) as it relates to (1) campus condition, (2) school type (2 year vs. 4 year), (3) county population, (4) party of the governor, and (5) party of the legislative majority. A 30-year period from 1988 through 2018 will be analyzed. The research questions will be investigated with an ordinary least squares (OLS) fixed-effects regression model for cross-sectional panel data. STATA v.14 software will be used with the "XT" command for analysis of the model. A 0.05 level of significance will be set for the analysis. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com.bibliotheek.ehb.be/en-US/products/dissertations/individuals.shtml.]