Thesis (Ph. D.)--University of Hong Kong, 2008. / Also available online.

Thesis (Ph. D.)--Northwestern University, 2001. / Includes bibliographical references (leaves 217-235).

Thesis (Ph. D.)--University of California, Berkeley, 1995. / Includes bibliographical references (leaves 196-211).

Thesis (Ph. D.)--Ohio State University, 2005. / Title from first page of PDF file. Document formatted into pages; contains xii, 106 p.; also includes graphics (some col.) Includes bibliographical references (p. 102-106). Available online via OhioLINK's ETD Center

Thesis (Ph. D.)--University of California, San Diego, 2006. / Title from first page of PDF file (viewed February 28, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.

Thesis (M. Sc.)--University of Hong Kong, 2006.

This research analyzes the long-lived public good/bad. The public good/bad is defined to ‘live long’ in the sense that the external effects of an action persist beyond the decision horizon of the actor. Thus, a very simple overlapping generations economy is modeled in which the agent lives for two periods while the public durable good/bad lasts indefinitely with deterioration/amelioration. Pareto optimality, the Lindahl equilibrium, and the theory of voluntary provision for this overlapping generations model are contrasted with those of the atemporal model. / Ph. D.

published_or_final_version / Housing Management / Master / Master of Housing Management

The objective of this study was to assess the affect of economic performance, relative performance and corporate structure on the frequency of corporate crime. The data utilized in this study were obtained from the Inter-university Consortium for Political and Social Research and were originally collected by Marshall Clinard and Peter Yeager (1979). In addition to this data source, disaggregated economic data were collected in order to assess the volatility of economic performance for the corporations in the study. The collected data were then merged with the existing data set using the corporate identification numbers provided with an agreement of anonymity. Pearsons's r was used to assess the zero-order relationships among all the variables in the analysis. A series of T-tests were also performed to examine whether offending corporations had significantly lower economic performance measures than did their non-offending counterparts. Finally, multiple regression techniques were utilized to assess the predictive capability of economic performance and corporate structure on corporate offending. The bivariate analysis showed little correlation among the economic performance variables and the total and total serious violation categories. Concentration and diversification were significantly correlated with the violation categories. Diversification was also found to be highly correlated in a negative direction with all of the volatility measures. Similar results were found when analyzing the relative performance measures. When comparing the mean economic scores of offending and non-offending corporations, mean performance was generally lower among offending corporations. Offending corporations, however, were shown to experience less economic volatility than their non-offending counterparts. With respect to relative performance, offending corporations were found to have lower mean economic performance measures than non-offending firms. However, offenders were found to be less volatile relative to their industry than non-offenders. The regression analysis revealed a positive relationship with the trend of profit and a negative relationship with volatility of profit, both contradict theoretical expectations. In addition, the structural variables were found to be positively related to corporate violations, but they had little mediational effect with respect to the economic variables, as hypothesized. Based on the findings of this study, the limitations and implication for an economic explanation of corporate offending are discussed. / M.S.

published_or_final_version / abstract / Real Estate and Construction / Doctoral / Doctor of Philosophy