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Governmental-Owner Power Imbalance and PrivatizationXu, Kehan 2010 August 1900 (has links)
Privatization is defined as the sale of state-owned assets by governmental agencies to private investors (e.g., Megginson, Nash, Netter, and Poulsen, 2004; Villalonga, 2000). Research on privatization has focused on privatization techniques (e.g., share issue privatization or voucher privatization), social welfare, governmental commitments to economic development, and varieties of outcomes of privatizations. Most prior studies from the financial economics perspective take privatization as a natural research context to examine the function of capital markets, the impact of national institutional settings, and the differences between partial privatization and initial public offerings. Very little research, however, has examined the determinants of privatization from an organizational perspective.
This dissertation proposes that privatization decisions of state-owned enterprises (SOEs) are influenced by different interests in governmental agencies. Using the resource dependence theory, I studied the power relationships of SOEs and their governmental owners. Four panel databases of 206 pharmaceutical firms across eight years in China were combined to answer the research question of this dissertation: What is the role of power imbalance between different governmental owners in the privatization of an SOE? The results suggest that organizational effectiveness and efficiency of an SOE increase the likelihood of its privatization. Results also show that provincial governmental owners are more likely to privatize SOEs if they can successfully attract foreign direct investment projects. Furthermore, the likelihood of privatization increases with the power asymmetry between the provincial government and the central government but decreases with the degree of the defense mechanism used by SOEs.
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Poliheuristic Theory and Alliance Dependence: Understanding Military CoalitionsPark, Joon Guan 2010 May 1900 (has links)
This dissertation examines an increasingly common phenomenon in the post-Cold War context, the military coalition. At the heart of the dissertation is thus the question: what explains political leaders’ participation and burden-sharing decisions on military coalitions? In tackling the question, two distinct lines of research were brought together; the one based on alliances, the other based on foreign policy decision making. Based on the two lines of research, an explanatory framework was developed that combined the insights of alliance dependence thesis and poliheuristic theory.
A set of hypotheses was derived and tested, utilizing a multimethod approach: statistical, case study, and experimental analyses.
Overall, the results of applying the multimethod approach is suggestive of the strength of the poliheuristic theory, with a supporting role of alliance dependence thesis, in understanding participation and burden-sharing decisions on military coalitions. Moreover, though in large part the second Iraq War (2003 -) was used as the reference in much of the dissertation, an implicit underlying claim of the current research is that the findings may be extended to any broad context wherein the development of a military coalition may be a possibility.
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Community Hospitals' Vertical Integration into Nursing Facilities: A Resource Dependence PerspectiveLo, Jen-Pei 28 August 2004 (has links)
Research Objective
The purpose of this study is to profile market factors and organizational characteristics associated with community hospitals¡¦ vertical integration into a nursing facility through the lens of resource dependence.
Data Sources
Data for this study were drawn from three sources: the 2002 secondary data collected by Taiwan Community Hospital Association (TCHA) on a regular yearly basis; the 2001 secondary data compiled by Taiwan Association of Long-Term Care Professionals (TALTCP); and the 2002 area-based population data gathered by Department of Budget, Accounting, and Statistics (DOBAS) in local governments respectively.
Study Design
This study is a one-year cross-sectional design with community hospitals as the unit of analysis. A sample of 248 community hospitals was the focus of this study. Since the dependent variable is dichotomous, the logistic procedure was used to fit the regression. The analysis was performed using the statistics software, SPSS 10.0.
Findings
A higher ratio of the elderly, a high degree of competition, and the provision of dialysis and home care services spur community hospitals on to vertical integration into a nursing facility. Occupancy rate, the rehabilitative service, respiratory care service, high technology, the ratio of MDs to staffed beds, as well as the ratio of RNs and LPNs to staffed beds bear no reference to community hospitals¡¦ vertically integrating a nursing facility.
Conclusion
Not all community hospitals are equally good candidates for stepping into the avenue to nursing facility. Given the environmental factors, community hospitals situated in highly competitive district areas with a higher ratio of the elderly are more likely to vertically integrate a nursing facility. In terms of organizational factors, the provisions of dialysis service and home care service have a significant relationship with the likelihood of vertical integration.
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PRO-ADDICTIVE AND ANTI-ADDICTIVE FACTORS FOR DRUG DEPENDENCEYAMADA, KIYOFUMI 08 1900 (has links)
No description available.
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NONESun, Keng-cheng 27 July 2001 (has links)
NONE
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Coefficient of intrinsic dependence: a new measure of associationLiu, Li-yu Daisy 29 August 2005 (has links)
To detect dependence among variables is an essential task in many scientific
investigations. In this study we propose a new measure of association, the coefficient
of intrinsic dependence (CID), which takes value in [0,1] and faithfully reflects the full
range of dependence for two random variables. The CID is free of distributional and
functional assumptions. It can be easily implemented and extended to multivariate
situations.
Traditionally, the correlation coefficient is the preferred measure of association.
However, it's effectiveness is considerably compromised when the random variables
are not normally distributed. Besides, the interpretation of the correlation coefficient
is difficult when the data are categorical. By contrast, the CID is free of these problems.
In our simulation studies, we find that the ability of the CID in differentiating
different levels of dependence remains robust across different data types (categorical
or continuous) and model features (linear or curvilinear). Also, the CID is particularly
effective when the dependence is strong, making it a powerful tool for variable
selection.
As an illustration, the CID is applied to variable selection in two aspects: classification
and prediction. The analysis of actual data from a study of breast cancer gene expression
is included. For the classification problem, we identify a pair of genes that best
classify a patient's prognosis signature, and for the prediction problem, we identify a
pair of genes that best relates to the expression of a specific gene.
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Factors Associated with Strategic Alliance among Hemodialysis Centers: A Fusion of Institutional and Resource Dependence ViewYing Lo, Ying 06 March 2009 (has links)
The research has applied both Resource Dependence Theory and Institutional Theory to analyze the organization and the market factors that will influence the hemodialysis centers in adopting a strategic alliance, contracting with and choosing the number of strategic partners. The followings have been examined and analyzed:
1) the current trend of hemodialysis centers¡¦ strategic alliance, including variety of alliance partners, number of strategic alliance, and the degree of an alliance.
2) the factors that will cause hemodialysis centers to adopt a strategic alliance.
3) the factors that will affect the hemodialysis centers to contract with their strategic alliance partners.
4) the factors that influence centers¡¦ choosing alliance partner(s).
Questionnaires and collection of secondary dada were conducted. The empirical analysis of the 219 valid questionnaires shows that hemodialysis centers¡¦ strategic alliance decision is influenced by coerce, normativeness and mimicry caused more by institutional environment than by resource environment. However, after an alliance has been adopted, the resource environment has more influence than institutional environment in deciding whether to contract with strategic partners. The research found the number of strategic alliance partners is not influenced by the resource or institutional environment factors.
This research found both theories play different roles at the different stages of adopting strategic alliance and contracting with partners. The finding not only can help examine the theory framework but also be quite useful to insurance policy decision making and to centers¡¦ daily operation.
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Processing and Properties of Ultrathin Perovskite ManganitesJohnsson, Peter January 2003 (has links)
No description available.
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An examination of the relationships between field dependence reasoning abilities and the independent personality /Ng, Wing-cheung, William. January 1979 (has links)
Thesis--M. Phil., University of Hong Kong, 1980.
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Generalizing the multivariate normality assumption in the simulation of dependencies in transportation systemsNg, Man Wo 22 November 2010 (has links)
By far the most popular method to account for dependencies in the transportation
network analysis literature is the use of the multivariate normal (MVN) distribution.
While in certain cases there is some theoretical underpinning for the MVN assumption, in
others there is none. This can lead to misleading results: results do not only depend on
whether dependence is modeled, but also how dependence is modeled. When assuming
the MVN distribution, one is limiting oneself to a specific set of dependency structures,
which can substantially limit validity of results. In this report an existing, more flexible,
correlation-based approach (where just marginal distributions and their correlations are
specified) is proposed, and it is demonstrated that, in simulation studies, such an
approach is a generalization of the MVN assumption. The need for such generalization is
particularly critical in the transportation network modeling literature, where oftentimes there exists no or insufficient data to estimate probability distributions, so that sensitivity
analyses assuming different dependence structures could be extremely valuable.
However, the proposed method has its own drawbacks. For example, it is again not able
to exhaust all possible dependence forms and it relies on some not-so-known properties
of the correlation coefficient. / text
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