• Login
    • Submit
    View Item 
    •   Repository Home
    • UT Electronic Theses and Dissertations
    • UT Electronic Theses and Dissertations
    • View Item
    • Repository Home
    • UT Electronic Theses and Dissertations
    • UT Electronic Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Evaluating and managing congestion in Chinese production

    Icon
    View/Open
    Restricted to EID users (546.4Kb)
    Date
    2003-08
    Author
    Deng, Honghui, 1969-
    Share
     Facebook
     Twitter
     LinkedIn
    Metadata
    Show full item record
    Abstract
    This dissertation is devoted to the analysis of congestion in the context of its uses in Chinese production. Data Envelopment Analysis is the major tool be employed for this purpose. Applications to Chinese industry provide concrete examples of potential uses that can result from the research that will be reported in this dissertation. Congestion is a severe form of inefficiency in which increases in inputs result in decreases in outputs. Western approaches are directed to simply eliminating congestion by reducing inputs but this need not apply in non-western contexts. China, for instance, must accommodate 16,000,000 to 18,000,000 new entrants into its labor force each year. For perspective, we might note that former President Clinton points to the creation of some 10,000,000-12,000,000 new jobs as a major accomplishment during his 8 years as president. Given the need for dealing with this huge influx of labor, the Chinese government seems to be willing to experience some lessening in the output of its industries in exchange for increased employment of labor. In this dissertation we develop methods to identify ways in which the management of congestion can be improved. This makes it possible to reduce the output decreases that would otherwise occur without reducing the labor inputs that are identified as congesting. We thus accommodate the twin objectives. (i) improving the methodologies of DEA and (ii) improving the management of congestion so that the output reductions which would otherwise be experienced are diminished. This leads to further possible ways to deal with congestion and the employment to which it is related. For instance, we show how to further improve the management of congestion by identifying possible tradeoffs between input reductions (or increases) and output increases (or decreases) so that better decisions can be made in coordinating the two. This leads to still further possibilities since input reduction in one company or plant may be traded off with input augmentations in another company or plant in ways that can simultaneously improve both the input and output performances. All of the methods and concepts developed in this dissertation are also tested by actual data in selected Chinese industries with significance of their utilizations.
    Department
    Business Administration
    Description
    text
    Subject
    Production (Economic theory)
    Industrial efficiency--China
    URI
    http://hdl.handle.net/2152/11989
    Collections
    • UT Electronic Theses and Dissertations
    University of Texas at Austin Libraries
    • facebook
    • twitter
    • instagram
    • youtube
    • CONTACT US
    • MAPS & DIRECTIONS
    • JOB OPPORTUNITIES
    • UT Austin Home
    • Emergency Information
    • Site Policies
    • Web Accessibility Policy
    • Web Privacy Policy
    • Adobe Reader
    Subscribe to our NewsletterGive to the Libraries

    © The University of Texas at Austin

    Browse

    Entire RepositoryCommunities & CollectionsDate IssuedAuthorsTitlesSubjectsDepartmentThis CollectionDate IssuedAuthorsTitlesSubjectsDepartment

    My Account

    Login

    Information

    AboutContactPoliciesGetting StartedGlossaryHelpFAQs

    Statistics

    View Usage Statistics
    University of Texas at Austin Libraries
    • facebook
    • twitter
    • instagram
    • youtube
    • CONTACT US
    • MAPS & DIRECTIONS
    • JOB OPPORTUNITIES
    • UT Austin Home
    • Emergency Information
    • Site Policies
    • Web Accessibility Policy
    • Web Privacy Policy
    • Adobe Reader
    Subscribe to our NewsletterGive to the Libraries

    © The University of Texas at Austin