This study primarily aims at examining efficiency conditions at general industrial complex (GIC) within Chungcheong Region. Applying DEA (Data Envelopment Analysis) techniques, it simultaneously carries out DEA-WINDOW and MPI (Malmquist Production Growth Index) analyses towards 22 GIC sites over five years from the first quarter of 2008 to the first quarter of 2012. Lastly, applying Tobit regression models, it tries to find out key variables which would exert significant impact on the GIC efficiency questions.
The followings are major findings: Firstly, judging from TE (Technical efficiency) indicators, 22 GIC sites within Chungcheong Region are confronted with relatively lower technical efficiency problems, whose average is 0.5979. PTE (Pure technical efficiency) indicators yield similar patterns, whose average is 0.6876. Secondly, 5 among 22 GIC sites present 1 (100%) in SE (Scale efficiency) value, which imply efficient operation of general industrial complex. Benefit-to-scale in 5 GIC sites shows CRS (Constant return to scale) stream. In contrast, DRS (Decreasing return to scale) and IRS (Increasing return to scale) patterns are also recorded in 13 and 5 GIC sites, respectively. Thirdly, concerned with management types, this study observes that professional management rather than self-management by mayor or county chief would produce higher efficient value. The best result comes from the mid-sized general industrial complex. Fourthly, judging from DEA-WINDOW analyses over five years, both TE (Technical efficiency) and PTE (Pure technical efficiency) keep lower average: The increase rate of MPI (Malmquist Production Growth Index) is 1.16% per year. Lastly, depending on Tobit regression models, this study finds that GIC efficient indicators would present positive relationships with project size, business units, and production volume. Nonetheless, the opposite is also true. That is, there exist negative relationships between GIC efficient indicators and lot size or number of employees.