| Summary: | 碩士 === 國立交通大學 === 經營管理研究所 === 96 === This research applies Fried at el. (1999) who brings up four-stage data envelopment analysis (DEA). Research objects are fifty-three high-tech industrial development zones in mainland China the sample period is from 2004 to 2006. This study uses five input variables, including the number of firms, number of employees, the percentage of employees graduate from university to total employees, R&D expenditure and the percentage of S&T personnel to total employees. And three output variables are technical income, products income and sales income. The high-tech industrial development zones are clustered into three locations and six environmental variables are introduced to analyze the effect. All nominal variables have been transformed into real variables at the 2004 price level by GDP deflators. The environmental variables are used in Tobit regressions to explain input slacks obtained in the first-stage DEA, including the location, railroad intensity, road intensity, fixed-asset investment, industrial output value, financial investment of science and technology. Environment-adjusted efficiency is computed in the fourth-stage by using the adjusted inputs. The major findings are as follows: (1) Eleven industrial zones continuously operate efficiently during 2004-2006. (2) Railroad density, fixed-asset investment and financial investment of science and technology have significantly positive impacts on some input slacks. (3) Industrial zones located in east China, industrial output values, and the college and educational level rate significantly reduce some input slacks. (4) After adjusting inputs to exclude influences of environment variables, only three industrial zones have the best technical efficiency and the average technical efficiency decreases.
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