Efficiency Evaluation of Sustainable Development for Cities in China

• Main Authors: Mu-Lin Wang, 王木林
• Other Authors: 胡均立
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/37097623494433066365

碩士 === 國立交通大學 === 經營管理研究所 === 95 === We apply the data envelopment analysis (DEA) approach to compute city efficiency scores with and without environmental factors considered. Observations include forty-four cities in China during the 1998-2003 periods. There are two ouputs (local government income, population) and eight inputs (employment population, foreign investment, local government expenditure, city electricity consumption, sulfur dioxide emissions quantity per square kilometer, industrial wastewater passing rate, environmental noise passing rate,and built-up areas afforestation coverage) in our DEA models. Moreover, DEA generates the target environmental factors for each region in cities in each year, from which the efficient environmental variable-saving target ratios of regions in cities can be computed. All nominal variables are transformed into real variables at the 1998 price level by GDP deflators. Our major findings are as follows: 1. Efficiency scores of big cites such as Beijing and Shanghai will get down after considering environmental factors. 2. Efficiency scores of cities in China were generally improing during the analysis period. 3. Given the environmental factors, the largest cities could not bear any more population inflow; however, middle- and small-sized cities sill could absorb more poluplation inflow. 4. The Mann-Whitny U test shows that the east cities have significantly higher efficiency scores than the central cities and the central cities have significantly higher efficiency scores than the west cities.