Research on Indicator System of Regional Eco-efficiency: A Case Study of Chengyang District

Abstract

Eco-efficiency is a valuable tool for managing and solving issues involving resource consumption and pollution emission in current production processes. Despite the popularity of the term “eco-efficiency” in business, limited attention has been paid to measuring and reporting regional eco-efficiency for local government policy makers. Based on the concept and method of eco-efficiency, an indicator system of regional eco-efficiency is established in this study. The indicator system comprises 22 indicators, which are divided in to three categories including socio-economic development, resources consumption, environmental pressure. As a promising statistical technique, principle component analysis is used to set the weight of indicators which attempts to calculate the eco-efficiency indices of Qingdao's Chengyang District. The results show that the eco-efficiency of Chengyang District has clearly improved 35.1% with small fluctuation from 1995 to 2003. Socio-economic development index and resources consumption index also represent obvious increasing trends. The correlation coefficient between soci-economic development index and resources consumption index is 0.979, which means the social progress and economic growth of Chengyang District depend on an extravagant consumption of resources. The environmental pressure index in- creased slowly before 1997 and declined gradually after 1997, due to more attention being paid to environmental protection by local government in recent years. Chengyang District still keeps the traditional economic development mode with a high consumption and high production, so the emphases of future development should put on improving the improving the efficient use of natural resources and promoting environmental management sustainability. The results show that the indicators system of regional eco-efficiency is a promising method to quantitatively evaluate resources and environmental efficiency and provide an effective decision-making support for local governments.