省际城市化效率与经济增长关系实证研究  

An empirical study on inter-provincial urbanization efficiency and economic growth in China

作　　者：翟爱梅[1] 景显恩 

机构地区：[1]中山大学国际商学院

出　　处：《城市问题》2014年第8期8-13,30,共7页Urban Problems

基　　金：中央高校基本科研业务费专项资金项目(13wkpy22)

摘　　要：基于2000-2011年间的中国省际面板数据,运用数据包络分析方法中的BCC模型,将资本存量、劳动力数量、财政支出与区位条件作为投入要素,将城市化水平作为产出要素,测算各省区的城市化效率,并探讨其与区域经济增长的相关性。研究结果表明:我国西部的城市化效率较高,东部地区次高,中部地区城市化效率最低;我国各省份城市化的技术效率较低,而规模效率较高;城市化效率对区域经济增长有很强的正向效应,其中东西部地区城市化效率对经济的拉动力较强,而中部地区相对较弱。因此,中国各省区应努力发挥城市化的集聚效应与辐射效应,通过提高城市化效率来促进经济发展。In the process of exploring of natural law, causality always plays very important role. With analysis of time series and spatial data retrieving, this essay quantifies the gener al qualitative conclusion of ＂urban sprawl lead to urban heat island effect＂. It shows that, in the aspect of time, urban heat island effect and urban sprawl has a long - term equilibrium relationship but has a short - term fluctuation, and the long - term elasticity is greater than short - term elasticity after the analyses with co - integration test and error correction model. It means that accumulation effect of urban heat island effect is apparent. And urban sprawl is the Granger cause of urban heat island effect in short - term but not in long - term after a causality test. Combining analysis of impulse response and the characteristic of city construction in China, this essay judges that the dividing point of long - term and short - term is about 4 - 5 years, this phase fit to the five - year plan in China and the growth period of vegetation chose for urban greening.

关 键 词：城市化效率 经济增长 数据包络分析 BCC模型 面板数据 

分 类 号：F299.21[经济管理—国民经济]