Volume 18 Number 2, May – August 2016

THE SPATIAL MECHANISM AND DRIVE MECHANISM STUDY OF CHINESE URBAN EFFICIENCY – BASED ON THE SPATIAL PANEL DATA MODEL

Yuan Xiaoling and Chen Ali

In this article, the urban efficiency factors of 285 Chinese prefecture-level cities in the period from 2003 to 2012 are analyzed by using the spatial econometric model. The result shows that the development of urban efficiency between the cities positively correlates with space. And we conclude that the Industrial Structure, Openness and the Infrastructure can promote the development of such urban efficiency. The Urban Agglomeration Scale, Government Control, Fixed Asset Investment and other factors can inhibit the development of urban efficiency to a certain degree. Therefore, we come to a conclusion that, in the new urbanization construction process, the cities need to achieve cross-regional coordination from the perspective of urban agglomerations and metropolitan development. The efficiency of the city together with the scientific and rational flow of the factors should also be improved.

Volume 17 Number 2, May – August 2015

CHINA’S URBAN EFFICENCY EVALUATION ANALYSIS UNDER THE RESTRICTION OF ENVIRONMENT

Yuan Xiaoling and He Bin

Given the fact that the existing evaluation and analysis of urban efficiency are negligent of external negative effects on the environment in the medium and long term, this paper constructs an SBM – an undesirable model containing an undesirable output, measures the urban efficiency of 285 cities in China at or above the prefecture level during 2003-2012, decomposes it into urban pure technical efficiency and urban scale efficiency and makes a comparative analysis of them separately. The results show that, when the environmental factors are taken into account, the level of urban efficiency in China is low, but is a large room for it to improve. The impact of the decomposition of urban scale efficiency on urban efficiency is continuously enhancing. From a regional perspective, urban pure technical efficiency is the highest in the eastern region, only to be followed by the western region, whereas it is the lowest in the middle region. From the point of view of the scale, urban pure technical efficiency represents a „U-type” change and urban scale efficiency represents an „inverted U” change. Therefore, this paper suggests that in order to improve urban efficiency, we should adopt different urban development policies for cities located in different regions and on different scales.