The authors adopt panel data from municipal-level cities in China to examine the impacts of holding mega-events on city investment, debt financing and land development. The results indicate that the inhibit effects of holding internationally-influential mega-events on city investment is greater than its promote effects because local governments are devoted to improving city environment in order to enhance city image, so that the decrease of investment resulting from their restrictions on polluting enterprises and high-pollution projects is greater than the increase of investment which mega-events attract. In addition, internationally-influential mega-events and nationally-influential mega-events have significantly positive effects on issuing Quasi-municipal Bond and mortgaging land, helping to break the local government fiscal restraint. Regionally-influential mega-events have significantly positive effects on attracting city investment. Local governments may concern more about city investment and economic development than city image.

This paper focuses on the influence external economies of scale brought by industrial agglomeration and internal economies of scale brought by industrial organization have on pollution emission intensity. This research takes SO₂, soot, polluted water as the examples and two digits manufacturing industrial divisions as the research subjects. Through spatial distribution analysis and penal data econometric analysis during the time from 2005 to 2009, the authors find that the relationship between gini and pollution intensity is positive, state owned and group owned enterprises ratios are negative related to pollution intensity of SO₂ and soot, while private and foreign investment enterprises ratios are positive related to pollution intensity. The result shows that industrial pollution is influenced by the trend of marketization, which suggests that the authority may improve the environmental regulations systems and the supervision power, and local government should improve the pollution dissolving facilities’ effectiveness and pollution control efforts within industrial clusters.

This paper studies the spatial distribution of rural residential land of the town of Yihe, Shilong and Runxi in Chongqing, and optimizes the spatial pattern based upon their urban-rural linkages. According to the intensity of urban-rural linkage derived from gravity model, the three towns are categorized into three types of rural areas, namely industrial expansion area at urban fringe, ecological conservation districts in the suburbs and agricultural districts in remote mountainous areas. The authors construct an evaluation system, consisting of general index and featured index. Every plaque of rural residential land is classified as developing, adjusting or removing according to the result of evaluation. Three modes of optimization are concluded from the case study. The proposed method of spatial optimization focuses on the diversity of rural development and deals with challenges for rural areas in contemporary China. It contributes to a balanced urban-rural development and provides scientific evidence for the New-Type urbanization plan.