Night light brightness value by remote sensing has been important data source for urban context studies owning to be objective, real time, low cost and connection with spatial data easily. Housing is a critical issue for urban development. House vacancy can be calculated by two indicators. One of which is using houses, and another one is total houses. Night light data and house price will be employed to do the calculation of house vacancy. The authors of this paper would like to compare data of night light brightness value with DMSP-OLS and house price with statistic report within fifty cities in China, as well as analyze the pops issues of real estate industry among these cities with remote sensing and GIS techniques to get boundaries and the brightness value of them, While correlation and regression analysis will be employed to conducted the result. The conclusion like that: there are big gaps of using house and owing house. Efficient policy for solving housing problem depends on the decisions of local authorities of cities.
PurposeThe purpose of this paper is to set up a growth model for a world city, in order to determine the roles of government and enterprises. With the model, the authors of this paper want to test the efficiencies between governmental and enterprise investment for the experience of Beijing.Design/methodology/approachThe paper proves the contributions of enterprise and governmental investment for a world city by three assumptions. It then sets up a growth model for a world city by taking the variable of governmental investment instead of the labor variable in the Solow Growth Model. With C‐D function, the paper sets up an empirical growth model of the world city of Beijing by ordinary least squares (OLS) regression.FindingsResults of OLS show that the elasticity of enterprises operating surplus to world city growth is bigger than the one of governmental expenditure to world city growth, which indicates that the investment ability of the private sector has more efficient effectiveness on a world city than governmental investment. Meanwhile, technological progress also has weak effectiveness for world city growth from the regression of C‐D function.Practical implicationsWhen the public and private sectors were taken into account for world city growth, the role of government investment is constructing a fair environment for enterprises' competition and encouraging innovation in the private sector, as well as enhancing efficient policy for innovation application in the private sector.Originality/valueThe paper sets up a growth model with the variables of private and public factors taking the place of the variable of labor in the Solow Growth Model with government investment. The model can be adopted to explain the dynamics of world city growth in a transition economy.
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