Based On Panel Data Model Of Urban Land Price Level Factors Influencing

With the development of society and economy, the transaction in land market becomes more and more active, and the urban land price level which plays an important role in the allocation of resources also changes quickly. To realize the influencing factors of the urban land price level is important for the government to manage the real estate market and for the company to invest. However, due to the immature of the land market and the lack of the land transaction information, the research of urban land price level is still in the starting phase up to now.Based on the domestic and foreign researches of factors influencing urban land price, and considering the actual situation of land market in China, this thesis classifies the factors influencing the urban land price. The panel data model has been obtained following the basic method and general procedure of the domestic and foreign scholars. Then the panel data model of residential land price level and the panel data model of commercial land price level are set up differently using the random effect model of panel data model. After collecting samples from the 27 large and middle cities in China, the empirical study of the urban land price level and its influencing factors are followed.The main conclusions and new ideas of this thesis are as follows:Firstly, classifying and quantifying the influencing factors of urban land price level. The factors influencing the urban residential land price level include land resource, the cost of land development, local government's policy about land supply, economic, population, life condition, infrastructure and local government's policy about land demand. Besides the infuencing factors above, the factors influencing the urban commercial land price level include the development of commercial and the structure of industry. Considering the reality of land market, these influencing factors are adopted and quantified in this thesis, providing the base for the construction of land price level panel data model.Secondly, applying panel data model to empirical study of urban land price level. Panel data model which synthetize time-series and cross-sectional dimensions, is more suitable for the analysis of land market in China whose time-series is short and the difference among the cities is large. Up to now, the panel data model is not widely used by the domestic scholars compared with the foreign sholars. After collecting thedata of land market from 27 large and middle cities in China, the panel data model is applied to empirical study of the urban land price level.Thirdly, analyzing the difference of influencing factors between the residential land level and the commercial land level. The domestic scholars usually take the residential land as sample during their researches, but the commercial land is seldom used. This thesis, conducting panel data model of residential land price level and of commercial land price level, analyzes the difference of influencing factors between the two land price level.Since applying panel data model to empirical study of realizing the influencing factors in urban land price level is not common, this thesis is an exploration in this area. However, there is still some localization in this thesis.The following research could be conducted much fitter.