| The urban land price is the language and the integrated value of enviroment and functions of the ciy. It is the value of the unit land area, and is an inportant economic indicator of one country. In the end of the last century, the economy achieved a sustained overall upsurge and the urbanization realized great-leap-forward development in China. It created huge demand for land. The continuous rise in the urban land price caused the concern of social public, formed a research climax of the land price in economics in China, and propeled the thorough research of the Land Economics.The urban land price includs the price of commercial land, residential land and industrial land. Urban lands have stationarity, immovability, severability and regionality, so the factors affecting urban land price are different according to the difference ecological niche and land use. As the compound value of city environment and functions, land price is influenced by many complex factors. To explore the formation mechanism of the land price in China, a quantitative model was construed to test the land price elasticity of ecosystem factors to the five dimensions by using the data of land prices in provincial capitals and their determinants during 2001-2004 years. This research was based on theories on ecology, economics, land economics and econometrics, as well as literatures on land price.The paper try to explore the relationship of the ecological factor and the land price, be helpful for the research of the Urban Ecology and the Land Economics, and provide the reference basis for the strategic decision in government and industry.Conclusions of this study are as follows:1) the land price elasticity of ecosystem structure factors(1) Natural ecosystems had a strong impact to the price of commercial land, and a less strong impact to that of housing land. In the" location factors-commercial land price" model, when the level of location ecology increased by 1%, prices of commercial land increased by 0.87%.In the" location factors-housing land price" model, when the level of location ecology increased by 1%, prices of housing land increased by 0.70%.It indicated that the better of the level of location ecology, the higher of the land prices will be. That is, the level of location ecology was positively correlated with the land prices.(2) While the population greatly affected the price of commercial and residential land, it had no obvious effect on the price of industrial land. The study showed that when the population increased by 1%, prices of commercial and housing land increased by 0.33%and 0.31%respectively. It indicated that the increase in urban population resulted in increased demand for land, which led to the rise in land prices.(3)While the effects of economic ecosystem on commercial land prices showed the following subsequence (from great to little):GDP, education expenditure, FDI and wage levels; the ordination of that to housing land price was:education expenditure, GDP, FDI and wages level. However, no effect was found between economic factors and industrial land price, suggesting that before 2004 the price of industrial land violated the law of economy.(4)Social-ecological systems had a significant impact on land prices. In the model concerning the effects of government behaviors on commercial land price, the following subsequence (from great to little) was reported:house tax, GDP, farmland use tax, urban land tax, land area ready to develop and Land VAT. In "Government behaviors-residential land price" model, the ordination showed as following:house tax> GDP> urban land tax> farmland use tax> land area ready to develop. And in the model testing the relationship between government behaviorals and industrial land price, the effect showed as following:house tax> farmland use tax> urban land tax>Land VAT.(5)Overall, location factors greatly impacted the land price. The study reported the following subsequence of the effects of location on commercial price (from great to little):the number of medical workers, education expenditure, house tax, the number of teachers, urban gas-density, and science expenditure. As far as the effect of location on residential land price was concerned, the subsequence was:house tax, the number of teachers, the number of medical workers, education expenditure, urban gas-density. In the "location-industrial land price" model, the correlation coefficient was 0.5343, which indicated that there was a relatively strong correlation between the location and industrial land price. However, among the 6 dimensions of the variable of location, only two (house tax and urban gas-density) were credible, which suggested the validation of the disorder of China's industrial land price. 2) The effect of ecosystem on the price of industrial, commercial, house land and equilibrium price(1) In the" ecological factors-commercial land price" model, the effects of the determinants on land prices indicated the following subsequence(from great to little): index of reasonable economic structure, climate resources index, population development index, output index of S& T, and soil erosion index., While the" ecological factors-housing land price" model indicated the ordination as:population development index> climate resources index> output index of S& T> soil erosion index> index of reasonable economic structure,the "natural ecological factors residential land price" model presented kind of chaos.(2)on the land supply price(LSP)Among those determinants on commercial LSP, the economic structure had the greatest impact, and climate resources had less greater effect, followed by the purchased land area. And similar correlation was reported in the determinants and house LSP.(3)on the land demand price(LDP)Among those determinants on commercial LDP, the eco-social adjustment index had the greatest impact, followed by the population development index, and GDP had least effect. However, in the model of house LDP, the effect of the population development index ranked No.1, followed by eco-social adjustment index, and GDP had the least impact.
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