An Analysis On Price Differentials Of Industrial Land Between Cities In China

With the accelerating process of China's industrialization, especially in 2006, the state of the industrial land market significantly strengthen the regulation and control, management is more reasonable, market-oriented trend of industrial land is the beginning. In August 2006 the State Council issued the "Regulation on the strengthening of land inform the relevant issues" (National Development (2006) 31), the notice clearly pointed out: the national level under the land, regional land-use policy, to develop and publish uniform throughout industrial land to sell the lowest standards of industrial land must be taken to the tender way,the auction,listing to sell, the sale price shall not be less than the lowest published standards. April 2007, Land Department, the Ministry of Supervision jointly issued a circular calling around unswervingly push forward the industrial land transfer bills hanging shot and seriously deal with those bills to avoid hanging pictures and other illegal activities.In the positive economic and political situation, the demand for industrial land growing,and the price of industrial land from the original "deformity" of the premium into the market, study on price differences of industrial land are more and more people's attention, so the impact of industrial land prices have confounding factors, for the urban land management is very necessary. For this reason we carried out a research on this article.The article were divided into five sections, the first part of the Introduction, Part II is the basic theory and literature review, The third part is the analysis of land characteristics, the fourth part is to analyze the impact of industrial premium method factors, the fifth part is the conclusion. The preamble of this article, describes the background of writing, research methods, data sources, the basic structure, and the scope of the article the study.The first part is the basic theory and literature review. I first briefly introduced the related concepts of industrial land, and the basis of the price mechanism theory, Focuses on the theory of equilibrium price and Non-Walrasian Equilibrium theory, and then on the influencing factors of urban land prices at home and abroad were reviewed literature.The third part introduces the characteristics of land, introduced in recent years and the situation of industrial land. First of all, through the charts, analysis and comparison of the 2000-2008 national land price changes in industry, in which industrial land biggest changes in 2007. And then, the 24 major cities will be divided into 6 groups, in order to comparative analysis of the inter-city differences in industrial land prices.The fourth section describes the way the impact of industrial land, and the factors which is the focus of this article. Articles for different ways to analyze the land for industrial land prices, reached an agreement to sell is the least efficient way of industrial land to sell, auction and listing of the most efficient way to sell, tender center. Secondly, study on the expected impact on the industrial land price and analysis of various factors on the expected impact. Then, drawing on domestic and foreign scholars in research methodology and experience, combined with the industrial land market in China's actual conditions, to select the level of urban industrial real estate prices the main factors, and quantify these factors, panel data model to build the basic method and general procedures, the use of 24 large and medium-sized cities in the national sample data, the establishment of China's urban industrial land price level panel data model of urban land prices to the level of influencing factors were studied. Land for industrial use factor analyses of the impact of the differences come to the conclusions:(1)To both the GDP, fixed asset investment, the end of the balance of loans from financial institutions, the impact of population density is the difference between the price of industrial land and industrial land prices have a significant relationship. (2) To both the GDP, fixed asset investment, the end of the balance of loans from financial institutions, a population density of the impact of industrial land have large difference. Which in effect have a positive are GDP, and each a unit of GDP, industrial land prices will increase 0.035568 units; the impact effect of investment in fixed assets are: investment in fixed assets for each additional billion, an increase of industrial land will be able to 0.0487 Yuan / m2; the end of the balance of loans from financial institutions on the impact of the industrial land price effect is positive: the end of the balance of loans from financial institutions 16.88129 elasticity is that the end of the balance of loans from financial institutions not a 1% increase in ,the growth of industrial land will be 16.88129%; population density inverse proportion with the positive relationship between industrial land, although the situation we have in contradiction, but we also analyzed the possibility of its existence: the population density is the elasticity of -0.078674, a population density additional unit ,the industrial land will be a corresponding 0.078674 units lower.For different cities and then the differences of location, the analysis of each city: Shenyang, Changchun, Harbin, investment in fixed assets by a greater impact; Yinchuan, Lanzhou, Xi'an, Taiyuan and the end of both GDP and the balance of loans from financial institutions other factors than effective; Beijing, Tianjin, Shijiazhuang, Qingdao, industrial land prices are subject to the impact of GDP is very obvious; Wuhan, Nanchang, Changsha, Zhengzhou city's industrial land prices in four levels of investment in fixed assets by the end of the year the balance of loans from financial institutions are significantly affected; Chongqing, Chengdu, Guiyang, Kunming, investment in fixed assets by the end of the year financial institutions significantly affected the balance of loans; Nanjing, Hangzhou, Fuzhou, Haikou, both and GDP population density are more obvious, and come to the impact of factors on the effects of the city.