| In recent years,with the continuous deepening of land market reform,land transfersystem has been perfected.The land price begins to reflect the market supply and demand relationship,and gradually returns to its factor value itself,which improves the allocation efficiency.At the same time,the proposal of "China made 2025" and the 19 major reports of the party emphasize that the economic system reform must focus on perfecting the property right system and the market allocation of factors.This means perfecting the market development of land factor allocation and promoting the optimization and upgrading of the industrial structure is an important way to realize the healthy development of the economy.Based on the above reality and policy background,this paper collects more than 300,000 trade information from Land market online and calculates the actual market price of industrial land according to micro-transaction data.The paper further constructs the index of industrial structure optimization,and empirically tests the influence of industrial land price on industrial structure under the market allocation of land factors.First of all,this paper starts from the theory and constructs the theoretical model to analyze the industrial land allocation market development,the industrial land price reasonable rise the driving mechanism that the industrial structure upgrades,and to the Industrial structure optimization promotion effect.After that,the empirical part takes the data of 30 provinces,autonomous regions and municipalities in 2008-2015 except Tibet and Hong Kong,Macao and Taiwan as samples to examine whether the industrial land allocation marketization has a positive impact on industrial structure while improving the efficiency of resource utilization.In view of the lag of the land factor from input to output,this paper introduces the time lag effect of the real transaction price of industrial land.In addition,the article further constructs the intersection of the actual transaction price and the regional virtual variable of the industrial land,and examines the regional difference of the influence of the market price on the industrial structure optimization.Finally,taking into account the relocation of enterprises and other acts,the enterprises that are blocked by high land price will usually choose to invest in the surrounding areas where the land cost is relatively low,so that the land price changes in a certain area will often ripple around the surrounding area,leading to the rise of land price in neighboring provinces and cities,which will also have an impact on thelocal industrial structure.Based on this,this paper uses the space panel model to test the spatial spillover effect of the market price of land factor on the adjustment of industrial structure,and selects the different spatial weight matrices to make the results more credible.Based on theoretical analysis and empirical test,this article obtains the main conclusion:the Land market development is more perfect,the land price level is higher,the industrial structure level is also higher,and this influence has a certain degree of lag;among them,the market-oriented land price has the most obvious improvement to the labor structure optimization;and the promotion in the central region is stronger than The results of spatial analysis show that the market price of land factor has a significant positive effect on the optimization of industrial structure in the surrounding area,and the promotion of the optimization of labor force structure in neighboring areas is most obvious.Accordingly,this paper puts forward the following policy suggestions: we should continue to deepen the reform of land market and implement differentiated industrial land market development policies according to the specific conditions of regional industrial industries.Further perfecting the mechanism of industrial land exchange market,we should also increase the development of High-tech industry,prevent the industrial land price rise too quickly to the industrial structure adjustment produced adverse effects. |