Study On The Impact Of Regional Factor Mobility On Land Use Efficiency

With the rapid development of China’s society and national economy,transportation conditions and information technology,the flow of labor,innovation and other factors between regions has become more frequent,and the flow and concentration of various factors have profoundly changed the spatial structure and land use in the region.Facing the serious problems of land resource scarcity,blind expansion,and sloppy land use that widely exist in cities today,this paper studies the relationship between factor flow and land use efficiency,which has key theoretical and practical significance.This paper explores the relationship between factor mobility and land use efficiency from both qualitative analysis and quantitative research.In the theoretical analysis,this paper analyzes the heterogeneous effects of labor factor transfer and innovation factor sharing on land use efficiency and the synergistic development relationship between them,taking into account the existing literature base.In the empirical study,this paper first adopts the gravity model to measure the flow levels of labor factors and innovation factors,and then constructs a stochastic frontier model under the Cobb-Douglas production function to measure the land use efficiency of each prefecture-level city(state)in Guizhou province from 2010 to 2020.Finally,the model formula and estimated coefficients were used to analyze the changes of land use efficiency under the assumption of no factor mobility,and to explore the heterogeneous effects of labor factor transfer and innovation factor sharing on land use efficiency.The following conclusions are finally drawn.(1)Factor mobility directly affects land use efficiency by changing factor inputs in the region.Among them,labor factor mobility in the form of transfer can improve land use efficiency in inflowing places and negatively affect outflowing places;innovation factor mobility in the form of sharing can positively affect land use efficiency in the whole region.The improvement of land use efficiency will also further promote the flow of factors,and the two will develop synergistically.(2)From 2011 to 2020,only Guiyang is the inflow of labor factors in Guizhou province,while the labor factors in other regions are all outflowing and the outflow is generally increasing,but the real value of labor factors in all regions after transferring is in an increasing state;from 2011 to 2020,the innovation factors in all regions in Guizhou province from 2011 to 2020,both the outflow and the total value of shared innovation factors are increasing.Overall,Guiyang,as the capital city of Guizhou province,has advantages relative to other regions in both labor factor transfer and innovation factor sharing.(3)Inputs of capital,labor and innovation factors all have significant positive effects on land use efficiency.2011-2020 land use efficiency varies significantly among regions in Guizhou Province,with central,northern and western regions of Guizhou Province having higher overall land use efficiency levels,while eastern and southern regions have lower land use efficiency levels.During 2011-2020,the land use efficiency in most regions of Guizhou province shows an increasing trend,while the land use efficiency in Liupanshui and Qiannan regions decreases.In 2020,the first place of land use efficiency in Guiyang and Anshun regions increases significantly and forms a joint land use efficiency belt with Zunyi in the three regions.(4)Only labor factor transfer in Guiyang has a positive effect on land use efficiency,while labor factor transfer in all other regions has a negative effect on land use efficiency;innovation factor sharing has a positive effect on land use efficiency in all regions of Guizhou Province.The positive effect of intra-regional innovation factor sharing on land use efficiency can offset the negative effect of labor factor outflow.In conclusion,in order to make efficient use of land,we should break the barriers of factor flow and guide the advantageous city clusters to play the radiation function;improve the regional scientific and technological innovation capacity to prevent the risk of labor force loss and decline;strengthen the control of territorial spatial planning and reasonably control the scale of land use;deepen the resource allocation and economic transformation to achieve high-quality social and economic development.