Fiscal Pressure, Inter-Industrial Allocation of Land and Agglomerations Effects

Land is a production factor that supports industrial development and also an important resource for increasing local government revenue.The scientific allocation of land has a positive effect on applying a new development philosophy.Based on the data of China's micro land transaction,this paper constructs the industrial dispersion indicator of land transfer to discuss about how short-term fiscal pressure affects allocation of land resources among industries and then analyzes its impacts on agglomeration effects.The results show that the greater the short-term fiscal pressure,the higher the dispersion of land transfer among industries,which holds true after going through a series of robustness tests.Further analyses show that the dispersion of land transfer among industries deteriorates the policy orientation of giving priority to key industries.Finally,the practice of dispersion of land transfer among industries weakens agglomeration economies.The research results of this paper show that local governments'strategy of land transfer among induestries for coping with short-term fiscal pressure has the characteristics of"increasing fiscal revenues and weakening the role of industrial guidance."This means that in the new stage of development,local governments urgently need to enhance their understanding of the multiple functions of land and avoid impairing industrial development for addressing the shortterm fiscal pressure.

Modelling urban expansion using a multi agentbased model in the city of Changsha

Although traditional urban expansion simulation models can simulate dynamic features, these models fail to address complex changes produced by different agents＇ behaviors. The paper has built up a set of spatial-temporal land resource allocation rules and developed a dynamic urban expansion model based on a multi-agent system, which can simulate the interaction among different agents, such as residents, peasants, and governments. This model is applied to simulate urban expansion process taking Changsha City, in China as a study area. The results show that this model can not only reflect basic characteristics of urban expansion, but also help explain the reasons for urban expansion process and understand the effect of agents＇ behavior on the expansion process, and provide insights into the causing factors behind the expansion. In addition, in contrast to simulation results with land use classification map from remote sensing images, the precision of the simulation reached over 68% with higher precision than cellular automata model according to the cell-by-cell comparison. The results suggest that the model can help to provide land use decision making support to government and urban planners.