| The implementation of General Land Use Planning (2006-2020) lays a solid foundation for advancing the economy of our country and construction of harmonious society. The macroeconomic environment and great policy, especially spatial allocative efficiency of rural-urban construction land, deserves attention greatly in the process of implementation. Local government, as an economic man, pursuit one's own maximum interests under an index allocation model, which is Top-Down and Layer-Decomposition. It is a non-cooperative game between superior-subordinate government or parallel government, which is in order to declare the most rural-urban construction land index with the regardless of the actual needs of economic development. It will affect spatial allocative efficiency of rural-urban construction land, because the lack of pre-evaluation of allocative efficiency, mid-assessment of utilization efficiency and post-mechanism of planning adjustment. The method of analysis and adjustment of spatial allocative efficiency is desiderated to provide theoretical and policy basis for adjustment of rural-urban construction land for general land use planning revision objectively.An adjustment method of rural-urban construction land is studied in order to provide decision support of quantity and distribution adjustment, according to the problem of planning revision, based of new general land use planning achievements, as the means of dynamic spatial analysis, and supported by Geographic Information System. This research will support the adjustment of rural-urban construction land both in technology and decision, and guarantee the healthy development of rural-urban construction land with reasonable quantity and rational distribution.The main research content and the conclusion of the dissertation are as follows:(1) On the one hand, spatial correlation analysis of regional rural-urban construction land pattern is performed by adopting related theories and methods such as global spatial autocorrelation, local spatial autocorrelation. The result indicates that pattern of rural-urban construction land has apparent space correlation and spatial non-stationary. At the same time, the spatial characteristic in micro level of rural-urban construction land is analyzed based on the spatial residual distribution of geographically weighted regression model. Residual of the model is used to describe the difference between actuality value and simulation value. Original residual of the model is standardized, which describes the hot spots and cold spots for development of rural-urban construction land. In terms of logic, the loss of spatial allocative efficiency is evaluated and the planning implementation of rural-urban construction land is assessmented on the premise of production factor characteristic of rural-urban construction land, based on extended production function model, on the principle of marginal equilibrium production. It is considered that the development of regional economy is dependent excessively on the investment of rural-urban construction land. The spatial allocation of rural-urban construction land with non-equilibrium state of distribution and efficiency is needed to be adjusted because of not quite reasonable allocation.(2) The Assistant Decision-making Model for Rural-Urban Construction Land Amendation of Land Use Planning will be established. The spatial allocation model of rural-urban construction land is established under the framework of Pareto Optimum for the quantitative expression of marginal economic benefits of rural-urban construction land based on equality of marginal economic benefits in order to optimization of regional economic benefits. The measure methods are proposed for the index and the loss of spatial allocative efficiency after connotation interpretation. The quota deviation of rural-urban construction land is calculated on the theoretical premise of get back efficiency sharing mechanism, which will be used to calculate the scale and direction of adjustment. The decision index system of ranking is composed of14indicators, involved in construction quality, cost and efficiency of rural-urban construction land. Then based on the character of ranking, ranking models, such as similarity to ideal point model, fuzzy optimization model and attribute hierarchy model, are used to make combinatorial decision of ranking. Index weight of three models are calculated by method of both hierarchy analysis and entropy weights. According to the ranking results, every map plot whether be selected into new rural-urban construction land is determined by0-1integer programming model. Partitioning polygon in determined area ensure the accurate location of map plot by a step-by-step approximating method, which contents to the strict control demand of land use planning.(3) Tonglu County of Zhejiang Province is selected as study area. The decision-making model system for amendation of rural-urban construction land in Tonglu County is established to make assistant decision for the palnning amendation of rural-urban construction land in Tonglu County. Panel data, including the added value of secondary industry and tertiary industry and quantity of rural-urban construction land of every township, is used to regression analysis with SUR model for marginal production of rural-urban construction land. Quantity adjustment scheme of rural-urban construction land use is designed based on the principle of Pareto Optimum. According to this scheme, assistant decision-making for distribution amendation of rural-urban construction land use is provided by comprehensive ranking, selecting decision-making and polygon partitioning. At last, the spatial differences in micro level and spatial allocative efficiency of rural-urban construction land of new amendation scheme is evaluated. Compared with present situation, the spatial allocation of rural-urban construction land use is more equilibrium and the spatial distribution of rural-urban construction land use is more reasonable.
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