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Spatial Effect Analysis Of The Influence Of China's Urbanization On The Optimization Of Forestry Industry Structure

Posted on:2020-10-04Degree:MasterType:Thesis
Country:ChinaCandidate:N GengFull Text:PDF
GTID:2393330578976176Subject:Statistics
Abstract/Summary:PDF Full Text Request
The state attaches great importance to the development of new urbanization and proposes to continuously improve the quality of new urbanization development.As an industry integrating economy,society and ecology,forestry is the foundation of sustainable social development.With the continuous improvement of China's urbanization level,the city's functions have gradually improved,providing a good externality for industrial agglomeration,and the forestry industry has gathered in space,thereby improving forestry production technology and innovation capability,and optimizing and upgrading the forestry industry structure.Provides soft power.Implementing the new urbanization development road is an opportunity and a challenge for the forestry industry.On the one hand,the development of new urbanization can promote the urban landscaping construction,drive the development of the real estate industry and the furniture manufacturing industry,and promote the number of forestry laborers.Improve the quality of forestry,improve the ability of forestry technology creation and capital investment,promote the development of forestiy tourism,and promote the optimization and upgrading of forestry industry structure;on the other hand,New urbanization may lead to the invasion or ruin of forest land,leading to serious forest fragmentation,adversely affecting the production factors such as forestry labor and capital,and thus inhibiting the optimization and upgrading of forestry industry structure.Therefore,in the context of new urbanization,it is particularly important to discuss the development direction of forestry industry structure optimization and the impact of new urbanization on the forestry industry structure.This paper takes China's provincial data as the research object,applies the new urbanization related theory,forestry industrial structure optimization related theory and spatial measurement method.First,use the entropy weight method to measure the new urbanization level and compare the new towns between provinces.Different levels of development,and observe the development of new urbanization levels at the national and provincial levels;using Moran's I index,Moran's I scatter plot and LISA agglomeration map,analyze the new types between provinces from different perspectives from the global and local perspectives The spatial distribution characteristics of urbanization level.Then,using the Theil index and the industrial structure hierarchy coefficient to measure the rationalization and high level of the forestry industry structure in the province,compare the rationalization of the forestry industry structure between the provinces and the regional differences,and observe the national and provincial areas.Development status;using Moran's I index,Moran's I scatter plot and LISA agglomeration map to test its spatial correlation,from the perspective of global and local perspectives,analyze the spatial distribution characteristics of forestry industrial structure rationalization and heightening between provinces.Finally,through the establishment of the classic OLS model,the spatial lag model SLM,the spatial error model SEM to establish a model for the rationalization and elevation of the forestry industry structure,the provinces and the easterm,central and western regions,analyze the new urbanization and rationalization and high-level forestry industry structure.Spatial correlation and spatial heterogeneity.Finally,on this basis,from the land resources,forestry market,labor,capital,technology and other aspects,propose countermeasures to promote the coordinated development of new urbanization and forestry industrial structure.
Keywords/Search Tags:New urbanization, Forestry industry structure optimization, Spatial correlation, Spatial heterogeneity
PDF Full Text Request
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