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Analysis Of Spatial Differentiation Characteristics Of Land Resources On Poverty

Posted on:2019-06-01Degree:MasterType:Thesis
Country:ChinaCandidate:Q P LiuFull Text:PDF
GTID:2429330548983705Subject:Land Resource Management
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In the process of national poverty alleviation,the CPC central committee and the state council always attach great importance to the development of guangxi.The outline of China's rural poverty alleviation and development(2011-2020)issued by the state council of the communist party of China(CPC)has explicitly asked for priority support for poverty-stricken counties in guangxi.In January 2016,the general office of the central committee of the communist party of China,issued by the general office of the state council "about intensify poverty crucial support to old revolutionary base areas develop construction guidance",will increase the poverty alleviation revitalization of guangxi to a whole new level.Guangxi zhuang autonomous region,is the collection of old revolutionary base areas,ethnic minority areas,border areas and Da Shi Shan District key areas,poverty-stricken areas,ecological protection zone key development area,resource enrichment region and a variety of social and economic function of specific area,is the national key poverty relief area.In the research area,the natural resource endowment is abundant,but the land rocky desertification is serious and the land is barren.Regional economic foundation is weak,the social economy on agriculture,farmers land resources,to the survival of all ethnic groups is not only the fundamental,to solve the problem of "eating" is the basis of the new situation of poverty.In this background,this study selected the guangxi zhuang autonomous region as the research object,to the county as the basic research unit,selection of land resource utilization and other related factors,on the basis of an analysis of the use of land resources Guang Xi District county level on the impact of various factors affecting on poverty space differentiation characteristics analysis.Selected in 2016 as the time node,based on Arc GIS software computing platform,poverty is extracted through geographical probe model strength of the leading factor in the use of land resources,the poverty rate as the dependent variable,the dominant land resources use factor as the independent variable,build geographically weighted regression model,quantitative analysis of each variable space differentiation characteristics analysis of the impact of poverty,and then put forward the strategy of guangxi region out ofpoverty,get the following conclusion:(1)Use the geographical detector model to diagnose poverty affecting factors from the perspective of land resource utilization,and explore the influence and influence of various factors on poverty.The q value corresponding to the significance of the results of detection P values found that different impact factor in the various periods of significant P value is zero,the role of various influence factors of poverty intensity presents obvious difference.sorting from the size of all kinds of factors: the average slope > an average elevation > slope 1 proportion(6°-15°)> slope 2proportion(15 °-25 °)> slope 0 proportion(2 °-6 °)>slope3 proportion(>25 °)> clay content of > garden land area per forest > forest coverage rate >cultivated land area > The amount of fertilizer applied per unit area> woodland area per capita years of average > Perennial average rainfall > Land resumption index.>Perennial average temperature > land comprehensive productivity >land reclamation rate > sand content of > Topographic relief >mealy sand content of >percapita occupancy of grain.(2)Based on geographic detector diagnosed with the dominant factors influencing the poverty,geographically weighted regression analysis was carried out on the dominant factor,further quantitative analysis of the dominant factor of poverty impact analysis of the spatial differentiation characteristics.It was found that the average slope,slope 1 proportion(6°-15°)?slope 2 proportion(15°-25°)?per capita land area and other factors were positively correlated and negatively correlated with the incidence of poverty.Average elevation,slope 0 proportion(2°-6°)? perennial average temperature?soil clay content ratio and poverty incidence were positively correlated;slope 3(> 25°)? the per capita arable land?forest land area per capita?land reclamation rate? multiple cropping index years of average rainfall? land comprehensive productivity and poverty rate has a negative relationship.(3)Through geographical probe model and geographically weighted regression model,study the influence of land resource utilization for poor spatial differentiation characteristics analysis,puts forward relevant Suggestions from four aspects,including the value of land ecological protection function,the construction of water conservancy engineering,improve irrigation and water conservancy infrastructure,adjust measures to local conditions development of land resources,the development of agricultural science and technology,increasing the income of agriculture and to put forward the corresponding Suggestions for poverty alleviation.
Keywords/Search Tags:Poverty, Utilization of land resources, Geographical detector, Geographical weighted regression, Guangxi
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