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modeling of spatial Distributions of Farmland Density and Its Temporal Change Using Geographically Weighted Regression model

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Chinese Geographical Science 2014年第2期24卷 191-204页

作者： ZHANG Haitao GUO Long CHEN Jiaying FU Peihong GU Jianli LIAO Guangyu College of Resources and Environment Huazhong Agricultural University

This study used spatial autoregression(SAR)model and geographically weighted regression(GWR)model to model the spatial patterns of farmland density and its temporal change in Gucheng County,Hubei Province,China in 1999 and 2009,and discussed the difference between global and local spatial autocorrelations in terms of spatial heterogeneity and *** showed that strong spatial positive correlations existed in the spatial distributions of farmland density,its temporal change and the driving factors,and the coefficients of spatial autocorrelations decreased as the spatial lag distance *** models revealed the global spatial relations between dependent and independent variables,while the GWR model showed the spatially varying fitting degree and local weighting coefficients of driving factors and farmland indices(i.e.,farmland density and temporal change).The GWR model has smooth process when constructing the farmland spatial *** coefficients of GWR model can show the accurate influence degrees of different driving factors on the farmland at different geographical *** performance indices of GWR model showed that GWR model produced more accurate simulation results than other models at different times,and the improvement precision of GWR model was *** global and local farmland models used in this study showed different characteristics in the spatial distributions of farmland indices at different scales,which may provide the theoretical basis for farmland protection from the influence of different driving factors.

关键词： spatial lag model spatial error model geographically weighted regression model global spatial autocorrelation local spatial aurocorrelation

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The inequality of educational resources and its countermeasures for rural revitalization in southwest China

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Journal of Mountain Science 2020年第2期17卷 304-315页

作者： GUO Yuan-zhi ZHOU Yang LIU Yan-sui Key Laboratory of Regional Sustainable Development modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China

Equal access to education has long been a global concern and is important for rural revitalization strategy in the new era. However, little is known about the regional differences of educational resources in China, especially southwest China, where the spatial heterogeneity of human and physical geography is extremely significant. Using a dataset of primary and secondary schools of southwest China at county level in 2015, this study builds an index system to comprehensively measure the supply of educational resources, investigates the spatial pattern of educational resources via exploratory spatial data analysis(ESDA), and explores its influence factors through spatial econometrics. Results indicated that the supply level of educational resources in southwest China was relatively low;the high-high clusters of the supply of educational resources were mainly located in Sichuan Basin and the east of Western Sichuan Plateau, while the concentrated poverty-stricken areas of Guizhou and the border areas of Yunnan-SichuanGuizhou, especially Wumeng mountain area, were characterized by the low-low clusters. Furthermore, this study suggested that altitude, population density, local government revenue and rural residents' income were positively correlated with the supply of educational resources, while the negative influenceswere exerted by proportion of ethnic minority population and urbanization rate. And there were differences in the specific objects of actions of each factor. Ultimately, we proposed that village relocation and combination, as well as sustainable urbanization and regional development were practical paths to optimize the supply of educational resources in rural areas, thus promoting the modernization of agriculture and countryside.

关键词： Educational resources Rural revitalization spatial heterogeneity spatial error model Southwest China

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Spatiotemporal variation of forest land and its driving factors in the agropastoral ecotone of northern China

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Journal of Arid Land 2022年第1期14卷 1-13页

作者： WANG Shiqing TAO Zefu SUN Piling CHEN Sijia SUN Huiying LI Nan School of Geography and Tourism Qufu Normal UniversityRizhao 276826China Rizhao Key Laboratory of Territory spatial Planning and Ecological Construction Rizhao 276962China College of Land Science and Technology China Agriculture UniversityBeijing 100193China

As an important natural resource,forest land plays a key role in the maintenance of ecological ***,variations of forest land in the agropastoral ecotone of northern China(AENC)have attracted little *** the AENC as an example and based on remote-sensing images from 2000,2010 to 2020,we explored the spatiotemporal variation of forest land and its driving factors using the land-use transfer matrix,spatial autocorrelation analysis and spatial error *** results showed that from 2000 to 2020,the total area of forest land in the AENC increased from 75,547.52 to 77,359.96 km^(2) and the changes were dominated by the transformations among forest land,grassland and cropland,which occurred mainly in areas with the elevation of 500-2000 m and slope of 15°-25°.There was obvious spatial agglomeration of forest land in the AENC from 2000 to 2020,with hot spots of forest land gathered in the southern marginal areas of the Yanshan Mountains and the low mountainous and hilly areas of the Loess *** sub-hot spots around hot spots moved southward,the sub-cold spots spread to the surrounding areas and the cold spots *** spatiotemporal variation of forest land resulted from the interactions of natural environment,socioeconomic and policy factors from 2000 to *** variables of average annual precipitation,slope,terrain relief,ecological conversion program and afforestation policy for barren mountains affected the spatial pattern of forest land positively,while those of annual average temperature,slope and road network density influenced it negatively.

关键词： forest land spatiotemporal variation driving factors spatial error model agropastoral ecotone northern China

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Study on Influencing Factors of Education Investment Based on spatial Econometrics Analysis

Study on Influencing Factors of Education Investment Based o...

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2012 International Conference on Earth Science and Remote Sensing(ESRS 2012)

作者： Gong Siyi Lv Kangjuan Wu Tao Shanghai University

Based on the spatial Data Analysis, this paper constructs spatial econometric model of the factor influencing the government education investment to do an empirical study to the education investment level of China’s 31 provinces. Through the study, it is found that: the education of the local government in a certain space has the spatial dependence and spillover effects between provinces. Local government expenditure and the school-age population which have contributed significantly to the local education expenditure are the core variables of the government investment in education for government investment in education. The impact of industrial structure on government investment in education is a little more complex: the initial investment in the industrial structure has little influence on education;and current data on investment of government education has some influence, but is not significant.

关键词： spatial Econometrics Analysis Education Investment spatial Lag model spatial error model

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服务业集聚与区域经济增长

区域与城市经济

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区域与城市经济 2012年第7期

作者：陈立泰梁乐张祖妞

采用物质资本集聚度、人力资本集聚度以及就业密度衡量服务业集聚水平，运用空间计量方法，研究服务业集聚对区域经济增长的影响，结果显示：我国区域经济增长呈现明显的空间集聚特征；服务业物质资本集聚水平对区域经济发展的促进作用... 详细信息

采用物质资本集聚度、人力资本集聚度以及就业密度衡量服务业集聚水平，运用空间计量方法，研究服务业集聚对区域经济增长的影响，结果显示：我国区域经济增长呈现明显的空间集聚特征；服务业物质资本集聚水平对区域经济发展的促进作用呈弱化之势，人力资本集聚度的区域经济增长效应也由正转向负，而服务业就业密度、经济开放水平等因素发挥着越来越重要的作用。应该注重加强相邻地区间的交流与合作，形成经济互助，协调发展；同时应提高我国服务业的集聚度，充分发挥其对区域经济增长的正向促进作用。

关键词：服务业集聚物质资本集聚度人力资本集聚度就业密度区域经济增长空间滞后模型空间误差模型 service industry agglomeration physical capital agglomeration human capital agglomeration employment density regional economic growth spatial lag model spatial error model

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铁路交通基础设施对居民家庭消费结构升级的影响

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贸易经济 2020年第5期

作者：刘玉飞常晓坤张期陈

梳理了铁路交通基础设施对消费结构转型的影响机制，并运用中国2000-2014年省级面板数据构建空间计量模型进行实证研究。研究结果显示：铁路交通基础设施主要通过增加家庭文教娱乐消费支出占比来促进居民家庭消费结构由生活型向发展型... 详细信息

梳理了铁路交通基础设施对消费结构转型的影响机制，并运用中国2000-2014年省级面板数据构建空间计量模型进行实证研究。研究结果显示：铁路交通基础设施主要通过增加家庭文教娱乐消费支出占比来促进居民家庭消费结构由生活型向发展型和享受型转变；样本期间内，铁路交通基础设施对医疗保健消费支出占比以及交通通信消费支出占比的影响不显著。由此可见，在经济转型阶段，合理布局铁路交通路线，优化铁路密度能进一步释放居民家庭的消费潜力，激发居民家庭消费结构的转型，从而实现经济的可持续增长。

关键词：铁路交通基础设施消费结构升级空间滞后模型空间误差模型 railway transportation infrastructure upgrading of consumption structure spatial lag model spatial error model

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新冠疫情应急管理中的管制政策与疫情分布的时空关系

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公共管理与政策评论 2020年第3期

作者：陈武张海波高睿

中国各地各级政府根据本地疫情严重程度，采取了一系列的应急管理举措，其中就包括对交通运输、活动场所、特定人员的管制政策。本文主旨是以时空为切入点，从理论和实证层面论证这些管制政策与疫情的关系。本文收集了以春节期间为主要... 详细信息

中国各地各级政府根据本地疫情严重程度，采取了一系列的应急管理举措，其中就包括对交通运输、活动场所、特定人员的管制政策。本文主旨是以时空为切入点，从理论和实证层面论证这些管制政策与疫情的关系。本文收集了以春节期间为主要时段的湖北省13个地级市（州）相互之间的空间距离、三类管制政策、确诊病例等数据。根据空间面板回归模型结果，本文讨论了三类管制政策与疫情分布的时空关系。分析结果显示：三类政策中，交通管制对疫情发展的影响最显著，其他两种政策需要进一步探讨；此外，还需要研究并识别尚未认识到的存在时空效应的外在因素。

关键词：新型冠状病毒肺炎管制政策湖北省面板数据分析空间误差模型 Novel Coronavirus Pneumonia Control Policy Hubei Province Panel Data Analysis spatial error model

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