DRS. MUTH AND MILLS MEET DR. TIEBOUT: INTEGRATING LOCATION‐SPECIFIC AMENITIES INTO MULTI‐COMMUNITY EQUILIBRIUM MODELS*

ABSTRACT We consider the problem of integrating spatial amenities into locational equilibrium models with multiple jurisdictions. We provide sufficient conditions under which models that assume a single housing price in each community continue to apply in the presence of location‐specific amenities that vary both within and across communities. If these conditions are satisfied, the models, estimation methods, and results in Epple and Sieg (1999) are valid in the presence of (potentially unobserved) location‐specific amenities. We also show how to construct sufficient statistics that capture location specific spatial heterogeneity. We apply these techniques using data from the Pittsburgh metropolitan area. We find that these amenity measures capture proximity to important local employment centers as well as heterogeneity in school quality within a given school district.     

ARE LOCAL MILIEUS THE KEY TO INNOVATION PERFORMANCE?*

ABSTRACT This study investigates how local milieus foster innovation success in firms. We complement the common practice of linking firm performance indicators to regional characteristics with survey evidence on the perceived importance of locational factors. While the former approach assumes that location characteristics affect all firms in the same way, the survey allows us to model how firms judge the attractiveness of locations using a heterogeneous set of criteria. It turns out that the availability of highly skilled labor and the proximity to suppliers matter for firms' innovation performance. Interestingly, location factors obtained from the survey provide a more accurate explanation of how local milieus facilitate innovation.     

南京市住宅价格时空分异格局及其影响因素分析——基于地理加权回归模型的实证研究

以2009-2017年南京市“一主三副”商品房社区为基本研究单元,运用GIS地统计分析中的普通Kriging插值法对“一主三副”住宅价格空间分布进行模拟和估计,并利用地理加权回归（GWR）模型探究社区属性、商业区位、交通区位、服务区位和景观区位等类型变量对住宅价格的影响规律。研究结果表明：①南京市房价总体上呈现主城向副城递减的中心外围模式,“一主三副”住宅价格空间结构呈现出同心圆和扇形融合的混合模型。②中心位势对主城住宅价格影响相对下降,对副城影响相对提升,交通位势表现出相反的趋势,住宅房龄、绿化环境对住宅价格的影响由主城向副城递减,山水景观的影响由长江沿岸向外围递减。③主副城住宅价格影响因素具有空间异质性,其中主城受距CBD距离、住宅建筑年代和绿化率的影响较大,而副城主要受距地铁站距离、距景观资源距离的影响。     

SPATIAL PRICING IN INTERDEPENDENT MARHETS*

ABSTRACT. Conditions for spatial price equilibrium are derived for a set of firms in oligopolistic spatial competition, distributed at fixed locations in a heterogeneous region where consumer purchasing patterns are a probabilistic function of the price distribution rather than a deterministic function of proximity to firms. The resulting prices vary with accessibility to consumers or with the degree of local spatial monopoly, and result in non-zero profits for firms. Conditions describing the existence and stability properties of this spatial price equilibrium are defined, and are shown to be equivalent for two different hypotheses concerning disequilibrium pricing behavior: a partial price adjustment model and a Bertrand game. For two different profit goals, total profit maximization and profit rate maximization, it is shown that a spatial price equilibrium exists and is at least locally quasi-stable.     

基于GWR模型的合肥居住地价影响因素研究

以合肥市主城区为例,基于2010-2014年居住用地的出让数据,运用地统计法、GWR模型等方法,对合肥市居住地价的空间异质性及其影响因素进行研究。研究表明：①合肥市居住地价的空间分布呈现出显著的多中心的空间结构,地价的峰值区分别以老城区、政务区天鹅湖及滨湖新区塘西河公园为中心呈现圈层式分布;②不同的地价影响因素表现出不同的空间分布特征,其中容积率对居住地价的贡献度空间差异最大,其次是宗地面积,主干路次之,交通站点对居住地价的贡献度最小;③厘清各影响因素对地价的作用机制,建立动态的数字地价模型,不仅能促进土地资源的集约利用,重塑城市的空间结构,而且能为城市整体价值的发挥提供重要的理论支撑。     

Geographic and Network Neighbors: Spillover Effects of Telecommunications Infrastructure

This paper tests for spatial spillover effects of state-level telecommunications infrastructure investment on state output, using panel data for 48 U.S. states from 1970 through 1997. As information and communication technologies support more industrial locational freedom, states may use telecommunications infrastructure investment as a competitive tool for attracting factors of production. In a production-function framework, this effect would manifest itself as a negative output spillover effect from telecommunications infrastructure investment. Findings indicate that a state benefits from its own telecommunications infrastructure, but telecommunications investment by other states has a negative impact on its output growth path, and proximity amplifies this negative spillover effect.     

基于GIS的黄土塬区居民点空间分布研究

借助GIS的空间分析功能,对黄土塬区居民点进行空间分布研究,得出黄土塬区居民点空间分布是随机的,决定这种分布的主要因素是地形地貌,历史继承性也对本区居民点空间分布有一定的影响,并指出在黄土塬区小城镇体系的建设中,城镇布局应主要考虑地形因素,同时也应注意城镇布局遵循经济地理区位论理论,以利于区域经济发展的需要。     

长春市住宅价格空间分异与影响因素研究

基于持续年份住宅数据、利用空间热点分析和地理加权回归模型，对2011年以来长春市住宅价格分布的空间分异现象和住宅价格影响因素分布的空间异质性进行研究。结果显示：①近年来长春市住宅小区存在向内填充与向外扩散并进，圈层扩展和扇形放射融合的演化趋势，其中西南-东南扇面是居住空间扩展的主要方向；②2011年以来长春市住宅价格呈现出以南部为指向的扇面增长的空间特征，高价住宅街区由点状分布到片状扩散。通过半变异函数和冷热点聚类分析方法指出，长春市住宅空间的南北分异现象显著，住宅价格的低值与高值聚类以铁路为界线存在显著的空间隔离；③就POI数量而言，住宅小区周边银行保险、医疗、住宿、休闲娱乐数量对住宅价格产生较强影响，同时以上因素作用效应的空间差异性同样显著。     

基于村域微尺度的人口流动类型空间分异及作用机理——以云南玉龙县为例

村域微尺度人口流动过程对县级单元就近城镇化发展、小城镇发展和新型农村社区建设等方面影响凸显.以云南玉龙县为研究区域,以行政村为基本空间单元,深入剖析人口流动村域类型空间分异特征,识别人口流动村域类型空间分异的关键影响因素及其作用机制.研究表明:①玉龙县村域人口流动特征呈现明显的空间分异,具体表现在人口流动强度和人口流动...     

"The Problem of Spatial Autocorrelation" and Local Spatial Statistics

This article examines the relationship between spatial dependency and spatial heterogeneity, two properties unique to spatial data. The property of spatial dependence has led to a large body of research into spatial autocorrelation and also, largely independently, into geostatistics. The property of spatial heterogeneity has led to a growing awareness of the limitation of global statistics and the value of local statistics and local statistical models. The article concludes with a discussion of how the two properties can be accommodated within the same modelling framework.     

GeoDa : An Introduction to Spatial Data Analysis

This article presents an overview of GeoDa™, a free software program intended to serve as a user-friendly and graphical introduction to spatial analysis for non-geographic information systems (GIS) specialists. It includes functionality ranging from simple mapping to exploratory data analysis, the visualization of global and local spatial autocorrelation, and spatial regression. A key feature of GeoDa is an interactive environment that combines maps with statistical graphics, using the technology of dynamically linked windows. A brief review of the software design is given, as well as some illustrative examples that highlight distinctive features of the program in applications dealing with public health, economic development, real estate analysis, and criminology.     

Recent Directions and Developments in Geographical Information Systems

Geographical information systems (GIS) are tools for handling and processing spatially referenced information that have permeated all facets of archaeology, frequently revolutionizing research by allowing easy access to vast amounts of information, new ways of data visualization that promote insight through pattern recognition, and unique methodologies that allow entirely new approaches to the study of the past. This comprehensive review examines and critiques recent advances achieved through GIS in regional and within-site databases, locational analysis and modeling, regional simulation, studies of landscape perception through intervisibility analysis, and models of spatial allocation, territoriality, and site access. The future prospects of GIS are enormous with the growth of the Internet, the resultant linking of databases, expected enhancements in satellite remote sensing, and the increasing pervasiveness of global positioning systems for spatial data capture. If there is a persistent theme that emerges from the chronicles of contemporary scientific cartography, it is that the creation of a map almost inevitably leads to unexpected revelations. — Hall, Mapping the Next Millenium: How Computer-Driven Cartography Is Revolutionizing the Face of Science     

基于POI大数据的老工业区房价影响因素空间分异与实证

在采集沈阳市铁西区2017年住宅、工厂、地铁站等兴趣点数据的基础上,将工厂距离、房龄以及住宅密度三个变量与传统变量共同参与构建地理加权回归模型,揭示房价影响因素的空间异质性及形成机制。结果表明：在全区范围内,房龄、住宅密度、公共交通、公共配套设施等对房价有显著的提升作用,而工业企业等对房价有一定的抑制作用;新老城区对比来看,所筛选的影响因素与房价的相关性具有显著的空间非平稳性,具体表现在工厂距离、公交密度、商场距离等因素在新老城区的正负影响差异,以及住宅密度、地铁站距离等单向影响因子回归系数的强度渐变;从研究方法来看,基于POI与GWR集成分析,可以有效克服房价实时更新慢、准确度低及数据清洗困难等传统难题,从而为构建和发展新数据环境下的经济地理研究提供参考。     

WHEELS OF FORTUNE: SUBWAY EXPANSION AND PROPERTY VALUES IN BEIJING

China is experiencing rapid urbanization. Its capital city, Beijing, experienced a 53 percent increase in population from 2001 to 2013. To address traffic congestion and air pollution, two of the most pressing urban challenges, Beijing has been investing heavily in transportation infrastructure. In particular, the subway system added 15 new subway lines with a total length of 410 km of over the 12‐year period. We quantify the capitalization of large‐scale subway construction into property values in a first‐differenced hedonic price framework while controlling for confounding factors and reverse causality. Our analysis finds a positive and significant impact of subway proximity on property values: a reduction in the distance to a subway station by 1 km increases the value of properties within 3 km of the station by 15 percent, and by 3.4 percent for properties within 3–5 km. Our analysis shows that the increase in property values can more than cover the capital cost of subway construction.     

Reimagining GIScience for relational spaces

A mismatch between largely absolute Newtonian models of space in GIScience and the relational spaces of critical human geography has contributed to mutual disinterest between the fields. Critical GIS has offered an intellectual critique of GIScience without substantially altering how particular key geographical concepts are expressed in data structures. Although keystone ideas in GIScience such as Tobler's “First Law” and the modifiable areal unit problem speak to enduring concerns of human geography, they have drawn little interest from that field. Here, we suggest one way to reformulate the computational approach to the region for relational space, so that regions emerge not through proximity in an absolute space or similarities in intensive properties, but according to their similarities in relations. We show how this might operate theoretically and empirically, working through three illustrative examples. Our approach gestures toward reformulating key terms in GIScience like distance, proximity, networks, and spatial building blocks such as the polygon. Re‐engaging the challenges of representing geographical concepts computationally can yield new kinds of GIS and GIScience resonant with theoretical ideas in human geography, and also lead to critical human geographic practices less antagonistic to computation.     

基于GIS的农村医疗设施空间可达性分析——以河南省兰考县为例

针对农村医疗设施空间分布的公平性问题,提出了使用GIS技术和空间可达性指标评估医疗设施的区域分布特征。以兰考县乡级以上卫生院为例,建立人口分布、医疗设施位置、行政区域等地理数据库,选择人均医疗资源分配、就医的最近距离、选择医院的机会、重力模型及改进的重力模型5个空间可达性模型,计算了各乡镇、各行政村的医疗设施可达性指标,并制作了相应的专题地图;在此基础上对医疗设施的空间布局进行了分析。空间可达性指标全面地反映医疗设施的空间分布特征,鉴别出资源分配较薄弱的区位,是农村医疗改革中设施规划和资源分配的重要依据。     

北京市居民居住选址行为分析

本文在对北京市居民居住需求的调查基础上分析了居住区位在居住需求行为中的地位,是仅次于住房面积的第二重要因素,同时,笔者分析了不同住户群体的居住选址行为的社会经济影响因素,最后预测北京市未来的城市住宅空间的分异特点。     

GIS在时间地理学中的应用初探

时间地理学是一种富有应用前景的面向微观人文现象的研究方法,但相对落后的研究手段迟滞了它的发展。通过考察时间地理学的研究对象、研究方法及其理论基础,结合时态地理信息系统近年来在时空表达与分析方面的进展,本文详细阐述了地理信息系统技术在时间地理学中的应用思路,并认为两者的结合将促使时间地理学在数据处理、时空分析、结果表达与深化等方面得到进一步的发展。     

Effects of Confidentiality-Preserving Geo-Masking on the Estimation of Semivariogram and of the Kriging Variance

Geostatistical methods, such as semivariograms and kriging are well-known spatial tools commonly employed in many disciplines such as health, mining, forestry, meteorology to name only few. They are based essentially on point-referenced data on a continuous space and on the calculation of distances between them. In many practical instances, however, the exact point location, even if exactly known, is geo-masked to preserve confidentiality. This typically happens when dealing with confidential data related to individuals-health and their biometric parameters. In these situations, the estimation of the semivariogram and, hence, the spatial prediction can become biased and highly inefficient. This paper examines the extent of the bias in the particular case when the geo-masking mechanism is known (called “intentional locational error”) and lays the ground to a full understanding of the phenomenon in more general cases. We also examine how the geo-masking affects the estimation of the kriging variance thus reducing the efficiency of spatial prediction. We pursue our aims by developing some theoretical results and by making use of simulated and real data analysis.     

Mobility of the Creative Class and City Attractiveness: A Case Study of Chinese Animation Workers

The paper investigates the geographical mobility of creative workers in China, focusing on the authors' survey of workers in the animation industry. More specifically, the authors use the Reilly-Converse model and GIS tools to probe the locational choices of Chinese animation workers in Beijing and Shanghai by analyzing such factors of spatial attractiveness as home town, place of residence, and university from which the worker graduated. The paper compares the creative milieus in Beijing and Shanghai, and demonstrates that the "personal trajectory" of human capital is a key determinant of occupational location. The results of the authors' survey highlight the limitations of Richard Florida's 3T theory in the Chinese context.