Spatial determinants of Japanese FDI in China

Research on foreign direct investment in China has spawned an increasingly large literature. Whilst regional cleavages with respect to the distribution of foreign direct investment (FDI) are acknowledged, empirical research on the spatial determinants of FDI in China has been limited. Furthermore, research on the spatial determinants of home country FDI in China has thus far been neglected due to difficulties in accessing the appropriate data. The objective of this paper is to examine the spatial determinants of Japanese direct investment in China by using an econometric model. To that purpose, a dataset is created from the Toyo Keizai directory on the overseas activities of Japanese companies. The results show that tertiary education, inland waterways, as well as coastal location are positive and significant determinants of Japanese investment in China.     

块状世界的经济学——空间经济学点评

The major subjects of the Spatial Economics are studying the spatial distributions of economic activities, investigating those factors and mechanism determining the spatial style of economic activities, and reintroducing the spatial factor neglected by the Mainstream Economics for a long period into the general equilibrium frame. This paper presents the main research object of the Spatial Economy, as well as its＇ foundations, the catalog and artifice of those theoretical models, and main insights of the Spatial Economy, evaluates the theoretical improvement of the Spatial Economy in brief.     

互联网金融发展提升了区域创新效率吗——基于空间杜宾模型的实证分析

基于2011—2018年全国30个省份（西藏地区和港澳台地区因数据缺少剔除）的面板数据,利用随机前沿模型测度中国区域创新效率。在此基础上构建动态空间面板模型对互联网金融发展与我国区域创新效率提升的关系进行实证分析,结果表明互联网金融发展与区域创新效率均存在显著的空间集聚特征。进一步通过中介效应检验发现,互联网金融发展主要通过加速金融发展与人力资本积累等对区域创新效率产生正向影响,该影响也表现出显著的空间溢出效应。     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

A network-based analysis of the impact of structural damage on urban accessibility following a disaster: the case of the seismically damaged Port Au Prince and Carrefour urban road networks

The magnitude 7.0 earthquake that struck Haiti in January 2010 led to an unprecedented effort in collecting and providing geographical information in support of humanitarian aid. Although most of the compiled datasets and generated maps were able to provide specific and detailed information regarding the location of damaged buildings and road interruptions, none or little information was available to describe the accessibility—or otherwise—of the urban space. Here we try to offer an alternative method to define the urban accessibility landscape in the aftermath of earthquake damage, by combining simple graph theory concepts and GIS-based spatial analysis to assess how the urban space accessibility decreases when the road network is damaged.     

Effects of location on Airbnb apartment pricing in Málaga

The relatively recent social movement known as the “sharing economy” is becoming increasingly visible in online peer-to-peer platforms. One such platform is Airbnb; an accommodation marketplace which provides access to tourist accommodation. These platforms are having an important social and economic impact on tourist destinations such as Málaga, Spain. This paper presents a spatial econometric hedonic model that explains the pricing strategy of Airbnb tourist apartments in Málaga using factors such as host, guest, structural characteristics, and location. In relation to locational factors, the model in this study confirms the impact of spatial spillover effects, accessibility to certain amenities, traffic noise, walkability, and the ethnicity of residents in the neighborhood where the listing is located.     

大城市保障性住房空间布局的社会问题与治理途径

本文研究了北京、上海、南京等五大城市保障性住房空间布局特征,指出大城市保障性住房普遍存在空间选址偏僻、大规模集中建设、配套设施不完善等现实问题.在分析以上问题形成原因的基础上,认为大城市保障性住房集中建设在偏远郊区可能导致社会隔离与排斥加剧、出现城市贫民区与贫困文化、贫困的代际延续与社会风险加剧等一系列社会问题.因此建...     

城市圈可接近性与城市经济增长--以珠三角、武汉城市圈为例

针对我国目前正在兴起的建设城市圈的热潮,本文讨论了城市圈形成的一个模型,运用空间计量以及面板数据的方法对我国已经发展较成熟的珠三角城市圈以及正在建设的武汉城市圈进行了比较研究,结果发现:城市圈的可接近性能显著地促进位于城市圈内的城市的经济增长水平。本文还提出了发展边缘城市、实施组团式发展的城市圈发展策略。     

建设用地集约节约利用的主成分分析——以广东省为例

本文探讨了主城分分析法在建设用地集约节约利用方面的应用。以广东省为例,对2008年的广东省19个市建设用地利用现状进行了分析,并在ArcGIS中进行了可视化表达。结果表明,珠三角地带建设用地的集约节约利用程度比较高,并分析了其原因。文章的最后进行了空间自相关分析的讨论。     

Governing Suburbia through regionalized land-use planning? Experiences from the Greater Frankfurt region

This paper explores the case of peripheral settlement growth in the Greater Frankfurt (Main) region within current debates on global suburbanization. Within Germany’s sophisticated spatial planning regime, Greater Frankfurt’s system of regionalized land-use planning marks an ambitious initiative to contain urban sprawl. Nonetheless, expansive peripheral settlement growth, and socio-spatial polarization remain distinct characteristics of the booming region. Analyzing state regulation vis-à-vis dynamics of capitalist urbanization and private authoritarianism, we decipher the complex governance arrangements producing this, at first sight, contradictory simultaneity. We uncover the rationales of local growth politics of autonomous municipalities and the region’s multiplied institutional fragmentation that undermine planning ambitions to contain suburban growth. We conclude by critically assessing the political economies of suburbanization in Greater Frankfurt and point to prospects for regional reform.