Home bias in multimarket Cournot games

We explore the role of trade costs for the home bias in trade. In a series of Cournot duopoly experiments with a home and an export market, we compare output choices when firms face different levels of trade costs. We find that there is two-way trade in identical products and that firms hold the majority market share in their home market. The resulting home bias turns out to be, however, stronger than that predicted by theory, and it even occurs without trade costs. Tacit collusion contributes to the home bias observed in our experiment but does not offer a full explanation for the phenomenon.     

How do neighboring peer companies influence SMEs’ financial behavior?

Recent research into corporate finances has found that the financial decisions of peer companies are related. Companies tend to “kept an eye” on the decisions of other peer companies, among other things, trying to overcome the limitations caused by the lack of information. This paper further examines these interactions including geographical proximity among companies. With this aim, we use a heterogeneous Partial Adjustment Model on a sample of 12,444 small and medium Spanish manufacturing industrial companies. We find strong nonlinearities in the adjustment processes of liquidity, indebtedness and profitability ratios associated with basic characteristics of the companies such as size, technology, age or financial imbalances. Our results indicate that the influence of the environment on the financial behavior of each company, and its responsiveness, vary in function of neighbor firms’ characteristics.     

Increasing the resilience of air traffic networks using a network graph theory approach

Air traffic networks are essential to today’s global society. They are the fastest means of transporting physical goods and people and are a major contributor to the globalisation of the world’s economy. This increasing reliance requires these networks to have high resilience; however, previous events show that they can be susceptible to natural hazards. We assess two strategies to improve the resilience of air traffic networks and show an adaptive reconfiguration strategy is superior to a permanent re-routing solution. We find that, if traffic networks have fixed air routes, the geographical location of airports leaves them vulnerable to spatial hazard.     

Spatial distribution characteristic of Chinese airports: A spatial cost function approach

This paper uses spatial econometric models to analyze the spatial distribution of Chinese airports from 2002 to 2012, taking into consideration the factors that explain the distribution of airports around the country. A cost function allowing for latitude and longitude is estimated based on spatial location, which leads us to advise the implementation of policies that take into account the spatial distribution of the airports. Results show that the development of airports in China needs to consider the spatial relationship among the many different regions of China. To improve the cost efficiency, airports should be located in more economically developed areas. Meanwhile, it also helps to reduce the cost when listing on the stock market.     

创新要素空间集聚模式演进机制研究

运用空间辐射效应、空间吸纳效应和空间闭塞效应，分析区域创新要素空间集聚模式演进机制，利用探索性空间数据分析方法对浙江省11个地级市创新要素集聚现状进行实证分析，进一步从实践中挖掘了这种空间集聚模式演变路径。结果表明，区域创新要素集聚程度首先受地区与邻近区域创新要素集聚空间关联程度的影响；其次，空间关联度在多重空间效应推动下往往呈现出逐渐增强的趋势，且促使创新要素从空间无序分布状态逐渐向创新要素高度集聚地区与高度集聚地区靠拢、低度集聚地区向低度集聚地区聚合的有序分布态势跃迁，从而导致地区经济发展和技术创新的空间失衡。     

On the spatial scale of industrial agglomerations

Standard approaches to studying industrial agglomeration have been in terms of scalar measures of agglomeration within each industry. But such measures often fail to distinguish spatial scales of agglomeration. In a previous paper, Mori and Smith (2014) proposed a pair of quantitative measures for distinguishing both the scale and degree of industrial agglomeration based on an explicit method for detecting spatial clusters. The first, designated as the global extent of industrial clusters, measures the spatial spread of these clusters in terms of the areal size of their essential containment, defined to be the (convex-solid) region containing the most significant subset of these clusters. The second, designated as the local density of industrial clusters, measures the spatial extent of individual clusters within their essential containment in terms of the areal share of that containment occupied by clusters. The present paper applies this pair of measures to manufacturing industries in Japan, and the results obtained are systematically compared to those of the most prominent scalar measures currently in use. Finally, these measures are shown to support certain predictions of new economic geography models concerning the relationship between shipment distances and spatial scales of agglomeration for individual industries.     

Optimal agglomerations in dynamic economics

We study rational expectations equilibrium problems and social optimum problems in infinite horizon spatial economies in the context of a Ramsey type capital accumulation problem with geographical spillovers. We identify sufficient local and global conditions for the emergence (or not) of optimal agglomeration, using techniques from monotone operator theory and spectral theory in infinite dimensional Hilbert spaces. We show that agglomerations may emerge, with any type of returns to scale (increasing or decreasing) and with the marginal productivity of private capital increasing or decreasing with respect to the spatial externality. This is a fairly general result indicating the importance of the network structure of the spatial externality relative to the properties of the aggregate production function. Our analytical methods can be used to systematically study optimal potential agglomeration and clustering in dynamic economics.     

A GIS-based spatial statistical approach to modeling job accessibility by transportation mode: case study of Columbus,Ohio

Improving job accessibility based on transport connectivity helps to address equity issues. Spatial autocorrelation (SA) is also a focus of interest in transportation planning, but has been neglected in analyzing job accessibility in metropolitan areas. In this study, GIS-based job accessibilities by walking, transit, and car are computed for the metropolitan area of Columbus, Ohio, and three transport-based spatial autoregressive (SAR) models are estimated to account for the SA of job accessibility among neighboring block groups, while controlling for built-environment and socioeconomic factors. SA intensities and extents are compared in order to better understand local spatial clusters of job accessibility across the region. Direct and indirect spillover effects due to an investment change in transportation facilities are estimated and provide important transportation planning information. The results also show that walking-accessed jobs are primarily related to physical settings (e.g., land uses) at the local level. Locations with a higher share of zero-vehicle housing units have better job accessibility by transit. There is a spatial mismatch between Asian population clusters and transit-accessed jobs, possibly because of the car-oriented residential clusters around Honda of America Manufacturing in suburban areas. More importantly, locations with a higher share of single-parent households are at a disadvantage in overall job accessibility. Due to its complex transportation needs, a society friendly to single parents should spatially integrate accessible jobs with other needed activities via land-use and transportation planning. Alternatively, car-ownership programs and non-spatial social supports also might be effective to help secure job opportunities and perform daily life activities.     

城市化驱动经济增长的空间计量分析:2000～2009

本文以一种地理空间的视角,采用探索性空间数据分析,考察了中国内地31个省域城市化对经济增长驱动作用的大小。实证研究的结果表明,各个省域城市化和经济增长均存在着空间自相关;城市化率对经济增长贡献逐渐增大;城市消费对经济增长拉动作用显著,但进一步上升的速度缓慢;城市投资推动经济增长的迹象逐步显现;城市政府支出对经济增长的作用在不断减小。另外,本文在研究中还发现,与空间计量模型相比,普通回归模型由于忽略了空间因素,存在着不同的高估或低估现象。     

Stakeholders perception of attitudes towards major landscape changes held by the public: The case of greenhouse clusters in Flanders

The intensification of greenhouse horticulture is a notable trend in many regions around the world. This intensification causes the grouping of large-scale greenhouses on a single site, into so-called ‘greenhouse clusters’. The main incentive for clustering is the reduction of production costs by sharing infrastructure such as energy, water and gas facilities. Despite these advantages, the public remains sceptic towards greenhouse clusters and resistance in Flanders is frequent and often fierce. The objective of this research is to obtain insight into the reasons, underlying motives and processes that steer this resistance as they are perceived by the agricultural sector. A grounded theory approach resulted in a comprehensive scheme that visualizes the public resistance towards greenhouse clusters as perceived by stakeholders in the agricultural sector, and as such the scheme includes factors that are probably also seen as key factors for the resistance among the stakeholders. Our research shows that the protest actions are complex and cannot be attributed to a single concept such as the NIMBY-concept that is still often put forward by politicians, planners and investors.