Prices,policies, and place: What drives greenfield development?

While the recent global financial crisis heightened awareness of the linkages between global financial capital and urban spatial pattern, the timing of urban development – largely thought to be market driven – is not fully understood. Parcel-level studies of urban land-use change, which often use hazard models to investigate if and when development occurs, offer an opportunity to juxtapose the extent to which decisions to develop individual plots of farmland into housing are driven by market forces, the unique characteristics of the land and its intraurban location, or policies such as transportation infrastructure and municipal annexation. Using residential completion data in the Phoenix, Arizona region from 1992 to 2014, a period of dramatic commodity, fuel, and home price swings, and land cover imagery, we develop a parcel-level hazard model to gauge the relative impacts of market, policy, and place-based drivers of land change. We find limited evidence of induced development associated with freeway planning, that annexation and development are closely linked and moreso during economic booms, high fuel prices spur development in the region's core, and agricultural and urban land rents affect the timing of development. This study advances our understanding of development decision- making, policy impacts, and urban land-use change modeling and provides an empirical connection between local and global drivers of Greenfield development.     

Managing technology licensing for stochastic R&D: from the perspective of an enterprise information system

Enterprise information technology (IT) plays an important role in technology innovation management for high-tech enterprises. However, to date most studies on enterprise technology innovation have assumed that the research and development (R&D) outcome is certain. This assumption does not always hold in practice. Motivated by the current practice of some IT industries, we establish a three-stage duopoly game model, including the R&D stage, the licensing stage and the output stage, to investigate the influence of bargaining power and technology spillover on the optimal licensing policy for the innovating enterprise when the outcome of R&D is uncertain. Our results demonstrate that (1) if the licensor has low (high) bargaining power, fixed-fee (royalty) licensing is always superior to royalty (fixed-fee) licensing to the licensor regardless of technology spillover; (2) if the licensor has moderate bargaining power and technology spillover is low (high) as well, fixed-fee (royalty) licensing is superior to royalty (fixed-fee) licensing; (3) under two-part tariff licensing and the assumption of licensors with full bargaining power, if a negative prepaid fixed fee is not allowed, two-part tariff licensing is equivalent to royalty licensing which is the optimal licensing policy; if negative prepaid fixed fee is allowed, the optimal policy is two-part tariff licensing.     

Estimating the J function without edge correction

The interaction between points in a spatial point process can be measured by its empty space function F , its nearest-neighbour distance distribution function G , and by combinations such as the J function J = (1 G )/(1 F ). The estimation of these functions is hampered by edge effects: the uncorrected, empirical distributions of distances observed in a bounded sampling window W give severely biased estimates of F and G . However, in this paper we show that the corresponding uncorrected estimator of the function J = (1 G )/(1 F ) is approximately unbiased for the Poisson case, and is useful as a summary statistic. Specifically, consider the estimate _W of J computed from uncorrected estimates of F and G . The function J _W ( r ), estimated by _W , possesses similar properties to the J function, for example J _W ( r ) is identically 1 for Poisson processes. This enables direct interpretation of uncorrected estimates of J , something not possible with uncorrected estimates of either F , G or K . We propose a Monte Carlo test for complete spatial randomness based on testing whether J _W ( r ) 1. Computer simulations suggest this test is at least as powerful as tests based on edge corrected estimators of J .     

The Spatial Pattern of Residential Mobility in Guangzhou,China

In urban China, residential mobility behaviors have changed fundamentally in recent decades. While research has been undertaken on the trends and causes of residential relocation for different population groups, less attention has been paid to micro‐level processes of residential change, yet the latter underscore urban dynamics. This study addresses this through a survey conducted in Guangzhou in late 2012, which analyzes the spatial flows of residential shifts within and between three distance zones—inner core, inner suburbs and outer suburbs—to reveal complex mobility trends. In particular, hukou or household registration status, socio‐economic status, the nature and rank of employment, and tenure were found to have varied effects on the probability of inward and outward shifts. More specifically, while outward shifts in recent years mainly involved local hukou holders, families with higher education levels, a higher socio‐economic status or those working for government departments and public institutions were found to be more likely to settle in high‐rise commodity housing in the inner core. The majority of non‐hukou migrants, by contrast, moved within the same street or between adjacent streets within the same suburban area, while age, socio‐economic status and homeownership were found to increase an individual's chance of an inward shift.     

A Theory of Socio‐spatial Integration: Problems,Policies and Concepts from a US Perspective

Discussions about socio‐spatial integration in the US have been primarily focused on research into residential segregation. The treatment of these two concepts as opposites has had two consequences. First, most policies for integration have been based solely on concepts of segregation. Second, the intensive criticism directed at integration flows more from those policies than from its conceptual meaning. This article develops a framework for socio‐spatial integration. It does this first by outlining an understanding of segregation and the complexities of its treatment, then by making a distinction between policy applications and the conceptual meaning of integration. This review shows that, rather than suiting a linear approach, socio‐spatial integration can be expressed as a multidimensional relationship that may work independently and at different scales. Socio‐spatial integration is then exposed as the opposite of social exclusion, of which physical proximity between different social groups is just one dimension. Two lines of research are proposed: first, a repositioning of integration as a progressive aspiration and a critique of naturalist conceptions; second, a balancing of the weight of spatial proximity among the different dimensions of integration.     

Transmission of Stock Returns and Volatility between the U.S. and Japan: Evidence from the Stock Index Futures Markets

In this paper, we examine the nature of transmission of stock returns and volatility between the U.S. and Japanese stock markets using futures prices on the S&P 500 and Nikkei 225 stock indexes. We use stock index futures prices to mitigate the stale quote problem found in the spot index prices and to obtain more robust results. By employing a two-step GARCH approach, we find that there are unidirectional contemporaneous return and volatility spillovers from the U.S. to Japan. Furthermore, the U.S.'s influence on Japan in returns is approximately four times as large as the other way around. Finally, our results show no significant lagged spillover effects in both returns and volatility from the Osaka market to the Chicago market, while a significant lagged volatility spillover is observed from the U.S. to Japan. This revised version was published online in August 2006 with corrections to the Cover Date.     

我国经济格局与收入差距演变关系探讨

对区位基尼系数和收入基尼系数的计算方法讨论后,利用区位基尼系数考查了近年来我国大陆地区经济活动空间格局的变化状况；探讨了混合样本总体收入基尼系数的计算方法,并据此分析了2002-2010年我国收入差距的演变特征.研究发现,2006年前区位基尼系数单调上升,2006年后区位基尼系数单调下降,说明近年我国经济活动集聚与扩散的拐点出现在2006年；而在2002-2010年收入基尼系数表现出波动上升的特征.研究认为,我国经济格局变化对收入差距演变产生滞后影响,相比于区域经济差距问题,缓解收入差距扩大显得更加紧迫.     

The effects of the frequency of spatially proximate and distant interaction on innovation by Irish SMEs

This paper tests whether more frequent interaction at different spatial levels has a positive effect on the innovation performance of small- and medium-sized enterprises (SMEs) in the South-West and South-East of Ireland. Based on an original survey, it finds that more frequent interaction generally increases innovation likelihood, but at a diminishing rate, thus suggesting a trade-off between resources dedicated to transforming knowledge into new products and processes. Spatially distant interaction is found to be at least as valuable as proximate interaction, which questions the received wisdom that the best sources of knowledge are regional. Given the value of distant interaction, the results indicate that regional lock-in may be an obstacle to superior innovation performance of SMEs.     

区域合作、竞争对创新绩效的促进作用分析——基于高技术产业的实证研究

基于长三角地区1996-2008年高技术产业发展的相关数据,使用新产品销售收入占总销售收入的比例作为创新绩效的替代指标,实证结果表明,内生创新努力、出口和技术引进对创新绩效存在正向推动作用。同时,地区之间的竞争、合作对创新绩效影响的研究表明:一方面,地区、企业之间的合作所产生的本土技术溢出效应能有效提升高技术产业的创新绩效;另一方面,相对均衡的地区间产业格局所产生的竞争因素也是影响高技术产业创新绩效的重要因素。