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.     

Education and income attraction: an online dating field experiment

Prior studies have found a robust correlation in the education of dating and married couples. However, there is little evidence to suggest that such correlations are causal, that is, for the sake of relationship public goods such as the pleasures of the enlightened conversations that only a common high level of education might support. Being empirical studies, they cannot rule out couples matching on other characteristics like income, height or health, which are correlated with education, from driving results. We contribute to this literature by randomly assigning high and low education and income levels to 388 artificial male and female profiles on a large online dating website in China. We then counted thousands of ‘visits’ – clicks on abbreviated profiles, which included education and income information, from search engine results. We found that men’s visits to female profiles were unaffected by the profile’s assigned education level, while women’s visits to male profiles increase with the profile’s education. However, that increase was not increasing on the women’s own level of education, though their visits to the higher income male profiles was increasing on their own education. Our findings suggest that the relationship public goods that stem from a common level of high education are not at the forefront of either men’s or women’s minds before their first dates, when one might expect such goods to play a critical role in the decision to develop the relationship further.     

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.     

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.     

Self‐Directed Pensions: Gender,Risk, and Portfolio Choices*

In this paper, I investigate gender differences in financial risk‐taking from a new perspective, and I show that gender plays a different role across the risk distribution. To evaluate risk‐taking, I exploit portfolio choices following a reform that entitles almost the entire Swedish workforce to choose a risk profile for a part of their public‐pension contributions. The novel finding is that portfolio risk does not differ much between the men and women who choose less risky portfolios, while the men who choose risky portfolios take on significantly more risk than do the women who choose risky portfolios. The findings are robust to investors choosing the default alternative, chasing past returns, rebalancing, and different measures of risk‐taking.     

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.     

江苏省医药制造业竞争力的动态偏离-份额模型研究——基于传统模型和空间模型的比较分析

动态偏离-份额传统模型只简单分析国家对研究区域发展的影响,认为研究区域和该国内的其他区域是孤立的。动态偏离-份额空间模型引入了区域与邻近区域之间存在空间相互作用,同时考虑国家、邻近区域对研究区域的综合作用。本文构建了江苏省医药制造业动态偏离-份额模型,将其应用到江苏省2004～2009年医药制造业经济增长分析中,对比传统模型和空间模型结果中的竞争偏离分量,进而提出提高江苏省医药制造业竞争力的建议。