Parental choice and the rural primary school: Lifestyle,locality and loyalty

This paper discusses the geography of parental choice in a rural locale and shows how a group of parents negotiated their way through the process of primary school choice. Using ethnographic data collected through interviews and observations with parents and staff from three rural primary schools in England, the research utilises Bourdieu's concepts of capital, habitus and field to show how the resources and values the parents held affected the school choices they made. The paper demonstrates that the longer-term resident local parents were influenced not only by their cultural capital but also by familial ties and an emotional commitment to the rural locale and these parents were therefore more inclined to support their local school. In contrast, the more recent newcomer parents used their cultural capital and spatial power to shop around to find what they believed to be the ‘right’ school. The paper argues that the newcomer parents had less allegiance to place and hence to the symbolic position that the school holds within the rural community within which they lived.     

Does geographical proximity matter in determining the profitability of banks?

Despite the existence of a burgeoning literature on bank profitability, yet, none of them gave due consideration to geographical proximity. I fulfill such a gap by analyzing the effects of COVID-19 on the profitability of top-rated banks. Findings confirm the prevalence of spatial dependence at both the global and sub-global with feedback effects being systematically higher than spillover effects. My study uncovers evidence of a COVID-19 induced decline in asset utilization. Findings advocate sharing economy as a potential tool to banks in combating any future pandemic risk with regionalized approach to supervision being deemed better than its globalized counterpart.     

BECOMING HONG KONG,RAZING BAOAN,PRESERVING XIN'AN: AN ETHNOGRAPHIC ACCOUNT OF URBANIZATION IN THE SHENZHEN SPECIAL ECONOMIC ZONE

Located just north of Hong Kong, Shenzhen, the largest and oldest of China's Special Economic Zone (SEZ) has been both a project and symbol of post-Mao modernization. In this paper, I trace how the Shenzhen built environment mediates images and experiences of ‘Hong Kong’, arguing that transnationality in the SEZ is an everyday practice where tradition, colonialism, and the Cold War provide raw materials for the local reworking of the changing relationship between the Chinese state apparatus and finance capital. My story has a double focus: the ideology of urbanization as modernization and historic preservation. On the one hand, the ideology of urbanization-as-modernization legitimates a spatial order in which the rural is always posed to be superseded by the urban. Both the rural and the urban are empty signifiers that are created through comparison and deployed to guide action. In this important sense,‘Hong Kong’ has been urban with respect to rural ‘Shenzhen’ (formerly Baoan County), even as ‘Shenzhen’ has been urban with respect to the Chinese hinterland (neidi). On the other hand, historic preservation domesticates ‘Hong Kong’ as Shenzhen's past through the figure of Xin'an County, the geographic predecessor of both Shenzhen and Hong Kong. These complimentary displacements produce a nostalgia peculiar to the SEZ: a desire for a past that entitles contemporary Shenzhen residents to Hong Kong's prosperity. This nostalgia is structured with reference to a shared origin - Xin'an County - where Hong Kong's postwar history (1950–1979) becomes the past that Shenzhen (rural Baoan) would have had, if not for a cruel twist of socialist fate.     

A class of distribution-free tests for two-way layout

In this article a class of distribution-free tests for the hypothesis of no row (treatment) effect in a two-way layout design, with several observations per cell, is proposed. The tests are based on U-statistics, constructed by considering minima of all possible subsamples of same size from each cell.The proposed class of tests is compared with the parametric test, Mack and Skillings test and Yate's test for two-way layout, in terms of Pitman ARE sense. It is seen that for the case of equal number of observations per cell, the proposed tests have better efficiency for exponential and uniform error distributions.     

Small area estimation: the EBLUP estimator based on spatially correlated random area effects

This paper deals with small area indirect estimators under area level random effect models when only area level data are available and the random effects are correlated. The performance of the Spatial Empirical Best Linear Unbiased Predictor (SEBLUP) is explored with a Monte Carlo simulation study on lattice data and it is applied to the results of the sample survey on Life Conditions in Tuscany (Italy). The mean squared error (MSE) problem is discussed illustrating the MSE estimator in comparison with the MSE of the empirical sampling distribution of SEBLUP estimator. A clear tendency in our empirical findings is that the introduction of spatially correlated random area effects reduce both the variance and the bias of the EBLUP estimator. Despite some residual bias, the coverage rate of our confidence intervals comes close to a nominal 95%.     

On LSE in regression model for long-range dependent random fields on spheres

We study the asymptotic behaviour of least squares estimators (LSE) in regression models for long-range dependent random fields observed on spheres. The LSE can be given as a weighted functional of long-range dependent random fields. It is known that in this scenario the limits can be non-Gaussian. We derive the limit distribution and the corresponding rate of convergence for the estimators. The results were obtained under rather general assumptions on the random fields. Simulation studies were conducted to support theoretical findings.     

Modelling daily multivariate pollutant data at multiple sites

Summary. This paper considers the spatiotemporal modelling of four pollutants measured daily at eight monitoring sites in London over a 4-year period. Such multiple-pollutant data sets measured over time at multiple sites within a region of interest are typical. Here, the modelling was carried out to provide the exposure for a study investigating the health effects of air pollution. Alternative objectives include the design problem of the positioning of a new monitoring site, or for regulatory purposes to determine whether environmental standards are being met. In general, analyses are hampered by missing data due, for example, to a particular pollutant not being measured at a site, a monitor being inactive by design (e.g. a 6-day monitoring schedule) or because of an unreliable or faulty monitor. Data of this type are modelled here within a dynamic linear modelling framework, in which the dependences across time, space and pollutants are exploited. Throughout the approach is Bayesian, with implementation via Markov chain Monte Carlo sampling.     

新加坡组屋建设研究

公共住房是公益性和福利性住房,成为维护社会稳定和服务民生保障的重要基础。在新型城镇化时期,公共住房研究焦点已经不是“建与不建”和“建多建少”的问题,而是“怎么建好”和“怎么用好”的问题。通过详细分析公共住房申请者和使用受众对使用前后的评价,汇总出公共住房在建设过程中存在的问题,明确公共住房受众的居住需求。基于规划布局、功能设计和服务能力角度,提出完善我国公共住房建设质量的具体措施,更好地实现以人为核心的新型城镇化目标。     

A multivariate time series model for the analysis and prediction of carbon monoxide atmospheric concentrations

We use a Bayesian multivariate time series model for the analysis of the dynamics of carbon monoxide atmospheric concentrations. The data are observed at four sites. It is assumed that the logarithm of the observed process can be represented as the sum of unobservable components: a trend, a daily periodicity, a stationary autoregressive signal and an erratic term. Bayesian analysis is performed via Gibbs sampling. In particular, we consider the problem of joint temporal prediction when data are observed at a few sites and it is not possible to fit a complex space–time model. A retrospective analysis of the trend component is also given, which is important in that it explains the evolution of the variability in the observed process.