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.     

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.     

论红三角地区生态旅游的可持续发展

红三角地区具有旅游合作的良好基础,拥有丰富的生态旅游资源,本文分析了红三角地区发展生态旅游的优势及存在的问题,并提出了相应的可持续发展思路。     

The use of GIS in informal settlement upgrading: its role and impact on the community and on local government

The Urban Geographical Information Systems (GIS) Group within the Department of Civil Engineering at the University of Cape Town has been coordinating a pilot informal settlement upgrading in Cape Town since 1998. The project objective has been the evolution of a model-based approach to informal settlement upgrading that is both structured and replicable. It was felt that the only way this could be achieved was through the use of a spatial data management system operated through a GIS system. The spatial database has been used for all facets of data collection and data process and forms the basis for all decision-making. Thus it covers all physical data pertaining to the site, cadastral and shack data, demographic and socio-economic data (with an in-depth review of every household) economic opportunities and physical planning and design data. The result is a comprehensive, integrated, settlement upgrading methodology that is built upon a GIS-based spatial data management framework. Such a framework is seen as the basic building block for large-scale informal settlement upgrading.     

改善全息圆锥准直线及提高准直精度的一种方法

用一张计算全息图可产生锥面波,锥面波衍射图样的中心在空间是连续的,可作为直线基准。本文提出了提高锥面波直线准直精度的一种方法即空间滤波法。实验结果与理论分析一致。     

“一核多元”型社区综合整治合作生产模式研究 ———以北京市 J 社区为例

老旧小区综合整治事关公众切身利益,体现国家服务效能与治理能力。 基于合作生产理论、公共价值和战略三角模 型间关系,从党建引领视角提出“一核多元”型综合整治合作生产模式。 以北京市 J 社区为例,采用张力分析工具,从使命管 理、政治管理与运营管理层面建构综合整治张力分析模型。 分析发现,党建引领的综合整治合作生产可促进社区合作生产网 络的形成与发展,这对社区治理模式创新与社区治理共同体建设具有重要意义。     

基于高校知识三角的产学研协同创新实证研究——自组织视角

产学研协同创新体现了系统集成的思想,本文以协同学为基础,从自组织理论视角分析了高校创新能力在产学研协同创新过程中的动态演化规律。研究表明:复杂性科学可以有效地解决公共管理问题的不确定性,本文以具有自组织特征的"B-Z"反应模型为基础,建立了高校知识生产能力、知识传播能力和知识转移能力构成的Logistic模型,通过稳定性分析与仿真模拟,讨论了高校三个能力子系统在产学研协同创新过程中的演化规律,并进一步确定了主导能力要素的序参量模型,并且对我国31所高校在产学研协同创新过程中的演化规律进行了验证性实证分析。本文的研究为我国研究型大学通过调整内部能力结构促进产学研协同创新提供了定量的分析视角与科学的政策讨论依据。     

Designing and integrating composite networks for monitoring multivariate gaussian pollution fields

Networks of ambient monitoring stations are used to monitor environmental pollution fields such as those for acid rain and air pollution. Such stations provide regular measurements of pollutant concentrations. The networks are established for a variety of purposes at various times so often several stations measuring different subsets of pollutant concentrations can be found in compact geographical regions. The problem of statistically combining these disparate information sources into a single 'network' then arises. Capitalizing on the efficiencies so achieved can then lead to the secondary problem of extending this network. The subject of this paper is a set of 31 air pollution monitoring stations in southern Ontario. Each of these regularly measures a particular subset of ionic sulphate, sulphite, nitrite and ozone. However, this subset varies from station to station. For example only two stations measure all four. Some measure just one. We describe a Bayesian framework for integrating the measurements of these stations to yield a spatial predictive distribution for unmonitored sites and unmeasured concentrations at existing stations. Furthermore we show how this network can be extended by using an entropy maximization criterion. The methods assume that the multivariate response field being measured has a joint Gaussian distribution conditional on its mean and covariance function. A conjugate prior is used for these parameters, some of its hyperparameters being fitted empirically.     

Binary probability maps using a hidden conditional autoregressive Gaussian process with an application to Finnish common toad data

The Finnish common toad data of Heikkinen and Hogmander are reanalysed using an alternative fully Bayesian model that does not require a pseudolikelihood approximation and an alternative prior distribution for the true presence or absence status of toads in each 10 km×10 km square. Markov chain Monte Carlo methods are used to obtain posterior probability estimates of the square-specific presences of the common toad and these are presented as a map. The results are different from those of Heikkinen and Hogmander and we offer an explanation in terms of the prior used for square-specific presence of the toads. We suggest that our approach is more faithful to the data and avoids unnecessary confounding of effects. We demonstrate how to extend our model efficiently with square-specific covariates and illustrate this by introducing deterministic spatial changes.     

高等教育布局结构优化的理论前提

作为经济社会发展的重要助推力量,高等教育布局结构优化的影响因素是多维的,主要包括国家战略、区域经济、社会文化、人口结构以及地理空间等等.科学预设高等教育布局结构优化的应然目标,需要正视布局结构优化的目标限度,并重点从"社会满足度"和"个体满足度"两个方面予以考量.实施高等教育布局结构的优化,需要甄选多向度的优化理路,实...