Bias correction for parameter estimates of spatial point process models

When a spatial point process model is fitted to spatial point pattern data using standard software, the parameter estimates are typically biased. Contrary to folklore, the bias does not reflect weaknesses of the underlying mathematical methods, but is mainly due to the effects of discretization of the spatial domain. We investigate two approaches to correcting the bias: a Newton–Raphson-type correction and Richardson extrapolation. In simulation experiments, Richardson extrapolation performs best.     

高新企业并购中的人力资源整合管理

在产业升级、结构调整以及经济一体化等因素的推动下,我国高新技术企业的并购规模和数量一直呈现不断上升趋势,并购的地域范围不再限于国内,全球范围的并购案例也迅速增长。越来越多的高新技术企业寻求通过并购方式来提高企业核心竞争能力,谋求企业的可持续发展。然而,并非所有的并购都能成功。     

论现代性视域中红色资源的整合与转化

随着社会生活和人们思想观念的深刻变迁,主要形成于革命战争时期的红色资源在一定程度上面临着被边缘化的危险趋势。要扭转这一趋势,使红色资源在当代发挥其应有的社会文化功能,就必须在现代性视域中深入分析导致其边缘化的社会文化根源,并从而在此基础对其进行符合时代要求的整合与转化。与此同时,还须进一步明确红色资源的传承与弘扬主体,以发挥其重要的示范带头作用。     

城市经济圈发展助推区域一体化——兼论南沙新区与港澳的经济合作

根据区域一体化理论,结合新时期广东省在推进珠三角一体化中,建立和发展广佛肇、深莞惠和珠中江三个经济圈的实践,分析了区域经济一体化对区域整体发展的新意义、地位和作用,讨论了珠江三角洲通过建设和发展若干个以经济发展为核心的现代都市圈,对于新时期加强与港澳经济合作,促进区域经济一体化的更好发展颇具深远的意义和作用。     

Ranking and estimation of related means in two—way models—a Bayesian approach

A hierarchical Bayesian approach to ranking and selection as well as estimation of related means in two—way models is considered. Using the method of Monte Carlo simulation with importance sampling, we are able to carry out efficiently the three or four dimensional integrations as needed. An example is included to illustrate the methodology.     

Work-related drinking and processes of social integration and marginalization in two Norwegian workplaces

The aim of this study was to investigate the role of drinking in two Norwegian workplaces, focusing on how the drinking may contribute to both social integration and marginalization of employees. The two workplaces were a division of a multinational oil company and a public library both located in one of Norway's larger cities. Data were collected through ethnographic fieldwork, including using participant observation, qualitative interviews, and brief surveys. Work-related drinking was found to be common in both workplaces and played a significant role in a wide range of social situations in the twilight zone between normal working hours and leisure. Drinking was regulated by dominant workplace alcohol cultural ideals, but also involved opposition to these ideals. The results of this study have demonstrated that different forms of drinking (and non-drinking) may lead to both social integration and marginalization – or even exclusion of groups of employees or individual employees.     

The myth of price convergence under economic integration: A proposed explanation for the difference in food prices across European countries

Conventional globalization theory states that regional economic integration will precede price standardization across participating countries due to the increased buying power of large retail groups and parallel imports. The resulting price corridor should merely reflect differences in logistic costs and short-term, local competitive actions. Yet, this study uses panel data from 25 European countries to examine how hefty food and beverage price differentials between regions remained constant over the last decade. Income, store productivity, and market concentration all contribute to the explanation for regional price differences. These findings suggest that, contrary to straight-line globalization theory, large European retailers’ decisions can influence price convergence and maintain important price dispersion between economically integrated countries. We provide recommendations to enhance market integration.     

从教师专业实践能力发展反观高校与幼儿园的双向融合

当前，打通高校教师理论研究与基层一线教师专业发展瓶颈是总体提升我国教育质量的高效之举，教育的实践性本质也决定了高校教师的理论研究与一线教师的教育实践必须坚持双向融合的道路。实现校园双向融合既要积极构建教师发展共同体，还要积极探索有深度和广度的教研机制，并搭建开放、多元、创新的资源平台。     

Numerical evaluation of tests based on different heteroskedasticity-consistent covariance matrix estimators

This article considers the issue of performing tests in linear heteroskedastic models when the test statistic employs a consistent variance estimator. Several different estimators are considered, namely: HC0, HC1, HC2, HC3, and their bias-adjusted versions. The numerical evaluation is performed using numerical integration methods; the Imhof algorithm is used to that end. The results show that bias-adjustment of variance estimators used to construct test statistics delivers more reliable tests when they are performed for the HC0 and HC1 estimators, but the same does not hold for the HC3 estimator. Overall, the most reliable test is the HC3-based one.