Linear scalar-on-surface random effects regression models

Many research fields increasingly involve analyzing data of a complex structure. Models investigating the dependence of a response on a predictor have moved beyond the ordinary scalar-on-vector regression. We propose a regression model for a scalar response and a surface (or a bivariate function) predictor. The predictor has a random component and the regression model falls in the framework of linear random effects models. We estimate the model parameters via maximizing the log-likelihood with the ECME (Expectation/Conditional Maximization Either) algorithm. We use the approach to analyze a data set where the response is the neuroticism score and the predictor is the resting-state brain function image. In the simulations we tried, the approach has better performance than two other approaches, a functional principal component regression approach and a smooth scalar-on-image regression approach.     

Integrated nested Laplace approximation for the analysis of count data via the combined model: A simulation study

The combined model accounts for different forms of extra-variability and has traditionally been applied in the likelihood framework, or in the Bayesian setting via Markov chain Monte Carlo. In this article, integrated nested Laplace approximation is investigated as an alternative estimation method for the combined model for count data, and compared with the former estimation techniques. Longitudinal, spatial, and multi-hierarchical data scenarios are investigated in three case studies as well as a simulation study. As a conclusion, integrated nested Laplace approximation provides fast and precise estimation, while avoiding convergence problems often seen when using Markov chain Monte Carlo.     

适应性网络空间抽样的设计及估计研究

随着大数据背景下抽样环境复杂化,特别是3S技术（遥感技术、地理信息系统和全球定位系统）日趋成熟,越来越多社会经济问题涉及空间抽样,其样本呈现出规模相对稀少、分布不均匀、局部聚集的特征,使得传统抽样调查面临着严重挑战。本文介绍了适应性抽样技术应用于空间网络环境的基本原理、主要操作步骤和马尔可夫链蒙特卡罗估计推断,并以广州市天河区的商户抽样为例讨论实际操作中应注意的问题,以期为流动人口、环境污染、区域经济研究等方面调查提供理论支撑和实证方法参考。     

The New Spatial Planning Act in Taiwan: A Messy Shift from Economic Development-Oriented Planning to Environmental Conservation-Oriented Planning?

On 18 December 2015, the spatial planning bill was finally passed by the Legislative Yuan in Taiwan. That was a special moment for planning community and authority since they had anticipated this moment for more than two decades. However, this is not the end of the story. On the contrary, the battle between the economic development promoters and environmental conservation supporters just starts. The Act introduces several new changes to secure its goal of nationwide sustainable development, but the introduction also raises some tensions. This article reviews the tensions and their socio-political context, and gives some suggestions to the Taiwanese government.     

中国教育资源市场化与个体选择：初中课外补习效应异质性探究

本文在中国教育资源市场化的背景下,探究了初中课外补习对学业成绩的效应异质性及其对教育公平的启示。通过分析“中国教育追踪调查”（CEPS）的数据发现,从同质性效应来看,参加课外补习对于提升初中生学习成绩没有显著影响,但参与课外补习的倾向性影响其效应异质性。课外补习有助于提高倾向性处于中间水平学生的学习成绩,表明课外补习受益学生大多来自学习成绩中等的普通工薪家庭。对于倾向性较低的大多数相对弱势的家庭和倾向性较高的少数优势家庭而言,课外补习对学业成绩的作用微乎其微。研究表明,中国教育领域的市场化变革和相关政策的制定需要考虑个体教育选择的复杂性及其对教育公平所造成的深刻影响。     

心理资本:组织竞争优势之源

从心理资本的概念与构成维度、心理资本的测量与干预、心理资本的影响效应研究三个方面对心理资本做了阐述。在对国内外现有文献进行回顾和评述的基础上,指出现有研究的不足,提出了对未来的展望。     

虚拟社会与道德构建

随着网络的普及 ,虚拟社会中人们的思想、行为、生存方式都发生了新的变化。虚拟社会具有虚拟性、自由性、开放性、非人性化的特点 ;虚拟社会的自由和民主精神、权利意识和平等意识、自主精神、奉献精神、开放思想为道德建设提供了新的生长点 ,但同时带来了一系列负效应。因此 ,道德建设要采取一系列相应的措施 ,以构造文明虚拟社会     

中国房价波动的福利效应研究进展

近年来房价上涨与居住福利的关系备受关注,虽然国内研究不如国外深入,但一些切合中国实际的研究应积极推进。综合来看,国内主要采用古典度量法、计量经济模型法和效用函数法来测度福利变化,其实证结论有三种倾向——不显著、正向或负向影响,但大多数文献认为高房价造成了居民福利损失,经济适用房政策有待改进。     

行政行为效力体系理论的回顾与反思

行政行为效力理论研究是行政法学领域最为薄弱的环节之一,学术界对于行政行为效力基本概念的理解及理论术语的运用仍存在较大分歧,还没有形成一个科学、完整的概念体系.我们认为,行政行为效力体系的构建不仅要有理论自身的自洽性,而且要能够揭示行政行为效力的本质属性,体现行政管理的特色.就行政决定的效力内容体系而言,可划分为存续力、既决力和实现力;行政决定的效力具有相对性和动态性.