挣脱生态牢笼的路径探幽——《共产党宣言》中马克思生态思想解读

《共产党宣言》蕴含着深刻的生态思想,其体系以人、社会、自然整体为背景,其核心观点认为生态问题是由资本主义生产方式引起的.马克思在唯物史观视野下,科学论证了资产阶级的所有制必然灭亡、共产主义必然实现的历史发展逻辑,廓清了人与人、人与自然之间双重和解的演化路径.其中关于科技提升、市场拓展、交通和通信发展等引起世界市场“生态扩张”的思想,对全球化程度日益加深境况下“生态文明”和“人类命运共同体”的构建具有重大的理论和实践指导价值.     

Social cohesion in Rwanda: Results from a public good experiment

We describe a public good experiment, a type of economic experiment commonly used to examine feelings of prosociality—that is, behaviour which is positive, helpful and intended to promote social acceptance and friendship—and community cohesion, carried out in Rwanda. Contributions in different parts of the country are affected by the local intensity of the 1994 genocide, with more generous contributions being made in areas where violence was greater. This supports earlier research indicating that conflict experience leads to greater prosociality. However, we also find that people who have not, themselves, been targets of violence give lower contributions than people who have. The considerable group‐related and regional differences in social behaviour may have implications for the country's policies to deal with social cohesion.     

Closure property of consistently varying random variables based on precise large deviation principles

Let X = {X₁, X₂, …} be a sequence of independent but not necessarily identically distributed random variables, and let η be a counting random variable independent of X. Consider randomly stopped sum S_η = ∑^η_{k = 1}X_k and random maximum S_(η) ? max?{S₀, …, S_η}. Assuming that each X_k belongs to the class of consistently varying distributions, on the basis of the well-known precise large deviation principles, we prove that the distributions of S_η and S_(η) belong to the same class under some mild conditions. Our approach is new and the obtained results are further studies of Kizinevi?, Sprindys, and ?iaulys (2016) and Andrulyt?, Manstavi?ius, and ?iaulys (2017).     

被遗忘权的制度缺失、发展困境与中国构建路径

数据时代面临的个人信息受到侵害、个人隐私泄露、算法歧视等一系列重大问题，应将以保护信息主体权利为目的的被遗忘权确立下来。欧美被遗忘权在隐私与自由之间存在的冲突背后所体现的是被遗忘权对于各国需求的重要性，我国现有法律制度中规定的删除权与欧盟所确立的被遗忘权是不能等同的。现行被遗忘权面临着调整对象的设定缺陷、权利内容的设定偏差、责任主体的设定不足三方面的发展困境。学者热议与实践需求在一定程度上表明我国应当引入被遗忘权，并应从调整对象的优化构建、权利内容的改造构建、责任承担的明确构建搭建起中国的路径选择，以解决网络信息社会的发展带给我们的新挑战。     

Oracle GMM estimation for misspecified models via thresholding

We propose a thresholding generalized method of moments (GMM) estimator for misspecified time series moment condition models. This estimator has the following oracle property: its asymptotic behavior is the same as of any efficient GMM estimator obtained under the a priori information that the true model were known. We propose data adaptive selection methods for thresholding parameter using multiple testing procedures. We determine the limiting null distributions of classical parameter tests and show the consistency of the corresponding block-bootstrap tests used in conjunction with thresholding GMM inference. We present the results of a simulation study for a misspecified instrumental variable regression model and for a vector autoregressive model with measurement error. We illustrate an application of the proposed methodology to data analysis of a real-world dataset.     

基因编辑技术背后的伦理与人权

当前基因编辑技术发展迅速,引起各国政府、学术界和企业界的广泛关注。但从近期“基因编辑婴儿”事件来看,基因编辑技术的伦理问题仍须厘清,我国现行法律尚不完善。通过保护基因编辑婴儿隐私、切实发挥伦理委员会作用、加快相关立法工作,我们或可更好地解决基因编辑技术背后的伦理和人权问题。     

Bayesian density regression for discrete outcomes

We develop Bayesian models for density regression with emphasis on discrete outcomes. The problem of density regression is approached by considering methods for multivariate density estimation of mixed scale variables, and obtaining conditional densities from the multivariate ones. The approach to multivariate mixed scale outcome density estimation that we describe represents discrete variables, either responses or covariates, as discretised versions of continuous latent variables. We present and compare several models for obtaining these thresholds in the challenging context of count data analysis where the response may be over‐ and/or under‐dispersed in some of the regions of the covariate space. We utilise a nonparametric mixture of multivariate Gaussians to model the directly observed and the latent continuous variables. The paper presents a Markov chain Monte Carlo algorithm for posterior sampling, sufficient conditions for weak consistency, and illustrations on density, mean and quantile regression utilising simulated and real datasets.     

农民工市民化与城镇化进程的共生与错位

农民工市民化与城镇化进程有着必然的共生关联，但是在实践中，农民工市民化的实践事实与迅猛的城镇化进程相分离。在城镇化进程中，城镇化的经济驱动型特征与农民工市民化的经济给付型需要错位，国家推进人口城镇化的强意志与地方政府的弱反应形成反差，城市发展不平衡的现实与农民工的市民化意愿存在矛盾。在城镇化发展中，要以“共享“为理念，重构农民工的城市权利；以“主体性”为依归，尊重农民工的市民化选择；以“均衡发展”为目标，拓宽农民工的发展路径。     

Hard thresholding regression

In this paper, we propose the hard thresholding regression (HTR) for estimating high‐dimensional sparse linear regression models. HTR uses a two‐stage convex algorithm to approximate the ?₀‐penalized regression: The first stage calculates a coarse initial estimator, and the second stage identifies the oracle estimator by borrowing information from the first one. Theoretically, the HTR estimator achieves the strong oracle property over a wide range of regularization parameters. Numerical examples and a real data example lend further support to our proposed methodology.     

市场优先原则在知识产权领域中的应用

市场优先原则是一种处理市场力量与国家干预关系的原则。在这一原则的指导下，国家对于经济活动的干预应当具有谦抑性。国家干预应当以市场失灵为界限和尺度。知识产权制度是一种由国家权力建构的特殊财产权。在知识产权制度的设计过程中，应当以市场优先原则为指导，以便于知识产品的市场交易为原则界定知识产权。在知识产权的行使中，应在最大程度上依靠市场的力量进行知识产权的权利分配。对于知识产权的限制，应当与市场失灵的规模与原因相适应。当国家力量干预知识产权的市场交易时，应基于更有效的判断。