统购统销制度运行发展过程的逻辑考查

统购统销是我国计划经济时期物资短缺造就的制度产物,是国家主导社会资源配置的强制性制度变迁结果.为了使制度有效运行发展,国家在农产品资源社会生产总过程中实行“定产、定购、定交、定消和定销”政策,当制度执行偏差影响到民众生产生活时,他们便会通过自主行为来表达自身利益诉求和对国家政策的不满.随着社会生产力发展,统购统销制度的弊端日益凸显,严重束缚了社会经济的发展,最终被市场经济制度所取代.     

新时代学科评估改革的新思维（笔谈）

加快建立中国特色、世界水平的学科评估体系,是提升我国学科建设水平和人才培养质量的重要助力器。在全国第五轮学科评估即将开始之际,学科评估应更加突出其诊断功能,突破评价标准单一、偏重学术导向、加剧马太效应的三重制约,引领高校尤其是地方高校学科的特色发展。应转变学科评估在服务师资队伍建设中呈现出的量化倾向、行为主义倾向以及行政化倾向,引导新时代的学科评估更好地服务于高校的师资队伍建设。应寻求学科评估工具价值和理性价值的融合,关照不同发展阶段学科的主体需求,构建和谐共生的学科评估生态系统。应聚焦立德树人根本任务,彰显新时代学科评估中本科教育的使命与责任,以更精细的分类、更民主的参与、更科学的价值判断、更合理的评估标准,进一步发挥学科评估对高校尤其是西部高校学科发展的引领作用。     

孙中山的社会福利思想探析

孙中山的社会福利观一方面继承了中国社会福利思想的传统,又受到资产阶级民主革命和西方福利思想的影响,形成他颇具特色的社会福利观,成为其民生主义的重要内容。孙中山关注社会弱势群体,认为为国民提供社会福利是政府的责任,倡导社会福利的制度化和法治化建设。孙中山的社会福利思想对民国的社会福利实践产生了重要影响,在中国社会思想史上占有重要的地位。     

技术特征、关系结构与社会化购买行为

社会化媒体技术与社会关系网络促进了社会化商务(SC)的价值创造,如何有效利用技术与用户的关系结构是 SC 企业提高其平台购买转化率的关键． 从双重视角探索技术与关系如何影响用户购买决策,基于刺激―机体―反应框架,构建了以技术可供性和强、弱关系为刺激因素,信息诊断性和意外发现性为内在机体状态,社会化购买意向为“反应”的理论模型,探索了用户社会化购买行为的发生机制． 以具有社会化购买体验的微信用户作为研究对象,运用 SmartPLS 3.0 对模型进行了路径检验和假设分析． 研究结果发现: 技术可供性与弱关系对信息诊断性和信息意外发现性具有正向影响; 弱关系对信息意外发现性的影响作用大于强关系; 信息诊断性正向影响信息意外发现性,信息诊断性与意外发现性对社会化购买意向均有显著正向影响; 然而,强关系对信息意外发现性的影响不显著． 信息诊断性与信息意外发现性部分中介了技术可供性对社会化购买意向的影响,完全中介了弱关系对社会化购买意向的影响,信息诊断性部分中介了强关系对社会化购买意向的影响． 为进一步探究社会化购买行为提供 了理论基础和实践指导．     

马克思主义与全球道德

全球道德与马克思主义是相通的。马克思主义是全球道德建设的理论基础和根本指导原则,而全球道德建设必将丰富和发展马克思主义伦理道德学说。     

Model selection consistency of U-statistics with convex loss and weighted lasso penalty

In the paper we consider minimisation of U-statistics with the weighted Lasso penalty and investigate their asymptotic properties in model selection and estimation. We prove that the use of appropriate weights in the penalty leads to the procedure that behaves like the oracle that knows the true model in advance, i.e. it is model selection consistent and estimates nonzero parameters with the standard rate. For the unweighted Lasso penalty, we obtain sufficient and necessary conditions for model selection consistency of estimators. The obtained results strongly based on the convexity of the loss function that is the main assumption of the paper. Our theorems can be applied to the ranking problem as well as generalised regression models. Thus, using U-statistics we can study more complex models (better describing real problems) than usually investigated linear or generalised linear models.     

Asymptotic properties of the maximum-likelihood estimator in zero-inflated binomial regression

The zero-inflated binomial (ZIB) regression model was proposed to account for excess zeros in binomial regression. Since then, the model has been applied in various fields, such as ecology and epidemiology. In these applications, maximum-likelihood estimation (MLE) is used to derive parameter estimates. However, theoretical properties of the MLE in ZIB regression have not yet been rigorously established. The current paper fills this gap and thus provides a rigorous basis for applying the model. Consistency and asymptotic normality of the MLE in ZIB regression are proved. A consistent estimator of the asymptotic variance–covariance matrix of the MLE is also provided. Finite-sample behavior of the estimator is assessed via simulations. Finally, an analysis of a data set in the field of health economics illustrates the paper.     

Estimation and Inference Procedures for Semiparametric Distribution Models with Varying Linear‐Index

More flexible semiparametric linear‐index regression models are proposed to describe the conditional distribution. Such a model formulation captures varying effects of covariates over the support of a response variable in distribution, offers an alternative perspective on dimension reduction and covers a lot of widely used parametric and semiparameteric regression models. A feasible pseudo likelihood approach, accompanied with a simple and easily implemented algorithm, is further developed for the mixed case with both varying and invariant coefficients. By justifying some theoretical properties on Banach spaces, the uniform consistency and asymptotic Gaussian process of the proposed estimator are also established in this article. In addition, under the monotonicity of distribution in linear‐index, we develop an alternative approach based on maximizing a varying accuracy measure. By virtue of the asymptotic recursion relation for the estimators, some of the achievements in this direction include showing the convergence of the iterative computation procedure and establishing the large sample properties of the resulting estimator. It is noticeable that our theoretical framework is very helpful in constructing confidence bands for the parameters of interest and tests for the hypotheses of various qualitative structures in distribution. Generally, the developed estimation and inference procedures perform quite satisfactorily in the conducted simulations and are demonstrated to be useful in reanalysing data from the Boston house price study and the World Values Survey.