中小企业成长的社会网络解释与分析

中小企业成长依赖于外部资源获取,而资源获取渠道又通常产自于由各种社会关系构成的社会网络。本文针对中小企业成长的独特轨迹,认为社会网络理论在中小企业资源获取及在此基础上的持续成长方面具有独到的解释与分析力度。此外,对社会网络的演进模式及其在中小企业资源获取与成长过程中发挥的作用进行了分析。最后,对社会网络理论在中小企业成长方面可能的具体研究应用领域进行了探讨。     

Block external bootstrap in partially linear models with nonstationary strong mixing error terms

The authors extend the block external bootstrap to partially linear regression models with strongly mixing, nonstationary error terms. In addition to providing an approximate distribution for the semiparametric least square estimator of the parametric component, they propose a consistent estimator of the co‐variance matrix of this estimator.     

La médiane simpliciale d'Oja: Existence,unicité et stabilité

Oja (1983) examined various ways of measuring location, scatter, skewness, and kurtosis for multivariate distributions. Among other measures of location, he introduced a generalised median known in this paper under the name of the Oja median. In our study of the existence of that median, we show that Oja's definition can only be applied to distributions having a mean. In dimension d θ 2, we establish that the usual method of extension breaks down, which raises the question of the validity of the concept as a notion of median. Two fundamental theoretical properties of that median are also considered: uniqueness and consistency.     

Is CSR the panacea for SMEs? A study of socially responsible SMEs during economic crisis

There is increasing research attention as to how SMEs might realize corporate social responsibility opportunities. Most studies focus on the pursuance of responsible business strategies that result in favourable business outcomes. This study investigates SMEs who actively participate in CSR activities in a south-eastern European country during the economic crisis of the Eurozone. Data collected reveals that stakeholder salience and proximity moderate the relationship between CSR and financial performance. The context of this study is important as it addresses the paucity of research carried out in countries during economic crisis and sheds light on the positive aspects of CSR practices adopted during crisis.     

电子商务发展与农村中小企业创新

基于阿里巴巴电子商务发展指数、中国工商注册企业年检数据库和专利数据库以及中国企业创新创业调查数据库,利用网商的特性和各个行业外部融资依赖程度的差异,探讨了电子商务发展对于农村中小企业创新的影响及其内在机制。实证分析结果表明,电子商务发展水平越高,农村中小企业的创新能力越强。电子商务发展通过缓解资金拖欠问题降低了融资约束,显著减少了外部融资依赖程度更高的农村中小企业的应收账款,提升了其现金流的充裕性和创新产出。分所有制类型的研究结果表明,电子商务的作用在外部融资依赖程度较高的私有农村中小企业中更为显著;而对于融资约束较小的国有村域企业,电子商务的发展并未在创新方面对其产生显著影响。     

Dynamically Consistent Preferences with Quadratic Beliefs

This article characterizes a family of preference relations over uncertain prospects that (a) are dynamically consistent in the Machina sense and, moreover, for which the updated preferences are also members of this family and (b) can simultaneously accommodate Ellsberg- and Allais-type paradoxes.Replacing the "mixture independence" axiom by "mixture symmetry" proposed by Chew, Epstein, and Segal (1991) for decision making under objective risk, and requiring that for some partition of the state space the agent perceives ambiguity and so prefers a randomization over outcomes across that partition (proper uncertainty aversion), preferences can be represented by a (proper) quadratic functional. This representation may be further refined to allow a separation between the quantification of beliefs and risk preferences that is closed under dynamically consistent updating.     

基于模糊判断矩阵信息确定专家权重的方法

本文对群组模糊判断矩阵集结过程中确定专家权重的问题进行了研究,建立了模糊判断矩阵的特征矩阵和求解群集结矩阵的最优化模型,通过矩阵之间距离度量判断信息自身逻辑一致性程度和群体相容性程度,给出一种基于专家判断信息的可信度计算其后验权重的方法,最后用算例予以说明.     

区间数互补判断矩阵的一致性及其排序研究

由于目前国内外文献对区间数互补判断矩阵的性质研究较少,从而使得对排序方法的相关研究缺乏理论依据.针对这些缺陷,本文研究了区间数互补判断矩阵的性质及其排序方法问题.根据区间数互补判断矩阵的定义,给出了区间数互补判断矩阵的一致性、严格强传递性与弱传递性等定义,并研究了一致性判断矩阵的性质,并说明这些性质更符合人们的思维特征.在一致性性质的基础上建立了区间数互补判断矩阵排序的非线性规划模型,算例分析表明该方法是有效可行的.     

Uniformly strong consistency and Berry-Esseen bound of frequency polygons for α-mixing samples

In this article, the frequency polygon investigated by Scott is studied as a nonparametric estimator for α-mixing samples. By some known exponent and moment inequalities, we obtain the uniformly strong consistency and Berry-Esseen bound of the estimator. The present results relax the relevant conditions used by Carbon et al. Furthermore, the convergence rate of the uniformly asymptotic normality is derived, which is O(n^{? 1/11}) under the given conditions.     

Bayes shrinkage estimator for consistency assessment of treatment effects in multi-regional clinical trials

The primary objective of a multi-regional clinical trial is to investigate the overall efficacy of the drug across regions and evaluate the possibility of applying the overall trial result to some specific region. A challenge arises when there is not enough regional sample size. We focus on the problem of evaluating applicability of a drug to a specific region of interest under the criterion of preserving a certain proportion of the overall treatment effect in the region. We propose a variant of James-Stein shrinkage estimator in the empirical Bayes context for the region-specific treatment effect. The estimator has the features of accommodating the between-region variation and finiteness correction of bias. We also propose a truncated version of the proposed shrinkage estimator to further protect risk in the presence of extreme value of regional treatment effect. Based on the proposed estimator, we provide the consistency assessment criterion and sample size calculation for the region of interest. Simulations are conducted to demonstrate the performance of the proposed estimators in comparison with some existing methods. A hypothetical example is presented to illustrate the application of the proposed method.