河南现代农业示范基地引导农业科技发展方向的实证分析

现代农业示范基地是现代集约农业的有效组织形式和展示窗口,在推动农业增长方式转变、促进农业和农村经济发展中的作用越来越突出。对现代农业示范基地开展研究,以理论指导实践,促进基地快速、健康发展,成为当前"社会主义新农村建设"工作的一项紧迫任务。以河南的调研资料为背景,对河南现代农业示范基地引导农业科技发展进行了实证分析,剖析了河南现代农业示范基地存在的问题,并针对性地提出了一些建议。     

从语篇分析角度看汉英长句翻译

汉英长句翻译一直是翻译教学与实践的难点,从语篇分析角度看汉英长句翻译,旨在通过有别于其他相关研究,去探讨汉英长句翻译的新思路。     

制造业项目结构分解过程模型研究

针对项目分解中工作分解结构方法的不足,以制造业项目为例,考虑项目产品本身的构造及特点的基础上,综合项目产品的工艺装配过程、产品数据管理技术以及项目组织结构,构建了项目结构分解的过程模型,并对该模型进行了详细分析,应用该模型能够更加科学、合理地进行项目分解,确定项目范围。     

企业管理信息系统与P3、P3e/c数据交换的研究与实现

本文首先讨论P3、P3e/c项目管理软件与企业管理信息系统集成的必要性和重要性,然后详细地介绍了采用RA引擎(OLE对象)技术来实现P3软件与企业管理信息系统的数据交换,以及与P3e/c交互的原理。分析P3、P3e/c在数据组织上的差异,提出解决方案。最后以实例讨论和分析了这种方法在实际系统中的应用。     

企业经营管理预警：主成分分析在logistic回归方法中的应用

logistic回归分析是度量企业信用风险的一种主流方法,它的假设比较符合经济现实和金融数据分布的特点。但是考虑到现阶段我国上市公司的信用数据具有的高维性和高相关性等特点对logistic分析产生的负面影响,本文在logistic分析中引入了能够有效降维和消除logistic方程共线性等问题的主成分分析,并对我国沪深两市上市公司的经营失败进行了实证研究,结果表明结合主成分分析法的logistic回归分析在模型解释和预测准确率等力面均优于简单的logistic分析。     

Variable precision rough set theory and data discretisation: an application to corporate failure prediction

Since the seminal work of Pawlak (International Journal of Information and Computer Science, 11 (1982) 341–356) rough set theory (RST) has evolved into a rule-based decision-making technique. To date, however, relatively little empirical research has been conducted on the efficacy of the rough set approach in the context of business and finance applications. This paper extends previous research by employing a development of RST, namely the variable precision rough sets (VPRS) model, in an experiment to predict between failed and non-failed UK companies. It also utilizes the FUSINTER discretisation method which neglates the influence of an ‘expert’ opinion. The results of the VPRS analysis are compared to those generated by the classical logit and multivariate discriminant analysis, together with more closely related non-parametric decision tree methods. It is concluded that VPRS is a promising addition to existing methods in that it is a practical tool, which generates explicit probabilistic rules from a given information system, with the rules offering the decision maker informative insights into classification problems.     

Improved methods for moment restriction models with data combination and an application to two-sample instrumental variable estimation

Combining-100 information from multiple samples is often needed in biomedical and economic studies, but differences between these samples must be appropriately taken into account in the analysis of the combined data. We study the estimation for moment restriction models with data combined from two samples under an ignorability-type assumption while allowing for different marginal distributions of variables common to both samples. Suppose that an outcome regression (OR) model and a propensity score (PS) model are specified. By leveraging semi-parametric efficiency theory, we derive an augmented inverse probability-weighted (AIPW) estimator that is locally efficient and doubly robust with respect to these models. Furthermore, we develop calibrated regression and likelihood estimators that are not only locally efficient and doubly robust but also intrinsically efficient in achieving smaller variances than the AIPW estimator when the PS model is correctly specified but the OR model may be mispecified. As an important application, we study the two-sample instrumental variable problem and derive the corresponding estimators while allowing for incompatible distributions of variables common to the two samples. Finally, we provide a simulation study and an econometric application on public housing projects to demonstrate the superior performance of our improved estimators. The Canadian Journal of Statistics 48: 259–284; 2020 © 2019 Statistical Society of Canada     

基于全球证券投资网络的中国金融影响力测评

金融市场的国际影响力是一国综合国力的重要组成部分，到目前为止，对一国金融市场的国际影响力进行系统性测评的指标体系还没有形成。本文基于国际货币基金组织（IMF）协调证券投资调查数据库公布的全球双边证券投资头寸数据编制了2017年6月“国家（地区）×国家（地区）”形式的全球证券投资头寸表，并以该表的数据为基础模拟了全球证券投资网络。然后采用社会网络与马尔可夫链分析方法，编制了金融影响力指数，系统考察了中国在全球证券市场的直接与潜在金融影响力。研究发现：全球证券交易以美国、卢森堡、英国、日本、法国、德国等发达国家为中心，中国金融影响力在全球排名第17位，尚未进入全球证券决策的核心，但已经成为全球证券市场中一支不可或缺的力量。     

分形插值在储层参数预测中的应用

岩心分析和测井分析表明,沉积岩的物性分布常常具有分形特征;文中用改进实验变差函数分析某油田X探区测井和取心的孔渗数据,得到在某些井中孔渗参数具有分形特征,并采用fGn分形插值技术,得到井间参数的空间分布。     

Satisfaction and preferences in a legality social dilemma: Does corporate social responsibility impact consumers’ behaviour?

We investigate players’ preferences in a multiplayer prisoner's dilemma by comparing results from satisfaction-based and a choice-based approach by means of a laboratory experiment. The experimental design tests the effects of the legality rating frame on consumers’ choice between products from producers labeled by the legality rating and products by unlabeled producers. Both approaches provide strong evidence of preference heterogeneity, with players who cooperate above median being less affected in their choice by monetary payoffs vis-à-vis the public good component. The empirical findings support the hypothesis of our theoretical model that (part of the) players have, in addition to the standard self-interest component, an other-regarding preference argument that is further satisfied in the legality frame plus conformity design.A policy suggestion stemming from our experiment is based on the fact that corporate social responsibility legality frames and culture have a significant effect on an important portion of consumers. These consumers reveal that the often-declared willingness to pay for socially, environmentally and legally responsible features of products is confirmed by actual purchases of more expensive responsible products. Governments should therefore promote the creation of legality rating schemes with well-defined pre-established rules such as in the Italian case.