股权结构、企业社会责任与公司财务绩效实证研究

本文采用2014—2016三年上市公司数据,通过控制企业规模、年龄和财务杠杆等变量,研究企业社会责任(CSR)与公司财务绩效(CFP)之间关系以及引入股权结构作为中介变量,探究股权集中度和制衡度对CSR与CFP两者的影响.研究发现:履行社会责任能够改善公司的经营绩效,而适当提高大股东持股比例能够加强CSR对CFP的正向作用.所以合理的股权结构能够促进企业承担社会责任,进而提升上市公司的财务绩效.     

论概率安全评价中的组织风险因素

核电站组织风险已经成为核电站安全运行重要的影响因素,在概率安全评价中考虑组织风险因素是核电安全研究的重要课题。文章在建立组织风险因素与PSA之间转换的概念框架的基础上,对组织风险因素进行分类。分类后的组织风险因素受人员行为形成因子的影响,其影响在人因可靠性分析中进行分析。计算和评估这些人员行为形成因子对于事故后操纵员的影响可以计算组织因素对核电站安全的影响。     

基于低碳发展的生态物流绩效评价研究——以重庆市为例

运用因子分析法对重庆市2006—2015年生态物流绩效进行评价。研究发现：近十年重庆市生态物流保持着越来越好的发展态势;重庆物流业过去单一追求规模和数量的扩张对生态物流绩效造成了负面影响;同时,政府对环保的立法和监管对生态物流的发展也起到了促进作用。最后,根据分析的结果提出对策建议。     

基于发展新理念的粮食类家庭农场成长绩效测评研究

基于发展新理念对粮食类家庭农场成长绩效的评价指标进行理论遴选后,借助专家评审和鉴别力分析进行指标筛选,构建了具有较高信度和效度的评价指标体系。以华北平原五省的453户粮食类家庭农场为样本,采用AHP-模糊综合评价模型,对指标体系做了应用研究。结果表明：粮食类家庭农场成长绩效虽在总体上处于中等偏上水平,但个体间存在一定的成长绩效差异;经济绩效整体表现良好,创新绩效却较低。因此,应引导粮食类家庭农场平衡性成长、制定精准扶持方略和建立成长绩效监测体系。     

新型农业经营主体的经营绩效与差异分析——基于农村固定观察点的数据调查

新型农业经营主体的经营绩效关系到其可持续发展。采用农村固定观察点对我国各省区新型农业经营主体的调查数据,运用随机前沿分析法,对不同类型的经营主体的经营绩效进行分析,并进一步分析新型农业经营主体的差异性。结果表明：相比小农户而言,新型农业经营主体的经营绩效相对较高,但是其平均绩效还有很大的改善空间;新型农业经营主体面临融资难和人才缺乏的问题,且该问题在农民专业合作社中最为突出;我国家庭农场的经营绩效在三种新型农业经营主体中是最高的,其次是农业（龙头）企业,最后是农民专业合作社。对此,提出应完善土地“三权分置”机制,实现新型农业经营主体的规模化生产,进一步解决其融资难和人才缺乏的问题,加大政策扶持力度等建议。     

地震灾后重建绩效测量——以汶川、玉树、芦山地震为例

灾后重建是保障地震灾区群众重归正常生产生活的重要工作,那么如何测量灾后重建绩效,哪些因素会影响灾后重建绩效?文章回顾了灾后重建绩效相关研究文献,在此基础上认为效果和效率是灾后重建绩效的两大方面,以"消除灾害影响并恢复到灾前水平所用的时间"作为衡量灾后重建绩效的标准,能够反映灾后重建的效果和效率,具有可行性。以此为基础建立了灾后重建绩效的分析框架和测量方法,并选择汶川地震、玉树地震和芦山地震作为案例,对三次地震灾区的重建绩效进行了对比分析并简要分析了绩效差异原因。结果表明,三次地震灾后重建基本如期完成了灾后重建目标任务,但因存在灾害程度不同、对口支援质量不同等原因,三次地震灾后重建绩效存在一定差异。     

二元学习与创新绩效的作用机制——组织内部协作网络的调节作用

组织学习是驱动企业创新、实现技术追赶与超越追赶的关键因素,如何合理组织企业的利用式和探索式学习是企业构建研发体系的关键问题。学界对二元学习是否有利于企业的创新绩效存在截然不同的观点。同时,组织内部的情境因素是影响组织二元学习和创新绩效关系的最根本因素,组织内部研发协作网络是二元学习的重要载体。基于美国半导体行业企业十年间的专利数据,实证研究发现,不同维度的二元学习对企业创新绩效具有不同的影响,联合二元学习能够积极影响企业的创新绩效,平衡二元学习则会降低企业的创新绩效;内部研发协作网络密度在二元学习和创新绩效的关系中具有显著的调节作用,企业的内部协作网络密度越高,联合二元学习对企业创新绩效的积极影响越弱,平衡二元学习对创新绩效的负影响则加剧。     

Sensitivity,uncertainty, and decision analyses in the prioritization of research

The evaluation of hazards from complex, large scale, technologically advanced systems often requires the construction of computer implemented mathematical models. These models are used to evaluate the safety of the systems and to evaluate the consequences of modifications to the systems. These evaluations, however, are normally surrounded by significant uncertainties related to the uncertainty inherent in natural phenomena such as the weather and those related to uncertainties in the parameters and models used in the evaluation.

Another use of these models is to evaluate strategies for improving information used in the modeling process itself. While sensitivity analysis is useful in defining variables in the model that are important, uncertainty analysis provides a tool for assessing the importance of uncertainty about these variables. A third complementary technique, is decision analysis. It provides a methodology for explicitly evaluating and ranking potential improvements to the model. Its use in the development of information gathering strategies for a nuclear waste repository are discussed in this paper.     

Getting to Where You Want to Go: Designing Information Systems and Using Your Data Through the Application of Analytics and Informatics

ABSTRACT

This article, based on the closing session from the 2017 NC Serials Conference, describes a systems perspective where data serve as both real-time and summative information and knowledge about how an organization is performing, what services and resources its users are using and interacting with, and areas for which the organization is doing well or needs improvement. The author posits that data are most useful when the context is informed by clear goals that provide a direction to where the organization is and wants to be. Applied examples are discussed for several environments, including an academic department, school of education, regional libraries, and public libraries.     

How to Evaluate Government Performance while Building a Rule of Law Government in China*

Building a law-based government is a central element of the comprehensive framework for promoting the rule of law in China, while using evaluation to catalyze growth is in line with the incentive principle of management studies. Since China started to implement reform and opening up over thirty years ago, rule of law development and organizational evaluation have gone through several stages, each with different characteristics. Efforts to build a law-based government have met with success, but what the country now has is essentially still goal-oriented assessment. At present, this suffers from the lack of a clear goal orientation or definition of functions, an imperfect technical system and unsound motivation mechanisms, not to mention the practical problems of each government department going its own way, duplicating evaluations or being left rudderless. Drawing on a combination of value rationality and instrumental rationality and using government performance evaluation to promote the building of a law-based government not only conforms to the spirit of the rule of law and value rationality in government performance, but also strengthens the role of evaluation as an instrument for organizational management. Therefore, we need to create new evaluation theories, expand public participation, introducing diversified evaluating entities, improve technical systems, strengthen institutional buildup, and foster a performance-based culture. In addition, replacing goal-oriented assessment with performance evaluation will help the emergence of a new discipline—the performance evaluation of rule of law government, thus promoting multidisciplinary efforts to integrate and create new public administration theories in China.