随机模糊折现现金流融资决策模型建立及求解

企业未来投资收益既具有随机性又表现出一定的模糊性,而将未来单位资本投资收益率定义为随机模糊变量,按照企业发展的特点将其分为低、中、高三个阶段,并在随机模糊环境下建立了融资决策模型,最后利用基于随机模糊模拟的SPSA算法对模型进行求解,结合算例对算法的有效性进行了解释。     

Evaluating social investment in disability policy

Disability policy in European countries is displaying a shift towards social investment: increasing human capital and access to the labour market. The reasoning that underlies this transition is that disabled persons would benefit from mainstream employment, but are impeded in traditional policy by deficiencies in labour supply and demand. However, the shift towards more activating policies in many countries is accompanied by a decline in social protection. It is unclear whether social investment may effectively promote the employment chances of disabled persons within this context. The present research examines this question through a quantitative, cross-sectional, multilevel analysis on microdata from 22 EU countries. Our findings suggest greater activation to predict lower employment chances, while reducing passive support shows mixed effects. Conversely, measures for facilitation in daily life predict greater employment chances, as do measures for sheltered work. These findings raise questions over the value of social investment for disabled persons—and underline the need to overcome broader barriers in the labour market and in society.     

Social investment effects of public education,health care,and welfare service expenditures on economic growth

The purpose of this study is to theoretically and empirically examine whether public spending in education, health care, and welfare service operates as a fruitful investment in welfare states, which has been implied in the literature of social investment arguments. Based on comprehensive review of existing literature, this study suggested a tripartite mechanism of social investment effect of such spending, that is “enhancement of human capital,” “support for labor force participation,” and “job creation.” To find the empirical evidence, a pooled time‐series cross‐section analysis was conducted with the data of 15 advanced welfare states from 1980 to 2015 using estimation technique of fixed‐effect model. The results confirmed that public spending in education, health care, and welfare service had a positive medium‐term as well as long‐term effect on economic performance, while cash‐type welfare spending had an obscure or no visible effect on economy. Government consumption that is a proxy and control variable of size of the welfare state showed a positive effect on real GDP in the medium term but a negative effect in the long run. In conclusion, this study suggests that reinforcing social services should be recognized and dealt with as essence of social investment strategy.     

警察人权面临困境的行政法解析

袭警案件的多发凸显了警察人权面临的困境。警察人权处于警察与国家、警察与公民双重关系之中,结合行政法学上“特别权力关系”和“反射利益”两个基本概念研究警察的多重身份和警察权对警察人权的影响,有利于在理论和实践上对警察权益保护的研究能在一个更广阔的平台上进行。     

南宁市外商投资法制环境的现状、存在问题和对策

南宁市是多区域合作地缘经济中心,随着中国—东盟自由贸易区的建立,外商到南宁市投资建设日益增多,外商投资法制环境建设的重要性与必要性日益凸显。外商投资法制环境是一项系统工程,涵盖立法、行政执法、司法等各个领域,涉及政府、法院、市场主体和全体公民,如何为外商提供优质高效的法律服务和法律保障,为外商投资创造良好的法制环境,需要党政机关、司法机关、执法机关和全社会共同来营造。本课题就南宁市外商投资法制环境的现状、存在问题进行了调研,深入分析了南宁市外商投资法制建设所要解决的实际问题,以及存在问题的原因,并就优化南宁市外商投资法制环境提出了具体的对策和建议。     

城市停车产业化的投资激励机制探索

城市停车难已经成为制约城市治理的重要问题,停车产业化是解决城市停车难题的重要路径。停车产业化应明确界定政府、市场和社会之间的边界,加强城市停车供给侧结构性改革。增加停车供给可以通过政府机制或市场机制来实现,但市场机制具有天然的优势。当前,要积极发挥市场机制在资源配置中的决定性作用,积极推进停车资源的市场化供给;根据停车资源产业化、民营化和专业化的基本要求,积极营造良好的停车市场投资环境,鼓励民间资本的市场化经营;以民间资本的投资经营利润为激励机制,构建有利于停车资源时空配置的合理价格体系。     

个人教育投资的风险收益测度

将教育资本分解成受教育程度和职业的各种组合,借鉴Markowiz的有效投资组合理论,计算Mincer收入方程中扰动项的均值—标准差来衡量投资风险收益,以此建立中国教育投资风险和收益之间的平衡关系,并且利用F检验衡量投资组合的均值方差张成。结果表明,有效的教育资本组合不仅与所接受教育程度有关,还与未来职业选择有关。在以受教育程度为高中和中等职业的基础上,高中(06)可以张成其他全部14个投资组合的均值方差边界。因此,个体和政府在进行教育投资时,都需要全面衡量投资组合的风险收益平衡问题。     

On comparing,classifying and clustering several dependent regression models

Classifying several regression models fitted on a dataset is one of the most problems in data analysis. In other words, scientists are interested in comparing several regression models that can be used for a dataset. In this paper, an approach will be used to compare and classify several dependent regression models. Then the performance of the proposed method is investigated using simulation study and real example.     

Diagnostics of multiple group influential observations for logistic regression models

In this paper, two new multiple influential observation detection methods, GCD.GSPR and mCD*, are introduced for logistic regression. The proposed diagnostic measures are compared with the generalized difference in fits (GDFFITS) and the generalized squared difference in beta (GSDFBETA), which are multiple influential diagnostics. The simulation study is conducted with one, two and five independent variable logistic regression models. The performance of the diagnostic measures is examined for a single contaminated independent variable for each model and in the case where all the independent variables are contaminated with certain contamination rates and intensity. In addition, the performance of the diagnostic measures is compared in terms of the correct identification rate and swamping rate via a frequently referred to data set in the literature.     

基于产品生命周期的多阶段剩余收益项目决策模型

剩余收益模型（Residual Income Model,RIM）是评估公司权益价值的经典模型,特别地,奥尔森系列剩余收益模型由于可以利用历史财务与会计数据而得到广泛运用。本文在一般剩余收益模型的基础上,运用规范研究、逻辑推理等方法,基于产品生命周期理论,即项目处于产品生命周期的不同阶段时,其净资产收益率不同,在增长期的净资产收益率持续上升,衰退期的净资产收益率持续下降,而成熟期的净资产收益率则围绕行业平均水平波动,从理论上就项目投资价值的评估构建了多阶段剩余收益项目决策模型,并就所构建的多阶段剩余收益项目决策模型进行参数赋值分析。研究结果表明该新构建的决策模型具有较好的理论和运用价值,可以作为一种有效的项目投资决策模型。本文的研究一是拓展了剩余收益模型的应用,从主要用于对公司权益价值的估值拓展至对项目投资决策的评估;二是有利于寻求项目投资决策的价值最大化。