基于熵值法的城市可持续发展评价模型

城市可持续发展应是一个城市经济发展、社会进步、环境支持三者保持高度和谐的过程。用熵值法能构造出经济发展、社会进步和环境支持指数三个复合指标,设计出评价城市可持续发展的可持续系数和协调系数。基于熵值法的城市可持续发展评价方法,合理地解决了评价中关于发展水平、速度和子系统协调性的关系,丰富了可持续发展评价问题的解决途径,实证研究的结果表明该评价方法是有效的。     

高校全面预算管理绩效评价——以北京市某高校为例

基于平衡计分卡层次化评价目标的思想与关键绩效指标方法,从教学、科研、预算执行、财务、资源配置、社会和发展7个绩效维度构建了高校全面预算管理绩效评价指标体系,并建立了采用客观性更强的熵权法确定指标及维度权重、基于共生效应修正指标得分、基于协同效应计算评估值的非线性评价模型.对北京市某高校2009-2013年全面预算管理绩效进行评价,结果显示该校全面预算管理绩效一直保持较好的水平,其中教学绩效维度效果最佳,预算执行绩效次之,财务绩效表现稍弱,与该校实际情况基本吻合.表明所构建的高校全面预算管理绩效评价指标科学合理、评价方法客观有效、评价结果较为真实可靠,可推广运用,有利于促进中国高校全面预算管理绩效整体水平的提升.     

场域关联、差序嵌入与信任结构的再生产——基于华北一所科技小院的经验研究

文章试图通过分析外源型农技推广组织与农村社区长达10年互动的社会过程来呈现非先赋性信任再生产的逻辑。分析发现,外源型农技推广组织实现由外而内并不是从“外人”变为“自己人”的线性嵌入,而是在“深嵌则依附”与“浅嵌则独立”之间寻找契洽共存的身份认同与行动空间的过程。虽然外源组织囿于乡土社会中内外有别、关系本位的特性,但是其反以“关系”为策略,基于“利益”与“情感”两个维度在场域关联的空间中差序性嵌入,通过高频的人情交往和利益交换在核心家族和区位格局的次级群体上建立自身的核心圈和亲近层,借助增产增量建立组织声誉来扩散村庄整体的互惠网络,将小院院所开放成半公共空间以生产着“生-熟”的信任格局,采取差序分利和模糊雇工来平衡环境依赖和组织独立,以实现从客人到帮手、从帮手到伙伴的身份转变,最终建立组织的合法性身份与行动的合情性空间,在“能否行动”的基础上推动“行动顺畅”成为可能。这种“伙伴”身份的建立过程也再生产着具有伦理性质的信任关系,此类非先赋性的多主体、多维度、层层推进的信任结构,是外源组织嵌入乡土但是不囿于乡土的切实选择。基于此,文章认为,外源组织由外而内的实现不只是一种嵌入过程,更是一种总体性信任结构的生产过程。     

竞争条件下企业生存能力的研究

从企业生物性和管理熵的角度分析了企业生存的三大能力 :基本生存能力、竞争力和应变力 ,形成企业能力的因素主要是企业的文化、学习和创新 ,以及企业的战略管理、经营管理     

基于熵的区域碳排放总量企业间分配研究

企业碳排放配额分配问题是碳交易的基础,也是真正落实国家和地区减排目标的关键。基于信息熵和玻尔兹曼熵,提出一种新的企业碳排放配额分配模型,该模型基于公平、有效和可执行原则,考虑各行业异质性和企业发展需求,以行业内企业碳交易成本最低为目标,将区域碳排放总量分配给各个企业。以昆山市张浦镇为例,采用2012年和2013年数据,进行2013年碳排放总量企业间分配并与2013年实际碳排放量进行对比分析。结果显示: 基于信息熵的区域碳排放总量行业间分配,考虑各种影响因素,符合各行业减排责任、能力、潜力和效率;基于玻尔兹曼熵的行业碳排放总量企业间分配,既符合企业发展需要,同时也奖励了高排放效率企业,惩罚了低排放效率企业,从而有利于促进区域低碳发展。     

基于股价预测的泛证券投资组合策略

本文基于期望效用最大化和L₁-中位数估计研究了在线投资组合选择问题。与EG（Exponential Gradient）策略仅利用单期价格信息估计价格趋势不同,本文将利用多期价格信息估计价格趋势,以提高在线策略的性能。首先,基于多期价格数据,利用L₁-中位数估计得到预期价格趋势。然后,通过期望效用最大化,提出一个新的具有线型时间复杂度的在线策略,EGLM（Exponential Gradient via L₁-Median）。并通过相对熵函数定义资产权重向量的距离,进而证明了EGLM策略具有泛证券投资组合性质。最后,利用国内外6个证券市场的历史数据进行实证分析,结果表明相较于UP（Universal Portfolio）策略和EG策略,EGLM策略有更好的竞争性能。     

Interval censored and truncated data: Rate of convergence of NPMLE of the density

We consider survival data that are both interval censored and truncated. Under appropriate assumptions on the involved distributions, the censoring, truncation and survival, we prove the consistency of the NPMLE of the density of the survival, and give the rate of convergence. Finally, we give an example where the joint law of the censoring and truncation can be explicitly computed.     

‘Colour-evasiveness’ and racism without race: the disablement of asylum-seeking children at the edge of fortress Europe

This article explores discriminatory discourses articulated by Italian professionals operating in educational, health and social services for refugees in Rome, in relation to the educational and social inclusion of unaccompanied asylum-seeking and refugee children. It locates such narratives within the historical ‘concealment and invisibilisation of race and racism’ that have characterised Italy particularly since the end of the Second World War, while showing how they legitimate contemporary processes of disablement and over-representation of forced migrant children in the category of Special Educational Needs. A theoretical framework influenced by Dis/ability Critical Race Studies, Italian postcolonial studies, and Judith Butler’s notions of subjectivation and performative politics is used to discuss how a ‘colour-evasive’ racial ideology has seeped into various institutions in Italian society, and importantly into education policies and practices.     

Goodness-of-fit tests based on Verma Kullback–Leibler information

In this article, a new consistent estimator of Veram’s entropy is introduced. We establish the entropy test based on the new information namely Verma Kullback–Leibler discrimination methodology. The results are used to introduce goodness-of-fit tests for normal and exponential distributions. The root of mean square errors, critical values, and powers for some alternatives are obtained by simulation. The proposed test is compared with other tests.     

Interval estimation: An information theoretic approach

ABSTRACT

We develop here an alternative information theoretic method of inference of problems in which all of the observed information is in terms of intervals. We focus on the unconditional case in which the observed information is in terms the minimal and maximal values at each period. Given interval data, we infer the joint and marginal distributions of the interval variable and its range. Our inferential procedure is based on entropy maximization subject to multidimensional moment conditions and normalization in which the entropy is defined over discretized intervals. The discretization is based on theory or empirically observed quantities. The number of estimated parameters is independent of the discretization so the level of discretization does not change the fundamental level of complexity of our model. As an example, we apply our method to study the weather pattern for Los Angeles and New York City across the last century.