医保支付方式对医疗行为的影响研究

不同医保制度体系及不同医保支付方式对医生、患者的医疗行为以及对医院提供医疗行为产生怎样的影响,是社会和学界普遍关注的问题.本文采用医院医保支付报销微观数据,利用统计和计量实证研究方法,从微观视角探究医保支付方式对医生、患者医疗行为以及对医院提供医疗行为的影响,研究发现医保支付方式对医生医疗行为的提供数量和质量具有显著影响,提出应完善并统一不同医保支付结算方式的报销政策,进一步加强医保支付报销监管,加强药品供应流通与价格形成等监管,以完善医保支付方式.     

新生代农民工违法犯罪心理根源及其解决之道——基于四川省Z市看守所、监狱的实证研究

近年来多发性的新生代农民工违法犯罪问题,逐渐成为构建和谐社会的一大障碍.课题组通过对羁押于四川省Z市看守所和在监狱服刑的新生代、上一代农民工及其他受访者群体的各类需求、歧视行为反感度、不公感等进行问卷调查,对调研数据采用卡方检验进行差异性比较,发现新生代农民工违法犯罪的背后有着城乡二元户籍制度、城乡文化冲突、贫富差距加大、向上机会狭窄等诸多社会因素导致的心理问题.在实证研究的基础上,有针对性地提出了提供教育培训机会、建立犯罪防控体系、完善社会保障等解决方法.     

基于大数据的互联网金融征信体系构建研究

构建基于大数据的互联网金融征信体系是防控互联网金融风险的重要手段.目前,已有部分机构开始使用大数据征信.针对大数据征信存在的法律法规、信息安全及相关技术等问题提出了对策建议.     

私家车停车现状的统计调查研究——以杭州市为例

交通行为,是由动态交通和静态交通共同组成的.停车,作为静态交通的主要形式,是整个大交通体系中的重要组成部分,与动态交通产生交互影响.停车难除了造成交通拥堵,还会对社会其它方面产生不良影响,如占用消防通道、大面积减少绿化、引发公众纠纷等,影响城市化建设进程.因此,缓解停车难问题已成为建设智慧城市的一个重要课题.本调查组采用文献搜集、抽样调查(问卷调查)和实地访谈三种方法相结合的方式收集数据,从普通市民、停车场(库)管理部门、政府规划部门三个角度,应用定性分析和定量分析相结合的方法,对所调查的数据进行统计分析,全面、系统地分析了普通市民对当前停车的满意程度、停车难问题的主要影响因素、各因素对停车难的影响程度等问题,从而得出停车难问题的结论,探究构建合理停车体系的有效途径,从改善供需平衡、提高利用率、提升管理水平三个角度,提出科学、合理、落地的建议,减少由停车难引起的社会矛盾,促进和谐社会的构建.     

基于协同平台的高校教师科研绩效评价体系

在研究组织人员行为绩效评价体系的基础上,分析了传统的KPI(key performance indicator)评价方式所面临的主要问题,提出针对高校教师科研绩效进行分类建模,并设计相应的绩效指标、绩效算法及评价体系来解决问题。最后,用某院教职工2015—2019年在协同信息管理平台上的行为数据,检验了该体系的有效性及合理性,并针对基于协同平台的高校教师科研绩效评价体系的结果分析,提出高校科研管理及绩效激励方案。     

农村土地经营权流转的现状、影响及对策

我国一直以农业大国著称,土地一直是我国政府及农民最关注的问题,近年来我国掀起了一股土地流转的热潮.然而在土地流转的过程中,我国仍面临着许多问题和严峻的挑战.本文就是从不同的角度来分析和研究农户土地流转意愿并对其流转行为进行具体的分析.本文以河南省灵宝市宋曲村为例,基于150份农户的调查数据,从农户的个体特征、农户的家庭特征以及农户的社会保障认知等几个方面,通过建立Logistic模型,来了解宋曲村土地流转现状,对土地流转体系提出适当的建议.     

高校隐性文化构建模式研究

隐性文化作为高校文化系统的有机组成部分,发挥着重要的作用.目前,高校隐性文化建设过程中存在诸多问题,从而导致高校隐性文化体系建设缓慢.本文认为,应从物质文化、行为文化和精神文化等方面构建我国高校隐性文化体系,并就这三个方面提出建议.     

建立完善佳木斯市社会信用体系

黑龙江省佳木斯市在省委的统一步署下,建立完善社会信用体系工作取得了很大的成绩,在成绩的背后,存在的问题不容忽视,比如:信用数据资源分割、信用信息应用领域狭窄、缺乏独立的信用主管部门等,笔者在充分借鉴发达国家和地区建立社会信用体系的经验的基础上,结合佳木斯市市情,从五方面提出了完善佳木斯市社会信用体系的对策,即有效整合信用数据资源、扩大信用信息应用领域、培育精良的信用中介机构、加快信用管理的专业人才培养及加快推进个人信用体系建设等.     

探析会计准则变革对企业投资行为的影响

随我经济全球化趋势的不断加强,会计作为经济发展的重要组成部分,会计准则也逐渐向国际化方向发展.二十一世纪以来,我国不断完善会计准则的内容,对会计准则存在的问题进行改进,无论是在准则体系、准则目标,还是准则内容等方面都取得了较大进步,对企业的投资行为产生了重要影响,促进企业经营方式的转变.因此,本文将从会计准则变革对企业行为影响的分析框架出发,初步探析会计准则变革对企业投资行为的具体影响,希望对会计准则体系的进一步发展提供一定帮助.     

我国银行业信用风险预警及评级体系研究——基于新巴塞尔资本协议的分析

目前国内外对银行信用风险评级体系的分析方法缺乏系统性、预见性和前瞻性,模型设计中存在前提假设与现实不一致、数据和参数的选定误差风险等问题.建立我国信用评级体系,应该以系统性、配套性和更新优化等原则为依据,在此基础上注重模型假设理论一致性、变量现实性和参数的可观测性等以降低模型风险.     

An Estimated Australian Macroeconomic Misery Index

The degree of community satisfaction with alternative macroeconomic outcomes is of considerable interest to policy makers. Ad hoc measures of community macroeconomic welfare, so-called Misery Indexes, are commonly used as proxies of such welfare These indexes are very rudimentary and make implicit restrictive assumptions about the community's marginal rates of substitution among different macroeconomic outcomes. The current paper demonstrates a framework for statistically estimating the relative responsiveness of community welfare to such variables as unemployment, inflation, interest rates, real wages and measures of Australia's external performance. Morgan Gallup Poll data are used to proxy levels of community (dis)satisfaction .     

Evaluating innovation networks in emerging technologies

Interorganisational innovation networks are increasingly important for innovation in emerging technology fields. The performance of such networks can have a large impact on the future development of emerging technologies. A useful framework for the evaluation of innovation networks however does not yet exist. In this paper, such a framework is developed, using elements of the social network analysis literature and the resource-based view. This framework is subsequently applied to compare two policy-driven innovation networks: 1) the Center for Translational Molecular Medicine; and 2) the BioMedical Materials program. Based on this first empirical exploration of the framework implications for management and further policy development are formulated.     

Economic Motivations for Limited Dependent and Qualitative Variable Models*

The greater availability of survey data, a succession of papers dealing with the statistical issues arising from the analysis of such data and the appearance of software packages, such as UMDEP, have led to a remarkable increase in the application of limited dependent and qualitative variable models in economics. Economic analysis of the behaviour of individual decision makers often leads to models which are of a limited dependent or qualitative variable nature. This paper attempts to show how the use of these models naturally arises from the more general framework of modifications to traditional economic optimization problems.     

HEALTH CARE ACCOUNTS—A CONCEPTUAL FRAMEWORK AND AN ILLUSTRATIVE EXAMPLE*

Canadian statistics of the health care delivery system are generated under a variety of concepts, methodologies, definitions, and classifications by the numerous individual units, institutions, and organizations involved. This paper presents an overview and a framework for satellite accounts on health care delivery. Its objective is to enable the organization of economic and financial information on health care delivery activities from different sources into a set of consistent statistics detailing current expenditures, current revenues, purposes of spending, and source and application of funds in the health care delivery system. It is recognized that this economic framework is only a first stage in establishing a complete health information framework which could link economic with social and demographic data. A sample set of accounts for the province of Ontario in the fiscal year 1977-78 is presented to demonstrate the feasibility of establishing such satellite accounts.     

Stochastic generalizations of demand systems with an application to telecommunications

Systems of demand equations are considered for at least two reasons. First, they offer a theoretical completeness, and second, they embody a number of restrictions which lead to a more parsimonious specification concerning the number of parameters. As it turns out, the quantity and quality of the data are often such that the demand systems considered are not restrictive enough in the sense that large numbers of parameters still remain which cannot be estimated with ‘great precision’. Paradoxically, the restrictions that are considered are often rejected by the data.In this paper we propose a system of random coefficient telecommunications demand equations in a panel data framework. These equations correspond to alternative ways (which have different costs) of placing a call. The system is formulated in such a way that it incorporates the homogeneity condition, as well as stochastic versions of the symmetry and weak separability restrictions. The stochastic versions are given in terms of moments and so they do not have to hold in each individual case. Under certain conditions they reduce to their deterministic counterparts. Finally, we empirically implement the model and compare the results to what they would be in a corresponding deterministic framework.     

Diffusion of organisational innovations: an empirical test of an analytical framework

Alänge, Jacobsson, and Jarnehammar (1998) presented an analytical framework for studying the diffusion of organisational innovations, based on the developments in literature on technical innovations and their diffusion. The aim of this paper is to examine the validity of the framework. Two exploratory case studies were carried out on the diffusion of the organisational innovation TQM. The case studies showed that the framework is a useful tool for studying the diffusion of organisational innovations. However, factors such as learning processes on a national and international level and the role of fads need further consideration. In addition, factors needed for a long-term commitment such as boards and owners and internal political and cultural systems need to be further investigated. The paper also presents a model for analysing the different phases in a diffusion process.     

货币政策透明度指数:理论方法与实证检验

文章通过建立货币政策透明度指数,并利用我国金融市场的利率数据进行检验,认为我国中央银行在基准利率调整和准备金率改变等重大政策决策上,货币当局更倾向于采用模糊的政策操作方式,由此可能会导致市场预期的混乱,并最终对政策实施效果产生负面影响。因此,我国有必要借鉴西方国家的政策操作经验,进一步有选择地增加货币政策操作的透明度,并借以最终建立一个简单透明、效率更高的政策调控框架。     

基于不同视角的住房需求研究述评

本文以住房理论描述为线索,从不同角度总结了1960年以来住房需求分析框架。研究发现：1960年以来,住房需求领域的分析框架非常稳定,即以新古典消费者行为理论为指导,构建效用函数和预算约束,根据效用最大化原则推导需求函数,然后进行参数估计和弹性分析。分析技术（如模型构建、变量操作415）的进展和数据质量的提高是推进研究深入的主要动力及进一步的研究方向。     

Beyond inducement in climate change: Does environmental performance spur environmental technologies? A regional analysis of cross-sectoral differences

This paper contributes to the debate on the inducement of environmental innovations by analyzing the extent to which endogenous inducement mechanisms spur the generation of greener technologies in contexts characterized by weak exogenous inducement pressures. In the presence of a fragile environmental regulatory framework, inducement can indeed be endogenous and environmental innovations may be spurred by firms' reactions to their direct or related environmental performance. Cross-sector analysis focuses on a panel of Italian regions, over the time span 2003–2007, and is conducted by implementing zero-inflated regression models for count data variables. The empirical results suggest that in a context characterized by a weak regulatory framework, such as the Italian one, environmental performance has significant and complementary within- and between-sector effects on the generation of green technologies.     

A framework for agro-terrorism intentions detection using overt data sources

Agro-terrorism is a hostile attack, towards an agricultural environment, including infrastructures and processes, in order to significantly damage national and international political interests. This article provides a framework for reducing agro-terrorism-related risks by either means of foresight (prevention) or early detection of exotic/foreign pathogenic agents and their dispersion patterns. It focuses on intention detection using overt data sources on the World Wide Web as they relate to agro-terrorism threats. The paper defines agro-terrorism, examines data characteristics, identifies weaknesses among the intelligence community that must be addressed, then integrates the classical intelligence cycle for early detection that may lead to prevention of such acts.