转型期中国农村区域消费水平与结构的实证分析

农村消费市场低迷是制约我国经济发展的主要因素。运用主成分聚类方法及Panel Data数据模型,结合1994—2003年的时序截面数据,对我国农村区域消费水平与结构的差异进行静态与动态分析。     

农业企业外包决策影响因素分析及政策启示——以中国农业上市公司为例

外包有利于企业整合生产要素,增强核心力量,实现价值链增值。基于45家农业上市公司2016—2020年的数据,测度了 农业企业外包水平,并实证分析影响其外包决策的因素。结果表明：农业企业的外包水平在样本期整体呈下降趋势,且农业 细分行业的外包程度存在差异,畜牧业类企业的外包水平明显高于林业和渔业类企业。整体上看,外包具有政策延续性,本期 外包程度受到上一期外包水平的影响;市场规模越大,业务外包比例也更高;而交易费用显著抑制了农业企业外包决策。据 此,提出要选择适当的分工组织形式、建立信息流畅的交易平台和营造公平诚信的外包环境等政策建议,为农业企业业务外包 营造良好商业氛围,充分发挥农业外包在带动农业、农村经济发展中的作用。     

民族地区城市流动儿童入学准备水平测评与干预——以贵州省为例

在新型城镇化背景下,民族地区城市流动儿童入学准备具有其特殊性,相关问题亟待研究和解决。通过随机和分层抽样法,在贵州省黔东南苗族侗族自治州、黔南布依族苗族自治州和黔西南布依族苗族自治州等三个少数民族自治州选取100名学龄前流动儿童及21名学龄前非流动儿童作为被试,进而运用儿童入学准备综合测评工具对被试进行逐一测评。研究结果表明:非流动组和流动组儿童入学准备水平总分(M非流动组=40.95±6.88,M流动组=31.17±8.96),即非流动组入学准备水平总分高于流动组儿童。在入学准备的5个方面测试上,流动组在动作技能维度总分略高于非流动组,且不存在显著性差异;而在学习方式、认知与一般认知、情绪与社会性、言语能力等4个维度,流动组均低于非流动组且存在显著性差异或边缘显著。针对民族地区城市流动儿童入学准备中存在的问题,需加强社会各界的关注与扶持,充分利用家庭资源,坚持普及学前教育,持续推进普惠性幼儿园建设进程,完善学前教育入学准备评估体系。     

多元主体环境责任协同水平的地区差异与动态演进

基于中国30个省、自治区、直辖市（由于数据原因暂未包含西藏和港澳台地区）,构建多元主体环境责任协同水平指标体系,运用复合系统协同度模型,定量测算多元主体环境责任协同水平,并利用Dagum基尼系数和核密度估计方法分析其空间格局和动态演进过程。研究结果表明：中国各地多元主体环境责任协同水平整体偏低,呈现出逐年上升的趋势;环境责任协同水平空间分布的总体差异呈波动扩大趋势,地区间差距是总体差异的主要空间来源;环境责任协同水平的地区差异呈上升态势,东部、中部和西部三个地区的环境责任协同水平呈两极分化态势。     

基层治理中党建引领力的构成及其提升路径——从基层组织能力视角分析

基层治理中的基层组织能力是其“三阶”能力或“两层”能力的集合。从基层组织能力视角来看,基层治理能力来源于基层组织能力,由各基层组织治理能力整合而成。各基层组织在治理中职责与能力的差异形成了基层治理能力的同心圆结构。其中,基层党组织以党建引领基层治理的方式履行职责。党建引领基层治理能力即基层党建引领力,是基层治理能力的核心,是基层治理中制度优势更好转化为治理效能的关键。基于新时代党建六方面要求,基层党建引领力包含六个维度的引领,其功能各异,但相辅相成。为化解当前党建引领基层治理面临的问题,各地基层党组织可根据基层党建引领力评估指标的设计指南,因地制宜制定具体评估指标体系,重点推进、协同推进、整体推进,提升基层党建引领力,从而促进基层治理能力的提高,将制度优势更好地转化成基层治理效能。     

安徽省长期护理保险筹资水平精算研究

老龄化程度加剧,失能人数增加,是我国社会面临的一大难题,长期护理保险制度在该问题的解决中发挥着重要的作用。我国长期护理保险筹资机制存在参保主体覆盖面不足、筹资渠道单一、筹资水平高低不等、筹资激励措施缺乏等问题。文章将安徽省参保对象分为城镇职工和城乡居民,并将失能人群分为轻度、中度、重度三个等级,运用国际劳工组织(International Labour Organization,ILO)精算模型中的人口、收入、成本、结果等子模型测算安徽省长期护理保险筹资水平。结果显示,2019年安徽省城镇职工医疗保险参保人群的缴费率为0.14%,城乡居民每年需要缴纳96.77元。结合安徽省长期护理保险筹资水平与我国筹资机制实践存在的不足进行讨论,为安徽省长期护理保险筹资机制的设计提出优化建议。     

Racial classification in criminology: The reproduction of racialized crime

The (re)production of knowledge about crime is cultural in terms of the questions asked, the comparisons made, and the hypotheses selected to explain crime causation. Since criminologists do not operate in a vacuum, any prejudgments, biases, and beliefs acquired before their professional socialization may well persist and affect their approach to research over the course of their academic careers. Because American criminologists live in a society that racializes a number of problem behaviors, including crime, it is conceivable that widely held beliefs about race that predate graduate training will find their way into assumptions about the relationship between race and crime. Such preprofessional beliefs are transformed into facts when they meet with widespread agreement from other criminologists and thus come to be taken for granted in the objective pursuit of knowledge. Crime is racialized, for example, when the criminal behaviors of individual black offenders are understood in terms of racial traits, racial motives, or racial experiences. When traits, motives, or experiences are classified as the property of whole races or racial communities, these conceptions of race assume causal significance in explaining criminal behavior. Because these traits, motives, and experiences are supposedly shared by entire races or race-class categories, the predisposition to criminality becomes generalized beyond individual Black criminals to whole races or racial communities of noncriminal Blacks. When crime is thus racialized, whole communities or whole categories of phenotypically similar individuals are rendered precriminal and morally suspect. In addition, such racializations in academic criminology can be used to justify increased control of individual black criminals in the larger society; these controls can also legitimately be extended to encompass whole communities and whole categories of phenotypically similar persons who are not involved in crime. This paper will address the role that racializing assumptions play in traditional criminological theories.     

Modeling household fertility decisions with generalized Poisson regression

This paper models household fertility decisions by using a generalized Poisson regression model. Since the fertility data used in the paper exhibit under-dispersion, the generalized Poisson regression model has statistical advantages over both standard Poisson and negative binomial regression models, and is suitable for analysis of count data that exhibit either over-dispersion or under-dispersion. The model is estimated by the method of maximum likelihood. Approximate tests for the dispersion and goodness-of-fit measures for comparing alternative models are discussed. Based on observations from the Panel Study of Income Dynamics of 1989 interviewing year, the empirical results support the fertility hypothesis of Becker and Lewis (1973). Received January 7, 1997 /Accepted April 3, 1997     

基于ARTⅡ网络的煤炭资源资产分类研究

本文建立了用于煤炭资源资产分类的ARTⅡ神经网络模型,编制了相应的计算机和软件,并将ARTⅡ模型与模糊分类模型和基于BP网络的分类模型进行了对比分析,实例运行结果表明,用ARTⅡ网络进行分类具有分类稳定、结果可靠等特点。     

信息不完全确定的区域产品模糊区间聚类方法

区域产品分类与选择是区域经济发展中最重要和最基础的工作.在产品选择与分类时,需要确定指标权系数和分类阈值等参数,这在实际应用中是比较困难的.针对这种情况,提出了一种信息不完全确定的区域产品模糊区间聚类方法.该方法构建了指标权系数信息不完全确定的最优模糊区间聚类模型,利用遗传算法和改进的FCM算法联合求解所得优化模型,得到指标权系数、最优聚类中心和最优划分,进而确定各产品所属类别.最后将该方法应用于某区域的产品分类和主导产品的确定中,实例计算说明该方法的可行性和有效性.