正确把握新时代坚持和加强党的全面领导的逻辑理路——中国化马克思主义发展思想研究

党的十九大明确作出“坚持和加强党的全面领导”的重大政治论断,并把它作为新时代“党的建设”总要求的首要观点、坚持和发展中国特色社会主义“基本方略”的第一条提出来,这是中国共产党人进行党建工作的基本指导和根本遵循。新时代,正确把握坚持和加强党的全面领导的逻辑理路至关重要,因为这是我们党与生俱来和新时代历史使命的必然要求,是我们党带领人民战胜敌人的强大法宝和克服一切困难风险的定海神针;是执政党持之以恒正风肃纪和紧锣密鼓反腐惩恶的内在需要和客观要求。     

湖湘大地才是炎帝文化的母体——兼与中华炎黄文化研究会商讨“炎帝故里”问题

湖南是原始拜火教的发源地和稻作农业的诞生地,也是炎帝族中心聚落的所在地,湖南才是炎帝文化的母体。中华炎黄研究会认为山西高平是炎帝故里的说法缺乏关键证据支持,因而难以成立。     

农村幼儿园运用家庭和社区资源的纵向调查——以我国西部S省为例

家庭和社区参与的高质量学前教育是乡村振兴计划的基础。通过对我国西部S省农村地区的两次实地调查发现,受该地区园所特点、教育政策和传统观念等的影响,农村地区幼儿园运用家庭和社区资源总体较低但也有所改善,对家庭资源的运用高于社区资源,对社区历史文化资源的运用较为薄弱。基于此结果提出了运用家庭和社区资源是农村幼儿园发展的必然选择;利用政策杠杆发掘农村地区家庭和社区资源;职后培训提高农村幼儿园教师运用家庭和社区资源的实效性等建议。     

传统幼儿游戏在农村幼儿数学教育活动中的应用与价值

游戏是幼儿的天性,是幼儿成长发展的需要。幼儿园教育要以游戏为基本活动,寓教育于幼儿的生活、游戏活动中。农村有得天独厚的自然条件,有丰厚的传统幼儿游戏资源,将这些传统游戏应用于幼儿数学教育活动,达成幼儿数学认知目标,是将幼儿数学教育寓幼儿游戏活动路径的有益探索,在农村幼儿园现有条件下有重要的实践意义和理论价值。     

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。     

中国“三农”问题研究现状及其成果评价——基于国家社科基金项目及其成果论文的计量分析

随着国家社科基金项目对“三农”问题研究的资助力度不断加强,相关研究发展迅速且成果卓著,对此进行整体梳理,既有助于总结以往研究的经验,也有益于相关问题研究的不断深入.文章以1991-2015年立项的3 375项“三农”问题国家社科基金项目及其18 770篇成果论文为研究对象,对项目信息、成果论文、研究热点与评价等方面进行计量分析,全面呈现中国“三农”问题近30年的发展与研究状况.研究表明,农民、新生代农民工、新农村等为“三农”问题的研究热点,有关农民、农民工的论文最受关注且被引频次最高.     

休谟与启蒙运动——基于《人性论》引言的思想史考察

当前对休谟的研究常把他和启蒙运动相隔裂.通过对休谟代表性著作《人性论》引言的分析,可以发现他和法国启蒙思想家共享认识世界的“力学模式”和实验方法,都试图将当时在英格兰兴起的“自然哲学”应用于人类境况,都致力于用对人类生活有用的经验研究所产生的新理论代替传统形而上学.同时,休谟对经验主义方法自身的局限有着更为健全的认识,主张在经验和可观察现象范围内的实验方法.这一认识在我们反思启蒙时极富价值.     

A likelihood ratio test to discriminate exponential–Poisson and gamma distributions

The exponential–Poisson (EP) distribution with scale and shape parameters β>0 and λ∈?, respectively, is a lifetime distribution obtained by mixing exponential and zero-truncated Poisson models. The EP distribution has been a good alternative to the gamma distribution for modelling lifetime, reliability and time intervals of successive natural disasters. Both EP and gamma distributions have some similarities and properties in common, for example, their densities may be strictly decreasing or unimodal, and their hazard rate functions may be decreasing, increasing or constant depending on their shape parameters. On the other hand, the EP distribution has several interesting applications based on stochastic representations involving maximum and minimum of iid exponential variables (with random sample size) which make it of distinguishable scientific importance from the gamma distribution. Given the similarities and different scientific relevance between these models, one question of interest is how to discriminate them. With this in mind, we propose a likelihood ratio test based on Cox's statistic to discriminate the EP and gamma distributions. The asymptotic distribution of the normalized logarithm of the ratio of the maximized likelihoods under two null hypotheses – data come from EP or gamma distributions – is provided. With this, we obtain the probabilities of correct selection. Hence, we propose to choose the model that maximizes the probability of correct selection (PCS). We also determinate the minimum sample size required to discriminate the EP and gamma distributions when the PCS and a given tolerance level based on some distance are before stated. A simulation study to evaluate the accuracy of the asymptotic probabilities of correct selection is also presented. The paper is motivated by two applications to real data sets.     

Inference for quantile measures of kurtosis,peakedness, and tail weight

Insight into measures of peakedness, heavy-tailedness, and kurtosis can be gained by studying Ruppert’s ratios of interquantile ranges. They are not only monotone in Horn’s measure of peakedness when applied to the central portion of the population, but also monotone in the practical tail-index of Morgenthaler and Tukey, when applied to the tails. Non-parametric confidence intervals are found for Ruppert’s ratios, and sample sizes required to obtain such intervals for a pre-specified relative width and level are provided. In addition, the empirical power of distribution-free tests for peakedness and bimodality are found for some symmetric distributions.     

Testing Wagner's Law in India: A cointegration and causality analysis

The present study empirically analyzes the validity of Wagner's Law for Indian economy. With the use of annual time series data from 1970–71 to 2013–14, all the six versions of Wagner's Law have been analyzed to test the relationship between government expenditure and gross domestic product. Wagner's Law states that the economic growth is the causative factor of the growth of the public expenditure. The study applied the unit root test and cointegration test to find the long-run relationship between government expenditure and gross domestic product. The present study employed the various econometric techniques such as unit root test, cointegration, and causality analysis for empirical analysis. The empirical analysis under study inferred mixed results of Wagner's Law for Indian economy, where four versions, namely Peacock, Gupta, Guffman, and Musgrave, found valid for Indian economy. The study concluded that the Wagner's Law is valid for the Indian economy except the Pryor and Mann Versions of the Wagner's Law.