乡村旅游助力乡村振兴的逻辑机理、现实困境与突破路径

在全面推进乡村振兴战略的背景下,发展高质量的乡村旅游具有重要的现实意义。乡村旅游的人口反虹吸效应、经济提振效应和基建带动效应能够与乡村振兴战略之间形成有效衔接,并推动乡村振兴战略的顺利实现。然而,在两者衔接的路径中,乡村旅游业又存在市场发育不健全、产业联动效应不明显以及战略衔接不系统的问题。通过在微观、中观和宏观层面的多层次分析,乡村旅游助力乡村振兴战略的改革路径为:微观层面以市场培育为核心,兼顾生态文明、创新竞争、可持续发展等重点领域;中观层面积极发挥政府的产业引导作用,探索现代化农业、轻工业和第三产业的系统发展模式;宏观层面以中央政策为核心,因地制宜论证各项战略在本区域的有效衔接路径。     

中国城市资本回报率的“俱乐部收敛”现象及其原因

将关于中国区域资本回报率的研究从省级层面拓展到地级市层面,有助于厘清中国区域发展的“南北分化”“一市独大”等问题。通过对321个地级以上城市2000—2018年数据的实证研究,发现城市间的资本回报率差距总体在扩大,但其中也出现了一些“俱乐部收敛”现象：从城市等级看,直辖市、副省级城市、省会城市、地级市分别出现了俱乐部收敛;从城市群看,京津冀、长三角、成渝、长江中游、中原、呼包鄂榆、兰西城市群各自出现了俱乐部收敛。进一步研究发现,资本有机构成的趋同是这些城市群体资本回报率收敛的一个重要原因。这意味着,在促进资源要素向资本回报率更高的中心城市、城市群集聚的同时,加强区域内、区域间科技合作,实现技术进步速度在更大范围内趋同,是改善中国整体资本回报率的关键。     

解决幼小课程衔接问题的途径探索：幼小课程取向的重新定义

幼小衔接是指幼儿园与小学之间的衔接,很多幼儿在此阶段都会出现适应性困难,进而有可能影响到之后的学业成功和人格结构。而课程衔接是幼小衔接的重要内容之一,解决幼小衔接问题可先从幼小课程衔接问题入手。课程取向作为课程的理念体系,会对课程目标、课程内容、教学方法、课程评价产生决定性影响。要想解决幼小课程衔接问题,可尝试改变幼小课程的课程取向,建立新的课程目标、课程内容、教学方法和课程评价。     

M-Estimation in the partially linear model with Bernstein polynomials under shape constrains

We develope an M-estimator for partially linear models in which the nonparametric component is subject to various shape constraints. Bernstein polynomials are used to approximate the unknown nonparametric function, and shape constraints are imposed on the coefficients. Asymptotic normality of regression parameters and the optimal rate of convergence of the shape-restricted nonparametric function estimator are established under very mild conditions. Some simulation studies and a real data analysis are conducted to evaluate the finite sample performance of the proposed method.     

Kernel estimations for multivariate density functional with bootstrap

In this article the bootstrap method is discussed for the kernel estimation of the multivariate density function. We have considered sample mean functional and constructed its consistency and asymptotic normality by bootstrap estimator. It has been shown that the bootstrap works for kernel estimates of multivariate density functional. The convergence rate with bootstrap for density has been proved. Finally, two simulations of application are given.     

A Convolution Estimator for the Density of Nonlinear Regression Observations

Abstract. The problem of estimating an unknown density function has been widely studied. In this article, we present a convolution estimator for the density of the responses in a nonlinear heterogenous regression model. The rate of convergence for the mean square error of the convolution estimator is of order n ^?1 under certain regularity conditions. This is faster than the rate for the kernel density method. We derive explicit expressions for the asymptotic variance and the bias of the new estimator, and further a data‐driven bandwidth selector is proposed. We conduct simulation experiments to check the finite sample properties, and the convolution estimator performs substantially better than the kernel density estimator for well‐behaved noise densities.     

Complete convergence for weighted sums of negatively dependent random variables under the sub-linear expectations

In this article, we study complete convergence theorems for weighted sums of negatively dependent random variables under the sub-linear expectations. Our results extend the corresponding results of Sung (2012 Sung, S. H. 2012. A note on the Complete convergence for weighted sums of negatively dependent random variables. Journal of Inequalities and Applications 2012:158, 10 pages. [Google Scholar]) relative to the classical probability.     

Calculation of the Prokhorov distance by optimal quantization and maximum flow

Calculating exact values of the Prokhorov metric for the set of probability distributions on a metric space is a challenging problem. In this paper probability distributions are approximated by finite-support distributions through optimal or quasi-optimal quantization, in such a way that exact calculation of the Prokhorov distance between a distribution and a quantizer can be performed. The exact value of the Prokhorov distance between two quantizers is obtained by solving an optimization problem through the Simplex method. This last value is used to approximate the Prokhorov distance between the two initial distributions, and the accuracy of the approximation is measured. We illustrate the method on various univariate and bivariate probability distributions. Approximation of bivariate standard normal distributions by quasi-optimal quantizers is also considered.     

Formulas for the second-order analysis of marked point processes

Following Ripley, for the second moment measure of stationary isotropic marked point processes in R^destimators are given. Two examples are considered.     

区域文化与闽文学史的建构

作为区域文学史，闽文学的发展轨迹深深烙上了鲜明的地域文化印记。其形成是在静态的福建地域文化和动态的外来文化的双向影响、润渍下完成的。闽文学史的发展是一个在融汇中不断走向疏离的过程。在融汇中，闽文学史走向了成熟；而在不断地疏离中，闽文学史最终获得了新生，从而确立了其作为学科存在的意义。