THE IMPORTANCE OF LEGAL FORM OF ORGANIZATION ON SMALL CORPORATION EXTERNAL FINANCING

This article quantitatively evaluates the impact of legal form of organization (LFO) choices, C versus S corporation, on small business external financing. A treatment effect model is formulated and estimated to examine the relationship between corporate types and chances of obtaining external financing. The estimation takes into account self‐selection bias associated with LFO choices. This article finds that LFO choices mainly affect small corporations' access to external equity capital, but have no significant impact on loan financing. Specifically, when a small corporation selects the C corporate legal form, the probability of obtaining new external equity is eight times higher compared to when it selects the S corporate legal form. Furthermore, the results suggest that better access to external equity investments, loosening business capital constraints, leads to better growth prospects for small C corporations. These empirical results have important macro‐economic implications on corporate financial and fiscal policies. (JEL G32, G38)     

从教师专业实践能力发展反观高校与幼儿园的双向融合

当前，打通高校教师理论研究与基层一线教师专业发展瓶颈是总体提升我国教育质量的高效之举，教育的实践性本质也决定了高校教师的理论研究与一线教师的教育实践必须坚持双向融合的道路。实现校园双向融合既要积极构建教师发展共同体，还要积极探索有深度和广度的教研机制，并搭建开放、多元、创新的资源平台。     

全域旅游视角下的天府旅游名县竞争力研究——以四川省县域城市为例

天府旅游名县创建是按照全域旅游发展理念开展的，以建设世界重要旅游目的地为目标的建设工程。文章在系统整理旅游目的地竞争力主要研究成果基础上，建立15个天府旅游名县竞争力评价指标，基于可量化数据，采用主成分和聚类分析方法，对进入天府旅游名县的40个县(市、区）进行实证研究。结果显示，旅游核心竞争力、旅游发展规模、旅游综合实力、非优势资源品牌创建能力等因素是构成天府旅游名县评判的主要因子；从空间结构上看，呈现成都平原最强，川西、川北居中，川南最弱的局面；从创建动力上看，不应仅关注创建结果，而应通过创建工作，促进县域经济综合发展水平和城市发展潜力提升。     

汽车产业链演化机理及影响因素研究

汽车产业链是汽车产业重要组织模式,其演化与整合升级对汽车产业发展具有重要意义。本文从汽车产业链演化动因出发,重点分析汽车产业链演化过程,分析归纳影响汽车产业链演化影响因素。在此基础上,以东北地区汽车产业为例,运用主成分回归分析方法对汽车产业链演化影响因素进行实证检验,结果表明各影响因素与东北地区汽车产业链演化发展水平存在不同方向和程度的相关关系。     

师范生养成教育与职业道德培养一体化管理模式探究 ——基于对福建幼儿师范高等专科学校的调查与分析

以师范生养成教育为切入点，对福建幼儿师范高等专科学校应届毕业生、毕业5年以上在职教师、幼儿园园长开展问卷调查。调查表明，通过日常行为管理促进师范生养成教育,对日后成为一名合格教师具有积极的意义，并得到园长、在职教师的认可。但在校生认同度不高，促使我们反思当前学生管理工作，不断改进、完善。继而进一步探索研究师范生养成教育与职业道德培养一体化管理。     

国内与国际英语词表比较研究

按照每级词族数量相等的原则将RANGE BNC词表与国内词表分成四个等级,分别比较国内外两个词表的重合度以及不同的词汇表测量的词汇量对二语学习者英语水平的区分度。通过比较两个词表的异同,对未来国内词表的修订与完善、构建与研究提供了有益的启示。     

传说与历史之间——金代始祖函普研究

金代始祖函普兄弟由高丽迁徙分居各地,始祖函普调解完颜部内部血族争斗并确立赔偿之约的习惯法,娶完颜部贤女扩大宗族,凝聚部落。本文主要考证梳理始祖函普的生平及其当政时间问题、家室与族属问题、回归完颜部问题与历史功绩问题;探讨始祖函普传说历史化的过程,这对弄清金代来源演变问题以及朝鲜半岛与中国关系问题有着重要的意义。     

Optimal RSUs deployment with delay bound along highways in VANET

In order to broadcast an alert message from the accident site to the control center as soon as possible, the roadside units (RSUs) act as the critical component in vehicular ad hoc networks (VANETs). It is not possible to make a pervasive RSU deployment due to the huge cost and market requirement. Hence, how to deploy a minimum number of RSUs in a given region becomes a challenge problem. In this paper, we present an analysis for the total delay of broadcasting alert messages in VANETs along highways. Based on the analysis, the relationship between optimal number of RSUs with the highway distance is given. Moreover, the experiment results verifies the delay analysis and the optimization of RSUs deployment.     

外商直接投资与中国雾霾污染

本文利用1998-2012年中国30个省份的空间面板数据,采用Moran‘s I和Gear's C指数对FDI与雾霾(PM2.5)污染进行了探索性空间数据分析,并基于EKC假说构建了空间面板数据模型,将经济地理嵌套权重矩阵、经济地理权重矩阵纳入静态和动态空间面板模型进行分析.实证结果发现:①相对于静态空间面板模型,动态空间计量模型能更为准确地拟合FDI对我国雾霾(PM2.5)浓度的影响过程,雾霾(PM2.5)污染表现出显著的“叠加效应”和“溢出效应”.②在经济地理嵌套权重矩阵和经济地理权重矩阵下,FDI流量每升高1％,PM25浓度分别升高0.0174％和0.0161％.FDI存量每升高1％,PM2.5浓度分别升高0.0177％和0.0163％,表明FDI是导致雾霾(PM25)浓度升高的影响因素之一,说明了我国目前吸引和利用FDI离环保目标的最优水平还有一定距离.     

A three-stage variable selection method for supersaturated designs

A supersaturated design (SSD) is a design whose run size is not enough for estimating all main effects. Such a design is commonly used in screening experiments to screen active effects based on the effect sparsity principle. Traditional approaches, such as the ordinary stepwise regression and the best subset variable selection, may not be appropriate in this situation. In this article, a new variable selection method is proposed based on the idea of staged dimensionality reduction. Simulations and several real data studies indicate that the newly proposed method is more effective than the existing data analysis methods.