我国外商投资区域分布决定因素的动态演变分析

本文以计量经济学方法对20世纪90年代以来我国外商投资区域决定因素进行分析,通过逐步增加变量和两阶段对比研究,重点考察了以人力资本为中心的外资区域分布决定因素的动态演变规律.结果表明,相对于其他变量而言,人力资本是各地区在吸引和利用外资过程中唯一可以有限控制的因素.提高人力资本水平,不仅有利于各地区改善利用外资状况,而且可以形成区域经济发展的持久动力.     

"污染避难所"假说及其在中国的检验

"污染避难所"假说的理论依据是纳入环境要素的H-O理论,认为由于发达国家的环境标准普遍高于发展中国家,故高污染产业必将向发展中国家转移.我国是吸收外资最多的发展中国家,是否已成为"污染避难所"?文中分析了我国影响外商直接投资的主要因素;在此基础上建立外商直接投资区位选择模型并采用我国1999-2002年的相关数据对该假说进行实证检验.分析结果表明我国环境政策强度对外商FDI的流向影响很小,外商对华直接投资并未出现明显的污染产业转移倾向.     

长株潭地区金融发展对产业集群影响的实证研究

产业集群是区域经济增长的内在动力,对优化经济结构和提升区域核心竞争优势起着至关重要的作用。集群的健康快速发展是长株潭“两型”示范区建设的关键路径,这需要金融的有效支持。基于2001-2010年湖南省长株潭地区的面板数据,以金融相关比率与金融效率两个指标测量金融发展水平,对该地区产业集群与金融发展水平二者之间的关系进行了实证分析。研究结果表明,长株潭地区金融发展对该地区产业集群的发展具有正向且显著的促进作用。结合“两型”社会实验区的背景,提出应注重培育和发展“两型”产业集群,从提升金融总量、创新金融服务模式与产品等方面促进集群发展与升级。     

企业迁移研究综述

企业迁移是企业对区位的再选择。出于成本或者出于情感,或者为了获得原料、能源、劳动力等供应,企业考虑在区内或区际进行迁移。另外社会文化环境以及区域发展条件等因素也会诱导企业做出迁移决定。企业迁移对迁出地区和迁入地区的环境承载能力,经济发展水平以及区域产业结构等存在着一定影响。可以进一步研究基于环境承载能力的企业迁移问题,企业迁移和劳动力迁移的共生问题,以及企业迁移与政府空间经济行为的相互影响问题。     

论汴京意象

在宋人的词曲生产过程中 ,汴京不仅是以都城的形象进入生产活动 ,而且更是以一种别致的词学意象进入生产活动。这种词学意象包括京阙意象、长安古道意象、玉京仙子意象三种主要生存形态 ;其流变过程分为晏柳勃兴期、苏黄回潮期、清真鼎盛期、南渡持续期、南宋转型期五个阶段。汴京意象的兴盛与宋人的都城文化意识、地域文化意识、精神家园意识具有内在的联系。     

抗日战争与中国文学地理变迁

抗日战争使中国文学地理发生了两个向度的变迁,一是文学中心的广泛流布;二是形成了色彩迥然不同的文学区域。这些变迁的文学史意义主要在于扩大了新文学的生存空间和传播领域,改善了文学同人民群众的关系,同时为中国文学的多样化发展提供了自足的空间,它们共同构成了中国现代文学多样化发展中的一种特殊表现形式。     

A generalization of mosteller's test

A generalization of Mosteller's test for slippage of the location parameter is proposed. The distribution of the test statistic under the null hypothesis is obtained and the power of the test is compared with that of Mosteller's test     

Comparison of tests for bivariate symmetry versus location and/or scale alternatives

This paper studies the performance of tests which use a null hypothesis of bivariate symmetry and detect the broad class of location and/or scale alternatives . The conditionally distribution-free tests of Sen (1967) and Hollander (1971) and parametric tests related to those of Bell and Haller (1969) are compared in a Monte Carlo study which also includes a new conditionally distribution-free test.     

Estimation of the location and scale parameters of the extreme value distmbution based on multiply type-II censored samples

In this paper, we consider the problem of estimating the location and scale parameters of an extreme value distribution based on multiply Type-II censored samples. We first describe the best linear unbiased estimators and the maximum likelihood estimators of these parameters. After observing that the best linear unbiased estimators need the construction of some tables for its coefficients and that the maximum likelihood estimators do not exist in an explicit algebraic form and hence need to be found by numerical methods, we develop approximate maximum likelihood estimators by appropriately approximating the likelihood equations. In addition to being simple explicit estimators, these estimators turn out to be nearly as efficient as the best linear unbiased estimators and the maximum likelihood estimators. Next, we derive the asymptotic variances and covariance of these estimators in terms of the first two single moments and the product moments of order statistics from the standard extreme value distribution. Finally, we present an example in order to illustrate all the methods of estimation of parameters discussed in this paper.     

An exact density-based empirical likelihood ratio test for paired data

The Wilcoxon rank-sum test and its variants are historically well-known to be very powerful nonparametric decision rules for testing no location difference between two groups given paired data versus a shift alternative. In this title, we propose a new alternative empirical likelihood (EL) ratio approach for testing the equality of marginal distributions given that sampling is from a continuous bivariate population. We show that in various shift alternative scenarios the proposed exact test is superior to the classic nonparametric procedures, which may break down completely or are frequently inferior to the density-based EL ratio test. This is particularly true in the cases where there is a nonconstant shift under the alternative or the data distributions are skewed. An extensive Monte Carlo study shows that the proposed test has excellent operating characteristics. We apply the density-based EL ratio test to analyze real data from two medical studies.