我国整车与零部件产业共聚的空间分布研究

本研究利用我国整车与零部件产业2002～2012年的数据,分析了中国整车和零部件产业协同共聚的空间布局及其空间演化趋势,以期为我国汽车、零部件产业和区域经济发展提供借鉴意义。研究发现：我国整车产业布局与零部件产业布局存在显著的空间相关性;2002年我国省域样本中,山东、安徽、北京与天津的整车与零部件产业空间共聚趋势明显;而在2012年的样本中,辽宁、北京、天津、河北、湖北、安徽、江苏的共聚趋势明显,这些省份逐步形成了2个整车与零部件空间上协同共聚的群落,一个是以北京为中心,天津、河北、辽宁环绕的共聚群;另外一个则是以安徽为中心,湖北、江苏环绕的共聚群。     

国际生产分割视角下的中国双边贸易平衡--以东亚经济体为例

为了解释中国近年来对东亚经济体贸易逆差持续地增加的现象,文章在国际生产分割背景下,分别基于总体、国家（地区）和行业视角,对1992—2012年中国与东亚8个经济体间的零部件贸易面板数据进行实证分析。结果表明：中国作为东亚国际生产网络中的枢纽,从日韩等东亚经济体进口零部件会显著扩大中国对东亚经济体的贸易逆差,其中以ICT行业最为典型;生产分割效应弱化了汇率对双边贸易平衡的影响。只要中国在国际生产分割中所扮演的角色不变,中国对外贸易总体顺差和区域性逆差的局面将会持续存在。     

Fundamentals and Exchange Rate Prediction Revisited

This paper measures latent fundamental exchange rates with independent component‐based rates constructed from a cross‐section of exchange rates and then uses their deviations from exchange rates to forecast. Empirical results indicate that the independent component‐based model and its Taylor rule and purchasing power parity augmented models are superior to the random walk in predicting exchange rates. These results are robust to several scenarios and are likely to be observed if the U.S. sources and the recursive scheme are applied. Our results reveal that information regarding the third moment of exchange rate changes is helpful to explain exchange rate movements.     

基于FAHP-CRITIC和VIKOR法的PC构件供应商评价选择方法

选择优质合适的PC构件供应商是装配式建筑项目顺利开展的关键。针对PC构件供应商的评价选择问题,提出一种基于FAHP-CRITIC和VIKOR法的评价选择方法。基于包括性能、价格、供货、企业发展及合作5个方面的构件供应商评价指标体系,采用FAHP与CRITIC法分别确定了各评价指标的主、客观权重,采用基于理想点法的组合权重赋权法确定其组合权重;基于此,采用VIKOR法计算出待选供应商的综合评价值并进行优劣排序;最后,通过算例验证了本选择决策方法的实用性与科学性。研究成果可为PC构件采购商提供科学的选择方法,同时也可为PC构件的供应商进一步提升竞争力提供参考。     

中国企业技术获取型对外直接投资风险量化与评估

为了更好的防范技术获取型对外直接投资的风险,本文在考量政治风险、经济风险和文化风险的基础上,结合技术获取型对外直接投资的特点,加入技术风险指标,对中国企业技术获取型对外直接投资风险进行量化与评估。首先,采用主成分分析法量化风险;然后,通过聚类分析法评估风险等级。实证研究结果表明：2003～2011年期间,20个样本国家中,低风险国家都是发达国家;中等风险国家有4个,其中只有1个是发展中国家;高风险国家全都是发展中国家,包括印度、南非、墨西哥、巴西和俄罗斯;2008年后,多数发展中国家的风险在不断改善,但很多发达国家的风险却逐渐上升。因此,中国企业应针对不同东道国的风险变化特点,采取措施规避风险。     

An alternative definition of individual bioequivalence

Several definitions of individual bioequivalence of two formulations of a medical treatment (drug) have been proposed recently. These definitions attempt to adapt the criterion of average bioequivalence, which would be deficient if substantive treatment heterogeneity were present. In some of the proposed definitions, relatively large differences of means can be compensated by differences in the measurement-error variances. We propose a definition based on a simple latent-variable model which overcomes this anomaly and need not involve the U.S. Food and Drug Administration's 80/125 rule. Our approach is based on a moment-matching estimator of the discrepancy between the outcomes underlying the subjects' responses. The distribution of this estimator is a linear combination of independent χ² variates; asymptotically, it can be approximated by a normal distribution. Evidence of individual bioequivalence corresponds to rejecting the hypothesis that the discrepancy is greater than a specified threshold. The approach is illustrated by reanalysing two bioequivalence trials.     

Forecasting inflation in China

This paper forecasts inflation in China over a 12-month horizon. The analysis runs 15 alternative models and finds that only those considering many predictors via a principal component display a better relative forecasting performance than the univariate benchmark.     

我国国防供给可持续发展状况分析

建国以来,我国国防建设与经济建设是否相协调是一个很值得研究的问题。本文从作为国防供给的国防费角度出发,运用统计方法进行了定量分析,从而对1952—2005年间的国防供给可持续发展状况做出了基本判断。     

从零部件贸易看中日韩分工差异

本文以中国为研究对象,对中国在日韩市场上零部件生产和组装的比较优势的分布、结构和变迁情况进行了细致梳理。通过分析扩展的RCA指标,得出结论,针对日韩两国市场而言,中国在零部件生产上的比较优势总体上呈增强趋势;在组装业务上,中等技术零部件逐渐呈现萎缩态势,而高技术零部件组装的比较优势正在扩大。随着时间的推移,中国同日韩两国之间的生产共享加强,而生产和组装结构也在一定程度上呈现出升级态势。     

Estimators for the common principal components model based on reweighting: influence functions and Monte Carlo study

The common principal components model for several groups of multivariate observations is a useful parsimonious model for the scatter structure which assumes equal principal axes but different variances along those axes for each group. Due to the lack of resistance of the classical maximum likelihood estimators for the parameters of this model, several robust estimators have been proposed in the literature: plug-in estimators and projection-pursuit (PP) type estimators. In this paper, we show that it is possible to improve the low efficiency of the projection-pursuit estimators by applying a reweighting step. More precisely, we consider plug-in estimators obtained by plugging a reweighted estimator of the scatter matrices into the maximum likelihood equations defining the principal axes. The weights considered penalize observations with large values of the influence measures defined by Boente et al. (2002). The new estimators are studied in terms of theoretical properties (influence functions and asymptotic variances) and are compared with other existing estimators in a simulation study.