How does distance affect market entry mode choice? Evidence from French companies

The objective of this article is to examine the relevant dimensions of distance for foreign market entry mode choice. Based on a sample of 203 interfirm linkages formed by French multinationals with partners across the world, we analyze the impact of four dimensions of distance on the choice between cooperative alliances and mergers-acquisitions. The findings indicate that administrative and economic distance have a significant influence on market entry mode choice, whereas the impact of cultural and geographic distance is not significant. They further highlight the important role of the host country's government effectiveness for market entry mode decisions.     

中国货币供给的内生性与货币政策分析

从我国经济的短缺、过剩或转轨形态来看 ,我国的货币供给呈现很强的内生性 ,因此 ,货币政策应采取需求性的货币调控模式。相应地 ,货币政策的中介指标应选择利率而不是单纯的货币供应量。同时 ,利率改革的方向也不能单纯地瞄准完全的市场化利率体系 ,而应该是建立一种对利率进行间接调控的利率体系     

Bayesian modelling of catch in a north-west Atlantic fishery

Summary. We model daily catches of fishing boats in the Grand Bank fishing grounds. We use data on catches per species for a number of vessels collected by the European Union in the context of the Northwest Atlantic Fisheries Organization. Many variables can be thought to influence the amount caught: a number of ship characteristics (such as the size of the ship, the fishing technique used and the mesh size of the nets) are obvious candidates, but one can also consider the season or the actual location of the catch. Our database leads to 28 possible regressors (arising from six continuous variables and four categorical variables, whose 22 levels are treated separately), resulting in a set of 177 million possible linear regression models for the log-catch. Zero observations are modelled separately through a probit model. Inference is based on Bayesian model averaging, using a Markov chain Monte Carlo approach. Particular attention is paid to the prediction of catches for single and aggregated ships.     

Estimation of generalized linear latent variable models

Summary.  Generalized linear latent variable models (GLLVMs), as defined by Bartholomew and Knott, enable modelling of relationships between manifest and latent variables. They extend structural equation modelling techniques, which are powerful tools in the social sciences. However, because of the complexity of the log-likelihood function of a GLLVM, an approximation such as numerical integration must be used for inference. This can limit drastically the number of variables in the model and can lead to biased estimators. We propose a new estimator for the parameters of a GLLVM, based on a Laplace approximation to the likelihood function and which can be computed even for models with a large number of variables. The new estimator can be viewed as an M -estimator, leading to readily available asymptotic properties and correct inference. A simulation study shows its excellent finite sample properties, in particular when compared with a well-established approach such as LISREL. A real data example on the measurement of wealth for the computation of multidimensional inequality is analysed to highlight the importance of the methodology.     

A Semi-parametric Regression Model with Errors in Variables

Abstract.  In this paper, we consider a partial linear regression model with measurement errors in possibly all the variables. We use a method of moments and deconvolution to construct a new class of parametric estimators together with a non-parametric kernel estimator. Strong convergence, optimal rate of weak convergence and asymptotic normality of the estimators are investigated.     

FDI对我国经济增长的实证分析

就外商直接投资(FD I)对我国经济增长的影响这一焦点问题,国内学者从定性采用多指标和从定量使用传统的基于普通最小二乘法(O LS)下的计量经济模型两个方面进行了比较详尽的研究。本文在现有文献基础上进行了尝试性创新,使用O LS法进行回归分析时,考虑了数据的平稳性问题,进行了数据的平稳性检验,并运用科克伦-奥克特(C ochrane-O rcutt法)方法纠正了可能存在的虚假回归现象,从而使估计结果更加稳健,结论也更加合理。     

Joint impact of multiple observations on a subset of variables in multiple linear regression

In multiple linear regression analysis, each observation affects the fitted regression equation differently and has varying influences on the regression coefficients of the different variables. Chatterjee & Hadi (1988) have proposed some measures such as DSSE_ij (Impact on Residual Sum of Squares of simultaneously omitting the ith observation and the jth variable), F_j (Partial F-test for the jth variable) and F_j(i) (Partial F-test for the jth variable omitting the ith observation) to show the joint impact and the interrelationship that exists among a variable and an observation. In this paper we have proposed more extended form of those measures DSSE_IJ, F_J and F_J(I) to deal with the interrelationships that exist among the multiple observations and a subset of variables by monitoring the effects of the simultaneous omission of multiple variables and multiple observations.     

文化产业数字化内生生长与外生协同创新的进化机理研究

数字经济与国家文化新基建的发展驱动了以数字文化体验为代表的文化消费新范式,因而产生了革新文化消费渠道和场景、创新智能文化装备制造、打通异构文化数据资源库、完善数字化公共文化服务等亟待解决的产业发展新需求。文化产业数字化内生生长要求立足产业内部视角,打造文化产业供给侧改革、文化智能装备制造、文化创作开发、文化数字化治理、文化创客协同等五大引擎。文化产业的外生协同需在文化消费营销创新、文化大数据平台建设和产业融合发展等多点发力,要开展跨界、跨学科、跨组织的循环互动,构建文化产业数字化内外双循环驱动的创新机制,灵活应对数字化时代的新挑战。     

企业战略联盟风险防范体系的架构研究

在对企业战略联盟存在的风险及规避措施进行理论透析的基础上,给出了企业战略联盟伙伴选择机制的权值排序模型。提出了企业战略联盟的3种风险防范整合架构,并论述了三者之间的相关关系。最后通过实例对企业战略联盟伙伴选择机制的权值排序模型和风险防范整合体系进行了验证。     

优先级债务与次级债务的激励效应

把通货膨胀率和红利支付率融入优先级债务和次级债务的激励效应模型. 利用期权的 对策论分析方法,给出了优先级债务、次级债务、股票和公司价值的解析评价公式,并分析了通 货膨胀率和红利支付对公司的破产决策、次债务的发行决策,以及对股东和债权人之间财富转 移的重要影响. 说明了通胀率和红利支付率在实际借债合同中是不能被忽略的因素.