日本对华直接投资影响因素研究

本文借助于计量经济模型,以1985-2002年的统计数据为基础,对日本对华直接投资的决定性因素进行实证分析。结果表明,日本对华直接投资的主要影响因素包括中国市场容量、中日双边贸易、实际汇率和中日实际工资差异。通过对模型中各变量的比较和归纳,日本对华直接投资动机整体上可以综合为两个方面:一是日本的对外直接投资作为贸易主导型对外直接投资,以扩张本国的边际产业为直接目的;二是中国巨大的市场是吸引日本跨国公司对华直接投资的重要原因。     

我国外资利用效率——基于Oa模型的实证研究

我国外资利用效率如何是一个值得大家思考的问题,而目前国内这方面的专门性研究成果却非常匮乏。本文基于外资利用规模和结构两个方面,选取7个考核指标:外资投资项目规模、利用方式、投向产业、吸收就业、企业类型、地区流向和来源地域,遵照循序渐进和综合协调发展的原则,构建外资利用效率评估模型。在国内首次对1998-2003年我国外资利用效率进行了定量实证研究,并据此提出相应的对策建议。     

外商直接投资行业分布对中国能源消费影响的实证分析

运用指数因素分析法将中国各行业能源消费指数分解为外商直接投资（FDI）数量效应、FDI行业分布效应和投资能源强度效应，拟揭示FDI行业分布对中国能源消费的影响。研究认为，FDI行业分布对中国能源消费影响较大并呈现加强态势。因此，通过制定合理的产业政策引导FDI的行业分布，可以有效地降低中国能源消费。     

CAFTA条件下广东对外贸易发展的战略选择

从双边贸易的互补性和竞争性分析得出,广东与东盟双边贸易基础较好,同时存在较大的互补性和竞争性,因此发展潜力巨大。在新的国际国内环境下,广东应克服外贸发展的瓶颈,充分利用CAFTA建立的契机,调整产业结构、加快产业升级、实施外贸市场多元化和"走出去"战略,将经贸发展提升至一个新的水平。     

我国国际贸易中环境成本转移的实证分析

本文从环境成本转移的概念出发,利用统计数据,计算我国进出口贸易中的环境成本,进而分析贸易对环境的影响。结果表明,污染密集型产业的产品出口在我国占主要优势,且出口增长加重了对环境的污染。在进口贸易中,化学工业、采矿业、塑料、橡胶制品业和金属制品业的净进口向国外转移了最多的环境成本;纺织业与电气机械及器材制造业产品的净出口则向我国转移了最多的环境成本。     

产业集群对创意企业盈利及成长的影响研究——基于浙江创意产业集群的实证分析

目前关于创意企业盈利及成长问题的研究仅局限于个别的静态分析,还没有进行相关的动态研究。实际上,在创意产业集群发展的不同阶段,其内部协作各要素对企业盈利及成长的影响是不尽相同的,因此,要想深入理解产业集群环境中的创意企业协作共赢问题,就必须要在一个较长的时间跨度内来考察集群企业盈利及成长的动态变化。现阶段,产业集群内创意企业协作行为研究还未形成明确的研究路径。正是在这样的背景下,本研究通过利用收益分配的博弈模型,通过实证研究来动态地分析产业集群对创意企业盈利及成长的影响。     

Determinants of Store Brand Share

Private labels or store brands have witnessed considerable growth in the last few decades, especially in grocery products. However, market shares of store brand vary considerably across categories, markets, and countries. A natural question of interest to academics and practitioners is what factors influence store brand market shares. Drawing on a utility framework, we develop 21 consumer, manufacturer, retailer, and product-market characteristics that can influence store brand share. We test the empirical generalizability of the effect of these determinants through a meta-analysis of data from 54 individual and aggregate market studies. Twenty of the 21 determinants show significant, empirically generalizable effects. We discuss the key findings, their implications, and directions for future empirical research.     

Should retailers harmonize marketing variables across their distribution channels? An investigation of cross-channel effects in multi-channel retailing

Retailers with more than one channel of distribution have to decide whether marketing variables such as conveyed image, price, and assortment should be harmonized across channels. This article presents an integrative model and survey results that shed light on this question; its focus is on stores, online shops, and catalogs. The results show that harmonization of marketing variables has advantages and disadvantages: on the one hand, it correlates positively with overall customer loyalty and cross-channel customer retention, i.e., one channel causes more sales in other channels. On the other hand, it also correlates positively with cannibalization within the distribution system. This suggests that general recommendations strictly favoring or disfavoring harmonization do not account sufficiently for the complexity of the problem and retailer heterogeneity.     

Investment decisions with financial constraints. Evidence from Spanish firms

This paper analyses to what extent the rejection of the investment dynamics implied by the Euler equation model with quadratic and symmetric adjustment costs can be attributed to the fact that the investment behavior of some firms in some periods is financially constrained by the availability of internal funds. I use a hierarchy of finance model which assumes that internally generated finance for investment is available at a lower cost than external finance, and implies the existence of distinct financial regimes depending on the firm’s financial policy. I estimate the empirical investment equation derived from the model using GMM, taking into account the endogeneity of the selection and allowing for debt finance, imperfect competition and the existence of a possible measurement error in the user cost of capital. The empirical results suggest that the Euler equation model is not seriously misspecified for a sub-sample of firms pursuing a particular financial policy.     

Risk Interpretation of the CAPM's Beta: Evidence from a New Research Method

This study tests the validity of using the CAPM beta as a risk control in cross‐sectional accounting and finance research. We recognize that high‐risk stocks should experience either very good or very bad returns more frequently compared to low‐risk stocks, that is, high‐risk stocks should cluster in the tails of the cross‐sectional return distribution. Building on this intuition, we test the risk interpretation of the CAPM's beta by examining if high‐beta stocks are more likely than low‐beta stocks to experience either very high or very low returns. Our empirical results indicate that beta is a strong predictor of large positive and large negative returns, which confirms that beta is a valid empirical risk measure and that researchers should use beta as a risk control in empirical tests. Further, we show that because the relation between beta and returns is U‐shaped, that is, high betas predict both very high and very low returns, linear cross‐sectional regression models, for example, Fama–MacBeth regressions, will fail on average to reject the null hypothesis that beta does not capture risk. This result explains why previous studies find no significant cross‐sectional relation between beta and returns.