Globalization, marketing resources, and performance: Evidence from China

Two important areas are underexplored in the relationship between marketing resources and performance. First, the subject has been primarily investigated in the context of Western countries, and inadequate attention has been given to emerging economies. Second, despite the recent growth in globalization, the moderating role of globalization on the link between marketing resources and performance has not been investigated. Addressing these important gaps, this article focuses on an emerging economy (China) and explores the moderating effect of globalization on this link. Specifically, the authors develop several hypotheses highlighting the moderating role of globalization activities (global product sourcing, global market seeking, and global partnership) on the link between marketing resources (market orientation, entrepreneurial orientation, and innovative capability) and firm performance. The findings of the moderating role of globalization provide several important implications for marketing theory development and managerial practice. Xueming Luo (luoxm@uta.edu) is an assistant professor in the Department of Marketing in the College of Business Administration at the University of Texas at Arlington. Before joining the University of Texas at Arlington faculty, he was on the faculty of the State University of New York at Fredonia. His research has appeared in various journals, including theJournal of Business Research, the International Journal of Research in Marketing, the Journal of Advertising Research, the Journal of Interactive Advertising, and Industrial Marketing Management. K. Sivakumar (Ph.D., Syracuse University; k.sivakumar@lehigh. edu) is the Arthur Tauck Professor of International Marketing & Logistics and a professor of marketing at Lehigh University. Prior to joining Lehigh in 2001, he spent 9 years at the University of Illinois in Chicago. His research interests include pricing, global marketing, and innovation management. His research has been published or is forthcoming in theJournal of the Academy of Marketing Science, the Journal of Marketing, the Journal of International Business Studies, Decision Sciences Journal, Marketing Letters, the Journal of Business Research, International Marketing Review, the Journal of Product Innovation Management, Pricing Strategy & Practice: An International Journal, Psychology & Marketing, and other publications. He has won several awards for his research (including theDonald Lehman Award) and is on the editorial board of several scholarly journals. He has won outstanding reviewer awards from two journals. Sandra S. Liu (liuss@purdue.edu) is an associate professor in the Department of Consumer Sciences and Retailing at Purdue University. She received her Ph.D. from the University of London, and her current research interest focuses on strategic marketing issues in the context of customer contact, including knowledge management in a corporation in transition and sales management in a knowledge economy. With her extensive industry experience, she has written a number of books and journal articles, which have appeared in theInternational Journal of Research in Marketing, the Journal of Business Research, theEuropean Journal of Marketing, Marketing Intelligence and Planning, among others.     

The Austrian current account deficit: Driven by twin deficits or by intertemporal expenditure allocation?

The evidence presented in the paper rejects the twin deficit hypothesis for the Austrian current account balance during the last two decades. The results are based on an estimate of a vector error correction model including quarterly data for the current account balance and potentially relevant variables driving its dynamics. We compute the variance decomposition of the current account's forecast error and its generalized impulse responses to shocks in the innovations of the system. The results in favor of intertemporal expenditure reallocation cannot be reproduced within a second analysis including the current account and a measure of net output, however. The estimated implicit current account balance, interpreted as the discounted expected change in future net output, does not follow the actual behaviour of the current account. First version received: June 1999/Final version received: March 2001     

汇率和需求不确定下跨国投资决策的实物期权分析

在对实物期权理论和跨国投资相关文献研究基础上,分析企业在汇率和需求不确定条件下跨国投资的风险和期权特征,构建了基于实物期权思想的跨国投资决策模型。通过数值求解,分析了跨国投资情况下,企业拥有的实物期权价值。     

盾构机姿态参数测量技术研究

根据三点决定一个平面的原理,通过在盾构机中体上布置测量控制点,对其三维坐标进行测量;根据空间解析几何原理,推导出盾构机刀盘中心三维坐标以及俯仰角、横摆角、扭转角的计算方法。文章利用计算机的伪随机函数对盾构机姿态参数的测量精度进行了模拟评价,探讨了提高测量精度的方法。结果表明,盾构姿态参数的测量误差均服从正态分析;采用精度为3mm的激光经纬仪测量控制点坐标,得到的盾构姿态参数的误差范围比规范要求小得多。     

On estimating the reliability after sequentially estimating the mean: The exponential case

Sequential estimation problems for the mean parameter of an exponential distribution has received much attention over the years. Purely sequential and accelerated sequential estimators and their asymptotic second-order characteristics have been laid out in the existing literature, both for minimum risk point as well as bounded length confidence interval estimation of the mean parameter. Having obtained a data set from such sequentially designed experiments, the paper investigates estimation problems for the associatedreliability function. Second-order approximations are provided for the bias and mean squared error of the proposed estimator of the reliability function, first under a general setup. An ad hoc bias-corrected version is also introduced. Then, the proposed estimator is investigated further under some specific sequential sampling strategies, already available in the literature. In the end, simulation results are presented for comparing the proposed estimators of the reliability function for moderate sample sizes and various sequential sampling strategies.     

Restricted maximum likelihood estimation under Eisenhart model Ill

For a balanced two-way mixed model, the maximum likelihood (ML) and restricted ML (REML) estimators of the variance components were obtained and compared under the non-negativity requirements of the variance components by L ee and K apadia (1984). In this note, for a mixed (random blocks) incomplete block model, explicit forms for the REML estimators of variance components are obtained. They are always non-negative and have smaller mean squared error (MSE) than the analysis of variance (AOV) estimators. The asymptotic sampling variances of the maximum likelihood (ML) estimators and the REML estimators are compared and the balanced incomplete block design (BIBD) is considered as a special case. The ML estimators are shown to have smaller asymptotic variances than the REML estimators, but a numerical result in the randomized complete block design (RCBD) demonstrated that the performances of the REML and ML estimators are not much different in the MSE sense.     

Declining Discount Rates: The Long and the Short of it

The last few years have witnessed important advances in our understanding of time preference and social discounting. In particular, several rationales for the use of time-varying social discount rates have emerged. These rationales range from the ad hoc to the formal, with some founded solely in economic theory while others reflect principles of intergenerational equity. While these advances are to be applauded, the practitioner is left with a confusing array of rationales and the sense that almost any discount rate can be justified. This paper draws together these different strands and provides a critical review of past and present contributions to this literature. In addition to this we highlight some of the problems with employing DDRs in the decision-making process, the most pressing of which may be time inconsistency. We clarify their practical implications, and potential pitfalls, of the more credible rationales and argue that some approaches popular in environmental economics literature are ill-conceived. Finally, we illustrate the impact of different approaches by examining global warming and nuclear power investment. This includes an application and extension of Newell and Pizer [‘Discounting the benefits of climate change mitigation : how much do uncertain rates increase valuations?’ Journal of Environmental Economics and Management 46 (2003) 52] to UK interest rate data.     

MSE-improvement of the least squares estimator by dropping variables

It is well known that dropping variables in regression analysis decreases the variance of the least squares (LS) estimator of the remaining parameters. However, after elimination estimates of these parameters are biased, if the full model is correct. In his recent paper, Boscher (1991) showed that the LS-estimator in the special case of a mean shift model (cf. Cook and Weisberg, 1982) which assumes no “outliers” can be considered in the framework of a linear regression model where some variables are deleted. He derived conditions under which this estimator outperforms the LS-estimator of the full model in terms of the mean squared error (MSE)-matrix criterion. We demonstrate that this approach can be extended to the general set-up of dropping variables. Necessary and sufficient conditions for the MSE-matrix superiority of the LS-estimator in the reduced model over that in the full model are derived. We also provide a uniformly most powerful F-statistic for testing the MSE-improvement.     

Introduction to “Economic and Financial Governance in the European Union after a decade of Economic and Political Crises.”

ABSTRACT

This paper offers the Introduction to the Special Issue “Economic and Financial Governance in the European Union after a decade of Economic and Political Crises.” We introduce the five papers. We distill three important lessons they offer for EU integration.     

基于全球供应链管理模式下的港口物流

分析了港口物流进入全球供应链管理时代的特征，比较了世界港口物流的发展特点，对我国港口物流进一步发展提出了建议。