Productivity Spillovers from FDI in Malaysian Manufacturing: Evidence from Micro‐panel Data*

Using an establishment‐level panel dataset for the Malaysian manufacturing industries for 2000–2004, we argue that differences in the proxies and degrees of foreign shareholdings in measuring foreign presence lead to opposite signs and/or significance of spillover effects. The results show significant evidence of positive productivity spillovers to local establishments in the same industry, based on a broad measure of foreign presence. However, there is no evidence of positive spillover when employment share is used as a proxy for foreign presence. Furthermore, significant negative spillover effects are related to higher employment shares of wholly foreign‐owned establishments. Although there is no significant difference in labor productivity between wholly foreign‐owned and locally‐owned establishments, both majority and minority foreign‐owned establishments have significantly lower levels of labor productivity than locally‐owned establishments in Malaysia.     

Virtue ethics and customer relationship management: towards a more holistic approach for the development of ‘best practice’

This paper focuses much‐needed attention on the ethical nature of customer relationship management (CRM) strategies in organisations. The research uses an in‐depth case study to reflect on the design, implementation and use of ‘best practice’ associated with CRM. We argue that conventional CRM philosophy is based on a fairly narrow construct that fails to consider ethical issues appropriately. We highlight why ethical considerations are important when organisations use CRM and how a more holistic approach incorporating some of Alasdair MacIntyre's ideas on virtue ethics could be relevant.     

A model of person‐pay interaction: how executives vary in their responses to compensation arrangements

A wealth of research indicates that both executive characteristics and incentive compensation affect organizational outcomes, but the literatures within these two domains have followed distinct, separate paths. Our paper provides a framework for integrating these two perspectives. We introduce a new model that specifies how executive characteristics and incentives operate in tandem to influence strategic decisions and firm performance. We then illustrate our model by portraying how executive characteristics interact with a specific type of pay instrument—stock options—to affect executive behaviors and organizational outcomes. Focusing on three individual‐level attributes (executive motives and drives, cognitive frame, and self‐confidence), we develop propositions detailing how executives will vary in their risk‐taking behaviors in response to stock options. We further argue that stock options will amplify the implications of executive ability, such that option‐heavy incentive schemes will increase the performance of talented executives but worsen the performance of low‐ability executives. Our framework and propositions are meant to provide a starting point for future theorizing and empirical testing of the interactive effects of executive characteristics and incentive compensation on strategic decisions and organizational performance. Copyright © 2010 John Wiley & Sons, Ltd.     

Fair welfare maximization

We consider the general problem of finding fair constrained resource allocations. As a criterion for fairness we propose an inequality index, termed “fairness ratio,” the maximization of which produces Lorenz-undominated, Pareto-optimal allocations. The fairness ratio does not depend on the choice of any particular social welfare function, and hence it can be used for an a priori evaluation of any given feasible resource allocation. The fairness ratio for an allocation provides a bound on the discrepancy between this allocation and any other feasible allocation with respect to a large class of social welfare functions. We provide a simple representation of the fairness ratio as well as a general method that can be used to directly determine optimal fair allocations. For general convex environments, we provide a fundamental lower bound for the optimal fairness ratio and show that as the population size increases, the optimal fairness ratio decreases at most logarithmically in what we call the “inhomogeneity” of the problem. Our method yields a unique and “balanced” fair optimum for an important class of problems with linear budget constraints.     

REAL OPTIONS: STATE OF THE PRACTICE

In the mid‐1980s, financial economists began building option‐based models to value corporate investments in real assets, laying the foundation for an extensive academic literature in this area. The 1990s saw several books, numerous conferences, and many articles aimed at corporate practitioners, who began to experiment with these techniques. Now, as we approach the end of 2001, the real options approach to valuing real investments has established a solid, albeit limited, foothold in the corporate world. Based on their recent interviews with 39 individuals from 34 companies in seven different industries, the authors of this article attempt to answer the question, “How is real options being practiced, and what impact is it having in the corporate setting?” The article identifies three main corporate uses of real options—as a strategic way of thinking, an analytical valuation tool, and an organization‐wide process for evaluating, monitoring, and managing capital investments. For example, in some companies, real options is used as an input into an M&A process in which rigorous numerical analysis plays only a small role. In such cases, real options contributes as a qualitative way of thinking, with little formality either in terms of analytical rigor or organizational procedure. In other firms, real options is used in a commodity trading environment where options are clearly specified in contracts and simply need to be valued. In this case, real options functions as an analytical tool, though generally only in specialized areas of the firm and not on an organization‐wide basis. In still other companies, real options is used in a technology or R&D context where the firm's success is driven by identifying and managing potential sources of flexibility. In such cases, real options functions as an organization‐wide process with both a broad conceptual and analytical core. The companies that have shown the greatest interest in real options generally operate in industries where large investments with uncertain returns are commonplace, such as oil and gas, and life sciences. Major applications include the evaluation of exploration and production investments in oil and gas firms, generation plant investments in power firms, R&D portfolios in pharmaceutical and biotech firms, and technology investment portfolios in high‐tech firms. While the approaches to implementation are quite varied, there appears to be a common path to the successful adoption of real options. The key steps of the adoption process are: (1) conducting pilot projects; (2) getting buy‐in from senior‐level and rank‐and‐file managers; (3) codifying real options through expert working groups, specialist training, and customization; and (4) institutionalizing and integrating real options firm‐wide. After citing best practices for each of these four steps, the authors close by predicting that a “network” effect and acceptance by Wall Street will serve as catalysts for more widespread corporate use of real options.     

II. Allgemeine und angewandte Statistik

Ohne Zusammenfassung     

Programming for the Internet and Experiential Learning: a New Approach Incorporating a Constructed World

This paper reports on a novel approach taken by the author to the teaching of an Internet programming course targeted at final year diploma and second year degree students. The uniqueness of engineers and their identity is discussed, as is the self-constructed world and ways of knowing in which humankind operates. The novel approach to teaching a software-coding course, and this course’s underlying philosophies of learning, the approach taken in class-contact time, and the methods of interaction with the students are presented, along with the conventional structure, quantitative measures, outline, and assessment of the course. The effects and observations of approaches employed are discussed, and the quantitative outputs achieved are presented alongside the unquantifiable impressions, comments and positive feedback.     

Putting the Cart before the Horse? Re-Examining the Relationship between Domestic Savings and Economic Growth in Selected Sub-Saharan African Countries

In addition to the standard Granger causality, this paper employs the Toda–Yamamoto approach and instantaneous causality test to examine the causal relationship between domestic savings and economic growth in 10 sub-Saharan African countries utilizing time series data. Findings from both the standard Granger causality and Toda–Yamamoto approach are consistent and robust only in five countries where domestic savings and economic growth are completely independent in three countries. For the remaining two, causality runs from savings to growth. However, for the other five countries, findings produced from both causality tests are grossly inconsistent and mixed leaving us under a quandary although the Toda–Yamamoto test is often reliable on account of its ability to avoid misleading results associated with the asymptotic nature of the standard Granger causality test. Our findings further reveal an instantaneous unidirectional causality from domestic savings to economic growth for only Benin, Mali, and South Africa suggesting that savings-led growth is rapid for these countries. We conclude based on our findings that the myriad of ‘evidence’ in earlier studies on savings-growth causality should be treated with caution given that methodological differences can produce misleading results with the potential of misdirecting policy.     

Robustly optimal monetary policy in a microfounded New Keynesian model

We consider optimal monetary stabilization policy in a New Keynesian model with explicit microfoundations, when the central bank recognizes that private-sector expectations need not be precisely model-consistent, and wishes to choose a policy that will be as good as possible in the case of any beliefs close enough to model-consistency. We show how to characterize robustly optimal policy without restricting consideration a priori to a particular parametric family of candidate policy rules. We show that robustly optimal policy can be implemented through commitment to a target criterion involving only the paths of inflation and a suitably defined output gap, but that a concern for robustness requires greater resistance to surprise increases in inflation than would be considered optimal if one could count on the private sector to have “rational expectations.”