Got milk? The rapid rise of China’s dairy sector and its future prospects

This paper synthesizes recent research and new empirical findings to build a more comprehensive understanding of developments in China’s dairy sector. China’s tremendous rise in dairy demand has been driven by several mutually reinforcing factors: including rapid income growth, promotion by the government and dairy industry, changes in urban lifestyles, and the development of new, more sophisticated marketing channels. Domestic milk output has grown to satisfy rising demand largely by increasing the dairy herd. Substantial increases in productivity have been achieved through technology adoption, but there is evidence that the torrid growth has created inefficiencies because adaptations to marketing rules, infrastructure, and institutions have not kept pace with the changing environment. These results suggest there is ample room for future growth in both domestic milk production and dairy demand, but multinational firms and imported products will likely play and increasing role as China’s dairy market continues to develop.     

Entry and regulation: evidence from health care professions

In many countries, pharmacies receive high regulated markups and are protected from competition through geographic entry restrictions. We develop an empirical entry model for pharmacies and physicians with two features: entry restrictions and strategic complementarities. We find that the entry restrictions have directly reduced the number of pharmacies by more than 50%, and also indirectly reduced the number of physicians by about 7%. A removal of the entry restrictions, combined with a reduction in the regulated markups, would generate a large shift in rents to consumers, without reducing the availability of pharmacies. The public interest motivation for the current regime therefore has no empirical support.     

TECHNOLOGY AND SPAN OF CONTROL: WOODWARD REVISITED

This study of production operations in 95 New Jersey manufacturing firms explains the widely replicated curvilinear relationship between first line supervisory span of control and Woodward's technological complexity scale. Revisiting Woodward led to the initial proposition that the relationship was a by-product of the differing degree of task variability among the major types of production operations. A subsequent literature review of administrative requirements suggested the importance of size, complexity and automaticity on supervisory span of control. Our data indicate that variations in the span of control of production operations classified according to Woodward's scale are attributable to the underlying effects of size and task complexity. Technology, whether operationalized as Woodward's production types or automaticity of machinery explained little variation in the span of control of first line supervisors.     

Income distribution and inequality measurement: The problem of extreme values

We examine the statistical performance of inequality indices in the presence of extreme values in the data and show that these indices are very sensitive to the properties of the income distribution. Estimation and inference can be dramatically affected, especially when the tail of the income distribution is heavy, even when standard bootstrap methods are employed. However, use of appropriate semiparametric methods for modelling the upper tail can greatly improve the performance of even those inequality indices that are normally considered particularly sensitive to extreme values.     

AN EXAMINATION OF THE UNDERLYING DYNAMICS OF STRATEGIC DECISIONS SUBJECT TO UPWARD INFLUENCE ACTIVITY

This study examines the underlying dynamics of strategic decisions that are subject to upward influence activity. The results suggest that the strategymaking process deviates considerably from typical rational comprehensive approaches in that strategies are affected by: initial sense-making activity, perceptions of risk and return, and power and negotiation skills. Differences due to functional area of the manager involved in the influence activity are discussed.     

A note on interactions-driven business cycles

Within the standard Keynesian multiplier framework, extended by a micro-model of interactive formation of individual consumption propensities, we demonstrate that socioeconomic interactions can lead to cyclical fluctuations in aggregate economic activity. The underlying micro-model of direct interactions is a version of Alan Kirman’s generic opinion formation model, with an additional feedback effect from macroscopic variables on the transition probabilities. Our model engenders cyclical fluctuations of economic variables, despite the fact that neither the Keynesian multiplier model nor Kirman’s model does so on its own.     

The adaptive consequences of pride in personal selling

This study examines the adaptive consequences of pride in personal selling and its self-regulation with colleagues and customers. Study 1 investigates the effects of experiencing pride, where two benefits were found. First, pride increases salespersons’ performance-related motivations. Specifically, it promotes the use of adaptive selling strategies, greater effort, and self-efficacy. Second, pride positively affects organizational citizenship behaviors. Study 2 takes an emotion-process point of view and compares excessive pride (hubris) with positive pride. The results show that salespeople are capable of self-regulating the expression of these emotions differently toward colleagues and customers via anticipated feelings of fear, shame, and regret. Salespeople, in other words, are affected by their emotions, but they also are capable of controlling them to their advantage. Willem Verbeke (verbeke@few.eur.nl) is a chaired professor of sales and account management at Erasmus University in Rotterdam, the Netherlands. He received his Ph.D. from the University of Pennsylvania. His research has appeared in a number of academic journals, including theJournal of Marketing, theInternational Journal of Research in Marketing, theJournal of Management, theJournal of Organizational Behavior, and theJournal of Applied Psychology. His area of research interests includes personal selling, sales management, emotions and emotion regulation, social capital, and knowledge management. Frank Belschak (belschak@few.eur.nl) is an assistant professor of marketing and organizational behavior at Erasmus University in Rotterdam, the Netherlands. He received his Ph.D. in organizational behavior from the University of Cologne in Germany. His current research interests include emotions and emotion regulation in organizations and across cultures, as well as social capital and networks. Richard P. Bagozzi (bagozzi@rice.edu) is the J. Hugh Liedtke Professor of Management in the Jesse H. Jones Graduate School of Management and a professor of psychology at Rice University in Houston, Texas. He conducts research on human emotions, the theory of action, goal setting and goal striving, and structural equation methods.     

Brands matter: An empirical demonstration of the creation of shareholder value through branding

This research responds to the attendant need for empirical evidence pertaining to how marketing affects firm performance. Using the Fama-French method, common in finance, and a leading marketplace measure of a brand’s financial equity value, the authors provide empirical evidence for the branding-shareholder value creation link. The results extend previous research by showing that strong brands not only deliver greater returns to stockholders than does a relevant benchmark but do so with less risk This finding holds even when market share and firm size are considered. Barclays Global Investors Thomas J. Madden is a professor of marketing and director of the Professional MBA/Executive International MBA programs at the Moore School of Business, University of South Carolina. His research focuses on the measurement of brand meaning, marketing metrics, and value-based marketing strategies. His research has appeared in theJournal of Marketing Research, theJournal of Marketing, and theJournal of Consumer Behavior. Frank Fehle (frank.fehle@barclaysglobal.com) is the head of Europe Equity Research at Barclays Global Investors in London, United Kingdom. Previously, he was an assistant professor of finance at the University of South Carolina. His research focuses on empirical asset pricing, market microstructure, risk management, and derivatives. His work has appeared in theJournal of Financial Economics, theJournal of Futures Markets, theJournal of Economics and Business, theReview of Quantitative Finance and Accounting, among other journals and conference proceedings. Susan Fournier is an associate professor of marketing at Boston University. Her research focuses on branding and brand relationship marketing. Current projects explore person-brands, resonance as a moderator of the brand meaning → brand strength connection, the types of relationships consumers form with brands, and dynamic processes of relationship development and evolution. She served for 9 years on the Harvard Business School faculty and 2 years as a visitor at Dartmouth College. She consults with a range of companies to inform her teaching, case development, and research.     

Environmental technology foresight: New horizons for technology management

Decision-making in corporate technology management and government technology policy is increasingly influenced by the environmental impact of technologies. Technology foresight (TF) and environmental impact assessment (EIA) are analyzed with regard to the roles they can play in developing long-term strategies and policies for reducing the environmental impact of technologies. The methods for TF and EIA are quite well developed, but remain within a tradition of rational decision-making. However, recent studies of tecnology management and innovation have shown that technology development can be explained only to a certain degree by rational decision-making. EIA is usually presented as an objective and scientific method, based on normative underpinnings that usually remain hidden. Thus, systematic information-providing instruments such as TF and EIA can play only a limited role. We propose a procedure for environmental technology foresight. The case is made that environmental technology management will be most helped by a 'constructive' approach in order to stimulate incorporation of long-term environmental objectives.