How market smarts can protect property rights

Intellectual property comprises an ever-increasing fraction of corporate wealth, but what's the good of that if an ever-increasing fraction of the property is copied or stolen? Faced with developing countries' limited and inadequately enforced patent and copyright laws, some companies are resorting to market-based strategies to protect their intellectual property. These include preempting or threatening competitors, embedding intellectual property in environments that can be protected, bundling insecure intellectual property with its more secure cousins, and actually entering the businesses that pose a threat. The authors urge companies coping with weak property rights to follow a decision tree when choosing which strategies to use and when: Start by thinking of the strategies that will protect your business's core. If, for example, a first-mover advantage is within reach, making yourself more committed to intellectual property could be the answer. If you and your rivals are equally matched, ask yourself, "Can those that threaten me with copying be copied in turn?" The knowledge that each of you can hurt the other may dampen the competitive intensity or even lead to voluntary sharing of property. If these solutions fail or don't apply, try forging a connection with a product or business closely related to your own. Doing so may prevent a valued asset from falling into a rival's hands or make the asset harder to misappropriate. This approach can even help you expand your piece of the market pie or reduce the cost of making the threatened product, perhaps to the point where you can compete against pirated goods. Finally, if there still doesn't seem to be a way of making money from your threatened product, you may choose to move into the very business that has hurt your own. Such strategies are behind the economics of successful companies like Intel and NBC, say the authors.     

ASPECTS OF POVERTY IN MALAYSIA

This paper is concerned with the definition and measurement of poverty in Malaysia. A poverty line is estimated after considering both the absolute and relative approaches to the definition. Various indices of poverty are discussed, ranging from the simple "incidence of poverty" measure to others which take account of the "poverty gap". There is a derivation of a new index due to Sen, and alternative normalizations are suggested for it. Estimates of all these measures are presented for Malaysia. Finally, the simple "incidence of poverty" measure, which is decomposable, is adopted to construct a "profile" of the poor in Malaysia.     

Firm-supplier relations and managerial compensation

In this paper we examine customer firms’ managerial compensation policies when they have important supplier relations. We show that firms with greater reliance on their suppliers tend to offer higher total- and equity-based pay but lower risking-taking incentives to its top executives. Our results are consistent with the argument that suppliers making firm-specific investments are concerned about the customer firm’s prospects. Therefore, firms with important supplier relations use the compensation policies of their top executives (more equity-based and less risk-taking) to signal their commitment to a stable and promising performance in the future. To address endogeneity issues arising out of time-varying omitted variables, we exploit a 2SLS procedure to supplement our baseline OLS findings. Our results are robust alternate measures of suppliers’ relationship-specific investments and econometric models. Overall, our results indicate that some of the heterogeneity in managerial compensation can be attributed to characteristics of the firm’s supply-chain relations.     

Data envelopment analysis with stochastic variations in data

The mathematical programming-based technique data envelopment analysis (DEA) has often treated data as being deterministic. In response to the criticism that in most applications there is error and random noise in the data, a number of mathematically elegant solutions to incorporating stochastic variations in data have been proposed. In this paper, we propose a chance-constrained formulation of DEA that allows random variations in the data. We study properties of the ensuing efficiency measure using a small sample in which multiple inputs and a single output are correlated, and are the result of a stochastic process. We replicate the analysis using Monte Carlo simulations and conclude that using simulations provides a more flexible and computationally less cumbersome approach to studying the effects of noise in the data. We suggest that, in keeping with the tradition of DEA, the simulation approach allows users to explicitly consider different data generating processes and allows for greater flexibility in implementing DEA under stochastic variations in data.     

Demography and Inflation: An International Study

Changes in the relative share of different age groups in the population may present inflationary, disinflationary, or even deflationary tendencies. We find evidence that increases in the share of the very old (age 80 and older) may be associated with deflation. The analysis is based on an international dataset over a long period. Classifying age groups into young, working, younger old, and older old, we find that the shares of the young and the younger old groups are inflationary, while those of the working group are disinflationary and those of the very old group seemingly deflationary.     

Re-visiting collaborative behavior in supply networks – structural embeddedness and the influence of contextual changes and sanctions

This study considers decision making beyond a dyadic buyer-supplier context to the network context. Decisions made by firms are shaped by behavioral norms within the supply network as perceived by the decision makers. Firms can perceive themselves to be part of a collaborative regime or one in which the potential for non-cooperation is high. Further, the ability to put sanctions on non-cooperating firms could shape the overall behavioral patterns in the network. To gain further insights into these aspects and their interactive effects on firm behavior, our study investigates decision-making in supply network by means of behavioral experiments. By organizing practicing managers in a supply network, the study investigates the role of structural embeddedness, incentive structure, and sanctioning mechanisms on the level of collaboration. The results of this study confirm that while sanctions are detrimental for collaborative behavior in a supply network, they play an important role when the underlying norms of governance of such a network are perturbed. The results show that structural embeddedness provides a context that aids adaptive collaborative behavior by firms that are part of the supply network. Once the incentive structure is altered such that there is a higher payoff from defection, the adaptive collaborative behavior is replaced by a behavior in which firms try to maximize their returns and forego collaborative decision-making behavior.     

The Role of Hybrid Organizations in Scaling Social Innovations in Bottom‐of‐the‐Pyramid Markets: Insights from Microfinance in India

While social innovations that solve financial exclusion have gained increasing attention as a means of helping the poor in developing markets, little research has empirically investigated the types of organizations that drive these innovations to achieve scale. Hybrids, a type of organization that exist in between traditional organizational forms, are said to have rapidly gained prevalence, especially in bottom‐of‐the‐pyramid markets. Some scholars claim that hybrids are largely responsible for the spread of established social innovations, yet hybrids do not constitute a homogenous group; instead each hybrid form exists on a spectrum between pure for‐profit and not‐for‐profit organizational forms. It is important that empirical research investigates the role that various hybrid forms play in scaling established social innovations, especially under various bottom‐of‐the‐pyramid market conditions. To this end, using two market‐level outcome measures of scale achieved (prevalence and usage), the authors pursue two research objectives: to study (1) the extent to which, alternative hybrid forms (not‐for‐profit, quasi‐profit, and for‐profit hybrids) drive social innovation; and (2) the relative propensity of these hybrid forms to drive social innovation under varying bottom‐of‐the‐pyramid market conditions, specifically varying levels of development and social diversity. By theorizing how different organizational forms act given their degree of hybridity, the authors develop and test six hypotheses using data sets on microfinance organizations in India. Accordingly, they find that (1) compared with not‐for‐profit and for‐profit hybrids, quasi‐profit hybrids have a propensity to become more prevalent and achieve greater usage in bottom‐of‐the‐pyramid markets overall. Yet, within the spectrum of hybrid forms, (2) not‐for‐profit hybrids are more likely to become more prevalent and achieve greater usage in markets with lower development levels, whereas (3) for‐profit hybrids are more likely to become more prevalent and achieve greater usage in markets with lower social diversity when compared with other hybrid forms.     

Ex-dividend day abnormal returns for special dividends

Past research shows that the difference between dividend amount and ex-dividend day price drop reflects the transaction costs and the differential in the tax rates on dividends and capital gains. Moreover, it is also documented that the higher the dividend yield, the lower is the ex-dividend day return. This paper focuses on large special dividends and tests the two competing hypothesis, tax hypothesis and short term trading hypothesis. Our focus on large special dividends is motivated by the following three considerations. First, special dividends have experienced a surge in recent years. Second, special dividends are important for dividend capture by institutions, corporations and arbitragers. Third, using a sample of large special dividends allows us to reduce the market microstructure effects and focus more directly on the two competing hypotheses. Based on a sample of large special dividends, we find that price drop on ex-dividend day is significantly less than the dividend amount. Furthermore, we show that ex-dividend day returns are positive and hence, are not fully arbitraged away. Our tests indicate that tax hypothesis explains some portion of ex-dividend day abnormal returns even for large special dividends, whereas the support for the short-term trading hypothesis is weak.