Will digital technologies transform agriculture in developing countries?

Mobile phones and the internet have significantly affected practically all sectors of the economy and agriculture is no exception. Building on a recent World Bank flagship report, this article introduces a concise framework for describing the main benefits from new information and communication technologies. They promote greater inclusion in the broader economy, raise efficiency by complementing other production factors, and foster innovation by dramatically reducing transaction costs. The article reviews the recent literature on corresponding technology impacts in the rural sector in developing countries. Digital technologies overcome information problems that hinder market access for many small‐scale farmers, increase knowledge through new ways of providing extension services, and they provide novel ways for improving agricultural supply chain management. While there are many promising examples of positive impacts on rural livelihoods—or “digital dividends”—these have often not scaled up to the extent expected. The main reason is that technology can always only address some, but not all of the barriers faced by farmers in poorer countries.     

Risk and Asian Exchange Rate Regimes

Abstract

A panel regression gives evidence that more flexibility in Asian exchange rates reduces risk associated with bank borrowing abroad, but deviations from mean exchange rates, and from the renminbi, increase risk. Since the exchange rate regime affects bank behavior and the incentives to hedge, the results broadly support the bank run over the moral hazard view of twin banking and currency crisis. The results suggest that flexibility in exchange rates is required for Asian EMEs, but the flexibility has to be limited, and it depends on more flexibility in the renminbi. This has implications for current global imbalances in reserves and feasible adjustment paths.     

Impact of Celebrity Endorsements and Brand Mascots on Consumer Buying Behavior

ABSTRACT

Celebrity and brand mascot endorsements are very popular and often-used techniques by marketers. Marketers believe that celebrity and brand mascot endorsements provide a higher degree of appeal, attention, and customer recall ability compared with when this technique is not used. Marketers also claim that a celebrity affects the credibility of claims about a product and increases the memorabilia factor of the message, which may provide a positive effect that could be generalized to the brand. Primarily this essay has been designed such that it examines various parameters related to advertisements containing celebrity and brand mascot endorsements. Data were been collected from 150 respondents through questionnaire and subjected to t test, χ² test, and difference of means test to enforce the hypotheses that celebrity endorsements have impacts on customers’ perceptions and their purchase intentions. The findings of this study provide insights for marketing and brand managers to design and market their campaigns effectively.     

Assessing Project Risk

Finding the appropriate discount rate, or cost of capital, for evaluating investment projects requires an accurate estimate of project risk. This can be challenging because project risk cannot be estimated directly using the CAPM, but must instead be inferred from a set of traded securities, typically the equity betas of comparable firms in the same industry. These equity betas are then unlevered to undo the effect of comparable companies' financial leverage and obtain estimates of “asset” betas, which are then used to estimate project risk. The authors show that asset betas estimated in this way are likely to overestimate project risk. The equity returns of companies are risky not only because of their existing projects but also because of their growth opportunities. Such growth opportunities often include embedded “real options,” such as the option to delay, expand, or abandon a project. Because such real options are similar to leveraged positions in the underlying project, a company's growth opportunities are typically riskier than its existing projects. Therefore, to properly assess project risk, analysts must also unlever the asset betas derived from comparable company stock returns for the leverage contributed by their growth options. The authors derive a simple method for unlevering asset betas for growth options leverage in order to properly assess project risk. They then show that standard methods for assessing project risk significantly overestimate project costs of capital—by as much as 2–3% in industries such as healthcare, pharmaceuticals, communications, medical equipment, and entertainment. Their method should also be applied to stock return volatility to derive project volatility, an important input for determining the value of a firm's growth opportunities and the appropriate time for investing in these opportunities.     

Going digital: Credit effects of land registry computerization in India

By improving access, without altering the underlying information, computerization of land registration provides a unique case to test for credit supply effects of improved land administration that have often been elusive in the literature. We exploit the variation in the timing of the shift from manual to digital operation of Andhra Pradesh's 387 subregistry offices during the state-wide rollout of this intervention between 1999 and 2005. Administrative data on credit disbursed and registered land transactions from 1995 to 2007 point to significant, though quantitatively modest, increases in credit access in urban but not rural areas. Institutional factors allow us to explain these results.     

The Impact of Trades on Daily Volatility

This article proposes a trading-based explanation for the asymmetriceffect in daily volatility of individual stock returns. Previousstudies propose two major hypotheses for this phenomenon: leverageeffect and time-varying expected returns. However, leveragehas no impact on asymmetric volatility at the daily frequencyand, moreover, we observe asymmetric volatility for stocks withno leverage. Also, expected returns may vary with the businesscycle, that is, at a lower than daily frequency. Trading activityof contrarian and herding investors has a robust effect on therelationship between daily volatility and lagged return. Consistentwith the predictions of the rational expectation models, thenon-informational liquidity-driven (herding) trades increasevolatility following stock price declines, and the informed(contrarian) trades reduce volatility following stock priceincreases. The results are robust to different measures of volatilityand trading activity. (JEL C30, G11, G12)     

How common are common return factors across the NYSE and Nasdaq?

We entertain the possibility of pervasive factors that are not common across two (or more) groups of securities. We propose and implement a general procedure to estimate the space spanned by common and group-specific pervasive factors. In our empirical analysis, we study the factor structure of excess returns on stocks traded on the NYSE and Nasdaq using our methodology. We find that there are only two common pervasive factors that govern the returns for both NYSE and Nasdaq. At the same time, the NYSE and Nasdaq each have one more group-specific factor that is not the same across the two exchanges. Our results point to the absence of complete similarity between the factors driving the returns on these exchanges.     

The political economy of regionalism

We examine the incentives of regions to unite and separate. Separation allows for greater influence over the nature of political decision making while unification allows regions to exploit economies of scale in the provision of government. Our paper explores the influence of size, location and the diversity within regions in shaping this trade-off. We then examine the way in which alternative political institutions aggregate regional preferences and thereby define the number of countries.     

Structural interdependence within top management teams: A key moderator of upper echelons predictions

Studies of the effects of top management team (TMT) composition on organizational outcomes have yielded mixed and confusing results. A possible breakthrough resides in the reality that TMTs vary in how they are fundamentally structured. Some are structured such that members operate independently of each other, while others are set up such that roles are highly interdependent. We examine the potential for three facets of structural interdependence—horizontal, vertical, and reward interdependence—to resolve ambiguities regarding effects of TMT heterogeneity. Based on a sample of TMTs in technology firms, we find that the three facets of structural interdependence are potent moderators of two classic predictions: the positive association between TMT heterogeneity and member departures, and between TMT heterogeneity and firm performance. Copyright © 2014 John Wiley & Sons, Ltd.     

Market Integration and Technological Change

This paper studies the incentives of firms to introduce new technologies in markets where network effects are sensitive to the identity of the adopter. We model this sensitivity by considering a market in which consumers are located in two economies and network effects across economies are weaker than intra-economy network effects. The strength of cross economy network effects is measured by the degree of market integration. We show that the incentives for technological change are decreasing with respect to the degree of integration and that they are in excess of what is socially desirable. We also show that different generation technologies can coexist only if the market is poorly integrated and that this coexistence is characterized by a form of technological leap-frogging across economies.