Community views of ecotourism

Ecotourism can be an incentive for conservation, especially when it triggers positive economic change. Yet it introduces many changes to communities:positive and negative, social and economic. The full range of change is seldom evaluated in direct relation to conservation at the local level. In this study of three Amazon ecotourism projects, local leaders discussed changes from ecotourism in their communities. Economic benefits were mentioned, but so were new restrictions on time, decreased reciprocity, and social conflict. Other changes included heightened self-esteem and greater community organization. Such shifts should be considered in relation to conservation as they affect the stability of local institutions and the prospects for long-term collective action for resource management.     

Measuring the Impact of Corporate Investment Announcements on Share Prices: The Spanish Experience

We bring together three disparate strands of literature to develop a comprehensive empirical framework to examine the efficiency of security analysts' earnings forecasts in Singapore. We focus specifically on how the increased uncertainty and the negative market sentiment during the period of the Asian crisis affected the quality of earnings forecasts. While we find no evidence of inefficiencies in the pre-crisis period, our results suggest that after the onset of the crisis, analysts (1) issued forecasts that were systematically upward biased; (2) did not fully incorporate the (negative) earnings-related news; and (3) predicted earnings changes which proved too extreme.     

Technical change and irreversible investment under risk

A stochastic dynamic model was constructed to analyze investment decisions of an individual farme under risk in the presence of legibilities, embedded technical change and indivisible capital. An analytical solution was obtained and its local behavior studied by numerical methods. Optimal investment is obtained by regulating the difference between the desired and actual capital stocks between two barriers that define an inaction interval. While the desired capital drifts between the barriers, no action is taken. If the desired capital touches the upper barrier, the farmer invests pushing the average efficiency of the actual capital stock up. This in turn raises the desired capital even higher and contracts the inaction interval. If these effects are strong enough, the farmer will invest again until the potential gains of the technological package are exhausted. If the desired capital falls enough, the farmer disinvests, pushing down the average productivity and expanding the inaction interval. Disinvestment continues until it slops either because the inaction interval becomes so wide that it is no longer optimal to disinvest or because the actual capital stock is so small that it is no longer profitable to produce.     

The Gain‐Loss Spread: A New and Intuitive Measure of Risk

The standard deviation, arguably the most widely‐used measure of risk, suffers from at least two limitations. First, the measure has little intuitive appeal (defined as it is by the square root of the average quadratic deviation from the arithmetic mean return). Second, investors tend to associate risk more with bad outcomes than with volatility per se. To overcome these limitations, this article introduces a new measure of risk, the gain‐loss spread (GLS), which takes into account the probability of a loss, the average size of the loss, and the average gain—all variables that investors consider relevant when assessing risk. The author presents evidence that the GLS is both highly correlated with the standard deviation—thus providing basically the same information about risk—and more correlated with mean returns than both the standard deviation and beta, thereby offering a tighter link between risk and return.     

Modelling Competition in the Textbook Market: Some Lessons still to Learn

Many European governments still advocate a so-called ‘cultural exception’, intended to protect consumers and smaller bookshops, to keep their book markets isolated from competition. Other countries, with similar aims in mind, have chosen liberalization schemes instead. To reconcile these opposing views, this paper provides a theoretical framework to study the textbook market, depicting it as dominated by two simultaneous forces: horizontal differentiation among booksellers and a vertical relationship between publishers and bookshops. Using this model, we analyse the effects of alternative price schemes on the market structure and how potential benefits from price liberalization are influenced by the number (and size of) booksellers.     

Spot water markets and risk in water supply

Water availability patterns in semiarid regions are typically extremely variable. Even in basins with a highly developed infrastructure, users are subject to unreliable water supplies, incurring substantial economic losses during periods of scarcity. More flexible instruments, such as voluntary exchanges of water among users, can help users to reduce risk exposure. This article looks at the effects of spot water markets on the economic risk caused by water availability variations. Our theoretical and empirical risk analyses are based on the random profits of water users. Profit probability density functions are formally and graphically characterized for both water sellers and buyers under several possible market outcomes. We conclude from this analysis that, where water supply is stochastic, water markets unambiguously reduce both parties' risk exposure. The empirical study is conducted on an irrigation district in the Guadalquivir Valley (Southern Spain), where there is a high probability of periods of extreme water scarcity. Water demand functions for the district representative irrigators and a spatial equilibrium model are used to simulate market exchanges and equilibrium. This programming model is combined with statistical simulation techniques. We show that the profit probability distribution of a representative irrigator is modified if water exchanges are authorized, leading to risk reductions. Results also indicate that if the market were extended to several districts and users that are subject to varying hydrological risk exposure, extremely low‐profit events would be less likely to occur. In sum, we show that exchanging water in annual spot markets can reduce farmers' economic vulnerability caused by water supply variability across irrigation seasons. These results support the water policy reform carried out in Spain in 1999 to allow for voluntary water exchanges among right holders.     

Quality management and collective mind: investigating university R&D from a group focus

This article analyses how Quality Management (QM) practices moderate the relationship between collective mind (CM), and knowledge transfer (KT) and absorption in university research and development (R&D) groups. The data are taken from 257 R&D groups in different Spanish universities. The findings show that the relationship between CM and KT is significant when QM is included as a moderating variable because QM permits better communication and fosters stronger ties between group members. In the case of knowledge absorption (KA), however, QM does not have a significant effect. The final section presents the study's conclusions and implications. As no studies have tested these effects empirically, our conclusions are highly relevant for academics and researchers.     

The Return Performance of Cubic Market Model: An Application to Emerging Markets

This article studies the performance of the high-order moment capital asset pricing model (CAPM) market models in emerging markets. We apply the cubic market model (4-moment CAPM) to 16 emerging market stock indices ranging from January 2010 to September 2015. Performance of the model is evaluated through the Fama and MacBeth’s two-step regression and through different corrections proposed in the literature, as well as generalized method of moments (GMM) estimation. According to Fama–MacBeth’s procedure, CAPM, the quadratic and cubic market models seem to be insignificant for the analyzed sample; however, the GMM estimation shows that quadratic model is valid for Indian, Polish, and Thai country indices, whereas cubic market model is accurate for Indian country index.     

Beyond Single-Factor Affine Term Structure Models

This article proposes a new approach to testing for the hypothesisof a single priced risk factor driving the term structure ofinterest rates. The method does not rely on any parametric specificationof the state variable dynamics or the market price of risk.It simply exploits the constraint imposed by the no-arbitragecondition on instantaneous expected bond returns. In order toachieve our goal, we develop a Kolmogorov-Smirnov test and applyit to data on Treasury bills and bonds for both the United Statesand Spain. We find that the single risk factor hypothesis cannotbe rejected for either dataset.