Effect of Diversity of Large Wildlife Species on Financial Benefits to Local Communities in Northwest Namibia

There exist few quantitative assessments of the relationship between biodiversity per se and economic benefits at scales that are relevant for conservation. Similarly, the merits of Community-Based Natural Resource Management programs for both wildlife and people are contested. Here, we harness two databases, on wildlife surveys and financial benefits, to address these issues for communal conservancies in northwest Namibia. We use ordination methods to characterize the diversity and stability of large wildlife assemblages on conservancies, and demonstrate that diversity (but not stability) is an important explanator of conservancy financial benefits. Our results indicate that for this area of Namibia, biodiversity, as represented by large wildlife assemblages, has an important, positive effect on the tangible financial benefits that people derive from conservation programs.     

Do interest groups affect US immigration policy?

While anecdotal evidence suggests that interest groups play a key role in shaping immigration policy, there is no systematic empirical analysis of this issue. In this paper, we construct an industry-level dataset for the United States, by combining information on the number of temporary work visas with data on lobbying activity associated with immigration. We find robust evidence that both pro- and anti-immigration interest groups play a statistically significant and economically relevant role in shaping migration policy across sectors. Barriers to migration are lower in sectors in which business interest groups incur larger lobbying expenditures and higher in sectors where labor unions are more important.     

Digital sport entrepreneurial ecosystems

The entrepreneurial ecosystems literature has increasingly explored network relationships between different stakeholders, as well as the role of context. This article addresses the challenge of including a sport context in the entrepreneurial ecosystem literature thereby contributing to the sport entrepreneurship literature by bringing insights from entrepreneurship ecosystem research. In‐depth interviews of football stakeholders in the sport entrepreneurship ecosystem are conducted in terms of understanding the emergence of digital sport start‐ups. The issues raised help explore the changing nature of digital entrepreneurial ecosystems to take into account new sport technological advances. Mixed embeddedness theory is used as the conceptual foundation to understand sport digital entrepreneurial ecosystems. Key management practices are identified in terms of sport start‐ups participating in entrepreneurial ecosystems. The article concludes by making suggestions for future research.     

Analyzing online reviews in hospitality: data-driven opportunities for predicting the sharing of negative emotional content

Hospitality is one of the sectors that are nowadays most heavily characterized by consumers’ tendency to share online reviews on dedicated digital platforms. While most past work has focused on understanding the effect of online reviews and ratings on consumers’ evaluation and purchase decisions, this research tackles the issue of what drives the sharing of certain types of online content. Specifically, we investigate the sharing of user-generated content characterized by negative emotional valence, and study the effect of two factors on the extent to which user-generated content contains negative emotions. One such factor is reviewer's expertise, while the other is hotel quality. Our analysis of 1200 TripAdvisor reviews on Italian hotels located in three major Italian cities confirm our hypothesis that expert reviewers might share reviews containing less intense negative emotional content compared to less expert reviewers especially when the hotel is of high quality. To support our hypothesis, we build on the research on psychological antecedents of word-of-mouth behaviour suggesting that expert consumers are particularly reluctant to share negative word-of-mouth to avoid projecting a negative image of themselves in social contexts, thus possibly damaging their reputation.     

Tracking urban sprawl: Using spatial data to inform farmland preservation policy

The development of state farmland preservation policies has primarily relied upon results of the Census of Agriculture that is updated every 5 years by the USDA National Agriculture Statistics Service. Questions about the suitability of the Census of Agriculture center on the measures of total farmland and total cropland as reported by agricultural producers. The reliance on these variables fails to distinguish between conversion to developed uses and other fluctuations in the total availability of farmland. This inability to directly measure farmland conversion to developed uses has been shown to influence state level farmland preservation policies. The policies of Illinois and Indiana highlight the disparate approaches, with Illinois pursuing an intensive policy to protect farmland and Indiana choosing to not address farmland preservation at a state level. In order to assess the suitability of the different approaches to farmland preservation policy it is critical to evaluate the Census of Agriculture data used to justify the policies of Illinois and Indiana.     

Casinos,casino size,and crime: A panel data analysis of Michigan counties

Growth in legal gaming in the United States over the past quarter century or so is well-documented. One important factor fueling this growth was the passage of the Indian Gaming Regulatory Act of 1988, which permitted Native American tribes to establish, under agreements or “compacts” with the states in which they are located, casinos offering what is known as Class III gaming: slot machines, blackjack, roulette, and other games. Since the passage of the Act, there have been 21 Native American casinos established in Michigan. Also, three non-Native American casinos opened in Detroit in 1999 and 2000. This growth in the number of casinos has sparked a wide-ranging debate over the social and economic impacts of casino development.The purpose of this research is to focus on the crime issue in the broader casino debate. We investigate the impact of these Michigan casinos on the rates of burglary, robbery, larceny and motor vehicle theft (property crimes) in casino host counties as well as in nearby counties. We employ a panel data set with annual observations on all 83 Michigan counties for the period 1994–2010. The dataset includes crime rates taken from the FBI crime data series, variables for the presence of a casino in a county or in a nearby county, the scale of a casino's operations as measured by revenues, and a variety of control variables suggested by the broader literature investigating the factors that determine crime rates generally.Our results suggest that in most cases the property crime rates studied are not affected by the presence or size of a casino in a county or in a nearby county. The largest such impact, which is negative, is for motor vehicle theft. The size of a casino does have a small positive effect on the motor vehicle theft rate.     

Modeling and Extrapolating Wheat Producer Support Using Income and Other Factors

Using wheat market support data from 55 countries for 1961–2011 from the World Bank Agricultural Distortion database, we develop a fixed effect model that shows a more complicated, nonlinear relationship between income and wheat support and its components than previously realised. We find that income generally has a greater effect on border market price support than on domestic price support. Moreover, the difference between these types of support is greater for net importers than for net exporters and has increased with the URAA or WTO accession. Holding other variables constant, the wheat support level of China, driven mainly by border market price support, is projected to rise with future income growth. Meanwhile, Japan is projected to maintain its high level of support, while the US and EU are projected to maintain their lower levels of support. These results are relevant in the context of multilateral trade negotiations, arguing against a narrow focus on past or current policy profiles and for long‐run analyses that might mistakenly rest on the inconsistent assumptions of constant agricultural policies against the backdrop of rising incomes.     

The impact of mood states and surprise cues on satisfaction

Mood effects have been studied in consumer behavior literature, but prior research investigating the joint impact of mood and surprise on satisfaction is scant. To bridge this gap, this study examines the relationship among these three constructs. We manipulated customers’ pre-consumption mood and provided surprise cues with hypothetical scenarios in a 2 by 2 factorial design in a restaurant setting. The results show that a positive surprise yields high satisfaction without a significant effect from customers’ pre-consumption mood. Conversely, with a negative surprise, customers in a negative pre-consumption mood indicate lower satisfaction than those in a positive mood.     

Other consumers in service encounters: A script theoretical perspective

Hospitality service consumptions often involve sharing the service environment with other consumers. Drawing upon the Script Theory, this research provides a theoretical perspective of consumer responses to behaviors of other consumers in service encounters. The results from an experimental study provide strong support for the dual-mode consumer responses (felt emotions and displayed emotions) and for the moderating effect of psychological closeness on consumer responses. Managerial implications for training, service management and service design in hospitality businesses are also discussed.