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.     

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.     

Optimal surveillance against foot‐and‐mouth disease: the case of bulk milk testing in Australia

Previous foot‐and‐mouth disease (FMD) outbreaks and simulation‐based analyses suggest substantial payoffs from detecting an incursion early. However, no economic measures for early detection have been analysed in an optimising framework. We investigate the use of bulk milk testing (BMT) for active surveillance against an FMD incursion in Australia. We find that BMT can be justified, but only when the FMD entry probability is sufficiently high or the cost of BMT is low. However, BMT is well suited for post‐outbreak surveillance, to shorten the length of time and size of an epidemic and to facilitate an earlier return to market.     

An economic approach to soil fertility management for wheat production in north-eastern Australia

Soil fertility decline and soil management for crop production are important economic issues for grain growers in north-eastern Australia. In that region, there is evidence of soil fertility decline which is attributed to past crop management practices. The questions addressed in this article are first, whether components of soil fertility can be improved by better management and second, by how much soil fertility would change. Soil fertility for crop production is considered in terms of soil organic carbon and nitrogen. A stochastic dynamic economic analysis of soil fertility management for wheat production is presented. A sequential analysis of first deriving the optimal nitrogen stock and application rates is followed by an assessment of tillage, stubble, and fertilizer strategies to obtain an optimal level of soil organic carbon. The recommended management practices are consistent with emerging management trends in the region. The derivation of optimal levels of soil fertility for agricultural purposes has other policy implications, which we discuss.     

Profiling employees online: shifting public–private boundaries in organisational life

Profiling involves the collection and use of online information about prospective and current employees to evaluate their fitness for and in the job. Workplace and legal studies suggest an expanded use of profiling and significant legal/professional implications for HRM practitioners, yet scant attention has been afforded to the boundaries of such practices. In this study, profiling is framed as a terrain on which employees and employers assert asymmetrical interests. Using survey data from large samples in Australia and the UK, the study investigates the prevalence and outcomes of profiling; the extent to which employees assert a right to privacy versus employer rights to engage in profiling; the extent to which organisations codify profiling practices; and employee responses in protecting online information. The findings contribute to a small and emerging body of evidence addressing how social media conduct at work is reconstituting and reshaping the boundaries between public and private spheres.     

Not part of the family? The limits to managing the corporate way in international hotel chains

Companies increasingly seek solutions to the corporate/local dichotomies perceived to be a feature of more traditional approaches to managing across national boundaries. At the human resource level, the rhetoric of transnationalism emphasizes integration being achieved through 'soft' mechanisms, such as corporate culture devices, which encourage all managers to develop an international (for this read corporate) perspective on what they do. In theory, managerial staff are recruited and promoted on a 'best person for the job' basis and national identities are played down. Drawing upon evidence from three international hotel chains (one American, one French and one Swedish), this paper argues that there is a disjuncture between corporate culture devices which assume that they can transcend national origins and the issues of interest and identity which inform the activities and experiences of managers at unit level. The paper suggests that companies need to be aware of the danger of assuming that one can be trained to be 'one of the family'. Rather, we argue that local managers are potentially disadvantaged in terms of career progression as managers from the parent country utilize criteria of acceptability informed by processes of socialization which are more institutionally embedded and derived than has been assumed.     

BOLIVIA AND SOUTH AMERICAN FREE TRADE

The pending merger between the Andean Pact and Mercosur will advance South American free trade. Each member country will have to adjust to free trade and the various sectors of each economy will adjust differently. This article uses a specific factor model of production to predict output changes and income redistribution in Bolivia with South American free trade. Adjustments in outputs and factor prices in the model are substantial.     

Simple formulas for standard errors that cluster by both firm and time

When estimating finance panel regressions, it is common practice to adjust standard errors for correlation either across firms or across time. These procedures are valid only if the residuals are correlated either across time or across firms, but not across both. This paper shows that it is very easy to calculate standard errors that are robust to simultaneous correlation along two dimensions, such as firms and time. The covariance estimator is equal to the estimator that clusters by firm, plus the estimator that clusters by time, minus the usual heteroskedasticity-robust ordinary least squares (OLS) covariance matrix. Any statistical package with a clustering command can be used to easily calculate these standard errors.