A number‐of‐modes reference rule for density estimation under multimodality

We consider kernel density estimation for univariate distributions. The question of interest is as follows: given that the data analyst has some background knowledge on the modality of the data (for instance, ‘data of this type are usually bimodal’), what is the adequate bandwidth to choose? We answer this question by extending Silverman's idea of ‘normal‐reference’ to that of ‘reference to a Gaussian mixture’. The concept is illustrated in the light of real data examples.     

'Stingray City'- Managing the Impact of Underwater Tourism in the Cayman Islands

Recreational diving and snorkelling are increasingly popular leisure activities, with potentially adverse consequences for coral reefs and other types of marine life. This case study presents observations of the impact and management of visitors viewing a single animal species, the Southern Stingray (Dasyatis americana) congregating at a specific location (nicknamed 'Stingray City') off the coast of Grand Cayman in the western Caribbean. It is estimated that the stingrays now receive 80,000 to 100,000 visitors per year, and on a busy day more than 500 divers and snorkellers can be observed in the water stroking and feeding the rays. The stingray population is beginning to show major behavioural changes such as the development of shoaling behaviour, skin abrasion from handling, and altered feeding habits. It is also possible that some behavioural modifications are being learnt and transmitted to new generations of rays. Concern is expressed about the effect of consistently high levels of visitation upon the stingray population, and it is suggested that there is an urgent need for long term monitoring with possible restriction of visitor numbers.     

Leading to Learn

“You don't see to draw, you draw to see.” And then Fred said, “It's just the same for leadership, you don't learn to lead, you lead to learn.” The arts can teach us to stay with our senses and not know and in that way to provide a balance to the dominance of the analytic approaches to our organizational worlds. There is an old saying that you can only manage what you can measure. The arts can help us to work with what we cannot measure and the way to do that is by leading to learn. The current article explores the qualitatively different way in which the arts teach us to apprehend the world and how that is central to leadership.     

An Empirical Analysis of Triple Bottom-Line Reporting and its Determinants: Evidence from the United States and Japan

This paper investigates triple bottom‐line (TBL) disclosures of 50 of the largest US and Japanese companies. Twenty disclosure criteria were developed for each of the TBL disclosure areas: economic, social, and environmental. Disclosure information was examined in annual reports, stand‐alone reports, and special website reports. Regression analysis was used to examine empirically the determinants of TBL disclosure practice. Our results indicate that, for total TBL disclosure (combining economic, social, and environmental categories), the extent of reporting is higher for firms with larger size, lower profitability, lower liquidity, and for firms with membership in the manufacturing industry. Further analysis indicates that the results for the total TBL disclosure are primarily driven by non‐economic disclosures. We also find that the extent of overall TBL reporting is higher for Japanese firms, with environmental disclosure being the key driver. This result could be attributed to the differences in national cultures, the regulatory environment, and other institutional factors between the United States and Japan.     

Estimated non-linearities and multiple equilibria in a model of distributive-demand cycles

We introduce the results of a non-parametric estimate of the US wage-Phillips Curve into a simplified version of the model of the wage-price spiral by Flaschel and Krolzig (2008). Making use of Okun’s law, the non-linearity in the wage inflation-employment relation translates into a non-linearity in the so-called ‘distributive curve’ of the economy. Exploiting the observed non-linearity in extending an otherwise standard demand-distribution model (Taylor 2004 Taylor, Lance. 2004. Reconstructing macroeconomics. structuralist proposals and critique of the mainstream, Cambridge, MA: Harvard University Press.  [Google Scholar]), we provide a dynamical analysis both in wage-led and profit-led effective demand regimes. In a profit-led scenario, shown to be the empirically relevant case for the US economy, there are two stable equilibria of Goodwin (1967 Goodwin, R.M. 1967. “A growth cycle”. In Socialism, capitalism and economic growth, Edited by: Feinstein, C.H. Cambridge, , UK: Cambridge University Press.  [Google Scholar]) growth cycle type, identified as a stable depression and a stable boom, and a saddle-path stable equilibrium in between them. Both stable steady states are surrounded by trajectories that cycle counterclockwise around their basins of attraction. The obtained type of growth fluctuations can be verified by a long phase cycle estimation for the US economy using a method developed by Kauermann, Teuber and Flaschel (2008 Kauermann, G., Teuber, T. and Flaschel, P. 2008. “Estimating loops and cycles using penalized splines”. Bielefeld: CEM working paper.  [Google Scholar]).     

What would Don Draper do? Rules for restoring the contemporary agency mojo

What are the timeless truths of advertising? How can agency leaders manage their teams, their creative talent, and clients? To answer these and other questions, the mythology of the ‘Golden Age of Advertising’ is examined and analyzed herein. Specifically, using ad man Don Draper—protagonist of the fictional, but already culturally iconic, television series Mad Men—as a mythic archetype, lessons are extracted for contemporary advertising practitioners. Ten timeless rules are proposed and explicated in the areas of (1) managing intra-agency leadership processes, (2) managing creative processes, and (3) managing client relationships.     

Commissioning of CIL's ammonia II plant

Special features of this process design contributed to fast start-up, including the role of the computer simulator for training purposes and the concept of commissioning by process test system.     

Issues in measuring success in community-based Indigenous tourism: elites,kin groups,social capital,gender dynamics and income flows

Tourism development is a key feature of the neoliberal economic development model. Through a mix of state and private investment, Indigenous communities in Mexico are encouraged to transform local cultural and environmental resources into tourist consumption sites. The process results in a shift toward reliance on tourism, in place of farming, leaving households with few alternative earning strategies amidst fluctuating tourist arrivals and income, confounding the relationship between tourism and sustainability and questioning the utility of tourism as a sustainable tool for development. This article analyses a community-based Indigenous tourism project in a rural Maya village in Mexico's Yucatan, and discusses strategies employed at household level to navigate the arrival of tourism. Funding agencies assessed this project based on a triple bottom line metric that accounts for ecological health, financial sustainability, and its relationship to local social capital; however, these fail to account for differences between local and non-local conceptions of authenticity, indigeneity, and success. From a social perspective, the project has exacerbated existing tensions and has arguably widened the gap between the politically and economically powerful and less powerful, marginalized families in the community. Questions about policy, governance systems, and elite domination and kin group control are raised.     

Is off-farm income reforming the farm? Evidence from Mexico

Does access to off-farm income complement or compete with agricultural production? This article explores the effect of off-farm income on agricultural production activities, using data from the 2003 Mexico National Rural Household Survey. We first discuss the theoretical conditions under which access to off-farm income may influence production in an agricultural household model. Instrumental-variable (IV) estimation methods are then used to test whether agricultural production activities, technologies, and input use differ between households with and without access to off-farm income. We find that off-farm income has a negative effect on agricultural output and the use of family labor on the farm, but a positive impact on the demand for purchased inputs. There is also a slight efficiency gain in households with access to off-farm income. Findings offer insights into how household production evolves as rural households increasingly engage in off-farm income activities.