Firm age and performance

Amid increasing interest in firm age and its effects on firm performance, this special issue offers an exhaustive review of the literature and a novel collection of evidence on the effects of firm age on performance, including a special focus of interest on innovation performance, financial performance, exports, survival and growth. This editorial positions the theme in the extant literature, and provides key definitions and challenges ahead in the field of evolutionary economics. It introduces the collection of articles composing the special issue. The papers offer a diversity of country contexts, as well as analytical approaches and methods. They include an exhaustive review of the literature on age and firms’ performance, and present original empirical studies focusing on the effects of age on firms’ economic outcomes on the one hand, and on innovation outcomes on the other hand. While most of the papers use econometric analysis, the level of analysis ranges from firm to individual.     

The system of Ferney: A fable

This paper is an allegorical essay which attempts to provide a critical perspective on systems analysis. It employs both the language and rationale of systems analysis within the structure of the fable. More specifically, it uses the schematic representation of The World Model (found in the Meadows, et al., The Limits to Growth) as the political and social divisions of the Ferney System. The integrating tool for technological assessment within this metaphorical system is the Delphi Method of Futures Research. Expert opinion-consensus serves as the chief mode of governance. The actual history of Ferney, within the fable, is a loop feedback process.     

Curriculum assessment through a capstone course: a case study in hospitality and tourism programs

The purpose of this study was to develop a systematic process that other educational institutions and programs could follow to establish a consistent and accurate evaluation method for a capstone course. Hospitality industry professionals and hospitality management faculty were interviewed through focus-group discussions, and a post-focus-group survey was conducted to determine a weighted percentage for each of the nine determined content domains. A test blueprint for a hospitality management capstone course was developed to measure programmatic student learning outcomes based on the weighted domains determined through this study. The results provide a usable instrument for hospitality and tourism management programs to enhance their current assessment methodology.     

Assimilation of Hong Kong Immigrants in Canada

A flood of emigration from Hong Kong to Canada was observed prior to the handover from Britain back to China in 1997. I pool Canadian Census data from 1991 to 2006 to study the labour market assimilation of Hong Kong immigrants. The findings suggest that these immigrants faced a significant negative wage gap upon entry in comparison with Canadian‐born individuals, and this was larger for cohorts arriving closer to 1997, suggesting a decline in cohort quality. The results also indicate that earnings convergence with the Canadian‐born was slow for the majority of these immigrants.     

Major fire in a steam-methane reformer furnace

Causes of a major fire which resulted when a pigtail ruptured on a 10-year old hydrogen plant reformer and led to the destruction of 54 catalyst tubes.     

FDI on the move: cross-border M&A and migrant networks

Review of World Economics - Using data on Chinese outward direct investment and migrant stocks in 96 countries from 2003 to 2014, we find that migrant networks have a positive and significant...     

How to make sure your donors read your publications

Voluntary organisations pour large chunks of their usually slender resources into producing publications in the hope that these will carry their many promotional messages to a variety of audiences, particularly donors and other supporters. The authors feel that little is known about how donors view and use these publications and whether or not their senders get good value for money. This paper presents an outline of findings from research recently commissioned by the authors into how donors read and use the publications and other printed communications sent to them by charities they support. The conclusion is that many charities could take simple actions to improve their publications, and some suggestions are made. From the authors' experience they supply guidelines charities can follow if they wish to change the way donors perceive, read, enjoy, remember and respond to the publications they send. Also included is a checklist for basic strategic planning so that any charity can ensure that tomorrow's donors will receive communications based not just on what the charity wants to send, but also on what the intended audience wants to receive.     

Bayesian time series analysis of periodic behaviour and spectral structure

Analysis, model selection and forecasting in univariate time series models can be routinely carried out for models in which the model order is relatively small. Under an ARMA assumption, classical estimation, model selection and forecasting can be routinely implemented with the Box–Jenkins time domain representation. However, this approach becomes at best prohibitive and at worst impossible when the model order is high. In particular, the standard assumption of stationarity imposes constraints on the parameter space that are increasingly complex. One solution within the pure AR domain is the latent root factorization in which the characteristic polynomial of the AR model is factorized in the complex domain, and where inference questions of interest and their solution are expressed in terms of the implied (reciprocal) complex roots; by allowing for unit roots, this factorization can identify any sustained periodic components. In this paper, as an alternative to identifying periodic behaviour, we concentrate on frequency domain inference and parameterize the spectrum in terms of the reciprocal roots, and, in addition, incorporate Gegenbauer components. We discuss a Bayesian solution to the various inference problems associated with model selection involving a Markov chain Monte Carlo (MCMC) analysis. One key development presented is a new approach to forecasting that utilizes a Metropolis step to obtain predictions in the time domain even though inference is being carried out in the frequency domain. This approach provides a more complete Bayesian solution to forecasting for ARMA models than the traditional approach that truncates the infinite AR representation, and extends naturally to Gegenbauer ARMA and fractionally differenced models.