Performance analysis of the Gulf hotel industry: A Malmquist index with bias correction

This study uses the Malmquist index with bias correction to analyze the performance of hotel chains from the UAE, Saudi Arabia and Oman. We show that Saudi Arabia hotel chains have the highest productivity growth, followed by the UAE and Omani hotel chains. A further decomposition of productivity indicates that a small number of hotel chains experienced an increase in revenues for lower occupancy rate, while most other hotel chains experienced an increase in occupancy rate for lower revenues. Related market discussions of the results are provided.     

A quantitative approach to stakeholder interests

In an age when the role, behaviour and performance of the firm are under greater scrutiny than ever before, it is important to pursue quantitative empirical research in the area of social auditing. Using data relating to one particular company, the various inputs and outputs attributable to the firm's different stakeholders, (shareholders, employees, consumers and the community) are examined and corresponding rates of return calculated. Considerable methodological and data problems arise and consequently the results need careful interpretation.     

A Vector Error Correction Model for Japanese Real Exports

Atlantic Economic Journal - Japanese exports did not immediately react to the depreciations of the yen after a change in the economic policy framework in 2012, with the launching of Abenomics. This...     

Visitor perceptions of crime-safety and attitudes towards risk: The case of Table Mountain National Park,Cape Town

This paper investigates tourist perceptions of crime-safety and attitudes towards risk whilst visiting Table Mountain National Park (TMNP) in Cape Town in June and July 2008. The study examined survey data of 303 domestic and international tourists during their visit to TMNP. A linear regression analysis revealed that although visitors had concerns about their personal safety they are still likely to return to TMNP and recommend it to other people. In addition, visitor attitudes towards risk did not influence perceptions of crime-safety and its effect on their intentions to revisit or recommend TMNP. The results also show that respondent's individual characteristics such as age, nationality, and purpose of visit influenced their perceptions of crime-safety. Perceptions that TMNP is unsafe tended to increase with respondent's age. Respondents on holiday were more likely to perceive TMNP as safer than those on business or visiting friends and relatives. The study's findings add to the literature by offering more insight on tourist perceptions of crime-safety and attitudes towards risk and their impact on tourist behaviour. Various tourist-crime prevention measures to enhance visitor safety at national parks are also recommended to the tourism industry and law enforcement agencies.     

Corporate strategy financialized: Conjuncture,arbitrage and earnings capacity in the S&P500

The conjuncture that ushered in the era of shareholder value served to embed capital market expectations into corporate governance aligning management and shareholder interests. Market arbitrage focussed on modifying contractual relations with stakeholders to extract a (higher) return on invested capital. In this article we focus on cash earnings on capital employed generated by the S&P 500 survivor group of firms covering the period 1990–2008. We use this financial data to construct three complementary perspectives on corporate financial performance: firm, firm-relative and macro. Within this framework the financial numbers and perspectives are analogous to a ‘hall of mirrors’ where ambiguity and contradiction are in play frustrating straightforward performative narratives that connect purpose with financial transformation an era of shareholder value.     

Adaptive forecasting in the presence of recent and ongoing structural change

We consider time series forecasting in the presence of ongoing structural change where both the time series dependence and the nature of the structural change are unknown. Methods that downweight older data, such as rolling regressions, forecast averaging over different windows and exponentially weighted moving averages, known to be robust to historical structural change, are found also to be useful in the presence of ongoing structural change in the forecast period. A crucial issue is how to select the degree of downweighting, usually defined by an arbitrary tuning parameter. We make this choice data-dependent by minimising the forecast mean square error, and provide a detailed theoretical analysis of our proposal. Monte Carlo results illustrate the methods. We examine their performance on 97 US macro series. Forecasts using data-based tuning of the data discount rate are shown to perform well.