What have We Learnt from the Convergence Debate?

This paper surveys the convergence literature. It begins by laying out different definitions of convergence and by showing the link between the convergence issue and the growth theory debate. The paper then follows the convergence research conducted along four different approaches, namely the cross‐section, panel, time‐series, and distribution approaches. The paper shows the association of these methodological approaches with various definitions of convergence and highlights the connections among the convergence results. It shows that, despite some impressions to the contrary, there is considerable agreement among the results. Although the convergence research might not have solved the growth debate entirely, it has helped both the neoclassical and the new growth theories to adapt and evolve. The research on convergence has established new stylized facts regarding cross‐country growth regularities. It has brought to fore the existence of large technological and institutional differences across countries and has given rise to new methodologies for quantifying and analyzing these differences. This is providing a new information base for analysis of technological and institutional diffusion and for further development of growth theory in general.     

Modelling and forecasting national introduction times for successive generations of mobile telephony

An accurate prediction of the timing of a country's introduction of a new generation of mobile telephony benefits numerous agents including suppliers of network and consumer equipment, regulators, and network planners. We consider the estimation and prediction of the time interval between the international introduction of a generation of mobile telephony and its introduction into a specific country when a decision maker judges the introduction of a newer technology a worthwhile investment. Using literature-based socio-economic and geographical variables, we examine how well variation in international introduction times of four generations of mobile telephony in 172 countries can be explained and forecast. We model and forecast introduction times at two levels of granularity: we use Cox's proportional hazards model for the introduction time; we partition countries into introduction time-based segments and model segment membership using multinomial logistic regression. Our modelling of each generation considers three subsets of explanatory variables: All variables, socio-economic Covariates only, Regional dummies only. Over successive generations, the Covariates only models reveal the changing relevance of each socio-economic covariate. Model-based forecasting of the introduction time of the next generation is performed under three hypotheses making different uses of the information available at the time the relevant generation is launched internationally. However, changing socio-economic environments coupled with changing models impair forecasting accuracy, the lower accuracy of modelled introduction times is concentrated in 20% of countries. We speculate about the nature of the unobserved factors affecting these countries' decision processes.     

Business Ethics and Quantification: Towards an Ethics of Numbers

Journal of Business Ethics - Social practices of quantification, or the production and communication of numbers, have been recognized as important foundations of organizational knowledge, as well...     

Simulation of truck arrival process at a seaport: evaluating truck-sharing benefits for empty trips reduction

Empty running of container trucks increases empty miles. With the aim of a reduction in the number of empty-truck trips, this study simulates the truck-sharing idea in a port and also evaluates the positive effects of the changes made. This study develops simulation models for the current process (the current truck arrival process in a seaport) and the proposed process (the idea of truck-sharing). The data for this study are provided by a local port. Simulation results are validated by using real-life data from the port. The simulation results confirm that the truck-sharing idea boosts port transport capacity, and that it can handle the increasing future truck volume effectively. The truck-sharing idea can also account for reduced emissions released from trucks in the port surroundings. The results of the simulation will be useful in persuading port authorities to evaluate truck-sharing initiatives. This study will assist port managers with replies to questions, such as ‘What impact will truck-sharing have on transport capacity expansion?’     

Greenhushing: the deliberate under communicating of sustainability practices by tourism businesses

ABSTRACT

Greenhushing selectively communicates fewer pro-sustainability actions by businesses than are practiced; based on a perception of customers’ rights to consumerism. We first studied the gap between the communication of sustainability practices in the audits and websites of 31 small rural tourism businesses in the Peak District National Park (UK). The analysis showed that businesses only communicate 30% of all the sustainability actions practiced. Their websites emphasised customer benefits, using explicit, affective, experiential and active language that legitimises the customers’ hedonistic use of the landscape, while downplaying complex issues and normalising sustainability to reduce customer guilt. Just one website mentioned climate change. We found that greenhushing results from a low moral intensity, masking potentially negative consequences of perceived lower competence, whilst protecting business from more cynical consumers who may interpret their statements as hypocritical. Subsequent textual analysis and interviews were used to understand how communication constitutes these organisations. We propose that greenhushing reshapes and constitutes tourism businesses through their communications. Moreover, greenhushing is a form of public moralisation that adopts communication practices similar to greenwashing, reflecting the social norms expected from a business; however, in this case, located in a moral muteness, rather than moral hypocrisy, that businesses accept but resent.     

Dynamic linkages between tourism transportation expenditures,carbon dioxide emission,energy consumption and growth factors: evidence from the transition economies

Tourism transport profoundly affects economic growth, energy consumption and carbon dioxide emissions. This study is an attempt to examine the impact of international tourism transportation expenditures, energy demand, foreign direct investment inflows, trade openness and urban population on carbon dioxide emission and per capita income for the panel of 11 transition Economies, over the period of 1995–2013. The results show that per capita income escalates the carbon dioxide emission (CO₂), which deteriorates the natural environment. International tourism receipts and international tourism expenditures for travel items are associated with the intensifying CO₂ emission and per capita income in the region. The study confirmed the energy-led emissions, FDI-led emissions, FDI-led growth, income-led emissions, income-led energy demand, trade-led growth and trade-led energy demand. The causality results further substantiate the the tourism-led growth and FDI hypothesis in the region. Finally, the variance decomposition analysis confirmed the following results, that is, (i) per capita income is the contributor that least influences CO₂ emissions, (ii) urban population influences per capita income and (iii) international tourism transportation expenditures will influence CO₂ emissions and per capita income for the next 10-year period.     

Price transmission in the Spanish bovine sector: the BSE effect

A regime-switching vector error correction model is applied to monthly price data to assess the impact of Bovine Spongiform Encephalopathy (BSE) outbreaks on price relationships and patterns of transmission among farm and retail markets for bovines in Spain. To evaluate the degree to which price transmission is affected by BSE food scares, a BSE food scare index is developed and used to determine regime switching. Results suggest that BSE scares affect beef producers and retailers differently. Consumer prices are found to be weakly exogenous and not found to react to BSE scares, while producer prices are conversely adjusted. The magnitude of the adjustment is found to depend on the magnitude of the BSE scare.