Plant-level nonconvex output adjustment and aggregate fluctuations

In most manufacturing industries plant-level output is adjusted along three margins of capacity utilization: shiftwork, weekend work, and closing temporarily down. Due to the discrete and lumpy nature of these margins, only a fraction of plants adjust output in response to shocks. In a business cycle model calibrated to establishment-level observations, these nonconvexities make aggregate output less volatile than when plants can adjust smoothly. Further, the mass of adjusting plants is larger in downturns than in upturns, leading to counter-cyclical volatility of aggregate output and government policy being slightly more effective in recessions than in expansions.     

Heterogeneity in bank pricing policies: The Czech evidence

We estimate the pass-through from market interest rates to bank interest rates using heterogeneous panel cointegration techniques to address heterogeneity at the bank level in the Czech Republic. The results indicate heterogeneity in bank pricing in the short, but not in the long term. Mortgage rates and firm rates typically adjust to money market changes, but often less than fully in the long run. Large corporate loans have a smaller mark-up than small loans. Consumer rates have a high mark-up and do not exhibit a cointegration relationship with money market rates even in the long run. Next, we examine how bank characteristics determine the nature of interest rate pass-through in a cross-section of Czech banks. We find evidence for relationship lending, as banks with a stable pool of deposits smooth interest rates and require a higher spread as compensation. Large banks are not found to price their products less competitively. Greater credit risk increases vulnerability to money market shocks.     

Market selection with learning and catching up with the Joneses

We study the market selection hypothesis in complete financial markets, populated by heterogeneous agents. We allow for a rich structure of heterogeneity: individuals may differ in their beliefs concerning the economy, information and learning mechanism, risk aversion, impatience and ‘catching up with the Joneses’ preferences. We develop new techniques for studying the long-run behavior of such economies, based on Strassen’s functional law of the iterated logarithm. In particular, we explicitly determine an agent’s survival index and show how the latter depends on the agent’s characteristics. We use these results to study the long-run behavior of the equilibrium interest rate and the market price of risk.     

Research & development and growth: A Bayesian model averaging analysis

We examine the effect of research and development (R&D) on long-term economic growth using the Bayesian model averaging (BMA) to deal rigorously with model uncertainty. Previous empirical studies, which applied BMA, investigated the effect of dozens of regressors on long-term growth, but they did not examine the effect of R&D due to data unavailability. We extend these studies by proposing to capture the investment in R&D by the number of Nobel prizes in science. Using our indicator, the estimates show that R&D exerts a positive effect on long-term growth. This result is robust to many different parameter and model prior structures as well as to alternative definitions of R&D indicator.     

Mix between Satisfaction and Attributes Destination Choice: A Segmentation Criterion to Understand the Ski Resorts Consumers

This study examined the attributes prioritized by tourists when choosing a winter sports destination and their degree of satisfaction with the services provided by Portugal's only ski resort. Two hundred tourists completed a questionnaire with factor analysis then deployed to extract the data that served as the basis for cluster analysis. Our results report discrepancies between the attributes valued by tourists when choosing winter sports destinations and their degree of satisfaction with the ski resort's services. Moreover, the combination between attributes/motivations prevailing in destination selection and the subsequent satisfaction with the services provided may generate information of relevance to evaluating organizational competitiveness. Copyright © 2014 John Wiley & Sons, Ltd.     

Environmental impacts of changes to healthier diets in Europe

Food consumption causes, together with mobility, shelter and the use of electrical products, most life cycle impacts of consumption. Meat and dairy are among the highest contributors to environmental impacts from food consumption. A healthier diet might have less environmental impacts. Using the E3IOT environmentally extended input output database developed in an EU study on Environmental Impacts of Products (EIPRO), this paper estimates the difference in impacts between the European status quo and three simulated diet baskets, i.e. a pattern according to universal dietary recommendations, the same pattern with reduced meat consumption, and a ‘Mediterranean’ pattern with reduced meat consumption. Production technologies, protein and energy intake were kept constant. Though this implies just moderate dietary shifts, impact reductions of up to 8% were possible in reduced meat scenarios. The slightly changed food costs do not lead to significant first order rebound effects. Second order rebounds were estimated by applying the CAPRI partial equilibrium model. This analysis showed that European meat production sector will most likely respond by higher exports to compensate for losses on the domestic meat market. Higher impact reductions probably would need more drastic diet changes.     

Öffentliches und Geheimes

In the second half of 2009, the entire media agenda in Germany was dominated by the swine flu, next to the German Federal Parliament elections. Criticism was voiced in the media against the pharmaceutical industry for lobbying the nationwide swine flu vaccination, which was widely considered nothing but a product of the industry’s lobbying power. In order to avoid the usual interviews with lobbyists, we attempted to apply a new methodological framework approach in analysing lobbying processes and key stakeholders in the public sphere—and outside. Crucial to the diversified approach, which involves quantitative content analysis of media coverage and press releases, are interviews with journalists, lobbyists’ network analysis and internet research on biographies. Although a conspiracy could not be conclusively proven, the results do indicate associations that validate the criticism of the industry’s lobbying activities.     

Spirituality and corporate social responsibility: an empirical narrative from the Balinese tourism industry

The emerging body of knowledge has indicated the positive relationship between spirituality and corporate social responsibility (CSR), yet our understanding of how spirituality can play a role in CSR in general, and in tourism in particular, remains limited. This research takes a qualitative case study approach to the role of spirituality-inspired CSR by providing an empirical investigation of tourism businesses in Bali, Indonesia, where the Hindu based Tri Hita Karana philosophy drives its cultural identity. A total of 20 qualitative interviews and two focus groups were conducted with Bali tourism stakeholders including businesses, government, community and NGOs. The findings show that spirituality plays an important role in CSR in Balinese tourism in three dimensions, namely (1) as a key element of the broader social and cultural context to create a conducive external environment for CSR; (2) as a CSR driver to inspire business leaders; and (3) as a complement to CSR governance, though with limitations. This research contributes to the literature by providing an empirical narrative that demonstrates strong multi-layered links between spirituality and CSR and the implications for tourism destinations in spirituality-oriented cultures.     

A green economy indicator framework for tourism destinations

This paper presents a green economy indicator framework for tourism destinations which has been developed in the case study destination of Bali, Indonesia. Whilst the term “green economy” can have many interpretations, here it refers to the global strategy framework surrounding Rio+20, as well as the policies and strategies being developed by tourism destinations as a response. Many uncertainties remain about the effectiveness of these efforts and how they may be measured. For lesser developed countries in particular, reliable data is often difficult to obtain and this study uses a case study approach to identify the relevant, and measurable, indicators in this context. First, a nominal group technique was applied to identify the green economy issues for local tourism stakeholders. The indicators were then selected based on the green economy literature and a review of the available secondary data for the destination. Data on greenhouse gas emissions from tourism was identified as one of the critical gaps and an estimate is provided to show how this could be obtained and monitored. While this indicator framework was developed specifically for Bali, the case study may be relevant for many other island destinations in the lesser developed world that are experiencing rapid tourism growth.