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This paper aims  to examine the dynamic spillovers of Federal Reserve’s monetary policy shocks on real house price indices in nine emerging economies, namely China, Brazil, Thailand, Chile, Peru, Mexico, Malaysia, Indonesia and South Africa.

The authors use the local projection method with a panel data set of these countries spanning from 2005Q3 to 2019Q4 to estimate local projections at each period rather than extrapolating into distant periods from a given model.

A pure tightening monetary policy shock is associated with a decline in housing prices in the nine emerging markets. However, the optimistic information about the US macro-economic fundamentals that is embedded in the tightening announcement would increase housing prices. Therefore, the net transmission effects of the US policy rate shocks may be smaller than what previous studies reported. In addition, the authors also find that capital control actions executed by emerging countries are effective in mitigating the spillovers of the US monetary policy.

First, the paper aims to investigate the effects of US monetary policy shocks on housing prices in emerging economies which have not received sufficient scholarly attention. Second, the analysis focuses on both pure monetary policy shocks and the Federal Reserve's information on economic fundamentals contained in its rate announcements. Third, the authors also assess the effectiveness of capital controls imposed by policymakers in emerging countries in mitigating the spillovers of US policy rate shocks on housing prices in emerging markets.

This paper aims to examine the dynamic impacts of the COVID-19 pandemic and government policy on real house price indices in five emerging economies, namely, Brazil, China, Thailand, Turkey and South Africa.

The authors use the local projection method with a panel data set of these countries spanning from January 2020 to July 2021.

The number of COVID-19 confirmed positive cases raised housing prices, whereas government containment measures reduced them. Both conventional and unconventional monetary policy implemented by central banks to cope with the COVID-19 helped increase housing prices. These effects were strengthened by the US monetary policy via globalized financial markets.

First, while previous researches typically concentrated on developed countries, the authors investigate emerging economies where proportionally more people were badly affected by the pandemic. Second, a panel data set of five emerging economies enabled the authors to examine the dynamic effects of the COVID-19 crisis on housing prices. Third, to the best of the authors’ knowledge, this is the first study evaluating the influences of easing monetary policy on housing prices in emerging economies during the pandemic.

This paper aims mainly at introducing applied statisticians and econometricians to the current research methodology with non-Euclidean data sets. Specifically, it provides the basis and rationale for statistics in Wasserstein space, where the metric on probability measures is taken as a Wasserstein metric arising from optimal transport theory.

The authors spell out the basis and rationale for using Wasserstein metrics on the data space of (random) probability measures.

In elaborating the new statistical analysis of non-Euclidean data sets, the paper illustrates the generalization of traditional aspects of statistical inference following Frechet's program.

Besides the elaboration of research methodology for a new data analysis, the paper discusses the applications of Wasserstein metrics to the robustness of financial risk measures.

The paper investigates the production inefficiency of the US electricity industry in the wake of restructuring and emission reduction regulations.

The study estimates a multiple-input, multiple-output directional distance function, using six inputs: fuel, labor, capital and annualized capital costs of sulfur dioxide (SO₂₎, nitrogen oxides (NO_X) and particulate removal devices, two good outputs – residential and industrial-commercial electricity and three bad outputs – SO₂, carbon dioxide (CO₂) and NO_X emissions.

The authors find that restructuring in electricity markets improves deregulated utilities' technical efficiency (TE). Deregulated utilities with below-average NO_X control equipment tend to invest less in these devices, but above-average utilities do the opposite. The reverse applies to particulate removal devices. The whole sample spends more on NO_X, particulate and SO₂ control systems and reduces its electricity sales slightly. Increased investments in SO₂ and NO_X control equipment do not reduce SO₂ and NO_X emissions, but expansions of particulate control systems cut down SO₂ emissions greatly. Stricter environmental regulations have probably shifted the production frontier inwards and the utilities farther from the frontier over time.

Restructuring and environmental regulations do not make all utilities invest more in emission control systems. The US government should devise other schemes to achieve this goal.

The paper unveils heterogeneous reactions of US electric utilities in the wake of restructuring and emission regulations.

Tourism research is usually based on quantitative rather than theoretical and conceptual studies. However, as a new discipline this phenomenon needs a more theoretical approach. It could help to find an interdisciplinary consensus on tourism. The authors consider service marketing as an interesting approach from an intradisciplinary perspective. They think that it could be an instrument for a better understanding of tourism.

Using the evaluative congruity theory framework, this article examines the role of destination images in tourism as related to an individual tourist's satisfaction/dissatisfaction with a destination area. Through an empirical study of visitors to a multi‐faceted destination area in Virginia, USA, the researcher found that the level of a tourist's satisfaction/dissatisfaction (TS/DS) with a destination area was highly correlated to an evaluative congruity of an individual tourist's pre‐visit destination images and his/her post‐visit recollection of experiences.

The main purpose of this paper is to provide empirical evidence for effective crisis communication in public emergencies including the relevance of planning and training and rehearsal; to explore the role of different stakeholders and how social media influence effective crisis communication.

A qualitative research design was employed. Two events were analysed, via the synthesis model for handling crisis communication in the public sector, as cases. First, via post-crisis semi-structured interviews, a gas explosion in the city of Antwerp was analysed. Second, via participant observation of a training and rehearsal exercise, more insight was gained on the role of training and social media for crisis communication.

The findings of this paper provide empirical evidence that (1) effective crisis communication is communication that is diversified across different crisis stages and diverse stakeholders; (2) that different internal social media tools and external social media tools are necessary to be monitored for effective crisis communication; (3) that training and rehearsal are of great importance for effective crisis communication.

This paper contributes to three current crisis communication research calls. First, the call for more research focusing on public sector crisis management, using public sector crisis communication models. Second, the call for the implementation of a more multiple-actor approach instead of an organisation-centred approach; and, third, the call for gaining insight into how specific communication channels are used before, during and after a crisis.

The goal of a behavior analysis approach to travel studies is to understand the psychological forces that motivate an individual traveler, that influence the various travel‐related decisions the individual makes, and that impact the level of satisfaction with a destination region (Chon, 1989). A number of tourism and recreation researchers have investigated the reasons why people travel; studied the traveler's travel purchase behavior; and emphasized the image of a tourist destination and the tourist's perception of an attitude toward a tourist destination.