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This study examines the dynamic responses of five different daily energy prices to a pulse shock affecting the daily price of oil.

Daily data for energy prices from the Federal Reserve Economic Data (FRED) database for January 7, 1997, through February 8, 2021, are analyzed. A bivariate structural vector error correction model and generalized autoregressive conditionally heteroscedastic model are combined and extended by adding the volatility of the growth rate of daily oil prices as an explanatory variable for the growth rates of energy prices. This model is estimated and used to generate impulse responses for energy prices.

The empirical results show that the levels of the daily energy prices examined have unit roots, are integrated of order one, are cointegrated, and generally revert slowly to their long-term equilibrium relationships with the price of oil. The growth rates for the daily energy prices have autoregressive conditional heteroscedasticity, generally are positively related to the volatility of daily oil prices, respond quickly to a pulse shock to daily oil prices, and have cumulative responses that last at least one month.

This paper allows for simultaneous estimation of extended bivariate structural vector error correction and generalized autoregressive conditionally heteroscedastic models that include the volatility of oil as an explanatory variable and uses these models to generated cumulative impulse responses for the growth rates of daily energy prices to oil price shocks.

This paper aims to assess how a hotel geographical location in different parts of Central and Eastern Europe influences the complexity of perception of pro-environmental behavior.

To find out, whether hotel location in a specific country influences the complexity of environmental practices, this study used two closely connected multivariate statistical techniques analyzing gradients: principal components analysis and partial redundancy analysis. The research comprises data collection from seven countries in Central and Eastern Europe. In all, 25 randomly selected hotels (based on star rating) from various countries were approached to complete a questionnaire. Environmental practices were studied based on motivations, perception of barriers, perception of support from different levels of public sector, will of managers to promote pro-environmental measures based on sufficient funding, perception of legislation and perception of various other important factors.

The study reveals significant differences between hotels in Central Europe and Eastern Europe in the perception of the complexity in implementation of the environmental practices by hotel managers. The character of the present study, however, needs to address the identification of particular aspects that are relevant to the geographical differences among the studied countries.

Research was limited to a selection of Central and Eastern European (CEE) countries. There is still probability that managers in hotels from Poland and Croatia could possess different preferences. Other limitation of this study is that only special part of hotels were asked – hotels certified by star grading, out of our scope remained other hotels. It is also known that important factor is precise location of hotel within country – hotels in established tourism destination behave other way that those outside recreational areas. These factors deserve further study within this topic. There are many aspects of sustainability and environmental protection regarding hotel industry. As we have found in our principal correspondence analysis, different environmental measures were different location in biplot – some were affected by country, the other by star grading and affiliation to hotel chain. The complexity deserves to be studied in depth.

The importance lies first in the identification of the aspects that are governed by geographical differences among the countries studied. These aspects are the initiatives and support from the government and the local governments, which counteract the perception that there is a lack of financial resources and the return on investments is slow. So, based on the data, which included information from various types of hotels from seven CEE countries, the activities of national and local authorities were identified to be the main differentiating variable. The support of the environment-friendly conduct of business in the hotel industry is appreciated by hotel managers from Central Europe. On the other hand, hotel managers from Eastern Europe do not feel any significant support from either national or other public institutions. The second factor of differentiation is represented by the perception of the lack of funds. Hotel managers from Eastern Europe feel strongly about funds limitation. The coherence of both those factors is obvious in the results, as they show the same direction but opposite orientation. It has already been discussed above. When looking at the results, the authors find the perception of availability of funds to be a fundamental difference between hotel management in Central Europe and in Eastern Europe. The lack of funds is perceived more intensively in Eastern Europe than in Central Europe, particularly because of a stronger awareness of direct or indirect support for such activities by national and other public institutions in Central Europe.

The differentiation of the aspects mentioned above comes from the social and culture policies, company policies and business cultures between these two sub-realms. Pro-environmental actions are apparently promoted less publicly in Eastern European countries than in Central European countries. The reaction to the trend for demand of greener hotels is stronger in the West, and its hotels are more likely to have legislation requirements and public support as an incentive to adopt pro-environmental measures in their business operations.

The study is based on data obtained from seven countries. The results revealed a problem of the macro-environmental influence on hotels’ potential to implement environmentally sustainable approaches and procedures throughout the industry.

In this chapter, the authors analyze the academic field of comparative education in Spanish speaking Latin America as a contested construction both in epistemological and political dimensions. First, the authors provide a brief historical account of the origin and development of comparative education in the region since the nineteenth century. Next, they focus on the current state of the field by addressing three aspects: (1) the institutional basis, specially the development of comparative education societies; (2) an account of the contributions of international organizations, both in terms of studies that have been recently conducted and of the development of data bases; and (3) an analysis of prevailing topics as well as theoretical and methodological approaches in a sample of articles published during the 2010-2017 period. The authors conclude by summarizing the main aspects of the current situation, and pointing to future epistemological and political challenges for the field in the region.

Near-fault pulse-like ground motions have distinct and very severe effects on reinforced concrete (RC) structures. However, there is a paucity of recorded data from Near-Fault Ground Motions (NFGMs), and thus forecasting the dynamic seismic response of structures, using conventional techniques, under such intense ground motions has remained a challenge.

The present study utilizes a 2D finite element model of an RC structure subjected to near-fault pulse-like ground motions with a focus on the storey drift ratio (SDR) as the key demand parameter. Five machine learning classifiers (MLCs), namely decision tree, k-nearest neighbor, random forest, support vector machine and Naïve Bayes classifier , were evaluated to classify the damage states of the RC structure.

The results such as confusion matrix, accuracy and mean square error indicate that the Naïve Bayes classifier model outperforms other MLCs with 80.0% accuracy. Furthermore, three MLC models with accuracy greater than 75% were trained using a voting classifier to enhance the performance score of the models. Finally, a sensitivity analysis was performed to evaluate the model's resilience and dependability.

The objective of the current study is to predict the nonlinear storey drift demand for low-rise RC structures using machine learning techniques, instead of labor-intensive nonlinear dynamic analysis.

Metaphor is an important concept for clean language interviewers. This chapter describes what metaphor is and overviews the experimental research showing the potential for metaphor to influence interviewees. It expands on the brief introduction to metaphor in Chapter 1 and describes the role clean language can play by enabling interviewees' metaphors to be elicited, explored and modelled without the influence of the interviewer's metaphors. It justifies the value of a heightened awareness of the ubiquity and variety of metaphors and their involvement in the different phases of qualitative research; and builds an argument for how a clean language interviewing approach to metaphor can enrich the research process.

The purpose of this article is to challenge the balanced budget practices of U.S. state governments and offer alternatives that may lead to better fiscal, economic and policy outcomes. We contend that the norm of balance may be leading U.S. states to make fiscal decisions that result in less-than-ideal outcomes, especially during economic downturns.

This is a normative article. We examine the scholarly evidence regarding balanced budget practices to assess the appropriateness of balanced budget norms. We also examine the fiscal rules followed by Eurozone countries to draw potential lessons for U.S. states.

We conclude that state governments should move away from strict norms of budget balance and seek more flexible approaches. We suggest that instead of following strict rules and norms of balance, U.S. states should consider implementing escape clauses, debt and deficit ceilings, and fiscal councils. We also suggest that the Federal Reserve be open to lending directly to states during fiscal crises to ensure that states have access to affordable credit.

The balanced budget norm has become ingrained in U.S. state budgeting practices, so much so that public officials and scholars alike rarely question it. The novel contribution of our article is to question this practice in a systematic way and propose alternative approaches.

Extreme metal originated in North America and Europe in the late-1980s, but Australia’s adoption of the form followed closely. One of the first Australian extreme metal (AEM) acts was Sadistik Exekution from Sydney, formed in 1985. Sadistik Exekution are notable for combining musical intensity with irreverent humour and parody. They introduced global extreme metal to the trope of the Australian larrikin: a once pejorative characterisation that has become a term of endearment in contemporary Australian culture, describing a defiant and jocular personality. This trope is evident in Sadistik Exekution’s work, but it has since proliferated more broadly throughout AEM, exemplified by more recent bands like Blood Duster and King Parrot. Their music, too, is inarguably intense and provocative, but is simultaneously mocking of the solemnity of its scene and lineage. This chapter will examine how bands like Sadistik Exekution, Blood Duster and King Parrot, through their public personas and musical and paramusical texts, have subverted extreme metal coding, thereby uncovering a uniquely Australian trajectory in extreme metal style and history.

In retail industry, it is very important that companies start to own an omnichannel approach in order provide an integrated experience. This approach is recognized as a key to have sustainable growth for companies and brands. In this study, it is aimed to examine the application of omnichannel decisions in different marketing channels and the contributions of this approach in the strategic plans of companies to create an overall customer experience in Turkey. For this purpose, a thorough literature review was provided on different marketing channel approaches, especially retailing and wholesales. In-depth interviews with companies showed that companies in Turkey are underway to include omnichannel approach in their short-term plans to improve their sales volume, and these companies also use this approach as a positioning by creating an integrated customer experience through customer relationship management.

Modelling is a research methodology that has received little academic attention since it began to be formulated in the 1970s. On the spectrum of clean language interviewing (CLI) applications described in Chapter 1, the most sophisticated is modelling, and especially modelling that takes place in real time during the interview.

This chapter defines what we mean by ‘a model’ and ‘modelling’ and explains how they are related to CLI. We situate the chapter by recounting how modelling became linked to CLI. To conclude we consider some of the methodological challenges faced by both the interviewee and interviewer involved in a modelling research project.

We also explain how interviewee metaphors discussed in Chapter 3 can support the modelling process. Much of the modelling that takes place during an interview resides in the background of the interaction. To illustrate modelling we provide an annotated transcript of a symbolic modelling interview that uses clean language to model the skill of ‘knowing what is essential’.