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Identifying the flow regime is a prerequisite for accurately modeling two-phase flow. This paper aims to introduce a comprehensive data-driven workflow for flow regime identification.

A numerical two-phase flow model was validated against experimental data and was used to generate dynamic pressure signals for three different flow regimes. First, four distinct methods were used for feature extraction: discrete wavelet transform (DWT), empirical mode decomposition, power spectral density and the time series analysis method. Kernel Fisher discriminant analysis (KFDA) was used to simultaneously perform dimensionality reduction and machine learning (ML) classification for each set of features. Finally, the Shapley additive explanations (SHAP) method was applied to make the workflow explainable.

The results highlighted that the DWT + KFDA method exhibited the highest testing and training accuracy at 95.2% and 88.8%, respectively. Results also include a virtual flow regime map to facilitate the visualization of features in two dimension. Finally, SHAP analysis showed that minimum and maximum values extracted at the fourth and second signal decomposition levels of DWT are the best flow-distinguishing features.

This workflow can be applied to opaque pipes fitted with pressure sensors to achieve flow assurance and automatic monitoring of two-phase flow occurring in many process industries.

This paper presents a novel flow regime identification method by fusing dynamic pressure measurements with ML techniques. The authors’ novel DWT + KFDA method demonstrates superior performance for flow regime identification with explainability.

Our paper studies a central issue with a long history in economics: the relationship between population and economic growth. We analyze the joint dynamics of economic and demographic growth in 111 countries during the period 1960–2019.

Using the concept of economic regime, the paper introduces the notion of distance between the dynamical paths of different countries. Then, a minimal spanning tree (MST) and a hierarchical tree (HT) are constructed to detect groups of countries sharing similar dynamic performance.

The methodology confirms the existence of three country clubs, each of which exhibits a different dynamic behavior pattern. The analysis also shows that the clusters clearly differ with respect to the evolution of other fundamental variables not previously considered [gross domestic product (GDP) per capita, human capital and life expectancy, among others].

Our results indirectly suggest the existence of dynamic interdependence in the trajectories of economic growth and population change between countries. It also provides evidence against single-model approaches to explain the interdependence between demographic change and economic growth.

We introduce a methodology that allows for a model-free topological and hierarchical description of the interplay between economic growth and population.

This paper aims to examine the dynamic of volatility of Malaysian listed property companies within pan-Asian public property markets based on different volatility perspective over the past 18 years, especially during the global financial crisis (GFC).

This study uses several statistical methods and formulas for analysing the dynamic of volatility of Malaysian listed property companies such as exponential generalised autoregressive conditional heteroscedasticity (EGARCH) and Markov-switching (MS) EGARCH. The MS-EGARCH model provides new insights on the volatility dynamics of Malaysian listed property companies compared to conventional volatility modelling techniques, particularly EGARCH. Additionally, this paper will analyse the volatility movement based on three different sub-periods such as pre-GFC, GFC and post-GFC.

The findings reveal that the markets perform differently under different volatility conditions. Moreover, the application of MS-EGARCH provides a different view on the volatility dynamics compared to the conventional EGARCH model, as MS-EGARCH provides more comprehensive findings, especially during extreme market conditions.

This study contributes to the literature on the dynamics of Malaysian listed property companies within pan-Asian countries, as the approach for assessing the volatility performance based on different volatility conditions is less explored by previous researchers.

Current economic conditions have identified a complication if not conflict in the application of valuation analysis assumptions with the free fall in asset prices observed since 2007. Discrepancies in debt obligations (from prior periods) with underlying collateral value have been opined to be an unforeseen anomaly. This investigation aims to observe an alternative perspective using data from 1900 to the present.

This 110‐year period of observation shows that return (value) volatility is the characteristic norm of the market system. Showing volatility as a fundamental characteristic of economic and property performance supports conjecture by definition, observation and rationality that valuation analysis had to be successfully employed in prior down cycles and across divergent economic regimes. A systematic literature search was conducted to identify the application of specific value theory, premises and concepts with appropriate valuation techniques in given economic regimes. The variables derived from the literature and practices observed and designated as operating across time emphasizing recorded recessions are then tested for statistically significant associations using χ² tests.

The findings show that traditional value techniques are successfully applied in stabilized and even accelerated growth periods, but weaken and even break down during down markets. Alternative approaches and techniques are emphasized and developed during these periods that address specific problems but are befitting more general issues. The alternative perspectives are then observed to operate, generating much debate for extended periods. They are then incorporated as orthodox or disappear as issues. This study identifies a statistical link between the economic and valuation concerns of the Great Depression of the 1930s and the current Great Recession of 2007‐2009. The more relevant finding, however, is that the period following the depression of the 1930s, which shows a period characterized as using innovation and alternative valuation techniques, was continued into a period that ran from the 1950s into the mid‐1990s. This was a period of stabilization, at least into the early 1980s. The deregulation of the 1980s generated a period of fewer cycles but major magnitude shifts in the less frequent measures of volatility. Unfortunately, the sophistication in debate concerning valuation procedure and valuation premises, as statistically measured, declined from the 1990s into the present period. The present economy reflects statistical measures similar to those observed from 1900‐1930.

Given the 110 years considered in the study, the findings should not be considered original with regard to assisting the general welfare or professional decision making. However, given that the market shifted from being a useful institution to assist in the allocation and distribution of property to being a religious caveat that could only result in perfect solutions to solve all social needs, wants and ills, the findings emphasizing valuation techniques based on rational value premises that can operate to assist inference of future events subject to divergent and cyclical operations might be calmed to offer very useful assistance with procedure based on fundamentals and expression of behaviour that has long been vilified. The uses of the patterns identified in this study need to be incorporated into causal analysis.

This paper takes an ideal type of different welfare regimes as a starting point. It investigates with survey data people's experiences and expectations towards the welfare state and its functioning against various social risks. The paper discusses questions like, are there differences in perceptions between welfare regimes? And what is the role of the welfare state regime in explaining those differences?

This research article is based on OECD survey data and classical welfare state classifications. The analysis of welfare regimes provides both a theoretical and methodological structure for study. The study-applied analysis of variance (one-way ANOVA) to test a hypothesis that regimes matter analyses more nuanced aspects of current and prospects to the near future welfare state provision.

This examination suggests that welfare regimes still matter even though the differences in averages were not as immense as expected. Perceptions in different welfare regimes also have priorities related to the willingness to pay more taxes in order to receive better access to services and financial support if needed. In Nordic countries, the acute priority based on survey data is investment in education and re-training. In Continental Europe, more financial support is needed for pensions. Overall, respondents representing emerging Eastern European and Mediterranean welfare regimes think that welfare provision should be financed more compared to other welfare regime respondents. Health is a universal and unifying issue, particularly in ageing welfare states, and brings health as a traditional and central question again.

Respondents' perceptions work as people's voice and assessments are used to gain a contemporary understanding of welfare and about welfare state functioning.

This study aims to investigate how and why a new management accounting control (MAC) regime emerged in a previously government-owned energy company with a Soviet past in the context of changing politico-economic dynamics in Ukraine.

Drawing upon data from a case study of a large Ukrainian energy company with a Soviet past that has undergone major transformations in recent years, the authors analyze MAC regime changes in the company from an institutional logics perspective. All primary and secondary data used in this study were collected from 2012 to 2016. Retrospective interviews and extensive use of written materials, including corporate documents and other publicly available data, helped them reconstruct those events, which the authors could not observe personally.

The authors observed that MAC regime changes in the company mirror; overall changes in the political and economic environment and Ukraine’s willingness to become closer to the West. The company seems to follow liberal Western market logics and eliminate those of Soviet heritage. The MAC regime changes seemed to contribute to the company’s survival during challenges caused by the political and economic crises that began in 2014 with the annexation of Crimea and other Ukrainian territories in the East of the country, demonstrating the usefulness of the new MAC regime and overall business logic.

This study adds to the literature on management accounting and control change in emerging economies and extractive industries by highlighting the role of changing institutional logics in shaping a MAC regime. The authors explain why, in some contexts (i.e. Ukraine), organizational actors accept and favor liberal Western market logic.

A particularly significant facet of this study concerns its extension of the role of MAC and the way it is perceived in a new international context in times of significant transformation. The results suggest that MAC regime change may be favorably received if it is based on local values and aspirations.

This study aims to provide an overview of sustainability in Flemish higher education (HE) by using the multi-level perspective (MLP) on sustainability transitions for a comprehensive empirical analysis of how sustainability is embedded in Flemish HE.

MLP was used as analytical framework to study the case and allow a focus on the interplay between innovative experiments in niche-practices, the characteristics of the prevailing regime (dominant structures, cultures and practices) and macro-trends at the landscape level. The data were collected through document analyses, surveys, in-depth interviews and a focus group. The empirical analysis was complemented with an extensive literature study.

In all, 9 landscape trends, 21 regime characteristics and 5 types of niches are identified. Furthermore, the multi-level analysis revealed 5 important lock-ins in the dominant regime that impede the upscaling of sustainable niches, 5 internal contradictions that destabilise the regime and can thus create windows of opportunity for niches to become viable alternatives and 16 opportunities for further embedding sustainability in HE.

The paper gives an original insight into the complexities of integrating sustainability in HE, highlights the important role of policy entrepreneurs to grasp emerging opportunities and offers them insight into how to create momentum and identify and fruitfully address windows of opportunity for a sustainability transition. It shows the potential and limits of the MLP for research on HE and outlines prospects for future research.

Purpose – The chapter answers the question if urban regime theory (URT) can provide a useful framework to understand and solve problems of cooperation in regional processes in rural–urban areas.

Methodology/approach – The chapter is a theoretical discussion on problems found in contemporary rural spatial governance.

Findings – URT can provide a framework for understanding the obstacles encountered in regional development and is a promising perspective for the analysis of regional processes. A solution for problems in regional cooperation can be found in so-called ‘vital coalitions’, forms of vital interaction between regional actors, based on energy and productivity, that can create a ‘capacity to act’ in regions that have become ‘gridlocked’ by current procedures and regulations.

Research limitations/implications – A modern URT, applied in a regional context:(1)Can point out ‘how power is organised to act’;(2)Analyses informal networks between actors as bases for cooperation and vitality, and as a possible starting point for new (cultural) counter-regimes and(3)Offers insight into regional complexity and cooperation and into emergent regimes.

Practical implications – Vital coalitions are forms of self-governance, that introduce new agendas and function as forms of niche-innovation in regions. This can lead to the forming of new ‘cultural regimes’ in which the motives and values of civilians are a key element.

Originality/value of the chapter – The value of the chapter lies in the use of concepts in regions from a fresh new perspective, by translating the URT from a local, urban context to a regional rural–urban perspective.

The following report on political risk in the Phillippines is an abbreviated version of a detailed study. The full report presents the theoretical underpinnings for the model, as well as a detailed rationale for all measurement decisions. The model's estimate of regime stability prior to and following the Aquino assassination has been borne out by subsequent events. While increasing his vulnerability somewhat, the assassination has not reduced Marcos' effective power to a level where regime stability is threatened. The report is distributed by Booz Allen & Hamilton, Bethesda, Maryland, to its political risk group clients.

Literature, spanning industrial organization and strategic management disciplines, uses variance decomposition to understand the relative importance of firm, industry and business group effects in shaping profitability variations. Some literature analyzes firm profitability under transition to liberalization. Previous research has taken a static before-and-after view on institutional change. This paper aims to focus on the dynamic process of liberalization in India, analyzing how different institutional regime changes alter firm behavior leading to changes in profitability patterns.

Based on a panel data set of several thousand Indian firms, spanning the 26-year period between 1980-1981 and 2005-2006, the authors determine the relative importance of firm, industry and business group effects in explaining manufacturing firms’ profitability variances across different institutional phases. The authors evaluate three propositions that help assess transition dynamics between phases. They determine the quantum of catch-up or falling behind by firms.

Different industries emerge as profitability leaders, as the economy progresses through different liberalization phases. Business groups that have been more effective in resource appropriation, rent-seeking, politician management and non-market activities in a controlled regime are replaced as profit leaders by those that, in a free-market economy, can be capable of intra-business resource allocation tasks and leveraging corporate capabilities.

The approach demonstrates how to analyze the underlying detailed structure of firm-level data, and performance outcomes, to derive nuanced interpretation of factors giving rise to the effects that explain profitability variances, and how to assess the way these effects behave over time. The dynamic evidence-based approach highlights what factors matter, where, when and why, in influencing profitability variances, which are a key dimension of industrial and economic performance.