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The current challenges experienced by all nations promote the trade-off between the increase in economic performance and the protected environment. The investigation based on the energy economy has become an irreplaceable topic to determine the correct path for minimizing the trade-off cost. Within this scope, this study has been performed to investigate the causality nexus between the exports indicators (aggregated exports and the ICT exports) and the energy consumption (renewable and nonrenewable energy consumption of the selected five emerging countries. The Dumitrescu–Hurlin panel causality analysis is performed on the annual data between 2000 and 2014. As a consequence of the evidence, it is documented that there are various causality relationships between the exports and the energy consumption indicators in the light of the performed analysis at different lags. However, the role of nonrenewable energy consumption is more active in the economies of the considered countries. According to the evidence, it is recommended for the emerging countries to invest and allocate more funds to renewable energy resources to diminish the role of nonrenewable energy resources in the economy.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Purpose – This study explores the probability of expropriation of minority shareholders by controlling shareholders in the form of CEO compensation under an imperfect governance institution by using a novel Chinese dataset over 2001–2010.

Design/methodology/approach – We use a direct method to gauge controlling shareholders’ tunneling and expropriation of minority shareholders, and we present a simple model to link corporate governance and the degree of entrenchment by the largest shareholder. We use both Logit and Probit models to predict the likelihood of tunneling and use two-stage least square (2SLS) regression to address the endogeneity issues.

Findings – There are significant deterioration effects between controlling shareholder's tunneling and firm performance. Firms with more tunneling activities typically have larger controlling ownership, greater evidence of state control, less balance of power among large shareholders, and weaker board characteristics.

Research limitations/implications – The positive relationship between controlling shareholders’ tunneling and executive compensation implies that the controlling shareholder might divert personal benefits from the public firms at the expense of minority shareholders.

Originality/value – We focus on the effects of corporate governance restructuring on executive compensation and controlling shareholders’ tunneling in the Chinese context, and we also investigate whether these effects are stronger with the involvement of state ownership. We empirically address the issues between executive compensation and expropriation of minority shareholders.

Purpose – We study the investment behavior of foreign institutional investors operating in China. A detailed analysis of foreign institutional investors is examined, along with a comparison of domestic Chinese investors.

Methodology/approach – We adopt annual Chinese stock market data for the period 2003–2009 for both foreign and domestic funds to analyze the industrial preference of foreign funds and compare the different preferences between foreign funds and domestic Chinese funds in relation to financial characteristic and corporate governance indicators.

Findings – The analysis reveals that foreign funds have a preference for a range of sectors such as transportation, metals and nonmetals, and machinery, as opposed to industries with a requirement for local knowledge. The portfolios of domestic Chinese funds are distributed more evenly across sectors, compared to foreign funds. The comparative analysis reveals that the companies foreign funds invest in are significantly different from those firms favored by domestic funds in terms of size, profit, and management compensation.

Social implications – These empirical findings highlight the differences between foreign and domestic funds investment preferences and has implications for policy makers aiming to attract foreign investors to emerging markets.

Originality/value of chapter – Our chapter not only provides an introduction on the QFII scheme in China, but also examines the impact of a comprehensive range of firm-level characteristics, financial and corporate governance indicators, on the investment decisions of foreign and domestic funds in emerging markets.

Introduction – Increases in prices of commodity markets may be associated with increased volatility in financial markets. That is why analysing time-varying co-movements of commodity prices can be of great importance for investors who take into consideration optimal asset allocation.

Purpose – The aim of this study is to investigate the volatility spillover from oil to precious metals under high-volatility and low-volatility regimes.

Methodology – The data covered daily closing prices of assets such as oil, palladium, and platinum for the period January 2010–December 2018. GARCH models were analysed in order to determine the most appropriate volatility structure, and it was determined that GARCH (1,1) model was the most suitable model for all commodities. Markov Switching model was used to analyse the volatility spillover from oil to precious metals.

Findings – According to the analyses, the results showed that there were volatility spillovers from oil to palladium and platinum in low-volatility regimes and from oil to platinum in high-volatility regimes. On the other hand, there was no volatility spillover from oil to palladium in high-volatility regimes. Investing into oil and palladium in the same portfolio can provide diversification benefits for investors in high-volatility regimes. On the other hand, investing into oil and palladium in the same portfolio may not provide diversification benefits for investors in low-volatility regimes. The findings of the analyses can be beneficial for investors, market participants, and portfolio managers to make an accurate portfolio management.

In the past 10 years, the scale of running events in China has increased dramatically, and the forms of running events have also become rich and diverse. Running is not only a social phenomenon but also a historical and cultural phenomenon as an organic part of human culture with its own sociological values in China. This chapter offers insight into the development of Chinese running culture and how this has emerged from ancient and modern Chinese running cultures based on Foucault's disciplinary power theory, biopower and the technologies of the self. This chapter argues that running culture in China constructs the subjectivity of the Chinese runners under the joint action of the technologies of power and the technologies of the self. The findings acknowledge how Chinese Runners present and express themselves by showing a ‘sense of presence’. Runners illustrate the implicit or explicit meaning and value of a particular way of life through running. Runners regard running as the technology of the self for self-expression and self-creation so that individuals can control their bodies and soul, thoughts, behaviours and ways of existence. Emerging technologies of power provide possibilities for the production of running culture in China, and the current policy under the technologies of power meets the needs of runners. In Chinese running culture, power was not oppressive but productive.

There is currently a great deal of attention in psychometric and statistical methods on ensuring measurement invariance when examining measures across time or populations. When measurement invariance is established, changes in scores over time or across groups can be attributed to changes in the construct rather than changes in reaction to or interpretation of the measurement instrument. When measurement in not invariant, it is possible that measured differences are due to the measurement instrument itself and not to the underlying phenomenon of interest. This chapter discusses the importance of establishing measurement invariance specifically in postsecondary settings, where it is anticipated that individuals' perspectives will change over time as a function of their higher education experiences. Using examples from several measures commonly used in higher education research, the concepts and processes underlying tests of measurement invariance are explained and analyses are interpreted using data from a US-based longitudinal study on bioscience PhD students. These measures include sense of belonging over time and across groups, mental well-being over time, and perceived mentorship quality over time. The chapter ends with a discussion about the implications of longitudinal and group measurement invariance as an important conceptual property for moving forward equitable, reproducible, and generalizable quantitative research in higher education. Invariance methods may further be relevant for addressing criticisms about quantitative analyses being biased toward majority populations that have been discussed by critical theorists engaging quantitative research strategies.

Higher education has seen an unprecedented amount of change in recent decades, with technological advancements impacting on the very essence of teaching and learning. As there are an abundance of digital tools available to educators, it can be a challenge to select the most appropriate online platforms to incorporate into the classroom. This chapter discusses the topic of digital storyboarding by providing a case study of how the author adopted the online platform Storyboard That to enhance student engagement and co-creativity within a UK higher education institution. The chapter debates the benefits and challenges of technology-enhanced learning as part of a blended approach, and concludes with advice for educators wishing to adopt digital storyboarding within their own educational context.