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The purpose of this paper is to investigate the role of cross-listing in overcoming liability of origin (LOO) facing emerging economy corporations (EECs).

This paper takes Chinese firms' cross-listing in Hong Kong and the firms' establishment of international joint ventures (IJVs) with foreign partners as the research setting. This is an empirical study using Heckman's self-selection model as the primary econometric technique and two-stage least square (2SLS) regressions as the supplementary estimation procedure.

Cross-listing in developed economies can serve as a signal for EECs to overcome the LOO. In addition, the regional institutional voids of emerging economies (EEs) and state ownership are prominent boundary conditions shaping this effect.

Only Chinese firms and the firms' cross-listing in Hong Kong are considered for the empirical context as a result of data availability.

This paper provides a practical solution for EECs whose internationalisation tends to be hindered by the LOO.

This study is of high importance in that it centres on a distinctive and challenging problem faced with EECs—the LOO. Besides, it ascribes this liability to a matter of information asymmetries and explores how cross-listing can serve as a signal to cope with this challenge.

The use of energy efficient cookstoves (EECS) has been promoted for a long and considered as instrumental in the efforts to mitigate the multiple social, economic and environmental consequences of traditional biomass cookstoves. Despite this, the adoption of EECS in pre-urban and rural Ethiopia is still very low. In response to this, the government of Ethiopia, in collaboration with international development organizations, implemented numerous initiatives aimed at improving the availability and use of EECS as part of the effort to support sustainable development. However, very little is known about the impact of the introduced EECS on improving the welfare of women. The purpose of this study is, therefore, to assess the impact of improved cookstoves projects on the welfare of women in Yaya Gullele district, Ethiopia.

A mixed research design was adopted to conduct the study. The quantitative data for the study were collected using a structured questionnaire by interviewing 388 randomly selected respondents. The data were analysed using both descriptive and inferential data analysis techniques, including the propensity score matching model using STATA.

Results of the study revealed that adoption of EECS has reduced fuel wood expense (124.65 Ethiopian Birr [ETB]/week), reduced five-year stove expense (404.67 ETB) and increased regular savings (116.58 ETB/month), which contributed for an increased annual income of participants (5,594.42 ETB). The result of the study also indicated that the use of EECS enabled the beneficiary women to reduce the amount of fuel wood use by 29.4 kg/week, which in turn reduced forest degradation and emission by 2.34 tons of CO₂e/year/household. Besides, it reduced the drudgery on women in terms of reduced time to cook (53 min/day), reduced time to collect fuelwood and prepare food (3.95 h/week) and reduced frequency of fuelwood collection trips (3.42 trips/week). The study results, in general, indicated that the adoption of EECS improved the welfare of women in the study area, where the majority of women have been suffering from the burden of using traditional stoves and associated impacts for a long.

Energy is central to most of the development-related challenges and opportunities every country faces today. The result of the study implied that policies and strategies intended at improving the availability and use of EECS as part of the effort to support sustainable development need to consider integrating such context-referenced, locally manageable and affordable EECS into the clean developmental strategies of the country.

Insights from this study can support development practitioners and policymakers to make informed decisions regarding future interventions in the use of energy efficient that have the potential to several economic, social and environmental positive development outcomes.

Drawing on affective events theory (AET), this study aims to examine how green human resource management (GHRM) practices influence employees' environmental commitment (EEC) and organizational citizenship behavior for the environment (OCBE) through the mediating role of harmonious environmental passion (HEP).

Time-lagged and multisource data were collected from employee–coworker dyads (n = 231) working in manufacturing companies. The data were analyzed using the partial least squares (PLS) structural equation modeling (SEM) technique.

Results revealed that GHRM practices predicted both EEC and OCBE significantly. Further, HEP partially mediated the relationship of GHRM practices with EEC and OCBE.

This study provides new insights towards the unattended affective processes that underlie the link between GHRM practices and green employee outcomes through a coherent theoretical lens of AET. It spotlights that implementing GHRM practices as a strategic choice helps evoke HEP among employees, which is an essential determinant of employees' eco-friendly attitude and behavior.

Drawing upon information processing theory (IPT) and natural resource-based view (NRBV), this study analyses the role of social media technologies (SMT) on internal and external environmental collaboration and green innovation (green product, process and managerial innovation).

This study took in-depth empirical research by developing a survey questionnaire to identify the relationship between SMTs, environmental collaboration and green innovation. The respondents of the questionnaire were supply chain professionals working in the manufacturing industry of Pakistan. The survey collected 475 responses, which were tested through PLS-SEM using Smart-PLS.

The study results indicate that SMTs positively influence both internal and external environmental collaboration. Furthermore, internal environmental collaboration (IEC) fosters green products and green managerial innovation. In contrast, external environmental collaboration (EEC) fosters green processes and green managerial innovation. This study has also tested the mediation of IEC and EEC, which shows that both IEC and EEC mediate all the relationships except green process and green product innovation. The results also revealed that innovation capabilities moderate the relationship between environmental collaboration and green innovation.

Though this study has various practical implications, it is not free of limitations. First, the data were collected from Pakistan, and the results may only be compared with other developing countries. Second, few social media platforms have been considered, but they are increasing in numbers and could be used in upcoming studies. Third, green innovation in the context of products, processes and management is considered, but the concept is evolving, and its other indicators can be taken in upcoming studies.

This study addresses the implication of SMTs, environmental collaboration, innovation capabilities and green innovation, which are helpful for managers and policymakers to design policies.

This study provides the seminal operationalization of SMTs in environmental collaboration and green innovation. This study emphasizes innovation capabilities that firms should adopt.

Modern subway transportation systems need to satisfy increasing safety demands to rapidly evacuate passengers under hazardous emergency circumstances, such as fires, accidents or terrorist attacks, to reduce passenger injuries or life losses. The emergency evacuation capacity (EEC) of a subway station needs to be revised timely, in case passenger demand increases or the evacuation route changes in the future. However, traditional ways of estimating EEC, e.g. fire drills are time- and resource-consuming and are difficult to revise from time to time. The purpose of this study is to establish an intuitive modelling approach to increase the EEC of subway stations in a stepwised manner.

This study develops an approach to combine agent-based evacuation modelling and building information modelling (BIM) technology to estimate the total evacuation time of a subway station.

Evacuation time can be saved (33% in the studied case) from iterative improvements including stopping escalators running against the evacuation flow and modifying the geometry around escalator exits. Such iterative improvements rely on integrating agent-based modelling and BIM.

The agent-based model can provide a more realistic simulation of intelligent individual movements under emergency circumstances and provides precise feedback on locations of evacuation bottlenecks. This study also examined the effectiveness of two rounds of stepwise improvements in terms of operation or design to increase the EEC of the station.

In this study a survey with a questionnaire was used to track the learning situation and core competencies of students in electrical engineering and computer science at the University of Science and Technology. A determination of areas that need to be strengthened is used as a reference in the cultivation of core competency in higher education.

A total of 320 junior students in electrical engineering and computer science were surveyed and given questionnaires. A total of 219 valid questionnaires were collected for a paired sample t-test, to find and compare changes in core competencies of the group over a period of three years.

Higher education institutions are presently more inclined to competency-oriented education, training and learning. This establishes good relevant practices, enhances core competencies in students and improves their chances of satisfactory future employment. In this study it was found that the general core competencies of students were better than their professional core competencies, and the self-reported core competencies of freshman students were better than those of the junior students. The results showed that core competencies did not grow with the years. This result is most likely due to a gain of knowledge which makes them more able to understand their own shortcomings.

Most studies investigating the core competencies of higher education students are cross-sectional studies. This study follows students over a period of three years and provides the results of a longitudinal survey of a group of students' core competencies.

This case invites students to assess the impact that Brexit, the withdrawal of the United Kingdom from the European Union, might have on a New York–based hedge fund's portfolio and, specifically, its UK assets. The case is designed to prompt students to make market assumptions and investment hypotheses based on a combination of numerical data and qualitative information. It requires no numerical computations; instead, it asks the student to interpret both markets' short-term reactions to the Brexit vote and strategy shifts from UK and European business leaders in order to evaluate longer-term implications for the economies of the United Kingdom, Europe, and the world.

This study aims to explore the synergistic effect of oxide nanoparticles (ZnO, Fe₂O₃, SiO₂) and cerium nitrate inhibitor on anti-corrosion performance of epoxy coating. First, cerium nitrate inhibitors are absorbed on the surface of various oxide nanoparticles. Thereafter, epoxy nanocomposite coatings have been fabricated on carbon steel substrate using these oxide@Ce nanoparticles as both nano-fillers and nano-inhibitors.

To evaluate the impact of oxides@Ce nanoparticles on mechanical properties of epoxy coating, the abrasion resistance and impact resistance of epoxy coatings have been examined. To study the impact of oxides@Ce nanoparticles on anti-corrosion performance of epoxy coating for steel, the electrochemical impedance spectroscopy has been carried out in 3% NaCl solution.

ZnO@Ce3+ and SiO2@Ce3+ nanoparticles provide more enhancement in the epoxy pore network than modification of the epoxy/steel interface. Whereas, Fe2O3@Ce3+ nanoparticles have more to do with modification of the epoxy/steel interface than to change the epoxy pore network.

Incorporation of both oxide nanoparticles and inorganic inhibitor into the epoxy resin is a promising approach for enhancing the anti-corrosion performance of carbon steel.

This paper aims to propose a semianalytical model of a squirrel-cage induction machine (SCIM), considering local magnetic saturation and eddy-currents induced in the rotor bars.

The regions of the rotor and stator are divided into elementary subdomains (E-SDs) characterized by general solutions at the first harmonic of the magneto-harmonic Maxwell’s equations. These E-SDs are connected in both directions (i.e., along the r- and θ-edges).

The calculation of the magnetic field has been validated for various values of slip and iron permeability. All electromagnetic quantities were compared with those obtained using a two-dimensional finite-element method. The semianalytical results are satisfactory compared with the numerical results, considering both the amplitude and waveform.

Expansion of the recent analytical model (E-SD technique) for the full prediction of the magnetic field in SCIMs, considering the local saturation effect and the eddy-currents induced in the rotor bars.

The purpose of this study is to reveal the effect of nano-Al₂O₃ particle addition on the nucleation/growth kinetics, microhardness, wear resistance and corrosion resistance of Co–P–xAl₂O₃ nanocomposite plating.

The kinetics and properties of Co–P–xAl₂O₃ nanocomposite plating prepared by electroplating were investigated by electrochemical measurements, scanning electron microscopy, X-ray diffraction, X-ray photoelectron spectroscopy, Vickers microhardness measurement, SRV5 friction and wear tester and atomic force microscopy.

A 12 g/L nano-Al₂O₃ addition in the plating solution can transform the nucleation/growth kinetics of the plating from the 3D progressive model to the 3D instantaneous model. The microhardness of the plating increased with the increase of nano-Al₂O₃ content in plating. The wear resistance of the plating did not adhere strictly to Archard’s law. An even and denser corrosion product film was generated due to the finer grains, with a high corrosion resistance.

The effect of different nano-Al₂O₃ addition on the nucleation/growth kinetics and properties of Co–P–xAl₂O₃ nanocomposite plating was investigated, and an anticorrosion mechanism of Co–P–xAl₂O₃ nanocomposite plating was proposed.