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The efficiency of the emission trading system (ETS) may help to control the total emission amount. The purpose of this paper is to investigate the generating cost issue in environmental/economic power dispatch, under the premise that the ETS has already been established.

The emission benefit and price level factors are introduced for transforming the bi‐objective optimization problem with the fuel cost and emission cost minimization into a single objective. In the developed mathematical model, both the total emission amount from all units and the permitted emission amount from each generating unit are taken into account. The successive linear programming method is employed to solve the optimization problem.

Simulation results of the IEEE 30‐bus test system show that a proper trading mechanism of emission permits is very important for generation companies to control the total emission amount and to reduce the overall generation cost.

Further research is needed to find out the impact on the generating cost caused by trading price fluctuation and the coping strategies.

The results can help to meet the requirements of current generating optimal dispatch.

This paper aims to explore the factors that affect housing prices as per Chinese articles indexed in the Chinese Science Citation Database (CSCD). There were different foci regarding what drove housing prices in China in Chinese articles, and international journal articles in English. As most previous English articles only threw light on international research, it motivated the researchers to systematically review Chinese literature’s factors that affected housing prices in China.

This paper reviewed housing price research articles indexed in the two largest Chinese academic research databases: the CSCD and China Knowledge Infrastructure Engineering Database (CNKI.NET). It systematically collected the data and adopted descriptive analysis techniques and synthesis.

This research reviewed the literature published from 2015 to 2020 and revealed some unique factors affecting China's housing prices. For example, research focused on administrative aspects such as macroeconomic regulation and control (often known as macro control). Authors of Chinese articles suggested that the two-child policy affected housing prices, which differed from that in the English journal articles. The research results implied that researchers should read top Chinese journals on top of good international journals when they study China's real estate market in the future.

Because the domestic real estate market started late, domestic real estate transaction data and real estate-related statistics are more difficult to obtain. The research is mostly based on the relationship between supply and demand, government policy and individual consumer factors, and the sample has a short time span.

As China is a planned economy country, administrative factors are one main factor that affects the housing price. There were a significant number of articles in Chinese that considered this factor to be the main driver of the real estate price. It included government investment and macro-control, i.e. direct government intervention to cool down the overheated economy. Yet, there are few English articles that threw light on this factor including the commodity housing supply and government behaviour that affect housing price. The second-child policy, which is unique in China, also played an important role in the determination of the housing price. In the articles indexed in CNKI, the second-child rate, willingness to have a second child or having a second child were mentioned in the Chinese articles but not the English ones.

In this paper, the economic, social, administrative and environmental factors were summarised, which basically covered all the factors affecting housing prices. The administrative factors were a special group of factors that affect the housing price because of the country's planned economic system. Secondly, it provided useful information to real estate development enterprises in China. To make a correct investment and management decision, real estate development enterprises must understand the actual situation and possible problems of the industry. In this study, we analysed the research literature on the real estate industry in China for the period from 2015 to 2020 one by one and determined the influencing factors of the housing price, which provided references for effective cost control. Thirdly, it allows the public to understand and grasp the real estate industry. As the housing price has been continuously increasing, the public pays increasing attention to the real estate industry. Through the literature analysis of the impact of real estate prices, this paper revealed the elements of house price expenses, which makes it convenient for ordinary people to understand the real estate industry.

This study allows foreigners who do not know Chinese to know more about factors that drove housing prices from the Chinese perspective. It also provides insights to overseas developers who wish to enter the property market in China. The results can be generalised to other non-English-speaking real estate research.

E-commerce live streaming is a new influencer advertising method that allows influencers to interact directly with consumers on e-commerce platforms. Although evidence suggests that influencer live-streaming advertisements (ads) on social media can increase consumers’ buying impulses, little research examined how this similar but new advertising method on e-commerce platforms may influence consumers’ urge to buy impulsively. This study explores the role of influencer credibility, celebrity effect, perceived entertainment, trust and perceived usefulness on consumers’ attitudes toward influencer ads and their urge to buy impulsively.

A questionnaire containing seven constructs was developed and distributed to participants using a convenient sample and snowball sampling approach. The constructs were measured based on validated measurement items from the literature and adjusted according to this study’s focus. A total of 236 valid responses were obtained from the survey and used for data analysis. A partial least squares structural equation modeling approach was employed for parameter estimation and model testing.

The empirical results show that all constructs influenced consumers’ urge to buy impulsively via attitude toward influencer ads. The proposed research model explains 61.7% of the variance in attitude toward influencer ads and 19.4% of the urge to buy impulsively.

This is an early study investigating the relationship between influencer advertising and impulse buying. The results provide valuable insights into improving the design of influencer ads and marketing strategies.

1. I-eIB model tests the mechanism of influencer ads on consumers’ buying impulse.

2. Consumers’ attitude towards influencer ads affects their urge to buy impulsively.

3. Influencer credibility affects consumer attitude via celebrity effect as a mediator.

4. Trust affects consumer attitude via perceived usefulness as a mediator.

5. Entertaining ads help develop favorable consumer attitude.

I-eIB model tests the mechanism of influencer ads on consumers’ buying impulse.

Consumers’ attitude towards influencer ads affects their urge to buy impulsively.

Influencer credibility affects consumer attitude via celebrity effect as a mediator.

Trust affects consumer attitude via perceived usefulness as a mediator.

Entertaining ads help develop favorable consumer attitude.

This study examines factors influencing viewers' impulse buying intention in live streaming. The authors draw upon the value theory to theorize how the product (i.e., local presence) and para-social interaction (PSI) in live-streaming shopping improve customers' shopping values and how these values subsequently influence their urge to buy impulsively. In addition, the authors examine value differences in live-streaming shopping through gender differences and previous shopping experiences.

An online survey was conducted in this study. Members with browsing or shopping experience of live-streaming shopping sites were invited. The structural equation model was used to conduct confirmative factor analysis (CFA) to assess the convergent validity (item loadings), internal consistency (reliability), discriminant validity, causality hypotheses, and mediating effects.

Utilitarian value appears more important than hedonic value in influencing consumers' urge to buy impulsively. Moreover, PSI with the co-viewers is more influential than PSI with the streamer on utilitarian and hedonic values. Finally, gender differences and prior live-streaming shopping experience moderate the relationship between shopping values and the urge to buy impulsively.

The authors extend the concept of PSI from a celebrity (the streamer) to co-viewers and find that PSI with co-viewers is crucial to impulse buying in live streaming. Additionally, the authors’ finding reveals that consumers with individual differences may react differently to the same set of perceived values in determining the level of their impulse shopping intention.

Nowadays, an increasing number of firms choose to develop proprietary software, instead of buying packaged software. What factors will affect different types of software investments? According to the environment-strategy alignment research, environment should be an influential factor. However, environment's role has received scarce attention in the literature. The authors' study addresses this research gap by investigating how industry environment affects different types of software investments. The study identifies three types of software investments (software insourcing, outsourcing, and buying) and examines how the characteristics of the industry environment (including industry munificence, dynamism, and concentration) influence each software investment.

The generalized least squares (GLS) model and the ordinary least squares with panel-corrected standard errors (OLS-PCSE) model are applied to test the hypotheses, based on industry-level panel data from the US Bureau of Economic Analysis (BEA).

The analysis shows that industry munificence, dynamism, and concentration have different impacts on software insourcing, outsourcing, and buying, respectively.

This study classifies software investment into three types – software insourcing, outsourcing, and buying and investigates how the industry environment affects them. The findings suggest that research should distinguish among software insourcing, outsourcing, and buying due to their different characteristics.

The purpose of this paper is to investigate masculinity in Chinese social media marketing for global luxury fashion brands through two studies.

Study 1 compares physical characteristics of males in visually oriented US (Instagram) and Chinese (Weibo) social media posts promoting global luxury fashion magazine brands (e.g. Vogue, Cosmopolitan, GQ and Esquire). Study 2 examines the prevalence of and Chinese consumers’ responses (reposts, comments and likes) to different masculinities depicted in luxury fashion brand-sponsored Weibo posts.

Male portrayals for Chinese audiences feature more characteristics associated with emerging East Asian hybrid masculinities – “Little Fresh Meat” (LFM) and “Old Grilled Meat” (OGM) – than associated with global or regional hegemonic masculinity (i.e. the scholarly Wén and action-oriented Wu). Wén remains common in social media posts for luxury fashion goods, but LFM and OGM engender more consumer responses.

Chinese luxury fashion marketing depicts masculinity more similarly to other East Asian marketing than to Western marketing. Some luxury fashion brands are struggling for acceptance among Chinese youth. Luxury fashion marketers should incorporate hybrid rather than hegemonic masculinities to prompt more favorable responses among Chinese consumers, especially younger female target markets.

Growing female occupational and consumer power and shifting male employment from blue-collar to white-collar jobs have influenced media portrayals of masculinity. Social media marketing for luxury fashion brands demonstrates the prevalence and appeal of hybrid masculinities in China.

Buying online has become a widespread and common activity for consumers, and, for many organizations, e-commerce has become a very profitable alternative to sell their products and services, also allowing them to leverage their strategy in new geographical markets immediately. Although the literature on the subject is comprehensive, there is a gap in identifying the holistic constructs that are the determinants of consumers' choice of an online store. This research resorts to an exploratory study, based on a nonsystematic literature review, seeking to identify these constructs. The results obtained allowed us to identify the following constructs: consumer behavior, customer experience, web content, catalog, terms and conditions, customer support, perceived value, trust, security and privacy, satisfaction, and loyalty. Customer experience, satisfaction, and loyalty constructs stand out from a strategic perspective.

The purpose of this paper is to identify whether altruistic motivation is a significant factor in online group buying and to examine the effects of altruistic and egotistic motivation on online group buying intention through the psychological processes of trust and satisfaction.

A field study on Ihergo (www.ihergo.com/) was chosen because it is the largest online group buying marketplace in Taiwan. An online survey method was used to collect data. Returned questionnaires numbered 302 responses with 20 incomplete data, resulting in 282 valid responses for data analysis. Collected data were analyzed using structural equation modeling.

The findings of the study shows that altruism is relevant to online group buying, and trust and satisfaction have significantly positive effects on online group buying intention. The results emphasize that altruism, reciprocity, and reputation of motivations are significantly positive predictors of trust. Altruism and reciprocity have significantly positive effects on satisfaction, whereas reputation does not.

Altruism, reciprocity, and reputation represent three key elements of online group buying behavior. Integration of the altruism, reciprocity, and reputation results in a better explanation on online group buying intention through the psychological process, trust, and satisfaction. This study extends the value of online group buying and sheds light on the potential effects of altruistic and egotistic motivation on online group buying intention.

Online group buying is more complex than individual online shopping and is not easy to fulfill customer requirements. To satisfy online group buying, e-vendors might provide altruistic activities, enhance reciprocal services and products, develop better reputation mechanisms, and present an easier approach to encourage online group buying on the web site.

To the best of the knowledge, this is first paper to examine the effects of altruism on online group buying. The contribution of this study draws attention to the altruistic value of electronic commerce, by theorizing and validating the effects of altruistic and egotistic motivation on online group buying intention through psychological processes (trust and satisfaction).

This study aims to explore the determinants of the green purchase behaviour (GPB) of environment-friendly and energy-efficient electronic products market. It specifically examines the moderating effect of consumers’ moral identity on the relationships between the consumption values and GPB of environment-friendly and energy-efficient electronic products market. It also examines the direct relationship between consumption values and GPB.

In this study, the theory of consumption values is combined with the moral identity of consumers. A structured questionnaire mall-intercept survey was used to collect data from 396 respondents, which was subsequently processed using the smart PLS software for partial least square structural equation modelling analysis.

Findings reveal that functional value, social value, conditional value and epistemic value are the significant predictors of GPB of the environment-friendly and energy-efficient electronic products market. The moral identity of consumers also appears to positively moderate the relationships between functional, emotional and conditional values and the GPB.

The energy efficiency of electronic products is included in this study as an additional feature of functional value, while government support and business promotional initiatives are incorporated as the new elements of conditional value. Therefore, the inclusion and evaluation of the moral identity of consumers, alongside new elements of functional and conditional values in the theory of consumption values, could be considered a significant theoretical addition. The study uncovered certain customer insights that could help accelerate the adoption of green electronic products, which may result in better energy savings, reduced carbon emissions and environmental safety.

It is known that a conflict exists between consumers’ materialistic and green values. Previous research has focused on values conflict consequences. Antecedents of consumers’ materialistic and green values conflict remain understudied. This study aims to explore the antecedents of consumers’ materialistic and green values conflict.

An exploratory type research design was applied. Overall 22 interviews were conducted with consumers that had materialistic and green values conflict. The transcripts of the interviews were analyzed using content analysis with Maxqda software.

The findings demonstrate consumers' negative attitudes towards consumption, understood as consumerism. Results indicate that value conflict is related to unpleasant emotions such as guilt, anxiety, helplessness and remorse. Guilt is the most prominent emotion associated with the conflict of values. The study identifies dissonant information, environmental knowledge, social norms, impulsive buying and mindfulness as antecedents of materialistic and green values conflict.

The novelty of the study is the antecedents of the materialistic and green values conflict. This study makes a valuable contribution to the academic discourse on sustainable consumption, consumer materialism and green values by providing a deeper understanding of the values conflict experienced by consumers who hold materialistic and green values. The main significance of this study is that it provides valuable insights from qualitative research into the antecedents of the conflict between consumers' materialistic and green values.