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The study analyzed the interactive relationship between energy transformation and economic growth through the Ramsey model. The energy factor was introduced as an independent factor into the Ramsey model and an application improvement design was carried out. From a micro perspective, the impact of energy and economic factors on net output was analyzed. The research results indicate that the estimated coefficients of fossil energy output elasticity, labor output elasticity, capital output elasticity, and renewable energy output elasticity are 0.740602, 0.708407, 0.454672, and 0.304065, respectively. In addition, the significance tests were all below 0.05, indicating significance. Meanwhile, the elasticity of capital output and labor output complement each other; The output elasticity of fossil fuels and renewable energy are also complementary to each other. In a complementary relationship, the downward trend of one element is often accompanied by the upward trend of another element. This study sorts out the interactive relationship between energy transformation and economic growth, pointing out the direction for the future development of China's energy economy.

To integrate the care resources of the elderly, while promoting the development of formal social care resources, some countries have gradually turned to the development of family informal care resources. In China, informal family care has a more important role, whereas social formal care resources are far from meeting the needs of older people. Thus, this strategy can only be effective if there is a clear complementary relationship between informal care and formal care. Empirical analysis is selected from the China Health and Nutrition Survey (CHNS) database, which conducted 10 follow-up surveys in 12 provinces and municipalities in China. A two-tier stochastic frontier (TSFA) model was used to analyze the relationship between three different kinds of formal care and informal family care. The formal complementary and substitute effects on informal care eventually led to higher actual informal care level. The net effect of formal care on informal care is positive, and the complementary effects of formal care are still dominant even in different regions. Increasing informal care does not crowd out or reduce formal care; thereby, facilitating the return of care to families can effectively reduce public service expenditures.

I conducted an online survey with 356 WeChat Official Account users to explore how user donation intention was affected by antecedents related to the charitable and consumptive attributes of their donation. I used structural equation modeling and hierarchical regression analysis to
test the hypotheses, and found that the antecedents of emotional attachment (related to the charitable attribute) and perceived fairness (related to the consumptive attribute) were positively related to user donation intention. In addition, identification and interaction were positively related
to emotional attachment, WeChat Official Account article value and other users' donation behavior were positively related to perceived fairness, and impulse buying tendency strengthened (vs. weakened) the positive relationship between emotional attachment (vs. perceived fairness) and user
donation intention. Theoretical and practical implications are discussed.

Social media greatly enables people to participate in online activities and shatters the barrier for online users to create and share information at any place at any time. However, the explosion of user-generated content poses novel challenges for online users to find relevant information, or, in other words, exacerbates the information overload problem. On the other hand, the quality of user-generated content can vary dramatically from excellence to abuse or spam, resulting in a problem of information credibility. The study and understanding of trust can lead to an effective approach to addressing both information overload and credibility problems. Trust refers to a relationship between a trustor (the subject that trusts a target entity) and a trustee (the entity that is trusted). In the context of social media, trust provides evidence about with whom we can trust to share information and from whom we can accept information without additional verification. With trust, we make the mental shortcut by directly seeking information from trustees or trusted entities, which serves a two-fold purpose: without being overwhelmed by excessive information (i.e., mitigated information overload) and with credible information due to the trust placed on the information provider (i.e., increased information credibility). Therefore, trust is crucial in helping social media users collect relevant and reliable information, and trust in social media is a research topic of increasing importance and of practical significance. This book takes a computational perspective to offer an overview of characteristics and elements of trust and illuminate a wide range of computational tasks of trust. It introduces basic concepts, deliberates challenges and opportunities, reviews state-of-the-art algorithms, and elaborates effective evaluation methods in the trust study. In particular, we illustrate properties and representation models of trust, elucidate trust prediction with representative algorithms, and demonstrate real-world applications where trust is explicitly used. As a new dimension of the trust study, we discuss the concept of distrust and its roles in trust computing

AbstractResearch Question/IssueRelying on enhanced market power and improved information environment associated with institutional cross‐ownership, this paper examines the relation between institutional cross‐ownership and trade credit in China.Research Findings/InsightsListed firms with cross‐ownership can obtain more trade credit. The main conclusion is robust when we consider endogeneity problems, alternative measures of institutional cross‐ownership, and the effect of a financial crisis. Further, we perform several tests to examine the influencing mechanisms, confirming that the positive relation between institutional cross‐ownership and trade credit is more pronounced for listed firms in more competitive industries, or with poorer information environment. Further analysis also finds that the positive effect of institutional cross‐ownership on trade credit is more prominent for listed firms with fewer bank loans.Theoretical/Academic ImplicationsThis paper emphasizes information sharing and cooperation among listed firms with institutional cross‐ownership and argues that the information improvement effect is a relatively more important mechanism in affecting listed firms' decisions.Practitioner/Policy ImplicationsChina's market‐oriented reform is in progress and shows some weaknesses in corporate governance and investor protection. The research focusing on institutional cross‐ownership can provide useful suggestions for policy makers on how to improve corporate governance and construct efficient capital markets.

Following with the social-economy development and the increase of the incidence of various respiratory diseases, countries all over the world are increasingly paying attention to the issue of air pollution. This study uses the tracking data of 31 provincial capitals in China from 2013 to 2020, empirically tests the impact of air pollution on public health based on the ordinary least squares regression, and investigates the reliability of research conclusions with single instrumental variables and double instrumental variables based on the 2-Stage Least Squares and 3-stage Least Squares method. The results showed that air pollution significantly increased the "the number of respiratory diseases deaths per 10,000 people," the effect reached 24.97%; and there were significant differences in the effects due to different pollution levels, along with the cumulation of the number of days with the air pollution index exceeds 300, the deterioration effects of air pollution on public health will reach the highest value as 0.42%. After replacing the indicators of public health and the treating of endogeneity, the above results are still robust. The impact coefficients significantly increased compare to benchmark model, which has increased to 89.66%. The variable coefficients of days with air pollution index exceeding 300 has increased to 6.66%. In the formation mechanism of air pollution, both industrial pollution and domestic pollution play significant roles, their effects reached 14.79% and 39.61%, respectively; they jointly increase the deterioration degree of air pollution and transmit to the impact of air pollution on public health, the interaction effect reached 5.86%. The air pollution has considerable impact on public health, and when the degree of air pollution increases, its impact is enhanced. The main impact mechanism of air pollution is presented as the joint influences of industrial pollution and domestic pollution that transmitting to the public health.

AbstractWith the advancement of online‐ordering technology, an increasing number of service providers are transforming to sell services through online channels alongside traditional offline stores. Our paper studies this emerging business model (also known as omnichannel services) in which customers can choose between online and offline ordering. We develop a queueing‐game‐theoretic model to evaluate the performance of omnichannel systems in terms of throughput and social welfare when customers strategically choose their ordering channels in the presence of service valuation uncertainty. We also contrast omnichannel services with single‐channel services, that is, online‐only and offline‐only services. Our analysis yields the following main insights. First, although customers run the risk of making suboptimal decisions and suffering from unexpected losses when they are uncertain about their service valuations, we find that all customers would be better off in expectation with an increasing level of service valuation uncertainty. Second, while social welfare improves as ordering online becomes more convenient in some cases, it (even online customer welfare) can also be worse off in others, especially when the system operates under heavy congestion, because customers' self‐interested channel choice behavior would impose significant negative congestion externalities among customers. Third, despite the fact that omnichannel services provide customers with an additional, more convenient ordering channel option in comparison with conventional offline‐only services, we find that, somewhat surprisingly, adopting omnichannel services does not necessarily guarantee improvement in social welfare. Finally, we discuss two alternative modeling assumptions to demonstrate the robustness of our main insights.