Jiang Jiang

An Emissions Trading Scheme (ETS) in a carbon market often suffers from asymmetric coverage, potentially driving unregulated firms to increase emissions, a phenomenon known as carbon leakage. Utilizing panel data of Chinese listed firms from 2010 to 2020, this study employs a Difference-in-Differences (DID) method to evaluate the inter-firm carbon leakage effects induced by China’s ETS policy. The results indicate that the ETS policy significantly increases the carbon emissions of unregulated firms within pilot regions, confirming the existence of inter-firm carbon leakage. Mechanism analysis reveals that the policy triggers leakage by inhibiting innovation capacity and suppressing market valuations of these unregulated entities. Heterogeneity tests show that the leakage effect is more pronounced among non-state-owned, large-scale, and highly digitalized firms in the Decline stage. Furthermore, spatial analysis suggests that this leakage is geographically localized, primarily occurring between firms in proximity. These findings provide critical insights for optimizing carbon market design and mitigating leakage risks in emerging economies. The findings offer new empirical evidence for comprehensively evaluating the micro-level policy effects of the ETS, with important implications for global carbon-reduction efforts.

Purpose: Brands’ self-built live streaming has gained popularity among small- and medium-sized enterprises by eliminating intermediaries and establishing direct brand-consumer connections. However, limited research has addressed how brands can design self-directed livestreams to enhance customer brand engagement, highlighting an urgent need for deeper exploration to support the sustainable growth of these enterprises in the digital age. Design/methodology/approach: This study examines the impact of social and technical features of brands' self-built live streaming on customer brand engagement, grounded in socio-technical systems theory. Based on 624 valid online survey responses, the analysis integrates partial least squares structural equation modeling with fuzzy-set qualitative comparative analysis. Findings: These findings reveal that interaction, identification, synchronicity and vicarious expression of live streaming significantly enhance customer brand engagement by increasing perceived enjoyment and perceived control. Multiple configurations of these features contribute to high engagement, with interaction and identification playing central roles. Originality/value: This study advances the understanding of customer engagement mechanisms in brands’ self-built live streaming and offers actionable insights for campaign design. This research offers theoretical contributions and practical guidance for resource-limited small and medium-sized brands to improve their livestreaming strategies in the evolving digital marketplace.

Purpose: Trust plays a crucial role in overcoming uncertainty and reducing risks. Uncovering the trust mechanism in the sharing economy may enable sharing platforms to design more effective marketing strategies. However, existing studies have inconsistent conclusions on the trust mechanism in the sharing economy. Therefore, this study aims to investigate the antecedents and consequences of different dimensions of trust (trust in platform and trust in peers) in the sharing economy.Design/methodology/approach: First, we conducted a meta-analysis of 57 related articles. We tested 13 antecedents of trust in platform (e.g. economic benefits, enjoyment, and information quality) and eight antecedents of trust in peers (e.g. offline service quality and providers’ reputation), as well as their consequences. Then, we conducted subgroup analyses to test the moderating effects of economic development level (Developed vs Developing), gender (Female-dominant vs Male-dominant), platform type (Accommodation vs Transportation), role type (Obtainers vs Providers), and uncertainty avoidance (Strong vs Weak).Findings: The results confirm that all antecedents and consequences significantly affect trust in platform or peers to varying degrees. Moreover, trust in platform greatly enhances trust in peers. Besides, the results of the moderating effect analyses demonstrate the variability of antecedents and consequences of trust under different subgroups.Originality/value: This paper provides a clear and holistic view of the trust mechanism in the sharing economy from an object-based trust perspective. The findings may offer insights into trust-building in the sharing economy.

In the rapidly changing business world, insurance companies should observe long-term operational performance and focus on its resilience. Existing studies rarely investigate the resilience issue of performance under the context of the insurance sector. Hence, this study develops a dynamic data envelopment analysis (DEA) model to measure the operational performance of insurance companies by considering multiple periods. Different from the existing works adopting traditional static DEA, our work develops a dynamic DEA model to estimate performance by incorporating multiple periods via a common objective function. Besides, the measurement for estimating the resilience of performance is further developed. The proposed approach in this study is applied to 25 Chinese insurance companies for three years from 2017 to 2019. The results reveal that most insurance companies’ performances still have improvement potential. And there exists a distinct difference in performance between property and casualty insurance companies and life insurance companies during the observed period. Additionally, the resilience of the performance of most inefficient insurance companies is at a weak level. Finally, some management implications are provided for improving operational performance.

This paper investigates the effects of the financial subsidy and product access policies on the performance of green supply chains (GSCs). Based on the game theory and preference theory, we study a green supply chain consisting of a risk-neutral manufacturer and a risk-averse retailer under government interventions from different power structures. The result reveals that green production can be effectively promoted only when product access exceeds a certain threshold. The Nash equilibrium game has the highest greenness and expected utility of GSC. It also shows that regardless of the market structure and government intervention policy, the retailer’s risk aversion is positively correlated with the highest level of product access. Moreover, once effective product access is implemented, the retailer’s risk aversion does not affect the optimal greenness of manufacturer production. Besides, compared with other intervention policies, the highest optimal product greenness exists in the scenario of financial subsidy with effective product access. The study suggests that the government needs to set certain green standards when implementing subsidy policies and promoting the risk aversion of retailers.

Purpose: Model's physical attractiveness plays an important role in online shopping. The purpose of this paper is to explore the relationships among model type, consumer's perceived amount of information and consumer's approach behaviour.Design/methodology/approach: Construal level theory and anchoring effect are used to develop hypotheses. The authors conducted an online experiment in China, and 229 females participated in this experiment.Findings: Compared with the professional model, the nonprofessional model triggers consumers' more perceived amount of information and approach behaviour. The latter effect is significantly enhanced in the website retailing context. Moreover, perceived amount of information positively affects approach behaviour.Practical implications: The findings can help fashion brands understand the roles of model type and the online retailing context in consumer behaviour. It offers guidance on how to improve its marketing strategy scientifically. It can also provide consumers with suggestions for making objective purchasing decisions.Originality/value: This study is one of the first to examine the effects of two model types (professional model or nonprofessional model) on consumers' perceived amount of information and approach behaviour within two online retailing contexts (website stores or webcast studio).

The sharing economy has evolved into a promising business concept that enables individuals to share their idle resources, improving resource utilization efficiency commercially. Recently, it has gained enormous academic attention. However, little concern has been given to the behavior of individual providers on the supply side. This paper aims to uncover the motivational and trust-based providers’ continuance intention of participation in the context of peer-to-peer ride-sharing services. Based on the survey data from 202 providers and the partial least-square analysis, we confirm the mediating effect of attitude in the relationships between participation continuance intention; trust; and three motivational dimensions: economic benefits, social–hedonic value, and sustainability. We further confirm the moderating effects of innovativeness using PROCESS. The results show that economic benefits, social–hedonic value, and sustainability significantly affect providers’ participation continuance intention. Moreover, attitudes toward the sharing economy play a complementary partial-mediating role in the relationships from economic benefits and social–hedonic value to participation continuance intention, which is negatively moderated by innovativeness. Trust does not significantly affect providers’ attitude toward the sharing economy and participation continuance intention in the peer-to-peer ride-sharing context.