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The purpose of this paper is to identify most favorable (or quasi-preferred) industry characteristics of remanufacturing industry and most favorable (or quasi-preferred) industry factors which have an effect on these characteristics so as to improve these factors.

Grey system theory has prominent advantage of using few data and uncertainty information to analyze many factors. Therefore, it is more suited for system analysis than traditional statistical analysis methods like regression analysis, variance analysis and principal component analysis, which require massive data, certain probability distribution in the data and few variant factors. So in this paper, grey incidence analysis method, which is an important part of grey system theory, is used to identify industry characteristics and key industry factor of remanufacturing industry in China and then put forward appropriate industrial policies and countermeasures to improve these industry factors.

According to the results of this study, it reveals that there are no most favorable industry characteristics and no most favorable industry factors in remanufacturing industry of China. “Annual sale of remanufacturing industry” is identified as quasi-preferred industry characteristic, and “total number of employees with master degree or above in remanufacturing enterprise” is identified as the quasi-preferred industry factor. “Total building area of remanufacturing enterprise” is referred as the most unfavorable industry factors.

Judging from the findings of this study, four practical implications are summarized as follows: “annual sale of remanufacturing industry” should be given great importance because it is a quasi-preferred industry characteristic. “Total number of employees with master degree or above in remanufacturing enterprise” and “total number of research institution and university participated in remanufacturing” should be further strengthened by establishing an industry-university-research institute collaboration network, due to the fact that they are the top two quasi-preferred industry factors. “Total investment of remanufacturing industry” and “total annual R&D expenditures” have not played their due role in improving remanufacturing industry, so they should be moderately controlled so as to reduce waste of investment. “Total building area of remanufacturing enterprise” must be strictly controlled because of its little impact on remanufacturing industry.

In this research, grey incidence analysis is applied to identify key industry factors of remanufacturing industry for the first time. It helps in finding industry factors which are in urgent need of improvement and assists in making appropriate industrial policies and countermeasures to improve them by studying relationships between industry characteristic and industry factors.

The purpose of this study is to investigate the effects of capital market liberalization on audit reporting and pricing. The authors use the announcement of the Shanghai-Hong Kong Stock Connect program in China as a shock to capital market liberalization.

The authors use the difference-in-differences method to study the difference in changes in the frequency of modified audit opinions and audit fees between the treatment group and the control group.

This study finds that capital market liberalization increases reputational and litigation risks for auditors and leads to more conservative audit reports. In addition, capital market liberalization stimulates the management of eligible firms to improve the information environment, helps to reduce information asymmetry and decreases audit fees. Specifically, the authors identify the channels of active foreign institutional investors as a new governance mechanism through which capital market liberalization impacts eligible firm and auditor decisions.

This study complements the literature by showing that capital market liberalization may bring a new and strong governance mechanism for eligible firms and auditors.

This study may provide new references for active foreign institutional shareholders as a new and strong governance mechanism in weak institutional regimes such as China, auditors’ optimization decisions when litigation risks increase and management’s improvements in the information environment under the monitoring of foreign institutional shareholders.

Overall, this study contributes to the literature by showing that capital market liberalization can bring a new governance mechanism for the management of eligible firms and auditors in a weak institutional environment. Foreign institutional shareholders may be superior to the domestic market forces and other corporate governance in the role of monitoring the management of eligible firms and auditors.

Given that Chinese brands and products are widespread in the global market, this paper aims to examine the effect of Chinese brand origin salience (vs not) on brand evaluations by increasing global identity perceptions, and figuring out the moderating role of uncertainty avoidance.

Three experiments were conducted in different product categories to test the effect of Chinese brand origin salience. Study 1 and Study 2 collected data from different countries (i.e. Japan and the USA) with varying levels of uncertainty avoidance. In Study 3, the data were collected from the single-country sample, including participants from cultural backgrounds with high (Asian Americans) and low (Caucasian Americans) uncertainty avoidance.

Chinese brand origin salience positively influences brand evaluations via increased global identity perceptions. In addition, uncertainty avoidance plays a moderating role in the process. Specifically, the favorable effect of Chinese brand origin salience on brand evaluations will be attenuated among consumers with high (vs low) uncertainty avoidance.

This paper demonstrates that Chinese brand origin salience can enhance brand evaluations beyond prior work focusing on the negative stereotypes of Chinese brands and their imitation of Western brands. Importantly, Chinese brands have become an important part of the global community as Chinese brand origin salience can evoke consumers’ global identity.

To address challenges such as inadequate funding and inefficiency in public infrastructure construction, PPPs have gained significant global traction. This study aims to comprehensively assess the impacts and mechanisms of PPPs on the SDI and to provide rational policy recommendations based on the findings.

We collated a dataset from 30 Chinese provinces covering the years 2005–2020 as our research sample. The study’s hypotheses are tested using a double fixed-effects model, a chained mediated-effects model and a multidimensional heterogeneity analysis.

Our findings indicate that PPPs have a facilitating effect on SDI in general. This boost usually lags behind policy implementation and is cyclical in the time dimension. In the spatial dimension, PPPs contribute significantly to SDI in the eastern and western regions, but not in the central region. From the perspective of the dynamics of economic, social and industrial development, PPPs in economically backward areas are difficult to promote SDI, promote it the most in economically medium regions and are slightly less in economically developed regions than in medium regions. This promotion effect has an inverted U-shaped relationship with social development and diminishes with industrial structure upgrading. Finally, due to the negative relationship between PPPs and social development and between social development and SDI, PPPs are shown to contribute to SDI and are identified as critical paths. However, PPPs suppress SDI by inhibiting economic and industrial development.

This study makes three novel contributions to the existing body of knowledge: (1) we innovatively introduce the United Nations Sustainable Development Goals (SDGs) into the field of infrastructure research, offering fresh perspectives on SDI enhancement; (2) revealing the mechanisms by which PPPs affect SDI through the three dimensions of economic, social and industrial development enabling policymakers to better understand and optimize resource allocation and improve planning, design and management of PPP projects for sustainable infrastructure and (3) we assess the spatiotemporal variances of PPPs’ effects on SDI and the diversity across regions at different social, economic and industrial structures developmental stages, offering critical insights to global decision-makers to devise tailored policy measures.

Ambidexterity has become essential for organisations to remain competitive. Thus, the purpose of this study is to investigate the causal relationships among information technology resources, absorptive capacity and individual ambidexterity. Further, this study examines the moderating role of social interaction in the absorptive capacity–individual ambidexterity relationship.

A quantitative approach was used in this study through analysis of survey data from 475 employees in the Iraqi telecommunications sector. Structural equation modelling with AMOS was used to test the proposed hypotheses.

This study noted a positive relationship among information technology resources, absorptive capacity and individual ambidexterity. The results of this study also showed that individuals with a higher degree of social interaction were more likely to strengthen the association between absorptive capacity and individual ambidexterity.

The results indicate that managers should pay attention to the important relationship between IT resources, absorptive capacity and individual ambidexterity in the Iraqi telecommunications firms. It is also suggested to design strategies to promote social interaction among their employees and facilitate cooperation and information transfer.

This study shows that information technology has influence on absorptive capacity and individual ambidexterity and argues the importance of social interaction as a boundary condition on absorptive capacity and individual ambidexterity relationship for telecommunications firms in Iraq a context that neglected in previous studies.

This paper aims to document the adaptation strategies developed by local farmers to adjust to climate change and related hazards in Lijiang Prefecture in Southwest China, and quantify the determinants of the adaptation measures.

The study conducted a household survey with 433 respondents in Lijiang to documents adaptation measures. The authors used a multivariate probit model to quantify five categories of adaptation measures against a set of household features, extension and information, resources, social network, financial assets and perception variables.

The most significant determinants consisted of information on early climate warnings and impending hazards, ownership to land and livestock, irrigation membership in community-based organisations, household savings, cash crop farming and perceptions of climate change and its related hazards. Adaptation strategies and policies highlighting these determinants could help to improve climate change adaptation in the region.

This study quantified the determinants of adaptive strategies and mapped important determinants for the region that will provide farmers with the appropriate resources and information to implement the best practices for adapting to climatic changes. The method and findings could be useful and easily replicable for future agriculture policies.