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The purpose of this study is to explore the economic impact of financial restatements by major customers on the audit opinion of their suppliers, showing that non-financial information disclosure potentially helps auditors make better assessments.

Using a sample of China’s listed firms from 2007 to 2021, the authors aim to find the relationship between customers’ financial restatements and their suppliers’ audit opinions. Heckman selection model, placebo tests and other robustness checks are used as well.

The findings reveal that customers’ financial restatements have a significant effect on the likelihood of suppliers receiving modified audit opinions. This relationship is pronounced when suppliers face a higher level of financial constraints, exhibit poorer accounting conservatism or receive more negative media coverage. Additionally, this effect occurs through increased business risk and information risk, which heightens auditors’ perceived audit risk. Moreover, the study highlights the influence of switching costs, auditor expertise and restatement severity on this relationship.

Risks originating from customers can spread along the supply chain, emphasizing the necessity for auditors to give heightened attention to both the audited firms and their customer information. Moreover, regulators should carefully consider the important impact of customer information disclosures to maximize the protection of the interests of external information users.

This study not only confirms the crucial role of customer information disclosures in annual reports for stakeholders and auditors but also contributes to the existing literature on customer–supplier relationships.

This paper takes the seven overcapacity industries such as the textile industry, electricity and heat, steel, coal, automobile manufacturing, nonferrous metals and petrochemical industry as research objects and proposes a TOPSIS grey relational projection group decision method with mixed multiattributes, which is used for the ranking of the seven industries with overcapacity and provided relevant departments with a basis for decision-making.

First, an evaluation index system from four aspects is established. Secondly, the attributes of linguistic information are converted into two-dimensional interval numbers and triangular fuzzy numbers, and an evaluation matrix is constructed and normalized. This paper uses the AHP method to determine the subjective weights and uses the coefficient of variation method to determine the objective weights. Moreover, this paper sets up the optimization model with the largest comprehensive evaluation value to determine the combined weights. Finally, the TOPSIS grey relational projection method is proposed to calculate the closeness of grey relational projections and to rank them.

This paper analyzes the problem of overcapacity in seven industries with the TOPSIS grey relational projection method. The results show that the four industries of automobile manufacturing, textile, coal and petrochemical are all in serious overcapacity levels, while the three industries of steel, nonferrous metals and electric power are relatively in weak overcapacity level in the three years of 2016–2018. TOPSIS grey relational projection method ranks the overcapacity degree of the seven major overcapacity industries, making the relative overcapacity degree of each industry more clear and providing a reference for the government to formulate targeted policies and measures for each industry.

By using TOPSIS grey relational projection method to evaluate the overcapacity of the seven major overcapacity industries, on the one hand, it makes the relative overcapacity degree of each industry more clear, on the other hand, it can provides the basis for the government and decision-making departments. This helps them promote better the healthy and orderly economic development of the seven major industries and avoid resource waste caused by overcapacity.

This article solves the single evaluation method caused by the limited indicators in the past, combines TOPSIS and the grey relational projection method and applies it to the overcapacity evaluation of the industry, not only applies it to the evaluation of overcapacity for the first time but also involves novel problems and methods, which expands the scope of application of the model.

Partners' knowledge is an essential source of knowledge for organizations in the collaborative innovation. Exploratory innovation is an innovation strategy that is significant to the organization and is characterized by learning and absorbing new knowledge for new products and technology. The purpose of this study is to investigate the impact of partners' knowledge utilization on exploratory innovation and to analyze further the moderating effect of previous competitive and collaborative relationships between organizations on the above relationships.

In this study, the patent data of 1,636 organizations in the nano-biopharmaceutical field collaboratively from 1998 to 2020 are used as a sample. The knowledge networks and collaboration networks are constructed through the patent data. A negative binomial regression method is used to conduct the empirical study.

The results indicate that partners' knowledge utilization has an inverted U-shaped effect on exploratory innovation. The competitive relationship steepens the inverted U-shape effect of partners' knowledge utilization on exploratory innovation and makes the turning point to the left. The collaborative relationship steepens the inverted U-shape effect of partners' knowledge utilization on exploratory innovation and makes the turning point to the right.

This study is the first to examine the impact of partners' knowledge utilization on exploratory innovation and to explore the role of the competitive and collaborative relationships between organizations. It extends current research in organizational innovation and knowledge management by providing insight into partners' knowledge utilization.

Despite the popularity of leveraging cause-related marketing (CRM) to make societal contributions and bolster business profits, sellers face a profound dilemma when conducting CRM due to consumers’ ambivalent understanding of sellers’ motivation for the initiative. Therefore, it is imperative to unravel consumers’ ambivalent understanding of CRM and determine how sellers can effectively employ CRM to elicit positive evaluations from consumers.

This study gathered survey data from 217 participants and applied a polynomial regression model and response surface analysis for disentangling ambivalent perception of CRM by investigating the influence of (in)congruence between perceived egoistic and altruistic motivation.

The incongruence between perceived egoistic and altruistic motivation can positively influence consumers’ evaluations of sellers. Moreover, when perceived egoistic and altruistic motivations are congruent, increasing their absolute level also enhances consumers’ evaluation of sellers. Moreover, sellers’ platform function usage behavior can amplify the positive effect of incongruence but has no salient moderating role on the congruence effect.

Differing from prior literature that predominantly focused on either the positive or negative interpretation of CRM, this study reveals the coexistence of both positive and negative viewpoints and disentangles the congruence and incongruence effect between the two motivational understandings.

This study aims to better understand the morphological characteristics of single particle and the health risk characteristics of heavy metals in PM_2.5 in different functional areas of Handan City.

High resolution transmission electron microscopy was used to observe the aerosol samples collected from different functional areas of Handan City. The morphology and size distribution of the particles collected on hazy and clear days were compared. The health risk evaluation model was applied to evaluate the hazardous effects of particles on human health in different functional areas on hazy days.

The results show that the particulate matter in different functional areas is dominated by spherical particles in different weather conditions. In particular, the proportion of spherical particles exceeds 70% on the haze day, and the percentage of soot aggregates increases significantly on the clear day. The percentage of each type of particle in the teaching and living areas varied less under different weather conditions. Except for the industrial area, the size distribution of each type of particle in haze samples is larger than that on the clear day. Spherical particles contribute more to the small particle size segment. Soot aggregate and other shaped particles contribute more to the large size segment. The mass concentrations of hazardous elements (HEs) in PM_2.5 in different functional areas on consecutive haze pollution days were illustrated as industrial area > traffic area > living area > teaching area. Compared with the other functional areas, the teaching area had the lowest noncarcinogenic risk of HEs. The lifetime carcinogenic risk values of Cr and As elements in each functional area have exceeded residents’ threshold levels and are at high risk of carcinogenicity. Among the four functional areas, the industrial area has the highest carcinogenic and noncarcinogenic risks. But the effects of HEs on human health in the other functional areas should also be taken seriously and continuously controlled.

The significance of the study is to further understand the morphological characteristics of single particles and the health risks of heavy metals in different functional areas of Handan City. the authors hope to provide a reference for other coal-burning industrial cities to develop plans to improve air quality and human respiratory health.

The Belt and Road Initiative (BRI) is the most comprehensive and substantial international cooperation platform, creating a new market influenced by economic and political factors. In this paper, the authors aim to examine whether and how the BRI impacts the Chinese enterprises' corporate environmental responsibility (CER).

Based on China's listed firms' database from 2011 to 2018, the authors use the PSM-DID method, an econometrics method combined with propensity score matching (PSM) and difference-in-differences (DID), to conduct causal inference between the BRI and Chinese enterprises' CER and conduct a series of robustness analyses. Moreover, the authors explore the mechanisms underlying the main effect from both market and non-market perspectives.

The results suggest that the BRI significantly increases Chinese enterprises' CER. Further analyses show that market competition and government support are two possible mechanisms through which the BRI has an effect on the enterprises' CER.

The research study supplements existing work on the environmental effects of the BRI at a microlevel and adds to the literature on the drivers of CER. The findings offer valuable insights into governments and scholars by demonstrating that CER is a crucial tool for Chinese enterprises to gain a competitive advantage in the increasingly competitive markets along the BRI.

The purpose of this paper is to study the influence of calcium sulfate whiskers (CSWs) on the thermodynamic properties and shape memory properties of epoxy/cyanate ester shape memory composites.

To improve the mechanical properties of shape memory cyanate ester (CE)/epoxy polymer (EP) resin, high performance CSWs were used to reinforce the thermo-induced shape memory CE/EP composites and the shape memory CSW/CE/EP composites were prepared by molding. The effect of CSW on the mechanical properties and shape memory behavior of shape memory CE/EP composites was investigated.

After CSW filled the shape memory CE/EP composites, the bending strength of the composites is greatly improved. When the content of CSW is 5 Wt.%, the bending strength of the composite is 107 MPa and the bending strength is increased by 29 per cent compared with bulk CE/EP resin. The glass transition temperature and storage modulus of the composites were improved in CE/EP resin curing system. However, when the content of CSW is more than 10 Wt.%, clusters are easily formed between whiskers and the voids between whiskers and matrix increase, which will lead to the decrease of mechanical properties of composites. The results of shape memory test show that the shape memory recovery time of the composites decreases with the decrease of CSW content at the same temperature. In addition, the shape recovery ratio of the composites decreased slightly with the increase of the number of thermo-induced shape memory cycles.

A simple way for fabricating thermo-activated SMP composites has been developed by using CSW.

The outcome of this study will help to fabricate the SMP composites with high mechanical properties and the shape memory CSW/CE/EP composites are expected to be used in space deployable structures.

Industrial land renewal is a significant constituent of urban environment and sustainable development. Most implementation in planning of renewal of industrial land has been mainly conducted at the site level of industrial zones or parks and the larger scale of township planning deserve further attention in China. To fill this gap, this paper aims to investigate the implementation of industrial land renewal for a whole urbanized area under the township master planning.

This study introduces a progressive approach to identify and evaluate the renewal of industrial land in township master planning to move toward a more practical understanding of industrial transition. The authors chose a typical industrialized town, Lijia in Changzhou City, under the development model of “Southern Jiangsu” to explain the measurement and assessment framework to identify and evaluate the renewable industrial land. Synthesizing the idea of sustainable development, the authors investigated the renewable industrial land with an econometric model including multiple-indexes of economic, social and ecological aspects, field observations and depth interviews.

The analysis demonstrated the spatial heterogeneity and complex generous structure of industrial land renewal in developing countries. It pointed out the major responsibility of enterprises as main industrial land users and indispensable responsibility of government and society. Following the idea of organic concentration and avoiding one-size-fits-all kind of deal, the master planning of Lijia emphasized the connection of industrial land and the combination of market force, social force and government regulation.

With original data and discussion, the authors provide more scientific renewal strategies for planners in sustainable development.

This study investigates the capital structure determinants of the Middle East tourism sector by examining intellectual capital (IC) efficiency and institutional governance along with firm-specific and macroeconomic variables. This research also identifies the determinants of capital structure for tourism companies in the Gulf Cooperation Council (GCC) and non-GCC countries.

Data were collected from 45 listed tourism companies of nine Middle Eastern countries over five years from 2014 to 2018. The data were analysed using ordinary least squares (OLS) regression and checked for robustness using the generalised methods of moment (GMM) estimation.

Overall, the results indicate that tourism companies rely more on short-term debt (STD) than long-term debt (LTD), thus decreasing liquidity and increasing financial risk. Furthermore, tourism companies in non-GCC countries have higher IC efficiency compared to those in GCC countries. The aggregate institutional index is much higher for GCC countries compared to non-GCC countries. The OLS estimations suggest IC efficiency and institutional governance index provide inconclusive evidence as a determinant of capital structure proxy. High capital employed efficiency (CEE) is associated with more leverage for tourism firms. Theoretically, the results support pecking order and trade-off theories due to the relationships between firm-specific indicators and debt.

This study closes the gap in the capital structure debate by providing valuable insights into IC efficiency and institutional governance. These two factors serve as capital structure determinants in the Middle East and the GCC and non-GCC regions.