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A public emission reduction project offers saleable carbon credits to encourage individual residents to participate in activities with low carbon emissions: if the residents participate, they will earn carbon credits that can be sold to polluting firms for carbon offsetting. This study explores the economic and environmental implications of these projects.

The authors develop a multiperiod model to incorporate the decisions of individual residents and a polluting firm. The model captures residents' difference in estimating the price of carbon credits: A proportion of residents are naive residents who shortsightedly take the previous market price of carbon credits as the basis of their decision-making.

A public emission reduction project can improve the cost-efficiency of carbon reduction, increase both the profit of the polluting firm and consumer surplus, but may hurt the welfare of the participating residents. Reducing transaction costs of carbon credits may cause a greater loss to participating residents. As the ratio of naive residents decreases, the overall welfare of participating residents increases and the number of participating residents decreases.

To encourage more residents to reduce carbon emissions, the project should be promoted to new areas (e.g. rural areas) where there are more naive residents. Although reducing transaction costs is an effective way to increase the economic viability of the project, the government should pay attention to protecting the welfare of residents, and educating residents is an effective way to improve their overall welfare.

This paper is the first to reveal the economic and environmental implications of public emission reduction projects.

The study employs two independent experimental studies to collect data. It focuses on the matching effect between advertising appeals and product types. The Elaboration Likelihood Model serves as the theoretical framework for understanding the cognitive processing involved in consumers' responses to these advertising appeals and product combinations.

This paper aims to investigate the impact of advertising appeals on consumers' intentions to purchase organic food. We explored the interaction between advertising appeals (egoistic vs altruistic) and product types (virtue vs vice) and purchase intention. The goal is to provide insights that can enhance the advertising effectiveness of organic food manufacturers and retailers.

The analysis reveals significant effects on consumers' purchase intentions based on the matching of advertising appeals with product types. Specifically, when egoistic appeals align with virtuous products, there is an improvement in consumers' purchase intentions. When altruistic appeals match vice products, a positive impact on purchase intention is observed. The results suggest that the matching of advertising appeals with product types enhances processing fluency, contributing to increased purchase intention.

This research contributes to the field by providing nuanced insights into the interplay between advertising appeals and product types within the context of organic food. The findings highlight the importance of considering the synergy between egoistic appeals and virtuous products, as well as altruistic appeals and vice products. This understanding can be strategically employed by organic food manufacturers and retailers to optimize their advertising strategies, thereby improving their overall effectiveness in influencing consumers' purchase intentions.

The primary aim of this study is to resolve a longstanding debate concerning the impact of takeover premiums on post-acquisition performance. Specifically, we aim to examine how acquirers' marketing capabilities and payment methods moderate the relationship between takeover premiums and post-acquisition performance.

This study employs linear regression to examine the relationship between acquirers' marketing capabilities, payment methods, takeover premiums and post-acquisition performance in the Chinese manufacturing industry. Data for the analysis were collected from both mergers and acquisition (M&A) announcements and the China Stock Market & Accounting Research Database (CSMAR), covering 1,169 acquisitions from 2012 to 2021.

The results indicate that acquirers' marketing capabilities moderate the impact of takeover premiums on post-acquisition performance. When acquirers possess strong marketing capabilities, takeover premiums increase post-acquisition performance. Conversely, when acquirers lack strong marketing capabilities, takeover premiums are not significantly related to post-acquisition performance. Additionally, it is noteworthy that takeover premiums show a positive correlation with post-acquisition performance, irrespective of the payment methods employed by acquirers for target firms.

Given that takeover premiums are essential for acquiring resources from target firms, it is crucial to maximize the value of these acquired resources. Our findings suggest that acquirers with weaker marketing capabilities before the deal should consider a more conservative approach to pricing target firms.

This study aims to explore the impacts of structural holes (SH) and guanxi and their interaction on the application and integration of tacit knowledge among co-workers in inter-organizational arrangements.

The relationships were examined using a mixed-methods research approach through 305 questionnaires and 50 interviews collected from a university and a pharmaceutical company in China.

SH hinders the application and integration of tacit knowledge, while guanxi promotes these latter. In addition, guanxi moderates the negative impact of SH on tacit knowledge application (TKA) and tacit knowledge integration (TKI).

By developing a framework to identify how co-workers strategically leverage their guanxi and SH to facilitate TKA and TKI, this study identifies the key factors that drive these latter in complex inter-organizational arrangements, contributing to the literature on knowledge management. In addition, the study makes a contribution to the advancement of SH theory by comparing guanxi with other social relationships in terms of their application to SH in different cultures, and recognizing the cultural contingencies that condition the effect of SH on knowledge management performance, thereby generating an important implication for the identification of the different roles that structural-hole owners play in brokerage situations. Finally, by comparing the difference between guanxi and interpersonal relationships in Chinese culture, this study provides a reasonable explanation for guanxi’s moderating effect on SH.

By uncovering the significance of guanxi cultivation with individuals who occupy yet-to-be-filled SH to make them more committed to the network, this study seeks to provide organizational leaders with helpful suggestions for the creation of incentives to fill SH.

By developing a framework to identify how co-workers strategically leverage their guanxi and SH to facilitate TKA and TKI, this study provides a theoretically defensible and empirically supported solution to the problems experienced by co-workers in applying and integrating tacit knowledge effectively in complex inter-organizational arrangements.

Under the influence of the digital economy, the digital transformation of manufacturing enterprises has attracted widespread attention from scholars at home and abroad due to its uniqueness and importance. However, the existing literature is still deficient in the inner mechanism of digital transformation and lacks research on the digital transformation process. Through in-depth interviews and rooted theory, this paper focuses on the key factors of digital development of manufacturing enterprises and constructs a model of the digital transformation process.

This paper takes China's manufacturing enterprises as research projects. First, through a literature search, the authors proposed three key factors for constructing sustainable competitiveness from digital transformation, that is, core technology innovation, business model re-engineering and organizational structure optimization. Second, the authors adopted the grounded theory approach to identify three sustainable competitive factors of manufacturing enterprises resulting from digital transformation and constructed a theoretical model. Third, based on Chinese manufacturing enterprises data, the authors used an empirical study to validate the three influencing factors. Finally, the authors identified the inner mechanism of the digital transformation of enterprises and put forward suggestions for enterprises to maintain sustainable competitiveness.

First, based on the existing literature, this paper identified the importance of digital transformation of manufacturing enterprises, and the essence of digital transformation of manufacturing companies was found to lie in the change in the combined effect of technological, market and organizational innovation. Second, based on the grounded theory, through in-depth interviews with manufacturing enterprises on digital transformation and open coding of interview transcripts, it was concluded that the key factors for the digital transformation manufacturing companies are core technology change, business model re-engineering and organizational structure optimization. Third, based on a dynamic perspective, the authors evaluated and validated digital transformation. The study found that manufacturing enterprises can improve their digital transformation capabilities through the trajectory of “core technology change – business model re-engineering – organizational structure optimization” to improve their sustainable competitive advantage.

Firstly, this study proposed three key factors for constructing sustainable competitiveness from digital transformation, that is, core technology innovation, business model re-engineering and organizational structure optimization, which enriched the theory of transformation and upgrading. Secondly, this study constructs the structural equation model of digital transformation and discovers the key factors pf digital transformation.

Some power plants in China that adopt reverse osmosis (RO) product water as their fresh water source face serious metal corrosion of their water distribution system. The corrosion process of carbon steel in RO product water is still not clear and there is no suitable anti‐corrosion method for the power plant to employ. The purpose of this paper is to study the corrosion behavior of carbon steel in RO product water, determine the factors leading to the high corrosion rate of carbon steel, and then suggest appropriate anti‐corrosion measures.

By measuring polarization curves and AC impedance values of the corrosion system and analyzing corrosion products using scanning electron microscopy (SEM), infrared spectroscopy (IR) and X‐ray diffraction (XRD), the corrosion behavior of Q235A carbon steel in the RO product water derived from seawater was studied.

The experimental results showed that the corrosion process of carbon steel in RO product water is controlled by the diffusion process of oxygen, and the corrosion products contain γ‐FeOOH, Fe₃O₄ and small amounts of α‐FeOOH. Although rust formed had a double layer structure, the outer rust layer, which contained γ‐FeOOH and a little α‐FeOOH, was thin. The inner rust layer, containing Fe₃O₄, was the main component of the rust layer. Due to the weak acidity of RO product water, γ‐FeOOH can be transformed to Fe₃O₄ very quickly and Fe₃O₄ will accumulate on the metal surface. Because of the electrical conductivity and fractured surface of the Fe₃O₄ layer, the corrosion product layer cannot inhibit the corrosion process by hindering the diffusion process of oxygen, and hence the corrosion rate of carbon steel is always high.

The paper describes the first systematic research to be carried out on the corrosion behavior of carbon steel in RO product water. It was found that the generation and accumulation of Fe₃O₄ on the metal surface was the primary reason leading to the high corrosion rate of carbon steel, and anti‐corrosion measures can be chosen following the following rules: deoxygenation, raising of the pH of the solution, or addition of corrosion inhibitors to the solution.

The purpose of this paper was to study the corrosion control of B10 copper-nickel alloy using the LiOH-N₂H₄ compound inhibitors and to evaluate the feasibility of replacing the original inhibitors (NaNO₂-Na₂MoO₄) with the new ones (LiOH-N₂H₄) for the chilled water system in a nuclear unit.

The corrosion resistance performance of B10 copper-nickel alloy was evaluated during the whole replacement process of inhibiters using electrochemical tests and surface analysis techniques.

The results indicated that the corrosion of B10 copper-nickel alloy could be prevented effectively using LiOH to increase the pH value of solution higher than 10.0 and using N₂H₄ to consume dissolved oxygen. During the replacement process of inhibitors from NaNO₂-Na₂MoO₄ to LiOH-N₂H₄, the corrosion resistance performance of B10 copper-nickel alloy had not decreased greatly. The new LiOH-N₂H₄ inhibitor, which could enhance the compactness of rust, was able to reduce the corrosion rate of rusted B10 metal.

It is feasible and operable to replace the NaNO₂-Na₂MoO₄ inhibitors with the LiOH-N₂H₄ inhibitors for the corrosion prevention of B10 copper-nickel alloy. The research results can provide guidelines for the inhibitor selection of chilled water system in a nuclear unit.

As a high-performance engineering plastic, polyimide (PI) is widely used in the aerospace, electronics and automotive industries. This paper aims to review the latest progress in the tribological properties of PI-based composites, especially the effects of nanofiller selection, composite structure design and material modification on the tribological and mechanical properties of PI-matrix composites.

The preparation technology of PI and its composites is introduced and the effects of carbon nanotubes (CNTs), carbon fibers (CFs), graphene and its derivatives on the mechanical and tribological properties of PI-based composites are discussed. The effects of different nanofillers on tensile strength, tensile modulus, coefficient of friction and wear rate of PI-based composites are compared.

CNTs can serve as the strengthening and lubricating phase of PI, whereas CFs can significantly enhance the mechanical properties of the matrix. Two-dimensional graphene and its derivatives have a high modulus of elasticity and self-lubricating properties, making them ideal nanofillers to improve the lubrication performance of PI. In addition, copolymerization can improve the fracture toughness and impact resistance of PI, thereby enhancing its mechanical properties.

The mechanical and tribological properties of PI matrix composites vary depending on the nanofiller. Compared with nanofibers and nanoparticles, layered reinforcements can better improve the friction properties of PI composites. The synergistic effect of different composite fillers will become an important research system in the field of tribology in the future.

The purpose of this study was to investigate the corrosion of rusted carbon steel in dilute NaCl solution, with the purpose of exploring the effect of the rust layer on metal corrosion and establishing a corrosion model for rusted iron.

The corrosion behavior of rusted carbon steel in dilute NaCl solution was studied by means of weight-loss determinations, scanning electron microscopy, Raman spectrometry and electrochemical techniques.

The results indicated that carbon steel had a similar corrosion behavior in all three NaCl solutions. The iron rust, which consisted of a thin γ-FeOOH layer and a thick Fe₃O₄ layer, can facilitate the corrosion process of carbon steel via reduction of γ-FeOOH and the large area cathode of Fe₃O₄. Hence, the corrosion rate of carbon steel was accelerated significantly and finally was determined by the limiting diffusion rate of oxygen.

A corrosion model of rusted carbon steel was established, suggesting that iron rust formed in all slightly acidic waters with low alkalinity probably promotes the corrosion of carbon steel. Anti-corrosion measures for iron in this type of solution, such as desalination water, should be aimed to reduce the promotional effect of the rust layer on metal corrosion.

This study aims to evaluate the effectiveness of different prefabricated construction (PC) policies using a case study in Wuhan, considering the local context.

The effectiveness of PC policies is falling behind expectations. The main reason lies in an insufficient understanding of the policy impacts. An agent-based model was built by choosing the residential sector in a typical large city of Wuhan, China, as the study case. Different cost reduction scenarios were introduced for investigating the PC policy effectiveness. The proposed model and simulation approach can be used for other cities and generalized to the whole Chinese PC industry with the potential to include more local policies and corresponding data.

Simulation results show that carbon emission reduction will be between 60,000 and 80,000 tons with policy incentives, nearly double that of the no policy intervention scenario. The target of 30% PC in all new buildings by 2026 in China is achievable with the subsidy policies of linear cost reduction, or cost reduction conforms to the learning curve.

Simulation results of three kinds of policy show that subsidy policy optimization is necessary regarding reducing the level of subsidy needed. The carbon credit policy is not essential since it has little influence on PC development. Implementing the project procurement restriction policy is not recommended if the scale of development of PC is more important than achieving the development target.

This study can help the government and developers make better policy and strategic decisions on PC development and boost the sustainability transition of the construction industry.