Qingchao Cheng, Guangsheng Cao, Congyu Sang, Yujie Bai, Dan Li and Ruixuan Bu
This paper aims to clarify the corrosion inhibition effect of different corrosion inhibitor systems on the corrosion of metal pipe string by potassium persulfate plugging agent…
Abstract
Purpose
This paper aims to clarify the corrosion inhibition effect of different corrosion inhibitor systems on the corrosion of metal pipe string by potassium persulfate plugging agent, so as to improve the injection capacity of polymer plugging well and reduce the corrosion of steel by oxidant plugging agent.
Design/methodology/approach
The effect of different corrosion inhibitors on the corrosion inhibition of N80 carbon steel in 1% potassium persulfate solution was studied by electrochemical experiment and weight loss experiment. The corrosion inhibition mechanism of potassium persulfate inhibitor and the synergistic mechanism among different inhibitors were analyzed.
Findings
The results indicated that when the temperature was 50°C, the inhibition effect of 0.2% sodium molybdate with a single inhibitor was the best at pH 8.5, and the inhibition rate was 70.17%. The inhibition efficiency of 0.2% sodium molybdate + 0.3% sodium silicate in the composite inhibition system can reach 94.38%. In the temperature range of 20°C–60°C, with the increase of system temperature, the inhibition effect of corrosion inhibitor will gradually weaken.
Originality/value
The corrosion inhibition system of N80 steel in potassium persulfate oxidant was mainly studied, and it clarified the influence of temperature and pH value on the corrosion inhibition effect, which provided guidance and suggestions for the corrosion inhibition of tubular string in the oilfield.
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Fuping Bai, Mengting Shang, Yujie Huang and Donghui Liu
Based on resource-based theory and intellectual capital theory, this paper aims to investigate the impact of digital investment on enterprise value and the mediating role of…
Abstract
Purpose
Based on resource-based theory and intellectual capital theory, this paper aims to investigate the impact of digital investment on enterprise value and the mediating role of intellectual capital. Additionally, it explores the heterogeneous impacts of digital investment on enterprise value and intellectual capital.
Design/methodology/approach
The study utilizes a sample of listed companies in Chinese A-shares from 2013 to 2020. The entropy-weighted method is applied to measure digital investment from two dimensions: scale and increment. Finally, the research hypotheses are tested through multiple regression analysis.
Findings
The empirical results demonstrate that digital investment significantly and positively impacts enterprise value. From the channel mechanism test, digital investment can enhance enterprise value by influencing intellectual capital through human, structural and relational capital. Of these, the mediating effect of human capital is the most significant. Moreover, the impacts of digital investment on enterprise value and intellectual capital are related to the industry sectors. In the agricultural sector, digital investment has adverse effects. In the industrial and service sectors, digital investment promotes intellectual capital and enterprise value. However, in the service sector, the impact on relational capital is not significant, and the mediating effect of relational capital does not hold.
Research limitations/implications
This research has a limited potential for generalization due to the lack of standard measurement models for the exploration of digital investment.
Practical implications
The research findings are valuable for assessing the economic effects of digital investment comprehensively and providing essential information for policy formulation and strategy implementation.
Originality/value
This study represents the first attempt to evaluate the relationship between digital investment and enterprise value using the entropy-weighted method. In addition, this study investigates the mediating role of intellectual capital.
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Yujie Tang and Yang Li
This study examines how ethical leadership (EL) influences followers' willingness to conduct unethical pro-organizational behavior (UPB) via reciprocity beliefs at the individual…
Abstract
Purpose
This study examines how ethical leadership (EL) influences followers' willingness to conduct unethical pro-organizational behavior (UPB) via reciprocity beliefs at the individual level and political climate at the group level.
Design/methodology/approach
Two-point survey data were collected from 423 Chinese followers from 81 groups, and multilevel structural equation modeling was conducted to test the hypotheses.
Findings
Individual-level EL unintentionally increases follower UPB willingness by fostering reciprocity beliefs, while group-level EL intentionally reduces follower UPB willingness by controlling the political climate. The political climate plays both a cross-level moderated mediation role and a mediated moderation role between EL and UPB.
Practical implications
When seeking to decrease followers' intention to conduct UPB, managers are advised to use individual-level EL with care when the focus is on reciprocity, and they should consider using group-level EL more when the focus is on controlling political climate.
Originality/value
The study supports two distinct mediating mechanisms by examining individual-level EL (as a moral person) vs group-level EL (as a moral manager) on UPB, thereby revealing the reason for the mixed effects of EL on UPB.
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Weihua Liu, Jiahe Hou, Yujie Wang and Ou Tang
Drawing on the stakeholder theory, this study aims to empirically analyse the impact of platform enterprises’ corporate social responsibility (CSR) announcements on corporate…
Abstract
Purpose
Drawing on the stakeholder theory, this study aims to empirically analyse the impact of platform enterprises’ corporate social responsibility (CSR) announcements on corporate stock market value. This study also estimates the moderating effect of stakeholder orientation and responsibility categories of CSR announcements, the platform enterprise type and the degree of CSR disclosure.
Design/methodology/approach
The event study method is used to analyse the change in stock market value of 191 CSR announcements from 137 Chinese platform enterprises. In addition, a case analysis is presented for two platform enterprises with the best practices to validate and complement study findings.
Findings
CSR announcements improve platform enterprises’ stock market value. Specifically, CSR announcements responding to platform enterprises’ external stakeholders, and CSR announcements with economic responsibility, have obvious positive impacts on stock market value. Furthermore, the maker platform’s CSR announcement has a more positive impact on stock market value than the exchange platform.
Originality/value
To the best of the authors’ knowledge, this study is the first attempt to identify the link between platform enterprises’ CSR announcements and stock market performance by empirical evidence, and it contributes to new knowledge of operating and evaluating platform enterprises’ CSR.
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He Huang, Weining Wang and Yujie Yin
This study aims to focus on the clothing recycling supply chain and aims to provide optimal decisions and managerial insights into supply chain strategies, thereby facilitating…
Abstract
Purpose
This study aims to focus on the clothing recycling supply chain and aims to provide optimal decisions and managerial insights into supply chain strategies, thereby facilitating the sustainable development of the clothing industry.
Design/methodology/approach
Based on previous single- and dual-channel studies, game theory was employed to analyze multiple recycling channels. Concurrently, clothing consumer types were integrated into the analytical models to observe their impact on supply chain strategies. Three market scenarios were modeled for comparative analysis, and numerical experiments were conducted.
Findings
The intervention of fashion retailers in the clothing recycling market has intensified competition across the entire market. The proportions of various consumer types, their preferences for online platforms and their preference for the retailer’s channel influence the optimal decisions and profits of supply chain members. The diversity of recycling channels may enhance the recycling volume of clothes; however, it should meet certain conditions.
Originality/value
This study extends the existing theory from a channel dimension by exploring multiple channels. Furthermore, by investigating the classifications of clothing consumers and their influence on supply chain strategies, the theory is enhanced from the consumer perspective.
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Na Zhang, Yu Yang, Jiafu Su and Yujie Zheng
Because of the multiple design elements and complicated relationship among design elements of complex products design, it is tough for designers to systematically and dynamically…
Abstract
Purpose
Because of the multiple design elements and complicated relationship among design elements of complex products design, it is tough for designers to systematically and dynamically express and manage the complex products design process.
Design/methodology/approach
To solve these problems, a supernetwork model of complex products design is constructed and analyzed in this paper. First, the design elements (customer demands, design agents, product structures, design tasks and design resources) are identified and analyzed, then the sub-network of design elements are built. Based on this, a supernetwork model of complex products design is constructed with the analysis of the relationship among sub-networks. Second, some typical and physical characteristics (robustness, vulnerability, degree and betweenness) of the supernetwork were calculated to analyze the performance of supernetwork and the features of complex product design process.
Findings
The design process of a wind turbine is studied as a case to illustrate the approach in this paper. The supernetwork can provide more information about collaborative design process of wind turbine than traditional models. Moreover, it can help managers and designers to manage the collaborative design process and improve collaborative design efficiency of wind turbine.
Originality/value
The authors find a new method (complex network or supernetwork) to describe and analyze complex mechanical product design.
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Yujie Li, Tiantian Chen, Sikai Chen and Samuel Labi
The anticipated benefits of connected and autonomous vehicles (CAVs) include safety and mobility enhancement. Small headways between successive vehicles, on one hand, can cause…
Abstract
Purpose
The anticipated benefits of connected and autonomous vehicles (CAVs) include safety and mobility enhancement. Small headways between successive vehicles, on one hand, can cause increased capacity and throughput and thereby improve overall mobility. On the other hand, small headways can cause vehicle occupant discomfort and unsafety. Therefore, in a CAV environment, it is important to determine appropriate headways that offer a good balance between mobility and user safety/comfort.
Design/methodology/approach
In addressing this research question, this study carried out a pilot experiment using a driving simulator equipped with a Level-3 automated driving system, to measure the threshold headways. The Method of Constant Stimuli (MCS) procedure was modified to enable the estimation of two comfort thresholds. The participants (drivers) were placed in three categories (“Cautious,” “Neutral” and “Confident”) and 250 driving tests were carried out for each category. Probit analysis was then used to estimate the threshold headways that differentiate drivers' discomfort and their intention to re-engage the driving tasks.
Findings
The results indicate that “Cautious” drivers tend to be more sensitive to the decrease in headways, and therefore exhibit greater propensity to deactivate the automated driving mode under a longer headway relative to other driver groups. Also, there seems to exist no driver discomfort when the CAV maintains headway up to 5%–9% shorter than the headways they typically adopt. Further reduction in headways tends to cause discomfort to drivers and trigger take over control maneuver.
Research limitations/implications
In future studies, the number of observations could be increased further.
Practical implications
The study findings can help guide specification of user-friendly headways specified in the algorithms used for CAV control, by vehicle manufacturers and technology companies. By measuring and learning from a human driver's perception, AV manufacturers can produce personalized AVs to suit the user's preferences regarding headway. Also, the identified headway thresholds could be applied by practitioners and researchers to update highway lane capacities and passenger-car-equivalents in the autonomous mobility era.
Originality/value
The study represents a pioneering effort and preliminary pilot driving simulator experiment to assess the tradeoffs between comfortable headways versus mobility-enhancing headways in an automated driving environment.
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Abstract
Purpose
The purpose of this paper is to explore the heterogeneity and correlations of agricultural greenhouse gas (GHG) emissions among provinces in China, and then policy implications are proposed.
Design/methodology/approach
After agricultural GHG accounting and a pre-analysis of inter-provincial heterogeneity, improved gravity model and the Social Network Analysis (SNA) methods are introduced to construct the network, being carried out from three aspects of the whole network, individual provincial characteristics and cluster analysis.
Findings
(1) There are significant regional variations in agricultural GHG scale among provinces owing to the layout of agricultural production, and the temporal trends show that the direction and speed of agricultural GHG scale change vary among provinces; (2) In terms of inter-provincial correlations, there exists a complex spatial network of agricultural GHG among provinces, which tends to be more complex, intensive and stable, while the status of the provinces in the network also has gradually become more balanced. All provinces played their respective roles in the four clusters of the network with agricultural layout and comparative advantages, and the distribution has continuously optimized.
Practical implications
The inter-provincial network characteristics of agricultural GHG emissions and its evolution have practical implications for differentiated and coordinated agricultural GHG reduction policies at the provincial levels.
Originality/value
This paper innovatively study inter-provincial agricultural GHG correlations in China with the SNA methods used to study economic and social connections in the past. There is some originality in the introduction of network theory and application of the SNA methods, which can provide some reference for researches in similar fields.
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Qinqin Li, Yujie Xiao, Yuzhuo Qiu, Xiaoling Xu and Caichun Chai
The purpose of this paper is to examine the impact of carbon permit allocation rules (grandfathering mechanism and benchmarking mechanism) on incentive contracts provided by the…
Abstract
Purpose
The purpose of this paper is to examine the impact of carbon permit allocation rules (grandfathering mechanism and benchmarking mechanism) on incentive contracts provided by the retailer to encourage the manufacturer to invest more in reducing carbon emissions.
Design/methodology/approach
The authors consider a two-echelon supply chain in which the retailer offers three contracts (wholesale price contract, cost-sharing contract and revenue-sharing contract) to the manufacturer. Based on the two carbon permit allocation rules, i.e. grandfathering mechanism and benchmarking mechanism, six scenarios are examined. The optimal price and carbon emission reduction decisions and members’ equilibrium profits under six scenarios are analyzed and compared.
Findings
The results suggest that the revenue-sharing contract can more effectively stimulate the manufacturer to reduce carbon emissions compared to the cost-sharing contract. The cost-sharing contract can help to achieve the highest environmental performance, whereas the implementation of revenue-sharing contract can attain the highest social welfare. The benchmarking mechanism is more effective for the government to prompt the manufacturer to produce low-carbon products than the grandfathering mechanism. Although a loose carbon policy can expand the total emissions, it can improve the social welfare.
Practical implications
These results can provide operational insights for the retailer in how to use incentive contract to encourage the manufacturer to curb carbon emissions and offer managerial insights for the government to make policy decisions on carbon permit allocation rules.
Originality/value
This paper contributes to the literature regarding to firm’s carbon emissions reduction decisions under cap-and-trade policy and highlights the importance of carbon permit allocation methods in curbing carbon emissions.
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Zhenfeng Liu, Yujie Wang and Jian Feng
This paper aims to study vehicle-type strategies for the manufacturer's car sharing by accounting for consumers' behavior and the subsidy.
Abstract
Purpose
This paper aims to study vehicle-type strategies for the manufacturer's car sharing by accounting for consumers' behavior and the subsidy.
Design/methodology/approach
The authors develop a game model, in which a monopoly manufacturer that can produce gasoline vehicles (GVs) or energy vehicles (EVs) not only sells vehicles in the sales market, but also rents them out in the sharing market by the self-built platform. The manufacturer strategically chooses which type of vehicles based on consumers' behavior and whether the government provides the EVs’ subsidy.
Findings
When consumers' low-carbon awareness is relatively high or the marginal cost is low, the manufacturer chooses EVs. The manufacturer chooses GVs when the low-carbon awareness and the marginal cost are low. Only when the low-carbon awareness and the subsidy are not too low, the manufacturer who originally chose GVs launches EVs. When the low-carbon awareness is high, the excessive subsidy discourages the manufacturer from entering the sharing market. If the government provides the subsidy, the manufacturer launches high-end EVs. Otherwise, the manufacturer launches low-end EVs. Moreover, the subsidy increases consumer surplus and social welfare since the high subsidy makes EVs’ sharing market demand be negative.
Originality/value
This study enriches the literature on vehicle-type strategies for the manufacturer's car sharing, owns a practical significance to guide the manufacturer's operation management in the car sharing market and provides advice on whether the government should provide EVs’ subsidy.