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This study aims to evaluate the protection performance of zinc as sacrificial anode for ABS A steel in the presence of H₂S under different temperatures, pH and salinities.

In this paper, weight loss measurements and electrochemical measurements are used to evaluate the corrosion degree of zinc and ABS A steel.

Under the conditions involved in this work, it is shown that zinc is a nice sacrificial anode with the reason of its stable potential and excellent anode current efficiency according to the relevant standard. And it is also found that the hydrogen evolution does not occur on ABS A steel specimens. The potential difference between cathode and anode is suitable; thus, it can be concluded that each steel is well protected.

To the best of the authors’ knowledge, no other study has analyzed the protection mechanism and effect of zinc as sacrificial anode in H₂S-containing environments under high temperature at present.

Considering the greenwashing risk of symbolic environmental management, this study aims to distinguish the motivation for environmental investment growth (EIG) from the corporate cost stickiness and anti-stickiness perspectives.

This study analyzes the impact of substantive and symbolic environmental management on cost stickiness. Subsequently, competing hypotheses are proposed. Finally, empirical tests are conducted on Chinese A-share listed companies from 2010 to 2019.

EIG significantly improves enterprises’ cost stickiness. The cost of high EIG enterprises does not decrease significantly with a decline in income compared to other enterprises, which is consistent with the motivation for substantive environmental management. Enterprises with high asset specificity and optimistic management expectations show more obvious substantive environmental management. Government and public environmental concerns cause more pronounced substantive environmental management.

An evaluation of corporate environmental responsibility should take into account both what the company has disclosed and what it has actually done.

Governments and the public should have a comprehensive understanding of corporate environmental management. They need to strengthen their ability to recognize symbolic environmental management and support substantive environmental management.

Fundamental to the evaluation of corporate environmental responsibility, this study distinguishes the motivations for corporate EIG disclosures from the cost stickiness perspective to avoid the risk of greenwashing. Hypotheses on the impact of substantive and symbolic environmental management on cost stickiness are presented. This study verifies the substantive environmental management characteristics of listed Chinese companies.

This study aims to investigate the factors affecting urban economic development in emerging economic market countries and to provide a new research perspective on urban skyscraper construction.

An empirical analysis based on a difference-in-differences (DID) model is conducted using data of urban data in China that expand into developed markets from 2003 to 2018.

The results of the spatial heterogeneity test indicate that the construction of skyscrapers has a significant promotional effect on the eastern city's economy. In contrast, it has a significant inhibitory effect in the central and western regions. Further findings demonstrate that the construction of skyscrapers can influence urban economic development by promoting industrial agglomeration, especially when the transmission effect of the diversified accumulation of tertiary industry is more prominent. The expansion analysis shows that skyscrapers have increased the level of trade in the city, and the impact on trade has an optimal height.

This paper focuses on the economic and trade effects of skyscrapers, and the optimal height of skyscrapers needs to be discussed in more depth, which is also the next problem the researchers need to study.

The government should attach importance to and promote the construction of urban skyscrapers, and do a good job in overall planning and design. The city should formulate preferential policies in land, taxation, finance, system and other aspects to increase support for urban skyscraper construction and promote local economic development.

This study focuses on the impact of urban skyscraper construction on the economic and trade development of cities in developing countries, which not only complements the relevant research on the economic effects of urban skyscraper construction, but also helps to provide reference for the sustainable development of urbanization in many developing countries.

Moral consideration is significantly important as social responsibility of economic actions. This article aims to analyze the moral embeddedness of labor market using the typology of moral behavior in market exchange by Beckert (2005).

This study contributes to methodological novelty through a digital research design using Gephi and NVIVO software. Textual Network Analysis (TNA) is used to analyze the moral embeddedness of labor market transaction of Chinese migrant workers.

Overall, the results show that the presence of Chinese migrant workers in Indonesia is a form of Trojan altruism and harmful to local labor market. This study also provides a theoretical debate that morals are always embedded in markets.

The data and focus of this study are the Indonesian side, particularly the local labor market. In addition, access to interviews with the Chinese government and companies is very challenging and cannot be done because they cannot carelessly provide information to journalists and researchers.

In contrast to previous studies on Chinese migrant workers that tend to use the economic perspective, this study applies the moral perspective that is more sociological and discusses social responsibility of market actions.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0737

The behavior of the entities in a small and medium-sized enterprise (SME) cooperation network is influenced by the core enterprise. Addressing the problem of how the network vulnerability changes when the core enterprise is attacked is a challenging topic. The purpose of this paper is to reveal the failure process of SME cooperation networks caused by the failure of the core SME from the perspective of cascading failure.

According to the Torch High Technology Industry Development Center, Ministry of Science & Technology in China, 296 SMEs in Jiangsu province were used to construct an SME cooperation network of technology-based SMEs and an under-loading cascading failure model. The weight-based attack strategy was selected to mimic a deliberate node attack and was used to analyze the vulnerability of the SME cooperation network.

Some important conclusions are obtained from the simulation analysis: (1) The minimum boundary of node enterprises has a negative relationship with networks' invulnerability, while the breakdown probability has an inverted-U relationship with networks' invulnerability. (2) The combined effect of minimum boundary and breakdown probability indicates that the vulnerability of networks is mainly determined by the breakdown probability; while, minimum boundary helps prevent cascading failure occur. Furthermore, according to the case study, adapting capital needs and resilience in the cooperation network is the core problem in improving the robustness of SME cooperation networks.

This research proposed an under-loading cascading failure model to investigate the under-loading failure process caused by the shortage of resources when the core enterprise fails or withdraws from the SME cooperation network. Two key parameters in the proposed model—minimum capacity and breakdown probability—could serve as a guide for research on the vulnerability of SME cooperation networks. Additionally, practical meanings for each parameter in the proposed model are given, to suggest novel insights regarding network protection to facilitate the robustness and vulnerability in real SME cooperation networks.

A stroke is a serious, life-threatening condition that occurs when the blood supply to a part of the brain is cut off. The earlier a stroke is treated, the less damage is likely to occur. One of the methods that can lead to faster treatment is timely and accurate prediction and diagnosis. This paper aims to compare the binary integer programming-data envelopment analysis (BIP-DEA) model and the logistic regression (LR) model for diagnosing and predicting the occurrence of stroke in Iran.

In this study, two algorithms of the BIP-DEA and LR methods were introduced and key risk factors leading to stroke were extracted.

The study population consisted of 2,100 samples (patients) divided into six subsamples of different sizes. The classification table of each algorithm showed that the BIP-DEA model had more reliable results than the LR for the small data size. After running each algorithm, the BIP-DEA and LR algorithms identified eight and five factors as more effective risk factors and causes of stroke, respectively. Finally, predictive models using the important risk factors were proposed.

The main objective of this study is to provide the integrated BIP-DEA algorithm as a fast, easy and suitable tool for evaluation and prediction. In fact, the BIP-DEA algorithm can be used as an alternative tool to the LR model when the sample size is small. These algorithms can be used in various fields, including the health-care industry, to predict and prevent various diseases before the patient’s condition becomes more dangerous.