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This paper aims to investigate the effects of deposition time on the structure and anti-corrosion properties of a micro-arc oxidation (MAO)/Al coating on AZ31B Mg alloy.

The study describes the fabrication of the coating via a combined process of MAO with multi-arc ion plating. The structure, composition and corrosion resistance of the coatings were evaluated using scanning electron microscopy, energy dispersive spectroscopy, X-ray diffraction and electrochemical methods.

The Al-layer is tightly deposited with a good mechanical interlock along the rough interface due to the Al diffusion. However, the Al layer reduces the anti-corrosion of MAO-coated Mg alloy because of structural defects such as droplets and cavities, which act as channels for corrosive media infiltration towards the substrate. Fortunately, the Al layer improves the substrate corrosion resistance owing to its passive behaviour, and the corrosion resistance can be enhanced with increasing deposition time. All results indicate that a buffer layer fabricated through the duplex process improves the interfacial compatibility between the hard coating and soft Mg alloys.

An MAO/Al duplex coating was fabricated via a combined process of MAO and physical vapour deposition. MAO/Al duplex coatings exhibit obviously passive behaviours on AZ31 Mg alloy. The structure and corrosion resistance of MAO/Al coatings were investigated.

This paper gives a preliminary analysis of the development of mainland China's outbound tourism market, including national policy, classifications, main destinations, tourism source regions and so on. It also includes case studies from Hong Kong and Guangdong Province. Finally, it briefly outlines the problems of the market and the new policy in this field.

This study aims to use Porter’s hypothesis (PH), which tests whether corporates’ green investment has an impact on their economic performance (EP). The study argues that corporates’ environmental strategy should allow for a “win-win” situation concerning regulatory compliance.

The quantitative methodology used PH to test empirically the economic consequences of corporates’ green investment in China.

This study indicates that there is a U-shaped relationship between green/environmental investment (EI) and EP. When EI is less, corporates’ EP follows a downward sloping curve until the scale of EI increases and exceeds the “threshold.” From this turning point, EP follows an upward-sloping curve as EI increase. This relationship is more significant in high-polluting companies and state-owned companies.

The empirical results extend the research field of EI and EP for listed companies in China and cover 1,324 observations over the period 2008–2017.

First, the authors expand the research on green/EI and EP using firm-level data. Second, the study empirically tests the economic consequences of corporates’ green investment. Third, this study finds a non-linear relationship between green investment and EP due to the heterogeneity of industry attributes and property rights. These findings provide better explanations for the different research conclusions regarding the economic consequences of green investment.

Compared to global research, China’s research on EI has mainly focused on the macro and industry levels. There is still a lack of micro-level research. The paper addresses this research gap as the authors use firm-level EI data to capture companies’ green investment efforts in environmentally sustainable development and its subsequent impact on EP.

With high-speed urbanization and strict requirements on energy conservation and environmental protection, eco-city has become the priority of urban development in China. Governments of all levels promote various eco-city planning schemes within a short term, but most schemes are characterized by randomness and subjectivity. To solve the lack of scientific pre-implementation evaluation for eco-city planning and improve eco-city construction quality, a systematic analysis is conducted in this study from three dimensions, namely, eco-city planning scheme, operating mechanism, and guarantee measures. A 3D evaluation model for eco-city planning is constructed through index selection. Schemes are ranked comprehensively with the distance measure method, and projection analysis is performed with the four-grid evaluation screen. Finally, the 3D evaluation model is applied to evaluate eco-city planning for Shenzhen, Chongqing, and Weifang. Results show that the model can be used to evaluate eco-city planning schemes effectively and comprehensively and offers targeted optimization suggestions in accordance with the evaluation results. Construction of the 3D evaluation model of eco-city planning based on the distance measure to determine the reasonability of eco-city planning reduces the institutional and social costs of eco-city planning practices.

The purpose of this paper is to study the inhibitive property of the mixture of an imidazole derivative (IMA) and benzotriazole (BTA) to the copper in deionised water.

Static mass‐loss tests, electrochemical tests and surface analysis are used to study the inhibitive property of the mixture of an IMA and BTA to copper in deionised water.

There is a synergistic inhibitive effect on inhibition of the copper by the IMA and BTA in deionised water, and the mixture of the IMA and BTA is an effective inhibitor that mainly hinders the anode reaction.

The mixture of the IMA and BTA is an effective inhibitor and can be used to prevent copper from corrosion in deionised water.

The mixture of the IMA and BTA is an effective inhibitor and should be suitable for use in the cooling water of an electricity generator unit to prevent corrosion of the copper conductors.

To remain competitive in an unpredictable environment where the complexity and frequency of cybercrime are rapidly increasing, a cyber resiliency strategy is vital for business continuity. However, one of the barriers to improving cyber resilience is that security defense and accident recovery do not combine efficaciously, as embodied by emphasizing cyber security defense strategies, leaving firms ill-prepared to respond to attacks. The present study thus develops an expected resilience framework to assess cyber resilience, analyze cyber security defense and recovery investment strategies and balance security investment allocation strategies.

Based on the expected utility theory, this paper presents an expected resilience framework, including an expected investment resilience model and an expected profit resilience model that directly addresses the optimal joint investment decisions between defense and recovery. The effects of linear and nonlinear recovery functions, risk interdependence and cyber insurance on defense and recovery investment are also analyzed.

According to the findings, increasing the defense investment coefficient reduces defense and recovery investment while increasing the expected resilience. The nonlinear recovery function requires a smaller defense investment and overall security investment than the linear one, reflecting the former’s advantages in lowering cybersecurity costs. Moreover, risk interdependence has positive externalities for boosting defense and recovery investment, meaning that the expected profit resilience model can reduce free-riding behavior in security investments. Insurance creates moral hazard for firms by lowering defensive investment, yet after purchasing insurance, expanded coverage and cost-effectiveness incentivize firms to increase defense and recovery spending, respectively.

The paper is innovative in its methodology as it offers an expected cyber resilience framework for integrating defense and recovery investment and their effects on security investment allocation, which is crucial for building cybersecurity resilience but receives little attention in cybersecurity economics. It also provides theoretical advances for cyber resilience assessment and optimum investment allocation in other fields, such as cyber-physical systems, power and water infrastructure – moving from a resilience triangle metric to an expected utility theory-based method.

This study investigates the possible curvilinear relationship between operational interdependency and supply chain performance as well as the contingency effect of supply chain disruptions, in terms of disruption orientation and disruption impact.

Path analysis was employed to test the hypotheses using the data collected from Chinese manufacturers.

The results confirm an inverted U-shape effect of operational interdependency. As level of buyer-supplier operational dependency increase, the supply chain performance is enhanced. However, the benefits of operational interdependency diminish beyond a certain point. Additionally, the findings of this study show the disruption orientations positively moderate the relationship between interdependency and performance, whereas the effect of disruption impact is not significant.

The findings of this study provide an explanation to the theoretical gap about the equivocal results of the effect of dependency, which provide new insights into the literature regarding buyer-supplier relationships. Furthermore, this paper identifies the moderating role of supply chain disruption in the relationship between operational interdependency and supply chain performance, which provide further explanation about the mixed results of the effect of dependency. The results confirmed that supply chain disruption orientation positively moderate the relationship between operational interdependency and supply chain performance.

The rationality of the selection and application of policy instruments in current policy schemes for promoting the development of low-carbon eco-cities in China is examined and, in view of existing problems, effective suggestions for scientifically and reasonably organizing and designing policy instruments are proposed, which is of great significance to optimize the policy system for the development of low-carbon eco-cities in China and thereby promote sustainable urban development.

In the study, using 117 policy documents focusing on the development of low-carbon eco-cities issued by the Chinese central government as well as the relevant ministries and commissions between 2010 and 2019 and comprehensively adopting bibliometric and content analysis methods, the contents of policy documents are quantitatively analyzed from three dimensions: policy instrument, policy area and policy target.

The study finds the following. Ecological environment and low-carbon development are the focus of policy attention. Policy-promulgating institutions have formed a core subnetwork, that is, an “iron triangle.” There exists a structural imbalance in the use of policy instruments, and the distribution of policy instruments in different policy areas exhibits significant differentiating characteristics. Driven by different policy targets, the proportion of the policy instrument types adopted by the government is constantly changing. According to these findings, suggestions are put forward to optimize China's low-carbon eco-city development policy.

(1) A three-dimensional policy analysis framework is conducted from the perspective of policy instrument, which is innovative in theory. (2) This paper finds the selective utilization rationality and evolution rule of China's low-carbon eco-city development policy instruments. (3) Recommendations on optimizing China's low-carbon eco-city development policies are discussed systematically, which plays a theoretical guiding role in optimizing the development policies of low-carbon eco-cities in China.

This study aims to examine the impact of the supplier's coercive and cognitive pressures on a manufacturer's green purchasing decision-making process and the resultant implications in terms of operational and environmental performances.

Path analysis is performed to test the hypothesized linkages.

This study finds that the supplier's coercive pressure, environmental focus and socio-cultural responsibility will lead a firm to more successful implementations of green purchasing, which, in turn, results in improved operational and environmental performances. The study findings reveal that the commercial values of green purchasing in addition to social and political obligations will promote the adoption of green purchasing in supply chain management practice.

This study helps business managers understand the impacts of the supplier's coercive and cognitive pressures on green purchasing and the manufacturer's resultant performances. In particular, coercive pressure is operationalized by the supplier's coercive pressure and environmental regulatory pressure, while cognitive pressure is reflected in the supplier's environmental focus and socio-cultural responsibility. This study contributes to the extant theories and enriches the literature on green purchasing.