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This paper aims to measure Chinese regional thermal industries’ evolution.

This paper uses data envelopment analysis (DEA) and global Malmquist–Luenberger productivity (GMLP) index.

The results reveal that the development of Chinese thermal power industry varies significantly in different regions, and it is highly correlated with the level of local economic development. Although the change of technical efficiency and scale efficiency had different impacts on different regions from year to year, the overall GMLP index change shows a close relationship with the contemporaneous frontier shift.

The results indicate that the Chinese Government should make efforts to promote its policy implementations and regulations in thermal industries so that the contemporaneous frontier will shift toward the global technology frontier with more desirable outputs and less undesirable outputs.

As an application, this study uses DEA and GMLP index to measure the productivity of Chinese thermal industries in 30 Chinese provinces from 2006 to 2013. The results have the meaningful policy implications for decision makers in charge of Chinese thermal industries.

The purpose of this study is to test the theoretical framework of lettering case, color temperature, perceived trustworthiness and investment intentions. First, it aims to test whether the effect of lettering case on investment intentions is mediated by trustworthiness. Second, the study will examine if this process is moderated by color temperature.

Following the behavioral research method, this study employed a 2 (the fully-lowercase slogan vs the initial-uppercase slogan) by 2 (warm-color design vs cool-color design) full factorial between-subject design. Two hundred participants were recruited for the experiment to test the hypotheses.

For the lowercase slogans (vs uppercase slogans), we found that people tended to have a high level of perceived trustworthiness, which led to a high level of investment intentions. In addition, the indirect effect of the lettering case on investment intentions through the perceived trustworthiness was moderated by color temperature. Specifically, the visually warm advertisement (vs visually cool design) would strengthen the effect of lowercase slogans on customers' investment intentions.

When people make a financial decision with limited, incomplete or overly complex information, simplified visual heuristics, rather than rational algorithmic processing, play a significant role in their decision-making process. However, only a limited amount of research has addressed the effect of the lettering case on customers' perceptions and the consequent decision-making process from a financial advertising perspective. This study tries to supplement and extend the visual heuristics theory, highlighting the role of simplified heuristics, rather than rational algorithmic processing, in financial customers' decision-making process.

Drawing on goal orientation theory, this study intends to investigate whether, how and when developmental leadership influences employees’ feedback seeking behavior (FSB) and feedback avoidance behavior (FAB).

The authors used a two-wave survey of 416 full-time employees in China. The hypotheses were tested with path analyses.

Developmental leadership exerts a positive influence on employees’ FSB and a negative impact on FAB through learning goal orientation (LGO). Additionally, leaders’ high performance expectations (LHPE) not only strengthen the positive effects of developmental leadership on FSB but also intensify its weakening effects on FAB.

The findings enrich current understanding by associating developmental leadership with employees’ FSB/FAB, offering a new viewpoint on its positive impacts. This study also provides deeper insights into when the benefits of developmental leadership are intensified.

This study examines the relationship between brand digitalization and brand market performance, mediated by brand competence and brand warmth and moderated by brand familiarity, from a consumer perspective.

This study conducted a 2 (brand digitalization: yes vs no) × 2 (brand familiarity: high vs low) between-subject experiment and administered a survey with 693 valid responses. Two-way analysis of variance, Hayes' PROCESS macro and a linear regression model were used to analyze the data.

Brand digitalization positively affects brand market performance, which is mediated by brand competence and brand warmth. In addition, brand familiarity has a moderating effect on the relationship between brand digitalization and brand market performance, as well as on the mediating effect of brand competence and brand warmth.

Brand managers should enhance the integration of digital technologies into brand building and management and develop brand communication strategies that emphasize brand digitalization based on consumers' brand familiarity.

This study advances current knowledge of the drivers of brand performance by constructing the concept of brand digitalization and examining its role in improving brand market performance. Additionally, this study deepens our understanding of the relationship between digital technology usage and consumer brand response by examining the mediating effect of brand competence and brand warmth and the moderating effect of brand familiarity.

This paper aims to improve the kinematic modeling accuracy of a spatial three-degrees-of-freedom compliant micro-motion parallel mechanism by proposing a modified modeling method based on the structural matrix method (SMM).

This paper analyzes the problem that the torsional compliance equation of the circular notched hinge is no longer applicable because it is subject to bilateral restrained torsion. The torsional compliance equation is modified by introducing the relative length coefficient. The input coupling effect, which is often neglected, is considered in kinematic modeling. The symbolic expression of the input coupling matrix is obtained. Theory, simulation and experimentation are presented to show the validity of the proposed kinematic model.

The results show that the proposed kinematics model can improve the modeling accuracy by comparing the theoretical, finite element method (FEM) and experimental method.

This work provides a feasible scheme for CMPM kinematics modeling. It can be better applied to the optimization design based on the kinematic model in the future.

The need for infrastructure is growing as urbanization picks up speed, and the infrastructure REITs financing model has been crucial in reviving the vast infrastructure stock, alleviating the pressure on government funds and diversifying investment entities. This study aims to propose a framework to better assess the risks of infrastructure REITs, which can serve for the researchers and the policy makers to propose risk mitigation strategies and policy recommendations more purposively to facilitate successful implementation and long-term development of infrastructure REITs.

The infrastructure REITs risk evaluation index system is established through literature review and factor analysis, and the optimal comprehensive weight of the index is calculated using the combination weight. Then, a risk evaluation cloud model of infrastructure REITs is constructed, and experts quantify the qualitative language of infrastructure REITs risks. This paper verifies the feasibility and effectiveness of the model by taking a basic REITs project in China as an example. This paper takes infrastructure REITs project in China as an example, to verify the feasibility and effectiveness of the cloud evaluation method.

The research outcome shows that infrastructure REITs risks manifest in the risk of policy and legal, underlying asset, market, operational and credit. The main influencing factors in terms of their weights are tax policy risk, operation and management risk, liquidity risk, termination risk and default risk. The financing project is at a higher risk, and the probability of risk is 64.2%.

This research contributes to the existing body of knowledge by supplementing a set of scientific and practical risk evaluation methods to assess the potential risks of infrastructure REITs project, which contributes the infrastructure financing risk management system. Identify key risk factors for infrastructure REITs with underlying assets, which contributes to infrastructure REITs project management. This research can help relevant stakeholders to control risks throughout the infrastructure investment and financing life cycle, provide them with reference for investment and financing decision-making and promote more sustainable and healthy development of infrastructure REITs in developing countries.

The authors investigate the extent to which differences in provincial union legislation have impacts on the union earnings premium.

Content analysis of provincial union regulations of 25 provinces is conducted to create two indices: one reflecting the degree of stringency of the local requirement that unions be established in a timely fashion and the other reflecting requirements for employers to negotiate wages with the union. The authors use individual level data from the China Family Panel Studies (CFPS) of 2010 to estimate the union earnings premium.

The authors find that unionised workers in China receive an earnings premium ranging from 6.4 to 9.6%, which is in range of other studies (but not all) for China that tend to find a (perhaps surprising) union wage premium in spite of the fact that unions tend to be “company unions” designed to foster stability and growth and to serve as a transmission belt for the wishes of the Party rather than bargaining for the benefit of their members. The authors also find that provincial requirements to establish unions in a timely fashion enhance the impact of unions on the earnings of their members, but provincial requirements to negotiate wages dampen the effect of unions on the earnings of their members. Reasons for these results are discussed.

Despite this lack of independence of the Chinese unions, research continuously finds that Chinese unions have effects that are surprisingly similar to those of unions in Western countries. This paper drills deeper into the underlying mechanisms to see if local union strategies, exemplified by provincial union legislation, can explain the unexpected union effects on compensation. To the authors’ knowledge, this is the first paper to do so. Moreover, the authors use individual-level data in contrast to most studies on China that use firm or provincial level aggregate data.

This study examines whether consumer brand engagement (CBE) can mitigate the negative effects of economic animosity (EA) on purchase intention (PI) and strengthen the positive effect of country-of-origin (COO) on PI.

Using questionnaires distributed to 372 young Chinese adults, the study collected PI data for US products in the Chinese market. Partial least square structural equation modeling was adopted.

This study found a positive relationship between COO and CBE and a negative relationship between EA and CBE. CBE exhibits a partial mediating effect in the relationship between COO and PI and a full suppression effect on EA toward PI.

This research is limited to China; future research could extend this framework to the United States.

This study contributes to relationship marketing knowledge. Furthermore, it provides new tools for multinational corporations to deploy their marketing strategies and avoid negative consequences stemming from the EA effect in the Chinese market following the US–China trade war.

This study is the first to extend COO and EA research to CBE discipline.

This study aims to use fractal theory to investigate the contact mechanics of two bidirectional anisotropic surfaces, taking into account the friction coefficient of the contact interface. This study introduces a model that centers on normal contact load and contact stiffness, providing an extensive framework to elucidate the interactions between these surfaces.

The research adopts the Weierstrass–Mandelbrot (W-M) function for simulating bidirectional surface profiles. Through the application of elastic-plastic contact theory, it evaluates the contact area and load of a singular asperity across elasticity, elastoplasticity and plasticity phases. The contact load and stiffness of the rough surface are determined using a refined asperity density distribution function, and these findings are juxtaposed with extant models to validate their precision and rationality.

The study delineates the influence of fractal dimension (D), surface roughness (G), ellipse eccentricity (e) and friction coefficient (µ) on the contact area, load and stiffness. It reveals that the contact area enlarges with the fractal dimension (D) yet diminishes with increased eccentricity (e), roughness (G) and friction coefficient (µ). These elements considerably affect the contact load and stiffness, underscoring their significance in comprehending surface interactions.

This study applies fractal theory to analyze the contact mechanics of bidirectional anisotropic surfaces, considering the geometry and mechanics of ellipsoidal asperities on rough surfaces to develop a contact mechanics model. This model clarifies the deformation of an asperity in normal contact, presenting a more rational alternative to current models.

The purpose of this paper is to use Dextrofosfomysin levophenethylamine salt to prepare HEHSPN-(Na)₂ (HSPN), a new corrosion inhibitor containing sulfur.

The inhibition efficiency for Q235 steel in hydrochloric acid has been evaluated by weight-loss test, potentiodynamic polarization and electrochemical impedance spectroscopy (EIS) techniques. Surface studies were performed by Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM).

The results show that inhibition efficiency of HSPN increases with an increase in concentration. Adsorption conforms to Flory–Huggins uniform temperature equation, which is multi-molecular layer adsorption and belongs to physical adsorption.

This paper is intended to be added to the family of papers that deal with green corrosion inhibitors which are highly efficient and can be used in the area of corrosion prevention and control.