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The purpose of this paper is to analyze the linear and nonlinear effects of market integration on carbon emissions and explore the direct and indirect paths of market integration on carbon emissions through path analysis.

The authors first conduct a measurement and contrastive study of the market integration and carbon emissions of China’s 28 provinces from year 1995 to 2015. Then, the linear effect of market integration on carbon emissions is analyzed by using the fixed-effect model. Next, based on the path analysis method, the direct and indirect paths of market integration’s impact on carbon emissions are explored. Finally, the panel threshold regression model is used to evaluate the effect of market integration on carbon emissions under different situations of geographic distance.

The results show that first, the improvement of market integration can increase carbon emissions in the form of a linear relationship. Second, market integration not only has a direct and positive impact on the carbon emissions, but also has an indirect and positive impact on carbon emissions through the level of economic development, and a negative impact on carbon emissions through technological level. Third, an increase in market integration can reduce its positive effect on carbon emissions, but the improvement of economic growth and technology level can both enhance the positive effect of market integration on carbon emissions.

This paper focuses on the impact of market integration on carbon emissions in 30 provinces in China, while, the authors do not conduct a comparative analysis of different regions, so there are certain limitations. In addition, policy interaction between regional governments is also a key factor affecting carbon emissions, but this paper does not consider the effect of policy interaction, future follow-up research will try to incorporate it into the analytical models.

An important practical implication of this research is that market integration should be regarded highly in China’s energy conservation and emission reduction efforts. The research results have important reference value for policy authorities to formulate relevant policies. That is, the government can play a more active role in the process of integration through breaking the regional blockade and interest barriers to comprehensively improve resource utilization efficiency and technical level, and ultimately achieve regional low-carbon development.

This paper explores the effects of market integration on China’s carbon emissions based on different methods and perspectives, and confirms that market integration plays a vital role in China’s carbon emissions through economic growth and technological progress. Notably, based on the studied results, some specific and practical suggestions are proposed in this paper so as to reduce carbon emission and realize the sustainable development of economy and society in China.

The purpose of this paper is to explore the dynamic influence of WTI crude oil returns on the stock returns of China’s traditional energy sectors, including oil and gas exploitation, coal mining and processing, petroleum processing and coking, electricity, heat production and supply and mining services.

Hong’s information spill-over test and the DP Granger causality test are applied to investigate the relationship between the two markets. Moreover, a rolling window is introduced into the above two tests to capture time-varying characteristics of the influence of WTI crude oil returns.

The empirical results indicate that, first, there exists significant bidirectional linear causality between WTI crude oil returns and China’s traditional energy sectoral stock returns, but the nonlinear causality appears weaker. Second, the influence of WTI crude oil returns on traditional energy sectoral stock returns has time-varying characteristics and industry heterogeneity both in the linear and nonlinear cases. Finally, the decline of WTI crude oil prices may strengthen its linear influence on the stock returns of traditional energy sectors, while the excessive rise of market values in traditional energy sectors may weaken the linear and nonlinear influence of WTI on them.

The general nexus between international crude oil market and China’s traditional energy stock market is explored both in the linear and nonlinear perspectives. In particular, the dynamic linear and nonlinear influence of WTI crude oil returns on China’s traditional energy sectoral stock returns and its industry heterogeneity are analysed in detail.

This study aims to explore the spatial impact of an increase in the minimum wage on the labor productivity of star-rated hotels in China.

The impact is analyzed by using the dynamic spatial Durbin model.

The authors find a U-shaped link between the increase in minimum wage and labor productivity of star-rated hotels. The long-term impact of a minimum wage increase has a greater influence on labor productivity than its short-term effects. While there is no notable spatial spillover impact observed in the sample of 31 provinces in China, the authors do identify a spatial spillover effect of the minimum wage rises on the labor productivity of star-rated hotels in the central area. Furthermore, they observe heterogeneity across China. The eastern and western regions exhibit a U-shaped relationship, whereas the central region exhibits an inverted U-shaped relationship.

The findings of this study allow government agencies to get a more comprehensive comprehension of the actual consequences of minimum wage hikes on the tourism and hospitality sector, thereby establishing a solid basis for them to develop appropriate policies. Moreover, it offers a variety of suggestions aimed at enhancing the quality and efficiency of hotel management.

Research on the effects of minimum wage standards is scant in the hospitality industry. Based on human capital investment theory, this study examines the effect of the minimum wage standard hikes on labor productivity of star-rated hotels from the spatial perspective, filling the existing research gap.

Omnidirectional mobile platforms are still plagued by the problem of heading deviation. In four-Mecanum-wheel systems, this problem arises from the phenomena of dynamic imbalance and slip of the Mecanum wheels while driving. The purpose of this paper is to analyze the mechanism of omnidirectional motion using Mecanum wheels, with the aim of enhancing the heading precision. A proportional-integral-derivative (PID) setting control algorithm based on a radial basis function (RBF) neural network model is introduced.

In this study, the mechanism of omnidirectional motion using Mecanum wheels is analyzed, with the aim of enhancing the heading precision. A PID setting control algorithm based on an RBF neural network model is introduced. The algorithm is based on a kinematics model for an omnidirectional mobile platform and corrects the driving heading in real time. In this algorithm, the neural network RBF NN2 is used for identifying the state of the system, calculating the Jacobian information of the system and transmitting information to the neural network RBF NN1.

The network RBF NN1 calculates the deviations ?Kp, ?Ki and ?Kd to regulate the three coefficients Kp, Ki and Kd of the heading angle PID controller. This corrects the driving heading in real time, resolving the problems of low heading precision and unstable driving. The experimental data indicate that, for a externally imposed deviation in the heading angle of between 34º and ∼38°, the correction time for an omnidirectional mobile platform applying the algorithm during longitudinal driving is reduced by 1.4 s compared with the traditional PID control algorithm, while the overshoot angle is reduced by 7.4°; for lateral driving, the correction time is reduced by 1.4 s and the overshoot angle is reduced by 4.2°.

In this study, the mechanism of omnidirectional motion using Mecanum wheels is analyzed, with the aim of enhancing the heading precision. A PID setting control algorithm based on an RBF neural network model is introduced. The algorithm is based on a kinematics model for an omnidirectional mobile platform and corrects the driving heading in real time. In this algorithm, the neural network RBF NN2 is used for identifying the state of the system, calculating the Jacobian information of the system and transmitting information to the neural network RBF NN1. The method is innovative.

This study aims to provide a series of drivers that prompt the blockchain technology (BT) adoption decisions in circular supply chain finance (SCF) and also assesses their degrees of influence and interrelationships, which leads to the construction of a theoretical model depicting the influence mechanism of BT adoption decisions in circular SCF.

This study mainly uses the technology-organization-environment (TOE) framework, which focuses on the aspects based on the nature of innovation, intra-organizational characteristics and extra environmental consideration, to identify the drivers of blockchain adoption in circular SCF context, while the significance and causality of the drivers are explained using interpreting structural models (ISMs) and the decision-making trial and evaluation laboratory (DEMATEL) method.

The findings of this study indicate that government policy and technological comparative advantage are the underlying reasons for BT adoption decisions, management commitment and financial expectations are the critical drivers of BT adoption decisions while other factors are the receivers of the mechanism.

This study provides theoretical references and empirical insights that influence the technology adoption decisions of both BT and circular SCF by practitioners.

The theoretical research contributes significantly to current research and knowledge in both BT and circular SCF fields, especially by extending the existing TOE model by combining relevant enablers from technological, organizational and external environmental aspects with the financial performance objectives of circular SCF services, which refer to the optimization of the financial resources flows and financing efficiency.

Risk aversion is considered as an important factor in predicting asset prices. Many studies have proved that there exists important price information spillover among crude oil, precious metals and agricultural markets. Then there naturally follows the question: Is the risk aversion of investors in crude oil market predictable for the returns of precious metals and agricultural products? The purpose of this paper is to answer this question. For this reason, the authors explore the directional predictability and the cross-quantile dependence between risk aversion of crude oil market investors and returns of precious metals and agricultural products.

To better describe the risk aversion of investors, this paper uses high-frequency data and model-free calculation method to obtain variance risk premium of crude oil. Then, this paper uses the cross-quantilogram method to investigate the directional predictability and cross-quantile dependence between risk aversion of crude oil market investors and returns of precious metals and agricultural products. Meanwhile, it employs the partial cross-quantilogram (PCQ) method to test the impact of control variables on the empirical results.

Firstly, risk aversion of crude oil market investors has directional predictability for returns of precious metals and agricultural products. Secondly, different degrees of risk aversion of crude oil market investors have different impacts on returns of precious metals and agricultural products. A low (high) degree of crude oil market investors' risk aversion has negative (positive) predictability for returns of precious metals and agricultural products. Finally, during the sample period, the returns of precious metals are more affected by risk aversion of crude oil market investors than returns of agricultural products.

First of all, this paper studies the impact of risk aversion of crude oil market investors on returns of precious metals and agricultural products. It updates previous relevant studies on the factors influencing the prices of precious metals and agricultural products, and provides a new idea for the forecast of those commodity returns. Secondly, this paper provides the evidence that different degrees of risk aversion of investors have different effects on the returns of commodities, and expands the research on the topic of commodity returns prediction. Finally, high-frequency data are employed in this paper to better capture the risk aversion of investors than commonly used daily data.

This study uses third-person effect theory to examine the mechanisms of public opinion about self-regulatory efforts to deal with COVID-19 vaccine-related misinformation on social media, focusing on the roles of social undesirability perceptions and misinformation beliefs.

A national survey of 600 US adults from the Qualtrics panel was conducted. The study examines how perceived social desirability and misinformation beliefs moderate the relationship between exposure to misinformation and behavioral responses.

The results show that the perceived disparity in misinformation exposure relates to third-person perception (TPP), which increases support for content moderation and intentions for corrective actions. Perceiving misinformation as socially undesirable strengthens the link between the exposure gap and TPP. Individual beliefs about misinformation are identified as a crucial moderator, reducing the TPP effect on those who have high misinformation beliefs, leading to less support for content moderation and corrective actions.

This research enhances understanding of TPP in the context of COVID-19 vaccine misinformation by highlighting how social undesirability perceptions and misinformation beliefs moderate this effect. It emphasizes the significance of personal misinformation beliefs in shaping attitudes toward content moderation and corrective actions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2024-0220

This study aims to explore the influence of postdisaster tourism development on the objective quality of life (QoL) of residents in Wenchuan County, simulate the long-run trend of postdisaster tourism development and QoL based on three proposed policy scenarios and formulate some practical suggestions to promote sustainable tourism development.

This study uses the system dynamic approach to develop a system dynamics (SD) model called “tourism–economy–environment–living” (TEEL) by using four subsystems: “the economic subsystem,” “the tourism subsystem,” “the environmental subsystem” and “the living subsystem.”

The results show that the influence of postdisaster tourism development on QoL is complex. Based on Butler’s destination life cycle theory, the influence of postdisaster tourism on objective QoL exhibits a nonlinear change closely tied to the development stages of tourist destinations. It showed that the QoL index increased after an initial decrease in the early stage (2009–2013) and then decreased in the later stage (2013–2019). Simulations of TEEL based on three different scenarios show that the current development path of tourism development is not ideal. The synergy scenario, highlighting the importance of the harmonious development of the TEEL, is the optimal scenario.

This study fills the gap in the literature on the influence of postdisaster tourism development on objective QoL from the perspective of SD. Modeling tourism development and objective QoL will contribute to a comprehensive understanding of whether and how tourism development can enhance residents’ QoL in disaster-affected areas.

本研究旨在探讨灾后旅游发展对汶川县居民客观生活质量（QoL）的影响, 并基于三种拟议的政策情景模拟灾后旅游发展和生活质量的长期演化趋势, 并制定一些切实可行的建议, 以促进旅游业的可持续发展。

本研究运用系统动力学方法, 通过使用四个子系统, 即“经济子系统”、“旅游子系统”“环境子系统”和“生活子系统”, 建立了一个称为“旅游-经济-环境-生活”（TEEL）的系统动力学模型。

研究结果表明, 灾后旅游发展对客观QoL的影响是复杂的。根据巴特勒的目的地生命周期理论, 灾后旅游对目标QoL的影响呈现非线性变化, 与旅游目的地的发展阶段密切相关。结果表明, QoL指数在前期（2009–2013年）出现初始下降后上升, 而后在后期（2013–2019年）下降。基于三种不同方案的TEEL模拟表明, 当前旅游发展路径并非最佳。协同方案强调了TEEL和谐发展的重要性, 是在所有方案中最佳。

本研究填补了从系统动力学角度研究灾后旅游发展对客观生活质量QoL影响的文献空白。构建旅游发展和客观QoL的系统动力模型将有助于全面了解旅游发展是否以及如何提高灾区居民的生活质量。

Este estudio tiene por objetivo explorar la influencia del desarrollo del turismo post-catástrofe en la calidad de vida (CdV) objetiva de los residentes del condado de Wenchuan, simular la tendencia a largo plazo del desarrollo del turismo tras la catástrofe y la CdV basándose en tres escenarios políticos propuestos, y formular algunas sugerencias prácticas para promover el desarrollo del turismo sostenible.o.

Este estudio utiliza el enfoque de dinámica de sistemas para desarrollar un modelo de dinámica de sistemas denominado “turismo-economía-medioambiente-vida” (TEMV) utilizando cuatro subsistemas: “el subsistema económico”, “el subsistema turístico”, “el subsistema medioambiental” y “el subsistema de vida”.

Los resultados muestran que la influencia del desarrollo del turismo post-catástrofe en la CdV objetiva es compleja. Basándose en la teoría de Butler sobre el ciclo de vida del destino, la influencia del turismo post-catástrofe en la CdV objetiva presenta un cambio no lineal estrechamente vinculado a las etapas de desarrollo de los destinos turísticos. Se demuestra que el índice de CdV aumentó después de una disminución inicial en la primera etapa (2009-2013) y luego disminuyó en la etapa posterior (2013-2019). Las simulaciones de TEMV basadas en tres escenarios diferentes muestran que la actual trayectoria de desarrollo del turismo no es ideal. El escenario de sinergia, que destaca la importancia del desarrollo armonioso del TEMV, es el escenario óptimo.

Este estudio llena la brecha existente en la literatura sobre la influencia del desarrollo del turismo post-catástrofe en la calidad de vida (CdV) objetiva desde la perspectiva de la dinámica de sistemas. La modelización del desarrollo turístico y la CdV objetiva contribuirá a una comprensión integral de si el desarrollo turístico puede mejorar, y cómo, la CdV de los residentes en las zonas afectadas por catástrofes

The purpose of this paper is to propose a size-changing method with three-dimensional (3D) garment modeling for various body sizes considering vertical body proportions in addition to horizontal dimensions, while preserving the silhouette and ease of the original garment.

Cross-sectional dimensions and shapes of one dress form (the standard body) and jacket bodice were obtained by 3D scanning. The authors calculated horizontal multiplication factors of the relationship between the standard body and jacket bodice, and vertical body proportions. A target dress form was deformed using multiplication factors and vertical body proportions to construct a garment model that fitted the dress form. The method was verified using three different dress forms. The bodices of the jackets were compared with those obtained without adjusting vertical proportions.

Employing the proposed method, jacket bodices were made and fitted on target bodies while preserving the original shape. Jackets bodices made without considering vertical proportions had many wrinkles and deformed shape and poor fit around the bust line owing to the different vertical proportions. The vertical proportion is thus an important factor in the 3D garment modeling of garments of different size fitted on a body.

The proposed method is a new size-changing or grading method for a bodice that preserves the original silhouette.

The proposed modeling method allows the construction of jacket bodice models and jackets of different size considering vertical body proportions. The method is applicable when making individually tailored garments or ready-to-wear garments for different targets.

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.