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The purpose of this study is to examine the impact of experience dimensions on the engagement in pro-environmental behaviour (PEB) within nature-based tourism in China. The focus was on sustainable/responsible consumer behaviour by the Chinese Gen Z (18–26 years).

Firstly, a conceptual model was suggested, drawn on experiential marketing approach. Secondly, an empirical study (online survey) with a sample of 580 young persons was conducted and data were analysed using structural equation modeling (SEM).

It was revealed that the act and feel dimensions significantly influence experiential value (EV), and EV positively affects satisfaction, significantly impacting arousal and memory. Positive outcomes of experience impact Gen Z members’ engagement in PEBs. Furthermore, arousal and memory play a similar and partial mediating role between satisfaction and engagement in PEB.

The insights gained give support and guidance to tourism destinations and suppliers to promote environmentally friendly behaviour among tourists. This understanding is valuable and useful to industry practitioners in elaborating and implementing the appropriate strategies to stimulate, motivate and promote tourists’ PEB.

This study elaborates an integrative framework, drawn on a marketing approach and establishing a relationship between experiential dimensions and engagement in PEB through the mediating factors of perceived EV, satisfaction, memory and arousal. It provides tourism researchers with new perspective and insights on tourism experience and consumption behaviour.

本研究证实了体验维度对于中国自然旅游地游客的亲环境旅游行为(PEB)的影响。研究对象聚焦于中国Z世代(18 至26 岁)游客的亲环境行为。

本研究基于体验营销, 提出了一个概念模型, 对580名Z世代游客进行了实证研究(在线调查), 并采用结构方程模型（SEM）对数据进行分析。

结果表明, 行动维度和情感维度显著影响体验价值, 体验价值正向影响满意度, 满意度显著影响唤醒度和记忆。体验后的积极结果会影响Z世代游客的亲环境行为的参与。此外, 唤醒度和记忆在满意度和亲环境行为参与之间起平行的部分中介作用。

研究结果可为旅游目的地的管理者和从业者提供借鉴和参考, 以促进游客的环保行为。这对于旅游业从业者制定和采取恰当的策略来促进和激励游客的亲环境行为也具有重要意义。

本研究基于营销方法, 构建了一个整合框架, 并通过体验价值、满意度, 记忆和唤醒度等中介, 建构了体验维度和参与亲环境行为之间的关系, 拓展了旅游体验及消费行为的研究视角。

El propósito de este estudio fue examinar el impacto de las dimensiones de la experiencia en el comportamiento turístico proambiental (CTP) en el turismo de naturaleza en China, centrándose en el comportamiento sostenible y responsable de la Generación Z china (entre 18 y 26 años).

Se propuso un modelo conceptual basado en el enfoque del marketing experiencial. Posteriormente, se llevó a cabo un estudio empírico mediante una encuesta en línea a 580 jóvenes, y los datos obtenidos se analizaron utilizando SEM (Modelado de Ecuaciones Estructurales).

Se encontró que las dimensiones “actuar” y “sentir” tienen una influencia significativa en el valor experiencial, y este último impacta positivamente en la satisfacción, lo cual a su vez influye en la excitación y la memoria. Los resultados positivos de la experiencia turística tienen un efecto en el compromiso de los miembros de la Generación Z con el comportamiento turístico proambiental. Además, tanto la excitación como la memoria desempeñan un papel parcialmente mediador entre la satisfacción y el compromiso en el CTP.

Los conocimientos obtenidos en este estudio brindan apoyo y orientación a los actores del sector turístico para fomentar un comportamiento respetuoso con el medio ambiente entre los turistas y visitantes. Esta comprensión es valiosa y útil para los profesionales del sector al diseñar e implementar estrategias adecuadas que estimulen, motiven y promuevan el comportamiento turístico proambiental.

Este estudio presenta un marco integrador basado en el enfoque del marketing experiencial, estableciendo una relación entre las dimensiones experienciales y el compromiso en el CTP a través de factores mediadores como el valor experiencial percibido, la satisfacción, la memoria y la excitación. Proporciona a los investigadores del turismo una nueva perspectiva y conocimientos sobre la experiencia turística y el comportamiento de consumo.

This chapter aims to present the key issues and main aspects of risk management (RM), as they relate to tourism entrepreneurship, with a focus on the RM plan and the various strategies used in controlling risks.

Literature review was conducted and managerial issues and aspects regarding RM in tourism entrepreneurship were highlighted. These issues were illustrated by one example and two case studies from the business world.

This chapter suggests that every probable risk must have a pre-formulated plan to deal with its possible consequences. In the field of tourism entrepreneurship, the elimination of risk by putting safety measures in place is not simply achieved by taking precautions in a haphazard manner. Rather, these tasks require a proactive approach, an intricate and logical plan.

This chapter is explorative in nature, based on a literature review and case study analysis. It takes more entrepreneurial/practical than academic approach.

This chapter provides RM process as a generic framework for entrepreneurs/managers in the identification, analysis, assessment, treatment and monitoring of risk related to their business ventures. It also suggests the appropriate steps to follow to efficiently managing risks. Every tourism enterprise should have a strategy and an emergency/contingency plan to address risks.

This chapter outlines, in a comprehensive and practical way, a strategic approach to risk management for the tourism enterprises. It also highlights the importance and utility of planning and implementing of a suitable strategy to effectively address business-related risks.

This paper aims to provide decision support for precast concrete contractors about both precast concrete supply chain strategies and construction configurations.

This paper proposes a simulation-based optimisation for supply chain and construction (SOSC) during the planning phase of PC building projects. The discrete event simulation is used to capture the characteristics of supply chain and construction processes, and calculate construction objectives under different plans. Particle swarm optimisation is combined with simulation to find optimal supply chain strategies and construction configurations.

The efficiency of SOSC is compared with the parametric simulation approach. Over 70 per cent of time and effort used to simulate and compare alternative plans is saved owing to SOSC.

Building simulation model costs a lot of time and effort. The data requirement of the proposed method is high.

The proposed SOSC approach can provide decision support for PC contractors by optimising supply chain strategies and construction configurations.

This paper has two contributions: one is in providing a decision support tool SOSC to optimise both supply chain strategies and construction configurations, while the other is in building a prototype of SOSC and testing it in a case study.

The purpose of this paper is to measure the high-quality development level of China's marine economy and analyze corresponding spatial and temporal distribution characteristic.

Design and optimize the index system of high-quality development level of marine economy and use entropy and TOPSIS method for comprehensive evaluation.

The research finds that from 2017 to 2019, the high-quality development tendency of China's marine economy is on the rise, but the overall level is still low. The level of each subsystem has different distribution characteristics in different provinces and cities. Guangdong, Shandong and Shanghai have a high comprehensive level. According to the comprehensive level of high-quality development of marine economy, 11 coastal provinces are divided into three types: leading, general and backward.

This paper clarifies the temporal and spatial distribution law of high-quality development level of China's marine economy, providing basis for promoting comprehensive and coordinated improvement of coastal provinces and cities.

An indicator system for the high-quality development level of the marine economy has been established, including social development guarantee, marine economic foundation, marine science and technology drive and green marine sustainability.

Simulation-based optimisation (SO) is a popular optimisation approach for building and civil engineering construction planning. However, in the framework of SO, the simulation is continuously invoked during the optimisation trajectory, which increases the computational loads to levels unrealistic for timely construction decisions. Modification on the optimisation settings such as reducing searching ability is a popular method to address this challenge, but the quality measurement of the obtained optimal decisions, also termed as optimisation quality, is also reduced by this setting. Therefore, this study aims to develop an optimisation approach for construction planning that reduces the high computational loads of SO and provides reliable optimisation quality simultaneously.

This study proposes the optimisation approach by modifying the SO framework through establishing an embedded connection between simulation and optimisation technologies. This approach reduces the computational loads and ensures the optimisation quality associated with the conventional SO approach by accurately learning the knowledge from construction simulations using embedded ensemble learning algorithms, which automatically provides efficient and reliable fitness evaluations for optimisation iterations.

A large-scale project application shows that the proposed approach was able to reduce computational loads of SO by approximately 90%. Meanwhile, the proposed approach outperformed SO in terms of optimisation quality when the optimisation has limited searching ability.

The core contribution of this research is to provide an innovative method that improves efficiency and ensures effectiveness, simultaneously, of the well-known SO approach in construction applications. The proposed method is an alternative approach to SO that can run on standard computing platforms and support nearly real-time construction on-site decision-making.

This study aims to the service life of TA15 alloy by solving the problem of the binding force between the matrix and AlTiSiN coating. The effect of a plasma nitriding (PN) interlayer on the magnetron-sputtered AlTiSiN coating was also investigated in detail.

The double-glow plasma alloying (DGPA) and magnetron sputtering (MS) techniques were combined as a new approach to realize a bilayer on TA15 consisting of an AlTiSiN layer with a PN interlayer. A TiN interlayer was formed via co-diffusion during the PN conducted at 1050°C for 3 h.

The PN interlayer can effectively improve the adhesion between coating and matrix; the PN/AlTiSiN coating presented excellent adhesion (80.1 N) and anti-wear property with a nano-hardness of 18.62 GPa. The resulting three-dimensional wear-track morphology exhibited a shallow depth and a narrow width.

The novel combination of the DGPA and MS technologies, using an infiltration layer rather than a coating one as the intermediate layer, can effectively enhance the adhesion between AlTiSiN coating and TA15 matrix. Meanwhile, the gradient layer can effectively improve both surface bearing and wear resistance.

China has proposed two-stage goals of carbon peaking by 2030 and carbon neutralization by 2060. The carbon emission reduction effect of the power industry, especially the thermal power industry, will directly affect the progress of the goal. This paper aims to reveal the spatial-temporal characteristics and influencing factors of carbon emission efficiency of the thermal power industry and proposes policy suggestions for realizing China’s carbon peak and carbon neutralization goals.

This paper evaluates and compares the carbon emission efficiency of the thermal power industry in 29 provinces and regions in China from 2014 to 2019 based on the three-stage slacks-based measure (SBM) of efficiency in data envelopment analysis (DEA) model of undesired output, excluding the influence of environmental factors and random errors.

Empirical results show that during the sample period, the carbon emission efficiency of China’s thermal power industry shows a fluctuating upward trend, and the carbon emission efficiency varies greatly among the provincial regions. The carbon emission efficiency of the interregional thermal power industry presents a pattern of “eastern > central > western,” which is consistent with the level of regional economic development. Environmental factors such as economic level and environmental regulation level are conducive to the improvement of carbon emission efficiency of the thermal power industry, but the proportion of thermal power generation and industrial structure is the opposite.

This paper adopts the three-stage SBM–DEA model of undesired output and takes CO₂ as the undesired output to reveal the spatial-temporal characteristics and influencing factors of carbon emission efficiency in China’s thermal power industry. The results provide a more comprehensive perspective for regional comparative evaluation and influencing factors of carbon emission efficiency in China’s thermal power industry.