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This study aims to understand how retailscape of pop-up stores could influence young Chinese tourists’ emotional response and their subsequent shopping intention in the context of luxury retailing.

A quantitative approach was chosen. Building on the theoretical framework of the stimulus–organism–response (S–O–R) theory, a pop-up store retailscape behavior model was developed to explore the effect of retailscape on young Chinese tourists’ emotional response and patronage intention in a luxury retail setting. In total, 226 structured questionnaires were collected onsite.

The multiple regression analysis reveals that a luxury pop-up store’s retailscape has a positive influence on young Chinese tourists’ emotional response, but it only has a partial influence on their patronage intention. In addition, the result suggests that young Chinese tourists’ emotional response positively influences their patronage intention in luxury pop-up stores.

The study reveals how retailscape influences behavior among the younger generation, and the results provide important references for the luxury retailers in future design and management of pop-up stores so as to attract and retain the interest of the younger generation.

This study puts retailscape effect under scrutiny in the context of luxury pop-up stores which attract young Chinese tourists, who are regarded as one of the major patrons supporting exclusive retail brands in the world. The stimuli element in the S–O–R model is, thus, reexamined in the context of luxury pop-up stores.

This study aims to investigate the most effective approach for governments and enterprises to combat desertification by considering the governance cycle. The focus is on understanding how the government can incentivize enterprises to actively engage in desertification combat efforts.

Both the government and the enterprise are treated as rational entities, making strategic choices for joint participation in combating desertification. Recognizing the dynamic nature of the desertification combat area, differential game models are employed to identify the optimal mode for combating desertification.

The findings underscore the significant influence of the governance cycle duration on the selection of desertification combat modes for government and enterprise. A cooperative mode is best suited to a short governance cycle, while an ecological subsidy mode is optimal for a longer cycle. Enhancing governance technology and shortening the governance cycle are conducive to combating desertification. Reducing taxes alone may not be an effective control strategy; rather, the government can better motivate enterprises by adopting tax rate policies aligned with the chosen governance mode.

This research contributes by elucidating the impact mechanism of the government cycle’s length on the desertification combat process. The results may offer valuable insights for governments in formulating strategies to encourage corporate participation in combating desertification and provide theoretical support for selecting optimal desertification combat modes.

The purpose of this paper is to predict bibliometric indicators based on ARIMA models and to study the short-term trends of bibliometric indicators.

This paper establishes a non-stationary time series ARIMA (p, d, q) model for forecasting based on the bibliometric index data of 13 journals in the library intelligence category selected from the Chinese Social Sciences Citation Index (CSSCI) as the data source database for the period 1998–2018, and uses ACF and PACF methods for parameter estimation to predict the development trend of the bibliometric index in the next 5 years. The predicted model was also subjected to error analysis.

ARIMA models are feasible for predicting bibliometric indicators. The model predicted the trend of the four bibliometric indicators in the next 5 years, in which the number of publications showed a decreasing trend and the H-value, average citations and citations showed an increasing trend. Error analysis of the model data showed that the average absolute percentage error of the four bibliometric indicators was within 5%, indicating that the model predicted well.

This study has some limitations. 13 Chinese journals were selected in the field of Library and Information Science as the research objects. However, the scope of research based on bibliometric indicators of Chinese journals is relatively small and cannot represent the evolution trend of the entire discipline. Therefore, in the future, the authors will select different fields and different sources for further research.

This study predicts the trend changes of bibliometric indicators in the next 5 years to understand the trend of bibliometric indicators, which is beneficial for further in-depth research. At the same time, it provides a new and effective method for predicting bibliometric indicators.

The public health emergency of COVID-19 (Corona-virus disease) pandemic has greatly impacted tourism industry, especially in the rural tourism. This paper aims to study how rural tourism practitioners can get out of the mire of the pandemic. By analyzing the behaviors of various stakeholders and the logic of the impact of the pandemic, the behaviors of participants and future development were sorted out. The key elements that promote the recovery of rural tourism were discovered.

Based on the framework of institute analysis and development (IAD), this research selected six rural tourist communities in China as subjects for the studies. Based on the seven basic principles of hermeneutics and the inductive research method, following the analysis method of “first-order coding, second-order coding, aggregated dimensions,” the texts obtained through in-depth interview and work reports were analyzed and concepts were extracted.

The paper extracted 44 first-order concepts and 14 second-order concepts, and obtained 7 aggregation dimensions, including policy formulation and implementation, improvement of integrated marketing capabilities, improvement of tourism product quality, restrictions on rural tourism development, protection and optimization of environmental resources, industrial integration strategies and improvement of managerial and coordinating capabilities. During the pandemic, the government, enterprises and associations, as the service providers of rural tourism, can optimize the environmental resources and industrial resources of rural tourism by formulating policies, refining products and strengthening marketing in the action arena, to promote the industrial integration of rural tourism and provide better products and services for tourists.

This paper uses the IAD framework to study how rural tourism communities can successfully recover from the impact of the pandemic. It is found that the rapid recovery of rural tourism is the result of collective action. The core of establishing the collective action mechanism of rural tourism is consensus mechanism, co-construction mechanism and sharing mechanism. By studying the path and possibility of collective action of rural tourism communities, this paper explores the approach of multi-center governance of rural tourism communities to promote the imminent recovery of rural tourism.

新冠疫情（COVID-19）对旅游业，尤其是乡村旅游产生了极大影响。本文旨在探究乡村旅游从业者如何摆脱疫情危机。研究通过分析疫情带来的影响及各利益相关者的反应，梳理旅游从业者的行为，探究乡村旅游未来的发展。研究指出了促进乡村旅游复苏的关键因素。

基于制度分析与发展（IAD）理论框架，本文选取中国境内6个乡村旅游目的地作为研究对象。采用解释学七大基本原则和归纳式研究方法，通过对深度访谈和政府工作报告获得的文本进行分析，提取出“一阶编码、二阶编码、聚合维度”。

研究提取44个一阶编码和14个二阶编码，最终得到7个聚合维度，包括政策制定与实施、整合营销能力提升、旅游产品质量提升、乡村旅游发展制约因素、保护和优化环境资源、实施产业整合战略和提高管理协调能力。疫情期间，政府、企业和协会作为乡村旅游的服务提供者，可以通过制定政策、改善产品、加强营销，优化乡村旅游的环境资源和产业资源，推动乡村旅游产业融合，为游客提供更好的产品和服务。

本文利用IAD框架研究乡村旅游在疫情中的复苏。研究发现，乡村旅游的快速复苏是集体行动的结果。建立乡村旅游集体行动机制的核心是共识机制、共建机制和共享机制。本文通过研究乡村旅游社区集体行动的路径和可能性，探索乡村旅游多中心治理的途径，促进乡村旅游复苏。