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As China’s industrial structure continues to upgrade and optimize, the consumption capacity of rural residents gradually improves and the role of consumption in economic growth is increasingly prominent. Against the background of weak external demand, the untapped potential of rural consumption has become a key force in expanding domestic demand. As one of the important means that the government has long relied on, fiscal support for agriculture has played a crucial role in activating the rural consumer market. This manuscript aims to explore the impact of local fiscal support for agricultural expenditure (FSAE) on rural consumption in China, as well as to examine the mediating role of the level of rural financial development.

In this manuscript, the authors use the provincial panel data of 31 provinces in China from 2000 to 2020. The data of all variables mainly come from China Statistical Yearbook and China Rural Statistical Yearbook. According to the variable selection above, 651 sample data of 31 provinces and cities across China from 2000 to 2020 are organized. In terms of methodology, multiple fixed-effects panel model is applied to regression.

Firstly, FSAE varies significantly, while rural consumption slowly but steadily rises, with a relatively stable consumption structure. Secondly, FSAE has a significant positive effect on rural consumption. Thirdly, mediation testing indicates that mechanisms such as income, uncertainty and financial development have significant positive mediating effects on rural consumption. Thirdly, there is evident regional heterogeneity in FSAE’s impact on rural consumption. The Western regions, under government fiscal support, show a more significant effect on the elevation of rural consumption levels, while the role of FSAE in optimizing the consumption structure of rural residents in eastern and central regions is more pronounced.

Firstly, a systematic examination of local FSAE and rural consumption has been conducted, enriching relevant theories. Secondly, utilizing econometric empirical methods to research the relationship between local FSAE and rural consumption provides an exploratory extension to empirical studies on rural consumption in China. This offers empirical evidence for local fiscal support in agricultural development and the promotion of rural consumption.

This study aims to introduce an innovative framework for mining tourism reviews that not only excels in sentiment analysis accuracy but also prioritizes user-friendly design for enhanced usability.

Online reviews of China’s Five Sacred Mountains were analyzed using an integrated methodology. Sentiment analysis was performed using ChatGPT, bidirectional encoder representations from transformers (BERT) and convolutional neural networks, with ChatGPT demonstrating superior performance. Latent Dirichlet allocation extracted key attributes. Models including importance–performance analysis (IPA), asymmetric impact-performance analysis (AIPA) and importance–performance competitor analysis (IPCA) then synthesized findings.

The results demonstrate that ChatGPT outperforms both machine learning and lexicon-based models in sentiment recognition, exhibiting performance comparable to that of the BERT model. In the case study, integrating sentiment analysis outcomes with IPA reveals deficiencies in both topics and attributes. Moreover, the synergistic combination of IPA, AIPA and IPCA furnishes actionable recommendations for resource management and enables nuanced monitoring of sustainability attributes.

Leveraging this framework in conjunction with the ChatGPT platform for application development can bring practical convenience to the tourism industry. It supports sentiment analysis, topic categorization and opinion mining. Equipped with monitoring capabilities, it provides valuable insights for sustainable improvement, aiding managers in formulating effective marketing strategies.

This research develops a novel multimodel framework integrating various ML/DL techniques and business models in a synergistic way. It provides an innovative and highly accurate yet simple approach to tourism review mining and enhances accessibility of advanced artificial intelligence for sustainable tourism monitoring, addressing limitations of prior methods.

本研究旨在引入一种创新的框架, 用于挖掘旅游评论, 不仅在情感分析准确性方面表现出色, 而且还优先考虑用户友好设计, 以提升可用性。

本研究使用综合方法分析了中国五岳的在线评论, 使用ChatGPT进行情感分析。LDA提取了关键属性。然后, 包括IPA、AIPA和IPCA在内的模型综合了研究结果。

结果表明, ChatGPT在情感识别方面优于机器学习和基于词典的模型, 表现与BERT模型相当。在案例研究中, 将情感分析结果与IPA结合起来揭示了主题和属性的不足。此外, IPA、AIPA和IPCA的协同组合为资源管理提供了可行的建议, 并实现了对可持续属性的细致监控

结合ChatGPT平台在应用开发中利用该框架可以为旅游业带来实际便利。它支持情感分析、主题分类和意见挖掘。配备了监控功能, 为可持续改进提供了宝贵的见解, 帮助管理者制定有效的营销策略。

本研究开发了一种新颖的多模型框架, 将各种ML/DL技术和商业模型以协同方式整合在一起。它提供了一种创新而高度准确但简单的方法, 用于旅游评论挖掘, 并提升了高级AI的可访问性, 以实现可持续旅游监测。

Environmental and health concerns are considered the most significant motivations for organic food purchasing behaviour (OFP). This study focuses on the roles of health and environmental concerns in OFP in China, aiming to explore whether there are differences in the effects and mechanisms of these two concerns.

We use the PLS-SEM to conduct empirical tests, drawing from survey data collected from 628 Chinese consumers.

The results showed that the OFP was influenced differently by health and environmental concerns. Specifically, the total effect of environmental concern on OFP outweighs that of health concern, whereas the opposite is true for direct impacts. Additionally, environmental and health concerns can influence OFP through attitude and subjective norms, although the specific mechanisms vary. Environmental concern affects OFP more through subjective norms, whereas health concern affects OFP mainly through attitude. Meanwhile, functional value quality was a significant moderator that enhanced the indirect effect of motivation on OFP.

A theoretical framework is constructed to explore the role of two types of motivations in OFP within emerging economies like China, revealing their mechanism and interaction effect with functional values.

The empirical results of the pivotal relationship between big data analytics capability (BDAC) and firm innovation remain inconclusive, necessitating a comprehensive understanding of the mediator and moderator through which firms can realize the potential innovation benefits of BDAC. Invoking the indirect perspective of dynamic capability theory, we constructed a moderated mediation model in which organizational learning mediates the impact of BDAC on firm innovation; the mediation effect of organizational learning is contingent upon market orientation.

Our hypotheses were tested using hierarchical regression and bootstrapping methods with a sample of 227 large- and medium-sized manufacturing firms in China.

The results reveal that both exploratory and exploitative learning fully mediate the link between BDAC and firm innovation. The mediation effect of exploitative learning is positively contingent upon market orientation; however, market orientation does not positively moderate the mediation effect of exploratory learning.

Our moderated mediation model is one of the first to provide a fine-grained understanding of the process through which BDAC is transformed into firm innovation as well as the conditions under which this mediating mechanism may work effectively, thereby further elucidating the theoretical black box regarding the BDAC-firm innovation link and resolving existing debates in the literature regarding why BDAC does not always yield positive outcomes.

The purpose of this paper is to offer an alternative explanation for inconclusive results in the existing literature on the information sharing-firm performance link by examining a moderated mediation model in which operations capabilities mediate the interactive effects of information sharing and market intelligence responsiveness on firm performance within a supply chain context. Drawing on the indirect view of dynamic capability theory, the authors propose that information sharing redeploys and reconfigures operations capabilities, thus leading to superior firm performance, even with a high level of market intelligence responsiveness.

The hypotheses were tested using hierarchical regression and bootstrapping methods with a sample of 154 Chinese manufacturing firms. A survey-based, two-informant design was used to collect data.

The results revealed that operations capabilities fully mediate the relationship between information sharing and firm performance. The information sharing-operations capabilities link is positively moderated by market intelligence responsiveness. Moreover, operations capabilities positively mediate the interactive effects of information sharing and responsiveness on performance.

The study shifts the research focus from the moderating effect of market intelligence responsiveness in the information sharing-performance link to the interactive effects between information sharing and responsiveness on performance via operations capabilities, thus offering a finer-grained picture of the essential information sharing-performance link. To the best of our knowledge, this study is among the first to advocate and substantiate the theoretical claim that even with a high level of responsiveness, a firm’s performance relies on its operations capabilities, which are renewed and enhanced by information sharing, rather than on information sharing itself.

The purpose of this paper is to examine the great contributions made by the American library expert, Mary Elizabeth Wood, to Chinese library development.

As a pioneer of the modern library movement Mary Elizabeth Wood devoted herself to a Chinese library career. It was structured according to the following theme: setting up the Boone Library and introducing the modern American public library into China; establishing Boone Library School and initiating Chinese library science education; raising money and appealing for China's library development; helping forward the foundation of the Library Association of China; as well as promoting Chinese library intercommunion and cooperation with the West.

With the background of underdeveloped Chinese librarianship, Mary Elizabeth Wood introduced modern American public library spirit into China, opened the gate of Chinese library science, and promoted Chinese library science.

The paper discusses the library history of China and the role of an American librarian in Chinese library history; thus, it should be of wide interest to researchers involved in library history.

Mary Elizabeth Wood devoted herself to a Chinese library career, and promoted Chinese library science greatly, but research on her is limited. This paper considers her contribution to Chinese library science.

During the centennial anniversary of Xinhai Revolution in 2011, the Chinese People’s Political Consultative Conference and the State Administration of Radio, Film, and Television supported the production of 1911 for celebrating such an important event that lead to the rise of the Republic of China in the contemporary Chinese history. This paper aims to reflect upon this film in relation to China’s propagation of “Greater China” for the Empire-building project.

By scrutinizing the film text and following the strait controversies over the film, this paper demonstrates how the Chinese Communist agents employed the coproduction model with Hong Kong for globalizing a cinematic discourse of Greater China in part of their Empire-building project.

The study challenges how contemporary Chinese history is ideologically and politically manipulated for advancing the Chinese Communist propaganda over Taiwan. The overall objective is to reflect upon the longstanding historical divergences that stand on the current geopolitical envision and strategy of China for reunification.

This paper provides an interdisciplinary reflection upon the intricate post-Cold War politics in part of the contemporary Chinese cinema under the China–Hong Kong coproduction model. The findings advance novel and timely insights into China’s current envision and strategy for reunification.

The former residences of historical figures are typical landscape elements of historic districts, which are characterised by the styles of these residences and spiritual historical figures cultures. The purpose of this paper is to determine how the former residences respond once the historical figures living there have passed.

The history of human culture and progression of urban construction – which are submerged in societal transformation – is recorded for old Beijing city. Narrative space theory is used and methods such as a content analysis, map overlay and the Geographic Information System are employed to analyse the selected 300 former residences of historical figures in old Beijing city.

The results are as follows: the political setting played a key role in the evolution process, three political narrative areas in the inner city and one cultural narrative area in the outer city form the narrative spatial structure of the former residences of historical figures, “government construction” and “resident construction” are the main reasons for the loss and destruction of narrative spaces and ordinary life is an important channel for showcasing the history of former residences. The narrative spaces of these residences carry double histories, namely, the development of human history and of city construction.

Different from former studies that focus on the preservation of the single historical building, this study explores the integral logic of historic buildings in the whole city through narrative space theory to get a combination of culture and space.