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The digital age represents a profound shift, building upon the industrial age's foundations of technological breakthroughs like the steam engine, electricity, and computers. Just as the industrial revolution transformed production and societies, the digital revolution driven by the internet, data, AI, cloud computing and emerging technologies is spawning a new virtual realm that integrates with and redefines the physical world. This transition brings upheaval but also possibilities to create new economic models, business paradigms, social governance, and even reconceive human civilization itself.

Abstract: In "Literary Variation of Indian Buddhist Stories in Chinese (Zhiguai) Novels," Wei Guo discusses Buddhist Sutra scriptures which have been a reservoir of inspiration for Zhiguai novels since their first introduction in Chinese literature. Buddhist texts
were less relevant for the "documentary" tradition of Chinese literature owing to their rough structure, vague context, and lack of a sense of history and reality, since they were originally intended as texts of didacticism. Hence, in order to integrate these exotic literary materials
with local aesthetic concepts, Chinese writers explored creative adaptations including the addition of adding detail, linguistic embellishments, and the endowment of each story with specific narrative scenes in terms of character, place, and time. Guo argues that Indian Buddhist stories have
been remolded in Zhiguai novels and transformed from imaginary religious literature into figurative and documentary literature whereby the convergence of the source texts with the target texts shows the processes of formation of world literature(s). Keywords: Buddhist Sutra; Sinicization;
Zhiguai Novel; Mystery and Supernatural in Classical Chinese Literatur

Most arable land in rural areas of China is highly fragmented, and promoting large-scale operation by means of farmland transfer is of great significance to both increase farm income and improve the ecological stability of farmland. At present, crayfish are widely popular with the consumer market, and the rice–crayfish cultivation pattern has considerable industrial advantages for water-rich plain areas. However, farmers do not have a sufficient understanding of the new model, and its application is not common enough, failing to realize the advantages of the region's special industries. The purpose of this paper is to analyze the current situation of farmland transfer in rice–crayfish cultivating regions of Hunan and Hubei, China, and employ the logistic regression model to explore the impacts of operation scale and transfer experience on farmers' willingness toward farmland transfer-in, in order to promote the sustainable development of rice–crayfish cultivating. The results showed that: Firstly, both operation scale and transfer experience have a significant positive relevance with farmers' willingness toward farmland transfer-in. Secondly, there are obvious differences in the impact path among large-scale, medium-scale, and small-scale rice or rice–crayfish farmers. Thirdly, the transfer-out experience is inhibitory or not significantly associated with the willingness toward farmland transfer-in. Fourthly, the transfer experience intensifies the positive influence of the expansion of operation scale on the farmers' willingness toward farmland transfer-in. This study can provide some reference and basis for the local government to make differentiated measures according to the farmland transfer preferences of farmers with different scales and operation types, so as to promote farmers' willingness to operate at a large scale and realize the sustainable development of the regional rice–crayfish cultivating model.

In this study, we estimate the potential benefits of partial or full implementation of cross-border paperless measures with respect to reduction of time required to export and import, as well as an increase in exports. This is done by classifying the implementation of cross-border paperless trade measures into three stages, namely no implementation or planning stage, partial implementation, and full implementation. Results of the study should be of interest to policymakers in two ways. First, the COVID-19 pandemic has highlighted the need for digitalizing trade procedures through the development of national and regional single windows. The work-from-home directive as part of the COVID-19 control measures means that some regulatory authorities in the ministries of trade, health or agriculture have to provide public services in different locations and may not be fully available to process paper documents submitted by traders. This has created risks of disrupting the supply chains in food and medical supplies. Such risks can be mitigated by the implementation of full-fledged NSW and subsequently ASW+6 to enable exporters or importers to submit all trade-related documents electronically only once for each occurrence of their exports or imports. Such documents are then processed electronically by the regulatory authorities either at the office or in the home. Second, results of the study should feed into the ongoing discussion on expanding the ASW in ASEAN. In November 2020, the ASEAN Secretariat published the ASEAN Comprehensive Recovery Framework (ACRF) and its implementation plan, which set out strategies and identified measures for recovery in line with sectoral and regional priorities (ASEC 2020). The ACRF trade facilitation measures include the harmonization of standards for essential goods and the expansion of ASW to ASEAN's key trading partners. This aims to reduce compliance costs and procedural obstacles for traders, which should improve the efficiency of their business operations and increase their ...

Meteorological disasters have become a global challenge due to the increased prevalence and severity, and China is among the most affected countries. In this paper, based on a randomized survey in China, the authors employed a structural equation model to study the influencing factors of public participation in meteorological disaster prevention and mitigation (MDPM). It is found that the behavior of the government has a significant positive influence, with an influencing coefficient of 0.494 on the public&rsquo ; s willingness to participate in MDPM. The degree of community involvement also has a significant positive influence on the public&rsquo ; s willingness, with an influencing coefficient of 0.636. The public&rsquo ; s attention to meteorological events and ability to participate have less impact on their participation in MDPM, with coefficients of 0.057 and 0.075, respectively. The information acquisition has a significant negative impact, with an influencing coefficient of &minus ; 0.084. There is a strong positive covariation between community participation and governmental behavior, with a covariance coefficient of 0.27, indicating that the two factors promote each other and together boost the public&rsquo ; s willingness to participate in MDPM.

Resilience and efficiency are the key elements of sustainable development. Their synergistic advancement promotes the sustainable growth of the urban tourism economy. The study measures the resilience and efficiency of the urban tourism economy in 11 cities of Hebei Province, China, employing a weighting method and super-efficiency SBM model. Additionally, the study investigates the synergistic effects and evolutionary characteristics of resilience and efficiency using the Haken model. The research shows that the efficiency of the urban tourism economy acts as the order parameter, governing the evolutionary trajectory and direction of the urban tourism economy in Hebei Province. This parameter facilitates the dynamic transformation of the urban tourism economy from disorder to order and from low efficiency to high efficiency. The synergistic development of urban tourism economic resilience and efficiency in Hebei Province has gone through a benign evolution from a primary stage to a high stage, presenting a stable and sustained positive trend. However, significant spatial differences exist between cities, forming an "east-central-west" concave spatial pattern, and there is a "Matthew effect" among cities.

In order to promote the prosperity and development of the research on "regional tourism performance" and better guide the practice of regional tourism development, this paper gives a basic and comprehensive review of the research activities on "regional tourism performance." Data were collected from 418 English papers (2004–2020) collected from the Web of Science database. This study uses CiteSpace and Gephi to analyze the development of the thematic research from four dimensions: research overview, knowledge base, discipline structure, and research frontier. The study found that "regional tourism performance" is still a hot spot of the future. The existing literature on "regional tourism performance" mainly focuses on constructing models, exploring influencing factors, and innovating management models to improve tourist satisfaction, enhance regional tourism competitiveness, and promote regional economic growth. Panel data, entropy index, data envelopment analysis, bootstrap truncated regression models, coupling coordination degree, and spatial variation are the main research methods. Since 2016, cultural tourism, heritage tourism, rural tourism, tourism destinations competitiveness, and regional tourism governance have become hot topics in the thematic research. This paper is helpful to improve the research efficiency of the thematic research, promote the theoretical results to better guide the practice, and improve the level of regional tourism performance. However, this paper has limitations in terms of concept differentiation and data accuracy.

This paper investigates the meteorological factors and human activities that influence PM2.5 pollution by employing the data envelopment analysis (DEA) approach to a chance constrained stochastic optimization problem. This approach has the two advantages of admitting random input and output, and allowing the evaluation unit to exceed the front edge under the given probability constraint. Furthermore, by utilizing the meteorological observation data incorporated with the economic and social data for Jiangsu Province, the chance constrained stochastic DEA model was solved to explore the relationship between the meteorological elements and human activities and PM2.5 pollution. The results are summarized by the following: (1) Among all five primary indexes, social progress, energy use and transportation are the most significant for PM2.5 pollution. (2) Among our selected 14 secondary indexes, coal consumption, population density and civil car ownership account for a major portion of PM2.5 pollution. (3) Human activities are the main factor producing PM2.5 pollution. While some meteorological elements generate PM2.5 pollution, some act as influencing factors on the migration of PM2.5 pollution. These findings can provide a reference for the government to formulate appropriate policies to reduce PM2.5 emissions and for the communities to develop effective strategies to eliminate PM2.5 pollution.