Tourist Satisfaction and Destination Image of Vietnam's Ha Long Bay

Although considerable work has been done on destination image as a whole, far less research has investigated the differences in destination image assessments for domestic versus international visitors in developing countries. This study offers findings that illustrate the differences in perception of destination image, satisfaction attributes, and intention among domestic and international visitors to Ha Long Bay, a United Nations Educational Scientific and Cultural Organization World Heritage Site in Vietnam. The results of a survey on 650 tourists suggest that international visitors to the Ha Long Bay region have higher standards and are more critical in their evaluation of services than domestic visitors when judging this destination. Destination image is a common factor determining the level of satisfaction of both groups. Basic and augmented services were found to influence international visitors’ future intention toward the destination. This finding implies that the destination managers of Ha Long Bay need to improve current standard of augmented services to yield higher visitors’ propensity to recommend and return to the destination.     

Chinese heritage tourists to heritage sites: what are the effects of heritage motivation and perceived authenticity on satisfaction?

Much of the literature on authenticity is Western-centric, while little work addresses the concept in the Asian environment. The literature relating to authenticity from Asian tourists’ point of view is even underdeveloped. This study therefore aims to fill the knowledge gap by investigating Chinese tourists’ perspective of authenticity. It also examines tourists’ perceived authenticity as a multi-dimensional construct in a consumer-based model, the relationship with heritage motivation and tourist satisfaction. Findings indicate that Chinese tourists’ perceptions of authenticity are closely related to objective and constructive authenticity. The study demonstrates that heritage motivation has a significant positive influence on perceived authenticity and that perceived authenticity has a strong ability to predict tourist satisfaction.     

Developmental Rent Management Analysis: Learning,Upgrading, and Innovation

In this article, I construct an original analytical framework, called the developmental rent management analysis (DRMA), for the analysis of rents and rent management. This framework is based on the premise that successful rent management depends on political and institutional arrangements to produce incentives and pressures for technical upgrading and innovation. This is because, while rents are created for a variety of purposes, rent outcomes — whether growth-enhancing or growth-reducing — depend on a set of political, institutional, and market conditions that take place formally and informally. Therefore, the key objective of the DRMA framework is to understand how a country’s politics, institutions, and industries are configured to incentivize and compel industrial upgrading. Thus, DRMA enables a broader and more complex understanding of the various factors at play in the process of development. I provide an illustrative application of the DRMA framework using the Vietnamese experience of adopting third-generation technology in the telecommunications industry.     

Optimal surveillance against foot‐and‐mouth disease: the case of bulk milk testing in Australia

Previous foot‐and‐mouth disease (FMD) outbreaks and simulation‐based analyses suggest substantial payoffs from detecting an incursion early. However, no economic measures for early detection have been analysed in an optimising framework. We investigate the use of bulk milk testing (BMT) for active surveillance against an FMD incursion in Australia. We find that BMT can be justified, but only when the FMD entry probability is sufficiently high or the cost of BMT is low. However, BMT is well suited for post‐outbreak surveillance, to shorten the length of time and size of an epidemic and to facilitate an earlier return to market.     

Are Socially Responsible Firms Associated with Socially Responsible Citizens? A Study of Social Distancing During the Covid-19 Pandemic

Journal of Business Ethics - The literature on the interplay between geographic communities and organizations has largely ignored the role of individual residents. In adopting a meso-perspective,...     

“双循环”新发展格局下经济增长动力研究——基于TFP分解的视角

利用全球投入产出表数据,基于投入产出的优化模型计算全要素生产率(TFP)增长率,并将其分解为三种效应:技术进步效应、国内需求效应与贸易条件效应,以此考察新世纪以来的中国经济增长动力,为"双循环"新发展格局下的经济增长途径选择提供参考。研究发现:技术进步是中国TFP增长的主要动力,技术进步速率的下降是我国经济增长放缓的重要原因;2008年以后,技术进步效应对TFP增长的贡献在快速下降,而国内需求效应和贸易条件效应的支撑作用未能有效维持TFP增长率保持此前高位;对技术效应的产业结构分解可知,我国的比较优势在于制造业和仓储物流等行业,比较劣势在于产业链上游的原材料、基础材料制造等行业。反事实分析表明,保持人口增长是提振国内需求效应,促进TFP增长的重要动力。当前我国"双循环"新发展格局的实现瓶颈主要在于内外需求不足和技术进步速率下降,通过产业政策加强协同创新、短板创新,合理调整生育政策,可以切实推动"双循环"新发展格局下我国经济的高质量发展。     

Perception evaluation kit: a case study with materials and learning styles

International Journal of Technology and Design Education - Materials are elements that configure our built environment and are key components in design and engineering education. This research aims...     

基于One-Class SVM的青鳉鱼异常行为识别方法

为了更准确地解析青鳉鱼在突发污染环境中的行为变化趋势,提出了一种基于One-Class SVM模型的青鳉鱼异常行为识别方法。以青鳉鱼的生理及行为特征作为观测指标,将采集到的暴露在不同类型和浓度特征污染物下的青鳉鱼行为强度信号作为经验数据,利用直方图统计和主成分分析（PCA）对行为强度数据进行降维,实现行为特征提取,基于One-Class SVM构建模型,并以五水合硫酸铜和三氯酚作为特征污染物进行暴露实验对算法进行验证。结果表明,One-Class SVM模型可以准确地识别正常行为和污染物暴露时发生的异常行为;对于有机污染物最快可在10 min内完成预警,重金属污染物可在1 h内完成预警,并且污染物浓度越高,模型的识别效果越好。识别方法可对水源突发性水质污染进行更有效的监测和预警,也可为水污染应急决策提供技术支撑。     

词汇化探索

词化过程是语言领域的自然过程,是一个类似写作过程的(thinking aloud)过程,而且具有基因特点;词化过程是认知过程中语言的自然过程,其结果是词权的确立。     

乡村振兴金融服务中涉农贷款增长放缓问题调查与思考——以安徽为例

在当前乡村振兴金融服务中涉农贷款增长放缓问题突出。通过对安徽省数据进行分析和重点调研省内8个地市有关情况,我们认为导致涉农贷款增长放缓的原因是多方面的,既有需求下降的原因,也有供给不足的问题,此外统计范围变化和不良贷款处置也对涉农贷款增长产生了影响。针对涉农信贷中存在的问题,本文提出了加强涉农金融产品创新、加大不良贷款处置、强化风险分担、避免政策"一刀切"和完善统计制度等相关政策建议。