Understanding the travel motivation and patterns of international students in Korea: using the theory of travel career pattern

This study examined the travel motivation of international students in Korea using the theory of travel career pattern (TCP). In particular, latent profile analysis (LPA) was applied to identify latent classes within international students. Based on the results, four latent profiles were derived and named “Core,” “Longing,” “Middle,” and “Veteran.” The results described the travel motivation and patterns across these four profiles to enhance the understanding of international students in the context of tourism. There were significant differences in travel patterns (i.e. travel companion and information sources) among the profiles segmented by motivation. This study has expanded travel motivation research by (a) applying TCP to an understudied population (i.e. international students in a non-English-speaking country); (b) comparing travel careers between the home country, Korea (i.e. a study abroad destination), and the third countries; and (c) highlighting LPA as a clustering tool to understand travel motivation.     

“海丝”背景下福州市县域经济空间格局分析

福州市作为“21世纪海上丝绸之路”核心区建设支点城市获得快速发展，各区县之间的经济联系逐步加深，区域经济格局不断演变。以福州市13个区县作为研究对象，测度“海丝”核心区建设实施前后各区县的经济潜力与经济联系强度，通过分析区域经济格局演变，对福州市在“海丝”背景下的经济发展方向提出建议，为今后加快建成支点城市提供参考。     

Back to the future. Is industry 4.0 a new tecno-organizational paradigm? Implications for Latin American countries

ABSTRACT

The objective of this article is to establish a dialogue between the recent ‘Industry 4.0’ (I4.0) literature and evolutionary neo-Schumpeterean studies about techno-organizational paradigms. In that direction, we wonder whether I4.0 constitutes a new paradigm, as it is assumed by the first group of literature, or it represents – until the moment – an intensification of key features of the information and communication technology (ICT) paradigm, following the second group of studies. Some questions are raised about the implications of I4.0 for developing countries (DEC), afterwards. Specifically, we reflect on the possibilities of these countries to identify and take advantage of new windows of opportunity, opened by the development and diffusion of these technologies. In this regard, the review of recent Latin American experience raises strong concerns regarding I4.0 as a new source of intra- and international heterogeneity, linked to the severe difficulties these countries have in appropriating these technologies in the form of productivity gains and quasi-rents. It seems that this is partially derived from weak technological, organizational, and connectivity capabilities paths of accumulation between institutions and actors.     

国有部门与非国有部门的工资差异及影响因素研究

基于CGSS数据，利用Heckman样本选择模型对中国国有部门与非国有部门的工资差异和影响因素进行系统研究。回归结果显示，国有部门员工的教育收益率高于非国有部门，教育收益率与学历水平呈现正相关关系，与非国有部门相比，国有部门中大学本科及以上学历员工的教育收益率更高。工资差异分解结果表明，两部门全样本工资差异中市场歧视占比高于特征差异占比，与全样本相比，大学本科及以上学历员工的工资总差异和特征差异占比更高，系数差异占比更低，说明高学历群体中部门间工资差异更为明显，而且两部门中仍存在较严重的劳动力市场分割和就业歧视问题。因此，政府应努力消除劳动力的流动性障碍，深化国有部门市场化改革，制定更为合理的工资机制，以促进中国经济的持续健康稳定增长。     

Applying the dissonance‐minimising format to value cultural heritage in developing countries*

We adapt the dissonance‐minimising (DM) format proposed by Blamey et al. [Land Economics, 75 (1999) 126] in a dichotomous choice contingent valuation survey to estimate the economic benefits of preserving a cultural heritage site in Vietnam. We find that the DM format can be successfully applied to avoid biases because of yea‐saying in a developing country context.     

我国中小企业技术创新支持体系现状与发展趋势

中小企业在国民经济中有着重要的地位 ,特别是在我国成为WTO成员方的大背景下 ,我国中小企业迎来了历史性的发展机遇。但不幸的是 ,每年都有大量的中小企业倒闭关门 ,或在勉强维持 ,这其中既有企业自身的因素 ,也有对中小企业技术创新把持不够的因素。根据中小企业技术创新支持体系现状及存在的问题 ,我国中小企业技术创新支持体系应走规范化、信息化和全球化的发展道路来构造适应我国具体国情的技术创新支持体系     

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。