基于云重心Shapley值的供应链融资联盟收益分配研究

针对Shapley值法在供应链融资联盟收益分配过程中分配因素考虑不全以及各分配因素随机性和模糊性强的缺点,本文利用云重心法修正Shapley值的收益分配。根据供应链融资联盟收益分配的主要影响因素,在传统的Shapley值法的基础上引入了风险系数、投入成本、努力程度以及信息对称水平4个分配修正因子,弥补了影响因素的缺失,并利用云重心法计算各联盟企业的收益修正值,云重心法能够解决定性指标和定量指标之间的模糊性转换,极大克服了Shapley值法自身的局限性。算例对比结果发现,改进的Shapley值法能更加合理的分配收益,有利于维持供应链融资联盟的稳定。     

基于DEA 模型的我国上市商业银行竞争力分析

金融业竞争的日益市场化与国际化以及基于技术创新的金融业快速发展,使得我国竞争力本来就不强的银行业深受冲击。因此,我国银行业必须不断提升自主创新能力,提高市场竞争力,以便构筑起可持续发展的能力。本文试图用数据包络方法(DEA) 对我国16 家上市商业银行竞争力进行实证分析,期望能够对我国商业银行竞争力的提升有一定的借鉴意义。     

绿色经济问题研究新进展

顺应新发展理念的提出,2016 年学者们对绿色经济相关问题进行了广泛而深入的研究,主要在环境效率、环境规制绩效和绿色发展三方面取得了卓有成效的进展。一是从环境效率评估方法、环境效率状况和区域差异等方面对环境效率进行了评估,并拓展研究了环境效率的影响因素;二是从评估环境政策、税收、排污权分配、碳交易等环境规制绩效入手,理论和实证分析了环境规制的影响因素和绩效改进方向;三是探讨了绿色发展的可能性,提出了优化产业结构、加强地区联防联控、推出碳交易政策、优化城市结构和规划、促进共享经济发展和优化环境管理手段等绿色发展的路径选择。     

环境约束下中国工业企业创新效率评价及影响因素研究

本文应用SBM模型的改进DEA模型以及DEA-Tobit法对中国2006～2015年环境约束下工业企业技术创新效率及其影响因素进行实证分析,研究结果表明,非期望产出对企业效率评价结果有较大影响,北部沿海综合经济区的环境效率值最高;西北综合经济区、长江中游综合经济区、黄河中游综合经济区、东北综合经济区环境效率值相对较差。政府支持力度、企业规模与环境约束下的工业企业技术创新效率呈正相关关系,企业聚集度与其呈负相关关系,而企业技术水平与从业人员素质对其影响较小。     

基于可视化技术的农产品防伪溯源监控系统设计

随着中国农产品物流规模不断壮大,农产品物流系统无法从源头保证产品采摘、包装、物流中的可信性。为了解决这个问题,提出一种现场作业可视化系统,即将可视化技术应用于农产品防伪溯源监控系统中,从而满足远程管理的需求。对相关可视化技术的一般方法进行了分析,选择COFDM作为主要解决方案。农产品防伪溯源监控系统有效克服了复杂环境下的各类干扰,将物流中的实时监控信息传送到中继通信和监控设备上,并依托公用通信网络或专用通信网络进一步实现广域范围内的实时高质量监控图像传输、存储和浏览。通过实时现场视频监控,消费者可以保证买到真实可信的高质量农产品;生产者可以提高农产品的生产、运输效率,还可以提升相应产品的信誉,促进高质量农产品的销售。     

Using a network data envelopment analysis model to assess the efficiency and effectiveness of cultural tourism promotion in Taiwan

The importance of tourism promotion has been discussed throughout past studies, and the consequences of ineffective promotion have also been investigated. While tourism promotion is a topic of interest to many researchers, performance measurement used to assess the effectiveness of tourism promotion is a topic seldom discussed. The purpose of this study is to develop an approach based on the data envelopment analysis (DEA) model to evaluate performance for tourism promotion. The main difference compared with previous DEA models is the evaluation of multiple efficiencies in a single DEA implementation, and the assessment of overall efficiency in a ratio index. In the assumption of variables, we use cultural tourism promotion as a foundation in formulating the empirical evaluation, and we test the proposed model by using data across 20 regions in Taiwan.     

消费者有机农产品网购意愿研究 ——基于AM模型的实证

基于技术接受模型理论,通过引入消费者新观念接受能力概念,构建了个体、 系统与环境因素影响消费者有机农产品网购意愿的理论模型,基于572个有效样本检验发现:安全性感知、 网店服务质量以及主观规范均对消费者有机农产品网购意愿具有积极影响;网络信任是各因素影响消费者有机农产品网购意愿的中介变量;消费者新观念接受能力对网络信任与消费者有机农产品网购意愿的关系具有显著的正向调节作用.最后,从实践角度,为企业以及政府制定有效营销策略,以及推动有机农业产业升级提出了管理启示.     

“荷兰病”型旅游地:内涵解析与识别流程

"荷兰病"是一个经济学领域的概念,指一国或地区某一产业部门异常繁荣,而其它产业发展相对滞后的现象。在中国旅游产业发展实践中,存在着以丽江市、张家界市、三亚市、黄山市和阿坝州为代表的以旅游业为单一支柱产业,区域经济发展高度依赖旅游业的旅游地。文章创造性地提出了"荷兰病"型旅游地的概念,并系统阐述了"荷兰病"型旅游地的内涵特征、形成条件和识别流程,运用Eviews7.0软件对上述五个城市进行"荷兰病"识别的计量经济分析,发现都属于典型的"荷兰病"型旅游地。     

Fuzzy Rasch model in TOPSIS: A new approach for generating fuzzy numbers to assess the competitiveness of the tourism industries in Asian countries

This study proposes a novel approach, the Fuzzy Rasch model, which combines Item Response Theory (IRT) and fuzzy set theory. This paper applies the Fuzzy Rasch model in Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to analyse the Tourism Destination Competitiveness (TDC) of nine Asian countries: China, Hong Kong, Japan, Korea, Malaysia, Singapore, Taiwan, Thailand and the Philippines. The study was conducted in 2009 using 6 criteria and 15 indices. The results demonstrate the feasibility of applying the Fuzzy Rasch model in TOPSIS to analyse TDC in Asian countries. In addition, the proposed model also provides an effective means of applying the MCDM method to study TDC. Furthermore, in 2009, the Asian countries were ranked from most to least competitive as follows: China, Japan, Hong Kong, Malaysia, Thailand, Singapore, Taiwan, Korea and the Philippines.     

A stochastic cost efficiency analysis of international tourist hotels in Taiwan

The one-stage stochastic frontier approach (SFA) is used in this study to simultaneously estimate cost efficiency scores and factors of cost inefficiency for 66 international tourist hotels in Taiwan during 1997–2006. An SFA model with three outputs and three inputs is defined. The three outputs are room revenue, food and beverage revenue, and other operation revenue while the three inputs are price of labor, price of other operation, and price of food and beverage. This model also takes into account five environmental variables, including dummy variable of the hotels located in non-metropolitan area, dummy variable of chain hotels, the number of tourist guides, the minimum distance from each hotel to Taoyuan international airport and the minimum distance from each hotel to Kaohsiung international airport. Empirical results show that international tourist hotels in Taiwan are on average operating at 91.15% cost efficiency. All nominal variables are transformed into real variables in 1997 prices by GDP deflators. Chain systems, tourist guides, and international transportation can significantly improve the cost efficiency of international tourist hotels in Taiwan.