Estimating Willingness to Pay for Improved Water Quality in the Presence of Item Nonresponse Bias

This article deals with the problem of item nonresponse in contingent valuation surveys using a payment-card method, by applying a grouped-data sample-selection estimation technique that is capable of imputing the missing values conditional upon a respondent's decision to answer a willingness-to-pay question. The advantage of the technique lies in its ability to utilize all of the information in the sample, permitting a more efficient estimation in the presence of item nonresponse bias. The major determinants of willingness to pay appear to be household income, number of children, education, perception of existing water quality, and identification with environmental issues.     

On the Use of Value Efficiency Analysis and Some Further Developments

The purpose of this paper is to discuss the use of Value Efficiency Analysis (VEA) in efficiency evaluation when preference information is taken into account. Value efficiency analysis is an approach, which applies the ideas developed for Multiple Objective Linear Programming (MOLP) to Data Envelopment Analysis (DEA). Preference information is given through the desirable structure of input- and output-values. The same values can be used for all units under evaluation or the values can be specific for each unit. A decision-maker can specify the input- and output-values subjectively without any support or (s)he can use a multiple criteria support system to assist him/her to find those values on the efficient frontier. The underlying assumption is that the most preferred values maximize the decision-maker's implicitly known value function in a production possibility set or a subset. The purpose of value efficiency analysis is to estimate a need to increase outputs and/or decrease inputs for reaching the indifference contour of the value function at the optimum. In this paper, we briefly review the main ideas in value efficiency analysis and discuss practical aspects related to the use of value efficiency analysis. We also consider some extensions.     

工程项目风险的应对措施及其管理

工程项目建设过程中存在风险因素较多,通过对工程项目风险概念的分析,重点介绍了常用的工程项目风险应对措施以及制定项目风险应对计划的风险管理工作,为项目风险管理提供参考。     

桂北地区乡土文化资源与乡村旅游经济互动发展研究

由于国内社会经济的飞速发展,人民群众的生活水平越来越高,使得近年来出行旅游的人越来越多,这在很大程度上促进了旅游业的发展。特别是国内各地乡村旅游业的快速发展,大大推动了乡村经济的繁荣,促进了乡村现代化发展。论文以桂北地区乡土文化资源为研究对象,认为在发展乡村旅游经济的同时,更要重视乡土文化资源的保护与传承,从而有效实现乡村旅游经济的可持续发展,促进乡村旅游业以及社会经济的健康发展。     

A video game to supplement a hybrid principles of microeconomics course

In this article, the author describes the structure and content of a video game that she developed for a hybrid principles of microeconomics course that consists of two 50-minute lectures and a 50-minute online portion per week. The game comprises seven modules, each of which was assigned to be played during the course of the semester for the online portion of the class. The concepts covered in the game include the circular flow model, demand and supply, externalities, comparative advantage, types of market structure, sunk costs, and game theory, and the article explains in detail how the gameplay was related to these concepts. The game can be downloaded for either Windows or Mac computers, or played online at https://sites.google.com/site/gamesforecon/.     

论房地产信贷发展现状、风险及防范

房地产业是国民经济的重要组成部分,为扩大内需,房地产业的潜力将得到充分挖掘,如何确保我国房地产业的持续、稳定、高速增长成为经济理论和实践工作者的一个重要议题.     

MA公司物流成本的会计核算探析

以MA公司为例，对MA公司会计核算现状进行了探讨，当前MA公司物流成本会计核算内容、核算科目设置、核算信息管理等还存在诸多缺陷，制约了MA公司对物流成本的科学管理，也在一定程度上影响了MA公司的发展，从MA公司物流成本的会计核算内容丰富、会计核算科目及账户设置、会计核算的信息管理等角度提出了对策建议。     

学前儿童平板电脑导航按钮交互设计评价研究

学前儿童平板电脑导航按钮交互设计评价指标的建立,有利于交互设计在学前儿童平板电脑中的优化和改良.从学前儿童体验视角出发,创建平板电脑导航按钮交互设计的多维度多层次评价指标,该方法以创建多维度多层次评价指标为基础,根据D-S证据理论设计评价指标的决策矩阵,利用层次分析法确定评价指标权重.最后以优学派儿童平板电脑"童话故事"界面导航按钮8个优化设计方案对比分析与评价为例,验证了所提出方法的合理性与有效性.     

IOS移动平台互动绘本的设计

绘本随着计算机软硬件的发展和无线网络技术的进步，正由纸质图书形式向数字化屏式过渡，其自身可以根据故事的画面与技术手段相结合，从而产生新的绘本形态---互动绘本。在这种应用背景的推动下，指出纸质绘本的优缺点，调查分析IOS移动平台互动绘本发展的前景与优势，从研究互动绘本的设计特征着手，探讨互动绘本设计在数字技术支撑下的设计要素与设计方法，可对互动绘本的设计与发展有所借鉴，并实现其艺术价值与市场应用价值。     

Nontraditional student withdrawal from undergraduate accounting programmes: a holistic perspective

A collaborative project of several Quebec universities, this study investigates nontraditional student withdrawal from undergraduate accounting programmes. A nontraditional student is older than 24, or is a commuter or a part-time student, or combines some of these characteristics. Univariate and multivariate analyses of student dropout factors were performed. A logistic regression for full-time students indicates several significant determinants of student withdrawal: returning to school after working for some time, enrolment in a non-first choice programme, dissatisfaction with programme choice and courses, and low grade point average (GPA). For part-time students, low GPA is the main explanatory factor for student withdrawal. Other factors appear to be instrumental in withdrawal decisions, such as management of external resources (time and family responsibilities) for women. The results suggest that students would benefit from university support services to acquire learning strategies that improve perseverance. Lastly, in-class learning activities that help bolster grades could decrease student withdrawal rates.