在数学建模中培养学生创新性思维及建议

本文论述了数学建模对培养学生创新能力、提高综合素质的重要作用,指出大学生创新性思维能力的培养是数学建模活动的核心目标,对在数学建模活动中如何培养学生的创新性思维能力作了讨论,并根据学校开设数学建模课程及参加数学建模竞赛活动的现状,就如何提高数学建模成绩提出了一些建议.     

Candidate gene studies and the quest for the entrepreneurial gene

Candidate gene studies of human behavior are gaining interest in economics and entrepreneurship research. Performing and interpreting these studies is not straightforward because the selection of candidates influences the interpretation of the results. As an example, Nicolaou et al. (Small Bus Econ 36:151?C155, 2011) report a significant association between a common genetic variant in the DRD3 gene and the tendency to be an entrepreneur. We fail to replicate this finding using a much larger, independent dataset. In addition, we discuss the candidate gene approach and give suggestions to avoid the publication of false positives.     

垄断竞争市场下的中国银行卡产业收单费定价研究

通过全面综述银行卡产业的主要定价理论以及国内研究现状,本文首次对中国银行卡产业收单市场的收单费定价问题进行规范性研究.在放松收单市场完全竞争的假定下,结合经济学效用函数理论思想,运用双边市场理论,通过建立统一定价与差别定价模型,研究如何定价能使效用最大化.研究表明:在收单费定价时,不仅应该根据成本原则调整收单费在扣率的比例,而且要细分不同的行业类别、卡基支付工具、经济区域以及消费习惯观念等影响因子,从而实现收单市场的效用最大化.     

论旅游线路的文化品味提升:基于非物质文化遗产的视角——以珠三角为例

通过广州、深圳、佛山、东莞和中山五城市旅游线路的调查,非物质文化遗产作为一种较高级别的旅游资源未得到旅行社的足够重视。针对国内旅游线路缺乏创新,欠缺文化内涵的现状,对旅行社的旅游线路进行改造,融入非物质文化遗产的项目,旨在通过提升线路文化品味的同时促进非物质文化遗产的传承和发展。     

Decomposition of energy-related CO2 emission over 1991-2006 in China

This paper presents a decomposition analysis of energy-related CO₂ emission in China for the period 1991-2006 divided into three equal time intervals. The complete decomposition method developed by Sun is used to analyze the nature of the four factors: CO₂ intensity, energy intensity, structural changes and economic activity. The results show that economic activity has the largest positive effect in CO₂ emission changes in all the major economic sectors and China has achieved a considerable decrease in CO₂ emission mainly due to the improved energy intensity. However, the impact of CO₂ intensity and structural changes is relatively small. Structural changes only exhibit positive effect to the CO₂ mitigation in agricultural sector, and CO₂ intensity also contributes to the decrease of CO₂ emission in transportation sector. Moreover, a formula about CO₂ mitigation is presented in this paper, which shows that China has made a significant contribution to reducing global CO₂ emission.     

中国养老保险最优缴费率的实证分析——基于贴现因子和劳动增长率差异的分析

从个人效用和社会福利最大化的角度出发,养老保险制度存在着最优的缴费率.最优缴费率与资本产出弹性a、未来效用的贴现因子p、人口增长率n、有效劳动增长率g、个人工资与社会平均工资的比例λ等参数有关.结合中国现实,在其他参数不变的前提下,依据贴现因子和劳动增长率的变动能够形成四组组合模式.模拟结论表明,现行养老保险制度的社会统筹缴费率是符合福利最大化的最优缴费率;现行养老保险制度的个人账户缴费率与实现福利最大化的最优个人账户缴费率相比是偏低的;缴费期的长短与最优社会统筹缴费率的高低成正比而与最优个人账户缴费率的高低成反比;有效劳动增长率的高低与最优社会统筹缴费率成正比而与最优个人账户缴费率成反比.     

Assessing the Reliability of Self‐reported Income Information in Informal Small Business Lending through a Bogus Pipeline Experiment

Coping with asymmetric information plays a major role in successful small business lending. Our purpose is to determine if small business applicants report their income information correctly when requesting a loan. We use a randomised controlled trial bogus pipeline experiment, established during a typical cash‐flow analysis of a bank for small businesses in the Philippines. The bogus pipeline approach is commonly applied in social science and aims to increase the rate of truth telling by informing participants that answers will be verified by a lie detector. The experimental data, which include 243 observations of credit clients that are mainly from the agricultural and food value chain, served to identify asymmetric information. Additionally, debtors’ repayment behaviour for approved loans was observed by the bank. Our results indicate that loan applicants of the treatment group report lower incomes, an effect which is most pronounced in lower income quantile. Our analyses also reveal higher loan delinquencies in the control group.     

Collaborative Decision-Making in Non-formal Planning Settings

Planning initiatives outside the formal planning system can constitute a favourable environment for implementing and analysing collaborative decision-making processes. The conceptualisation of the decision-making context in the light of the Policy Network analysis helps to better understand the underlining conditions, as well as their influence in the outcomes. In the case under analysis, were the decision-making conditions were of co-responsibility and power-sharing, the challenge has been to warrant the effectiveness of the decisions, which lies, as is argued, in the reliability of the framework for decision-making and in the ability to translate the collaborative participation outputs into actions at different time-frames. Moreover, as the case-study deals with strategic spatial planning, a future oriented approach is needed to warrant the flexibility and robustness of the plan in addressing the uncertainty associated with long term objectives. Those are the critical issues to be handled in the multi-criteria analysis (MCA) framework which sustains the analytical hierarchy process (AHP) that was used to support the decision-making process.