社会地位来源对欺骗行为的影响——来自实验室实验的证据

如何减少欺骗是当前中国社会普遍面临的问题。文章结合社会地位理论和自我概念理论，研究了减少欺骗行为的机制。我们利用实验室实验，区分先赋性和自致性两种地位获取方式，用欺骗博弈来检验不同社会地位来源对欺骗决策的影响。结果发现，个人通过真实劳动获得的自致性社会地位可以显著减少欺骗行为；由于幸运得到的先赋性社会地位不能减少欺骗行为。同时，非物质收益的社会地位比赋予物质收益的社会地位更有效减少欺骗行为，说明物质收益是对市场化自我概念的提醒，从而无助于降低欺骗。研究结果在剔除策略性行为后依然稳健。研究有效验证了Mazar et al.（2008）关于影响欺骗行为的自我概念内在决定机制，并对各类组织提升诚信管理具有重要借鉴意义。     

The impact of B Corp certification on financial stability: Evidence from a multi-country sample

B Corps are firms certified by the non-profit B Lab for pursuing both economic and non-economic goals. Whether B Corps realize a higher financial performance has met mixed evidence. Drawing on the stability-change framework, we ask whether B Corp certification is associated with the level and volatility of financial performance. Also, expecting a greater focus on non-economic activities after certification, equity ratio may decline as shareholders may question the increased non-economic focus. Using nearest neighbor propensity score matched pair method, we draw on a multi-country sample of 355 B Corps and 623 non-B Corps. Our findings are not encouraging. B Corp certification does not provide financial gains nor financial stability, and equity ratio declines and becomes more volatile following certification. Our findings paint a gloomy picture of limited economic benefits and declining participation of equity holders following B Corp certification.     

关于计算机实验室的管理

计算机实验室的工作是非常重要的，必须建立完善的规章制度，规范实验室的管理，注重实验教学，保证学生实验课程的顺利完成。     

用户参与对服务创新绩效影响的实证研究——基于实验分析方法

通过设计分阶段、分组的服务创新实验,利用实验数据和观察信息对各组的服务创新方案进行对比,以验证用户参与对服务创新绩效的影响。构建了模糊熵权ELECTRE模型,对各组的服务创新方案进行综合评价和优劣排序。实验结果证明:用户参与对服务创新绩效有显著的正面影响,特别是对创新方案的独创性和用户价值有显著贡献;用户参与情境对创新结果有重要影响;用户、服务提供者与利益相关者合作是服务创新的有效途径。     

农村土地使用权流动研究

本文站在各个角度, 对当前土地使用权流动所面临的困惑进行了深入的分析, 揭示了土地流动的主要障碍是土地使用权流动的内生机制和外部环境、条件均不成熟。在分析的基础上提出了解决当前土地流动障碍的对策, 并进一步提出了土地证券化和土地股份公司制经营是土地流动和土地经营形式的发展趋势。     

Probabilistic energy forecasting using the nearest neighbors quantile filter and quantile regression

Parametric quantile regression is a useful tool for obtaining probabilistic energy forecasts. Nonetheless, traditional quantile regressions may be complicated to obtain using complex data mining techniques (e.g., artificial neural networks), since they are trained using a non-differentiable cost function. This article presents a method that uses a new nearest neighbors quantile filter to obtain quantile regressions independently of the data mining technique utilized and without the non-differentiable cost function. This method is subsequently validated using the dataset from the 2014 Global Energy Forecasting Competition. The results show that the method presented here is able to solve the competition’s task with a similar accuracy to the competition’s winner and in a similar timeframe, but requiring a much less powerful computer. This property may be relevant in an online forecasting service for which the fast computation of probabilistic forecasts using less powerful machines is required.     

院校实验室科学管理思考

增强科学研究能力是当前实验室建设的主要任务。如何完成好这一任务、做好实验室的管理工作,是当前院校值得探讨的问题。从更新教育观念、健全规章制度、优化队伍结构、实行开放管理、营造和谐氛围5个方面,提出了提高院校实验室科学管理水平的对策。     

Natural groups and economic characteristics as driving forces of wage discrimination

We investigate whether the origin of an employee provides different motives for wage discrimination in gift-exchange experiments with students and migrant workers in China. In a lab and an internet experiment, subjects in the role of employers can condition their wages on the employees׳ home provinces. The resulting systematic differences in wages can be linked to natural groups and economic characteristics of the provinces. In-group favoritism increases wages for employees who share the same origin as the employer, while an increased probability of being matched with an employee with a different ethnicity reduces wages. Furthermore, wages in the laboratory increase with the actual wage level in the employees׳ home province. Nevertheless, employees׳ effort is not influenced by these variables; only the wage paid in the experiment influences effort.     

CREATING A LAB IN THE FIELD: ECONOMICS EXPERIMENTS FOR POLICYMAKING

In this paper, I focus on the role that artefactual and certain framed field experiments (what I term “lab‐like field experiments” or LFEs) play in informing policymaking. Using examples, primarily from rural contexts in developing countries, I identify four main purposes of LFEs: (1) to test theories or heuristic principles; (2) to identify and estimate parameters associated with characteristics; (3) to explore the structural nature of parameters derived from empirical methods including other types of experiments; and (4) to assess methodological difficulties associated with LFEs and how these can impact parameter estimates. I address the importance of generalizability for LFEs that are intended to inform policymaking and in the process, emphasize the complementary role between LFEs and other empirical methods, in particular other experiments. Finally, I discuss nine basic principles for conducting LFEs and suggest four directions for future research.     

关于计算机实验室的管理

计算机实验室的工作是非常重要的，建立完善的规章制度，规范实验室的管理，注重实验教学，保证学生实验课程的顺利完成。