职业学校学生学习心理之浅谈

职业学校学生的学习心理在学习动机、学习兴趣、学习能力等方面有其特殊性。职业教育应合理构筑教 学计划、强化专业技能培训,提倡“以学为中心”培养学生学习兴趣,帮助、辅导学习有困难的学生。     

FDI对中国经济发展的绩效及对策分析

改革开放以来,中国FDI流入量不断提高,对经济发展的作用也日益重要。今后,应当根据全球FDI流动的新趋势,加快我国吸收外FDI方式创新。     

层次分析法在战略对应模型中的应用研究

层次分析法AHP（Analytic Hierarchy Process)是70年代末期美国运筹学家Saaty提出的一种定性与定量分析相结合的决策分析方法，由于它能够把决策者的主观判断和推理紧密地联系起来，对决策者的推理过程进行量化描述，因此，它在结构较为复杂，决策准则较多且不易量化的决策问题中得到了广泛应用。     

基于岗位胜任力的某通信服务分公司的中干培训体系构建

为适应公司数字化转型,某通信服务分公司在2019年调整了中干组织结构。调整1年后,高层发现很多中干急缺管理、专业知识等相关知识和技能,这就需要公司构建培训体系来提高中干的整体能力和素质来适应快速的转型。论文通过问卷调研、统计分析、专家咨询法等方法构建了适应通信服务公司转型的中干培训体系,试图为构建完整的通信服务公司中层管理者胜任能力模型评价体系奠定基础。     

Forecasting recovery rates on non-performing loans with machine learning

We compare the performance of a wide set of regression techniques and machine-learning algorithms for predicting recovery rates on non-performing loans, using a private database from a European debt collection agency. We find that rule-based algorithms such as Cubist, boosted trees, and random forests perform significantly better than other approaches. In addition to loan contract specificities, predictors that refer to the bank recovery process — prior to the portfolio’s sale to a debt collector — are also shown to enhance forecasting performance. These variables, derived from the time series of contacts to defaulted clients and client reimbursements to the bank, help all algorithms better identify debtors with different repayment ability and/or commitment, and in general those with different recovery potential.     

第二产业主导产业的选择与实证分析

中国目前仍处于传统工业化中期,今后的任务是推进工业现代化,向发达经济阶段迈进.第二产业主导产业的发展在整个经济发展中处于举足轻重的地位,因此,第二产业主导产业的选择是加速发展第二产业的关键,正确确定目前第二产业中的主导产业,对中国第二产业以及整个国民经济的发展意义重大.本文以第二产业主导产业选择的基准为依据,运用主成份分析法,确定了2000-2050年各阶段第二产业的主导产业.     

国有企业负责人素质能力评价与分析

基于国有企业负责人素质能力的影响因素，根据评价指标体系设计的原则，以国有企业负责人为研究对象，确定了由两个模块、六个要素、十八个指标构成的评价指标体系；采用模糊综合评价方法对河北省国有企业负责人的素质能力进行实证评价分析。结果表明，该评价方法可运用于其他国有企业负责人素质能力的评价研究。     

The Effect of Protest Votes on the Estimates of WTP for Use Values of Recreational Sites

Contingent valuation studies are often characterized by a considerable number of protest responses, which may cause selectivity bias on the final estimates for WTP. Sample selection models can detect and – if necessary – correct selectivity bias. In economic applications where the relevant dependent variable is continuous, sample selection models are generally estimated using Heckman's 2-step method rather than the FIML estimator. Either method has its own drawback: computational complexity for the FIML method, susceptibility to collinearity problems for the 2-step method. Using data on valuation of forest resources for recreational use, we analyse the performance of the two estimators. In this application, given the presence of some collinearity, the FIML is preferred to the 2-step method. A procedure is outlined to deal with selectivity problems in similar settings.     

人力资源管理系统模型研究

本文依据信息技术对人力资源管理的影响,建立了人力资源管理系统模型,并提出人力资源管理思维、方法及原则。     

Health Damage of Air Pollution: An Estimate of a Dose–Response Relationship for the Netherlands

This paper estimates the dose-response relationship between air pollution and the number of work loss days for the Netherlands. The study is based on illness data (work loss days) for the Dutch labour population and average year concentrations of air pollution in 29 districts. The dose-response relationship has been estimated by means of two different techniques: the ordinary least squares method (OLS) and the one-way fixed-effects method (OWFEM), which we consider to be more adequate. In general health effects are much smaller when OWFEM is applied than if OLS is used. With OWFEM a significant relationship is found between sulphate aerosol (SO₄), ammonia (NH₃) and the number of work loss days (WLDs). Particulates (TSP), O₃ and SO₂ have no significant effect on the number of WLDs. These results differ from those obtained in studies in the United States, which indicate that particulates (TSP) and other small particles, ozone (O₃) and to a lesser extent SO₄ and SO₂ significantly influence the number of WLDs.