产业组织角度的合作R＆D研究述评

合作R＆D是企业整合研发资源的有效组织形式。本文对产业组织角度的合作R＆D研究进行了较为细致的综述。首先列举了对合作R＆D理论具有一定影响的经验研究；然后梳理了产业组织角度的合作R＆D主流理论；之后介绍了较有代表性的非主流理论研究；最后是全文结论和留待进一步研究的论题。     

让精读课活起来——浅谈课堂上调动学生积极性的几个方法

大学外语教学中的精读课,其教学效果直接影响学生们的学习质量。找到适合自己和学生们的教学方法,就一定会调动师生双方的积极性,做到教学相长,寓教于乐。     

中国资本市场的中长期动量效应和反转效应——基于Fama和French三因素模型的进一步研究

基于国内外学者对于中国股票市场的动量效应和反转效应的研究,利用1994~2004年中国股票市场的经验数据,借助于Fama和French的三因素模型,对中国股市的动量和反转效应进行解释。研究结果表明,Fama和French三因素模型的解释力度不大。     

高职教育实践性教学初探

加强高等职业教育的实践性教学,是高等职业教育教学改革的一个关键的突破口。只有加强实践性教学的探讨和创新,才能突出高职教育的特色。要积极探讨建立实践性教学为主的模式和运行机制,如实践性教学导师制、学生模拟实习公司等。同时,要处理好理论教学与实践教学的关系,处理好培养人才"宽"与"窄"的关系。     

“一带一路”倡议下我国重点省市物流绩效评价研究

物流建设是“一带一路”倡议发展的重点。通过物流设施建设、拓展物流业发展的新方向,促进地区融合、加强多边贸易、加速互联互通,是我国现行经济格局下“一带一路”重点建设省市物流发展的新走向。文章从政府行为、社会效益、服务水平三个维度构建了包含地区经济、物流政策、数字物流等14个指标的物流绩效评价指标体系,利用数据包络法对我国“一带一路”重点建设省市的物流绩效进行评价,发现我国物流业发展存在地区差异大、服务水平过低的现象。结合地方政府的政策解读,发现我国地区物流绩效水平呈现出一定的政策相关性,可通过合理的政策引导促进地区物流业的发展。     

乡镇(街道)固定资产管理的主要问题和方法

乡镇固定资产管理是乡镇财务管理的一项重要内容,对维持乡镇基础性设施建设持续健康发展都有着重要意义。但是在对乡镇的各类审计中发现,我国乡镇的固定资产管理还存在大量问题,应引起相关部门的重视。论文针对乡镇固定资产管理中存在的问题,分析形成问题的原因,并提出应对措施与建议。     

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.     

Who are better monitors? Comparing styles of supervisory and independent directors

This paper compares the unobservable style effect between independent directors and supervisory directors on firm performance. Utilizing the unique Chinese board system with both independent and supervisory directors and a large panel data of 2,240 public firms from 2003 to 2017, this paper finds that both supervisory and independent style is crucial in determining variations of firm performance. The effects of both independent and supervisory director style are less significant when the “type II” agency problem is more severe in a firm. Moreover, outside independent director style is more effective when information costs are low or when firms need more outside resources, while inside supervisor director style is more effective when there are no major internal changes. Finally, the results also suggest that increasing qualified supervisor representations are beneficial to firms.     

General equilibrium impact of an energy-saving policy in the public sector

We analyse a disregarded environmental policy instrument: a switch in government expenditure away from energy (or other natural resources) and toward a composite good which includes energy-saving expenditure. We first develop two variants of an analytical general equilibrium model. A composite good is produced with constant returns to scale, and energy is imported or produced domestically with diminishing returns, yielding a differential rent to its owners. The government purchases energy and composite goods from private firms. Such a policy unambiguously increases employment. It also raises private consumption and welfare under two conditions: (i) it is not too costly and (ii) the initial share of the resource is smaller in public spending than in private consumption, or the difference is small enough. We then run numerically a model featuring both importation and domestic production of energy (oil, gas and electricity), for the OECD as a whole. Simulations show that employment, welfare and private consumption rise. We provide magnitudes for different parameter values. Earlier versions of this paper have benefited from conference participants at the European Council for an Energy-Efficient Economy, International Society for Ecological Economics World Congress, CIRED seminar and EUREQua environmental economics seminar. We especially thank Michèle Sadoun and two anonymous referees. The usual disclaimer applies.     

Threshold models for trended time series

This paper presents the theoretical development of a new threshold autoregressive model based on trended time series. The theoretical arguments underlying the model are outlined and a nonlinear economic model is used to derive the specification of the empirical econometric model. Estimation and testing issues are considered and analysed. Additionally we apply the model to the empirical investigation of U.S. GDP.This paper is the result of work carried out for the author's Ph.D. thesis. I would like to thank Hashem Pesaran for his help, encouragement and insights during the preparation of this paper. I also thank Gary Koop and Sean Holly for helpful comments. Financial assistance from the Economic and Social Research Council is gratefully acknowledged.