试论创新教育及创新能力的培养

界定了创新教育的概念与内涵，论述了创新教育与素质教育和创造教育这两个相关概念之间的联系和区别，并提出了培养学生创新能力的对策。     

Diversification, convex preferences and non-empty core in the Choquet expected utility model

Summary. We show, in the Choquet expected utility model, that preference for diversification, that is, convex preferences, is equivalent to a concave utility index and a convex capacity. We then introduce a weaker notion of diversification, namely “sure diversification.” We show that this implies that the core of the capacity is non-empty. The converse holds under concavity of the utility index, which is itself equivalent to the notion of comonotone diversification, that we introduce. In an Anscombe-Aumann setting, preference for diversification is equivalent to convexity of the capacity and preference for sure diversification is equivalent to non-empty core. In the expected utility model, all these notions of diversification are equivalent and are represented by the concavity of the utility index. Received: July 27, 1999; revised version: November 7, 2000     

Capacity constrained firms in (labor) markets with adverse selection

Summary. We discuss a competitive (labor) market where firms face capacity constraints and individuals differ according to their productivity. Firms offer two-dimensional contracts like wage and task level. Then workers choose firms and contracts. Workers might be rationed if the number of applicants exceeds the capacity of the firm. We show that under reasonable assumptions on the distribution of capacity an equilibrium in pure strategies (by the firms) exists. This result stands in contrast to the case of unlimited capacity. The utility level is uniquely determined in equilibrium. No rationing occurs in equilibrium, but it does off the equilibrium path. Received: December 29, 1999; revised version: November 30, 2000     

湖南利用外资的三大结构分析

湖南利用外资的产业结构中制造业与房地产业是外商投资的密集产业.湖南利用外资形式以对外借款和外商直接投资为主.从分布结构来看,湖南利用外资主要集中在沿京广线的五个主要城市.     

设施管理研究的进展

针对目前设施管理行业巨大的发展潜力以及国内设施管理研究相对滞后的现状，在分析大量国外资料的基础上，回顾了设施管理的发展历程，介绍了设施管理的范围、内容、涉及的主要问题及其绩效评估的研究进展，探讨了设施管理的未来研究方向。     

日本民事诉讼法学的理论演变与解释方法论

解释方法论在日本民诉法研究中并不是显著的命题。长期以来,日本民诉法解释并不特别重视法律条文和立法者本意,解释方法论遵循的主要是利益衡量论,近年始有学者对它提出批判。日本民诉法解释方法论选择既源于民事诉讼法的目的被定位于纠纷解决,也与战后比较法研究中利益衡量论的引入有关。日本民诉法利益衡量论有别于民法中的利益衡量论,也有别于受德国法影响的亲实体法解释方法论,这种方法论并不局限于衡量或分配原被告之间的财产或价值,更多地蕴含了对作为制度利用者的当事人的便利、 制度运营者的公共利益、民事诉讼程序的动态发展等要素的考量。     

The effects of capacity reduction policy under the interest rate peg in China

Capacity reduction has been a recurrent theme in China's economic policy. The central government takes various administrative measures to remove excess capacity, accumulated mainly due to underpriced production factors and distorted incentives. I evaluate the de-capacity policy in a series of models and prove that its effects depend critically on its persistence and monetary policy regime. Under an interest rate peg, a transient policy that changes markup temporarily is ineffective and even expansionary, whereas a persistent policy is effective due to a negative wealth effect. A permanent de-capacity policy can lead to over-reactions in macro variables because the interest rate peg adds positive feedback to the economy. Therefore, the de-capacity policy has greater uncertainty under the interest rate peg. As a policy tool, it easily deviates from its target and brings about excessive volatility. However, long-run price stability and a gradually advanced de-capacity policy are conducive to the achievement of policy targets.     

高技术服务业与资源型产业融合对资源型企业两阶段创新效率的影响

基于新技术与新知识的高技术服务业跨界融合是传统企业实现创新资源优化配置、创新研发和商业转化的重要因素。因此，运用熵指数测度全国各省区高技术服务业与资源型产业融合水平，并利用2014—2017年资源型上市公司面板数据检验两大产业融合对资源型企业两阶段创新效率的影响，同时探讨企业吸收能力的调节作用。结果表明：现阶段高技术服务业和资源型产业融合程度不高，但发展态势良好，处于从失调走向协调的转变期；产业融合对资源型企业创新研发效率短期无显著影响，长期存在抑制作用，资源型企业技术能力刚性导致对新技术的排斥，且较大的产业间认知差距削弱了产业间良性互动带来的技术扩散效应；产业融合对创新转化效率呈先抑制、后促进效应，就长期而言，产业融合具有良好的创新转化推动力；资源型企业吸收能力分别在产业融合与滞后一期创新研发效率及滞后三期创新转化效率的关系中起正向、负向调节作用，表明资源型企业吸收能力构建尚不全面。     

Integrating uncertain user-generated demand data when locating facilities for disaster response commodity distribution

This paper presents a new facility location problem variant with application in disaster relief. The problem is unique in that both verified data and unverified user-generated data are available for consideration during decision making. The problem is motivated by the recent need of integrating unverified social data (e.g., Twitter posts) with data from more traditional sources, such as on-the-ground assessments and aerial flyovers, to make optimal decisions during disaster relief. Integrating social data can enable identifying larger numbers of needs in shorter amounts of time, but because the information is unverified, some of it may be inaccurate. This paper seeks to provide a “proof of concept” illustrating how the unverified social data may be exploited. To do so, a framework for incorporating uncertain user-generated data when locating Points of Distribution (PODs) for disaster relief is presented. Then, three decision strategies that differ in how the uncertain data is considered are defined. Finally, the framework and decision strategies are demonstrated via a small computational study to illustrate the benefits user-generated data may afford across a variety of disaster scenarios.     

Optimal capacity and operation design of a robot logistics system for the hotel industry

This study introduces an optimal capacity and operation design of a robot logistics system that can reduce human workload in the hotel industry. In hotels, there are several duties that can be replaced by robots such as accompanying guests to the certain areas, delivering specific items to the guest rooms, and transporting some items that guests want to be removed from the guest rooms. To apply the robot logistics system in the hotel industry, the capacity and operation design should be prepared adequately. For that, a mathematical model-based optimization technique is used to decide the number of robots with the concept of minimizing total investment cost and to derive the optimal job assigning with the purpose of maximizing total covered jobs. In addition, a numerical example is performed to validate the proposed mathematical model and the sensitivity tests are examined to reflect the random features.