中国风电产业技术创新对风电投资成本的影响

本文通过对学习曲线模型进行拓展,将规模效应对成本下降的影响从技术创新的影响中分离出来,解决了变量遗漏偏差的问题。并采用过程仿真方法,解决了中国风电时间序列数据样本过小的难题,提高了测算风电产业对新技术学习率的准确度。研究发现,中国风电产业的学习率仅为12.7%左右,即当风电累计装机容量增加2倍时,风电的单位投资成本因技术创新的下降率只有12.7%左右。由技术创新带来中国的成本下降不仅远远低于发达国家的,而且低于中国的太阳能等其他的新型可再生能源。因此政府在加大对风电基础科研投入的同时,应将政策的重点放在新技术的转化上。     

大学英语听力课堂情景教学设计研究

建构主义教学模式强调以学生为中心,学生为认知的主体和意义的建构者,教师只是对学生的意义建构起帮助和促进作用。本文以建构主义学习理论为基础,探讨建立以学生为中心,以教师为主导的大学英语听力情景教学模式的课堂教学设计原则和步骤,通过情境创设和小组协商,提高学生学习的积极性和主动性,从而提高课堂教学效率。     

Organizational learning: Proposal of an integrative scale and research instrument

This study describes the development and validation of an instrument to measure organizational learning. Starting out from a comprehensive analysis of the main organizational learning models in the specialized literature, the organizational learning scale in this study consists of 18 items forming five dimensions: the ontological levels of learning, modes of knowledge conversion, learning sub-processes, types of learning, and feedback and feed-forward flows of learning. A survey to large Spanish companies provides data from 167 companies. Confirmatory factor analysis tests the construct measurement model and validates the scale. The results of the study indicate that the scale satisfies the criteria for reliability, and validity. The exploratory factor analysis permits the identification of four factors which make theoretical sense: information systems, the existence of a framework for consensus, procedures for the institutionalization and broadening of knowledge, and forms of management and the genesis of knowledge. The new construct promises to be more comprehensive, integrative and eclectic than previous constructs, achieving its broad scope by incorporating a number of the main theoretical perspectives on the matter. For practitioners, the scale could form the basis of an auditing tool, as well as being a useful target for organizational change initiatives.     

Learning by doing,spillovers and shakeouts

This paper studies industry evolution driven by non strategic learning by doing and spillovers. We characterize a dynamic process of cost and output changes and its effect on welfare and industry profits. The paper gives conditions for shakeouts to occur and analyzes the key factors affecting these conditions. Since shakeouts could lead to a long-run social loss due to higher market concentration, there is a role for a government to play in limiting unnecessary shakeouts. The most effective way to do so is to enhance spillovers.JEL Classification: L11, L13, O31Correspondence to: Michael TroegeWe would like to thank Hans Mewis, Christophe Moussu and an anonymous referee for valuable comments and suggestions. We also benefited from comments of seminar participants at WZB, Humboldt University, Northwestern University and the EEA/ESEM 1999 meetings. Part of the research was carried out while Michael Tröge was visiting Northwestern University. Financial support by the German Research Council (DFG) is gratefully acknowledged.     

Can evolutionary algorithms describe learning processes?

Evolutionary algorithms have attracted more and more the attention of economists in recent years. Repeatedly it is claimed that they are an adequate tool to describe learning processes within a population of individuals. The present paper examines this claim. To this end, a learning model is set up that contains the three elements of variation, elimination, and imitation that are claimed to correspond with the processes of mutation, selection, and replication of biological evolution. Subsequently, this model is compared with a formulation of evolutionary algorithms. The comparison reveals that although both processes have a similar structure there are crucial differences between the two dynamics.     

An empirical investigation of the roles of prior knowledge and learning activities in technology transfer

This study analyzes 120 university–industry technology transfer projects. A significant positive relationship was found between the learning activities performed by the firm during the development and implementation stages of the technology transfer project and the benefits to that firm from the project. In contrast, prior knowledge of the firm about the existing technology was found to have only a marginal contribution to the project benefits. However, further exploratory analysis based on high and low levels of technical and organizational uncertainty revealed more provocative relationships.