Innovation, Imitation and Intellectual Property Rights: A Note on Helpman's Model

This note analyses the effect of the policy of tightening Intellectual Property Rights (IPR) on the rate of innovation in the North and on the welfare in both North and South in a model which is otherwise identical to Helpman (1993) except in the concept of knowledge capital. We assume that the South based imitated products do not contribute to the knowledge capital in the North. It is shown that the tightening of IPR raises the rate of innovation in the North and may improve the welfare of both North and South. These results are significantly different from those in Helpman (1993).     

The interactions between natural and physical capitals in the tourist lifecycle model

This paper presents a model of the interactions between natural resources and physical capital in the evolution of a tourist destination. The projected trajectory of the number of tourists approaches the classical lifecycle pattern. The post-stagnation phase is analyzed within the model, obtaining different patterns which depend on the impacts of physical capital on both demand and environmental degradation. The magnitudes of these impacts are determined by the type of tourism. An empirical application to the case of the tourist industry in the Canary Islands (Spain) is presented, showing that the model can represent the general characteristics of the post-stagnation phase of a tourist destination.     

Economic principles and fundamental model of the sustainable utilization of ecological resources

1. Introduction The mainstream of present economy is the green eco-economy, including green products, green production, green consumption, green market, green industry, and so on. These are the concrete demands of sustainable development for economic life. With the development of economy, society and science and technology and the increase of the population, the abundant ecological resources become more and more scarce [1]. So the quantity and quality of eco- logical resources can’t increasin…     

技术资本价值增值效应：基本内涵、关键因素与政策取向

作为企业知识创造与应用的重要途径，技术资本具有显著的动态竞争优势、规模经济、范围经济和速度经济等效应，实现了技术研发、生产与市场的结合，促进了技术的有效转化及资本价值的增值。技术资本属性、技术体制等是影响技术资本价值增值效应的关键要素。旨在促进技术资本化的政策，应以促进这些要素积极效应的释放为重点。     

西北银行业知识资本结构中人力资源的有效性研究

建立了银行业知识资本评估模型 ,以西北地区 2 0余家银行作为研究对象 ,运用数据包络 (DEA)方法对各银行知本结构中人力资源能力的有效性进行评估 ,从而衡量人力资源能力对银行知识资本的影响。在辨别资本有效性的同时 ,对银行的投入产出规模作相应的调整 ,得到了从人力资源角度实现知识资本增值的有益途径     

试论企业经营者人力资本激励与约束

本文从企业经营者人力资本的一般特征入手,进一步延伸分析了企业经营者人力资本的产权特征,在此基础上论述了企业经营者激励与约束的制度选择,即赋予企业经营者剩余控制权和部分剩余索取权。     

社会资本外部性的经济分析——以信任关系为例

以往理论研究与经验研究均指出社会资本具有正面的效应,但对这种效应是怎样取得的并无共识.我们尝试建立一个不完全信息动态博弈模型,说明社会资本-信任如何产生正的外部性,亦即产生超出个体理性计算之外的利益.我们的分析得出这样的结论,在一个多人互动的环境中,能否达到彼此合作或彼此信任,虽然会受到欺骗者所遭到的惩罚与欺骗利益多少的影响,但主要受到所处环境中具有社会资本者人数比例的影响.因此,可以说社会资本具有正的网络外部性,信任者人数越多,信任者所享受到的利益越大.     

论风险投资中的尽职调查

通过对20多位风险投资家的调研,对他们尽职调查所必备的条件、策略及过程进行了系统分析,总结出其内在规律,以期对我国风险投资项目的筛选有所启示.     

Schumpeter's circular flow,learning by doing and cyclical growth

A two-sector growth model with endogenous technical change is presented. Concerning technical change, we assume that it is reflected by increases in the stock of human capital which are acquired through learning by doing. As a result, it turns out that transitory or, using the Hopf bifurcation theorem, persistent oscillations of the economic variables may be the outcome. Thus we are able to show that learning mechanisms alone may be sufficient to destroy the circular flow as described by Schumpeter.     

An effective going concern prediction model for the sustainability of enterprises and capital market development

The purpose of this study is to construct a two-stage effective and innovative going concern prediction model to predict going concern doubt for the sustainability of enterprises and capital market development. Samples of this study are the companies listed on the Taiwan Stock Exchange or the Taipei Exchange, totalling 196 companies and including 49 companies with going concern doubt and 147 normal companies (with no going concern doubt). The data are taken from the Taiwan Economic Journal (TEJ) and the Market Observation Post System during the period from 2001 to 2016 (totalling 16 years). This study adopts a two-stage way to construct the going concern prediction models. In Stage I, the traditional statistical method of stepwise regression (SR) and the data mining technique artificial neural network (ANN) are applied to select the important variables. In Stage II, two decision tree algorithms (data mining techniques): classification and regression tree (CART) and C5.0 are used to establish the prediction models. The results show that the SR + CART model has the highest going concern prediction accuracy, with an overall accuracy of 87.42%.