Using web mining to explore Triple Helix influences on growth in small and mid-size firms

While broad “Triple Helix” frameworks of industry, government and university collaborations have the potential to enhance innovation and economic development at macro-levels, at the micro-level of the firm it should not be assumed that such relationships are uniform in character or outcomes. Each firm will negotiate and develop its own set of relationships with other innovation system actors based on its capabilities and strategies. To better understand these dynamics, particularly from the perspective of small and medium-sized enterprises, this study probes the micro-level characteristics and impacts of external enterprise relationships. Novel website-based Triple Helix measures are introduced that extend the analytical scope beyond customary indicators (such as patent analysis or entropy measures) to include communication and coordination among all three helices at the micro-level of individual firms. This approach is used to explore the micro-level characteristics and impacts of industry, government and university relations for small and medium-sized enterprises by analyzing a subset of 271 U.S. green goods small and medium-sized manufacturing enterprises. We compare the website-based measures with case study results to authenticate the method. A panel data regression model is then employed to analyze the simultaneous impacts of various combinations of industry, government and university links on firm sales growth (2008–2011), with controls for region, scale, and application domains. The ability of website-based indicators to distinguish the impacts of different mixes of Triple Helix relations is demonstrated. While relationships with all three helices have a positive total marginal effect on firm sales growth, local relationships and relationships that emphasize links with government and industry make particularly notable contributions to growth in the sample green goods enterprises. The implications of these findings are discussed.     

Group penalized logistic regressions predict up and down trends for stock prices

Stock prices are influenced by many economic factors, investors psychology and expectations, movement of other stock markets, political events, etc. Therefore, correctly predicting up and down trends for stock prices is an important puzzle in the financial field. In this paper we combine technical analysis with group penalized logistic regressions, and propose group SCAD/MCP penalized logistic regressions with technical indicators to predict up and down trends for stock prices. Firstly, we screen out 24 important technical indicators, divide them into the five different indicator groups, and construct group SCAD/MCP penalized logistic regressions for the three listed companies. Secondly, we apply the training set to learn the parameter estimators and the probability estimators for the two group penalized logistic regressions, adopt the test set to obtain confusion matrices and ROC(Receiver Operating Characteristic) curves to assess their prediction performances, and found that the AUC values to the three companies all exceed 0.78. Finally, we compare group SCAD/MCP penalized logistic regressions with SCAD/MCP penalized logistic regressions, and found that the two group penalized logistic regressions perform better than the two penalized logistic regressions in terms of prediction accuracy and AUC. Therefore, in this paper we develop a new prediction method by combining group SCAD/MCP penalized logistic regressions with technical indicators to improve the prediction accuracy and bring huge economic benefit for investors.     

探讨和认识普通程序简化审

刑事案件普通程序简化审方式的启动,在司法活动起到了一定的积极作用,但由于其是刑事审判方式改革中的一种新的尝试,不可避免地有不完备之处,对该程序提出以下看法,希望完善其不足之处。     

Pricing of Forward and Futures Contracts

There has long been substantial interest in understanding the relative pricing of forward and futures contracts. This has led to the development of two standard theories of forward and futures pricing, namely, the Cost-of-Carry and the Risk Premium (or Unbiased Expectations) hypotheses. These studies have modelled the relationship between spot and forward/futures prices either through a no-arbitrage condition or a general equilibrium setting. Relatively few studies in this area have considered the impact of stochastic trends in the data. With the emergence of non-stationarity and cointegration in recent years, more sophisticated models of futures/forward prices have been specified. This paper surveys the significant contributions made to the literature on the pricing of forward/futures contracts, and examines recent empirical studies pertaining to the estimation and testing of univariate and systems models of futures pricing.     

Economic development and growth in Colombia: An empirical analysis with super-efficiency DEA and panel data models

In this paper, we analyse economic development and growth through traditional measures (gross domestic product and human development index) and Data Envelopment Analysis (DEA) in Colombian departments over the period 1993–2007. We use a DEA model to measure and rank economic development and growth from different approaches such as poverty, equality and security. The results show considerable variation in efficiency scores across departments. A second-stage panel data analysis with fixed effects reveals that higher levels of economic activity, quality life, employment and security are associated with a higher efficiency score based on the standards of living, poverty, equality and security. All findings of this analysis should demonstrate that economic development and growth could be achieved most effectively through a decrease in poverty, an increase in equality, a reduction in violence, and improved security. This indicates the need to generate effective policies that guarantee the achievement of these elements in the interest of all members of society.     

Training trends: Macro,micro, and policy issues

The scope of the training enterprise is vast, the field is dynamic, and multi-level issues confront training researchers. After identifying three “mega trends” – globalization, technology, and demographic changes - this paper reviews training trends at the macro level, the micro level, and emerging policy issues and links each one to the mega trends. The macro-level trends - increasing demands for personal and professional development by job seekers and employees, the effects of digital technology on work, structural changes in labor markets, increasing training opportunities for non-standard workers, and training as an important aspect of an employer's brand - reflect broad trends in the economy. Micro-level trends - better understanding of requirements for effective learning; use of short, digital lessons; and options for optimizing learning and preventing skill and knowledge decay - each focus on improving the quality of training. Policy issues - training needs in small and medium-sized enterprises, the need for “middle skills”, and vocational education - raise vexing issues for all stakeholders. Together, macro, micro, and policy issues reflect ongoing challenges for researchers, practitioners, and policy makers everywhere.     

Public support to innovation and imitation in a non-scale growth model

This paper studies technology policy within a version of Jones's [1995. R&D-based models of economic growth. Journal of Political Economy 103, 759–784] non-scale R&D-based growth framework that incorporates imitation of foreign techniques. In the model, imitation is the most important source of productivity growth at the beginning of the convergence process, whereas innovation dominates later on. In addition, the transitional dynamics of the model can account for well-known empirical regularities regarding the relationship between the level of economic development and public support to technology innovation and imitation. The paper shows as well that, even though policy in Jones-type non-scale models has no long-run growth effects, level effects can be substantial.     

Kantorovich inequalities and efficiency comparisons for several classes of estimators in linear models

New matrix, determinant and trace versions of the Kantorovich inequality (KI) involving two positive definite matrices are presented. Some of these are used to study the efficiencies of minimum-distance (MD) estimators, generalized method-of-moments (GMM) estimators and several estimators specific to longitudinal or panel-data analysis. They are also used to give upper bounds for the determinant and trace of the asymptotic variance matrix of a weighted least-squares (WLS) estimator in the generalized linear model.     

The costs of suboptimal dynamic asset allocation: General results and applications to interest rate risk, stock volatility risk, and growth/value tilts

The recent theoretical asset allocation literature has derived optimal dynamic investment strategies in various advanced models of asset returns. But how sensitive is investor welfare to deviations from the theoretically optimal strategy? Will unsophisticated investors do almost as well as sophisticated investors? This paper develops a general theoretical framework for answering such questions and applies it to three specific models of interest rate risk, stochastic stock volatility, and mean reversion and growth/value tilts of stock portfolios. Among other things, we find that growth/value tilts are highly valuable, but the hedging of time-varying stock risk premia is less important.     

Price and quantity competition among heterogeneous suppliers with two-part pricing: applications to clubs, local public goods, networks, and growth controls

Models of club goods, local public goods, and growth controls appear to have theoretical structures distinct from usual oligopoly models. This article shows, however, that they are special cases of a generalized oligopoly model that incorporates the possibility of two-part pricing and externalities between consumers (either congestion or network externalities). Our generalized two-part pricing model not only serves as a synthesis of a wide range of models but also allows us to obtain several new results on equilibrium prices. Another advantage of our model is that it can be interpreted as a reduced form of more complicated models that have spatial structures. This facilitates extension to the case where firms are heterogeneous and the number of firms is arbitrary.     

运用价值工程理论 提高英语教学效果

英语教学多年来普遍存在高投入、低产出的问题。价值工程理论研究如何降低成本、提高效益。本文试图运用价值工程理论,分析探索英语教学费时低效的成因,并在该理论的指导下寻求一定的解决办法。     

谈利用科技情报促进企业自主创新

文章介绍了科技情报在企业自主创新中的重要作用,探讨了科技情报机构为企业服务的有效途径和方法,并提出新时期科技情报工作更好为企业服务的措施。     

谈利用科技情报促进企业自主创新

文章介绍了科技情报在企业自主创新中的重要作用,探讨了科技情报机构为企业服务的有效途径和方法,并提出新时期科技情报工作更好为企业服务的措施。     

利用党建信息化加强教育管理的研究与探索

信息化时代的到来,为党员教育和管理提供了广阔的舞台。本文分析了现有的党内信息管理系统、党建网站、网上党校、BBS等平台在党员教育管理工作中发挥的作用。同时本文结合高校党员学生流动性大,培养和发展过程长等特点,探索并分析了使用党建触摸电子平台来实现对党员、积极分子的教育培养。利用信息管理系统和触摸屏等重要工具的结合,解决基层党员教育培训缺乏系统化组织以及党员教育培训形式枯燥化等问题,全面加强基层党建工作和强化党员教育管理,促进基层党建工作的全面提升。     

如何运用司马迁的黄老思想指导实践

黄老之学,实始于战国,汉初以黄老为显学,而司马迁以史为鉴,集战国黄老之术、汉初黄老之治与历史治道经验之大成,他的黄老思想,为汉帝国之征伐一统规划了治国的蓝图,构成了其完整的黄老政治哲学,也对现代社会有着重大的指导意义。     

以改革创新精神全力推进企业党的建设

文章着重从领导班子建设、党组织和党员队伍建设、反腐倡廉等3个方面阐述了国有企业党建工作的创新思路。笔者认为要从理论武装、能力提升、作风改进、制度完善等4个方面进行领导班子建设的工作创新;要坚持以人为本,充分发挥党员的主体作用,努力构建“党组织为党员服务,党组织和党员为群众服务”的工作机制;要紧贴企业改革发展大局,健全教育制度;推行监督、惩治并重的企业预防腐败体系,从而不断开拓国有企业党建工作新局面。     

OECD Efforts to Address the Measurement and Policy Challenges Posed by the Information Society

The OECD has acted as a forum for the discussion of policies regarding the information society for over 20-years, producing guidelines and recommendations in areas such as privacy of personal information, computer security, cryptography, regulatory reform of communications, and most recently on-line consumer protection and the taxation of e-commerce. By and large, this work was undertaken without the benefit of statistical measures. But the economic performance of a number of OECD Member countries during the 1990s underscores that the policy challenges being posed by the information society are increasingly economic in nature—how ICT is affecting productivity, growth rates, inflation, labour markets etc.—necessitating the need for statistically rigorous data. This paper outlines how recent efforts by national statistical offices to improve this situation have allowed researchers to gain new insight into the economic impact associated with ICTs and applications like e-commerce, leading to a number of policy recommendations as to how best to exploit the economic potential of these technologies. The paper ends by outlining important policy issues that require new statistical efforts.     

如何有效利用建筑技术经济指标进行施工图设计优化——以某商务办公楼为例

随着城市化建设的不断发展,建设节奏也随之加快,项目建设的周期较之过去也正不断地被压缩。这种现状使得设计者在施工图设计时,对施工图设计的周密性降低,往往对建设成本和施工难易度等方面的考虑不足。这样设计的优化的过程就显得更为重要了,笔者通过多年的实践,以实际的项目为例,从利用建筑经济技术指标的角度探讨施工图设计的优化。