国际视野下的公司治理结构比较及启示

公司治理结构主要有两种模型,一个是以股东主权为基础的单边治理结构,一个是以利益相关者为基础的多边治理结构.本文认为,随着经济的发展,在传统经济条件与价值观念基础上建立起来的以股东主权为基础的单边治理结构,正逐步让位于以利益相关者为基础的多边治理结构.我国新《公司法》对多边治理结构的借鉴,反映了我国公司立法理念的进步,但仍亟需借鉴外国经验,进一步创新与完善.     

扎根营口做大陶瓷--记营口北方建材陶瓷城

面对愈加繁荣的市场景象,投资者郑建平露出灿烂的笑脸,他说,实践证明我的选择是正确的,营口真是个好地方.     

可持续发展的产业分类理论——立体产业分类理论

本世纪 60年代以来 ,自然资源产业、环保产业、高新技术产业 (包括信息产业 )等新兴产业迅速发展 ,其对可持续发展的促进作用 ,已经为各国经济发展的实践所证明 ,也给产业经济研究提出了现实的问题。传统产业分类理论没有对新兴产业的内涵、归属及其在产业结构中的地位等加以揭示 ,使得建立在传统产业分类理论基础上的产业结构演进理论解释现象、指导经济实践的能力减弱。作者在深入分析传统产业分类理论的局限的基础上 ,提出可持续发展的产业分类理论     

欧盟跨国治理经验及对中国大都市圈治理的启示

推动都市圈建设是当今中国城市化发展和区域经济发展的主导战略.欧盟作为一个跨国政治经济联盟,也是区域一体化发展的典范,其成功的跨国治理体制机制促使商品、资金、服务、技术、人才等实现了跨国自由流动与重组.全面分析和借鉴欧盟跨国治理的成功经验,无疑对完善长江三角洲地区、京津冀、粤港澳大湾区等跨省都市圈的治理体系和促进经济高质量一体化发展具有重要意义.未来,可从加强顶层设计、完善促进大都市圈发展的法律法规,建立大都市圈双层治理结构,研发和开发大都市圈多元化机制政策工具等方面来构筑跨界治理体系,进而实现经济高质量一体化发展的目标.     

Does Remittance Outflow Stimulate or Retard Economic Growth?

This article evaluates the association between remittance outflow (RMO) and economic growth in the Gulf Cooperation Council (GCC) countries. The results of this evaluation indicate that RMO Granger creates gross domestic product (GDP) per capita in three countries, namely, Bahrain, Oman and Saudi Arabia. Similarly, the results for causality from GDP per capita to RMO are significant for four countries, namely, Bahrain, Kuwait, Qatar, and Saudi Arabia. The findings differ from those of the household consumption model, stating that higher RMO will decrease economic activity. GDP per capita is the main determinant of RMO, suggesting that economic growth promises and encourages continuous RMO and vice versa. The adverse impact of RMO can be minimized by encouraging the local population to be productive in the private sector, as local productivity will reduce the huge influx of foreign workers and provide valuable local investment opportunities to lessen the amount being remitted.     

伦敦都市圈及其管理体制的发展演变及特点

中世纪王权与商人的结盟使伦敦城成为伦敦发展的内核,此后伦敦围绕该内核形成了地域范围与人口的不断扩张态势。但直到工业革命后很久,伦敦才逐步形成了双层政府管理体制,并且大都市区政府获得了越来越多的权力。伦敦都市圈在公共产品与服务的提供中还非常重视发挥私人资本的作用。     

Outlier detection in high-dimensional regression model

An outlier is defined as an observation that is significantly different from the others in its dataset. In high-dimensional regression analysis, datasets often contain a portion of outliers. It is important to identify and eliminate the outliers for fitting a model to a dataset. In this paper, a novel outlier detection method is proposed for high-dimensional regression problems. The leave-one-out idea is utilized to construct a novel outlier detection measure based on distance correlation, and then an outlier detection procedure is proposed. The proposed method enjoys several advantages. First, the outlier detection measure can be simply calculated, and the detection procedure works efficiently even for high-dimensional regression data. Moreover, it can deal with a general regression, which does not require specification of a linear regression model. Finally, simulation studies show that the proposed method behaves well for detecting outliers in high-dimensional regression model and performs better than some other competing methods.