高技术产业国家价值链网络结构与省域增加值分解——来自电子信息产业的证据

为破解我国在高技术产业全球价值链中面临的低端锁定困境,需要构建并完善国家价值链分工体系。构建中国高技术产业国家价值链内生增值传导网络结构分析框架,并以电子信息产业为例,对省域国内增加值进行分解。结果表明,现阶段中国电子信息产业上游技术研发能力较弱,整体增值能力不强;下游间接关联产业部门数量及关联系数值仍待提高;除中游外,上下游出口国内增加值偏低,国际竞争力较弱;东、中部省域国内完全增加值占据优势,内生增值能力方面各有所长,东北、西部省域国内完全增加值及其内生增值能力均较弱。同时,中国省域国际垂直专业化程度未表现出显著地理地区特征,即使同一地域的省域之间也存在不同程度差异。     

数字经济如何影响制造业全球价值链地位：机制分析与空间溢出

当前,数字经济已成为稳定经济增长的新优势。构建数字经济影响制造业全球价值链地位的数理模型,利用2005—2020年中国省级面板数据,从数字产业化和产业数字化两方面构建省级数字经济发展水平综合评价指标体系,实证研究数字经济对制造业全球价值链地位的影响。结果表明,数字经济能显著提升省域制造业全球价值链地位且具有动态非线性递增效应;与东部地区和非“一带一路”沿线地区相比,数字经济对中西部地区和“一带一路”沿线地区制造业全球价值链地位的提升作用更大。就内在机制而言,提高技术创新能力和推动产业结构升级是数字经济影响制造业全球价值链地位的两条基本路径。进一步的空间杜宾模型分析表明,数字经济对制造业全球价值链地位的影响存在空间溢出效应。     

Business models and their relationship with marketing: A systematic literature review

The purpose of this paper is to identify the degree to which the marketing discipline has hitherto engaged with business model literature. The results of a systematic review of business model literature are presented and utilise both the citation counts and the h-index to objectively demonstrate the limited engagement that the marketing discipline has had with business model literature, and the limited degree that the discipline has influenced that literature. The key findings reveal a growing, but formative body of literature that, hitherto, has been dominated by non-marketing disciplines and which has only just begun to be addressed by present day marketing scholars. Using the most influential articles identified in the analysis, the paper concludes with a case for the empirical development of the business model concept with industrial marketing scholarship. Such development is argued to be grounded in the potential of open business models, co-created with multiple stakeholders in a supply chain and the end users of a value proposition.     

国际储备的演进与储备货币的价值分析

进入新世纪全球国际储备规模快速扩张,结构显著变化,进一步凸显了当代国际货币体系固有的体制性缺陷。研究表明,主导新世纪国际储备的主权信用货币实际上只有主权而没有信用。因此,当代国际储备体系必须改革,中国的国际储备也应该调整。     

供应链是价值链的一种表现形式

先介绍了企业关系的演变和发展 ,概述了供应链/价值链产生和发展的背景、供应链/价值链研究的发展。然后从哲学的角度深入分析供应链/价值链之间的关系和区别 ,首次得出“供应链是价值链的一种表现形式 ,两者是内容和形式的哲学关系”的结论。弄清两者的关系 ,对供应链/价值链的研究和应用有很大的现实指导意义。价值链管理应注重宏观、战略、定性等方面的研究和应用 ,而供应链管理则应更加注重微观操作、运行管理、定量等方面的研究和应用。     

挣值管理(EVM)的动态分析和预测研究

项目管理挣值在项目管理实践中得到广泛应用。传统的挣值管理在应用中多表现出单期、静态的特性,存在严重的局限性。将统计过程控制引入到挣值管理,以和EWMA控制图分析项目产生变差的原因,同时也为挣值的动态预测提供了基础,最后提出了挣值管理的动态分析方法。     

价值工程在工程项目规划设计中的应用——基于战略布局图的视角

在新的经济环境和市场需求条件下,工程项目的规划设计已经不能单纯考虑工程的工期、成本和质量,必须考虑工程的战略、功能和价值。价值工程通过技术与经济的结合实现研究对象的改进与创新,实现研究对象的最低寿命周期成本与可靠实现必要功能结合的价值优化思想,在这种条件下需要与现代的管理思想融合,才能更好地实现价值拓展与优化的目标,从而最终实现上述工程项目规划设计的最终的目标。文中探讨了基于战略布局图法的价值工程在工程项目规划设计中的应用逻辑和实例。     

VE在高速公路边坡绿化中的优化应用研究

基于价值工程的分析方法,对高速公路边坡的绿化功能进行了系统分析,并结合成本对功能成本进行了比较,在此基础上,对不同的绿化方案进行了设计比较,并选择实施。梅河高速公路的绿化实施效果表明,这种优化效果很好。     

The value relevance and reliability of reported goodwill and identifiable intangible assets

We examine the value relevance and reliability of reported goodwill and identifiable intangible assets under Australian GAAP from 1994 to 2003; a period characterised by relatively restrictive accounting treatment for goodwill and relatively flexible accounting treatment for identifiable intangible assets. Our findings, using an adaptation of Feltham and Ohlson (1995), suggest that for the average Australian company the information presented with respect to both goodwill and identifiable intangible assets is value relevant but not reliable. In particular, goodwill tends to be reported conservatively while identifiable intangible assets are reported aggressively.     

Intraday Value at Risk (IVaR) using tick-by-tick data with application to the Toronto Stock Exchange

This paper investigates the use of tick-by-tick data for intraday market risk measurement. We propose a method to compute an Intraday Value at Risk based on irregularly spaced high-frequency data and an intraday Monte Carlo simulation. A log-ACD–ARMA–EGARCH model is used to specify the joint density of the marked point process of durations and high-frequency returns. We apply our methodology to transaction data for three stocks actively traded on the Toronto Stock Exchange. Compared to traditional techniques applied to intraday data, our methodology has two main advantages. First, our risk measure has a higher informational content as it takes into account all observations. On the total risk measure, our method allows for distinguishing the effect of random trade durations from the effect of random returns, and for analyzing the interaction between these factors. Thus, we find that the information contained in the time between transactions is relevant to risk analysis, which is consistent with predictions from asymmetric-information models in the market microstructure literature. Second, once the model has been estimated, the IVaR can be computed by any trader for any time horizon based on the same information and with no need of sampling the data and estimating the model again when the horizon changes. Backtesting results show that our approach constitutes reliable means of measuring intraday risk for traders who are very active in the market.