网络融合趋势下中国电信业市场需求与集中

中国在市场化改革进程中,伴随着经济发展、社会进步和国民收入增加,电信需求表现出较快增长趋势,电信市场集中度与市场规模之间有着较为显著的相关关系.由于需求和技术条件决定产业组织内的市场结构和企业行为,因而基于市场集中度的电信业规制应考虑电信市场需求的可能变化.同时,由于网络融合可促进电信技术的发展和电信全业务运营的发展和融合,因此,在网络融合的大趋势下,可放松分业务规制,并利用网络融合对电信产业的影响,完善竞争和规制政策,并通过多业务宽松寡头市场结构的构建和非对称规制,在维持基础电信运营商规模经济和电信业适度集中的同时,实施非对称规制,促进电信市场的可竞争性.     

要素禀赋结构与标准供给——基于中国制造业行业面板数据的实证研究

描述了标准供给的定义与测度,分析了要素禀赋结构对标准供给的作用机理,并对1993-2016年中国十六个制造业行业的面板数据进行了实证研究。研究结果表明：要素禀赋结构对标准供给有显着的正向影响,其中资本劳动比、研发资金投入、研发人力投入对标准供给的提升存在显著的正向影响,而且研发资金投入的影响最大,研发人力投入次之,资本劳动比的影响最小。这一结论对调整我国行业标准供给,提升我国标准市场竞争力具有重要意义。     

珠三角制造业竞争力提升探讨——以绿色技术创新为视角

基于绿色技术创新的视角,分析珠三角制造业具有的优势和存在的问题,并结合新时期其所面临的绿色挑战来探讨珠三角制造业竞争力的提升,最后对如何提升珠三角制造业的竞争力提出政策和建议。     

绩效与不足:成都会展业现状分析

近年,成都会展业发展迅速,多种会展经济形态得到全面发展,展览场馆数量较足,政府主导大型展会以及多层次的会展人才培养体系对会展业快速发展提供了必要的保障。然而,成都会展业仍然存在着品牌化和国际程度不高、场馆规模小和利用率较低、政府管理理念仍需创新、"产学研"结合不紧密等问题。本文通过分析当下成都会展业的绩效与不足,希望能为优化成都会展经济的产业结构、促进会展产业的转型和品牌升级提供有益的参考。     

80后大学生理想、信念建构研究

80后大学生的种种社会表现已广泛引起社会的注意,他们的理想信念如何,关乎我国的社会发展和民族前途。因此了解他们的理想信念实际并探讨理想信念构建的对策是关乎国运的一件大事。     

银行业国际化的理论基础和历程分析

以国际贸易理论、资本流动理论、对外直接投资理论、产业组织理论为基础,从比较优势论、内部化理论、金融结构论、金融抑制和金融深化论、金融服务贸易和金融创新等角度对银行业国际化的动因作了多方面的分析。重点分析了现代银行业国际化的形成原因和特点,认为欧洲美元市场的兴起、金融创新、金融自由化等因素推动了银行业国际化的发展。     

对外开放条件下产业安全研究的生态学思路

随着中国加入WTO,对外开放程度不断加大,产业安全问题越来越引起人们的重视。以往的研究多采用经济学和数学方法,从生态学角度对产业安全进行研究在国内外尚未见报道。论题借鉴生态系统健康理论提出了产业生态系统的概念、产业安全的健康指数和敏感性指标;借鉴生态入侵理论提出了产业入侵假说,如多样性阻抗假说、天敌逃避假说、空生态位假说、资源机遇假说、干扰假说、生态位机遇假说。生态学方法为产业安全研究提供了一种新的思路。     

日本对华直接投资的产业转移特征及趋势分析

通过分析20世纪日本对华直接投资的产业分布特征及新世纪的产业转移趋势,研究从政策上对日本对华直接投资加以正确的引导,以优化我国产业结构,提高我国的国际竞争力。     

An empirical assessment of the operational performance through internal benchmarking: a case of a global logistics firm

This article solves an operational performance measurement problem of a global logistics firm through an internal benchmarking tool. The intended impact is to enable logistics firms to form a deeper understanding of their own internal processes and metrics. The methodology of this in-depth action research involves a sequential approach with a series of interviews, questionnaire-based surveys, operations data collated through observations and process mapping yielding real-world data. A series of statistical tests are conducted to analyse the collated data. Strategic priorities of the firm are integrated with the firm’s operational performance to ascertain the effective performance by considering both the tangible and intangible measures. The outcomes inform both practitioners and academics how the firm could improve its freight forwarding business’s profitability by ensuring that its operations meet the prioritised criteria. The ‘best practice’ derived from internal benchmarking forms an intermediate step towards external benchmarking. The outcomes facilitate investigating the current business strategy, the standard operating procedures and the scope of improving those.     

Delay causes analysis in complex construction projects: a Semantic Network Analysis approach

Delays are among the most crucial adversaries to the success and performance of construction projects, making delay analysis and management a critical task for project managers. This task will be highly complicated in large-scale projects such as construction, which usually consist of a complex network of heterogeneous entities in continuous interaction. Traditional approaches and methods for the analysis of delays and their causes have been criticised for their ability to handle complex projects, and for considering the interrelationships between delay causes. Addressing this gap, this research introduces an alternative approach for delay causes analysis by adopting Semantic Network Analysis (SNA) method. The paper reports the results from an investigation of delays in construction projects in the Oil-Gas-Petrochemical sector using SNA. The method’s capacity to identify and rank delay causes, which can assist managers in selecting appropriate measures for eliminating them, are empirically examined and discussed. The paper argues that SNA leads to a more comprehensive understanding of the main causes of delay in large and complex projects, allowing a better identification and mapping of the interrelationships between these discrete factors.