基于产业背景的金融控股集团协同机制研究

产业金控集团是当前我国产业资本借力资本市场发展实体经济的重要方式，但在 实际运行中存在协同机制不健全、协同效应发挥不足、产融结合的深度和广度不足等问题。本 文对国内外产业金融理论进行了文献综述，深入分析了产业金控集团产生的动因，指出了目前 产业金控集团在发挥协同效应中存在的不足。结合产业金控集团的优势和特点，从构建横向协 同机制和纵向协同机制的角度，探讨了完善产业金控集团协同机制的举措。     

全球价值链中代工企业转型盲区、知识搜寻与升级机制研究

从知识搜寻机制角度探讨了代工企业转型困境与能力刚性的认知根源。知识搜寻是代工企业重构自身知识结构的重要机制，然而代工企业在构建知识生成机制时面临来自全球价值链核心企业的抑制与知识搜寻内生冲突的双重锁定，形成了不对称的知识搜寻与能力生成结构，导致代工企业“转型盲区”与生存困境。为此，从知识搜寻方法、组织结构、激励机制与支持机制等维度，构建了企业平衡其内生矛盾和外部制约的知识搜寻与积累机制，以消除代工企业的“转型盲区”，推动代工企业的知识积累、重构与持续转型升级。     

基于技术轨道的制造企业服务化机理研究

基于技术轨道理论与制造企业服务化间的关系，认为技术轨道对制造企业服务化的影响机理包括3类：驱动机理、拉动机理和差异化机理。制造企业服务化转型内在机理是技术轨道驱动下投入服务化、企业边界变化以及用户需求、产出、政策拉动下与技术轨道的协同演化过程，且通过技术轨道形成服务化转型差异。制造企业对自身技术轨道的识别有利于确定发展所需主要技术来源及技术演化轨迹，把握实现服务化的关键机理。     

颠覆性创新四阶段扩散过程模型

基于颠覆性创新、创新扩散、创新模糊前端等相关理论，从全流程角度创新性地构建了颠覆性创新四阶段扩散过程模型，包括颠覆性创意产生、颠覆性创新产品开发、侵蚀非主流市场、占据主流市场4个阶段，各阶段之间相互关联、循环往复，并受到技术、市场、政策、竞争等外部环境因素影响。选取液晶电视机和山寨手机作为高端和低端两个颠覆性创新典型案例，通过对其进行验证性分析，构建具体的高端与低端颠覆性创新四阶段扩散过程模型。     

企业主流与新流创新演进机理研究

激烈的市场竞争使人们意识到，企业既需要维持创新发展优势而抢占主流市场，又需要创造新的企业发展优势而赢取未来主流市场。着眼于这一关键任务，实现主流与新流创新演进成为企业持续发展的重点。因此，基于生物进化理论、企业进化理论和企业DNA理论，提出主流与新流创新演进经过了生成、变异、选择、协同阶段。深入研究主流与新流创新的生成、变异、选择、协同机理，并与企业创新发展实践相结合，为企业未来主流创新提供具体路径指导。     

Fancy Bitcoin and conventional financial assets: Measuring market integration based on connectedness networks

We investigate the relationship between Bitcoin and conventional financial assets from a perspective on the connectedness of asset networks. We adopt the method of measuring connectedness proposed by Diebold and Yilmaz (2009, 2012, and 2014) in a VAR system to study the dynamic interdependence between returns in Bitcoin, stocks, oil, and gold. We find that the connectedness between bitcoin and conventional assets is weak. The separation of positive and negative returns in the Bitcoin market shows the existence of an asymmetric pattern of the spillover effects between Bitcoin and conventional assets. A rolling window analysis finds that although Bitcoin prices experience a rising link to other financial assets, the magnitude is proven to be moderate. However, connectedness via negative returns is much stronger than via positive ones and exhibits a clearly increasing trend in recent periods. Our results in application are generally robust to other popular cryptocurrencies, such as ETH and Ripple. The findings presented in this paper have important implications for financial market participants, policymakers, and researchers in light of projected increases in the adoption of Bitcoin, as well as the rapid development of cryptocurrency.     

The price of going green: the role of greenness in green bond markets

In this paper, we empirically investigate how greenness information is priced in the green bond market. Our comparison of liquidity-adjusted yield premiums of green bonds versus synthetic conventional bonds indicates that, on average, there is no robust and significant yield premium or discount on green bonds. However, green bonds certified by an external reviewer enjoy a discount of about 6 bps. Furthermore, green bonds that obtain a Climate Bonds Initiative certificate show a discount of around 15 bps. The findings suggest that a universally accepted greenness measure can benefit the development of the green bond market.     

How efficient is the market for Australian firms’ earnings information?

We construct a measure of the speed with which forecasts issued by sell-side analysts accurately forecast future annual earnings. Following Marshall, we label this measure earnings information flow timeliness (EIFT). This measure avoids the aggregation problem inherent in price-based measures of information efficiency. We document large variation in EIFT across firm-years, and show that EIFT is positively associated with the extent of analyst following, consistent with increased analyst coverage improving the speed with which earnings-related information is recognised. We also find that EIFT is higher for firm-years classified as ‘bad news’ (i.e., where analysts’ forecasts at the start of the financial period exceed the reported outcome). However, when we separately consider instances where analysts appear to forecast non-GAAP (or ‘street’) earnings rather than GAAP earnings, we find that the greater timeliness of bad news is concentrated among observations where analysts forecast non-GAAP earnings, where unusual items are typically excluded. We conclude that the market for accounting information is more efficient for negative operating outcomes than for negative outcomes reflecting unusual items.     

数量驱动或创新驱动：异质型人力资本对经济增长的机制演进

基于1987-2017年中国省际面板数据，运用SYS-GMM模型研究异质型人力资本对经济增长的影响。在区分高级与基本人力资本基础上，基于招生率和收入维度，从全局和阶段差异视角剖析异质型人力资本对经济提速的机制演进。研究发现：全局而言，两种测度下基础和高级人力资本各自以数量及创新方式驱动经济增长，并呈现以数量驱动为主，数量、创新双驱动的增长模式；从演进视角看，两种测度均表明，高级人力资本创新驱动是新常态阶段经济增长的核心动力，但相比旧常态阶段，基础人力资本数量驱动日趋弱化并呈异质性；进一步研究表明，产业结构、城镇化及开放程度均对创新驱动有不同程度激励效应，而城镇化是挤出数量驱动的主要推手。     

新时代中国区域高质量发展的动力转变方向及形成路径研究

高质量发展已经成为中国经济发展的根本导向。作为经济体系的重要组成部分之一,区域经济的高质量发展要求增强发展动力的均衡性、精准性、融合性、复制性和专业性。其中,由外需动力为主转向内外需动力并重、由所有区域的齐头并进到不同区域的各展所长、由地方竞争的发展速度到区域协调的规模经济、由个体区域的率先发展到个体区域的综合示范、由综合性区域战略到专业性区域政策是动力转型的主要方向,培育具有世界级竞争力的产业集群、细化主体功能区规划、构建共享型的区域利益关系、构建可复制的区域发展路径、完善区域管理制度是实现上述转型的支撑路径。