创业生态系统视角下的"三农"科技孵化育成体系特征与准则研究——以广清农业众创空间为例

本文基于创业生态系统的视角,分析了三农领域科技孵化育成体系的定义、特征与准则,以广清农业众创空间为例说明了"三农"科技孵化育成体系的功能实现机制,总结了其发展经验和存在不足,不仅是对现有创新创业理论的有机补充,也为乡村振兴战略下培育农村新动能提供了具有一定参考价值的实例论证.     

建章宫“一池三山”之仙山形态试探

建章宫“一池三山”的布局源于汉武帝的神仙信仰。受此影响，其中的仙山形象应是上广中狭的台状构筑物。此种台状仙山与汉代慕拟自然的假山形象并行发展，成为后世皇家园林“一池三山”的主要表达方式。通过对汉代图像资料中的仙山形象进行梳理，并结合相关的文献记载，对“一池三山”的仙山形态进行探究。进而分析了这一仙山形态在古典园林仙境景观中的发展演变，及其与汉代园林中用于迎仙的台的区别与联系，为进一步理解早期园林中的景观内容提供新的线索。     

中国高端装备制造业自主技术创新效率稳定性及影响因素研究

在全面实施创新驱动发展战略的时代背景下，揭示中国高端装备制造业自主技术创新效率稳定性，测度相关因素的影响强度与方向，对揭示中国高端装备制造业自主技术创新规律，制定其发展策略具有重要指导意义。聚焦中国高端装备制造业自主技术创新效率稳定性及影响因素，采用DEA-Malmquist指数方法和Tobit回归模型进行实证研究，结果表明，中国高端装备制造业自主技术创新效率存在一定波动性，且各细分行业技术创新效率内部稳定性较差，产业自主技术创新效率整体稳定性不高；自主技术创新投入因素和环境影响因素对产业自主技术创新效率的影响具有较高的异质性，其中创新资金投入和人力资源投入对自主技术创新综合效率、纯技术效率及规模效率具有正向影响，而新产品开发投入和企业规模对自主技术创新综合效率、纯技术效率和规模效率的影响具有异质性，政策因素与市场因素分别具有显著和非显著负向影响，外源性创新因素具有显著正向影响，且影响强度较大。在此基础上，提出调整政府对高端装备制造业创新支持模式、加强外源性创新与智力引进等策略建议。     

INTERNATIONAL RESERVE MANAGEMENT: A DRIFT‐SWITCHING REFLECTED JUMP‐DIFFUSION MODEL

We study the cost of shocks, that is, jump risk, with respect to reserve management when the reserve process is formulated as a drift‐switching jump diffusion with a reflecting barrier at 0. Inspired by the Brownian drift switching model, our model results in a more realistic dynamic behavior of international reserves than the buffer stock model. The new model can capture both the jump behavior in reserve dynamics and the leptokurtic feature of the increment distribution which has a higher peak and two asymmetric heavier tails than the normal distribution. Through the selection of an initial distribution that reflects certain steady state behaviors, the reserve process becomes a regenerative process. This selection enables us to derive a closed‐form expression for the total expected discounted cost of managing reserves, thus helping us to numerically find management strategies that minimize costs. The numerical results show that shocks at the reserve level have a significant effect on reserve management strategies and that model misspecification can result in nonnegligible additional costs.     

Monitoring the foreign exchange rate benchmark fix

ABSTRACT

We develop a Manipulation Index (ManIx) that captures the potential manipulation intention of dealers during the World Markets/Reuters (WMR) benchmark (London Close) period at 4 pm London time through a unique algorithm and simulation. The application of this model (using a dataset with dealers’ identities) can identify banks that are prone to potential manipulative behavior. The results concerning the identified banks are validated by the regulatory investigations. Implementation of this algorithm allows regulators better direct their limited resources towards more targeted in-depth investigation.     

Institutional herding and its price impact: Evidence from the corporate bond market

We examine the extent to which institutional investors herd in the U.S. corporate bond market and the price impact of their herding behavior. We find that the level of institutional herding in corporate bonds is substantially higher than what is documented for equities, and that sell herding is much stronger and more persistent than buy herding. The price impact of herding is also highly asymmetric. While buy herding facilitates price discovery, sell herding causes transitory yet large price distortions. Such price destabilizing effect of sell herding is particularly pronounced for speculative-grade, small, and illiquid bonds, and during the financial crisis.     

Dynamic relationship between stock market trading volumes and investor fear gauges movements

This article applies multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrended cross-correlation analysis (MF-DCCA) to investigate cross-correlation behaviours between two kinds of stock markets trading volumes and investor fear gauges covering the data of U.S. stock markets from 2 January 2004 to 31 July 2018. The empirical results show that the dynamic relationship between stock markets trading volume fluctuations and different kinds of investor fear gauges are multifractal and find that the dynamic relationship is strongly anti-persistent. Moreover, financial crisis in 2008 has a significant impact on the cross-correlated behaviour, suggesting that stock market trading volume fluctuations and investor fear gauges are more susceptible to each other during the financial crisis period. Through the rolling windows analysis, we also find that the stock markets trading volume fluctuations and different kinds of investor fear gauges are anti-persistent dynamic cross-correlated.     

The effect of shared auditors in the supply chain on cost stickiness

Do supply chain audits have real effects?We focus on the effect of shared auditors in the supply chain on corporate cost stickiness.When a supplier shares audit...     

Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

秸秆收储运成本分析——以河南省为例

[目的]选择合适的秸秆收储运模式,降低秸秆离田产业化利用的收储运成本,促进秸秆综合利用。[方法]文章以河南省为例,构建秸秆收储运成本模型,并在4种收储运模式(模式一:田间晾晒→收集→秸秆利用企业;模式二:田间收集→收储点→晾晒、储存→秸秆利用企业;模式三:田间机械捡拾打捆→收储点→储存→秸秆利用企业;模式四:田间收集→固定式打捆→收储点→秸秆利用企业)基础上分析不同模式下的秸秆收集成本。[结果]运输成本和机械卸载成本是总成本中的可变因素,其对总成本的贡献率随运输半径的增大而增大。模式一、二采用散秆运输方式,适用于收集距离较短、秸秆需求量较小的企业,且使用模式二的秸秆收储运成本较低。模式三、四采用秸秆打捆运输方式,易于储存、利用,适用于秸秆用量较大的企业,且使用田间机械捡拾打捆的模式三收储运秸秆经济性更优。[结论]秸秆利用企业应根据需求合理地选择秸秆收储运模式,小型秸秆利用企业在模式二的情况下收储运成本更低,大型秸秆利用企业选择模式三经济性更优。