组织遗忘、组织即兴与环境动态性视角下企业原始性创新构建路径

原始性创新是企业获得核心竞争力的关键，但当前对企业如何获得原始性创新的研究严重不足。为此，以我国环渤海经济带179家高技术企业为样本，从组织遗忘和即兴角度研究原始性创新形成问题，并进一步分析环境动态性在组织遗忘和原始性创新间的作用。结果发现：组织遗忘和组织即兴对原始性创新具有积极效应；组织即兴在组织遗忘和原始性创新间发挥着部分中介作用；环境动态性对组织遗忘和原始性创新的关系具有正向调节效应。     

经济带:新发展阶段的新愿景

经济带已成为承东启西、连南贯北的"经济主骨架",在国民经济整体格局中的战略地位日益凸显,对我国经济发展具有重大战略意义.经济带的形成有其深刻的理论基础和现实条件,我国"两横"——长江经济带和陇海兰新经济带,以及"三纵"——沿海经济带、京广京哈经济带、包昆经济带五条经济带,需要进一步集聚经济要素,破除要素流动壁垒,提升节点城市能级,推动区域经济合作,以经济带建设推动我国经济高质量发展.     

北方县级海绵城市建设模式研究 ——以迁安海绵城市建设为例

我国北方缺水县级海绵城市建设的深入推进是实施海绵城市建设工作的重要内容,但目前我国北方缺水县级市的海绵城市建设工作还处于探索创新阶段.迁安依托海绵城市建设契机,在坚持政府主导、专家团队支持、社会资本运作、群众参与、发展区域产业优势等方面,首创了"一三一"模式,并取得了探索性经验,为其他北方缺水县级城市的海绵建设提供了有益启示和经验借鉴.     

棉花期货套期保值策略及其效率比较研究

选取中国全部六个交割月份棉花期货合约价格和中国棉花3128B价格指数作为研究对象,构建OLS,B-VAR,ECM和ECM-BGARCH四种模型来估算最优套期保值比率,并应用Ederington法评估套期保值的效率,分析中国棉花期货最佳的套保模型.结果表明,1月、5月、11月份合约的套期保值都能在一定程度上规避价格风险,其中OLS和B-VAR模型的效果最好,最后提出完善期货市场的建议.     

电子信息工程技术应用问题与改善策略研究

电子信息工程技术具有鲜明的现代化特点,其凭借自身极强的实用性已经被广泛应用于诸多领域之中,且正在发挥着至关重要的作用.但是在具体实施过程中,因为受到其他多方因素影响,使得电子信息工程技术还存在些许应用问题亟待解决,也正是因为这些限制的存在,使得电子信息工程技术的优势不能完全发挥出来.因此文章以下就电子信息工程技术的相关概念入手,结合其已经延展至的工作领域和在实际应用中遇到的问题,给予有效地解决之策,以期将其优势最大化释放,为社会发展略尽绵薄之力.     

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.     

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。     

Board directors with foreign experience and stock price crash risk: Evidence from China

This study examines the impact of board directors with foreign experience (BDFEs) on stock price crash risk. We find that BDFEs help reduce crash risk. This association is robust to a series of robustness checks, including a firm fixed effects model, controlling for possibly omitted variables, and instrumental variable estimations. Moreover, we find that the negative association between BDFEs and crash risk is more pronounced for firms with more agency problems, weaker corporate governance, and less overall transparency. Our findings suggest that the characteristics of board directors matter in determining stock price crash risk.     

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.     

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.