动态能力核心构成及其功效模型探究

动态能力是一种新的战略分析框架。研究人员和经理人的一个根本问题是理解动态能力,即重新配置资源以应对动荡环境的经营能力。动态能力一直被视为抽象。动态能力的三大核心构成要素分别是学习与吸收能力、协调整合能力与创新能力。     

装备制造企业绩效循环管理研究

介绍了企业绩效循环管理的概念与内涵,分析了我国中小型装备制造企业绩效管理的现状及存在的问题,并提出建立企业绩效管理体系的对策建议。     

基于隐性知识管理的高职《印花技术及实训》课程教学改革

通过对《印花技术及实训》课程传统授课情况的分析,结合高职学生具有形象思维的特点,将隐性知识管理融入项目化课程教学改革中,从课程能力目标、课程效果评价、促进教师专业成长以及高职学生的可持续发展等方面阐述了基于隐性知识管理的项目化课程教学改革的可行性,最后提出了本门课程继续努力的方向。     

空间视角下R&D投入对区域创新能力的影响研究——基于科技政策组合的调节作用

基于知识生产函数模型和创新地理学理论,本文利用我国30个省(区、市)2008~2020年的面板数据,通过空间计量模型实证分析R&D投入对区域创新能力的影响及空间溢出效应,并从政策目标与政策工具的耦合协调性视角理解科技政策组合,分析科技政策组合的调节效应。研究发现,我国省域创新能力呈现由东向西逐渐减弱的“梯形”分布特征;R&D资金和R&D人员对于本地区域创新能力提升具有显著的正向影响,但空间溢出效应均不显著;科技政策组合正向调节R&D投入对区域创新能力的促进作用。对此,国家应制定适宜的区域创新战略,地方政府应探索差异化创新驱动发展路径并提升科技政策组合的耦合协调性。     

The housing price boom of the late 1990s: Did inflation targeting matter?

The recent boom in the housing markets of most developed economies has spurred criticism that inflation targeting central banks may have neglected the build-up of financial imbalances. This paper provides a formal empirical test of such claims, using a standard program evaluation methodology to control for a possible bias due to self-selection into inflation targeting. We consider 17 industrial economies over the period 1980–2007, among which nine countries have targeted inflation at some point. We find robust evidence of a significant positive effect of inflation targeting on real house price growth and on the house price-to-rent ratio.     

国家风险对我国出口贸易效应的实证分析

2008年金融危机导致全球贸易环境恶化,国家风险加大,我国出口贸易规模下降。本文运用回归模型,分析了金融危机前后中国的国别出口规模与其对应进口国的国家风险之间的相关性以及出口市场结构对相关性的影响。论文提出在国家风险评级相对下调的发达市场,中国要缓解出口的下滑,以及在收入水平较低的新兴市场,中国要扩大对其出口规模,及时识别、防范并化解国家风险具有重要意义。论文从出口信用保险的角度为我国化解国家风险、发展对外贸易提出了相关政策性建议。     

Traffic density,congestion externalities,and urbanization in China

ABSTRACT

Although there is an abundant regional literature analyzing traffic congestion, only a few studies have explored extending such analysis with spatial effects. This study uses a dynamic spatial Durbin model and city-level panel data for the period 2003–14 to investigate the spatial spillover effects of traffic congestion on urbanization in China. The results show that there is an inverted ‘U’-shaped relationship between urbanization and traffic density in local and neighbouring cities, and congestion effects have appeared. In the short and long run, the spatial effects of traffic congestion have become an important force restricting the effective promotion of urbanization in China.     

Which covariates should be controlled in propensity score matching? Evidence from a simulation study

Propensity score matching is a widely‐used method to measure the effect of a treatment in social as well as medicine sciences. An important issue in propensity score matching is how to select conditioning variables in estimation of the propensity scores. It is commonly mentioned that variables which affect both program participation and outcomes are selected. Using Monte Carlo simulation, this paper shows that efficiency in estimation of the Average Treatment Effect on the Treated can be gained if all the available observed variables in the outcome equation are included in the estimation of propensity scores. This result still holds in the presence of non‐sampling errors in the observed control variables.     

Dynamic time series momentum of cryptocurrencies

This paper examines the momentum effect for twenty cryptocurrencies compared to the US stock market. For this purpose, we implement a dynamic modeling approach to define and test momentum periods that follow a formation period for interday and various intraday price levels. We find evidence that large proportions of the asset classes’ formation periods are followed by momentum periods, strongly supporting the momentum effect. In particular cryptocurrencies have significantly larger and longer momentum periods in all frequencies which we attribute to the lower derivability of their intrinsic value leading to a higher degree of noise traders in the market. A momentum trading strategy based on the identical approach outperforms a buy-hold strategy for both asset classes, while only cryptocurrencies have higher risk-adjusted returns and lower downside risks than a passive investment. We also find critical price levels during structural elements of the momentum period where the volatility shortly but intensively increases and consequently initiates a price impulse in the direction of the momentum.     

Horse race of weekly idiosyncratic momentum strategies with respect to various risk metrics: Evidence from the Chinese stock market

This paper focuses on the horse race of weekly idiosyncratic momentum (IMOM) with respect to various idiosyncratic risk metrics. Using the A-share individual stocks in the Chinese market from January 1997 to December 2017, we first evaluate the performance of the weekly momentum based on raw returns and idiosyncratic returns, respectively. After that the univariate portfolio analysis is conducted to investigate the return predictability with respect to various idiosyncratic risk metrics. Further, we perform a comparative study on the performance of the IMOM portfolios with respect to various risk metrics. At last, we explore the possible explanations to IMOM as well as risk-based IMOM portfolios. We find that 1) there are prevailing contrarian effect and IMOM effect for the whole sample; 2) the negative relations exist between most of the idiosyncratic risk metrics and the cross-sectional stock returns, and better performance is linked to idiosyncratic volatility (IVol) and maximum drawdowns (IMDs); 3) additionally, the IVol-based and IMD-based IMOM portfolios exhibit better explanatory power to the IMOM portfolios with respect to other risk metrics; 4) finally, higher profitability of IMOM as well as IVol-based and IMD-based IMOM portfolios is found to be related to upside market states, high levels of liquidity and high levels of investor sentiment.