Foreign direct investment and economic growth: Is more financial development better?

We investigate the extent to which an increase in financial development affects the positive effect of foreign direct investment on economic growth. Although the financial sector is beneficial for economic growth, the effect of further financial development on growth is found to become insignificant. Using a dynamic panel threshold model on 62 middle- and high-income countries spanning the period 1987–2016, we re-examine the possible nonlinearity between finance, foreign direct investment, and growth. Consistent with the “vanishing effect” of financial development, we find significant evidence that foreign direct investment fosters growth in general, but the growth effect of foreign direct investment becomes negligible when the ratio of private sector credit to gross domestic product exceeds 95.6%. This finding is robust to different econometric methods, various subsamples and interaction analyses, and distinct financial development indicators.     

The role of gender and its potential channels to affect self-employment in Taiwan

This research investigates the gender differences in the self-employment sector by employing a dynamic panel model with county- and city-level data from 1998 to 2016 in Taiwan. Our study is distinct from most others in this issue in that we explore not only the inter-gender difference, but also the intra-gender differences in self-employment. Following this framework, we first find that women are on average less likely to self-employ than men, and further find that older men, married men, men living in lower income regions and women living in higher income regions are more likely to become self-employed compared to their respective reference groups. We thus argue that gender influences self-employment not only directly but also through interactions with other demographic variables. Separate evaluation of different groups based on demographics should therefore result in better targeting of policies.     

跨界搜寻的创新驱动力：一个有调节的中介模型

以来自4个省份的357家企业为研究对象,以动态能力理论为基础,探讨跨界搜寻对技术创新的影响,以及动态能力和技术动荡在其中的中介与调节作用。结果发现：跨界搜寻的两种类型搜寻（技术知识和市场知识）对组织技术创新具有显著正向影响。同时,动态能力中介两类跨界搜寻和技术创新之间的正向关系,在技术知识跨界搜寻与技术创新之间发挥完全中介作用,在市场知识跨界搜寻与技术创新之间发挥部分中介作用。此外,组织外部较高的技术动荡水平不仅会加强动态能力对技术创新的正向影响,还会强化动态能力在两种类型搜寻与技术创新之间的中介效应。     

Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach

We use regular vine (r-vine), canonical vine (c-vine) and drawable vine (d-vine) copulas to examine the dependence risk characteristics of three 20-stock portfolios from the retail, manufacturing and gold-mining equity sectors of the Australian market in periods before, during and after the 2008–2009 global financial crisis (GFC). Our results indicate that the retail portfolio is less risky than the manufacturing counterpart in the crisis period, while the gold-mining portfolio is less risky than both the retail and manufacturing sector portfolios. Both the retail and gold stocks display a higher propensity to yield positively skewed returns in the crisis periods, contrary to the manufacturing stocks. The r-vine is found to best capture the multivariate dependence structure of the stocks in the retail and gold-mining portfolios, while the d-vine does it for the manufacturing stock portfolio. These findings could be used to develop dependence risk- and investment risk-adjusted strategies for investment, rebalancing and hedging which more adequately account for the downside risk in various market conditions.     

Markov regime-switching Beta-t-EGARCH

We suggest a Markov regime-switching (MS) Beta-t-EGARCH (exponential generalized autoregressive conditional heteroscedasticity) model for U.S. stock returns. We compare the in-sample statistical performance of the MS Beta-t-EGARCH model with that of the single-regime Beta-t-EGARCH model. For both models we consider leverage effects for conditional volatility. We use data from the Standard Poor’s 500 (S&P 500) index and also a random sample that includes 50 components of the S&P 500. We study the outlier-discounting property of the single-regime Beta-t-EGARCH and MS Beta-t-EGARCH models. For the S&P 500, we show that for the MS Beta-t-EGARCH model extreme observations are discounted more for the low-volatility regime than for the high-volatility regime. The conditions of consistency and asymptotic normality of the maximum likelihood estimator are satisfied for both the single-regime and MS Beta-t-EGARCH models. All likelihood-based in-sample statistical performance metrics suggest that the MS Beta-t-EGARCH model is superior to the single-regime Beta-t-EGARCH model. We present an application to the out-of-sample density forecast performance of both models. The results show that the density forecast performance of the MS Beta-t-EGARCH model is superior to that of the single-regime Beta-t-EGARCH model.     

重大突发公共卫生事件科技研发应急体系运行机制研究

在突发事件应急管理过程中,科技研发支撑作用十分关键,亟需建立突发公共卫生事件科研应急体系长效运行机制。基于科技研发应急体系的复杂性、适应性特征,从主体属性和体系架构两个层面入手,分析重大突发公共卫生事件科技研发应急体系的复杂适应系统特征,运用复杂适应系统理论模型和动态闭环螺旋模型,研究重大突发公共卫生事件科技研发应急体系运行机制。研究发现,重大突发公共卫生事件背景下,科技研发应急体系具有复杂适应系统的7个基本特征,是典型的复杂适应系统;科技研发应急体系中,科研攻关专家组、诊疗医院、科技部门等科研主体具有各自内部模型,并通过6大标识进行聚集;科技研发应急体系存在事件—需求引导、主体协同、资源交互、成果转化机制。同时,新冠病毒肺炎疫情应对实践表明,疫情防控救治进程中科技研发应急体系存在并遵循上述运行机制。     

国家创新型城市对属地创新能力影响效应评估——政策动态过程与政企互动视角

选取2003-2016年城市数据样本,基于国家创新型城市分批次确立的特性,采用渐进双重差分模型、固定效应双重差分模型和处理效用双重差分模型,研究国家创新型城市对属地创新能力的整体效应、长期动态效应和批次效应。结合城市创新微观主体构成特性,分析属地国家创新型企业政策及企业类型异质性对属地创新能力的影响。结果显示:国家创新城市对属地创新能力提升在长短期均起到正向促进作用,且越早确立的城市对属地创新能力提升的作用效果越显著;国家创新型企业政策对城市创新能力提升起到正向调节作用,且企业集团作用大于上市公司和一般企业。最后,提出创新型城市建设相关政策建议。     

员工创造力激发研究评述：多层次多视角机制与精神性动力

员工创造力是组织创新的先决条件和根本源泉,员工创造力激发成为经典的研究主题,并取得了相当丰富的研究成果,然而,国内却鲜见针对员工创造力激发机制进行全方位、多层面和多视角的梳理与总结。对员工创造力的激发机制研究进行系统回顾和深入分析,首先,从员工创造力激发的理论基础出发,总结员工创造力激发的经典理论;其次,按照个体、团队和组织的逻辑顺序对以往散见在各个组织层次的员工创造力激发机制进行多视角梳理和探讨。随着研究的深入,组织内精神性逐渐成为员工创造力激发的新兴动力,为此,从多个视角归纳基于精神性的员工创造力激发机制;最后,展望未来研究方向,以期推动员工创造力激发机制研究走向深入和完善。     

互联网金融发展提升了区域创新效率吗——基于空间杜宾模型的实证分析

基于2011—2018年全国30个省份（西藏地区和港澳台地区因数据缺少剔除）的面板数据,利用随机前沿模型测度中国区域创新效率。在此基础上构建动态空间面板模型对互联网金融发展与我国区域创新效率提升的关系进行实证分析,结果表明互联网金融发展与区域创新效率均存在显著的空间集聚特征。进一步通过中介效应检验发现,互联网金融发展主要通过加速金融发展与人力资本积累等对区域创新效率产生正向影响,该影响也表现出显著的空间溢出效应。     

Forecasting China's GDP growth using dynamic factors and mixed-frequency data

Forecasting GDP growth is important and necessary for Chinese government to set GDP growth target. To fully and efficiently utilize macroeconomic and financial information, this paper attempts to forecast China's GDP growth using dynamic predictors and mixed-frequency data. The dynamic factor model is first applied to select dynamic predictors among large amount of monthly macroeconomic and daily financial data and then the mixed data sampling regression is applied to forecast quarterly GDP growth based on the selected monthly and daily predictors. Empirical results show that forecasts using dynamic predictors and mixed-frequency data have better accuracy comparing to traditional forecasting methods. Moreover, forecasts with leads and forecast combination can further improve forecast performance.