创新要素投入产出效率随机变动测度与结果分析

创新要素配置在投入产出两个环节中生成大量不完全技术信息，投入产出效率随机变动更加明显。从投入产出数据集合中提炼共同因子，与不可观测变量构成预测器，建立因子增广向量自回归模型(FAVAR)，分析随机变动方差构成，测度投入产出效率随机变动程度。随机变动效应包括水平效应、稳定性效应和规模效应。投入产出效率自回归扰动项表示随机变动程度，将其细分为共同因子，计算预测器方差及其与投入产出效率的协方差。基于669家上市公司月度、季度、半年度和年度技术研发数据，比较分析投入产出效率随机变动程度及形成原因，引入脉冲响应法分析变量方差构成与变动特征，提出相关政策建议。     

Foreign investment regulation and firm productivity: Granular evidence from Indonesia

When regulating foreign direct investment (FDI), countries often face a trade-off between pursuing national policy interests and suffering efficiency losses due to FDI restrictions. We demonstrate the presence of this trade-off in the case of a protectionist FDI policy in Indonesia. Using a yearly census of Indonesian manufacturing firms from 2000 to 2015, we link product-level changes in binding FDI regulation due to major regulatory tightening to changes in firm-level productivity. Controlling for an extensive set of fixed effects as well as potential political economy drivers of regulation, we show that a tightening of the regulatory environment was successful in reducing foreign capital reliance among regulated firms, and led to increases in FDI among non-regulated firms producing the same product. Despite compensating increases in domestic capital, regulated firms experienced relative productivity losses. This points towards either a less efficient allocation of domestic capital or a general inferiority of domestic capital as compared to foreign investments.     

Total factor productivity convergence in German states since reunification: Evidence and explanations

A quarter-century after reunification, labor productivity in the states of eastern Germany continues to lag systematically behind the West. Persistent gaps in total factor productivity (TFP) are the proximate cause; conventional and capital-free measurements confirm a sharp slowdown in TFP growth after 1995. Strikingly, eastern capital intensity, especially in industry, exceeds values in the West, casting doubt on the embodied technology hypothesis. TFP growth is negatively associated with rates of investment expenditures. The stubborn East-West TFP gap is best explained by low concentration of managers, low startup intensity and the distribution of firm size in the East rather than R&D activities.     

Seasonality and regional productivity in the Spanish accommodation sector

This study quantifies the impact of peak demand and seasonality on regional productivity in the Spanish accommodation sector. We then identify factors affecting seasonal fluctuations and their relative contributions to regional variations in seasonality. The results show that demand for accommodation in the peak season mainly determines productivity. Thus, improving a region's attractiveness as a tourist destination is most effective for tourism-based regional development. In addition, reducing seasonal variations has a non-negligible impact on productivity. A decomposition analysis reveals that providing climate-independent tourist attractions and attracting business travelers are effective in reducing seasonality.     

Working with monsters: counting the costs of workplace psychopaths and other toxic employees

We explore the role of ‘Workplace Monsters’ in the global burden of disease, including the $US1.15 trillion annual cost of depressive and anxiety disorders. We propose the productivity drain created by these individuals is a wicked problem, integrating several disciplines to position workplace monsters as significant corporate governance issues for organisations. Our discussion covers Monster prevalence, impacts on fellow workers and estimates of the costs incurred to business. We classify Monsters as ‘appreciating liabilities’ and call for future research to develop means of accounting for their inherent organisational costs in an effort to prompt action to address their destructive impacts.     

Factor state–space models for high-dimensional realized covariance matrices of asset returns

We propose a dynamic factor state–space model for high-dimensional covariance matrices of asset returns. It makes use of observed risk factors and assumes that the latent integrated joint covariance matrix of the assets and the factors is observed through their realized covariance matrix with a Wishart measurement density. For the latent integrated covariance matrix of the assets we impose a strict factor structure allowing for dynamic variation in the covariance matrices of the factors and the residual components as well as in the factor loadings. This factor structure translates into a factorization of the Wishart measurement density which facilitates statistical inference based on simple Bayesian MCMC procedures making the approach scalable w.r.t. the number of assets. An empirical application to realized covariance matrices for 60 NYSE traded stocks using the Fama–French factors and sector-specific factors represented by Exchange Traded Funds (ETFs) shows that the model performs very well in- and out of sample.     

基于动态因子Copula模型的我国银行系统性风险度量

本文基于2007年至2019年我国14家上市银行的股票收益率,构建偏态t-分布动态因子Copula模型,利用时变荷载因子刻画单家银行与整个系统的相关性,计算联合风险概率作为系统性风险整体水平的度量,基于关联性视角提出了新的单家机构系统脆弱性和系统重要性度量指标——系统脆弱性程度和系统重要性程度。该方法充分考虑了银行个体差异性和系统的内在关联性以及收益率的厚尾性和非对称性,从而能够捕捉到更多的信息且兼具时效性。研究表明:银行机构在风险聚集时期相关程度更大,联合风险概率能够准确识别出系统性风险事件且在我国推行宏观审慎评估体系以后有明显降低;整体而言,大型商业银行系统重要性水平最高,同时风险抗压能力也最强;本文使用的度量方法降低了数据获取成本且更具时效性,有助于为宏观审慎差异化监管工作提供借鉴和参考。     

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。     

Are China’s regional agricultural productivities converging: How and why?

This article tests the hypotheses of convergence to a single level of total factor productivity (TFP), and a steady state of TFP growth rate in China’s agricultural sector. Based on multilateral TFP estimates we found that China’s agricultural sector has rebounded in recent years from a slower TFP growth in the 2005–2007 period. While convergence test results confirm a “catch-up” effect that provinces with lower TFP levels tend to grow faster than others, estimated rates of β convergence are conditional on how we capture the heterogeneity effect across regions. The rates of β convergence range from 0.016 to 0.039 under different model specifications. Estimates show that higher growth rates of educational attainment, R&D, and intermediate goods density (per unit of labor) can enhance TFP growth. Unfortunately, there is no evidence of an overall σ convergence, indicating that TFP levels are not converging except in the South region. It implies that to catch up with leading provinces, it would require extra efforts for those lagging behind by increasing their region-specific research investment, promoting rural educational attainment, and enhancing embodied technical change.     

粤港澳大湾区创新生态系统内部耦合时空演化及空间收敛分析

在构建以国内大循环为主体、国内国际双循环相互促进的新发展格局下，高效协同的区域创新体系有助于将粤港澳大湾区三地建设成为具有全球影响力的科技创新中心。通过构建创新生态系统综合评价指标体系，采用耦合协调模型和空间计量模型，实证检验大湾区10个城市2007-2019年创新生态系统内部耦合协调水平、时空跃迁特征以及收敛性。研究发现，大湾区整体及各城市耦合协调度呈上升趋势，基本实现从失调衰退区到协调过渡区的转化，具体可划分为4个等级层次；大湾区创新生态系统协调耦合度存在显著的绝对β与条件β收敛趋势，即最终收敛于同一稳态水平，且城市间差距逐渐缩小。其中，经济发展水平、对外交流水平、人力资本水平对创新生态系统协调耦合度起显著正向作用。