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。     

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。     

税收优惠政策与高技术产业创新效率

研究目标：分析税收优惠政策对创新效率的影响以及创新效率的收敛性，测度税收优惠政策对创新带来的实际贡献。研究方法：构建随机前沿模型测度高技术产业的创新效率，采用σ收敛和β收敛检验方法检验创新效率收敛性，并采用反事实计量方法测度税收优惠政策对创新带来的实际贡献。研究发现：税收优惠政策对研发效率有显著正影响，对市场转化效率的影响为正但不显著，政策实施后效率分布也更集中；研发效率的收敛主要是由东中西地区内部之间差距的缩小造成的，而市场转化效率的收敛是由三大地区内部差距的缩小以及中西部和东部地区的差距缩小共同造成的；税收优惠政策使研发效率大约上升了8%～10%，带来的创新产出占总产出的比重也一直维持在10%以上。研究创新：从效率水平和收敛性两个角度来定量分析税收优惠政策对创新效率的影响。研究价值：为更好地采取措施提高创新效率和减小地区创新效率差距提供经验证据。     

Collaborative cost-cutting: productive efficiency as an interdependency between public organizations

Collaboration between public sector organizations is typically understood as a response to complexity. Agencies collaborate in order to address complex, cross-cutting policy needs that cannot be met individually. However, when organizational size is a constraining factor in public service efficiency, collaboration can also reduce costs by capturing scale economies unavailable to organizations of sub-optimal size. Using organization theory, the article conceptualizes these two different triggers for public sector collaboration, and builds a framework for tracing their wider impact upon the formation, operation, and outcome of inter-agency partnerships. The framework is illustrated, and its implications for future research are explored.     

Persistence of Price–Cost Margin and Technical Efficiency in the Indonesian Food and Beverage Industry

Abstract

This research investigates the persistence of price–cost margin (PCM) and technical efficiency (TE) of firms and the relation between these two factors in 44 subsectors of the Indonesian food and beverage industry in the period 1980–2014. Data envelopment analysis with a bootstrapping approach is applied to estimate TE. An autoregressive model, accounting for endogeneity, is applied to estimate the persistence coefficients of PCM and TE. A cross-sectional regression model is also applied to estimate the relation between the persistence of the PCM and the persistence of TE. The results show that for these food and beverage firms, high PCM and low TE persist. Furthermore, the persistence of PCM negatively affects the persistence of TE in the industry.     

企业突破性技术持续采用意愿的驱动机制研究

整合组织动机和期望确认理论，从购买动机视角探讨企业突破性技术持续采用意愿的驱动机制。将购买动机分为效率动机、规范趋同动机和模仿趋同动机，阐述购买动机对突破性技术持续采用意愿影响的微观机理。以198家购买过云计算技术的企业为研究样本，实证检验购买动机与突破性技术持续采用意愿间的关系，并检验满意和认知锁定的中介效应。结果表明：购买动机正向影响突破性技术持续采用意愿，满意和认知锁定在购买动机与突破性技术持续采用意愿之间起中介作用，各购买动机的中介作用路径呈现差异化。其中，效率动机的作用路径被满意和认知锁定部分中介，模仿趋同动机的作用路径被满意部分中介，规范趋同动机的作用路径被认知锁定部分中介。研究结论打开了企业突破性技术持续采用意愿的“黑箱”，对于企业深入理解突破性技术持续采用意愿的驱动机制，促进突破性技术在持续采用过程中发挥真正价值具有重要借鉴意义。     

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。     

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.     

经济政策不确定性与企业员工配置——来自沪深上市公司的经验证据

企业员工配置是企业内部管理的重要一环,经济政策不确定性是否会影响企业员工配置?本文以员工数量衡量企业员工配置,利用2010-2018年沪深A股上市企业数据和经济政策不确定性指数建立面板数据模型,考察经济政策不确定性对企业员工配置的影响,实证研究发现:经济政策不确定性会显著增加企业员工配置,且该影响经更换变量、调整样本容量以及内生性处理后依旧显著,该反应在还债能力较弱、盈利能力较差、股权制衡度较高、地区经济发展水平较低的企业中更为明显。文章的研究结论对于企业管理和宏观经济管控有一定的参考价值。