贫困山区农户茶叶生产技术效率及影响因素研究

基于湖北省382份茶叶种植户调研数据,采用随机前沿生产函数模型“一步估计”法分析贫困山区农户茶叶生产技术效率和影响因素。研究结果表明:样本户茶叶种植存在较大改进空间;样本户资本和劳动力投入剩余;茶园的海拔、树龄、茶农是否加入合作社、种植面积、户主是否受过种茶培训等因素对农户茶叶生产技术效率有重要影响。因此,提出紧抓乡村振兴战略机遇,推动贫困山区茶产业高质量发展;建立茶产业“三项补贴”,改善茶园基础设施条件;优化茶叶种植布局,提高合作社服务水平;成立茶产业发展基金,加快培育职业茶农,以提高贫困山区农户茶叶生产技术效率。     

社会资本视角下农村基础设施管护效果影响因素分析——基于甘肃省9个市县的实证研究

以甘肃省9个县市的调查数据为基础,将社会资本划分为社会参与、社会规范、互惠网络三个维度,运用结构方程模型,来探讨三个维度对农村基础设施管护效果的影响。结果表明:(1)社会规范对农村基础设施管护效果显正向影响。(2)互惠网络对农村基础设施管护效果显负向影响。(3)社会参与对农村基础设施管护效果的直接影响不显著,但通过社会规范及互惠网络间接产生影响。(4)就总效应而言,社会规范对农村基础设施管护效果的影响要大于社会参与及互惠网络产生的影响。     

Factor extraction using Kalman filter and smoothing: This is not just another survey

Dynamic factor models have been the main “big data” tool used by empirical macroeconomists during the last 30 years. In this context, Kalman filter and smoothing (KFS) procedures can cope with missing data, mixed frequency data, time-varying parameters, non-linearities, non-stationarity, and many other characteristics often observed in real systems of economic variables. The main contribution of this paper is to provide a comprehensive updated summary of the literature on latent common factors extracted using KFS procedures in the context of dynamic factor models, pointing out their potential limitations. Signal extraction and parameter estimation issues are separately analyzed. Identification issues are also tackled in both stationary and non-stationary models. Finally, empirical applications are surveyed in both cases. This survey is relevant to researchers and practitioners interested not only in the theory of KFS procedures for factor extraction in dynamic factor models but also in their empirical application in macroeconomics and finance.     

Systemic circular business model application at the company,supply chain and society levels—A view into circular economy native and adopter companies

This study contributes to the conceptualization of a sustainable circular business model (CBM), the application of the circular economy (CE) by companies. The study utilized a three-level framework adapted from the CE literature with company (micro), supply chain (meso) and society (macro) levels. This multiple-case study in the textile industry included two types of companies operating in the CE: companies founded on the sustainable principles of a CE (natives) and companies transitioning to a CE from the linear economy (adopters). The findings show that the adopters emphasized long-term economic sustainability on a company level and implemented CE elements to varying degrees on all three levels. The natives pursued business decisions from environmental and social sustainability standpoints, and the three levels were integral in their systemic approach to a CE. The study highlights two key claims: established operational structures and economic volition hindered adopters in their systemic CE implementation, and an integral part of the CBM for natives was a proactive approach towards the society level.     

人力资源柔性研究现状及其在中国商业银行实践新思考

通过理论基础、维度与测量、影响因素、组织绩效影响等4个方面对人力资源柔性研究现状做文献研究述评,并基于此提出研究与实践新方向,提出本土国情下中国商业银行人力资源柔性、创新能力以及创新实践的测量体系,探讨人力资源柔性与创新能力以及创新实践之间的影响关系,充分考虑外部环境对上述关系的影响,提出中国商业银行业务创新实践的概念模型。该模型有助于拓展人力资源柔性理论的实证研究,并基于研究成果深入剖析适合中国商业银行发展的人力资源柔性管理模式。     

胜任力模型背景下的人力资源管理研究

在企业管理工作中,人力资源管理是非常重要的管理内容,而胜任力模式是人力资源管理的重要手段之一,可以提升人力资源管理的质量和水平。企业要想在激烈的竞争环境中占据有利地位,就需要将员工的胜任力最大限度地发挥出来,使员工能够和企业同发展、共进步。基于此,论文从胜任力模型入手,对其在企业人力资源管理中的应用及创新策略进行了分析,以供参考。     

现代资产定价理论的研究和发展——基于有效市场假说和资产定价模型的视角

围绕对有效市场假说的联合检验假设难题、资本资产定价模型的检验、“贝塔通缉令”“因子动物园”“多因素模型大战”等重点和核心话题,对现代资产定价理论文献的研究脉络进行梳理和评述,在此基础上对未来资产定价的研究重点和方向提出建议。     

How have the dependence structures between stock markets and economic factors changed during the COVID-19 pandemic?

This study investigates how the dependence structures between stock markets and economic factors have changed during the COVID-19 pandemic using the dynamic model averaging approach. A series of economic factors such as commodity markets, cryptocurrency, monetary policy, international capital flows, and market uncertainty indices are considered. We find that the importance of economic variables and the sign and size of their coefficients are significantly different from those before the COVID-19 pandemic. The stock markets are most influenced by economic factors during the COVID-19 outbreak.     

基于超效率SBM模型的珠三角区域物流效率及影响因素分析

物流效率是反映物流绩效水平的重要指标.以珠三角城市群9个地市(不含香港特别行政区和澳门特别行政区)为研究对象,基于珠三角9个地市2010—2019年的面板数据,采用超效率SBM模型和GM L指数,测算珠三角城市群各地市的物流效率值及变动趋势.研究表明:技术进步是珠三角区域物流效率提升的主要因素,综合管理水平有待提高;珠三角区域的物流效率总体处于中等偏上效率水平且变化不大,深圳市物流效率水平提升较快且效率最高,东莞市物流效率最低,珠海市效率值起伏最为明显,整个测算期间呈"W"形走势.为进一步探讨外部因素对珠三角区域物流效率的影响程度,选取Tobit模型进行回归分析,发现区位优势对珠三角地区物流效率的提升起到了重要的作用.     

女性高管对企业研发创新的影响：一个有调节的中介模型

企业创新是企业持续发展的内在动力,也是推动国家产业升级、建设创新型国家的重要举措.近年来女性高管比重不断提高,学术界开始关注女性高管对企业研发创新的影响.以沪深两市2010—2018年A股上市公司为研究样本,实证检验女性高管对企业研发创新投入的影响.结果表明:女性高管负向影响企业研发创新投入;其负向作用以风险承担为中介实现;企业所有制调节了中介过程的后半段路径.