工资对个人劳动供给的非线性影响：部门市场化程度差异视角

从市场经济体制的建立到经济社会高质量发展，我国不同部门市场化程度有所差异，劳动供给的部门异质性随之体现。基于中国劳动力动态调查数据，结合汉森门槛回归模型和劳动供给模型，依托部门市场化程度的差异性，文章探讨了工资对劳动力个人供给的非线性影响及其部门异质性。主要得出以下研究结论：第一，我国市场部门与公共部门劳动力的个人劳动供给有所差异。第二，工资与个人劳动供给呈现非线性关系并且存在部门异质性。实证分析结果显示，工资对个人劳动供给的影响存在三个"突变点"，工资门槛均使得工资"激励效应"加强并呈现逐步增加的趋势。第三，劳动供给的工资门槛存在性别、城乡和行业异质性。第四，随着年龄增长、人力资本积累，个人劳动时间供给趋于降低，签署书面劳工合同使得市场部门劳动力工作时间显著增加，而政治面貌显著影响公共部门劳动供给。总体来看，无论是市场部门还是公共部门，我国劳动力个人供给曲线均未"向后弯曲"，国民经济高质量发展、改善收入分配格局、提升居民幸福感等议题需持续关注。     

央行沟通与通货膨胀预期

通过合理政策有效引导通货膨胀预期对当前中国经济具有重要现实意义.本文用自回归分布滞后模型和EGARCH模型捕捉央行沟通对通胀预期及其波动的影响.实证结果表明:央行沟通传递的货币政策信息被市场有效捕捉和解读,实现了通胀预期管理目的,增加沟通频率能有效降低通胀预期波动;但央行的"言行偏离"加剧了短期通胀预期波动,降低了央行沟通和货币政策操作的实际效果;通胀预期存在分布厚尾性和右偏斜,市场出现极端预期的概率较大,且更倾向于预期通胀上升,通胀预期波动的群聚特性表明其具有阶段性自我强化特征.研究结论为央行沟通的有效性提供了实证支撑,揭示出的通胀预期分布特征对提高央行预期管理措施的针对性具有参考价值.     

Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.     

How is Benevolent Leadership Linked to Employee Creativity? The Mediating Role of Leader–Member Exchange and the Moderating Role of Power Distance Orientation

Previous research has shown that virtuous leader behavior in the form of benevolent leadership has considerable impact on employee creativity. However, little is known as to how and under what conditions these constructs are linked. In the current research, we proposed and tested a moderated mediation model positing leader–member exchange (LMX) as a mediator, and employee power-distance orientation as a moderator of this relationship. Two studies were conducted to test our hypothesized model. In Study 1, repeated measured data collected from 284 Chinese employees in an information technology company demonstrated that benevolent leadership had a lagged effect on LMX. In Study 2, analyses of multisource and lagged data from 391 Chinese employees in 42 research and development teams, and their direct supervisors indicated that benevolent leadership was positively related to supervisor-rated employee creativity via LMX. In addition, the relationship between benevolent leadership and LMX was stronger for employees high in power-distance orientation. Theoretical implications of benevolent leadership’s research and practical contributions concerning promoting creativity in organizations where benevolent leaders prevail are also discussed.     

我国“一带一路”沿线地区风险投资时空分布及影响因素研究

深入分析我国“一带一路”沿线地区风险投资时空格局及影响因素，有助于促进创新创业与企业发展、提高区域科技创新水平。运用空间分析方法和空间计量模型，对2003-2018年我国“一带一路”沿线139个城市风险投资的时空分布特征及影响因素进行分析，结果表明：①沿线地区的风险投资发展具有不均衡性，呈现为沿海高、西部低的分异格局；②风险投资的全局自相关系数均为正，呈现出明显的空间集聚特征；③风险投资机构数、国家高新区数量、风险投资退出、政府引导基金发展、财政科技支出对区域风险投资具有显著促进作用，环境污染对风险投资有一定抑制作用。随着ESG投资理念逐渐获得认可，沿线地区可以通过提升绿色发展水平促进风险投资发展。     

户籍制度扭曲及放松对经济的影响:理论与实证

户籍制度是我国劳动力流动的主要障碍.那么,当前我国的户籍扭曲程度几何?户籍制度放松对经济又会有怎样的影响?对这些问题的回答将有助于政府评估户籍制度改革的空间和经济效益.文章在Hansen和Prescott(2002)的两部门劳动力流动模型基础上,将工人分为农业和非农户口,引入户籍扭曲因子,构建两部门两类工人的户籍扭曲模型;然后,使用1984?2013年宏观经济数据度量户籍扭曲程度,并对2013年我国户籍制度逐渐放松过程中经济变量的变化进行模拟;最后,文章建立了包含"农业与非农"和"本地与外地"户籍差异的省份异质性户籍扭曲模型.研究表明:(1)经济和户籍制度改革的不同步导致了1984?2013年我国户籍扭曲程度呈现倒"U"形变化,且相较于韩国尚有较大的改善空间;(2)以韩国为参照,若2013年我国户籍制度完全放开,经济达到均衡时,农业部门和非农部门的就业人数将分别下降58.83%和上升26.92%,工资率将分别上升19.44%和下降6.77%,社会增加值将增长15.33%,这说明社会经济效率将得到提升,贫富差距将缩小.文章丰富和完善了户籍扭曲的理论模型,从减少劳动力流动摩擦的视角为政府制定相关政策提供了参考.     

Workplace Injury and the Failing Academic Body: A Testimony of Pain

Journal of Business Ethics - In its three decades of development, many constructs of cause-related marketing have been tested from different perspectives and in varied contexts. However, there has...     

Covariance breakdowns and connectedness of crude oil futures markets with non-synchronous data

ABSTRACT

This article identifies the breakdowns in the covariance of three benchmark crude oil futures markets (WTI, Brent and Dubai) and investigates the changes of market connectedness across the breakdown periods. As the crude oil futures are traded in different regions, this article eliminates the non-synchronous trading data by employing the Vector Moving Average structure and the Bayesian data augmentation approach, which keeps the integrity of original data without changing its properties. The results show that there are significant breaks in the covariance structure of crude oil futures markets. The breakdown periods are consistent with the periods when the market volatilities are at high level and the returns are volatile. The changes of market connectedness are independent of the covariance states, which supports the globalization hypothesis for the crude oil market. The results also suggest that there is more information flow out of the WTI than to the WTI during the sample period, particularly during the breakdown periods in 2008–2009.     

智能制造有利于增加企业技术创新投入吗——基于智能制造试点的准自然实验

智能制造是我国制造业转型升级的主攻方向,而如何准确客观评价智能制造的实施效果成为亟待解决的问题.从技术创新投入视角,将智能制造试点政策实施视为一次准自然实验,采用2011-2019年制造业上市企业面板数据,通过PSM-DID方法研究智能制造对企业技术创新投入的影响.研究结果表明,智能制造显著影响企业技术创新投入,即通过提升客户集成度、供应商集成度进而提高企业技术创新投入,且促进作用仅发生在民营企业和非高新技术行业中.该发现扩展了现有研究外延,同时,为解决当前国际困局和促进智能制造的持续推广提供了重要实践价值.     

Effect of CSR and Ethical Practices on Sustainable Competitive Performance: A Case of Emerging Markets from Stakeholder Theory Perspective

Journal of Business Ethics - An extensive work has been done on corporate social responsibly practices (CSRPs) that mainly emphasized the larger firms within developed nations. Nonetheless, still...