All work intensity is not created equal: Effort motives,job satisfaction and quit intentions at a grocery chain

Prior research has shown that the well-being of employees engaged in intensive work can vary with the discretion their jobs afford regarding how and when to carry out the work. This article explores a different avenue. It argues that well-being also varies with employees’ individual motives for working intensively. The article introduces self-determination theory to the domain of work intensity and focuses on two hypotheses. The first is whether intensive work driven by explicit or implicit incentives is more positively associated with an employee's job satisfaction than intensive work driven by job demands. The second is whether intensive work driven by intrinsic motives is more positively associated with job satisfaction than that driven by explicit or implicit incentives. In both these cases, the article also examines whether equivalent effects exist on (reduced) quit intentions. Original data from a major Greek grocery chain provide corroborative evidence that is robust to a rich set of covariates, including increasingly demanding adjustments for job discretion. The findings contribute to a more complete understanding of why differences in well-being exist among employees performing intensive work, with implications for workers and employers.     

成长冲动与风险对冲:经济政策不确定性如何影响企业海外并购

本文扎根于中国转型经济背景,提出了在经济政策不确定性影响下企业海外并购的两大动因,即成长冲动和风险对冲.同时认为:经济政策不确定性使得企业内生有机成长方式、外在本土并购扩张方式受到了阻碍;企业面临着因融资成本、非经营性成本增加带来的风险;此时,海外并购便成为企业的最佳策略.本文以2008-2018年中国沪深两市A股上市公司为样本,实证检验了上述影响机制.研究结果显示:经济政策不确定性较高时,在成长冲动和风险对冲的驱动下,企业倾向于使用海外并购来替代本土并购,且这种替代作用在非国有企业中更为明显.机制检验表明:成长冲动强烈、融资成本和非经营性成本较高、风险承担能力弱的企业更倾向于采取海外并购策略,以规避经济政策不确定性的影响.     

Asymmetric J-curve: evidence from UK-German commodity trade

Empirica - Previous studies that have investigated the J-curve phenomenon between the UK and its largest trading partner from the European Union (EU), Germany, used aggregate bilateral trade data...     

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。     

Hayek on the essential dispersion of market knowledge

The Review of Austrian Economics - A key insight in Hayek’s thought is the importance of so-called “local knowledge” in economic activity. In The Fatal Conceit, he states that...     

管理层权力制衡强度、债务约束与企业创新投资

企业创新是国家经济可持续增长的关键，受到管理层意愿的影响，因而需要对内部经营者的权力进行制衡。以2010-2018年我国A股上市公司为研究样本，实证检验管理层权力制衡强度对企业创新投资的影响，以及不同债务约束情境下高商业信用配置、高负债水平的调节效应，此外，还考察了产权性质的差异化影响。研究表明，管理层权力制衡强度越大，企业创新投资水平越高；高商业信用强化了该促进作用，而高负债水平弱化了该促进作用。进一步研究发现，管理层权力制衡强度与企业创新投资的关系在民企中更显著；国企能够更好地获得和运用商业信用，使其高商业信用对该关系的强化效应更显著；民企具有更强的债务约束，其高负债水平对该关系的弱化效应更明显。     

Quaker Business Ethics as MacIntyrean Tradition

Journal of Business Ethics - This paper argues that Quaker business ethics can be understood as a MacIntyrean tradition. To do so, it draws on three key MacIntyrean concepts: community,...     

互联网使用与个体生育意愿——基于信息成本和家庭代际视角的分析

探究生育意愿的影响因素,助力人口转变升级成为当前研究的重要方向.文章置身中国具体情境,基于中国社会状况综合调查数据(CGSS2017),从信息成本视角和家庭代际视角两个维度考察互联网使用对个体生育意愿的影响.研究结果表明,使用互联网以及互联网使用频率越高的个体,其生育意愿越低.进一步研究发现,已育史对于互联网使用频率影响个体再育意愿存在负向调节效应,对于已育个体而言,上网频率越高对再育意愿的抑制作用越加显著;代际"数字鸿沟"对于互联网使用频率影响个体生育意愿也存在显著的负向调节效应.当子代和父辈存在较大的代际"数字鸿沟"时,对于互联网使用频繁的个体,父辈沿袭下来的传统育儿经验和子代通过网络获取的育儿知识相冲突可能会引致更多的家庭矛盾,进而抑制个体生育意愿.反之,当代际"数字鸿沟"较小时,互联网使用频率对个体生育意愿的抑制效应亦有所减弱.文章的发现对于提升个体生育意愿以及生育率的研究具有一定启示意义.     

失败学习对企业绩效的影响机制研究

已有文献认为失败学习对企业绩效具有重要作用，但失败学习通过何种途径促进企业绩效提升的研究并不完善。基于失败学习理论，引入资源拼凑和机会识别作为中介变量，构建失败学习影响企业绩效的多路径模型，探索失败学习对企业绩效的驱动路径及内在机理。实证结果表明：失败学习对企业绩效具有显著积极作用，资源拼凑和机会识别分别在失败学习与企业绩效之间起中介作用，资源拼凑和机会识别在失败学习对企业绩效驱动过程中存在链式中介作用，战略柔性能够强化资源拼凑与企业绩效之间的关系，并正向调节资源拼凑的中介作用。研究结论拓展了失败学习对企业绩效的影响路径，对企业复苏和成长具有重要启示。     

Stochastic non-smooth envelopment of data for multi-dimensional output

The proposed method of Stochastic Non-smooth Envelopment of Data (StoNED) for measuring efficiency has to date mainly found application in the analysis of production systems which have exactly one output. Therefore, the objective of this paper is to examine the applicability of StoNED when a ray production function models a production technology with multi-dimensional input and output. In addition to a general analysis of properties required by a ray production function for StoNED to be applicable, we conduct a Monte Carlo simulation in order to evaluate the quality of the frontier and efficiencies estimated by StoNED. The results are compared with those derived via Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA). We show that StoNED provides competitive estimates in regard to other methods and especially in regard to the real functional form and efficiency.