中国情境下多层面体面劳动测量指标体系研究

体面劳动不仅是社会文明与进步的发展目标,也是企业的社会责任和劳动者的基本权益,构建合理的体面劳动测量指标体系具有重要的意义。体面劳动的实现是一项复杂的系统工程,需要国家、企业和劳动者的共同努力。因此,需要结合我国具体国情,在国家政府、企业、劳动者个人三个层面上分别从就业、权利、社会保护和社会对话四个维度构建更为科学的测量指标体系。     

多层次农村金融体系的构建研究

农村金融体系所面对的是利益明显处于劣势的农民、农业和农村经济,脆弱的金融体系不利于有效解决"三农"问题。为了满足日益增长的农村金融需求,分析了目前我国农村金融体系的现状,确定了我国农村金融体系服务"三农"的目标,在此基础上,探讨了如何创新金融服务形式,完善农村金融体系,建立一个多层次、能够提供多样化和差异化服务的多层次农村金融体系。     

Complexity of economic structures and emergent properties

This concept revolves around differences of embeddedness of organizations in the macro patterns of routines (economic policy regimes), which in turn may differentially provide them–and the system as a whole–with ‘procedural rationality’ in dealing with identified problems in their relevant complex environment. Regularities of interdependence are specified between different regime patterns and the variety of coordination routines between and inside micro organizations. Corresponding regularities are also observed for internal governance routines of organizations, which in turn determine the behavioral adaptation by self-organization that may be rationally in a local perspective, but–contingent on the organization’s embeddedness in the coordination structure–not necessarily so in a comprehensive one.

多层次资本市场中的“新三板”对高新科技园区经济发展作用分析与实证研究——以中关村科技园区为例

文章从多层次资本市场及“新三板”的基本概念和在我国发展的背景出发，通过系统分析总结出高新科技园区经济的五大特性，揭示了“新三板”对高新科技园区经济发展的战略意义。“新三板”在北京中关村高新科技园区的实践，证明了“新三板”对科技园区的投融资体系建设具有的巨大促进作用。文章对在我国现实金融体制下，如何发展科技金融、解决科技创新与风险资本之间的对接渠道设计、最终达成破解科技型中小企业融资难的问题具有积极的探索意义。     

Estimation of a dynamic multi-level factor model with possible long-range dependence

A dynamic multi-level factor model with possible stochastic time trends is proposed. In the model, long-range dependence and short memory dynamics are allowed in global and local common factors as well as model innovations. Estimation of global and local common factors is performed on the prewhitened series, for which the prewhitening parameter is estimated semiparametrically from the cross-sectional and local average of the observable series. Employing canonical correlation analysis and a sequential least-squares algorithm on the prewhitened series, the resulting multi-level factor estimates have centered asymptotic normal distributions under certain rate conditions depending on the bandwidth and cross-section size. Asymptotic results for common components are also established. The selection of the number of global and local factors is discussed. The methodology is shown to lead to good small-sample performance via Monte Carlo simulations. The method is then applied to the Nord Pool electricity market for the analysis of price comovements among different regions within the power grid. The global factor is identified to be the system price, and fractional cointegration relationships are found between local prices and the system price, motivating a long-run equilibrium relationship. Two forecasting exercises are then discussed.     

From intention to action on sustainability reporting: The role of individual,organisational and institutional factors during war and post-war periods

This study examines the role of individual, organisational, and institutional factors in influencing the decision to engage in sustainability reporting (SR) and, how these factors change from war to post-war periods. Drawing on semi-structured interviews of Sri Lankan top and middle-level managers, the study finds that while individual and institutional factors play a role in SR, organisational factors predominate as both facilitators and inhibitors of SR in both war and post-war periods. This finding suggests the organisational level ultimately is the conduit of SR, although shaped by individuals and by institutional forces that come into confluence therein. The end of the civil war enabled the country to focus on economic and social development, a phase that witnessed the amplification of the role of organisational factors in SR. The social and economic impacts of the civil war manifested themselves contemporaneously and well after hostilities ceased; organisations experienced inflated expectations from government and communities, for example, through soldiers’ rehabilitation and infrastructure development. By employing a multi-level analysis, the study offers insights into the dynamic between individual, organisational, and institutional factors influencing SR, highlighting the merit of this research approach.     

A multi-level understanding of trust development in contexts of blurred organizational boundaries: the case of crowdfunding

Are trust development processes in settings of blurred organizational boundaries different from those in conventional organizational settings, and if so, how? Taking the crowdfunding campaigns of the Fin-Tech Monzo as examples of settings of blurred organizational boundaries, we analyze how the three main trust forms (individual, organizational, and institutional trust) emerge and interact in the campaigns’ online discourse and develop a process model that captures distinct trust development dynamics. We contribute to the trust literature by highlighting increased dynamics and co-existence of trust forms, and by showing that the validation of extra-organizational boundary spanners is crucial to compensate for a missing personal interaction in settings of blurred organizational boundaries. We also contribute to the crowdfunding literature and derive managerial implications.     

The impact of COVID-19 on the evolution of online retail: The pandemic as a window of opportunity

Pandemic-related shocks have induced an unexpected volatility into the evolution of online sales, making it difficult for retailers to cope with frequently occurring, drastic changes in demand. Relying on a socio-technical approach, the purpose of this paper is to (a) offer a deeper insight into the driving forces of online sales during the pandemic, and (b) investigate whether pandemic-related shocks accelerate the long-term growth of online retail. Novel, high-frequency data on GPS-based population mobility and government stringency is used to demonstrate how time spent in residential areas and governmental restrictions drive the monthly evolution of online sales in 23 countries. We deconstruct these effects into three main phases: lure-in, lock-in, and phase-out. Lastly, using time series analysis, we show that the pandemic has induced a level shift into the long-term growth trend of the online retail sector in the majority of countries investigated.