风险投资与孵化器结合初探

建立孵化器，是促进科技成果转化、培育科技型中小企业的有效途径,是被实践证明了的加速高新技术产业化的重要经验，也是建设国家创新体系的重要组成部分。对孵化器和风险投资结合的初步研究，可以更好地把两相融合，更好地培育科技型中小企业，从而加速高新技术产业化进程。     

低碳视角下发展绿色物流的思考

从我国物流业碳排放现状着手,分析了低碳视角下发展绿色物流的意义以及存在的问题,在此基础上从基础设施建设及低碳化设备应用、行业政策法规完善及标准制定、低碳物流理念普及与低碳人才培养、外部激励机制推进、低碳物流技术研发、企业低碳创新能力提升等方面提出了低碳视角下发展绿色物流的几点思考。     

“互联网+”时代下人力资源管理的转型研究——以A健身俱乐部为例

对人力资源管理领域而言,“互联网+”时代正面临着传统与新兴的融合。因此,在全面了解人力资源管理新趋势的前提下,如何在新形势下基于互联网思维,迎合企业发展需要,改革传统管理模式,创新发展互联网背景下的人力资源管理显得尤为重要。研究开始介绍了相关概念,分析了“互联网+”时代对人力资源管理的影响,而后介绍了A健身俱乐部的人力资源管理现状及其问题,最后结合当今时代特点为其明确了转型目标、转型对策及保障措施,为企业更好地实现新时代下人力资源管理提供了参考。     

论互联网与保险科技结合的重要性

随着互联网科技的快速发展,其影响力已深入市场经济的各个部分,保险行业依托云计算、大数据等互联网科学技术,不断推动自身发展。但在互联网科技时代,互联网保险行业也出现了诸多问题,有必要对这些问题进行探讨,并提出相应的指导策略。     

我国城市建筑垃圾资源化现状及对策研究

随着我国基础设施的大规模建设以及城镇化进程的快速推进,建筑垃圾的产生量日益增多。建筑垃圾资源化作为解决当前环境问题的一种有效途径,对实现资源的优化配置以及经济社会的可持续发展具有重要意义。论文首先阐述了建筑垃圾资源化的基础理论,并采用建筑面积估算法对我国城市建筑垃圾的产生量进行了估算,进而分析了我国建筑垃圾资源化的现状,并提出了实现建筑垃圾资源化的具体对策。     

盾构机自动控制技术现状与展望

随着我国社会主义市场经济的迅速发展以及科技水平的不断提升,交通运输行业得到了蓬勃发展。当前,随着我国地下隧道等各项工程建设数量的不断上升,盾构机的重要性不言而喻。加强对盾构机自动控制技术的研究工作,不断解决该技术应用过程中存在的问题,才能有效地促进技术应用,为提升我国地下工程施工安全性能奠定技术支持。     

Sovereign and bank dependence in the eurozone: A multi-scale approach using wavelet-network analysis

This study establishes time–frequency networks of sovereign and bank contagion in the eurozone over the period 2009–2021. By applying discrete wavelet transformation, daily CDS premia of sovereigns and systemically important banks are decomposed into multi-horizon components to specify directed and dependence-weighted networks. Dynamic analysis shows that the network connectivity and the strength of the dependencies are significantly lower after the introduction of the European Banking Union in 2014. While the strength effect is pronounced across all time horizons, the network connectivity only reduces in the short and medium run. This provides evidence that the new regulatory framework promotes financial stability but is more effective in the short and medium horizons. The consideration of the COVID-19 pandemic as a real-life stress test confirms these findings as the strength of the dependencies keeps at significantly lower levels.     

Do stock market returns predict changes to output? Evidence from a nonlinear panel data model

Recent empirical work suggests a predictive relationship between stock returns and output growth. We employ quarterly data from a panel of 27 countries to test whether stock returns as useful in predicting growth. Unlike previous research, our approach allows for the possible non-linear effect of recessions on the growth-return relationship. There is strong evidence to suggest that a linear model would be misspecified and provide potentially misleading inference. Using a switching regression approach, we find evidence that returns are most useful in predicting growth when the economy is in recession.First version received: November 2002/Final version received: April 2003This paper benefited greatly from discussions with Kalvinder Shields, Mark Harris, Pete Summers, and Vance Martin. Two anonymous referees provided useful comments on an earlier version of the paper for which we are grateful. The usual disclaimer applies to any errors and omissions. Funding from The University of Melbourne greatly assisted in the completion of this paper.     

临夏模式:形成、发展与转型

依赖于商贸经济和以皮毛加工为主导产业的临夏模式，未能使临夏实现经济起飞的原因是区际贸易的低水平均衡陷阱把其经济发展限制在了一个狭小的范围。因此，如何通过市场规模的扩展形成需求效应，是临夏这种欠发达民族开放地区实现区域工业化的基本途径。     

Medical insurance with rank-dependent utility

Summary. A well-known result in the medical insurance literature is that zero co-insurance is never second-best for insurance contracts subject to moral hazard. We replace the usual expected utility assumption with a version of the rank-dependent utility (RDU) model that has greater experimental support. When consumers exhibit such preferences, we show that zero co-insurance may in fact be optimal, especially for low-risk consumers. Indeed, it is even possible that the first-best and second-best contracts are identical. In this case, there is no “market failure”, despite the informational asymmetry. We argue that these RDU results are in better accord with the empirical evidence from US health insurance markets. Received: February 26, 2001; revised version: October 4, 2002 RID="*" ID="*"The authors would particularly like to thank Simon Grant, John Quiggin, Peter Wakker and an anonymous referee for valuable comments and suggestions on earlier drafts. The paper has also benefitted from the input of seminar audiences at The Australian National University, University of Auckland, University of Melbourne and University of Sydney. Ryan also gratefully acknowledges the financial support of the ARC, through Grant number A000000055. Correspondence to:R. Vaithianathan