中央银行再贷款：泛化、反稳定性与道德风险

中央银行再贷款是中国人民银行投放基础货币的重要渠道,是我国特有的一种货币政策工具。基于对新形势下中央银行再贷款制度变迁的分析,现行再贷款政策存在泛化、准财政化、反稳定性、衍生道德风险等问题,必须从制度上规范再贷款的运用,并适时建立金融稳定机制。     

新中国七十年企业会计改革发展的演进逻辑与理论诠释

建国七十年来企业会计改革在社会主义建设中纵横捭阖,在改革开放中创新开拓,交织出中华民族伟大复兴棋局中的会计经纬。随着新中国七十载时代变迁和历史沉淀,企业会计改革发展持续释放出影响深远的力度、深度与温度,焕发出蓬勃的制度生命力与广泛的理论影响力。站在新的历史方位上,以马克思实践唯物主义为逻辑起点,以我国企业会计改革发展历程为研究基础,钩沉与梳理七十载企业会计改革发展演进脉络,探索与诠释七十载企业会计改革发展理论内涵,以期进一步丰富和发展中国特色企业会计理论与方法体系,推动企业会计改革发展更好地服务新时代经济社会进步。     

北京市办公业的空间格局演变及其模式研究

通过对北京城市写字楼2009年调研数据的空间统计,研究北京市办公业的空间格局演变及其模式.研究发现:北京市写字楼总体呈现集聚的空间分布模式,分布重心向北倾斜明显,主要分布方向为"西北-东南",空间离散程度逐渐加大,显有逐渐向近郊及远郊推进的趋势.同时,北京市写字楼的空间分布经历了分散-集中-再分散的过程,"西北-东南"向的空间格局标示着北京城市办公功能空间布局的主导方向;其演变模式先后经历了离散-极化-扩散-稳定四个发展阶段.未来一段时间内,在中心城区内部已形成的办公集聚区的空间承载量有限的情况下,办公活动将向外扩展,办公活动郊区化将对缓解中心城区高度集聚、平衡城区与郊区发展不平衡的矛盾和优化城市功能空间分布起到积极作用.     

我院科研工作现状分析及其发展趋势研究

本文分析了我院近年来科研活动的基本规律与科研队伍的构成及其特点,在此基础上,对我院科研工作的发展趋势进行了探讨,明确了科研工作在我院可持续发展中的作用,并对我院科研队伍的培养和科研质量的提高提出了建设性意见.     

生产性服务业外资企业投资分布演化——基于江苏省的实证研究

随着全球生产制造活动向我国的大规模转移,近年来服务业外国直接投资也表现出了快速增长的势头。本文以制造业外国直接投资较为集中的江苏省为研究对象,重点从集聚的"路径依赖"效果和产业关联作用两个角度考察了生产性服务业外资企业的投资分布状况及其空间演化。结果表明,短期内,路径依赖效果和产业关联作用都产生了显著影响,但长期影响效果还不是很明显。     

企业生命周期各阶段的TMT认知演化

TMT认知是TMT决策行为的重要来源,作为影响TMT绩效的关键因素之一,近年来引起了学者们的广泛关注。以往有关TMT认知的研究多数关注于TMT认知与决策绩效、企业绩效的作用机制,是一系列对TMT认知静态层面的研究。然而,企业在不同的生命周期阶段,为适应内外部环境的变化, TMT需要不断调整战略决策,在此过程中, TMT认知也具有动态演化的过程。文章通过回顾TMT认知、企业生命周期理论及TMT生命周期的相关文献,突破了在TMT生命周期内研究TMT认知的局限,把TMT认知与企业生命周期的变化有机结合,构建了企业生命周期各阶段的TMT认知演化模型,探索TMT认知如何随着企业生命周期的变化而发生演变。该模型从理论角度客观地反映了TMT认知在企业生命周期各阶段的演化进程,为企业判断是否需要调整TMT认知以适应企业发展需要提供了参考,同时也为更好地解释TMT认知与TMT绩效、企业绩效的关系提供了新的思路。     

温州城市形态构成要素演化研究

通过对温州城市形态要素演化过程的分析,理清城市空间形态演化的历史脉络,从而对温州城市空间形态的发展历程进行反思。得出结论,实现现代温州城市形态和谐、均衡的前提是城市形态各要素在传承历史文脉、尊重环境前提下的均衡与协调发展。     

Schumpeter and the revival of evolutionary economics: an appraisal of the literature

During the last two decades we have seen a revival of interest in the works of Joseph Schumpeter and “evolutionary” ideas in economics more generally. A professional society honouring Schumpeter's name has been founded, and linked to it we have had for more than fifteen years now a professional journal devoted to this stream of thought. However, it has been argued that, despite these developments, the link between Schumpeter's own work and the more recent contributions to evolutionary economics is in fact rather weak. This paper considers this claim. Based on an analysis of Schumpeter's contribution to economics the paper presents an overview and assessment of the more recent literature in this area. It is argued that although there are important differences between Schumpeter's work and some of the more recent contributions, there nevertheless remains a strong common core that clearly distinguishes the evolutionary stream from other approaches (such as, for instance, so-called “new growth theory”). RID="*" ID="*" Many people have contributed to this paper in various ways. Jon Hekland at the Norwegian Research Council started it all by asking me to make an overview of the contribution from “evolutionary economics” to our understanding of contemporary economies. Several people helped me on the way by supplying written material, comments and suggestions, and I am indebted to all of them. Brian Arthur, Stan Metcalfe, Keith Pavitt, Erik Reinert, Paolo Saviotti and Bart Verspagen may be particularly mentioned. A preliminary version was presented at the conference “Industrial R&D and Innovation Policy Learning – Evolutionary Perspectives and New Methods for Impact Assessment” organised by the Norwegian Research Council (“SAKI”) at Leangkollen, Asker, April 18–19.2002. I wish to thank the discussant, Tor Jakob Klette, and the participants at the conference for useful feedback. Moreover I have benefited from comments and suggestions from the editors and referees of this journal. The final responsibility is mine, however. Economic support from the Norwegian Research Council (“SAKI”) is gratefully acknowledged.     

An enhanced approach for Trend Impact Analysis

Decision makers in governments, corporations and institutions all need to forecast the future. Usually, traditional quantitative forecasting techniques are applied for this purpose. But the limitation of such methods is well known since all quantitative methods that are built solely on historical data (whether time-series or causal methods) produce forecasts by extrapolating such data into the future ignoring the effects of unprecedented future events that could cause deviation from the original surprise-free forecast if they were to occur. In the meanwhile, pure qualitative methods that don't utilize historical data miss its sound foundation. In the field of future studies, attempts are often made to combine quantitative and qualitative approaches using various hybrid methods such as Trend Impact Analysis. This paper introduces an advanced algorithm to enhance Trend Impact Analysis that adds another level of sophistication to the current algorithm. This advanced algorithm takes into account not only the impact of unprecedented future events' occurrences on the future trend, but also the different severity degrees with which the event might occur. This idea of severity degrees is novel, and its implementation is the main contribution of this paper.