基于综合集成方法的产业技术创新战略联盟风险识别研究

首先探讨了产业技术创新战略联盟风险及其识别的复杂性;在此基础上,将综合集成方法引入到联盟风险识别问题的研究中,提出了联盟风险的综合集成识别框架;最后,运用此框架,结合调查数据,对国内联盟风险现状进行了实证分析,构建了国内联盟风险指标体系。     

Identification in a model of sorting with social externalities and the causes of urban segregation

This paper discusses nonparametric identification in a model of sorting in which location choices depend on the location choices of other agents as well as prices and exogenous location characteristics. In this model, demand slopes and hence preferences are not identifiable without further restrictions because of the absence of independent variation of endogenous composition and exogenous location characteristics. Several solutions of this problem are presented and applied to data on neighborhoods in US cities. These solutions use exclusion restrictions, based on either subgroup demand shifters, the spatial structure of externalities, or the dynamics of prices and composition in response to an amenity shock. The empirical results consistently suggest the presence of strong social externalities, that is a dependence of location choices on neighborhood composition.     

APPROACHES AND METHODS FOR THE ECONOMETRIC ANALYSIS OF MARKET POWER: A SURVEY AND EMPIRICAL COMPARISON

This study discusses two widely used approaches in the New Empirical Industrial Organization (NEIO) literature and examines the strengths and weaknesses of the Production-Theoretic Approach (PTA) and the General Identification Method (GIM) for the econometric analysis of market power in agricultural and food markets. We provide a framework that may help researchers to evaluate and improve structural models of market power. Starting with the specification of the approaches in question, we compare published empirical studies of market power with respect to the choice of the applied approach, functional forms, estimation methods and derived estimates of the degree of market power. Thereafter, we use our framework to evaluate several structural models based on PTA and GIM to measure oligopsony power in the Ukrainian dairy industry. The PTA-based results suggest that the estimated parameters of oligopsony power are significantly different from zero, while GIM-based results do not indicate any evidence of oligopsony market power in the Ukrainian dairy industry. Moreover, estimations results vary substantially due to the employed estimation procedure.     

How important can bank lending shocks be for economic fluctuations?

We analyze the quantitative importance of bank lending shocks on real activity fluctuations in Norway and the UK, using structural VARs estimated on quarterly data from 1988 to 2010. We find that an adverse bank lending shock causes output to contract, and that such shocks can account for a substantial share of output volatility. This suggests that financial intermediation is an important source of shocks. The empirical analysis comprises the Norwegian banking crisis (1988–1992) and the recent period of banking failures in the UK. However, the results are also non-trivial when omitting periods of systemic banking distress from the sample.     

具有身份鉴别功能的密钥分配体制

本文分析了几个密钥分配体制的优劣，并提出了一种将身份鉴别和密钥交换有效结合起来的密钥分配制体制。该体制在分解整数以及求解复合数Ｄｉｆｆｉｅ－Ｈｅｌｌｍａｎ问题都是困难的假定下是安全的。最后介绍一个新交互证明概念。     

注册会计师对第三人民事责任的理论研究

注册会计师对第三人民事责任是侵权领域的一个特殊问题,必须紧紧围绕注册会计师行业和社会公众的利益平衡,在侵权法的框架下重建注册会计师对第三人民事责任的基本归责原则,创建与第三人范围相对应的民事责任具体归责原则,确立比例责任为注册会计师民事责任的基本赔偿制度,构筑独立鉴定人名册制度、随机选任制度和鉴定人出庭作证制度合一的专家鉴定制度。     

RFID技术在我国物流行业的应用分析

目前RFID（无线射频识别）技术已被越来越多企业关注,文章阐述了RFID技术应用于物流行业各领域的。优势,重点对RFID技术还无法得以广泛应用的原因进行了分析,最后提出了对我国物流业发展RFID技术的思考和美好愿望。     

财税支持、高新资质认定与家族企业自主创新研究

中国家族企业研发投入不足、创新意愿不强。基于2008-2017年中国A股家族高新技术上市公司研究样本，从财税支持视角，分析高新资质认定政策对家族企业自主创新的影响。结果发现，家族企业通过高新资质认定后自主创新绩效显著提升，且高新资质认定后配套财税支持强化了这种激励效应。进一步发现，财税支持政策效果对高新资质认定初审阶段，以及融资约束强、无政治关联、高新开发区外、知识产权保护低的家族企业更加显著。最后，为完善高新资质认定及财税支持政策提出政策建议。     

创业机会识别过程：机会原型与结构匹配的作用

机会识别是企业家精神的核心思想之一，创业者往往因其经验劣势，难以发现和认知尚未被发掘的机会。现有研究对创业者如何利用机会原型，匹配技术和市场结构关系进而识别创业机会的内在机理仍缺乏深入考察。基于此，采用口语报告法，分析创业者机会原型和结构匹配在创业机会识别过程中的作用，揭示机会原型如何促进结构匹配的推理水平提升。结果表明：创业者更多地利用结构关系匹配识别机会，较少利用表面特征匹配；具有较高水平机会原型的创业者在机会识别过程中更多地利用结构关系匹配，表面特征匹配利用较少。研究结果丰富了创业机会识别认知理论，为解释为什么有些人能够识别别人看不到的机会的前置因素提供了基础。     

A quantitative reassessment of the finance–growth nexus: evidence from a multivariate VAR

The long-run relationship between financial development and economic growth is examined in a multivariate vector autoregression (VAR) framework using 10 sample countries. Difficulties surrounding the cross-country regressions and bivariate time series studies are outlined. The long-run financial development and output relationships are identified in a cointegrating framework through tests of over-identifying restrictions. We find bi-directional causality between financial development and economic growth in all the sample countries, conclusions that stand distinct from those in the existing empirical literature. We attribute our findings to: (i) analysis of a higher dimensional system, (ii) a new method of identifying the long-run economic relationships, and (iii) a new approach to long-run causality testing.