人民币升值路径及其福利效果

人民币升值路径可以从时间路径和空间路径两个角度来进行研究。在多重的政策目标下，中国目前选择了渐进的升值方式，升值过程中名义汇率与物价水平共同调整。伴随有通货膨胀和资产价格泡沫的升值方式会从增量和存量两个方面改变社会的福利分配，这要求有相应的福利调整措施进行配套，以维护社会的公平和稳定。     

路径依赖的作用:家庭联产承包责任制的建立与演进

人地比例、耕作技术、土地产权制度之间的互动循环导致了中国历史时期土地产权制度演进中路径依赖的形成。中国目前人口与资源（土地）之间的紧张关系就是历史时期土地产权制度演进的结果，这一约束条件决定了中国土地产权制度只能是朝着更加周密细致地保证农民土地长期使用权与收益权的方向演进。从公社一级到三级所有、大队为基础，到三级所有、队为基础，再到家庭联产承包责任制的建立，直至承包期限由短期变为长期，由15年变为30年。这一步步的演进都是朝着保证农民土地长期使用权与收益权的方向回归，显现出制度变迁过程中路径依赖的作用。由于历史时期土地产权制度演进的影响，家庭联产承包责任制完善的方向应该是土地国家终级所有的前提下，强化农民现有土地长期使用权，并通过法律手段保证土地使用权的转让。     

一般城市融入都市经济圈一体化进程的路径选择

就都市经济圈内一般城市融入一体化进程的基本方向和主要路径进行分析,指出其具体的路径选择主要包括培育统一要素市场,对接产业分工与协作,融入都市圈快速交通圈,打造通用信息平台,遵循区域发展总体规划实施城镇体系发展分区规划,交流与共享人才资源,创新政府公共协调制度等方面.一般城市通过上述方式汇入都市圈一体化进程,以此实现整个都市圈,进而实现城市自身利益最大化的发展目标.     

智慧物流的发展路径与发展模式

从发展路径和发展模式两个方面分别研究了我国电商企业、物流企业和制造企业在当今背景下发展企业智慧物流的特点,并对部分典型企业的实践案例进行分析。分析了电商物流、物流企业、制造企业发展智慧物流的路径,提出电商物流、物流企业、制造企业发展智慧物流的典型模式,并进行了相应的对比分析,为今后我国企业发展智慧物流提供了参考和建议。     

Diversity in foresight: Insights from the fostering of innovation ideas

Foresight activities have often provided support for objectives such as priority-setting, networking and consensual vision-building. In this paper, we draw upon complementary evolutionary perspectives and discuss these objectives from the viewpoint of diversity which may be vital in contexts characterized by technological discontinuities and high uncertainties. We also argue that although the scanning of weak signals has been widely advocated in such contexts, the solicitation of ideas for prospective innovations may provide more focused, action-oriented, and comparable reflections of future developments. For the analysis of such ideas, we develop a collaborative foresight method RPM Screening which consists of phases for the generation, revision, multi-criteria evaluation, and portfolio analysis of innovation ideas. We also report experiences from a pilot project where this method was employed to enhance the work of the Foresight Forum of the Ministry of Trade and Industry in Finland. Encouraging results from this project and other recent applications suggest that RPM Screening can be helpful in foresight processes and the development of shared research agendas.     

基于知识理论的企业成长路径选择机制研究

从效率分析的角度对企业成长路径进行研究,基于知识特性剖析了企业成长的路径选择机制,并对企业成长的路径选择提出了建议。     

政策性农业保险推广对农民收入的增进效应与作用路径解析--对渐进性试点的准自然实验研究

政策性农业保险作为重要的支农政策工具之一,除了起到农业风险管理作用之外,从长期来看还具有促进农民增收等效应。本文通过对已有文献进行梳理,讨论了政策性农业保险推广对农民收入增加的作用路径,并基于准自然实验的思路,将我国各省开展政策性农业保险试点作为外生冲击,利用2000~2016年的省级数据,使用渐进性双重差分的方法,评估政策性农业保险推广对农村居民收入以及收入结构的长期影响效果。研究发现,政策性农业保险试点对农村居民人均农业收入和人均非农收入的影响均是正向显著的,并且有助于区域内农村居民非农收入比重提高,这一效果随试点时间推进不断强化。此外,本文进一步检验了政策性农业保险推广对于城乡关系的间接效应,发现政策性农业保险试点对城镇居民收入的影响不大,对城乡收入差距缩小具有一定作用。     

风险投资成功退出的风险识别与微观控制路径设计

风险投资以成功退出创业企业为进入的假设前提,但其股权投资超额预期收益的实现过程经历大量风险,本文识别了阻碍风险投资成功退出的关键风险,并考虑可控性,从风险投资公司自身角度研究控制投资风险的微观路径。     

Risk management under extreme events

This article presents two applications of extreme value theory (EVT) to financial markets: computation of value at risk (VaR) and cross-section dependence of extreme returns (i.e., tail dependence). We use a sample comprised of the United States, Europe, Asia, and Latin America. Our main findings are the following. First, on average, EVT gives the most accurate estimate of VaR. Second, tail dependence of paired returns decreases substantially when both heteroscedasticity and serial correlation are filtered out by a multivariate GARCH model. Both findings are in agreement with previous research in this area for other financial markets.     

Inference with Dependent Data in Accounting and Finance Applications

We review developments in conducting inference for model parameters in the presence of intertemporal and cross‐sectional dependence with an emphasis on panel data applications. We review the use of heteroskedasticity and autocorrelation consistent (HAC) standard error estimators, which include the standard clustered and multiway clustered estimators, and discuss alternative sample‐splitting inference procedures, such as the Fama–Macbeth procedure, within this context. We outline pros and cons of the different procedures. We then illustrate the properties of the discussed procedures within a simulation experiment designed to mimic the type of firm‐level panel data that might be encountered in accounting and finance applications. Our conclusion, based on theoretical properties and simulation performance, is that sample‐splitting procedures with suitably chosen splits are the most likely to deliver robust inferential statements with approximately correct coverage properties in the types of large, heterogeneous panels many researchers are likely to face.