基于流程视角的创业研究框架构建

创业研究是国内外学术界关注的焦点之一,对当前我国国有企业改革和民营经济发展具有重要的意义.但对创业研究的框架一直存在争议.通过分析美国百森大学(Babson College)<创业研究中心创业研究前沿>(frontiers of entrepreneurship research,FER)中1995年-2002年的1 042篇学术会议论文和中国期刊网上1995-2004年的400篇有关创业研究的学术文章,回顾国内外创业研究的状况.提出创业研究应建立在企业寿命周期的基础上,基于流程视角展开,建立创业研究的一个新的分析框架.通过创业流程的维度分析已有的创业研究成果,便于建立创业研究的系统框架,发现当前研究的不足之处,指出未来可能的研究领域.     

双向FDI与经济增长的实证研究

从双向FDI的角度分析OFDI和IFDI与经济增长的关系。选取双向FDI对经济增长的3个主要影响因素,分别对双向FDI与GDP、投资、净出口和产业结构的关系进行实证分析。研究发现:双向FDI对于GDP和投资都具有拉动作用;IFDI对投资的影响滞后4期才能产生,对净出口的增长起到正向促进作用;OFDI的扩大不利于净出口的增长;双向FDI与三次产业都存在较强的灰色关联度。据此,提出改善对内对外投资环境、发挥双向FDI对固定资产投资和净出口的促进作用、强化双向FDI对产业结构的调整作用等建议。     

Robust sparse regression and tuning parameter selection via the efficient bootstrap information criteria

There is currently much discussion about lasso-type regularized regression which is a useful tool for simultaneous estimation and variable selection. Although the lasso-type regularization has several advantages in regression modelling, owing to its sparsity, it suffers from outliers because of using penalized least-squares methods. To overcome this issue, we propose a robust lasso-type estimation procedure that uses the robust criteria as the loss function, imposing L₁-type penalty called the elastic net. We also introduce to use the efficient bootstrap information criteria for choosing optimal regularization parameters and a constant in outlier detection. Simulation studies and real data analysis are given to examine the efficiency of the proposed robust sparse regression modelling. We observe that our modelling strategy performs well in the presence of outliers.     

Navigating health care: brokerage and access for undocumented Latino immigrants under the 2010 Affordable Care Act

ABSTRACT

Brokerage is a prominent mechanism that explains access for Latino immigrants to many American institutions. However, few studies examine the dual nature of brokerage in answering questions on access to health care for undocumented Latino immigrants. The growing importance of Federally Qualified Health Centers (FQHCs) and ethnic navigators connecting immigrants to health care under the 2010 Affordable Care Act calls attention to the duality of brokers and its role in access. The study draws from 44 in-depth interviews with providers, clinic directors, navigators, and immigrant patients and two years of fieldwork in FQHCs in California’s San Francisco Bay Area (2011–2013). Results show that brokers enable access through coaching and myth-busting but they also hinder it through scrutiny and bureaucratic filtering. The widespread dependence on brokerage, I argue, leads to ersatz brokerage, such as when providers navigate the health-care system for the undocumented without the appropriate linguistic resources or coordination. Furthermore, the study shows that the duality in brokerage generates misinformation, churning, and alienation. Understanding the relational processes that both include and exclude vulnerable populations from needed services enhances theories of immigrant integration and can help design more efficient policies and address inequalities related to documentation status.     

Violence in the name of god? A framing processes approach to the Islamic State in Iraq and Syria

Since summer 2014, the insurgent group ‘Islamic State in Iraq and Syria’ (ISIS) has become a major concern for international politics and global security due to its rapid territorial gains, violent operations and the propagation of Salafi-jihadist ideology. This study aims to enhance the academic understanding of ISIS by demystifying the ideological reasoning behind its use of violence. It therefore investigates the link between structural factors that served ISIS’s evolution, its ideological outlook and the significance of this ideology to legitimize violent action. As its theoretical basis, the study employs framing processes within the study of social movements. Methodologically, discursive frame analysis serves to explore the relation of ISIS’s ideology to structural events and experiences to better understand how the group justifies violence. Therefore, the study draws on audio speeches and issues of the magazines Dabiq and Dar al-Islam published by ISIS, which are examined on the rhetoric of othering, collective identity and justifying violence. It is argued that ISIS constructs a collective action frame which creates a social reality that bestows the group with a rationale for action. ISIS’s ideology, based on Islamic symbolism, presents an interpretative lens which assigns meaning to the structural environment of ISIS’s emergence. In this context, violence is justified as a necessity to defend Islam and as an obligation for the true Muslim believer. The discussion concludes that ISIS’s ideology legitimizes the very existence of the group and conceals its mundane struggle for power, territory and wealth through reference to divine authority.     

No Expo Network: a failed mobilization in a post-political frame

In 2015 Milan hosted the Universal Exposition with the theme ‘Feeding the Planet, Energy for Life’. Even if characterized by various scandals and problems, the edition was narrated by the mainstream media as a political and economic success. Critical voices were almost completely obscured by favorable propaganda and the ideas of development and the future proposed by the Expo rhetoric was presented as inevitable, configuring ‘the best of all possible worlds’ in a more general post-political frame. In this profile I first present the main characteristics of the No Expo Network, e.g. the actors that composed it and the main critiques that they advanced. I will then focus on the reasons for its defeat, which is then contextualized in relation to the election of the Chief Executive Officer of Expo 2015 as new Mayor of Milan. Here, we can see the continuation and structural strengthening of the neoliberal politics of Expo2015 beyond the mega event itself.     

Bayesian elastic net single index quantile regression

Single index model conditional quantile regression is proposed in order to overcome the dimensionality problem in nonparametric quantile regression. In the proposed method, the Bayesian elastic net is suggested for single index quantile regression for estimation and variables selection. The Gaussian process prior is considered for unknown link function and a Gibbs sampler algorithm is adopted for posterior inference. The results of the simulation studies and numerical example indicate that our propose method, BENSIQReg, offers substantial improvements over two existing methods, SIQReg and BSIQReg. The BENSIQReg has consistently show a good convergent property, has the least value of median of mean absolute deviations and smallest standard deviations, compared to the other two methods.     

情境植入视角下第三人称指称形式的所指定位

由于第三人称不是言语交际的直接参与者,其指称形式的所指定位存在诸多复杂的情况。基于Langacker的情境植入理论,分析探讨英汉日常语言中第三人称指称形式所指定位的认知规律。研究发现,英汉日常语言中第三人称指称形式的所指会在形态、语义及范畴层次等方面发生变化,其具体定位需通过话语参与者共建话语框架并进行认知加工才能得以完成。     

Bayesian robustness of the compound Poisson distribution under bidimensional prior: an application to the collective risk model

The distribution of the aggregate claims in one year plays an important role in Actuarial Statistics for computing, for example, insurance premiums when both the number and size of the claims must be implemented into the model. When the number of claims follows a Poisson distribution the aggregated distribution is called the compound Poisson distribution. In this article we assume that the claim size follows an exponential distribution and later we make an extensive study of this model by assuming a bidimensional prior distribution for the parameters of the Poisson and exponential distribution with marginal gamma. This study carries us to obtain expressions for net premiums, marginal and posterior distributions in terms of some well-known special functions used in statistics. Later, a Bayesian robustness study of this model is made. Bayesian robustness on bidimensional models was deeply treated in the 1990s, producing numerous results, but few applications dealing with this problem can be found in the literature.