移民项目销号问题研究

阐述移民项目销号的意义和目的,结合三峡工程实际,分析并研究了移民项目销号的定义、内容、原则、对象、条件、程序及管理,提出高度重视,加强领导,全力推进移民项目销号工作;加强宣传和思想教育工作,消除移民思想顾虑;尽快制定、出台移民项目销号管理办法;严明纪律,确保移民项目销号质量;及时研究和解决移民项目销号的资金缺口问题。     

信息技术企业与风险资本的空间共生研究

信息技术企业与风险资本的空间共存至关重要。课题以1994～2014年获得风险资本融资的IT企业为样本,运用空间滞后模型,研究距离IT企业一定空间范围内风险投资机构数量、同行数量对IT企业风险资本融资金额的影响。研究发现,IT企业周围100公里以内、100～200公里、200～300公里、300～400公里范围内的风险投资机构数量均正向影响其融资金额,边际效应最大的是200～300公里范围,最小的是300～400公里范围。IT企业周围100～200公里以内和200～300公里范围内的同行数量正向影响其融资额,100公里以内和300～400公里范围内的同行数量则反向影响其风险资本融资额,尤其是100公里范围内同行的增加使其风险资本融资额大幅减少。研究结论为政府支持本地风险投资的发展提供了证据,同时也为IT企业的选址有借鉴意义。     

Do rival political parties enforce government efficiency? Evidence from Canada 1867–2021

This paper investigates the role of inter-party rivalry in enhancing federal government efficiency in post-Confederation Canada. It tests and finds confirmation in the data for two hypotheses. The first is that the ex post size of the first versus second seat share margin is a useful metric for the ineffectiveness of political parties in policing the incumbent's spending behaviour over its period of tenure. The second is the hypothesis that shirking by the incumbent governing party is decreased by greater expected electoral contestability and expected contestability is related to the effective number of competing parties (ENPSeats) nonmonotonically. In this regard the results suggest that contestability in Canada reaches a maximum when the incumbent faces a value of ENPSeats that is closer to 2.5 than Duverger's 2.     

Using Survey Sampling Algorithms For Exact Inference in Logistic Regression

Several exact inference procedures for logistic regression require the simulation of a 0-1 dependent vector according to its conditional distribution, given the sufficient statistics for some nuisance parameters. This is viewed, in this work, as a sampling problem involving a population of $n$ units, unequal selection probabilities and balancing constraints. The basis for this reformulation of exact inference is a proposition deriving the limit, as $n$ goes to infinity, of the conditional distribution of the dependent vector given the logistic regression sufficient statistics. It is proposed to sample from this distribution using the cube sampling algorithm. The interest of this approach to exact inference is illustrated by tackling new problems. First it allows to carry out exact inference with continuous covariates. It is also useful for the investigation of a partial correlation between several 0-1 vectors. This is illustrated in an example dealing with presence-absence data in ecology.