绵阳出口加工区的优劣势及对策

绵阳出口加工区在优惠政策、政府扶持等方面拥有发展优势,其健康发展在提升地方城市功能、扩大就业、拉动周边地区产业发展等方面将起显著作用;但该加工区的包括区位等比较劣势也很明显,如没有得到很好解决,将直接影响其发展潜力。因此,加工区应在基础建设、招商引资和政府管理等方面加强建设。     

湖北自贸试验区的制度创新:实践特征、理论内涵与政策启示

建设湖北自贸试验区是新发展阶段全面深化改革、扩大开放的系统性探索和战略实践,从动态演进论与制度变迁、制度经济学的交易成本论以及公共经济学的公共物品供需视角,对自贸试验区制度创新的理论逻辑与实践意义予以系统研究。研究发现,湖北自贸试验区围绕加快转变政府职能、深化投资领域改革、促进贸易转型升级、推动金融开放创新、创新驱动发展以及服务国家战略等方面展开了一系列制度创新实践,逐步形成由浅入深、由线下向线上线下协同发展、由共性领域向特色领域逐步延伸、从前项到末端统筹安排、借鉴与创新并举以及集中推广与自主运用相结合的改革创新发展路径。研究认为,推动湖北自贸试验区的制度创新,充分发挥其在破解地方深层次结构性发展矛盾和扩展增长赋能空间上的功能内涵,需要在顶层制度设计方面,加强与国内国际双循环新发展格局相互衔接,通过完善监管体系设计、提升行政服务效率来转变政府监管职能和健全市场监管,构建由法律法规、行政规章、规范性文件共同组成的、与国际规范兼容协调的法制框架和政策体系,统筹为国家试制度、出经验的全局性战略目标与谋求为地区经济发展注活力、添动力的局部性现实需求之间的激励导向; 在具体实施路径层面,持续优化开放平台、营商环境和加强口岸智慧功能建设,着力培育和强化大城市、大枢纽、大口岸、大平台、大产业以及一流的营商环境等,构建开放型经济新体制和多维量化评估指标体系,实现自贸试验区制度创新实践探索、经验成效审视验证、赋能社会经济发展以及长远建设规划目标的有机协调统一,助力湖北建设新时代内陆开放新高地。     

给定限期条件下的应急系统优化选址模型及算法

针对应急系统的特点,提出了在满足应急系统时间紧迫性的前提下,基于系统的费用最小的数学模型,并给出了相应的求解算法,并从理论上证明了该应急系统模型求解方法的正确性。     

On Pitman's measure of closeness of k-records

Pitman closeness of both the upper and lower k-record statistics to the population quantiles of a location–scale family of distributions is studied. For the population median, the Pitman-closest k-record is also determined. In the case of symmetric distributions, the Pitman closeness probabilities of k-record statistics are shown to be distribution-free, and explicit expressions are also derived for these probabilities. Exact expressions are derived for the required probabilities for uniform and exponential distributions. Numerical results are given for these families and also the Pitman-closest k-record is determined.     

ＧＩＳ技术支持下的北宋初期丝路要道灵州道复原研究

在９世纪后半叶乃至整个１０世纪的丝绸之路东、中段交通网络系统中，灵州道占有一席之地。宋初，大食、回鹘、于阗以及归义军等民族政权多通过灵州道与北宋王朝进行经贸、文化往来。本文主要针对这一时段内灵州道的畅通情况及其道路性质进行探讨，在原有文献考证的基础上，利用考古资料、ＧＩＳ技术，尽可能实现对灵州道古地名数据的精确地理定位，最后使用ＡＲＣＧＩＳ技术，绘制灵州道的道路走向地图，为北宋灵州道区域的政治、经济、文化交流综合研究提供地理学依据。     

Daily Inhalation Rate and Time‐Activity/Location Pattern in Japanese Preschool Children

Lack of data on daily inhalation rate and activity of children has been an issue in health risk assessment of air pollutants. This study aimed to obtain the daily inhalation rate and intensity and frequency of physical activity in relation to the environment in Japanese preschool children. Children aged four–six years (n= 138) in the suburbs of Tokyo participated in this study, which involved three days' continuous monitoring of physical activity using a tri‐axial accelerometer and parent's completion of a time/location diary during daily life. The estimated three‐day mean daily inhalation rate (body temperature, pressure, saturated with water vapor) was 9.9 ± 1.6 m³/day (0.52 ± 0.09 m³/kg/day). The current daily inhalation rate value of 0.580 m³/kg/day proposed for use in health risk assessment in Japan is confirmed to be valid to calculate central value of inhaled dose of air pollutants in five‐ to six‐year‐old children. However, the 95th percentile daily inhalation rate of 0.83 m³/kg/day based on measurement for five‐year‐old children is recommended to be used to provide an upper bound estimate of exposure that ensure the protection of all five‐ to six‐year‐old children from the health risk of air pollutants. Children spent the majority of their time in sedentary and light level of physical activity (LPA) when indoors, while 85% of their time when outdoors was spent in LPA and moderate‐to‐vigorous physical activity. The results suggest the need to consider variability of minute respiratory ventilation rate according to the environment for more refined short‐term health risk assessment.     

Bounded risk estimation of a linear combination of location parameters in negative exponential distributions via three-stage sampling

The paper deals with the problem of bounded risk point estimation for a linear combination of location parameters of two negative exponential distributions. Isogai and Futschik considered the situation when the location and scale parameters are all unknown. They proposed purely sequential procedures and gave second order expansions of the average sample sizes and risks. In this paper we propose three-stage procedures and derive second order expansions of the average sample sizes and risks. Further, we compare the results with those from previous work.     

Quantile Regression for Location‐Scale Time Series Models with Conditional Heteroscedasticity

This paper considers quantile regression for a wide class of time series models including autoregressive and moving average (ARMA) models with asymmetric generalized autoregressive conditional heteroscedasticity errors. The classical mean‐variance models are reinterpreted as conditional location‐scale models so that the quantile regression method can be naturally geared into the considered models. The consistency and asymptotic normality of the quantile regression estimator is established in location‐scale time series models under mild conditions. In the application of this result to ARMA‐generalized autoregressive conditional heteroscedasticity models, more primitive conditions are deduced to obtain the asymptotic properties. For illustration, a simulation study and a real data analysis are provided.     

我国企业品牌定位的五层次研究

近年来中国企业的品牌建设取得了可喜的成绩,出现了许多优秀品牌,这些品牌凭借独特、合适的定位取得了成功。但企业在品牌定位方面存在许多误区,如把品牌定位看作产品定位、品牌定位模糊,缺乏差异性和明确的核心价值、品牌盲目延伸导致定位混淆等问题。因此,产品品牌定位必须树立正确的定位理念,应用正确的品牌定位方法。正确的品牌定位方法可分为产品特征定位、物质利益定位、情感利益定位、个性定位以及价值观定位共五个层次。     

Sequential estimation problems for negative exponential populations

The literature on sequential estimation problems for negative exponential populations has been reviewed here, We attempt to bring in all the published and unpublished materials known to us in a fairly coherent fashion. Both the concepts and theoretical findings are discussed.