粤港澳大湾区西部核心产业创新空间提升规划思考 ——以顺德为例

在粤港澳大湾区一体化发展背景下,顺德以土地换产值的传统增长模式难以为继,制造业面临巨大的下行压力,根本原因是城市创新空间系统性、产学研协同创新转化、优质服务的创新空间不能匹配顺德日益增长的发展需求.本文结合产业创新空间相关基础研究,从内外部创新空间格局视角,重点梳理顺德产业创新空间方面的规划探索.从区域创新合作、多元创新协同、提升空间供给等方面总结既有经验并提出新的思考.     

Hard thresholding regression

In this paper, we propose the hard thresholding regression (HTR) for estimating high‐dimensional sparse linear regression models. HTR uses a two‐stage convex algorithm to approximate the ?₀‐penalized regression: The first stage calculates a coarse initial estimator, and the second stage identifies the oracle estimator by borrowing information from the first one. Theoretically, the HTR estimator achieves the strong oracle property over a wide range of regularization parameters. Numerical examples and a real data example lend further support to our proposed methodology.     

Generalized information matrix tests for copulas

We propose a family of goodness-of-fit tests for copulas. The tests use generalizations of the information matrix (IM) equality of White and so relate to the copula test proposed by Huang and Prokhorov. The idea is that eigenspectrum-based statements of the IM equality reduce the degrees of freedom of the test’s asymptotic distribution and lead to better size-power properties, even in high dimensions. The gains are especially pronounced for vine copulas, where additional benefits come from simplifications of score functions and the Hessian. We derive the asymptotic distribution of the generalized tests, accounting for the nonparametric estimation of the marginals and apply a parametric bootstrap procedure, valid when asymptotic critical values are inaccurate. In Monte Carlo simulations, we study the behavior of the new tests, compare them with several Cramer–von Mises type tests and confirm the desired properties of the new tests in high dimensions.     

Estimation of the additive hazards model with interval-censored data and missing covariates

The additive hazards model is one of the most commonly used regression models in the analysis of failure time data and many methods have been developed for its inference in various situations. However, no established estimation procedure exists when there are covariates with missing values and the observed responses are interval-censored; both types of complications arise in various settings including demographic, epidemiological, financial, medical and sociological studies. To address this deficiency, we propose several inverse probability weight-based and reweighting-based estimation procedures for the situation where covariate values are missing at random. The resulting estimators of regression model parameters are shown to be consistent and asymptotically normal. The numerical results that we report from a simulation study suggest that the proposed methods work well in practical situations. An application to a childhood cancer survival study is provided. The Canadian Journal of Statistics 48: 499–517; 2020 © 2020 Statistical Society of Canada     

Dynamic optimal capital growth of diversified investment

We investigate the problem of dynamic optimal capital growth of diversified investment. A general framework that the trader maximize the expected log utility of long-term growth rate of initial wealth was developed. We show that the trader's fortune will exceed any fixed bound when the fraction is chosen less than critical value. But, if the fraction is larger than that value, ruin is almost sure. In order to maximize wealth, we should choose the optimal fraction at each trade. Empirical results with real financial data show the feasible allocation. The larger the fraction and hence the larger the chance of falling below the desired wealth growth path.     

中国城乡居民年龄别消费模式量化与分析

文章采用2010年中国家庭追踪调查(CFPS)数据量化分析年龄别居民消费模式。针对同类研究只采用年龄变量作为自变量的不足,在经典的需求和消费函数基础上扩展年龄变量构建计量模型,获得了更好的解释力和准确性。基于计量分析结果刻画了分年龄、性别的中国城乡居民消费模式,并进行城乡比较。研究发现,居民家庭消费生命周期中存在30~34岁及45~49岁两个消费高峰;城乡居民消费差距最大的是高龄老人;农村老人在高龄阶段的医疗保健消费明显下降;农村中年妇女的医疗保健支出低于男性。研究认为,应从政策层面有针对性地加大对特定年龄性别人群的扶助力度;同时,未来产业规划应充分考虑人口结构变动因素的影响。     

杭州智慧城市建设与智慧经济发展路径研究——基于系统集成的视角

本文梳理了20世纪末以来杭州在城市信息化发展上的历程,分析了杭州智慧城市建设和智慧经济发展的优势和难点,阐述了杭州智慧城市建设产业链条,基于系统集成的理念构建了杭州智慧城市建设和智慧经济发展战略模型。     

试析韩国再次要求延迟战时作战指挥权移交的动因

在韩国战时作战指挥权即将于2015年12月1日由驻韩美军移交给韩国之际,由于韩国自身独立指挥体系、针对朝鲜非对称威胁而构筑的杀伤链和韩国型导弹防御系统尚未建成以及持续不稳的周边环境,韩国再次要求延迟战时作战指挥权的移交。这必然会对韩国自身、朝韩关系、韩美关系、朝鲜半岛乃至东北亚局势造成影响。     

高校工会为非编制人员维权服务的现状与策略创新研究 ——以S省高校为例

维护职工合法权益是工会的基本职责。近年来高校工会工作对象从编制内人员扩展到非编制人员,维权服务工作面临着新的问题和挑战。基于S省高校的抽样调查数据与深度访谈资料显示,各高校在签订劳动合同、缴纳社会保险等方面都能按照要求规范进行,能按时足额发放薪酬,有相应的制度和管理规范,非编制人员的基本权益得到了保障。各高校工会组织积极履职,提高非编制人员的组织化程度和维权意识,帮助他们反映合理诉求,维护和保障非编制人员的合法权益,保证了职工队伍的稳定和谐。但也存在着工会维权职能发挥不充分,法治方式运用不足;工会制度不到位,维权机制不健全;工会主动作为不够,作用发挥不充分等问题。因此,创新高校工会非编制人员维权工作,必须加强法治思维,树立依法维权的理念;加强制度建设,完善工会维权机制;加强人文关怀,发挥工会桥梁和纽带作用。     

CPI之GEKS指数序列更新方法及窗口长度选择问题辨析

大数据来源下CPI指数的创新编制,对及时了解新经济时代的物价走向和识别通胀危机、预测宏观经济拐点以实现我国通胀治理现代化、推动经济平稳和高质量发展具有重大意义。GEKS多边指数是近些年国际学术界重点研发的大数据热点价格指数,但其构造方法颇具争议。借助超市扫描大数据,就GEKS指数序列更新方法、窗口长度选择等学界难题开展理论与实证研究,获得了以下富有启发性的结论:①GEKS指数序列更新方法2、3应用效果相对较差;②随着窗口长度的增加,GEKS环比价格指数会趋于单位值,不同更新方法下的GEKS链式指数也会呈现一定的趋同性;而GEKS指数的通胀趋势判断力却不受此影响,但更新方法的选择却会导致其不同的通胀趋势预测结果;③更新方法4会随着窗口长度的增加而呈现更强的替代偏误,方法1却没有出现明显的替代偏误。综合而言,更新方法1和13个月窗口长度应该是编制GEKS指数序列更为合理的组合方式。