政府减排目标、产业结构与污染减排

政府是污染减排的重要主体,了解其行为对污染减排的作用对提升污染减排效果及实现中国绿色发展具有重要意义。创造性地将政府减排目标纳入研究框架,构建面板门槛模型,从工业污染排放总量的角度分析政府减排目标、产业结构、经济规模等因素对地方污染减排的影响,并用工业污染物强度进行稳健性检验。结果显示,政府减排目标对污染减排的作用存在阶段性不同:经济发展初级阶段,政府减排目标对污染排放总量的作用方向为正; 经济发展水平较高时,作用方向为负; 两者之间存在适应性调整阶段,作用方向具有不确定性,但总体由正向作用向负向作用转变。产业结构对工业污染排放总量的作用方向因污染物种类而异,经济规模对工业污染排放总量作用方向为正。     

基于个性化需求的产品竞争供应链结构选择

基于"制销分离"与"定制一体"两种结构选择，构建个性化产品供应链处于非竞争与竞争环境下的博弈模型，在引入一个实际案例的基础上，运用算例仿真比较分析两种运营模式下的供应链运作策略和盈利差异。结果显示：与制销分离结构相比，个性化产品供应链选择定制一体结构，有利于匹配产品个性化制造、提升产品个性化水平和市场需求、增加供应链的期望收益；个性化产品供应链选择制销分离结构时，适度的批发价格激励能够提升产品个性化水平、更好满足消费者个性化需求、改善供应链的运营绩效，分销商适度让利加大批发价格激励力度可显著促进产品个性化制造互动、提升产品个性化水平；竞争将消减个性化产品供应链的运营绩效，但选择定制一体结构可显著提升竞争力。     

异质性技术视角下中国高技术制造业创新效率研究

目前，学术界对选取何种风险调整贴现率期限结构还存在争议，导致对同类投资项目得 出不同的管理指引意见． 针对这一争议，本文通过划分资本产出方式， 寻找影响贴现率结构的 主要因素． 研究表明，不确定的宏观经济产出和项目非系统风险共同影响风险溢价系数， 同时 风险溢价系数决定贴现率期限结构． 其中，当风险溢价系数大于某确定阈值， 贴现率随时间递 增; 其余情况表现为递减．     

疫情之下数字经济发展对经济的影响研究

2020年，我国第一季度GDP同比下降6.8%，消费、投资两大引擎均呈现显著的负增长，新冠肺炎疫情对国民经济和居民生活造成了巨大的冲击。文章通过对“非典”时期与新冠肺炎疫情时期我国经济发展状况的比较分析，研究数字经济发展对经济的影响。结果表明，现阶段我国产业结构和互联网发展程度相比“非典”时期有显著变化，在线医疗、在线教育、电商送货、在线办公等数字经济产业是我国应对疫情不利影响、实现产业转型升级并稳定就业的新引擎。加快推动数字经济和各行业的深度融合，是我国数字经济发展的重点方向。     

居民养老保险:参保主体、筹资与待遇水平

本文从参保结构、筹资水平和待遇水平等3个方面对城乡居民养老保险制度进行了分析。研究发现,在参保结构方面,伴随着城镇化率的提高,居民养老保险参保人数的相对比例在下降;在筹资水平方面,个人缴费水平过低,其主要原因是财政补贴资金激励性不足,从而需要在进一步提高财政补贴的同时,优化补贴结构,提高对个人缴费的激励作用;在待遇方面,居民养老金总体水平较低、但增长幅度较大,与职工待遇相比,替代率的差距要远远小于绝对额的差距。     

Correlation properties of continuous-time autoregressive processes delayed by the inverse of the stable subordinator

Abstract

We define the delayed Lévy-driven continuous-time autoregressive process via the inverse of the stable subordinator. We derive correlation structure for the observed non-stationary delayed Lévy-driven continuous-time autoregressive processes of order p, emphasizing low orders, and we show they exhibit long-range dependence property. Distributional properties are discussed as well.     

工会推进产业工人队伍建设的探索研究

产业工人是工人阶级的主体,在国民经济发展建设中发挥支撑作用。工会作为代表广大工人阶级利益的群众组织,在推进产业工人队伍建设改革中肩负着不可推卸的责任和重担。在目前新形势和时代变革下,我国产业工人队伍建设的现状还不能很好地适应经济转型中出现的新情况和新问题。对工会推进产业工人队伍建设的情况进行研究,在借鉴制造业强国经验的基础上,从思想政治引领、搭建发展平台、打造能力提升工程、利用“互联网+”和完善保障体系五个方面进行探索建设,从而为工会组织持续打造高素质产业工人队伍工作提供政策借鉴。     

Childhood family structure and complexity in partnership life courses

This study investigated the associations between childhood living arrangements and complex adult partnership trajectories. The authors defined first union dissolution as the event initiating a complex partnership life course, and measured the level of complexity using a weighted cumulative index of subsequent partnership episodes. The analyses were based on a representative sample of the German population born in 1971–73 from the German Family Panel and used multivariate hurdle models to estimate the probability of experiencing the initiation of a complex partnership trajectory, as well as the level of complexity. Results showed that respondents who did not grow up with both biological parents (i.e. those who experienced an alternative family structure) had both a greater likelihood of experiencing the dissolution of their own first union, and followed more complex subsequent partnership trajectories. These associations varied across types of (alternative) family structures experienced during childhood and according to the level of parental partnership (in)stability. This study contributes to our understanding of contemporary partnership complexity and its precursors using a long term life course theoretical and methodological frame. We acknowledge that continuities and disruptions in the development of adult (complex) partnership trajectories can be linked to a growing diversity of family structure in childhood. Thereby, we expand knowledge on intergenerational interdependencies of family instability and complexity beyond the reproduction of the event of union dissolution.     

调整和优化我国社会结构的机制路径选择

改革开放以来，我国社会获得前所未有的飞跃发展，而社会结构却明显滞后于经济结构，社会管理中的各种问题和矛盾日益凸显，社会结构基本呈现亚稳态特征。当今社会建设的核心是创新社会管理机制，优化调整社会结构。     

Spectral goodness of fit for network models

We introduce a new statistic, ‘spectral goodness of fit’ (SGOF) to measure how well a network model explains the structure of the pattern of ties in an observed network. SGOF provides a measure of fit analogous to the standard R² in linear regression. Additionally, as it takes advantage of the properties of the spectrum of the graph Laplacian, it is suitable for comparing network models of diverse functional forms, including both fitted statistical models and algorithmic generative models of networks. After introducing, defining, and providing guidance for interpreting SGOF, we illustrate the properties of the statistic with a number of examples and comparisons to existing techniques. We show that such a spectral approach to assessing model fit fills gaps left by earlier methods and can be widely applied.