基于稳健稀疏主成分的经济增长影响因素分析

从传统生产要素、制度、金融和经济结构等四个方面选取了19个影响中国经济增长的变量,运用稳健稀疏主成分方法进行实证分析。结果表明物质资本、城镇化率、金融深度、城镇居民消费结构、基尼系数、技术水平已成为促进中国经济增长的主要动力,但东、中、西部经济增长的主要影响因素互不相同。在此基础上就如何进一步促进中国经济增长和区域经济均衡发展提出了若干政策建议。     

Seemingly unrelated systems of econometric equations

A generalization of Zellner's SUR model is derived for sets of seemingly unrelated systems of econometric equations. The resulting structural form – worked out for a set of Cowles Commission-type simultaneous equations systems – is general enough to include any SUR-type or panel-type specification of systems of econometric equations with contemporaneously correlated errors. Maximum estimation efficiency is obtained by treating all the individual subsystems at once rather than in a subsystem-by-subsystem fashion.     

走向一种绿色意识形态

与价值观不同，意识形态既是规范性的又是描述性的，或者说，既是价值评估性的也是知识追求性的。事实与价值之间的关系，被传统地以“二分法”的方式加以构建，实际上二者是一种互补关系，但这也并不意味着对矛盾关系的否认。一种建立在摆脱教条主义的唯物主义基础上的绿色理论，更有利于开展一种行之有效的实践，而这或许是绿色运动可以从马克思主义那里继承的最为重要的遗产。如果生态主义要想成为一种有影响的意识形态，就必须发展一种“绿色实践观”，创建“理论-实践”的统一体，并借助包含着价值考量在内的“中介”来跨越二者之间的鸿沟。     

绿色新政：欧洲走出危机的长期性、可持续计划

欧洲绿党所倡导的“绿色新政”，其目的在于实现在地球自然限制内带来经济繁荣、社会正义和生活幸福的经济社会的全面转型，而实现路径则依赖于对基础设施、工业产业、教育创新、社会聚合与自然环境等进行投资。由欧洲议会绿党党团委托支持、绿色智库“重构”完成的这一研究报告，试图构建一个相对不利环境下如何达到改变欧洲经济与社会状况的投资水平的金融体制。它认为，欧盟每年需将GDP的2%投资到2020年时实现CO2排放减少30%目标的工作中，并建议财源的主体应是私人投资，同时国家创造必需的激励和支持以吸引这些私人投资。     

The Promethean role of Europe: changing narratives of the political and scholarly left

ABSTRACT

The gradual abandoning of the ‘socialism in one country’ doctrine during the post-war period and the intensive transformation of European social democracy in the 1990s pushed social democratic politicians and intellectuals into the front line of advocates of a unified and powerful Europe. They contributed to the inclusion of social democratic and environmentalist values in the EU’s official narrative. The success of European integration and George W. Bush’s presidency created the narrative of the Promethean role of Europe. Scholars with a social democratic or environmentalist background created this narrative and it was also shaped by authors’ national contexts.     

非期望产出下我国能源消耗产出效率差异研究

提高能源消耗产出效率是新常态下经济发展的必然趋势，随机扰动和外部环境是研究能源消耗产出效率不可回避的问题，而传统的DEA模型无法剔除非期望产出对效率值的影响。本文通过构建四阶段Bootstrap-DEA-Malmquist模型，采用1990~2014年的省际面板数据作为样本数据，通过松弛指标调整能源投入，剔除外部环境和随机因素对能源效率和能源全要素生产率的扰动，并借助Bootstrap随机抽样法进一步减小由于样本差异造成的影响，从静态和动态两个维度测算了中国能源消耗产出效率和全要素生产率。研究发现，外部环境和随机扰动对能源效率的估算具有显著影响，剔除外部环境影响因素后得到的能源效率值、技术效率变化以及全要素生产率变动均有不同程度的下降，而调整初始投入后的技术进步值有所上升。此外，考虑环境因素时，能源效率值下降，但是进一步运用Bootstrap随机抽样法消除随机因素的影响后，能源效率值有所上升。本文的主要贡献在于将环境因素和随机因素从能源效率与能源全要素生产率的测算中剥离，获得更为准确的能源效率值和能源全要素生产率值。     

Simultaneous estimation and inference for multiple response variables

Multivariate data arise frequently in biomedical and health studies where multiple response variables are collected across subjects. Unlike a univariate procedure fitting each response separately, a multivariate regression model provides a unique opportunity in studying the joint evolution of various response variables. In this paper, we propose two estimation procedures that improve estimation efficiency for the regression parameter by accommodating correlations among the response variables. The proposed procedures do not require knowledge of the true correlation structure nor does it estimate the parameters associated with the correlation. Theoretical and simulation results confirm that the proposed estimators are more efficient than the one obtained from the univariate approach. We further propose simple and powerful inference procedures for a goodness-of-fit test that possess the chi-squared asymptotic properties. Extensive simulation studies suggest that the proposed tests are more powerful than the Wald test based on the univariate procedure. The proposed methods are also illustrated through the mother’s stress and children’s morbidity study.     

Optional randomized response techniques for quantitative characteristics

Gupta et al. and Huang considered optional randomized response techniques where the probability of choosing the randomized (or direct) response is fixed for all the respondents. In this paper the assumption of the constant probability of choosing the option has been relaxed by dividing respondents into two groups: one group provides direct response and the second a randomized response. The method of estimation of the population mean and variances under the modified assumption are obtained. Relative efficiencies of the proposed techniques are compared theoretically and empirically.     

产品服务供应链的“双重收益共享”合作机制

产品与服务融合缓解了"供需错位"矛盾，使得产品服务供应链探索成为"供给侧结构性改革"下供需结构性匹配的重要路径。本文刻画产品服务视角下供应链组织结构的本质特征，构建产品服务供应链合作模型，探讨合作机制下"帕累托改进"区间存在性，揭示合作机制对产品服务供应链效率的作用机理。核心研究发现：供应链多元化组织结构加剧收益分配冲突，并导致服务规模与供应链效率"倒挂"现象，而合作机制下"双重收益共享"合作模型能提升产品服务供应链效率。     

New two-stage sampling designs based on neoteric ranked set sampling

Neoteric ranked set sampling (NRSS) is a recently developed sampling plan, derived from the well-known ranked set sampling (RSS) scheme. It has already been proved that NRSS provides more efficient estimators for population mean and variance compared to RSS and other sampling designs based on ranked sets. In this work, we propose and evaluate the performance of some two-stage sampling designs based on NRSS. Five different sampling schemes are proposed. Through an extensive Monte Carlo simulation study, we verified that all proposed sampling designs outperform RSS, NRSS, and the original double RSS design, producing estimators for the population mean with a lower mean square error. Furthermore, as with NRSS, two-stage NRSS estimators present some bias for asymmetric distributions. We complement the study with a discussion on the relative performance of the proposed estimators. Moreover, an additional simulation based on data of the diameter and height of pine trees is presented.