产业转型背景下企业的工资激励效应分析

文章基于2012年17个省份不同类型企业的2 229份员工调查数据,运用White异方差一致协方差估计和有序Probit模型,实证分析了在产业转型的大趋势中转型企业的工资激励效应。研究结果表明,转型企业对员工进行了工资激励,国有转型企业的工资激励更为明显。在资源有限的制约下,国有转型企业采用了结构性的效率工资,重点对男性、中年、高学历、工作经验丰富及重要岗位员工给予了高报酬激励,提高了员工的积极性。工资激励、特别是对核心员工的效率工资激励对留住人才、充分调动核心员工的主观能动性至关重要,既可以帮助企业熨平发展的障碍,也能为企业的转型升级带来推动力。     

“义理先行”与“事求有据”:宋学与清代汉学之异——以道统说的成立与解构为中心

道统是南宋道学学派的核心命题之一,也是涵括各种错杂话语的叙述综合体。本文从诠释学角度切入,将道统系谱的排定和宋学对汉学的反拨对应起来,将道统成立解读为经典诠释转型的结果。论文通过讨论朱子的经典诠释法,以及阎若璩辨伪《古文尚书》对道统叙述造成的影响等问题,试图显明义理与考据在经学诠释史中地位的升降变迁,以及由此显露出的宋学与清代汉学在学术理念与经学立场上的差异。     

论生产与交往的互动作用

生产与交往是人类社会活动相辅相成的两种基本属性,社会历史进步不仅取决于生产,还取决于交往,生产与交往相互作用共同推动社会历史进步,这是马克思主义唯物史观的一个基本原理,也是后发国家跨越发展的历史观基本前提。自觉遵循生产与交往互动规律,积极选择跨越发展方式,对于实现中华民族伟大复兴的中国梦意义重大。     

经济增长、国际贸易与环境污染的关系研究

文章利用金砖国家1992-2011年的平衡面板数据,分别使用固定效应模型和两阶段GMM的方法检验了经济增长、国际贸易和环境污染间的相关关系.研究结果表明,金砖国家的经济增长与环境污染之间是呈现N型曲线关系,印度处于N型曲线的第一拐点前,中国和南非位于第一拐点和第二拐点之间,巴西和俄罗斯处于第二拐点之后.总体上金砖国家的贸易开放度的提升会加剧环境污染,由贸易活动引起的经济增长会使环境恶化;经济结构、产业结构、人口增长、能源消耗及技术进步等因素均会对污染物的排放产生影响.     

An adaptive-to-model test for partially parametric single-index models

Residual marked empirical process-based tests are commonly used in regression models. However, they suffer from data sparseness in high-dimensional space when there are many covariates. This paper has three purposes. First, we suggest a partial dimension reduction adaptive-to-model testing procedure that can be omnibus against general global alternative models although it fully use the dimension reduction structure under the null hypothesis. This feature is because that the procedure can automatically adapt to the null and alternative models, and thus greatly overcomes the dimensionality problem. Second, to achieve the above goal, we propose a ridge-type eigenvalue ratio estimate to automatically determine the number of linear combinations of the covariates under the null and alternative hypotheses. Third, a Monte-Carlo approximation to the sampling null distribution is suggested. Unlike existing bootstrap approximation methods, this gives an approximation as close to the sampling null distribution as possible by fully utilising the dimension reduction model structure under the null model. Simulation studies and real data analysis are then conducted to illustrate the performance of the new test and compare it with existing tests.     

交通基础设施对区域经济增长的空间溢出效应研究

文章利用探索性空间数据分析方法,发现2000-2014年我国区域经济发展存在显著的空间集群趋势以及正向空间自相关.利用2000年、2007年和2014年31个省份的数据,实证检验交通基础设施对区域经济增长的空间溢出效应.研究表明:资本、劳动力仍是区域经济增长的首要驱动要素,人力资本、政府支出、贸易开放度和交通基础设施发挥积极的协同作用.交通基础设施对区域经济增长的直接效应在总效应中仍占绝对优势,而传统研究未考虑空间溢出效应则将高估交通基础设施对经济增长的直接效应.     

Can the minimum living standard guarantee scheme enable the poor to escape the poverty trap in rural China?

The rural Minimum Living Standard Guarantee (Dibao) Scheme is the most important social assistance programme in rural China. However, how the rural Dibao programme affects household expenditures and whether it can enable the poor to escape the poverty trap are questions that remain largely unexplored. This study used data from the 2012 Rural Household Survey in China to investigate the impact of the rural Dibao programme on household expenditures. We found that the programme significantly improved the well‐being of low‐income households. Particularly, the programme significantly increased household expenditures on housing, education and health; furthermore, the impact was greater for households with educated household heads. However, the programme did not significantly affect household expenditures on food, transportation or farming inputs. The results imply that participation in the rural Dibao programme induces household investment in human capital, which could help to break the inter‐generational transmission of poverty and raise long‐run welfare.     

Family Relationships,Social Connections,and Depressive Symptoms Among Chinese Older Adults in International Migrant Families

This study explored whether and how family relationships and social connections influence depressive symptoms of older migrants and older adults in transnational families using the data gathered from a cross-sectional survey in Los Angeles, California, United States, and Beijing, China. Regression results showed that the older migrants reported significantly higher levels of depression than the elders in transnational families. The findings highlight the importance of maintaining close family relations and having large friendship networks for older adults in international migrant families.     

Variable selection in partially linear additive models for modal regression

Based on B-spline basis functions and smoothly clipped absolute deviation (SCAD) penalty, we present a new estimation and variable selection procedure based on modal regression for partially linear additive models. The outstanding merit of the new method is that it is robust against outliers or heavy-tail error distributions and performs no worse than the least-square-based estimation for normal error case. The main difference is that the standard quadratic loss is replaced by a kernel function depending on a bandwidth that can be automatically selected based on the observed data. With appropriate selection of the regularization parameters, the new method possesses the consistency in variable selection and oracle property in estimation. Finally, both simulation study and real data analysis are performed to examine the performance of our approach.