房价波动、银行信贷与产业升级——基于银行信贷中介效应检验及区域差异对比分析

房价波动是影响产业升级的重要因素。阐述房价暴涨通过银行信贷中介效应传导机制对产业升级产生抑制作用,并基于全国大中城市2007-2016年面板数据,采用动态面板模型系统GMM估计法检验房价波动通过银行信贷中介效应机制影响产业升级。研究结果表明:第一,大中城市的房价过快上涨对产业升级产生负效应;第二,大中城市的房价过快上涨会增加房地产银行信贷需求,挤出了支持技术创新、产业升级的银行资金,从而抑制产业升级;第三,通过区域差异对比分析,东部大中城市银行信贷对房价波动与高新产业关系发挥中介效应,房价上涨通过吸收银行信贷挤出高新产业发展资金;中部大中城市房价上涨通过吸收银行信贷挤出第三产业发展资金;银行信贷没有对西部城市的房价波动与产业升级发挥中介效应。     

论公民环境教育的目标共生

公民环境教育的目标问题是有关环境教育研究领域的一个重要方向。全面而系统的公民环境教育目标谱系应该包含知识、技能、意识、伦理、行为、评价与建议以及意愿等七个维度。而七个维度目标之间的互利共生是公民环境教育层次提升、效果提高的必由之路。     

环境管制、知识产权保护与区域创新能力——基于我国省际面板数据的实证研究

文章基于政府主导视角,利用2006—2015年我国30个省级面板数据,构建多元回归模型,分析变量之间的关系.其结果显示,环境管制、知识产权保护与区域创新能力之间呈非线性关系,环境管制与知识产权保护同时实施对区域创新能力有显著的促进作用,且具有区域异质性.从企业生存角度出发,提出门槛效应假说,采用Hansen面板门槛回归模型进行检验.结果表明,在环境管制与知识产权保护共同发挥作用时,环境管制必须控制在合理的范围内.最后采用门槛效应回归方法找到了环境管制与知识产权保护对区域创新能力影响的门槛值,并提出相应的政策建议.     

扁平超宽连续箱梁桥空间受力性能分析与研究

扁平超宽箱梁桥由于具有较大的宽跨比，其受力性能呈现明显的空间效应，通常的单梁模型计算已不能满足设计的精度要求，主要体现在宽箱梁各腹板纵向受力的差异性以及明显的剪力滞效应，同时由于大宽跨比使得横向预应力的作用不仅增加了顶板的压应力，也使得整体箱梁截面下缘出现拉应力，造成边腹板底部纵向裂缝，这些都给宽箱梁的设计带来了不利。因此为研究宽箱梁的空间效应，本文运用ANSYS有限元软件建立了全桥实体模型，计算了各腹板纵向受力差异及剪力滞效应，以及横向预应力对箱梁横向受力的影响，得到了一些有益的结论，为设计人员提供一定的参考。     

吉林省廉租房政策实施效果、存在问题及对策

立足于吉林省廉租房政策实施效果的全面调查数据,概述了吉林省廉租房政策实施效果,以独特的视角深入分析了廉租房政策推行过程中出现的一些亟需解决的共性问题,提出了针对性的解决对策。     

Beyond interviewer effects in the standardized measurement of ego-centric networks

The effects which interviewers exert on the collection of ego-centric networks have recently come into the focus of methodological considerations. Studies consistently show that the size of networks varies depending on the interviewer. We would like to expand on this research strand by pointing to different aspects which have so far gone unremarked in the discussion. First, size is mainly analysed as a network measure which is influenced during data collection, while other common measures such as network density or composition have not received sufficient consideration. Second, large-scale surveys using face-to-face interviews usually allocate interviewers to a single sampling point. Differences between sampling points (locality effects) are attributed to interviewer effects. Hence, we disentangle the effects of the locality and interviewer. Third, the discussion on interviewer effects often follows an “actor-oriented” consideration of how data collection situations are structured by interviewers. Expanding this approach from a relational perspective, we consider the relationship between the interviewers and respondents and whether this relationship influences the collection of network data. To test our hypotheses about the influence of interviewers, the locality and the interviewer-respondent relationship on different network measures, we use data from the 2010 German General Social Survey (n = 2827 respondents, n = 220 interviewers). The multilevel analyses show that the relationship between the interviewer and the respondent is not very relevant. Furthermore, the analyses show that interviewers have an influence on the network size but not on measures of their composition. However, evidence on the prevalence of locality or interviewer effects is mixed. Finally, homophilous interviewer-respondent relationships have very little effect on network characteristics. We find evidence of training and fatigue effects on network size. However, much of the variation in network size caused by the interviewer still remains unexplained. We draw conclusions on how to organize interview situations in surveys.