高职院校“双师结构”教学团队的类型及建设重点研究

建设高职院校“双师结构”教学团队对于深化职业教育的综合改革具有重要的意义。结合我国职业教育的性质与特点,“双师结构”教学团队的类型可分为以下三类：校内专业教师与校外兼职教师结合的“双师结构”教学团队;基础课教师与专业课教师结合的“双师结构”教学团队;专业课教师与思政教师结合的“双师结构”教学团队。教学团队的建设要注重科学性与规律性,不同的发展阶段,要把握不同的建设重点。“双师结构”教学团队的建设过程可分为“孵化期、形成期、成熟期、稳定期”四个阶段,对不同阶段的建设重点进行了研究,为我国高职院校教学团队的建设提供参考与借鉴。     

信访制度下村干部的多重身份和生成逻辑

村干部因直接接触上访群体和落实信访政策而成为信访研究热点。多数研究文献对村干部的定位是上访事件筛选者,忽视了村干部在信访制度中的多重身份。在转型时期的信访制度下,村干部不仅是沟通“国家—社会”的双向代理人:既协助国家维持基层稳定又嵌入乡村社会关系网络中;而且可能成为上访制造者:或因侵害村民合法利益使自己成为信访事由,或因治理需求和私利驱动参与村民上访。这些都表现出信访场域中村干部的身份的复杂性,其生成与“国家—社会”的结构夹缝、信访制度的刚性和资源下乡的拐点密不可分,分析这三重逻辑有助于全面理解基层官员与制度运作之间的互动和乡村治理权力再生产的过程。     

新形势下促进农民增收的政策选择

近几年我国农民收入增长困难存在着制约性因素,本文针对存在问题提出了“十一五”期间促进农民增收的对策建议,以实现我国农村经济以及整个国民经济的快速发展。     

双循环驱动我国城市产业转移效应研究

基于201个城市的相关数据,利用动态面板模型和空间杜宾模型,实证分析了内循环、外循环和双循环对产业转移的影响。研究结果表明：前期产业转移在一定程度上会影响后期产业转移,前一期当地产业比例较大,其后产业转移受到的促进作用也较大;内循环、外循环和双循环均对产业转移起到显著的正向促进作用,东部城市受到的促进作用略高于中西部城市;要素流动在产业转移中发挥着重要作用,劳动力要素流动、技术要素流动和资本要素流动不仅受到内、外循环和双循环的促进作用,同时对产业转移也起到一定的促进作用;产业转移具有空间相关性,产业在空间上倾向于向产业转入较高的城区转移。为此,我国在政策上应进一步加快推动内循环,促进外循环,关注要素流动在产业转移中的重要作用,合理分配要素资源。     

"二元制"财务机构设置的理论与实践分析

管理学关于管理职能的理论是财务机构设置的理论基础,在对该理论阐述的基础详细地分析了会计属于企业的服务子系统,而财务属于企业的支持子系统,作为企业服务子系统的会计和作为支持子系统的财务有其各自的职能领域,所以应该在实践中将其有效地分开,即财务机构必须进行二元制的设置,并通过东西方企业实际情况的对比和所进行的社会调查,提出在市场经济环境下,财务与会计机构分设的二元制结构是当前我国大中型企业必然的选择,并且进一步提出了财务部门和会计部门各自的职责权限。     

预备立宪时期清政府的政体选择

预备立宪时期,在一部分官僚立宪派的推动下,清政府起初选择了日本式的二元君主制度政体,但后来由于形势的变化不得不向议会君主制政体转轨.就当时中国的情形而言,选择二元君主制政体有其历史的合理性.而议会君主制政体尽管是西方长期以来一种行之有效的制度设计,但对当时的中国而言却很难说是最佳的政体选择.     

Dual conditionality in welfare and housing for lone parents in Ireland: Change and continuity?

This article focuses on multiple conditionalities in benefits and housing from the perspective of lone parents in Ireland. The Irish case echoes historical experiences elsewhere and is offered not as an exceptional or extreme case but as an in-depth single case study and a lens for comparison. Although contemporary forms and combinations of conditionalities are new to Ireland, the experience of multiple conditionalities in benefits and housing is not new. Hence, a historical perspective is used to examine contemporary multiple conditionalities in benefits and housing. In the past, conditional regimes for lone parents were justified in terms of moral reformation for first time mothers and avoiding moral contagion of mothers with subsequent pregnancies. In contemporary times, in the case of employment, lone parents are problematised as working part-time and “nesting” on in-work-benefits, and in the case of homelessness, lone parents who prioritise the security of tenure embedded in social housing are accused of “gaming” the system. While acknowledging ambiguities, the paper finds the overlap of welfare and housing discourses contribute, intentionally or unintentionally, to epistemological foundations or understandings of lone parents, shifting public perceptions, and framing them as “problems” to be solved. They simultaneously temper lone parents' expectations. Increased precarity and disempowerment is associated with dual conditionality, and ontological uncertainty is multiplied when experienced cumulatively across employment, social protection, and housing regimes in a context of generally poor public services and labour market precarity and in the historical context of stigmatisation. Nonetheless, lone parents demonstrate considerable agency.     

零售商双渠道供应链定价及协调研究

研究了零售商双渠道供应链的定价策略和协调问题,建立制造商和零售商两方博弈模型,分析了集中决策和分散决策两种情境下的定价决策均衡解,并设计收入共享契约来解决零售商双渠道存在的双重边际化效应。结果表明,零售商需要提供合理的收入分配比例才能实现供应链各成员利润的Pareto改进,并最终协调整个双渠道供应链。在双渠道竞争环境下,线上线下不能采取完全同价策略,企业应针对不同渠道的具体情况制定不同的销售价格。     

“双碳”目标下农业生态效率测度及影响因素分析

农业生态效率是农业经济和生态环保协调发展的重要体现。文章首先引入农业碳汇效应,构建农业生态效率测度指标体系;其次,基于2010—2019年中国31个省市面板数据,运用熵权法改进的超效率SBM测算各地区农业生态效率;然后运用面板Tobit模型探究农业生态效率影响因素。结果发现：2010—2019年中国农业生态效率总体呈现平稳上升态势,空间上呈现东北地区最高、东部次之、西部较低、中部最低的分布格局;财政支农程度、工业化程度、农业自然环境、农业机械密度对农业生态效率产生负向影响;农业环境规制、科技支持力度、农业资源禀赋、农业人力资本和农业生产能力对农业生态效率产生正向影响。最后,提出合理投入农业要素资源;促进农业生产增长;加大农业科技研发和推广力度;提高农业劳动力素质等建议。     

A primal dual active set with continuation algorithm for high-dimensional nonconvex SICA-penalized regression

The smooth integration of counting and absolute deviation (SICA) penalty has been demonstrated theoretically and practically to be effective in nonconvex penalization for variable selection and parameter estimation. However, solving the nonconvex optimization problem associated with SICA penalty in high-dimensional setting remains to be enriched, mainly due to the singularity at the origin and the nonconvexity of the SICA penalty function. In this paper, we develop a fast primal dual active set (PDAS) with continuation algorithm for solving the nonconvex SICA-penalized least squares in high dimensions. Upon introducing the dual variable, the PDAS algorithm iteratively identify and update the active set in the optimization using both the primal and dual information, and then solve a low-dimensional least square problem on the active set. When combined with a continuation strategy and a high-dimensional Bayesian information criterion (BIC) selector on the tuning parameters, the proposed algorithm is very efficient and accurate. Extensive simulation studies and analysis of a high-dimensional microarray gene expression data are presented to illustrate the performance of the proposed method.