Matching Items (6,723)
Filtering by

Clear all filters

157083-Thumbnail Image.png
Description摘要

当前中国农村集体经济呈现出后劲不足、区域失衡等问题。在此背景下,如何破解集体经济发展困境、实现其从梯度到均衡的演进成为学术领域关注的热点。本文梳理总结了国内外集体经济的相关研究成果,阐述了主要涉及的基础概念、理论和方法模型;以2008~2015年无锡市滨湖区92个村为研究样本,分析了该区域集体经济的发展现状和演变进程;构建面板回归模型,探索了该区域集体经济发展的驱动因素与分布不平衡性;并从空间关联视角切入,探索了驱动因素的溢出效应;最后基于研究结果提出对策建议。主要结论如下:

(1)2008~2015年,92个村的村级集体经济发展整体呈现上升趋势,但地区间的贫富差距明显;2008年、2011年和2015年92个村按村级集体经济总收入可划分为高、中、低3类,并且在不同时段,各等级间的村级集体单位会相互迁移;集体经济收入呈现明显的右偏分布,尖峰厚尾的特征显著。随着时间的推移,集体经济发展出现了“双峰趋同”的现象。

(2)普通面板回归显示,物质资本、经济工作能力、科技进步对于村级集体经济发展有正向的依次减弱的影响,人口数量的影响为负;面板分位数回归显示,随着分位数水平的提高,物质资本系数先上升、后下降再上升;经济工作能力系数逐渐减小;人口规模系数先下降后上升;科技进步系数波动上升。

(3)空间计量结果显示,各变量对于村级集体经济发展具有一定的溢出效应,其中,物质资本的溢出效应为正(不显著),经济工作能力的溢出效应为正(显著),人口因素的溢出效应为负(不显著),科技进步的溢出效应为正(显著)。

本文的创新之处在于使用较难获取的2008-2015年92个村面板数据进行回归,相比于截面数据,更准确地测度了各要素对集体经济的真实影响;将空间关联因素纳入研究视域,探究了村级集体经济驱动因素的空间溢出效应。
ContributorsJin, Liang (Author) / Gu, Bin (Thesis advisor) / Zhang, Anmin (Thesis advisor) / Zhu, Qigui (Committee member) / Arizona State University (Publisher)
Created2019
157090-Thumbnail Image.png
Description摘要

在复杂多变的商业环境中,企业传统的人力资源管理已经难以应对日益频发的员工职业倦怠、人际间矛盾冲突、频繁跳槽等局面与问题。企业员工工作的价值与意义早已不再是传统的雇佣模式下,通过出卖劳动力或智力从而获得工资以实现“养家糊口”的目的那么单纯与简单,员工也希望通过辛勤的工作,以获得个体的幸福感、荣誉感与认同感等。对于现代企业的管理者而言,员工追求事业的提升、个人价值的实现,不仅体现在薪酬、福利待遇的提升,更重要的是员工个人的成长以及潜能和竞争力的提升。

随着组织行为学和心理学的不断发展与演变,与员工幸福感相关的研究备受关注。对现代企业而言,管理者借助制度设计对员工幸福积极管理,可以最大限度地发挥员工的积极性、主动性与创造性,实现员工与企业之间的利益相趋同,从而更为高效地实现组织的目标。基于此,本文以民营企业员工工作幸福感作为研究的切入点,借助理论分析、问卷调查和实证分析相结合的研究方法,系统深入地研究我国民营企业员工工作幸福感的构成、可控前因和绩效后果等问题。

本文研究发现:

第一,员工薪酬的提高有助于员工工作幸福感的提升,薪资对基层员工幸福感的影响显著高于其对高层员工幸福感的影响;

第二,完善的晋升机制对于中层员工而言更能提升其幸福感,完善的晋升机制更有利于中层员工;

第三,公平性的提高有助于提高员工工作幸福感,而且这种正效应更多体现在基层员工群体之中;

第四,高层员工更注重自我价值的实现,高层员工的工作挑战性越高,其自我实现需求获得的满足感则约高,但是对于基层员工和中层员工而言,其效果则恰恰相反,基础员工和高层员工更多地将工作挑战性和压力看作是一种负面的因素;

第五,员工幸福感的确会给企业带来正向的绩效。

本文的研究框架和实证结论不仅可以丰富学术界有关员工工作幸福感的研究,而且为企业管理者进行绩效管理以及员工工作质量的提升提供理论和实证借鉴。
ContributorsShu, Man (Author) / Shen, Wei (Thesis advisor) / Wu, Fei (Thesis advisor) / Chen, Xin (Committee member) / Arizona State University (Publisher)
Created2019
157111-Thumbnail Image.png
Description近些年来,我国城市化进程不断加快,到2020年我国常住人口城镇化率将达到60%左右,户籍人口城镇化率将会达到45%左右。伴随着我国城市化进程的高速推进以及经济水平的不断提高,公共物品及服务的需求程度加大,政府单独出资建设公共项目会导致资金不足、经营管理效率低下等问题。与此同时,我国当前不同层级地方政府的政府性债务都达到了一个非常高的水平,截至2017年末,中国地方政府债务16.47万亿元,债务率(债务余额/综合财力)为76.5%,其中地方负有偿还责任的债务约12.9万亿,地方政府性债务的控制和转化成为经济新常态下重要特征之一。在地方债务压力较大的情况下,PPP将替代土地财政和地方政府融资,为我国新型城镇化建设提供可持续的资金支持,PPP模式成为当前城市建设领域融资的重要选项。

据此,本文基于实证研究方法探讨在债务约束的背景下,在地方政府债务约束下,PPP模式的引入,对城市规划中建设用地面积、人口规划规模与容量、建设用地属性等的城市规划变量的影响;与此同时,考虑到地方政府的政策很大程度上受到是由地方官员,特别是受到作为地方政府党政“一把手”的市委书记和市长的晋升压力和激励的影响,讨论市委书记/市长的晋升压力和激励对PPP模式引入效果的影响。研究发现,在地方政府债务约束下,PPP模式的引入,显著增加城市规划中建设用地面积、人口规划规模与容量、建设用地属性等的城市规划变量;同时,地方政府官员存在利用PPP放大城市建设和规划规模的行为,反映了PPP项目在引入和使用的过程中很大程度上受政府官员的激励的影响。
ContributorsXu, Ke (Author) / Chen, Pei-Yu (Thesis advisor) / Zhu, Qigui (Thesis advisor) / Chen, Xin (Committee member) / Arizona State University (Publisher)
Created2019
149464-Thumbnail Image.png
Description
Online social networks, including Twitter, have expanded in both scale and diversity of content, which has created significant challenges to the average user. These challenges include finding relevant information on a topic and building social ties with like-minded individuals. The fundamental question addressed by this thesis is if an individual

Online social networks, including Twitter, have expanded in both scale and diversity of content, which has created significant challenges to the average user. These challenges include finding relevant information on a topic and building social ties with like-minded individuals. The fundamental question addressed by this thesis is if an individual can leverage social network to search for information that is relevant to him or her. We propose to answer this question by developing computational algorithms that analyze a user's social network. The features of the social network we analyze include the network topology and member communications of a specific user's social network. Determining the "social value" of one's contacts is a valuable outcome of this research. The algorithms we developed were tested on Twitter, which is an extremely popular social network. Twitter was chosen due to its popularity and a majority of the communications artifacts on Twitter is publically available. In this work, the social network of a user refers to the "following relationship" social network. Our algorithm is not specific to Twitter, and is applicable to other social networks, where the network topology and communications are accessible. My approaches are as follows. For a user interested in using the system, I first determine the immediate social network of the user as well as the social contacts for each person in this network. Afterwards, I establish and extend the social network for each user. For each member of the social network, their tweet data are analyzed and represented by using a word distribution. To accomplish this, I use WordNet, a popular lexical database, to determine semantic similarity between two words. My mechanism of search combines both communication distance between two users and social relationships to determine the search results. Additionally, I developed a search interface, where a user can interactively query the system. I conducted preliminary user study to evaluate the quality and utility of my method and system against several baseline methods, including the default Twitter search. The experimental results from the user study indicate that my method is able to find relevant people and identify valuable contacts in one's social circle based on the query. The proposed system outperforms baseline methods in terms of standard information retrieval metrics.
ContributorsXu, Ke (Author) / Sundaram, Hari (Thesis advisor) / Ye, Jieping (Committee member) / Kelliher, Aisling (Committee member) / Arizona State University (Publisher)
Created2010
ContributorsBach, Johann Sebastian, 1685-1750 (Composer)