摘要
价值和公共价值尽管是抽象的哲学概念,但在现实层面,政府所倡导的任何公共价值都通过一定形式得以呈现,政策文本即是其中一种,这使得采用文本挖掘技术发现公共价值成为可能。政府工作报告是社会经济发展的重要公共政策蓝本,集中体现了当地政府对各类公共价值目标的重视程度及同类公共价值的优先级排序。鉴于此,本文选取我国东、中、西部共10省2000—2013年的政府工作报告,通过计算机语言抓取公共价值词条携带的信息特征值,得出地方政府公共价值目标的客观证据,在此基础上展开探讨。研究发现,处于不同社会经济发展水平的省级政府在公共价值目标设定上有所侧重。总体而言,经济价值优先始终是我国改革开放以来最重要的公共价值目标,而政治价值对此进行有效地配合,但长期忽视生态价值所导致的不良后果已经显现,所幸当前我国政府已采取系列措施回应此类困境。
Although value and public value is an abstract philosophical concept,actually,governments advocated any public value will be expressed through words,it means that we use Text Mining technology to find public value is possible.This article selects 10 provinces’reports on the work of the government from eastern,central and western China in recent 14 years,by means of clustering analysis method,according to the feature items which carrying public value information and their weight achieve value and hierarchical agglomerative clustering,get 10 provinces’clustering results in public values dimension.Then through the weight of political,economic,social,cultural and ecological five aspects’feature items to explore their data distribution,found the first region attaches great importance to civic participation and government responsibility in the political aspect,market and economic development in economic aspect,the third region focus on the industrial structure and ecological problems,the second region falls in between the two excepts political stable value.These results confirm that local governments in different regions combined central government’s unified arrangement with their own characteristics to choose different public values.It has strong practical significance that this paper promotes public value theory and local government policy practice to be combined in China.
出处
《甘肃行政学院学报》
CSSCI
北大核心
2017年第6期31-45,共15页
Journal of Gansu Administration Institute
基金
2015年度"贵州财经大学引进人才"科研项目
关键词
公共价值
政府工作报告
文本挖掘
聚类分析
Public value
Reports on the work of government
Text mining
Cluster analysis
