江西省经济财政债务数据
收藏北京国际大数据交易所2024-10-15 收录
下载链接:
https://webs.bjidex.com/sys-bsc-home/#/bscConsole/tradingMarket/detail?id=2966
下载链接
链接失效反馈官方服务:
资源简介:
本数据产品依托明树基建投融资大数据库和自主研发的低代码平台,利用政府公开网站如江西省人民政府、财政厅、统计局等公布的财政决算报告、财政预算执行报告、财政预算报告、统计公报、统计年鉴等公开披露文件进行合法合规的人工采集,已投入团队20人,耗费3年的时间使用自主研发的系统和数据中台进行数据清洗、处理、分析和加工形成结构化数据,人工采集重点字段如:财政预算收支、政府性基金收支、国营资本收支、社会保险收支、政府债务余额、政府债务限额等字段,并逐期进行动态更新,在保证数据隐私安全及合法合规的基础上,运用灵活多变的模型算法构建数据场景,搭建区域经济指标浏览器、区域对比工具、区域GDP榜单、区域债务预警等模块专题,通过自定义数据指标模板实现灵活配置指标组合、不同维度的数据抓取及数据碰撞检验,生成完整真实公正的数据集、数据报告等结果。
This data product is developed based on the MingShu Infrastructure Investment and Financing Big Database and a self-developed low-code platform. It legally and compliantly conducts manual data collection by leveraging publicly disclosed documents released on official government websites including the People's Government of Jiangxi Province, Jiangxi Provincial Department of Finance, and Jiangxi Provincial Bureau of Statistics, such as financial final accounts reports, fiscal budget implementation reports, fiscal budget reports, statistical communiqués, and statistical yearbooks. A team of 20 personnel has dedicated three years to data cleaning, processing, analysis, and structuring using self-developed systems and a data middle platform to generate structured data. Key manually collected fields include fiscal budget revenue and expenditure, government-managed fund revenue and expenditure, state-owned capital revenue and expenditure, social insurance fund revenue and expenditure, government debt balance, and government debt ceiling, with dynamic updates implemented on a periodic basis. With the guarantee of data privacy, security, and legal compliance, flexible and diverse model algorithms are adopted to construct data scenarios, and special modules such as the Regional Economic Indicator Browser, Regional Comparison Tool, Regional GDP Ranking, and Regional Debt Early Warning System are developed. By customizing data indicator templates, flexible configuration of indicator combinations, data crawling across multiple dimensions, and data collision verification are realized, ultimately generating complete, authentic, impartial datasets, data reports, and other relevant outcomes.
提供机构:
北京明树数据科技有限公司
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集基于江西省官方公开文件,经专业团队历时三年采集加工,形成包含财政收支、政府债务等关键指标的结构化数据,支持动态更新和多维分析。数据集通过智能算法实现区域经济对比、债务预警等专题应用,确保数据真实性和分析灵活性。
以上内容由遇见数据集搜集并总结生成



