遇见数据集

GTI Global Public Procurement Database (GPPD) 2/2

收藏
Mendeley Data2026-04-09 收录
官方服务:

资源简介:

The data introduces a global public procurement procedures database. Using various web scraping methods, we collected and harmonized public procurement procedures from 25 countries between 2011-2021. The year ranges vary by country depending on data availability from the collected sources. Due to the diversity of data publishing formats in each country, we standardized the published information to fit a common data standard. For each country, key information regarding the main buyers and suppliers, organization’s geolocation information (such as NUTS codes when available), product information (CPV 2008 codes when available), price information (in local currencies and also adjusted based on the purchasing power parity), details of the contracting process (e.g. contract award date or the procedure followed). The database is best described as a contract-level dataset where specific filters are added to reduce the dataset to the successfully awarded contracts if needed. We also add several corruption risk indicators and a composite corruption risk index for each contract which allows for an objective assessment and comparison across time, organizations or countries. The data can be reused to answer various research questions dealing with public procurement structural spending. The availability of organizational identification codes or by matching based on the organization's name allows to connect the data to company registries to study broader topics such as ownership networks.

本数据集介绍了一套全球公共采购流程数据库。我们采用多种网页抓取(web scraping)技术,收集并整合了2011年至2021年间25个国家的公共采购流程相关数据。不同国家的数据覆盖年限因各自数据源的可获取性差异而有所不同。鉴于各国数据发布格式存在显著差异,我们将采集到的各类公开信息标准化为统一的数据规范。针对每个国家,数据库收录了采购主体与供应商的核心信息、机构的地理位置信息(若有则提供NUTS编码(NUTS))、产品相关信息(若有则提供CPV 2008编码(CPV 2008))、价格信息(以当地货币计价,并基于购买力平价进行调整),以及合同签约流程的详细细节,例如合同授予日期或所采用的采购流程类型。该数据库本质为合同级数据集,若有需要,可通过特定筛选条件将数据集筛选为仅包含已成功授予的合同。我们还为每份合同增设了多项腐败风险指标及综合腐败风险指数,可用于跨时间、机构或国家的客观评估与对比。本数据集可被复用,以回答各类围绕公共采购结构性支出的研究问题。通过机构识别编码或基于机构名称进行匹配,可将本数据集与企业登记库关联,进而研究所有权网络等更广泛的学术议题。

二维码
社区交流群
二维码
科研交流群
商业服务