GTI Global Public Procurement Dataset (GPPD) 1/2

The data introduces a global public procurement procedures database. Using various web scraping methods, we collected and harmonized public procurement procedures from 42 countries between 2006-2021. 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.本数据集为一套全球公共采购流程数据库。我们采用多种网络爬虫技术，采集并整合规范了2006至2021年间42个国家的公共采购流程数据；各国的有效数据年份范围因公开数据源的可得性不同而存在差异。鉴于各国数据发布格式存在多样性，我们将采集到的公开信息标准化为统一的数据标准。数据集涵盖各国家的以下关键信息：主要采购方与供应商的核心信息、机构的地理位置信息（若可用则提供NUTS编码（NUTS codes））、产品信息（若可用则提供CPV 2008编码（CPV 2008 codes））、价格信息（以当地货币计价，并基于购买力平价（Purchasing Power Parity, PPP）进行调整），以及采购签约流程的详细细节（例如合同授予日期或所采用的采购程序类型）。该数据库本质上属于合同级数据集，可根据需求添加特定筛选条件，仅保留成功授予的合同。此外，我们还为每份合同增设了多项腐败风险指标与综合腐败风险指数，可用于跨时间、跨机构或跨国别的客观评估与比较。本数据集可被复用，以解答各类涉及公共采购结构支出的研究问题。通过机构识别码或基于机构名称的匹配，可将该数据集与企业登记数据库关联，进而开展所有权网络等更广泛主题的研究。