在AidData的地理空间全球中国发展融资数据集中
Seth Goodman1, Sheng Zhang2, Ammar A Malik2
1AidData, William & Mary, Williamsburg, Virginia, USA. sgoodman@aiddata.wm.edu.
Scientific data
|June 11, 2024
概括
援助数据 援助数据
科学领域:
- 发展融资 发展融资
- 地理空间分析的研究.
- 国际关系 国际关系
背景情况:
- 援助数据的全球中国发展融资数据集 (版本3.0) 追踪了165个国家的20,000多个项目.
- 中国的发展融资是一个重要的全球经济力量.
- 了解这些项目的空间分布至关重要.
研究的目的:
- 引入一种用于识别中国开发项目的地理空间特征的新方法.
- 创建一个中国发展融资的地理位置数据集.
- 提高发展融资研究的透明度和可复制性.
主要方法:
- 开发并应用一个地理空间特征识别方法.
- 作为主要数据来源,使用了AidData的全球中国发展融资数据集 (3.0版本).
- 地理编码了超过9405个项目,详细介绍了道路,铁路和发电厂等特定基础设施.
主要成果:
- 推出了地理空间全球中国发展融资数据集 (3.0版本).
- 捕获了148个国家的9,405个项目的地理空间特征,总额超过83000亿美元.
- 精确地地理编码了6266个项目,并确定了其他3139个项目的行政位置.
结论:
- 开发的方法有效地识别和地理定位开发项目.
- 新的数据集为中国发展融资提供了前所未有的空间洞察力.
- 公开发布方法,数据集和代码促进了进一步的研究和问责制.
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