Empirical Analyses of Emerging Donors in Development Cooperation

我们的项目旨在通过调查发展合作领域新兴行为体提供的发展资金的分配和有效性，为实证援助文献作出贡献。拟议的研究议程旨在分析新兴捐助国与西方捐助国集团相比在援助分配和实效方面的差异。在第一个资助期（2015-2018年），我们应对了非经合组织双边援助和非国家援助数据匮乏带来的挑战，并在分析新兴捐助方方面取得了重大进展。我们的重点是数据集的建立和援助分配及援助对增长的影响的分析，新的项目提案以第一个项目期间建立的地理编码数据集为基础，并加以加强。它着重于经合组织以外的捐助国政府日益增加的双边活动，以及私人资本和公司的参与。尽管学术界对非经合组织捐助者和执行者的兴趣日益增加，但它们将如何影响全球消除贫困的努力仍存在很大的不确定性。尽管这些行为体在发展筹资中的重要性日益增加，但这类援助在以前的文献中并没有得到太多的关注。更准确地说，我们的分析将集中在中国、印度和从世界银行国际金融公司（IFC）贷款的公司。该项目采用比较方法，评估这类外国援助是否以及如何补充或对比传统的发展融资。此外，我们力求扩大对接受援助的影响的分析范围，超越平均收入影响。我们的研究项目旨在从三个重要方面扩展文献。首先，在我们以前研究的基础上，我们计划继续构建新的和更好的数据，以解决有关新出现的援助流动的详细数据不足的问题。第二，我们打算利用地理编码数据、遥感数据和空间计量经济学方法，侧重于对新兴援助进行国家以下一级的分析。与国家一级的传统分析相比，这将大大提高统计能力。第三，我们希望通过使用人类福祉和行为的更细微的决定因素，为越来越多的超越GDP分析的文献做出贡献。特别是，我们试图通过分析援助对健康，移民和公众满意度的影响来解决一个国家繁荣的多层面性质。

Our project intends to contribute to the empirical aid literature by investigating the allocation and effectiveness of development finance provided by emerging actors in the field of development cooperation. The proposed research agenda aims to analyze the differences in the allocation and effectiveness of aid given by emerging donors compared to the established group of Western donors. In the first funding period (2015-2018), we have taken up the challenge posed by the scarcity of data on non-OECD bilateral aid as well as non-state aid and made significant progress in the analysis of emerging donors. Our focus was on data set construction and the analysis of aid allocation and growth effects of aid.The new project proposal builds on and enhances the geocoded data sets created during the first project period. It focuses on the increasing bilateral activities of donor governments operating outside the OECD as well as the involvement of private capital and corporations in particular. Despite increasing academic interest in non-OECD donors and implementers, there is still much uncertainty on how they will affect the global effort to eliminate poverty. Notwithstanding a growing importance of these actors in development finance, this type of aid has not received much attention in the previous literature. More precisely, our analyses will focus on China, India and companies that lend from the World Bank’s International Finance Corporation (IFC). The project follows a comparative approach evaluating whether and how this type of foreign aid complements or contrasts traditional development finance. In addition, we seek to broaden the scope of analysis on the effects of aid receipts by going beyond average income effects. Our research project aims to extend the literature in three important dimensions. First, building on our previous research, we plan to continue to construct new and better data to address data scarcity on emerging aid flows at a detailed level. Second, we intend to focus on the subnational analysis of emerging aid using geocoded data, remote-sensing data, and spatial econometrics methods. This will substantially increase statistical power compared to conventional analyses at the national level. Third, we want to contribute to the growing literature that moves beyond the analysis of GDP to measure economic development, by using more nuanced determinants of human well-being and behavior. In particular, we seek to address the multidimensional nature of a nation’s prosperity, by analyzing the effects of aid on health, migration, and public satisfaction.