Empirical Analyses of Emerging Donors in Development Cooperation

我们的项目打算通过调查发展合作领域的新兴行为者提供的发展资金的分配和效力，为经验性援助文献作出贡献。拟议的研究议程旨在分析新兴捐赠者提供的援助与西方捐赠者现有群体相比在分配和有效性方面的差异。在第一个供资时期(2015-2018年)，我们应对了缺乏关于非经合组织双边援助以及非国家援助的数据构成的挑战，并在分析新兴捐助方方面取得了重大进展。我们的重点是建立数据集以及分析援助分配和援助的增长影响。新的项目提案建立在第一个项目期间创建的地理编码数据集的基础上，并对其进行了改进。它侧重于在经合组织以外运作的捐助国政府日益增加的双边活动，以及特别是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实施者的兴趣与日俱增，但他们将如何影响全球消除贫困的努力仍存在很大不确定性。尽管这些行为者在发展融资中的重要性与日俱增，但这种类型的援助在以前的文献中没有得到太多关注。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。该项目采用比较办法，评估这种类型的外援是否以及如何补充或对比传统的发展融资。此外，我们试图通过超越平均收入影响来扩大对援助收据影响的分析范围。我们的研究项目旨在从三个重要维度对文献进行扩展。首先，在我们以前研究的基础上，我们计划继续构建新的更好的数据，以在详细的水平上解决关于新出现的援助流动的数据稀缺问题。其次，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，重点分析新出现的援助。与国家一级的传统分析相比，这将大大提高统计能力。第三，我们希望通过使用更微妙的人类福祉和行为决定因素，为越来越多的文献做出贡献，这些文献超越了对GDP的分析来衡量经济发展。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维性质。

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.