Measuring Borrowing Portfolios and Group Strength

Jonas B. Bunte
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Abstract

This chapter describes how data for the statistical analysis were obtained. First, the dependent variable captures countries’ borrowing portfolios, that is, the share of loans obtained from a particular type of creditor. The main difficulty lies in obtaining reliable data on loan inflows from emerging creditors, such as China. In contrast to existing approaches focused on loan outflows from China, this book instead collects information on the loan inflows as recorded in the budgets of recipient countries. Second, the key independent variable is the type of societal coalition. The relative political strength of Labor, Industry, and Finance determines which type of coalition is present. However, their relative political influence cannot be observed directly. The chapter describes how proxies were derived by combining information about the groups’ ability to overcome collective action problems with their importance to the domestic economy.
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衡量借款组合和集团实力
介绍统计分析数据的获取过程。首先,因变量捕获各国的借款组合,即从特定类型的债权人获得的贷款份额。主要困难在于获取来自新兴债权国(如中国)的贷款流入的可靠数据。与关注中国贷款流出的现有方法不同,这本书收集了受援国预算中记录的贷款流入信息。第二,关键的自变量是社会联盟的类型。工党、工业和财政的相对政治实力决定了哪种类型的联盟存在。然而,它们的相对政治影响无法直接观察到。这一章描述了代理是如何通过将有关这些团体克服集体行动问题的能力及其对国内经济的重要性的信息结合起来得出的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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How Governments Choose Their Creditors Explaining Variation in Borrowing Portfolios Measuring Borrowing Portfolios and Group Strength Tracing the Process of Borrowing with Fieldwork Governments’ Borrowing Decisions across the Developing World
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