Digging deeper: Unpacking the subnational political drivers of Chinese extractive investment in Latin America

IF 3.6 2区 社会学 Q2 ENVIRONMENTAL STUDIES
Agustina Giraudy , Francisco Urdinez , Andrea Freites
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引用次数: 0

Abstract

There is a long scholarly tradition that argues that political variables figure prominently in international corporations’ decisions to invest abroad. Most of this literature has focused on the national political determinants of investment allocation. Yet, in some sectors, the bulk of this investment is local. Chief among these sectors are extractive industries where assets are endowed to different local jurisdictions. How do political factors shape extractive foreign direct investment (EFDI) in local jurisdictions? We focus on Latin America, a region of the world that is rich in natural resources, and that has recently attracted a sizable amount of Chinese investment. Drawing on a novel dataset on subnational Chinese EFDI in Argentina, Brazil, and Mexico (2002–2018), and using a logistic model with time series cross-national data we find that multilevel partisan alignment is a strong determinant of Chinese EFDI. In highly decentralized countries, Chinese EFDI is primarily targeted to subnational districts ruled by governors who are politically aligned with presidents. We illustrate the logics of this allocation with two case studies. Our findings make a valuable contribution to three growing fields of study: the subnational determinants of foreign investments, multilevel governance, and the political factors driving Chinese investments in developing countries.
深入挖掘:解读中国在拉美采掘投资的次国家政治驱动因素
长期以来,学术界一直认为,政治变量在国际公司的海外投资决策中占据重要地位。这些文献大多侧重于投资分配的国家政治决定因素。然而,在某些行业,大部分投资是在当地进行的。这些行业中最主要的是采掘业,其资产被赋予了不同的地方管辖权。政治因素是如何影响当地司法管辖区的采掘业外国直接投资(EFDI)的?我们将重点放在拉丁美洲,该地区自然资源丰富,最近吸引了大量中国投资。我们利用阿根廷、巴西和墨西哥国家以下各级中国对外直接投资的新数据集(2002-2018 年),并使用带有时间序列跨国数据的逻辑模型,发现多层次党派联盟是中国对外直接投资的有力决定因素。在高度分权的国家,中国的外商直接投资主要投向由与总统在政治上保持一致的省长所统治的国家以下各级地区。我们通过两个案例研究说明了这种分配的逻辑。我们的研究结果为三个不断发展的研究领域做出了宝贵贡献:外国投资的国家以下各级决定因素、多层次治理以及推动中国在发展中国家投资的政治因素。
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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来源期刊
CiteScore
6.60
自引率
19.40%
发文量
135
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