资源型产业并购的决定因素:环境可持续性的作用?

IF 0.7 Q3 ECONOMICS
R. León-González, L. Tole
{"title":"资源型产业并购的决定因素:环境可持续性的作用?","authors":"R. León-González, L. Tole","doi":"10.15353/rea.v7i2.1417","DOIUrl":null,"url":null,"abstract":"This paper examines the relationship between environmental stringency and mergers and acquisitions (M&A) activity in a highly polluting, resource-based industry. Specifically, it seeks to determine whether buyers are targeting countries with the same or different levels of environmental stringency than in their own country, i.e. whether pollution havens exist in the global mining industry. Rather than aggregate investment, which has been used by most previous studies, we analyze a dataset of individual investment choices. We model the choice of country and the amount invested jointly as the two variables are likely to be correlated. The choice of country is modeled using a random parameters multinomial Logit model. We use a hitherto unanalyzed data set of the value paid for all completed M&A in the mining industry worldwide between 1994 and 2006. We find no evidence of pollution havens in this industry. If anything, buyers from countries with high levels of environmental stringency are more likely to invest in countries with a similar level of environmental stringency and make larger investments in them than in less environmentally stringent countries.","PeriodicalId":42350,"journal":{"name":"Review of Economic Analysis","volume":"1 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"The Determinants of Mergers & Acquisitions in a Resource-Based Industry: What Role for Environmental Sustainability?\",\"authors\":\"R. León-González, L. Tole\",\"doi\":\"10.15353/rea.v7i2.1417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines the relationship between environmental stringency and mergers and acquisitions (M&A) activity in a highly polluting, resource-based industry. Specifically, it seeks to determine whether buyers are targeting countries with the same or different levels of environmental stringency than in their own country, i.e. whether pollution havens exist in the global mining industry. Rather than aggregate investment, which has been used by most previous studies, we analyze a dataset of individual investment choices. We model the choice of country and the amount invested jointly as the two variables are likely to be correlated. The choice of country is modeled using a random parameters multinomial Logit model. We use a hitherto unanalyzed data set of the value paid for all completed M&A in the mining industry worldwide between 1994 and 2006. We find no evidence of pollution havens in this industry. If anything, buyers from countries with high levels of environmental stringency are more likely to invest in countries with a similar level of environmental stringency and make larger investments in them than in less environmentally stringent countries.\",\"PeriodicalId\":42350,\"journal\":{\"name\":\"Review of Economic Analysis\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2016-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Review of Economic Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15353/rea.v7i2.1417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Economic Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15353/rea.v7i2.1417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 8

摘要

本文研究了高污染资源型产业中环境严格程度与并购活动之间的关系。具体来说,它试图确定买家的目标是与本国环境严格程度相同还是不同的国家,即全球采矿业中是否存在污染避风港。与以往大多数研究使用的总投资不同,我们分析的是个人投资选择的数据集。我们建立了国家选择和共同投资金额的模型,因为这两个变量可能是相关的。采用随机参数多项Logit模型对国家的选择进行建模。我们使用了迄今为止尚未分析过的数据集,这些数据集是1994年至2006年间全球采矿业所有已完成的并购所支付的价值。我们没有发现该行业存在污染避风港的证据。如果有的话,来自环境严格程度高的国家的买家更有可能在环境严格程度相似的国家投资,并且比在环境不那么严格的国家投资更多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Determinants of Mergers & Acquisitions in a Resource-Based Industry: What Role for Environmental Sustainability?
This paper examines the relationship between environmental stringency and mergers and acquisitions (M&A) activity in a highly polluting, resource-based industry. Specifically, it seeks to determine whether buyers are targeting countries with the same or different levels of environmental stringency than in their own country, i.e. whether pollution havens exist in the global mining industry. Rather than aggregate investment, which has been used by most previous studies, we analyze a dataset of individual investment choices. We model the choice of country and the amount invested jointly as the two variables are likely to be correlated. The choice of country is modeled using a random parameters multinomial Logit model. We use a hitherto unanalyzed data set of the value paid for all completed M&A in the mining industry worldwide between 1994 and 2006. We find no evidence of pollution havens in this industry. If anything, buyers from countries with high levels of environmental stringency are more likely to invest in countries with a similar level of environmental stringency and make larger investments in them than in less environmentally stringent countries.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.10
自引率
0.00%
发文量
10
审稿时长
26 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信