文章基本信息

标题：An Empirical Analysis of the Nonlinear Relationship Between Environmental Regulation and Manufacturing Productivity
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作者：Armando Sanchez-Vargas ; Ricardo Mansilla-Sanchez ; Alonso Aguilar-Ibarra 等
期刊名称：Journal of Applied Economics
印刷版ISSN：1514-0326
电子版ISSN：1667-6726
出版年度：2013
卷号：16
期号：2
页码：357-371
DOI：10.1016/S1514-0326(13)60015-X
摘要：The relationship between environmental regulation and productivity has been broadly analyzed. Here, we propose the use of one member of the family of exponential Gumbel distributions in order to study a potential nonlinear relationship between environmental regulation and manufacturing productivity in Mexico using a data set at the plant level. We show that the link between environmental regulation and productivity is in fact nonlinear and that there is a decreasing trade-off between those variables in the manufacturing industry. We find that such trade-off is high for small firms, but almost negligible for large companies. Thus, we argue that much of the debate on different effects is due to the heterogeneity of the industry. This result might be useful for the design of policies devoted to enhancing environmental performance.
关键词：C46 ; C51 ; D24 ; Q52 ; exponential Gumbel distribution ; Porter Hypothesis ; nonlinear relationships ; Mexico's manufacturing industry ; environmental performance