32
Views
0
CrossRef citations to date
0
Altmetric
Research Letter

Do environmental provisions in regional trade agreements help to increase environmental innovation?

ORCID Icon, &
Published online: 07 Jun 2024
 

ABSTRACT

Assessing the effectiveness of environmental provisions in regional trade agreements (RTAs) on environmental outcome is important. This paper calculates the RTA strength with environmental provisions and RTA strength without environmental provisions. Then we explore the effect of environmental provisions in RTAs on environmental innovation using panel data for 77 countries from 1995 to 2013. The empirical results show that the overall RTA intensity signed by a country has no significant impact on environmental innovation. However, there are some differences when considering the presence of environmental provisions. Specifically, the RTA intensity with environmental provisions has no significant effect on its environmental innovation. However, a significant negative relationship exists between RTA intensity without environmental provisions and environmental innovation. Our conclusion provides policy insights for policymakers considering incorporating environmental provisions into RTAs.

JEL CLASSIFICATION:

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Social Science Fund of China [21BJL111].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 205.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.