Recent years have seen a rise in global trade of “green products”—those designed to minimize environmental harm compared to traditional alternatives. In this study, we examine the relevance of pollution haven effects—i.e., shifts of production toward countries with less stringent environmental standards—in firms’ global sourcing strategies for green products. Given the importance of credible and sustainable manufacturing practices in firms’ global value chains for green products, we expect that country environmental standards shape global sourcing decisions for green versus non-green products differently. Our findings using data on global imports and exports for more than 5,000 distinct products over the 2002–2019 period show that green products are more likely to be sourced from countries with higher environmental stringency, whereas non-green product sourcing patterns align with prior research, which emphasizes the appeal of lower environmental standards and cost-efficiency. This green sourcing effect is stronger for consumer-facing products and for sourcing into countries where consumer engagement in environmentalism is higher and non-governmental organizations are more active. Unlike prior research that implies that higher environmental standards hurt exporters, our results suggest that such standards can benefit green product exporters.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 1 of 1 Result
Jun 26, 2025
Berry, Heather; Chauvin, Jasmina; Cheng, Yuxi (Lance); Narae Lee, 2025, "Replication Data for: The Global Sourcing of Green Products", https://doi.org/10.7910/DVN/OF5VXQ, Harvard Dataverse, V1
The Green_Sourcing dataset and green_sourcing dofile can be used to create the main tables in the paper "The Global Sourcing of Green Products".
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.