CREAT: Census Research Exploration and Analysis Tool

OFFSHORING POLLUTION WHILE OFFSHORING PRODUCTION*

January 2016

Working Paper Number:

CES-16-09R

Abstract

We examine the role of firm strategy in the global combat against pollution. We find that U.S. plants release less toxic emissions when their parent firm imports more from low-wage countries (LWCs). Consistent with the Pollution Haven Hypothesis, goods imported by U.S. firms from LWCs are in more pollution-intensive industries; U.S. plants shift production to less pollution-intensive industries, produce less waste, and spend less on pollution abatement when their parent imports more from LWCs. The negative impact of LWC imports on emissions is stronger for U.S. plants located in counties with greater institutional pressure for environmental performance, but weaker for more-capable U.S. plants and firms. These results highlight the role of local institutions and firm capability in explaining firms' choice of offshoring and environmental strategy.

Document Tags and Keywords

Keywords Keywords are automatically generated using KeyBERT, a powerful and innovative keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant keywords.

By analyzing the content of working papers, KeyBERT identifies terms and phrases that capture the essence of the text, highlighting the most significant topics and trends. This approach not only enhances searchability but provides connections that go beyond potentially domain-specific author-defined keywords.
:
econometric, manufacturer, export, corporation, subsidiary, tariff, factory, multinational, regulation, economically, emission, pollutant, environmental regulation, epa, environmental, pollution, plants firms, polluting, supplier, outsource, institutional, estimates pollution

Tags Tags are automatically generated using a pretrained language model from spaCy, which excels at several tasks, including entity tagging.

The model is able to label words and phrases by part-of-speech, including "organizations." By filtering for frequent words and phrases labeled as "organizations", papers are identified to contain references to specific institutions, datasets, and other organizations.
:
National Science Foundation, Census of Manufactures, Annual Survey of Manufactures, New York Times, Toxics Release Inventory, Organization for Economic Cooperation and Development, Pollution Abatement Costs and Expenditures, Environmental Protection Agency, North American Free Trade Agreement, World Bank, Chicago Census Research Data Center, American Community Survey, Special Sworn Status, University of Michigan, Longitudinal Firm Trade Transactions Database, World Trade Organization, International Trade Research Report, Minnesota Population Center

Similar Working Papers Similarity between working papers are determined by an unsupervised neural network model know as Doc2Vec.

Doc2Vec is a model that represents entire documents as fixed-length vectors, allowing for the capture of semantic meaning in a way that relates to the context of words within the document. The model learns to associate a unique vector with each document while simultaneously learning word vectors, enabling tasks such as document classification, clustering, and similarity detection by preserving the order and structure of words. The document vectors are compared using cosine similarity/distance to determine the most similar working papers. Papers identified with 🔥 are in the top 20% of similarity.

The 10 most similar working papers to the working paper 'OFFSHORING POLLUTION WHILE OFFSHORING PRODUCTION*' are listed below in order of similarity.