Global value chains and firms’ environmental performance
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/8643
comunitat-uji-handle3:10234/8644
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INVESTIGACIONMetadata
Title
Global value chains and firms’ environmental performanceDate
2023-09-22Publisher
ElsevierISSN
0305-750X; 1873-5991Bibliographic citation
Siewers, Samuel, Inmaculada Martínez-Zarzoso, and Leila Baghdadi. "Global value chains and firms’ environmental performance." World Development 173 (2024): 106395.Type
info:eu-repo/semantics/articleVersion
info:eu-repo/semantics/acceptedVersionSubject
Abstract
This paper analyzes the link between joining global value chains (GVCs) and firms’ environmental performance. Based on new survey data for firms in countries in Central Asia, Eastern Europe, and MENA, we use propensity ... [+]
This paper analyzes the link between joining global value chains (GVCs) and firms’ environmental performance. Based on new survey data for firms in countries in Central Asia, Eastern Europe, and MENA, we use propensity score matching (PSM) to compare similar companies that differ in terms of GVC participation. Our results show that firms that enter GVCs perform better across several environmental indicators. In particular, these firms are more likely to adopt environmentally friendly production technologies, comply with more demanding standards and regulations and, in the case of manufacturing firms, monitor CO2 emissions along their supply chains. Moreover, by combining PSM with difference-in-differences, we find that becoming active in GVCs is also linked to more efficient energy use. Our results are stronger for firms in non-EU countries, and highlight the importance of environmental regulation in ensuring that global supply chains go hand in hand with greener production. [-]
Is part of
World Development. Volume 173, January 2024, 106395Related data
Data will be made available on request.Funder Name
Ministerio de Ciencia, Innovación y Universidades | Generalitat Valenciana | Universitat Jaume I
Project code
PID2020-114646RB-C42 | MCIN-AEI/10.13039/ 501100011033 | CIPROM/2022/50 PROMETEO | UJI-B2020-57
Rights
0305-750X/© 2023 Elsevier Ltd. All rights reserved.
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