This paper provides a systematic estimation of import demand elasticities for a broad group of countries at a very disaggregated level of product detail. We use a semiflexible translog GDP function approach to formally derive import demands and their elasticities, which are estimated with data on prices and endowments. Within a theoretically consistent framework, we use the estimated elasticities to construct Feenstra's (1995) simplification of Anderson and Neary's trade restrictiveness index (TRI). The difference between TRIs and import-weighted tariffs is shown to depend on the tariff variance and the covariance between tariffs and import demand elasticities. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. China has defied the declining trend in domestic content in exports in many countries. We study China's rising domestic content in exports using firm-and customs transaction-level data. Our approach embraces firm heterogeneity and hence reduces aggregation bias. We find that the substitution of domestic for imported materials by individual processing exporters caused China's domestic content in exports to increase from 65% to 70% in 2000-2007. Such substitution was induced by the country's trade and investment liberalization, which deepened its engagement in global value chains and led to a greater variety of domestic materials becoming available at lower prices.
Terms of use:
Documents in EconStor mayJEL-Codes: F100, F140.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. China has defied the declining trend in domestic content in exports in many countries. We study China's rising domestic content in exports using firm-and customs transaction-level data. Our approach embraces firm heterogeneity and hence reduces aggregation bias. We find that the substitution of domestic for imported materials by individual processing exporters caused China's domestic content in exports to increase from 65% to 70% in 2000-2007. Such substitution was induced by the country's trade and investment liberalization, which deepened its engagement in global value chains and led to a greater variety of domestic materials becoming available at lower prices.
Terms of use:
Documents in EconStor mayJEL-Codes: F100, F140.
Product variety plays an important role in the theoretical work on monopolistic competition and trade, and recent empirical work has begun to quantify this for aggregate and disaggregate import demands. The objective of this paper is to discuss the measurement of product variety in trade, using a broad cross-section of advanced and developing countries and disaggregating across sectors. We calculate the export variety of countries in their sales to the United States, and relate the export variety indexes to country productivities. We confirm that countries with greater product variety in exports also have higher productivity. This may be due to their own development of, and access to, these products.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.