Summary
A defining feature of the global economy is the gradual fragmentation of production across firms and
borders, a phenomenon that has been termed outsourcing or global value chains.
State-of-the-art empirical economic analysis on value chains has mostly been limited to the study of
aggregate data because there is limited data on actual firm-to-firm linkages in the global economy. Even less
is currently known about which products are typically outsourced, and which workers are affected.
This project will change that. I will bring together four unique firm-to-firm datasets on local and global value
chains that will push the research frontier forward in two main directions:
- Previous research has shown that economic integration encourages growth. Due to data limitations,
however, we know little about the origins of growth, and to what extent the emergence of value chains can
explain the growth response. New theory is needed, where firm-to-firm connections are endogenously
formed in response to economic integration. I will confront theory with data and directly test whether
integration facilitates new buyer-supplier relationships and growth.
- Previous research has found that economic integration has large negative effects on wages for low-skill
workers. But again, due to data limitations, it is unclear to what extent value chains are responsible for this.
Simply put, the impact of outsourcing on wages will depend on which workers are displaced by outsourcing.
Until now, researchers have not been able to observe which workers, along with their occupations and
skills, that are employed in both the supplying and outsourcing firm. For the first time, this information will
be available, allowing for a rich analysis of labor market effects for different skill groups.
GLOBALPROD will inform policymakers about how wages for different types of skills change in response
to globalization, but also how economic integration can promote efficiency and competitiveness.
borders, a phenomenon that has been termed outsourcing or global value chains.
State-of-the-art empirical economic analysis on value chains has mostly been limited to the study of
aggregate data because there is limited data on actual firm-to-firm linkages in the global economy. Even less
is currently known about which products are typically outsourced, and which workers are affected.
This project will change that. I will bring together four unique firm-to-firm datasets on local and global value
chains that will push the research frontier forward in two main directions:
- Previous research has shown that economic integration encourages growth. Due to data limitations,
however, we know little about the origins of growth, and to what extent the emergence of value chains can
explain the growth response. New theory is needed, where firm-to-firm connections are endogenously
formed in response to economic integration. I will confront theory with data and directly test whether
integration facilitates new buyer-supplier relationships and growth.
- Previous research has found that economic integration has large negative effects on wages for low-skill
workers. But again, due to data limitations, it is unclear to what extent value chains are responsible for this.
Simply put, the impact of outsourcing on wages will depend on which workers are displaced by outsourcing.
Until now, researchers have not been able to observe which workers, along with their occupations and
skills, that are employed in both the supplying and outsourcing firm. For the first time, this information will
be available, allowing for a rich analysis of labor market effects for different skill groups.
GLOBALPROD will inform policymakers about how wages for different types of skills change in response
to globalization, but also how economic integration can promote efficiency and competitiveness.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/715147 |
| Start date: | 01-01-2017 |
| End date: | 31-12-2021 |
| Total budget - Public funding: | 1 476 948,00 Euro - 1 476 948,00 Euro |
Cordis data
Original description
A defining feature of the global economy is the gradual fragmentation of production across firms andborders, a phenomenon that has been termed outsourcing or global value chains.
State-of-the-art empirical economic analysis on value chains has mostly been limited to the study of
aggregate data because there is limited data on actual firm-to-firm linkages in the global economy. Even less
is currently known about which products are typically outsourced, and which workers are affected.
This project will change that. I will bring together four unique firm-to-firm datasets on local and global value
chains that will push the research frontier forward in two main directions:
- Previous research has shown that economic integration encourages growth. Due to data limitations,
however, we know little about the origins of growth, and to what extent the emergence of value chains can
explain the growth response. New theory is needed, where firm-to-firm connections are endogenously
formed in response to economic integration. I will confront theory with data and directly test whether
integration facilitates new buyer-supplier relationships and growth.
- Previous research has found that economic integration has large negative effects on wages for low-skill
workers. But again, due to data limitations, it is unclear to what extent value chains are responsible for this.
Simply put, the impact of outsourcing on wages will depend on which workers are displaced by outsourcing.
Until now, researchers have not been able to observe which workers, along with their occupations and
skills, that are employed in both the supplying and outsourcing firm. For the first time, this information will
be available, allowing for a rich analysis of labor market effects for different skill groups.
GLOBALPROD will inform policymakers about how wages for different types of skills change in response
to globalization, but also how economic integration can promote efficiency and competitiveness.
Status
CLOSEDCall topic
ERC-2016-STGUpdate Date
27-04-2024
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