Assessing the Reliability of Studies on the Value Added Distribution in globally fragmented Production Processes based on Input-Output Models
(2016)- Abstract
- Input-output analyses have gained relevance in studies examining the value added distribution along globally fragmented value chains. However, their reliability to reflect true value added contributions has been challenged by biases identified by Nomaler & Verspagen (2014). In order to extend their analysis with an empirical component, we construct hypothetical input-output tables representing global scenarios based on national data. By simulating value added measurements by Los et al. (2015), we identify the distortions empirically but argue that their small magnitude does not justify questioning recent studies of value added distribution within global value chains.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/f68b2578-381d-48fa-a929-f7992e299a0e
- author
- Baumert, Nicolai LU
- supervisor
- publishing date
- 2016-07-11
- type
- Thesis
- publication status
- unpublished
- subject
- keywords
- Input-Output Analysis, Production Fragmentation, Value Added, Value Chains, Aggregation Bias, Hypothetical Input-Output Analysis
- pages
- 56 pages
- language
- English
- LU publication?
- no
- id
- f68b2578-381d-48fa-a929-f7992e299a0e
- date added to LUP
- 2017-09-06 16:15:17
- date last changed
- 2018-11-21 21:34:28
@misc{f68b2578-381d-48fa-a929-f7992e299a0e, abstract = {{Input-output analyses have gained relevance in studies examining the value added distribution along globally fragmented value chains. However, their reliability to reflect true value added contributions has been challenged by biases identified by Nomaler & Verspagen (2014). In order to extend their analysis with an empirical component, we construct hypothetical input-output tables representing global scenarios based on national data. By simulating value added measurements by Los et al. (2015), we identify the distortions empirically but argue that their small magnitude does not justify questioning recent studies of value added distribution within global value chains.}}, author = {{Baumert, Nicolai}}, keywords = {{Input-Output Analysis; Production Fragmentation; Value Added; Value Chains; Aggregation Bias; Hypothetical Input-Output Analysis}}, language = {{eng}}, month = {{07}}, title = {{Assessing the Reliability of Studies on the Value Added Distribution in globally fragmented Production Processes based on Input-Output Models}}, url = {{https://lup.lub.lu.se/search/files/30695530/Masterthesis_Baumert_University_of_Groningen.pdf}}, year = {{2016}}, }