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Lead Firms in the Cocoa–Chocolate Global Production Network: An Assessment of the Deductive Capabilities of GPN 2.0
Neilson J.a, Pritchard B.a, Fold N.b, Dwiartama A.c
a School of Geosciences, University of Sydney, Sydney, 2006, Australia
b Institute of Geography, University of Copenhagen, Copenhagen, K DK-1350, Denmark
c School of Life Sciences and Technology, Bandung Institute of Technology, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018, © 2018 Clark University.Recent models of Global Production Network Theory (known as GPN 2.0) have attempted to theoretically explain the underlying determinants, or causal drivers, of particular industry network configurations, which in turn shape the territorial outcomes for regional development. To date, the ability of this ambitious conceptual model to thereby explain economic geography has remained largely untested beyond the select industry networks examined by its proponents, most notably the electronics, retail, and automotive sectors of East Asia. In this article, we stress test the causative model for the case of lead firms in the global cocoa–chocolate sector, and assess its ability to subsequently explain industry configurations and territorial outcomes in a particular country: Indonesia. Our application suggests that GPN 2.0 has considerable utility for directing empirical research, but challenges beset its fuller theoretical promise. We identify a problematic relationship between the deductive causality implied by GPN 2.0 and the inherent relationality of GPN 1.0 that remains, in our view, unresolved. As a result, we remain skeptical of the broader theoretical claims that GPN 2.0 possesses explanatory powers capable of deducing industry network configurations from a discrete set of supposedly independent variables.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]chocolate,cocoa,economic geography,global production networks,global value chains,GPN 2.0,Indonesia,lead firms,value capture trajectories[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]We would like to thank the four anonymous reviewers of the article, all of whom provided input that helped improve the final version of the article. We would also like to acknowledge financial support for this research, which was provided by the Australian Centre for International Agricultural Research (Department of Foreign Affairs and Trade, Australian Government) [AGB-2010-099] and the Sydney Southeast Asia Centre (University of Sydney).[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1080/00130095.2018.1426989[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]