2016
DOI: 10.1093/jeg/lbw039
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Toward a Polanyian network analysis: market and non-market forms of coordination in the rice economy of Vietnam

Abstract: The study proposes a network-based methodology linking Polanyi’s ideal types of coordination and deductive blockmodeling to identify different forms of coordination within an economy. Using the proposed methodology, the economy of rice in post-socialist Vietnam is interpreted as a double movement responding to market liberalization. Qualitative and relational data were collected from 323 households and firms in two communes of the Mekong River Delta of Vietnam. Results show that in one case markets and redistr… Show more

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Cited by 8 publications
(6 citation statements)
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“…Sometimes scholars have spent many years researching a community, region, or industry and have adopted a deep and intimate understanding of manifest and latent processes. Such prior contextual knowledge then permits the researcher to theoretically justify more formal analysis of network structure and even allow for the formulation of empirically grounded hypotheses and meaningful models (Glückler and Panitz, 2016; Prota, 2016).…”
Section: Combining Methods For Meaningful Relational Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Sometimes scholars have spent many years researching a community, region, or industry and have adopted a deep and intimate understanding of manifest and latent processes. Such prior contextual knowledge then permits the researcher to theoretically justify more formal analysis of network structure and even allow for the formulation of empirically grounded hypotheses and meaningful models (Glückler and Panitz, 2016; Prota, 2016).…”
Section: Combining Methods For Meaningful Relational Analysismentioning
confidence: 99%
“…Recently, however, the literature has emphasized that the huge potential of using the structural information of the entire network to gain more complex insights into the logic of connectivity between nodes, such as divisions of labor or core-periphery structures, has been largely left unexhausted (Glückler and Doreian, 2016). Fruitful techniques of network-level studies such as positional analysis (blockmodels) or the analysis of small-world structures (modularity) have been applied only recently in human geography (Etxabe and Valdaliso, 2016; Glückler and Panitz, 2016; Henderson and Alderson, 2016; Prota, 2016; Tomasello et al, 2016).…”
Section: A Meta-analysis Of Network Studies In Human Geographymentioning
confidence: 99%
“…Building on relational data and the three scales of analysis (actor, substructure, entire network), there is a continuous advance in methodologies and a growing interest in geography to use these methods (Glückler & Doreian, 2016;Glückler, Lazega, & Hammer, 2017). Three recent examples of interest for geographers are methods for positional (Glückler & Panitz, 2016a, 2016bProta, 2016), evolutionary (Nomaler & Verspagen, 2016), and multi-level (Brailly, 2016;Lazega & Snijders, 2016) network analysis. In the context of this chapter, we would like to portray a case study of the exchange network of a time bank that is geographically situated in a city in Southern Germany.…”
Section: Relational Thinking and Social Networkmentioning
confidence: 99%
“…It is premature to call the field of inquiry into network governance 1 a coherent research framework (Ansell & Torfing, 2016;Glückler, Dehning, Janneck, & Armbrüster, 2012;Jung, Krebs, & Teubner, 2015;Keast, 2016;Maggetti & Gilardi, 2014;Prota, 2016), even more so because the term governance has been used rather broadly across the social sciences, such as in political science (Ansell & Gash, 2008;Crouch, 2005;Rhodes, 2007), institutional economics (Williamson, 2005), sociology (Podolny & Page, 1998;Powell, 1991;Rowley, Behrens, & Krackhardt, 2000), and human geography (Allen & Cochrane, 2007;Charron, Dijkstra, & Lapuente, 2014;Macleod & Goodwin, 1999). The dearth of concepts of and empirical insights into network governance stems primarily from the egalitarian aspirations of partners cooperating in lateral networks.…”
mentioning
confidence: 99%