Toward a better understanding of the apparel industry: a critique of the upgrading literature

Tokatlı, Nebahat

doi:10.1093/jeg/lbs043

Cited by 107 publications

(94 citation statements)

References 23 publications

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“…Economic upgrading -commonly understood as a firms', regions' or countries' trajectory from lower-to higher-value activities (Bair/Gereffi 2003) -has become a cornerstone in chain and network research. Upgrading is generally differentiated in upgrading within production, involving process and product upgrading and functional upgrading which involves taking over higher value functions beyond production such as input sourcing, design, product development and branding (Humphrey/Schmitz 2001Tokatli 2013). The conventional view conceives economic upgrading as both a linear and pro-active process.…”

Section: Institutional Context Macro Policies and Upgrading Compleximentioning

confidence: 99%

“…This view does, however, not capture the diverse, non-linear and uneven upgrading trajectories of firms (Pickles et al 2006;Bair 2005;Tokatli 2013). Rather than following one road from low value to higher value activities firms assume different roles and pursue a variety of strategies simultaneously and may end up with different positions in different GPNs (Pickles et al 2006;Tokatli 2013).…”

Section: Institutional Context Macro Policies and Upgrading Compleximentioning

confidence: 99%

“…For CEE countries this involves the specific institutional and policy context of post-Socialism, EU trade agreements and accession, and the global economic crisis. Second, the existence of diverse, non-linear and uneven up-and downgrading dynamics (Pickles et al 2006;Tokatli 2013) and of defensive rather than pro-active firm level strategies question the ideal trajectory of upgrading often portrayed in chain and network research.…”

Section: Introductionmentioning

confidence: 99%

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Global competition, institutional context and regional production networks: up- and downgrading experiences in Romania’s apparel industry

Plank¹,

Staritz²

2015

CAMRES

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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. Terms of use: Documents in Index of Figures and Tables AbstractRegional suppliers still play an important role in the global apparel industry. By studying the experience of Romania's apparel sector, the paper highlights, first, the importance of multiscalar institutional, macro and policy contexts in analyzing the articulation of and up-and downgrading experiences in global production networks. These include the Multi-Fibre Arrangement, EU trade agreements and accession, the global economic crisis, and the specific institutional and policy context of post-Socialism. Second, the paper stresses the existence of diverse, non-linear and uneven up-and downgrading trajectories and of reactive adaptation rather than pro-active firm strategies. This questions the ideal upgrading account often portrayed in chain and network research.

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Section: Institutional Context Macro Policies and Upgrading Compleximentioning

confidence: 99%

Section: Institutional Context Macro Policies and Upgrading Compleximentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Global competition, institutional context and regional production networks: up- and downgrading experiences in Romania’s apparel industry

Plank¹,

Staritz²

2015

CAMRES

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“…The scholars suggest that industry clustering has positive effect on innovation performance and knowledge (Lai et al 2014;Tavassoli and Tavassoli 2014;Bouncken and Kraus 2013;Morrison et al 2013;Feldman 2014). Literature study, data collection and analysis allow making a conclusion that profit making or capital accumulation can differ depending on companies' upgrade (Tokatli 2013) or path dependence (Dobusch and Schussler 2013). D'Agostino (2013) studies the relationship between a region's home and foreign investments in R&D that affects home's regional knowledge production.…”

Section: Introductionmentioning

confidence: 99%

“…Different methods are applied in order to analyze qualitative and quantitative data, such as correlation and regression analysis (Casanueva et al 2013;Lai et al 2014;Tavassoli, Carbonara 2014;Crespo et al 2014;D'Angelo et al 2013), gravitation model (Castellani et al 2013), case analysis (Ben Lafeita and Rabeu 2013;Boschma et al 2013;Bouncken and Kraus 2013;Carswell 2013;Lorenzen, Mudambi 2013;Tokatli 2013;Dobusch and Schussler 2013;Morrison et al 2013) or literature analysis (Crane et al 2014;D'Agostino et al 2013;Maskell 2014;Feldman 2014;D'Este et al 2013;Ketels 2013). The problem of providing the most effective way to evaluate the data of different phenomena, which are mentioned in clusters' studies, could be by performing a quantitative evaluation of clusters' performance ).…”

Section: Introductionmentioning

confidence: 99%

Towards Competitive Regional Development Through Clusters: Approaches to Their Performance Evaluation

Tvaronavičienė¹,

Razminienė²

2017

JOC

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It is notable that the interest in clusters and their role in sustainable regional development are increasing as scholars often review this topic. Valuable observations are made on how the clusters should be researched in order to improve their performance which would result in economic growth both on regional and national scale. Clusters' performance is complicated to evaluate as the measures of the aspects that must be calculated differ and the most appropriate solution to formalize these aspects should be found. Different multi-criteria evaluation methods are suggested by scholars for a quantitative evaluation of performance of a certain phenomenon. This study attempts to present the clusters' performance evaluation by applying the multi-criteria SAW method. Seven clusters from Lithuania and Latvia were examined to serve the purpose of this study. The multi-criteria analysis could be used as a method in further evaluation of clusters' performance for it is comprehensible, easy to apply, helpful in the data evaluation of different measures and it provides adequate results, which is very important in a quantitative analysis. The results suggest that processes are very important in clusters' performance evaluation for clusters which show good results with processes, stay in high positions, whereas clusters which are keeping behind with processes show worse results in their performance. The study still needs to be supplemented by more clusters to obtain specific information and to elaborate on more specific clusters' performance evaluation methods.

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References

2015

Articulations of Capital

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Toward a better understanding of the apparel industry: a critique of the upgrading literature

Cited by 107 publications

References 23 publications

Global competition, institutional context and regional production networks: up- and downgrading experiences in Romania’s apparel industry

Global competition, institutional context and regional production networks: up- and downgrading experiences in Romania’s apparel industry

Towards Competitive Regional Development Through Clusters: Approaches to Their Performance Evaluation

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