Bordeaux and Napa Valley clusters – growing, sustaining, declining or renewing? A cluster life cycle perspective

Purpose This study aims to investigate the dynamic nature of local economies through the lens of cluster life cycle (CLC) theory. The authors offer an original perspective on the comparison of the mature Old World wine industry and the growing New World one, viewed through the lens of the CLC aiming to understand the specific stage of cluster development for these regions. The authors aim to define the CLC dynamics of two world-renowned wine clusters, symbolizing these old and new world wine industries: Napa and Bordeaux. Design/methodology/approach The research adopts a case study approach, specifically analyzing the Bordeaux and Napa Valley wine clusters, using a CLC identification framework. This study integrates recent conceptual advances from evolutionary and institutional economic geography, incorporating a dynamic “path” approach to cluster development stages. Findings In examining Bordeaux, despite indications of maturity in the wine industry, the cluster displays signs of transformation, marked by reorganization, diversification and adaptation to new conditions, such as enotourism and technological clusters. In contrast, Napa Valley, while well established, exhibits characteristics of sustainment with stabilized business dynamics. Research limitations/implications This study acknowledges its exploratory nature and the need for future empirical studies on various clusters to fully validate and refine the CLC identification framework. Practical implications The proposed CLC identification framework serves as a valuable tool for policymakers and companies by facilitating precise identification of cluster development stages. This tool enables stakeholders to better understand and address the specific needs and characteristics of clusters at different stages, enhancing the effectiveness of targeted interventions and support measures. Originality/value This research advances CLC theory by introducing the development trajectories of the Napa and Bordeaux clusters, analyzed independently of their dominant industries, using the CLC path identification model. This approach provides a fresh perspective on cluster evolution, enriching the theoretical framework with insights that transcend traditional industry-specific analysis. By enhancing the precision and relevance of cluster stage identification, this research offers a valuable guide for policymakers and cluster stakeholders, enabling them to better understand the dynamics of cluster development and intervene effectively at critical stages.

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Publication Details

Journal
International Journal of Wine Business Research
Published
2025-02-18
DOI
https://doi.org/10.1108/ijwbr-12-2023-0083
Citations
1
Primary Topic
Regional Development and Policy
Type
article
Field-Weighted Citation Impact
8.52
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article

Bordeaux and Napa Valley clusters – growing, sustaining, declining or renewing? A cluster life cycle perspective

Raquel Meneses, Ana Paula Africano, Svitlana Ostapenko
1 citations
International Journal of Wine Business Research
Regional Development and Policy
8.52
article

Bordeaux and Napa Valley clusters – growing, sustaining, declining or renewing? A cluster life cycle perspective

Raquel Meneses, Ana Paula Africano, Svitlana Ostapenko
article en
1 citations

Abstract

Purpose This study aims to investigate the dynamic nature of local economies through the lens of cluster life cycle (CLC) theory. The authors offer an original perspective on the comparison of the mature Old World wine industry and the growing New World one, viewed through the lens of the CLC aiming to understand the specific stage of cluster development for these regions. The authors aim to define the CLC dynamics of two world-renowned wine clusters, symbolizing these old and new world wine industries: Napa and Bordeaux. Design/methodology/approach The research adopts a case study approach, specifically analyzing the Bordeaux and Napa Valley wine clusters, using a CLC identification framework. This study integrates recent conceptual advances from evolutionary and institutional economic geography, incorporating a dynamic “path” approach to cluster development stages. Findings In examining Bordeaux, despite indications of maturity in the wine industry, the cluster displays signs of transformation, marked by reorganization, diversification and adaptation to new conditions, such as enotourism and technological clusters. In contrast, Napa Valley, while well established, exhibits characteristics of sustainment with stabilized business dynamics. Research limitations/implications This study acknowledges its exploratory nature and the need for future empirical studies on various clusters to fully validate and refine the CLC identification framework. Practical implications The proposed CLC identification framework serves as a valuable tool for policymakers and companies by facilitating precise identification of cluster development stages. This tool enables stakeholders to better understand and address the specific needs and characteristics of clusters at different stages, enhancing the effectiveness of targeted interventions and support measures. Originality/value This research advances CLC theory by introducing the development trajectories of the Napa and Bordeaux clusters, analyzed independently of their dominant industries, using the CLC path identification model. This approach provides a fresh perspective on cluster evolution, enriching the theoretical framework with insights that transcend traditional industry-specific analysis. By enhancing the precision and relevance of cluster stage identification, this research offers a valuable guide for policymakers and cluster stakeholders, enabling them to better understand the dynamics of cluster development and intervene effectively at critical stages.

International Journal of Wine Business ResearchVol. 37(3)
Universidade do Porto (PT), Institute for Systems Engineering and Computers (PT), INESC TEC (PT)
Openalex Percentile: Top 6%
Regional Development and Policy
8.52
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