Purpose

The present study aims to provide new evidence regarding the factors that determine the survival of firms in the Spanish wine industry and to improve the understanding of sector dynamics.

Design/methodology/approach

The empirical analysis, conducted over a representative sample of wineries in the DOC Rioja wine industry, is based on non-parametric (Kaplan–Meier graph) and semi-parametric survival models (Cox proportional hazard model).

Findings

The empirical model finds that wineries with a higher number of networks with institutions enjoy better survival prospects. This study also shows that a winery’s previous performance affects the winery’s survival probability; therefore, successful wineries in the past encounter a smaller hazard of exit. Although spending on R&D and exporting are factors likely to improve wineries' efficiency and competitiveness, these factors did not contribute significantly to the survival of DOC Rioja wineries.

Originality/value

This paper makes a significant contribution to the understanding of the determinants of wineries' survival and has important policy implications. In order to raise the probability of survival, policy makers should promote the networks that link wineries and institutions. Moreover, this study is based on survival analysis which, although frequently used in medical and behavioural sciences, has rarely been applied to wine economics. Finally, it uses a unique data set obtained from primary data collection, which previous studies have not analysed in relation to the probability of winery survival.

中文翻译：

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机构网络会影响酿酒厂的生存吗？

目的

本研究旨在提供有关决定西班牙葡萄酒行业企业生存的因素的新证据，并增进对行业动态的理解。

设计/方法/方法

对DOC Rioja葡萄酒行业的代表性酒厂进行的经验分析基于非参数（Kaplan–Meier图）和半参数生存模型（Cox比例风险模型）。

发现

实证模型发现，拥有更多与机构建立网络的酿酒厂享有更好的生存前景。这项研究还表明，酿酒厂以前的表现会影响该酿酒厂的生存概率。因此，过去成功的酿酒厂遇到的出口风险较小。尽管用于研发和出口的支出可能会提高酒厂的效率和竞争力，但这些因素并没有对DOC Rioja酒厂的生存做出重大贡献。

创意/价值

本文对了解酿酒厂生存的决定因素做出了重大贡献，并具有重要的政策含义。为了提高生存的可能性，政策制定者应促进将酒厂和机构联系起来的网络。此外，本研究基于生存分析，尽管其在医学和行为科学中经常使用，但很少用于葡萄酒经济学。最后，它使用从原始数据收集中获得的唯一数据集，以前的研究尚未对酿酒厂生存的可能性进行分析。