Impact of infrastructure and production processes on Rioja wine supply chain performance

  1. Díaz-Reza, J.R. 2
  2. García-Alcaraz, J.L. 2
  3. Martínez-Loya, V. 2
  4. Avelar-Sosa, L. 2
  5. Jiménez-Macías, E. 1
  6. Blanco-Fernández, J. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Universidad Autónoma de Ciudad Juárez
    info

    Universidad Autónoma de Ciudad Juárez

    Ciudad Juárez, México

    ROR https://ror.org/05fj8cf83

Revue:
Sustainability

ISSN: 2071-1050

Année de publication: 2018

Volumen: 10

Número: 1

Type: Article

beta Ver similares en nube de resultados
DOI: 10.3390/SU10010103 SCOPUS: 2-s2.0-85040014720 WoS: WOS:000425082600102 GOOGLE SCHOLAR

D'autres publications dans: Sustainability

Dépôt institutionnel: lock_openAccès ouvert Editor

Objectifs de Développement Durable

Résumé

This paper presents a structural equation model for analyzing the relationship between four latent variables: infrastructure, production processes, transport benefits, and economic benefits within the supply chain for wine from La Rioja, Spain, by incorporating 12 observed variables. The model proposes six hypothesis that were tested using information gathered from 64 surveys completed by managers of several wineries in the region. The WarpPLS v.5® software (Version 5.0, ScriptWarp Systems, Laredo, TX, USA) was used to execute the model and analyze the direct, indirect, and total effects among latent variables. The results show that the control of production processes is a direct source of economic and transport benefits because of its higher explanatory power of those variables. Similarly, infrastructure is a direct source of transport and production benefits, and some of them are given indirectly. In addition, infrastructure does not have a direct effect on economic benefits; however, there were indirect effects given through production process and transport benefits. Infrastructure is a very important variable because of its influence in the final performance, but also because of its high environmental impact. Finally, economic benefits were explained in 43.8%, 19.1% belonging to production process, 21.1% coming from transport benefits, and 3.7% from infrastructure. © 2018 by the authors.