Identifying the Antecedents and Consequences of the Value Chain of Medicinal Plants in Order to Empower the Utilizers of Nodushan Rangelandsins of Yazd Province

Document Type : Original Article

Authors

1 Department of Arid and Mountainous Regions Rehabilitation, Faculty of Natural Resources, University of Tehran, karaj, Iran.

2 Department of Natural Resources Policy, Faculty of Natural Resources, University of Tehran, Karaj, Iran.

Abstract

Medicinal plants play a crucial role in enhancing the quality of life for utilizers due to their therapeutic properties and high economic value. This study aimed to identify the antecedents and consequences of the medicinal plant value chain in order to empower the utlizers of Nadushan rangelands in Yazd province, Iran. The research method was applied in terms of its purpose, exploratory in nature, and utilized the database method and Glaser’s approach. Data was collected from 30 theoretical and experimental experts with more than 5 years of work experience, relevant research activities, as well as users of medicinal plants in the Nadushan region of Yazd province. Purposeful sampling and theoretical judgment were used to select the participants. The results revealed 4 final codes for antecedents and 7 final codes for consequences. The antecedents include climatic factors, cultivation potential, funding, initial capital, and maintaining the value chain. The consequences of the chain include improving people's health, supporting production, market development, environmental protection, efficiency of medicinal plants, economic development, cultural and social development. According to the findings, strengthening the medicinal plant value chain and optimal use of rangelands can contribute to sustainable development and improve the quality of life in the region. This study emphasizes the importance of cooperation between rangeland utlizers, government, and educational institutions to efficiently utilize the potentials in this field. Identifying and analyzing the antecedents and consequences can serve as a model for other similar regions in the country.

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History

  • Receive Date: 11 August 2024
  • Revise Date: 23 August 2024
  • Accept Date: 07 September 2024
  • First Publish Date: 22 September 2024
  • Publish Date: 22 September 2024

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