Economic and social position of medicinal and aromatic plants
Behnaz Attaeian; Sohrab Moradi; Kamran Shayesteh; Soheila Mousa
Abstract
Background and objectives: Forest and rangeland by-products, particularly medicinal plants, can contribute to sustainable development and increase economic opportunities for local communities. Medicinal plants play a significant role in society's health and disease treatment. ...
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Background and objectives: Forest and rangeland by-products, particularly medicinal plants, can contribute to sustainable development and increase economic opportunities for local communities. Medicinal plants play a significant role in society's health and disease treatment. Negligence to the preservation of medicinal heritage reserves in the field of natural resources will lead to disastrous consequences in the country's natural resources sector. Among these consequences are the rapid extinction of species and severe genetic erosion. Therefore, this study targets protection value and people's willingness to pay for medicinal plant protection and restoration.Methodology: The Salas Babajani region in Kermanshah province was chosen for this research. The vegetation in this area is mainly wooded, and most of the area is covered by dense forests. Due to its diverse topography, the Salas Babajani region has a variety of forest habitats and rangeland and forest medicinal plants. Asafoetida, Thyme, Hawthorn, Wormwood, Eremurus, Dog rose, Chamomile, Sweet violet, Oak, Ferulago, Common Thistle, Horsemint, licorice, etc., are among the medicinal plants of this region. Contingent Valuation Method (CVM) was used to estimate medicinal plants' non-use (protective) values in this study. Also, a Double-Bounded Dichotomous Choice questionnaire was used to measure people's willingness to pay for medicinal plant protection in the region. The questionnaire was designed in two parts: socio-economic characteristics of people (age, gender, level of education, occupation, number of family members, income, and other characteristics of the respondents) and questions related to the willingness to pay of the respondents. Sampling was done by simple random sampling among residents of the Salas Babajani region in 2016. Cochran's formula from 353 questionnaires determined the number of samples. The logit model was used to measure people's willingness to pay, and the parameters were estimated based on the maximum likelihood method.Results: The results showed that 64% of the interviewees were men and 36% were women. The average age of the respondents is 27.88 years, the average household size is 4.46, and their minimum and maximum household sizes are one person and ten people, respectively. The results also showed that more than 76% of people (269 samples) are willing to pay an amount to protect and restore medicinal plants. The average willingness of each person to pay annually for the protection and restoration of medicinal plants is equal to 5269 Tomans (according to the average household size (4.46 people) equal to 23500 Tomans for each household per year). The variables of household size and the suggested price have a significant negative effect with 95% confidence. The variables of income, gender, level of education, supporting the protection of natural resources (interest in the environment), and knowledge of the protection of medicinal plants and its relationship with sustainable development (knowledge and awareness of environmental protection) are among the most important positive influencing factors with 95% confidence on people's willingness to pay for the protection of medicinal plants. The variables of age, marital status, occupation, membership in environmental organizations, and environmental attitudes and tendencies did not affect the acceptance of the suggested price for medicinal plants conservation value. The Likelihood Ratio statistic (280.39) shows that the changes explained by the logit model are significant at a level higher than one percent. The estimated model's correct prediction percentage is also 75%. Since the percentage of correct prediction for the logit model is equal to 70%, the percentage of correct prediction obtained in this model seems favorable. Therefore, this model is reliable for further analysis. McFadden's coefficient of determination also shows that the model's explanatory variables explain well (about 0.87) the changes in the dependent variable.Conclusion: In terms of management, this study achieved promising results because it shows that the people of society are aware of the importance of protecting medicinal plants, and there is a desire to pay significantly for the protection and restoration of these valuable resources. Therefore, it is suggested that the government pay more attention to public participation to protect, revive, and develop medicinal plants in the forest areas of the study area.
