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Investigating Motivations and Problems of Medicinal and Aromatic Plant Processing in Kashan City, Iran

机译:伊朗喀山市调查药用和芳香植物加工的动机和问题

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The importance of medicinal and aromatic plants is increasing day by day. The international market of herbal products is estimated to be US$ 62 billion which is poised to grow to US$ 5 trillion by 2050. For making full use of this potential, countriesmust develop scientific cultivation, post harvest technology, processing, manufacturing, research and extension, patenting and marketing for medicinal plants. With regards to this importance, the main goal of this research was to study the motivations and problems of aromatic plant processing at Kashan City, Iran. This city has more than 370 species of wild medicinal and aromatic plants. Over 70 plant species are processed in this region. The result of processing is the production of rosewater and other distillates. In this survey, a research questionnaire was used. Reliability was determined by Cronbach's alpha (> 0.7) and validated by the ideas of selected experts and producers. The statistical population were traditional producers of rosewater andother distillates 105 of whom were selected randomly. Descriptive and inferential statistics such as frequency, percentage, cumulative percentage, mean, minimum, maximum, coefficient of variation and factor analysis were used for data analysis. The result of factor analysis for motivations of aromatic plant processing indicated that five factors (cultural belief, economic, skill, relative advantage and job creation) explained 68% of total variance. Regarding the problems of aromatic plant processing, five factors (economic, production, managerial, research and support) explained 74% of total variance.
机译:药用植物和芳香植物的重要性日益提高。草药产品的国际市场估计为620亿美元,预计到2050年将增长到5万亿美元。为充分利用这一潜力,各国必须发展科学种植,收获后技术,加工,制造,研究和开发药用植物的扩展,专利和营销。考虑到这一重要性,本研究的主要目的是研究伊朗喀山市芳香植物加工的动机和问题。这个城市拥有370多种野生药用和芳香植物。该地区加工了70多种植物。加工的结果是生产玫瑰水和其他馏出物。在这项调查中,使用了调查问卷。可靠性由克伦巴赫(Cronbach)α(> 0.7)确定,并由选定的专家和生产商的思想验证。统计人群是玫瑰水和其他馏出物的传统生产者,其中105人是随机选择的。描述性和推断性统计数据(例如频率,百分比,累积百分比,平均值,最小值,最大值,变异系数和因子分析)用于数据分析。芳香植物加工动机的因素分析结果表明,五个因素(文化信仰,经济,技能,相对优势和创造就业机会)解释了总方差的68%。关于芳香植物加工的问题,五个因素(经济,生产,管理,研究和支持)解释了总差异的74%。

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