巴都拉地区小农茶树品种选择的判别因素:多元判别分析

Thayaparan A., Muhandiram M.M.N.
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摘要

本研究采用多元判别分析,考察八都拉地区不同茶小农群体在人口统计学和耕作特征方面是否存在显著差异,并找出影响不同茶树品种选择的显著因素。数据是在2019年11月至12月期间收集的,从该地区Uva地区的Badulla、Haliela和Bandarawela三个主要产茶区随机抽取了108名茶农样本。频率分析显示,43.5%的茶农选择VP 20/25品种,29.6%的茶农选择VP 20/23品种,26.9%的茶农选择CY 9品种。多元判别分析表明,各茶树品种产量和各茶树品种价格是主要判别变量,也是茶树品种选择的重要影响因素。Fisher线性判别函数结果表明,随着产量的增加,茶叶小农更倾向于选择VP20/25和VP20/23品种,而不太可能选择CY9品种。同样,随着茶叶品种价格的上涨,他们更倾向于采用CY9品种,而不是其他两个品种。分类结果表明,56%的被调查者被正确地划分为三个不同的茶小农群体,并且CY9(96.6%)和VP 20/23(62.5%)的估计判别函数分类准确率高于研究中的另一个群体。研究结果可以帮助茶小农了解茶树品种选择的关键因素,指导政策制定者在未来采取有效的措施。关键词:茶树品种选择,人口统计学与耕作特征,Fisher线性判别函数,多元判别分析,茶农
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DISCRIMINANT FACTORS IN THE CHOICES OF TEA PLANT CULTIVARS AMONG SMALLHOLDERS IN BADULLA DISTRICT: MULTIPLE DISCRIMINANT ANALYSIS
This study employed multiple discriminant analysis to examine whether significant differences exist among the different group of tea smallholders in terms of their demographic and farming characteristics and to identify the significant factors influencing in the selection of different tea plant cultivars in Badulla district. The data were collected during the period November to December in 2019 and a sample of 108 tea smallholders has been randomly selected from three major tea producing regions namely  Badulla, Haliela and Bandarawela divisions of the Uva region in the district. Frequency analysis reveals that, 43.5% of the tea smallholders chose VP 20/25 while 29.6% and 26.9% of them chose VP 20/23 and CY 9 cultivars respectively. Multiple discriminant analysis showed that, output from each tea plant cultivars and prices of each tea cultivar were the major discriminating variables as well as important influencing factors in selecting tea plant cultivars. Results of Fisher's linear discriminant functions revealed that as output increases, tea small holders are more likely to choose the cultivars VP20/25 and VP20/23 while less likely to select the CY9 cultivar. Similarly, as the price of the tea cultivar increases, they are more likely to adopt the CY9 cultivar than  other two in the study. The classification results revealed that 56% of the respondents were correctly classified into three different groups of tea smallholders and the estimated discriminant functions for CY9 (96.6%) and VP 20/23(62.5%) were classified with better accuracy than another group in the study. The findings of the study may assist the tea smallholders in understanding the critical factors in the selection of tea plant cultivars and guide the policymakers to take effective measures in the tea sector in the future.   Keywords: Choices of Tea Plant Cultivars, Demographic and Farming Characteristics, Fisher's Linear Discriminant Functions, Multiple Discriminant Analysis, Tea Smallholders
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