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    <title>DSpace Collection:</title>
    <link>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/81</link>
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        <rdf:li rdf:resource="http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3163" />
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        <rdf:li rdf:resource="http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3160" />
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    <dc:date>2026-04-04T10:37:29Z</dc:date>
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  <item rdf:about="http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3163">
    <title>Modeling tea smallholders adoption decision on tea plant varieties in Sri lanka: Multinomial probit model analysis</title>
    <link>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3163</link>
    <description>Title: Modeling tea smallholders adoption decision on tea plant varieties in Sri lanka: Multinomial probit model analysis
Authors: Muhandiram, M.M.N.; Thayaparan, A.
Abstract: This study was conducted to investigate the impact of tea smallholders’ socio- demographic, 
economic and farming characteristics on their adoption decisions towards three tea plant 
varieties in Badulla district of Sri Lanka. Data used in the study was collected from a survey 
using a multi-stage sampling technique during the period November to December in 2019. 108 
respondents were randomly selected from three major tea producing regions in the district.
Frequency analysis, descriptive statistics, chi-square test and one way ANOVA were used to 
describe the basic features of tea smallholders whereas multinomial probit model was estimated 
to examine the impact of the above characters on adoption decisions on tea plant varieties in 
the study. Among the respondents, 43.5% of the smallholders chose VP 20/25 while 29.6% 
and 26.9% of them chose VP 20/23 and CY9 tea plant varieties respectively. Chi-square test 
revealed that, females are more likely to adopt VP20/23 variety while males more prefer to 
choose VP 20/25 variety in the study. In order to identify the mean differences in yield across 
three tea plant varieties, one way ANOVA was used and its results found that, average yield 
derived from the two varieties namely, VP20/25 and VP 20/23 are the same and they are differ 
from the variety CY9. Estimated results of multinomial probit model showed that, gender, 
secondary education, farming experience, output from the chosen tea plant variety, prices of 
each tea plant variety, types marketing channels and frequency of harvest were major 
determinants on adoption decisions of tea smallholders. Findings of the study recommended 
that government and extension agents should create a favourable environment like training 
facilities, pricing policies and proper marketing channels for further improvement on their 
adoption decisions towards the different types of tea plant varieties in the study area.</description>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3161">
    <title>Determinants of sugarcane production in the monaragala district</title>
    <link>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3161</link>
    <description>Title: Determinants of sugarcane production in the monaragala district
Authors: Thayaparan, A.; Thilakarathna, R.M.T.D.</description>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3160">
    <title>Consumer preferences towards different rice varieties in polonnaruwa district</title>
    <link>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3160</link>
    <description>Title: Consumer preferences towards different rice varieties in polonnaruwa district
Abstract: This study evaluated the factors influencing the consumers’ preferences towards different rice 
varieties as well as identify the association between socio – demographic status and the 
preferences of rice varieties among the respondents in Polonnaruwa district. Data were 
collected from a random sample of 100 households who lives in rural and urban areas in 
Hingurakgoda DS division in the district during the period of May-June 2020. The collected 
data were analysed using frequency, chi – square test, multinomial probit model and its 
marginal effects. Frequency of consumer preferences on rice varieties revealed that, 48% of 
the households preferred Nadu followed by 40% and 12% of them chose samba and raw rice 
respectively. Further, 51% of the households eats rice at twice in a day whereas 42% and 7% 
of them eats rice thrice in a day and once in a day respectively. Results of chi- square test 
suggest that, association between residential places and preferences on rice varieties was higher 
than gender and opinion about the prices of rice. The results further indicated that about 58% 
of the households who lives in rural areas preferred Nadu while nearly 61% of the urban 
households preferred samba. However, nearly 14% and 8% of rural and urban households 
chose raw rice as their preferred rice respectively in the study. The multinomial probit model 
was used to assess the impact of socio – demographic, economic and consumption habits on 
household preferences towards rice varieties. Empirical results of the model indicated that 
among socio – demographic characters, gender, education and residential place whereas among 
economic and consumption habits, concern on price of rice and monthly income were 
significantly influenced on consumers’ preferences on rice varieties in the study. The findings 
of the study would help to the stakeholders in traditional rice industry to understand the 
underlining the patterns of consumers’ preferences towards different rice varieties in 
Polonnaruwa district.</description>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3159">
    <title>Adoption of improved maize varieties and its determinants in  Mahiyangana</title>
    <link>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3159</link>
    <description>Title: Adoption of improved maize varieties and its determinants in  Mahiyangana
Authors: Thayaparan, A.; Thilakarathna, R.M.K.I.D.</description>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </item>
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