Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The aims of this study are to measure the technical efficiency (TE) of Cambodian household’s rice production and its main influencing factors using SFA model. Primary data was collected from 301 rice farmers in three selected districts of Battambang by structured questionnaires. The empirical results indicated the mean TE is 0.34 which means famers produce 34% of rice at best practice at the current level of production inputs and technology, reveling that rice output has the potential of being increased further by 66% at the same level of inputs if farmers had been technically efficient. Evidence also reveals that land, fertilizer, and pesticide are the major influencing input factors of household’s rice production. However, between 2013 and 2015 TE recorded -14.3% decline rate due to highly affected of drought during dry season of 2015.
Linvolak Pich. 2016. \u201cTechnical Efficiency Analysis of Cambodian Households Rice Production\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 16 (GJHSS Volume 16 Issue E3): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 133
Country: China
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Sokvibol Kea, Hua Li, Linvolak Pich (PhD/Dr. count: 0)
View Count (all-time): 147
Total Views (Real + Logic): 3694
Total Downloads (simulated): 1849
Publish Date: 2016 12, Thu
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The aims of this study are to measure the technical efficiency (TE) of Cambodian household’s rice production and its main influencing factors using SFA model. Primary data was collected from 301 rice farmers in three selected districts of Battambang by structured questionnaires. The empirical results indicated the mean TE is 0.34 which means famers produce 34% of rice at best practice at the current level of production inputs and technology, reveling that rice output has the potential of being increased further by 66% at the same level of inputs if farmers had been technically efficient. Evidence also reveals that land, fertilizer, and pesticide are the major influencing input factors of household’s rice production. However, between 2013 and 2015 TE recorded -14.3% decline rate due to highly affected of drought during dry season of 2015.
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