Estimating Efficiency Effects with a Copula-based Spatial Panel Stochastic Frontier Model: Application in Thai rice Production
Pages 368 - 371
Abstract
The study aims to investigate Thai rice production efficiency with a spatial panel stochastic frontier model based on copula to draft general statistical data for purpose of Thai agriculture development in the future. The empirical results show that land and labor have an indisputably positive and significant effect on rice production. The SFM with Clayton copula has the lowest value regarding BIC. The best average TE score belongs to the central region followed by the northern region, the north-eastern region, and the southern region with their average scores of 0.951, 0.949, 0.944, and 0.941, respectively. The interesting point is that, the largest gap between the highest and the lowest scores provinces lie within central region which has the highest efficiency score, then, followed by northeastern, the northern, and southern regions with their gap values of 0.078, 0.076, 0.074 and 0.051, respectively.
References
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Index Terms
- Estimating Efficiency Effects with a Copula-based Spatial Panel Stochastic Frontier Model: Application in Thai rice Production
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Published In
August 2019
382 pages
ISBN:9781450371926
DOI:10.1145/3358528
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- Shandong Univ.: Shandong University
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Association for Computing Machinery
New York, NY, United States
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Published: 28 August 2019
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ICBDT2019
ICBDT2019: 2019 2nd International Conference on Big Data Technologies
August 28 - 30, 2019
Jinan, China
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