Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/59128
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dc.contributor.authorXi Aien_US
dc.contributor.authorJianxu Liuen_US
dc.contributor.authorJirakom Sirisrisakulchaien_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2018-09-05T04:38:50Z-
dc.date.available2018-09-05T04:38:50Z-
dc.date.issued2018-07-26en_US
dc.identifier.issn17426596en_US
dc.identifier.issn17426588en_US
dc.identifier.other2-s2.0-85051360751en_US
dc.identifier.other10.1088/1742-6596/1053/1/012101en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85051360751&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/59128-
dc.description.abstract© Published under licence by IOP Publishing Ltd. Agriculture plays an important role in Chinese economy. This study aims to analyze the agricultural technical efficiency of top 10 agricultural provinces in China. Also, a classical Stochastic Frontier Model (SFM) and a Stochastic Frontier Model (SFM) with entropy are applied in to this study. In our empirical results, we find that the Stochastic Frontier Model (SFM) with entropy is much better than the classical SFM in terms of economic interpretation. From the perspective of technical efficiency, Guangdong Province has been approaching the frontier of agricultural technology efficiency in the past six years. From a national perspective, this means that there is still much room for improvement in technical efficiency and productivity in other provinces. Therefore, we suggest that provinces with technical inefficiency should learn from sample provinces to increase agricultural productivity.en_US
dc.subjectPhysics and Astronomyen_US
dc.titleTechnical efficiency analysis of major agriculture production provinces in China: A stochastic frontier model with entropyen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleJournal of Physics: Conference Seriesen_US
article.volume1053en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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