Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/67719
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dc.contributor.authorSupalin Tiammeeen_US
dc.contributor.authorJirapohn Wongyaien_US
dc.contributor.authorPiyachat Udomwongen_US
dc.contributor.authorAniwat Phaphuangwittayakulen_US
dc.contributor.authorLampang Saenchanen_US
dc.contributor.authorSomsak Chanaimen_US
dc.date.accessioned2020-04-02T15:01:52Z-
dc.date.available2020-04-02T15:01:52Z-
dc.date.issued2019-08-01en_US
dc.identifier.other2-s2.0-85081063794en_US
dc.identifier.other10.1109/SKIMA47702.2019.8982525en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081063794&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/67719-
dc.description.abstract© 2019 IEEE. Thailand's economic growth depends on agriculture. Roughly 30 to 40 percents of the total employment in Thailand is in the agricultural sector, but this group of people do not earn enough to spend on a daily basis. In this study, we proposed two production functions for Thai agriculture: with and without entrepreneurships. Entrepreneurship in agriculture is defined based on Schumpeter framework. In the first model, the Cobb- Douglas production function is applied to agricultural production without entrepreneurship and the stochastic frontier analysis is applied as an estimation technique to estimate the parameters. In the second model, the entrepreneurship variable is part of land, capital and labor inputs. Maximum likelihood estimation is used to find the estimated parameters. The results show that the returns to scale obtained from the developed production function with entrepreneurship are greater than those obtained from the production function without entrepreneurship.en_US
dc.subjectComputer Scienceen_US
dc.subjectDecision Sciencesen_US
dc.titleSmart farming in Thailanden_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2019 13th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019en_US
article.stream.affiliationsChiang Mai Rajabhat Universityen_US
article.stream.affiliationsThaksin Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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