Smart Farming in Thailand

Supalin Tiammee, Jirapohn Wongyai, Piyachat Udomwong, Aniwat Phaphuangwittayakul, Lampang Saenchan, Somsak Chanaim
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引用次数: 1

Abstract

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.
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泰国的智慧农业
泰国的经济增长依赖于农业。泰国大约30%到40%的就业人口在农业部门,但这群人的收入不足以维持日常支出。在本研究中,我们提出了泰国农业的两种生产函数:有企业家精神和没有企业家精神。农业企业家精神的定义是基于熊彼特框架的。在第一个模型中,将Cobb- Douglas生产函数应用于没有企业家精神的农业生产,并将随机前沿分析作为估计技术来估计参数。在第二个模型中,企业家精神变量是土地、资本和劳动力投入的一部分。使用最大似然估计来找到估计的参数。结果表明,有企业家精神的发达生产函数的规模收益大于没有企业家精神的发达生产函数的规模收益。
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