Impact of Labour Migration on Farm Efficiency: A Study of Maize Farming in Northern Thailand

2009 ◽  
Vol 19 (2) ◽  
pp. 1-16 ◽  
Author(s):  
Phanin Nonthakot ◽  
Renato Villano
2005 ◽  
Vol 161 (2) ◽  
pp. 416-431 ◽  
Author(s):  
Efthalia Dimara ◽  
Christos J. Pantzios ◽  
Dimitris Skuras ◽  
Kostas Tsekouras
Keyword(s):  

2020 ◽  
Vol 12 (3) ◽  
pp. 12-23
Author(s):  
T. Sreethong ◽  
C. Prom-u-thai ◽  
B. Rerkasem ◽  
B. Dell ◽  
S. Jamjod

2021 ◽  
Vol 53 (4) ◽  
pp. 357-367
Author(s):  
Adedeji OGUNWUSI ◽  
Ivie OLAGHERE ◽  
Olubunmi OMOTESHO

The essence of this study was to examine the land ownership pattern in Osun State, Nigeria, with a view to assessing its effect on the technical efficiency of the farms. Precisely, the farm efficiency level was estimated; factors that determine farm efficiency were identified, and the impact of land ownership on-farm efficiency was also assessed. A three-stage random sampling was used to select 144 respondents. Data collected using a pretested interview schedule was subjected to descriptive statistics, stochastic production frontier function, and average treatment effect. The results show that land ownership by absolute interest accounted for about 65% of the farmers. The mean technical efficiency level of the farms was 47%. Farm size and labour are necessary factors to be increased to have increased output. The non-access to credit and land ownership by absolute interest constituted to technical inefficiency of the farms. Similarly, ownership of farmland by absolute interest reduced efficiency by 24% among sampled farmers and 25.5% among owners of farmland. The study, therefore, suggested that farm size should be increased, and credit facilities are made available to farmers to facilitate the acquisition of necessary inputs to increase output given the existing technology. This can be by way of making accessible to food crop farmers, lands belonging to the government, which are currently not in use.


2019 ◽  
Author(s):  
Amelia A.A. Fox

Precision agriculture is meant to improve on-farm efficiency in hopes of ultimately increasing profitability while also protecting the environment. However, this difficult process almost always includes the proper management and interpretation of data. Therefore, it is imperative that those individuals involved in making such decisions are educated on these processes. In a data-driven world, this textbook is a great resource for those wanting to learn how to utilize their data in hopes of making better informed on-farm decisions.


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