scholarly journals Precision agriculture technology adoption and technical efficiency

Author(s):  
Nathan D. DeLay ◽  
Nathanael M. Thompson ◽  
James R. Mintert
2017 ◽  
Vol 8 (2) ◽  
pp. 708-712 ◽  
Author(s):  
N. J. Miller ◽  
T. W. Griffin ◽  
J. Bergtold ◽  
I. A. Ciampitti ◽  
A. Sharda

Precision agriculture technologies have been adopted individually and in bundles. A sample of 348 Kansas Farm Management Association farm-level observations provides insight into technology adoption patterns of precision agriculture technologies. Estimated transition probabilities shed light on how adoption paths lead to bundling of technologies. Three information intensive technologies were assigned to one of eight possible bundles, and the sequence of adoption was examined using Markov transition processes. The probability that farms remain with the same bundle or transition to a different bundle by the next time period are reported. Farms with the complete bundle of all three technologies were likely to persist with their current technology.


2021 ◽  
Vol 14 (11) ◽  
pp. 524
Author(s):  
Guang Tian ◽  
Xiaoxue Du ◽  
Fangbin Qiao ◽  
Andres Trujillo-Barrera

Although the benefits of genetically modified (GM) crops have been well documented, how do farmers manage the risk of new technology in the early stages of technology adoption has received less attention. We compare the total factor productivity (TFP) of cotton to other major crops (wheat, rice, and corn) in China between 1990 and 2015, showing that the TFP growth of cotton production is significantly different from all other crops. In particular, the TFP of cotton production increased rapidly in the early 1990s then declined slightly around 2000 and rose again. This pattern coincides with the adoption of Bt cotton process in China. To further investigate the decline of TFP in the early stages of Bt cotton adoption, using aggregate provincial-level data, we implement a TFP decomposition and show that the productivity of GM technology is higher, whereas the technical efficiency of GM technology is lower than that of traditional technologies. Especially, Bt cotton exhibited lower technical efficiency because farmers did not reduce the use of pesticide when they first started to adopt Bt cotton. In addition, we illustrate the occurrence of a learning process as GM technology diffuses throughout China: after farmers gain knowledge of Bt cotton, pesticide use declines and technical efficiency improves.


2021 ◽  
Vol 4 (1) ◽  
pp. 118-132
Author(s):  
Emmanuel Dokyi ◽  
Benjamin Tetteh Anang ◽  
Victor Owusu

Abstract Improved seed is one of the crucial ingredients for promoting agricultural productivity, farmers’ livelihood, and global food security. The present study uses an endogenous treatment regression model (ETRM) to evaluate the impacts of improved seed maize technology (ISMT) adoption on technical efficiency and productivity using data from maize farmers in northern Ghana. The findings show that ISMT adoption impacts positively on technical efficiency. Adoption of ISMT enhanced technical efficiency by 16.1% and increased maize productivity by 33.8%. The study recommends dissemination of improved maize seeds to farmers and other interventions such as provision of fertilizer to enhance farmers’ technical efficiency and productivity.


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