scholarly journals Peer Irrigators and the Choice of Field Management and Water Control Practices for Irrigation in Arkansas

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2473
Author(s):  
Victoria Bailey ◽  
Kent Kovacs ◽  
Christopher Henry ◽  
Qiuqiong Huang ◽  
Larry J. Krutz

We examined how irrigation techniques in use by family and friends influence the use and share of land utilizing different irrigation techniques by Arkansas producers. A bivariate sample selection model simultaneously estimated how farm characteristics determine the use and explain the share of a farm that utilizes an irrigation technique. We found that the irrigation techniques in use by family and friends do affect the irrigation techniques a producer uses and the share of acres utilizing different irrigation techniques. A producer with a family or friend that uses end-blocking irrigation is 41% more likely to use end-blocking themselves. Having a family or friend who uses pivot irrigation technology tends to decrease the share of irrigated acres that utilizes end block irrigation by 0.211. We also found that when the irrigation techniques in use by family and friends interact with variables such as location and participation in a regional conservation partnership program, the effects on the producer’s decision vary. The share of irrigated acres that use cutback irrigation decreases by 0.21 for a producer who has a peer that uses irrigation scheduling. However, if the producer lives along Crowley’s Ridge and has a peer that uses irrigation scheduling, the share of irrigated acres that use cutback irrigation decreases by an additional 0.54.

Agribusiness ◽  
2020 ◽  
Vol 36 (2) ◽  
pp. 192-207
Author(s):  
Marius Michels ◽  
Wilm Fecke ◽  
Jan‐Henning Feil ◽  
Oliver Musshoff ◽  
Frederike Lülfs‐Baden ◽  
...  

2002 ◽  
Vol 18 (1) ◽  
pp. 40-50 ◽  
Author(s):  
Marcia M.A. Schafgans ◽  
Victoria Zinde-Walsh

We provide a proof of the consistency and asymptotic normality of the estimator suggested by Heckman (1990, American Economic Review 80, 313–318) for the intercept of a semiparametrically estimated sample selection model. The estimator is based on “identification at infinity,” which leads to nonstandard convergence rate.


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