scholarly journals A Spatial Econometric Approach to Designing and Rating Scalable Index Insurance in the Presence of Missing Data

2016 ◽  
Vol 41 (2) ◽  
pp. 259-279 ◽  
Author(s):  
Joshua D Woodard ◽  
Apurba Shee ◽  
Andrew Mude
Keyword(s):  
Missing Data ◽  
Index Insurance ◽  
Spatial Econometric ◽  
Econometric Approach

The peer effect of training on farmers' pesticides application: a spatial econometric approach

2020 ◽  
Vol 12 (3) ◽  
pp. 481-505
Author(s):  
Li Zhou ◽  
Fan Zhang ◽  
Shudong Zhou ◽  
Calum G. Turvey
Keyword(s):  
Peer Effects ◽  
Spillover Effects ◽  
Technical Training ◽  
Pesticide Use ◽  
Spatial Econometric ◽  
Agricultural Technologies ◽  
Content Type ◽  
Spatial Econometric Models ◽  
Estimated Parameters ◽  
Econometric Approach

PurposeThe purpose of this paper is to examine the relationships of technical training and the peer effects of technical training with farmers' pesticide use behaviors.Design/methodology/approachThis study uses survey data from 300 peanut growers in Zoucheng County, Shandong, China, in 2016 and employs spatial econometric models to examine the relationships of technical training and the peer effects of technical training with farmers' pesticide use behaviors.FindingsThis paper reveals that important peer effects can be channeled through technical training and that these peer effects are sufficiently significant to encourage neighboring farmers to reduce the amount of pesticide use, to transform the structure of pesticide use, and to increase the usage amount of low-toxicity, low-residue pesticide use per hectare. The estimated parameters for the peer effects from technical training are significantly larger than those from technical training alone, which suggests that the technical training of neighboring farmers plays a greater role than technical training for farmers individually.Originality/valueThe research finds that technical training within smaller, localized, groups can induce previously unobservable spillover effects, and this provides a scientific, theoretical and empirical justification for agricultural technology extension that can lead to a rapid, effective transformation of applying new agricultural technologies in an environmentally sensitive and economically sustainable manner.

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