@article{Adjognon:210934,
      recid = {210934},
      author = {Adjognon, Serge and Liverpool-Tasie, Lenis},
      title = {Spatial Neighborhood Effects in Agricultural Technology  Adoption: Evidence from Nigeria},
      address = {2015},
      number = {1008-2016-80340},
      pages = {15},
      year = {2015},
      abstract = {This paper uses plot level data to analyze network effects  on the adoption of a targeted fertilizer application  technique amongst rice producers in Niger State, Nigeria. A  Spatial Durbin Model (SDM) of farmers’ probability of using  the Urea Deep Placement (UDP) technology is estimated using  a Spatial Instrumental Variable Probit estimation approach.  The results reveal the existence of significant and  positive spatial correlation in rice farmers’ adoption of  UDP in the study area. These results have important  implications for the design of appropriate and cost  effective extension programs, in order to facilitate the  diffusion of agricultural technologies in developing  countries.},
      url = {http://ageconsearch.umn.edu/record/210934},
      doi = {https://doi.org/10.22004/ag.econ.210934},
}