Skip to page content
USDA Forest Service
  
Treesearch

Research & Development Treesearch

 
Treesearch Home
About Treesearch
Contact Us
Research & Development
Forest Products Lab
International Institute of Tropical Forestry
Northern
Pacific Northwest
Pacific Southwest
Rocky Mountain
Southern Research Station
Help
 

GeoTreesearch


Science.gov - We Participate


USA.gov  Government Made Easy


Global Forest Information Service

US Forest Service
P.O. Box 96090
Washington, D.C.
20090-6090

(202) 205-8333

You are here: Home / Search / Publication Information
Bookmark and Share

Publication Information

(3.41 MB bytes)

Title: Analyzing ex-ante agroforestry adoption decisions with attributebased choice experiments

Author: Mercer, Evan; Snook, Ann

Date: 2004

Source: Valuing Agroforestry Systems, 237-256

Publication Series: Miscellaneous Publication

Description: Although many cases of successful agroforestry extension efforts exist (for examples, see Chapter 2), all too often attempts to promote agroforestry have resulted in low adoption rates, with farmers reluctant to adopt new or improved agroforestry systems or abandoning agroforestry shortly after establishment. As a result, the recent increase in research on the adoption of agroforestry innovations has been motivated largely by the perceived gaps between advances in agroforestry science and extension (Mercer, in press). The theoretical and empirical literature on adoption of agroforestry innovations has been reviewed by Pattanayak, Mercer, Sills, and Yang (2003) and Mercer (in press). Significant progress has been made, especially in using binary choice regression models for ex-post analyses to examine how past adoption decisions are correlated with variables describing farmers, their farms, demographics and socio-economic conditions. These ex-post analyses have been useful for increasing our understanding of who adopts first, identifying communities and households to target as potential early adopters, and developing policies to promote agroforestry. However, the ex-post, binary choice regression studies have contributed little to the problem of designing agroforestry systems that appeal to potential adopters because they are not able to examine how farmer preferences vary for different combinations of characteristics of agroforestry alternatives.

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
  • You may send email to pubrequest@fs.fed.us to request a hard copy of this publication. (Please specify exactly which publication you are requesting and your mailing address.)

XML: View XML

Citation:


Mercer, Evan; Snook, Ann 2004. Analyzing ex-ante agroforestry adoption decisions with attributebased choice experiments. Valuing Agroforestry Systems, 237-256

 


 [ Get Acrobat ]  Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

USDA logo which links to the department's national site. Forest Service logo which links to the agency's national site.