Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 432074
Title Household Determinants of Tree Planting on Farms in Rural Rwanda
Author(s) Ndayambaje, J.D.; Heijman, W.J.M.; Mohren, G.M.J.
Source Small-scale Forestry 11 (2012)4. - ISSN 1873-7617 - p. 477 - 508.
DOI https://doi.org/10.1007/s11842-012-9196-0
Department(s) Forest Ecology and Forest Management
Agricultural Economics and Rural Policy Group
PE&RC
WASS
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) discriminant-analysis - agroforestry practices - logistic-regression - adoption - management - systems - gender - nepal - technology - prediction
Abstract In Rwanda, trees on farms are widely recognized for increasing and diversifying farm productivity while releasing pressure on existing forests. However, the motivation of rural households to plant trees on farms is often unclear. This study evaluates rural households demographic and socio-economic characteristics, as well as their attitudes, that influence the presence of trees on farms. Data used in this study were collected from a survey of 480 households across three altitude regions of Rwanda. Binary logistic regression analysis using PASW Statistics was applied to determine relevant predictor variables for the presence of trees on farms. The results show regional variation in explaining the presence of trees on farms. When data from the three regions were analysed together, significant predictor variables comprise the gender of head of the household, the number of salaried members of the households, the amount of farm fuelwood, the number of meals per day, the geographical location of the households and the selling of tree products. The presence of different tree species on farms was driven by economic factors, of which availability of food, firewood, and poles, and total income were most common. The results of the study imply that policy measures that target food security and income diversification in rural areas may, at the same time, enhance tree planting. Moreover, it is concluded that rural development and extension in agriculture should be site specific, to account for biophysical conditions and specific rural household motivations to plant trees on farms.
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.