Factors Affecting Farmers Decision to Join Joint Forest Management Programme in Jammu Division of Jammu and Kashmir
Tariq Iqbal *
Division of Agriculture Extension Education, FoA, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India.
P. S. Slathia
Division of Agriculture Extension Education, FoA, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India.
Rajinder Peshin
Division of Agriculture Extension Education, FoA, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India.
Sandeep Sehgal
Division of Agro-Forestry, FoA, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India.
Manish Kumar Sharma
Division of Statistics and Computer Applications, F.B.Sc, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India.
Kiran Kour
Division of Fruit Science, FoA, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India.
*Author to whom correspondence should be addressed.
Abstract
The present study was conducted in purposively selected “East Forest Circle” of Jammu division of J&K. Multistage sampling plan was followed for the selection of respondents. Six forest ranges from East circle having maximum number of Joint Management Programme (JFM)Cs were selected purposively. Twenty four committees, four from each selected ranges of East circle and eight members from each selected JFMC were selected through random sampling technique. The respondents were divided into two groups 1).Treatment group: Eight members from each selected JFMC were selected randomly for the study making the sample size to 192 respondents. 2). Control group: Two villages from each range (12 villages in total) were selected through random sampling technique. From each selected village nine non- JFMC members were randomly selected. Thus, a total sample of 108 non-JFMC members were selected from these villages. Binary regression model was applied to analyze the factors affecting farmer’s decision to join JFM programme. The result of the study showed that family size, area under trees, extension contact and social participation significantly affecting farmer’s decision to join JFM programme.
Keywords: Joint forest management, factors, ranges, binary, regression, participation