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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 8, Issue 3 (2019)

Factors determining forestry adaptation level among tribal farmer’s in kolli hills

Author(s):

V Keerthana and TR Shanmugam

Abstract:
Forests play a role in the adaptation of broader society and on the most effective investments to assist farmers strengthen factors (media, extension officials, neighboring farmers, age, experience of the farmer, education level of the household head, gender, temperature, water availability, rainfall, farm income and credit availability) influencing their choice of adaptation measures. This study uses the Heckman Probit Model to analyze the two-step process of adaptation measures to forestry, which initially assesses a farmer’s perception about forestry and followed by an examination of the response to this perception form of adaptation. Simple purposive random sampling was used to select the farmers out of six revenue villages of kolli hills. The dependent variables are adaptation measures perceived by farmers, where the independent variables are those natural, socio-economic, institutional and physical factors influencing the choice of these measures. The results indicate that media, information from neighbouring farmers, experience of farmers and rainfall are significant variables which influences the awareness of farmers about forestry. Variables that significantly affect adaptation decision are water availability, credit availability, education level of farmer and land holding size. Being non- significant, variables like age, gender, guidance from government officials, low temperature and farm income are not affecting the decision criteria of farmer.

Pages: 2310-2312  |  725 Views  184 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
V Keerthana and TR Shanmugam. Factors determining forestry adaptation level among tribal farmer’s in kolli hills. J Pharmacogn Phytochem 2019;8(3):2310-2312.

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