Skip to content
Research Article Open access CC BY 4.0

Perception of the Cotton Growers of Telangana State towards Climate Variability and Correlation with Their Profile

Mahesh, L., Ahire, R.D., Deshmuck P,R., Venkateshwar Rao, N.

International Journal of Environment and Climate Change · pp. 751–757 · Published 12 Sep 2024

10.9734/ijecc/2024/v14i94452

Abstract

The present research conducted in Adilabad and Mahabubnagar districts of Telangana state was purposively selected for the study. An ex-post facto research design was adopted in the present investigation. The study was conducted in twelve villages selected from two manuals of each district, which included 20 farmers from each of the selected villages, a sample of 240 farmers was selected for the study by simple random sampling method. This study examines the responses and coping strategies of affected communities in these districts to climate variability. The analysis of the perception of the cotton growers indicates that the majority of the respondents had a medium (58.33%) level of perception followed by low (24.17% and high (17.50%) levels of perception. Age, farming experience, land-holding family size, achievement, credit and subsidy orientation and risk orientation were positively and significantly related to the perception of the cotton growers in combating climate variability. Annual income, extension contact, social participation, and Cosmo politeness preparedness to adaptation showed a non-significant relationship with the perception of cotton growers towards climate variability.

Perception profile cotton growers ex-post facto

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

9

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.