Search

In any higher education institution, the discussions on admission-related stress have always focused on the interviewee. There are limited studies examining stress experienced by the academician while conducting the admission process. This study addresses this gap in the literature by examining various aspects of stress and coping mechanisms adopted by faculty. An interpretive phenomenological analysis is chosen to understand the meaning ascribed by the faculty to their experience of stress. A total of 22 participants were interviewed for the study. In-depth interviews were conducted with the faculty using a semi-structured questionnaire; addressing the cause of stress, the consequence of stress, and coping mechanisms adopted by faculty to tackle stress. The study highlighted factors such as perceived competency, interpersonal dynamics, time management and brand management, which stressed academicians and caused physical and psychological discomfort. To deal with stress, faculty adopted measures ranging from seeking social support and creating mental boundaries. Findings from the study can be leveraged by higher education institutions to design measures to tackle the occupational stress of faculty arising out of non-academic activities. [ABSTRACT FROM AUTHOR]

The paper attempts to include land as an input in the KLEMS-type production function and estimate agricultural total factor productivity growth (TFPG) for India. For doing so, land quality is accounted for by assigning weights to different land types: irrigated, rainfed and fallow. The estimates suggest that the rate of agricultural TFPG was 0.8 per cent per annum between 1980 and 2019 without accounting for land. However, it increased to 2.0 per cent and 1.8 per cent per annum with the inclusion of land and land quality, respectively. The growth accounting decomposition shows that the contribution of TFPG to agricultural output growth increased from 48 per cent in the 1980s to 78 per cent in the 2010s. Examination of the drivers of agricultural TFPG through an Autoregressive Distributed Lagged (ARDL) model suggests that public gross capital formation (GCF) stock, research and development, mechanisation in agriculture, and favourable terms of trade significantly improve agricultural productivity in India. [ABSTRACT FROM AUTHOR]