Occupational Structure of Population in the Malaprabha River Basin, Karnataka State, India; A Geographical Approach
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.1.14Keywords:
WPRs, Farm and Non-Farm Sectors, Cultivators, Agricultural Labors and Distribution of Males and Females WorkersDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Changes in the size, composition, and distribution of the population are closely associated with the demographic structure of the workforce. On the other hand, the workforce participation rates vary according to the stages of economic development, across cultures, age groups, and between sexes (R. B. Bhagat and K. C. Das, 2008). It is an indicator of a growing society (Pant, 1992). Thus, occupational structure is the most important demographic aspect in explaining the economic well-being structure of the inhabitantsof the region. The occupational structure, in turn, is influenced by the participation rates and related features, such as the growth and levels of farm and rural non-farm activities. An attempt is made in this study to examine the emerging trends in the occupational structure of the population in the Malaprabha River Basin area from 1971 to 2011. More specifically, the spatio-temporal analysis of the work participation rates in total and farm sectors among males and females in the talukas of the study area This study is based upon secondary sources of data, and though the study area is a natural region, the talukas or tehsils have been taken as units of study. The findings suggest that there are undoubtedly significant changes in work participation rates between farm and non-farm sectors and between males and females in the study area. To overcome this context, some developmental policies such as youth employment is one of the prime focus areas of SHGs. This can bring prosperity to workers in far-off rural areas.Abstract
How to Cite
Downloads
Similar Articles
- D. Padma Prabha, C. Victoria Priscilla, A combined framework based on LSTM autoencoder and XGBoost with adaptive threshold classification for credit card fraud detection , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Abhinav Prakash Yadav, Shubham Gudadhe, Sarika Kumari, Ratna Shukla, Manikant Tripathi, Awadhesh Kumar Shukla, Impact of heavy metals assessments on the physiological aspects of spinach plant (Spinacia oleracea L.) , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- P N Tripathi, Ved Prakash Tripathi, Swapnil Raj Dubey, Conservation Needs of Freshwater Fin-Fish Genetic Resources , The Scientific Temper: Vol. 7 No. 1&2 (2016): THE SCIENTIFIC TEMPER
- P.L. Parmar, P.M George, Effect of process parameters on concentricity in CNC turning operation using design of experiment , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- R. Chandra, R. P. Singh, B. K. Prasad, Effect of Genotype and Explant on Shoot Regeneration in Brassica juncea , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- Navjot Singh, Sultan Singh, Demographic perception of customers towards dairy marketing practices: An empirical study , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- C. Muruganandam, V. Maniraj, A Self-driven dual reinforcement model with meta heuristic framework to conquer the iot based clustering to enhance agriculture production , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Ekta Singh, Ekta Rani, Trends and Determinants of Mergers and Acquisitions in the Manufacturing Sector in India , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Jyoti Kataria, Himanshi Rawat, Himani Tomar, Naveen Gaurav, Arun Kumar, Azo Dyes Degradation Approaches and Challenges: An Overview , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Prabu Gopal, M. Jeyaseelan, Familial support of rural elderly in indian family system: A sociological analysis , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 10 11 12 13 14 15 16 17 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Suresh L. Chitragar, Measurement of agricultural productivity and levels of development in the Malaprabha river basin, Karnataka, India , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper

