International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 73

Research Paper | Statistics | India | Volume 9 Issue 11, November 2020


Agricultural Land Distribution among Scheduled Castes in Maharashtra State

Nita Regade


Abstract: Maharashtra is considered as one of the most progressive and developed state in India. It is a leading State in agriculture. Agriculture is the largest provider of livelihood in rural India. Land is considered as an important resource as it provides habitation to a wide variety of flora and fauna. Land is not only prime source of income but also a symbol of social status in rural India. The Scheduled Castes (SCs) are poorest of the poor section not only in Maharashtra but also across India. The land distribution pattern for Scheduled castes in Maharashtra in agriculture continues to be skewed. As small number of Scheduled Castes own a large & medium extents of land while large number of Scheduled Castes own marginal and small extents of land. The government of Maharashtra has also implemented Karmveer Dadasaheb Gaikwad Empowerment and Self Respect Scheme for landless Scheduled castes. In this context an attempt has been made in this paper to examine Scheduled castes access to land in Maharashtra.


Keywords: Caste, Operational Land Holding, Skewed distribution, Karmveer Dadasaheb Gaikwad Empowerment, Self Respect Scheme by Govt of Maharashtra


Edition: Volume 9 Issue 11, November 2020,


Pages: 1094 - 1098


How to Cite this Article?

Nita Regade, "Agricultural Land Distribution among Scheduled Castes in Maharashtra State", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR201118155544, Volume 9 Issue 11, November 2020, 1094 - 1098

How to Share this Article?

Enter Your Email Address


Similar Articles with Keyword 'Caste'

Downloads: 47

Research Paper, Statistics, Rwanda, Volume 6 Issue 10, October 2017

Pages: 913 - 918

Forecasting Drought in Rwanda Using Time Series Approach Case Study: Bugesera District

Gashumba Kaminuza Pascal; Dr. Joseph K. Mung'atu

Share this Article

Downloads: 59

Research Paper, Statistics, Kenya, Volume 7 Issue 6, June 2018

Pages: 121 - 126

Modelling Extreme Maximum Rainfall Using Generalized Extreme Value Distribution: Case Study Kigali City

Uwimana Oliver; Joseph K. Mung'atu

Share this Article
Top