{"title":"Socio economic conditions of Tribal women in forest area with predictive analysis through binary logistic regression analysis","authors":"P. Malyadri","doi":"10.26643/gis.v15i1.18702","DOIUrl":null,"url":null,"abstract":"Tribal people are remaining in middle of backward regions, forest areas and mountains and confronting numerous issues because of absence of access to quality medicinal services, monetary help and transportation system. The main aim of this study is to examine the socio economic status of tribal women and analyze income and expenditure pattern of tribal women .In this regard three villages in forest areas of Khammam district had been selected and primary data had been collected from 120 tribal women. The logistic regression analysis had been conducted to know the factors influencing tribal people to access bank loans by tribal people. The major finding of this study is that tribal women with land ownership can improve their socio economic status.. It is found from the predictive analysis that socio economic profile of tribal women can be improved with more enhancement of land ownership. The education facilities and healthcare facilities are not considered by the logistic model for accessing the bank loan by tribal women. The standard of living conditions of tribal women in forest area can be enhanced through entrepreneurship rather than providing employment opportunities.","PeriodicalId":35489,"journal":{"name":"GIS-Business","volume":"63 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GIS-Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26643/gis.v15i1.18702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Tribal people are remaining in middle of backward regions, forest areas and mountains and confronting numerous issues because of absence of access to quality medicinal services, monetary help and transportation system. The main aim of this study is to examine the socio economic status of tribal women and analyze income and expenditure pattern of tribal women .In this regard three villages in forest areas of Khammam district had been selected and primary data had been collected from 120 tribal women. The logistic regression analysis had been conducted to know the factors influencing tribal people to access bank loans by tribal people. The major finding of this study is that tribal women with land ownership can improve their socio economic status.. It is found from the predictive analysis that socio economic profile of tribal women can be improved with more enhancement of land ownership. The education facilities and healthcare facilities are not considered by the logistic model for accessing the bank loan by tribal women. The standard of living conditions of tribal women in forest area can be enhanced through entrepreneurship rather than providing employment opportunities.
GIS-BusinessEarth and Planetary Sciences-Earth and Planetary Sciences (all)
自引率
0.00%
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0
期刊介绍:
GIS Business with ISSN no. 1430-3663 is bimonthly UGC Approved journal for publication of research papers related to planning, managment, GIS, geography, geology, geoinformatics, earth sciences, remote sensing, satellites, GPS, coodinate systems, urban planning, spatial studies, human settlements, and many more related subjects. Remote sensing is the art and science of making measurements of the earth using sensors on airplanes or satellites and geographic information system (GIS) is a computer-based tool for mapping and analyzing feature events on earth. It integrates common database operations, such as query and statistical analysis, with maps. The open access journal GIS Business is a scientific journal that includes a wide range of fields in its discipline and reports the acquisition of information about an object or phenomenon without making physical contact with the object. It allows to view and analyse multiple layers of spatially related information associated with a geographic region/location. It publishes all concerned research findings and discoveries pertaining to the ingredients and their mode of therapeutic nature to create a platform for the authors to make their contribution towards the journal.