Title: SPATIAL PATTERNS OF ECONOMIC DEVELOPMENT OF
SCHEDULED CASTE IN JAMMU PROVINCE (2011)
Authors: Gaggan Kumar
, Gurleen Kour
|| ||
Gaggan Kumar1
, Gurleen Kour2
1. Ph.D Research Scholar (Senior Research Fellow), Department of Geography,
University of Jammu-180006, (J&K), India 2. Post Graduate in Geography, Department of Geography,
University of Jammu-180006, (J&K), India
MLA 8 Kumar, Gaggan, and Gurleen Kour. "SPATIAL PATTERNS OF ECONOMIC DEVELOPMENT OF SCHEDULED CASTE IN JAMMU PROVINCE (2011)." Int. j. of Social Science and Economic Research, vol. 4, no. 5, May 2019, pp. 3449-3459, ijsser.org/more2019.php?id=258. Accessed May 2019.
APA Kumar, G., & Kour, G. (2019, May). SPATIAL PATTERNS OF ECONOMIC DEVELOPMENT OF SCHEDULED CASTE IN JAMMU PROVINCE (2011). Int. j. of Social Science and Economic Research, 4(5), 3449-3459. Retrieved from ijsser.org/more2019.php?id=258
Chicago Kumar, Gaggan, and Gurleen Kour. "SPATIAL PATTERNS OF ECONOMIC DEVELOPMENT OF SCHEDULED CASTE IN JAMMU PROVINCE (2011)." Int. j. of Social Science and Economic Research 4, no. 5 (May 2019), 3449-3459. Accessed May, 2019. ijsser.org/more2019.php?id=258.
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Abstract: Objectives: The main objective is to assess the spatial patterns of economic development of the
most marginalised community that is scheduled caste in Jammu province. This is a census based
study based on census of 2011 where tehsil constitute a unit of study.
Methods/Statistical Analysis: To achieve the above objectives secondary data from Primary
Census Abstract SC, Jammu and Kashmir and Agriculture Census Division, DAC, 2011 has been
used. The software of ArcGIS 10.5 has been used to prepare choropleth maps to present the
spatial pattern of workforce among scheduled caste. Five indicators have been selected for
assessing the spatial patterns of levels of economic development like Main Work Participation
Rate, Other Workers, Non-Agricultural Population, Net Cultivated Area and Agricultural
Intensity. Standard Scores and Composite Standard Score have been obtained by normalising the
values to gauge economic development. Findings: High economic development is found in the tehsils of Jammu and samba districts
including tehsil Banihal. These tehsils have high composite score of economic indicators due to
high social development, urbanization, industrial development because of industrial complexes
found in Samba and Jammu district, developed agriculture, better means of employment
opportunities etc. Only five tehsils from the entire Jammu province have low economic
development namely Bhaderwah, Rajouri, Kathua, Nowshehra and Udhampur. Geographically
they are located within the periphery of tehsils of the first category.
Application: The tehsils with low economic development may be declared as backward regions
for scheduled caste. But the role of the government does not finish just by declaring various tehsils as backward, rather more effective, comprehensive and timely policies need to be framed.
The state may make provision for sub-quota to these backward tehsils from the existing quota.
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