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Scholars Journal of Economics, Business and Management | Volume-3 | Issue-07
A Comparative Study between Non Swarnajayanti Gram Swarozgar Yojana and Swarnajayanti Gram Swarozgar Yojana Self Help Group- Bank Linkage Program in India
Satya Ranjan Doley
Published: July 30, 2016 | 116 60
DOI: 10.36347/sjebm.2016.v03i07.005
Pages: 391-399
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Abstract
The Swarnajayati Gram Swarozgar Yojana (SGSY) is a program for the poor promoted by the Government that primarily focuses on group approach like Self Help Group (SHGs) which are linked with bank. The objective of the study is to make comparative study of the cyclical variation in the time series data between SGSY SHG- BL program and non SGSY SHG-BL program in India. The study is based on secondary sources of data. In the process of data analysis, statistical tools of time series analysis and compound annual growth rate (CAGR) are used. The present study covers a period of seven years from 2006-07 to 2012-13. The result of the analysis reveals that CAGR in number of SHGs with respect to savings of SHGs with bank under SGSY SHG-BL program is more as compared to non SGSY SHG- BL program for the study period. The CAGR in amount of savings of SHGs with bank under non SGSY SHG- BL program is less as compared to SGSY SHG- BL program for the study period. The CAGR in number of SHGs with respect to loan disbursed to SHGs under SGSY SHG-BL program is negative (-0.62 percent) as against 1.82 percent under non SGSY SHG- BL program for the period. The CAGR in amount of loan disbursed to SHGs under non SGSY SHG- BL program is 19.90 percent as against 6.60 percent under SGSY SHG-BL program. The CAGR in number of SHGs with respect to loan outstanding of SHGs under SGSY SHG-BL program is 5.72 percent as against 8.20 percent under non SGSY SHGBL program for the period. The CAGR in amount of loan outstanding of SHGs under non SGSY SHG- BL program is 19.03 percent as against 14.79 percent under SGSY SHG-BL program. Therefore, it is evident from the various models that cubic model is best fitted with the time series data.