1Sabin Dawadi, 2Ajit Khanal,
4Prayash Pathak Chalise,
5Sudeep Poudel 1,2,3,4,5. Department of Social Sciences, Tribhuwan University, Lamjung, Nepal
MLA 8 Dawadi, Sabin, et al. "COMPARISON OF POVERTY STATUS AMONG PADDY GROWERS IN MID-HILLS, NEPAL USING PRINCIPAL COMPONENT ANALYSIS." Int. j. of Social Science and Economic Research, vol. 4, no. 11, Nov. 2019, pp. 7112-7124, ijsser.org/more2019.php?id=542. Accessed Nov. 2019.
APA Dawadi, S., Khanal, A., Bhandari, T., Chalise, P., & Poudel, S. (2019, November). COMPARISON OF POVERTY STATUS AMONG PADDY GROWERS IN MID-HILLS, NEPAL USING PRINCIPAL COMPONENT ANALYSIS. Int. j. of Social Science and Economic Research, 4(11), 7112-7124. Retrieved from ijsser.org/more2019.php?id=542
Chicago Dawadi, Sabin, Ajit Khanal, Thaneshwar Bhandari, Prayash Pathak Chalise, and Sudeep Poudel. "COMPARISON OF POVERTY STATUS AMONG PADDY GROWERS IN MID-HILLS, NEPAL USING PRINCIPAL COMPONENT ANALYSIS." Int. j. of Social Science and Economic Research 4, no. 11 (November 2019), 7112-7124. Accessed November, 2019. ijsser.org/more2019.php?id=542.
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Abstract: Paddy contributes 20.75% to the Agricultural Gross Domestic Product in Nepal, where
agriculture solely contributes 27.6 % to the National GDP. Socio-economic conditions including
poverty status is directly related to paddy production, especially in the rural agricultural
community. A detailed study of socio-economic status of paddy growing household is crucial to
determine relevant determinants of poverty. This study compares the status of rural household
poverty level of paddy growing farmers in 2 mid-hill districts of Gandaki Province: Lamjung and
Tanahun. The survey research was conducted with randomly selected 696 households from 9
Municipalities across two districts from November to December in 2018. The study identified
and analyzed data on 19 proxy variables which directly indicate socio-economic status. Principal
Component Analysis was carried out to determine relevant variables explaining poverty. The
result showed that household characteristics (foundation, outer -wall, number of sleeping rooms)
and ownership status of assets like Motorcycle and Refrigerator are the indicators of poverty. An
asset index was developed using a first principal component. Based on score obtained in the asset
index, households were categorized into three different socio-economic groups: The Rich, The
Average and The Poor. The result showed that, in both Tanahun and Lamjung district, all
households categorized into The Poor, had mud bonded bricks and stones as their outer wall.
None of the households categorized into The Poor, had Cement bonded foundation of the house.
This study sheds light upon economic status of The Poor targeting their reduction of poverty via
implementation of rice-based program.
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