This paper intends to assess the impact of microcredit on housing and food security in Nepal. The multivariate techniques used to achieve the objectives of the study. The study uses Nepal Living Standard Survey2011 data, which covers 5,988 households. Considering the endogeneity in the microcredit participation of household, the study uses instrumental variable technique (IV method) for assessing the impact of microcredit on housing and food security After the adjustment of the endogeneity, distance of bank, distance of cooperative from household and holding of land size of household as the instruments, eligible household reduced 475 household from 779 total households of intervention group and similarly 2,953 households from 5,209 total households of control group. CMP (conditional mixed process) estimator used to give flexibility in terms of combining continuous and binary variables together in the same model. Multivariate analysis indicates that it has positive and significant relationship on housing and food security (construction material, ownership status, sources of electricity, structural condition, sources of drinking, maintenance of house, consumption of cereals, consumption of veg, consumption of milk, consumption of egg, consumption of meat, food diversity) on intervention group than the control group. The results and findings of this study and review of the literatures in the paper provided a wide range of evidence that microcredit programs can increase incomes and lift families out of poverty. Microcredit would be a viable and potentially sustainable tool to reduce poverty level in Nepal.
Published in | Journal of Finance and Accounting (Volume 10, Issue 2) |
DOI | 10.11648/j.jfa.20221002.11 |
Page(s) | 78-95 |
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Microcredit, Impact, Expenditure, Nepal
[1] | Bruntrup, Michael, Afroza Huda, S. M. Alauddin, and Mizanur Rahman (1997); Impact Assessment of ASA; Dhaka: Association for Social Advancement (ASA). |
[2] | Chowdhury A.(2009). Microfinance as a Poverty Reduction Tool-A Critical Assessment. DESA Working Paper, UN-DESA. |
[3] | Coleman, B. E. (1999). The impact of group lending in northeast Thailand. Journal of Development Economics, 60, 105-42. |
[4] | Edgecomb, E. and L. Barton. (1998). Social Intermediation and Microfinance Programs; A Literature Review. Bethesda, MD: Development Alternatives Inc. |
[5] | Effa, A, D., Herring, R, D. (2005). Micro Finance Support to Rural Women Farmers in Ghana: A Case Study of the Ga District of the Greater Accra Region, Ghana, Proceedings of the 21st Annual Conference, San Antonio, TX. |
[6] | Ghalib, A. (2009). Measuring the Impact of Microfinance Intervention: A Conceptual Framework of Social Impact Assessment. UK: Journal of Development Economics, 71 (1), 146-159. |
[7] | Gibb, S. (2008). Microfinance’s Impact on Education, Poverty, and Empowerment: A case study from the Bolivian Altiplano Development Research. Bolivia: Working Paper Series, Institute for Advanced Development Studies. |
[8] | Glewwe, P., and G. Jacoby, H. (1995). An Economic Analysis of Delayed Primary School Enrollment in a low Income Country: The Role of Early Childhood Nutrition. The Riview of Economics and statistics, 77 (1), 156-169. |
[9] | Hausman, J. A. (1978). Specification Test in Econometrics. Econometrica, 46 (6): 1251-1271. |
[10] | Holvoet, N. (2004). Impact of microfinance programs on children’s education: Do the gender of the borrower and the delivery model matter? Journal of Microfinance, 6 (2), 33-49. |
[11] | Hossain, Mahbub (1984); Credit for the poor; Research Monograph No. 4; Bangladesh Institute of Development Studies; Dhaka. |
[12] | Hossian, A. M. Muazzam, eds. (1998); Poverty Alleviation and Empowerment: The Second impact Study of Brac’s Rural Development Program; Dhaka; BRAC. |
[13] | Khandker, S. R., Zahed Khan, BaquiKhalilly.(1995). Sustainability of a Government Targeted Credit Program: Evidence from Bangladesh. World Bank Discussion Papers. |
[14] | Khandker, S. R. (2005). Micro-finance and poverty: Evidence using panel data from Bangladesh. The World Bank Economic Review, 19 (2), 263–286. |
[15] | Khandker, Shahidur R. and Osman H. Chowdhury (1996); Targeted Credit Programmes and Rural Poverty in Bangladesh in Bangladesh; World Bank Discussion Paper No. 336; Washington D. C.: The World Bank. |
[16] | Montgomery, H. (2005). Serving the poorest of the poor: The Poverty Impact of the Khushhali Bank’s microfinance lending in Pakistan, ADB Institute. |
[17] | Morduch, J. (1998). "The Microfinance Schism." Development Discussion Paper No. 626. Cambridge: Department of Economics and HIID, Harvard University. |
[18] | Morduch J., Elizabeth L. and Syed H.(2003) “Is Microfinance an Effective Strategy to Reach the Millenium Goals?” CGAP Focus Note, 24, 1-12. |
[19] | Morduch, J. (1999). “The Microfinance Promise.” Journal of Economic Literature, Vol. 37 (4) 1569-1614. |
[20] | Morduch, J. (1999). The Role of Subsidies in Microfinance: Evidence from the Grameen bank. Journal of Development Economics, 60, 229-248. |
[21] | Morduch, J. (2000). The Microfinance Schism. World Development, 28 (4), 617–629. doi: 10.1016/s0305-750x(99)00151-5 |
[22] | Morduch, J. (1998). Does microfinance really help the poor? Evidence from flagship programs in Bangladesh?Grammen Bank, Bangladesh. Retrieved June 3, 2008, from world wide web: http://www.wws.princeton.edu/~rpds/downloads/morduch_microfinance poor.pdf. |
[23] | Mustafa, Shams, Ishrat Ara, DilrubaBanu, Altaf Hossain, AzmalKabir, Mohammad Mohsin, Abu Yusuf, Sarwar Jahan (1996); Beacon of Hope: An Impact Assessment and study of BRAC’s Rural Development Programme; Research Division, Bangladesh Rural Advancement Committee (BRAC), Dhaka. |
[24] | CBS, Nepal Living Standards Survey (2012). National Planning Commission Government of Nepal, Central Bureau of Statistics. |
[25] | CBS, Nepal Living Standards Survey. (2004). National Planning Commission Government of Nepal: Central Bureau of Statistics. |
[26] | Neponen, H. (2003). ASA-GV Microfinance Impact Report 2003, The Activists for Social Alternatives (ASA), India. |
[27] | Noreen U. (2010). "Impact of Microfinance on Poverty", A Ph.D. dissertation submitted to the Faculty of Management Sciences Foundation, University of Islamabad, Pakistan. |
[28] | Pit, M. M. and Khandker S. R. (1996). Household and Intra household Impact of Grameen Bank and Similar Targeted Credit Programme in Bangladesh, World Bank Discussion Papers. 306. Washington D.C. The World Bank. |
[29] | Pitt, Mark and Shahidur R. Khandker (1996); Household and Intra-household Impact of the Grameen Bank and Similar Targeted Credit Programs in Bangladesh; World Bank Discussion Paper No. 320; Washington, D.C. |
[30] | Pokhrel S. R. (2017). Impact of Microfinance on Poverty in Nepal. A PhD. dissertation submitted to the Faculty of Humanities and Social Sciences of Tribhuvan University in Kirtipur, Kathmandu, Nepal. |
[31] | Proshika (1995); Impact Assessment Survey Report; Proshika: A Centre for Human Development; Dhaka. |
[32] | Schrieder, G. and M.Sharma. (1999). “Impact of Finance on Poverty Reduction and Social Capital Formation: A review and Synthesis of Empirical Evidence.” Savings and Development, 23, (1) pp. 67-93. |
[33] | Sebstad, J. and G. Chen. (1996). Overview of Studies of the Impact of Micro Enterprise Credit. Washington: Management Systems International. |
[34] | Sengsourivong, K., (2006). The Impact of Microfinance on Household Welfare: case study of a savings group in Lao, PDR, Master Thesis, Department of Regional Cooperation Policy Studies, Graduate School of International Cooperation Studies, Kobe University, Japan |
[35] | Stock, J. H., and Watson, M. W. (1998). Introduction to Econometrics (Second ed.). United State of America: Pearson Education, Inc. |
APA Style
Shalik Ram Pokhrel. (2022). Impact of Microcredit on Housing and Food Security in Nepal. Journal of Finance and Accounting, 10(2), 78-95. https://doi.org/10.11648/j.jfa.20221002.11
ACS Style
Shalik Ram Pokhrel. Impact of Microcredit on Housing and Food Security in Nepal. J. Finance Account. 2022, 10(2), 78-95. doi: 10.11648/j.jfa.20221002.11
AMA Style
Shalik Ram Pokhrel. Impact of Microcredit on Housing and Food Security in Nepal. J Finance Account. 2022;10(2):78-95. doi: 10.11648/j.jfa.20221002.11
@article{10.11648/j.jfa.20221002.11, author = {Shalik Ram Pokhrel}, title = {Impact of Microcredit on Housing and Food Security in Nepal}, journal = {Journal of Finance and Accounting}, volume = {10}, number = {2}, pages = {78-95}, doi = {10.11648/j.jfa.20221002.11}, url = {https://doi.org/10.11648/j.jfa.20221002.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfa.20221002.11}, abstract = {This paper intends to assess the impact of microcredit on housing and food security in Nepal. The multivariate techniques used to achieve the objectives of the study. The study uses Nepal Living Standard Survey2011 data, which covers 5,988 households. Considering the endogeneity in the microcredit participation of household, the study uses instrumental variable technique (IV method) for assessing the impact of microcredit on housing and food security After the adjustment of the endogeneity, distance of bank, distance of cooperative from household and holding of land size of household as the instruments, eligible household reduced 475 household from 779 total households of intervention group and similarly 2,953 households from 5,209 total households of control group. CMP (conditional mixed process) estimator used to give flexibility in terms of combining continuous and binary variables together in the same model. Multivariate analysis indicates that it has positive and significant relationship on housing and food security (construction material, ownership status, sources of electricity, structural condition, sources of drinking, maintenance of house, consumption of cereals, consumption of veg, consumption of milk, consumption of egg, consumption of meat, food diversity) on intervention group than the control group. The results and findings of this study and review of the literatures in the paper provided a wide range of evidence that microcredit programs can increase incomes and lift families out of poverty. Microcredit would be a viable and potentially sustainable tool to reduce poverty level in Nepal.}, year = {2022} }
TY - JOUR T1 - Impact of Microcredit on Housing and Food Security in Nepal AU - Shalik Ram Pokhrel Y1 - 2022/03/15 PY - 2022 N1 - https://doi.org/10.11648/j.jfa.20221002.11 DO - 10.11648/j.jfa.20221002.11 T2 - Journal of Finance and Accounting JF - Journal of Finance and Accounting JO - Journal of Finance and Accounting SP - 78 EP - 95 PB - Science Publishing Group SN - 2330-7323 UR - https://doi.org/10.11648/j.jfa.20221002.11 AB - This paper intends to assess the impact of microcredit on housing and food security in Nepal. The multivariate techniques used to achieve the objectives of the study. The study uses Nepal Living Standard Survey2011 data, which covers 5,988 households. Considering the endogeneity in the microcredit participation of household, the study uses instrumental variable technique (IV method) for assessing the impact of microcredit on housing and food security After the adjustment of the endogeneity, distance of bank, distance of cooperative from household and holding of land size of household as the instruments, eligible household reduced 475 household from 779 total households of intervention group and similarly 2,953 households from 5,209 total households of control group. CMP (conditional mixed process) estimator used to give flexibility in terms of combining continuous and binary variables together in the same model. Multivariate analysis indicates that it has positive and significant relationship on housing and food security (construction material, ownership status, sources of electricity, structural condition, sources of drinking, maintenance of house, consumption of cereals, consumption of veg, consumption of milk, consumption of egg, consumption of meat, food diversity) on intervention group than the control group. The results and findings of this study and review of the literatures in the paper provided a wide range of evidence that microcredit programs can increase incomes and lift families out of poverty. Microcredit would be a viable and potentially sustainable tool to reduce poverty level in Nepal. VL - 10 IS - 2 ER -