# Introduction overty has become a major concern for both the developed and developing countries. Based on the poverty line, people in each country can be broadly divided into categories, namely, the poor and the non-poor. The non-poor live above the poverty line while the poor live below the poverty line. Balkenhol (2007) found that microfinance schemes have been increasing significantly throughout the world. Despite the tremendous increase of microfinance schemes, the effect on the borrowers and household welfare remains widely contested. Rwanda is a landlocked country with limited natural resources. Rwanda has a population of about 12.5 millions, of which 87 per cent of live in the rural areas. The current population density of Rwanda stands at 416 people per square km. In the year 2012, Rwanda had a GDP per capita of US $ 644. Poverty is widespread with a life expectancy of 63.49 years (MINECOFIN 2012). The Poverty Reduction Unit (PRU) of UNDP Rwanda is attempting to lessen poverty and quicken advance towards the Millennium Development Goals (MDGs) by supporting star poor monetary development and comprehensive market improvement in Rwanda. UNDP Rwanda's strategy on Poverty Reduction seeks to furnish the low-income individuals with the tools and assets to lift themselves out of destitution through private segment activities at the national and district levels. The exercise intends to give low income people access to the business sector, merchandise and other ventures to empower themselves and reduce poverty to minimum. Providing access to credit will enable the poor to start-up businesses resulting in poverty reduction and speedy economic growth (Robinson, 2002). Many African countries are wallowing in poverty, forcing the governments to develop strategies on how to reduce poverty and accelerate economic growth. One of the approaches to eradicating poverty is the engineering of microfinance, which is considered as an effective tool of addressing the financial challenges facing the needy (Salia, 2014). Morduch and Haley (2002) noted that it is feasible for a microfinance organization to serve the most unfortunate to enable them meet their financial obligations. Swain (2004) stated that microfinance can be utilized as an instrument for mitigation instead of as a destitution reduction strategy. Despite the tremendous economic progress since 1994, Rwanda still remains undeveloped country based on the destitution lines. The degree of the populace in neediness declined from 39.1% in 2013/ The Rwanda Vision 2020 as articulated in 2000 and revised in 2012, has ambitious targets for further economic and social development for the years ahead. One such target is the substantial reduction of poverty. The Government of Rwanda and its development partners are committed to making significant headway towards achieving the objectives contained in the national vision document (The Fifth Integrated Household Living Conditions Survey, EICV5, 2016-17). In 2016, the Government of Rwanda made business simpler by improving the registration procedure, sponsoring agribusiness, controlling prices and finance for 20 percent of the population (Rwanda's Economic Freedom Score, 2018). Although, the government of Rwanda put much effort for poverty reduction, poverty remains a global problem, which needs concerted effort to address it. Of the worlds' 6 billion people, 2.8 billion people live on less than 2 US dollars a day and 1.2 billion on less than 1 US dollar a day (WDR, 2000(WDR, /2001)). Therefore, it is against this backdrop that this study sought to examine the effect of microfinance loan on poverty reduction in Rwanda. # II. # Literature Review Stiglitz (1990) noted that lack of guaranteeing among borrowers was the greatest challenge facing MFIs in providing credit. MFIs require the guarantor to pay the loan in case the borrower defaults. Cheston and Kuhn (2002) discovered that joint obligation brings down the liquidity danger of default to the borrower. Aryeetey (1997) contended that observing the loan requirements was the key to improving reimbursement rates. The authors also noted that small-scale money lenders have a joint obligation as the case Grameen in Bangladesh. Diane and Zeller (2001) proposed a companion weight model in which borrowers are not entirely educated about their accomplices' ability to apply or endure social endorsements. The model shows how companion weight can be utilized to alleviate default in circumstances where potential defaulters are prejudiced of authorizations. # a) Credit as a Human Right Conventional banks are based on the principle that the more you have, the more you can get; if you have nothing you get nothing. They argue that banking is a business and thus it cannot indulge in charity for the poor. Grameen bank in Bangladesh has actually redefined this principle to; "the less you have the higher priority you get in receiving loans from Grameen". If you have nothing you get the highest priority. Yunus (1998) argued that if there is one single action which will enable the poor to overcome their poverty, then it is credit. Credit should be accepted as a human right. If financial institutions can come up with a system which allows everybody access to credit while ensuring excellent repayment, then poverty will be past tense. # b) A Critical Assessment of Microfinance as a Poverty Reduction Tool Chowdhury and Bhuiya (2009) contended that there exists clashing suppositions regarding the degree to which microfinance has reduced poverty. The high interest rate charged by independent venture capitalists make it difficult to access credit resulting in escalation of poverty. Chowdhury and Bhuiya (2009) found that microfinance institutions have made a significant contribution in reducing poverty and improving the living standards of the people. The authors further contend that borrowers with business aptitude, enterprise capacity and training are more likely to access credit than those without such attributes. Hence, there is a need to train and equip individuals with business knowledge and skills to not only know how to run business, but also access credit to improve and grow their businesses. # III. # Research Methodology In this study, a quantitative research approach with a descriptive design was used to collect from the sample population. The primary data was collected using questionnaires which were randomly distributed among the respondents. The secondary data was collected using documentary review which included the Poverty Trend Analysis Report, Rwanda Economic Freedom Score and Poverty Strategy Paper to supplement the primary data. The study focused on microfinance clients who received loans between the years 2014 to 2018. The data collected was edited, coded and analyzed through the Statistical Package for Social Sciences (SPSS) software to produce the descriptive statistics such as percentages and standard deviation. The findings were reported using tables. IV. # Results The data collected was analyzed to obtain the response from respondents using tabular representations. This study examined the effect of Microfinance loan on poverty reduction in Rwanda. # a) Classification according to age of respondent. The following table shows how the respondents were distributed corresponding to their age. The table above shows the age brackets of the respondents. The results show that 38.2% (age bracket 25-34) as the most active followed by 22.4% (age bracket 35-44) and 7.9% (age bracket 18-24) as the least active. Thus, it is evident that the level of activity can be deduced to be highest within the 25-34 years of age bracket. The table above depicts the actual number of respondents by gender. The results show that the male respondents were more willing to give information required than the female respondents. This attribute was used to establish how microfinance loans affect the lifestyles of the respondents. This study sought to find out if the existing loan policies favor one sex over the other and how respondents feel about it. The findings indicate that 60.5% male respondents obtained microfinance loans compared to 39.5% female respondents. Qualitative data reveal that women in Rwanda were reluctant to engage in economic activities and prefer to help their husbands to own and run the business to avoid stress and risk. According to the Rwandan culture, women are expected to use their earnings in the business without having to rely on their counterparts for household needs. The table above indicates that 64.5% of the respondents were married while 35.5% were single. The higher response rate for the married respondents shows that those who are married have more financial obligations, which forces them to look for additional sources of income. The table above shows that 59.2% of the respondents had professional and secondary education, 9.2% had university education, 23.7% had primary education and 7.9% had no primary education. # b) Classification according to gender of respondents The higher percentage (59.2%) of professional & secondary education shows that those who did not have the chance to proceed with high education have to think of other ways to create a stable source of income. The table above shows that 75% of the respondents complained of high interest rates charged on the loans while 25 % said that the interest rates were fair. However, this could be attributed to the amount of the loan, repayment schedule and capacity to pay the loan(s). The table above shows that 73.7% of the respondents borrow money for business use while 26.3% borrow for other purposes such as family expenses and housing. From the statistical perspective, majority respondents borrow money with the sole purpose of investing in business to generate profit and improvement their standards of living. The table above indicates that 60.5% of the respondents used income generated from micro business to repay their loans while 39.5% used their wage income to pay off their loans. This is evident that majority of the respondents are in micro business while few are on payroll. The table above shows that 100% of the respondents were prompt in repaying their loans, which in turn, facilitates further access to credit to expand the business. The table above shows that 60.5% of the respondents save more than 40,000frw while 39.5% save between 20,000frw and 40,000frw. We can deduce that those who had more savings had adequate collateral than those who had little savings. The table above indicates that 59.2% of the respondents used savings as collateral for the loan while 40.8% used wages and personal house as collateral for the loan. The type of the loan sought determines the collateral to be used. For example, respondents who needed business loan had to use their savings as collateral than those who needed a loan for say household purpose. The table above shows that 68.4% of the respondents are satisfied with the loan requirements and repayment schedule whereas 31.6% of respondents are not satisfied with the lending requirements and repayment schedule. Those who were not satisfied with the loan requirements said that there was too much paperwork involved in accessing the credit. The respondents cited lack of grace period to allow them make proper repayment arrangements. The table above shows 53.9 percent of the respondents are engaged in transport services while 46.1 are engaged in commercial activities. This is evident that microfinance borrowers put their money into business to generate profit and improve their livelihood. 1Age of the respondentsFrequencyPercentValid Percent Cumulative PercentBetween 18-2467.97.97.9between 25-342938.238.246.1ValidBetween 35-44 Between 45-5417 1322.4 17.122.4 17.168.4 85.5Between 55-641114.514.5100.0Total76100.0100.0Source: Research finding 2Response by GenderFrequency Percent Valid Percent Cumulative PercentMale4660.560.560.5ValidFemale3039.539.5100.0Total76100.0100.0Source: Research findings 3Year 2021Volume XXI Issue III Version I( ) CGlobal Journal of Management and Business ResearchMarital status of the respondentsFrequency PercentValid Percent Cumulative PercentSingle2735.535.535.5ValidMarried4964.564.5100.0Total76100.0100.0Source: Research findings© 2021 Global Journals 4Educational level of Respondents.FrequencyPercent Valid Percent Cumulative PercentIlliteracy67.97.97.9Primary1823.723.731.6ValidProfessionals & secondary4559.259.290.8University79.29.2100.0Total76100.0100.0Source: Research findings 5Respondent Perceive Annual interest rateFrequencyPercent Valid Percent Cumulative Percent13%1925.025.025.0Valid16%5775.075.0100.0Total76100.0100.0Source: Research findings 6Respondent reason for borrowingFrequency Percent Valid Percent Cumulative PercentBusiness5673.773.773.7ValidFamily expenses Housing5 156.6 19.76.6 19.780.3 100.0Total76100.0100.0Source: Research findings 7Respondent main source of loan paymentFrequency Percent Valid Percent Cumulative Percentmicro business finance4660.560.560.5ValidWages3039.539.5100.0Total76100.0100.0Source: Research findings 8Response of respondents of Late in loan repaymentFrequencyPercentValid Percent Cumulative PercentValid No76100.0100.0100.0Source: Research findings 9Response of respondents of Monthly Savings after taking loan in FrwFrequency Percent Valid Percent Cumulative Percentless than 20,0001519.719.719.7ValidBetween 20,000 and 40,000 More than 40,00015 4619.7 60.519.7 60.539.5 100.0Total76100.0100.0Source: Research findings 9Types of collateral providedFrequencyPercentValid Percent Cumulative PercentWages2026.326.326.3Validsavings House45 1159.2 14.559.2 14.585.5 100.0Total76100.0100.0Source: Research findings 10Response of respondents on obtained group loanFrequency Percent Valid PercentCumulative PercentYes4052.652.652.6ValidNo3647.447.4100.0Total76100.0100.0Source: Research findingsThe table above shows that 47.4 percent of theperspective, group loans are more supportive thanrespondents obtained individual loans while 52.6individual loans.percent obtained group loans. From the statistical 11Satisfaction of loan terms conditions and repaymentFrequency PercentValid PercentCumulative PercentYes5268.468.468.4ValidNo2431.631.6100.0Total76100.0100.0 12Respondents Business activity engaged inFrequency PercentValid PercentCumulative PercentTransport4153.953.953.9Validcommercial activities3546.146.1100.0Total76100.0100.0Source: Research findings 13Any from COPEDU PLCFrequency Percent Valid PercentCumulative PercentValidYes76100.0100.0100.0Source: Research findings * Methods in Sample Surveys SAhmed 2009 Dept. of Biostatistics School of Hygiene and Public Health Johns Hopkins University * Journeying in Radical development studies: a reflection on thirty years of researching pro-poor development AAlkire JSantos 2010 in a radical history * The Borrowing behavior of households: Evidence from the Cyprus Family Expenditure Surveys SNAndreou Cyprus Economic Policy Review 2 5 2011 * The Miracle of microfinance? Evidence from a Randomized Evaluation ABanerjee EDuflo RGlennerster C&kinnan American Economic Journal: Applied Economics 7 1 2015a * Group Lending and individual lending with Strategic Default BBhole SOgden Journal of Development Economics 91 2010 * Microfinance funder survey Consultative group to assist the poor (CGAP) 2010. 2010 * DCWashington February 15th. 2008 * The challenges facing microfinance institutions in poverty eradication: A Case study in Mogadishu AMDahir International Journal of humanities 2 2 2015 Social sciences and Education * PhilipDavis MiguelSanchez-Martinez Economic theories of poverty 4th Jun 2015 * Finance for small enterprise growth and poverty reduction in developing countries CJGreen CHKirkpatrick VMurinde Journal of International Development 1 2006 * The rationality of empowerment: microcredit, accumulation by dispossession and the gendered economy CKeating CRasmussen PRishi 2010 Routledge New York * The role of subsidies in microfinance: evidence from the Grameen Bank JMorduch Journal of Development Economics 6 10 1999 * Republic of Rwanda RwandaRepublic Of Economic Development and Poverty Reduction Strategy 2012. 2020. 2012. 2013. 2008-2012 13 Rwanda vision * RwandaRepublic Of Poverty Trend Analysis Report 2016. 2010/11-2013/14 * Rwanda's Economic Freedom Score RwandaRepublic Of 2018. 2018 * The effect of microcredit on the household welfare, empirical evidences from women micro-entrepreneurs in Tanzania. International journal of academic research in business and social sciences PSalia 2014 4 * MYunus 1998