<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">ME</journal-id><journal-title-group><journal-title>Modern Economy</journal-title></journal-title-group><issn pub-type="epub">2152-7245</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/me.2021.1212102</article-id><article-id pub-id-type="publisher-id">ME-114188</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Contributions of IMFs Programs to Household Financial Resilience: Financial Evolution of Households in Rural Areas&lt;br/&gt;—The Case of Malagasy IMFs
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Andry</surname><given-names>Lova Herizo Rakotondramanana</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Herimamy</surname><given-names>Henintsoa Raphael Randrianirina</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mamy</surname><given-names>Alfa Randriamiharisoa</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Marc</surname><given-names>Tiana Andrianarizaka</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Faculty of Letters and Human Sciences, University of Antananarivo, Antananarivo, Madagascar</addr-line></aff><aff id="aff1"><addr-line>DYOGM Laboratory, Faculty of Letters and Human Sciences, University of Antananarivo, Antananarivo, Madagascar</addr-line></aff><aff id="aff2"><addr-line>Department of Agro-Management, University of Antananarivo, Antananarivo, Madagascar</addr-line></aff><aff id="aff3"><addr-line>Faculty of Economics, Management and Sociology, University of Antananarivo, Antananarivo, Madagascar</addr-line></aff><pub-date pub-type="epub"><day>01</day><month>12</month><year>2021</year></pub-date><volume>12</volume><issue>12</issue><fpage>1949</fpage><lpage>1958</lpage><history><date date-type="received"><day>6,</day>	<month>November</month>	<year>2021</year></date><date date-type="rev-recd"><day>25,</day>	<month>December</month>	<year>2021</year>	</date><date date-type="accepted"><day>28,</day>	<month>December</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Microfinance has been promoted by donors as an effective tool to ensure the financial resilience of the population in underdeveloped countries. Indeed, their main goal is to promote development in poor countries. In the new millennium, poverty reduction and financial resilience have become the watchwords of almost all the institutions involved in the socio-economic development of poor countries. But the problem is to know to what extent IMFs programs participate in the financial evolution of households? Based on the hypothesis that IMF programs will allow households to improve their financial situation, the objective of this study is to evaluate the contributions of microfinance activities on the financial evolution of households based on the results of an opinion survey analyzing the evolution of the monthly income and savings capacity of a sample of 200 households from the rural environment.
 
</p></abstract><kwd-group><kwd>Microfinance</kwd><kwd> Development</kwd><kwd> Income</kwd><kwd> Savings</kwd><kwd> Beneficiary</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Microfinance is one of the tools used to leverage poverty alleviation and development. It serves to break the vicious circle. Even if it is not a panacea, it has a very important place nowadays in the fight for poverty reduction and the promotion of development. Far from being a simple matter for bankers, microfinance is above all a tool for development (Joanna, 1996).</p><p>Analyzing development as a combination of mental and social changes that make it capable of cumulatively increasing the standard of living of households leads to a reflection on the definition of poverty. Absolute poverty is defined as the expenditure on a minimum of foodstuffs ensuring physiological reproduction, plus a conventional number of other expenses determined on the basis of the most modest family budgets. Relative poverty, on the other hand, is calculated by taking into account the income distribution of a given population, and the poverty line is defined by a specific quantile.</p><p>Considering financial services such as credit, savings and insurance as a mechanism for promoting financial resilience provides food for thought on the place of microfinance in household financial development. The explicit consideration of risk and vulnerability raises questions about the role of IMF programs in the household economy. These questions take on particular importance given the rise of microfinance and the expectations associated with it as a development tool, especially in rural areas.</p><p>As microfinance is a development tool, it contributes to a situation where society and the productive apparatus have the conditions for development. In other words, the objectives of an IMF are generally based on the principle of getting financially vulnerable individuals out of their situations to ensure sustainable development (Traor&#233;, Bocoum, &amp; Tamini, 2020). Madagascar has always made a big deal about improving and expanding microfinance for poverty reduction and development. This is still one of the reasons, in fact, for the appearance of various microfinance institutions (Conso, 1992). But the question is to what extent do IMF programs impact the financial evolution of rural households?</p><p>Indeed, the evolution of the income and savings of households that are members of an IMF, which is a function of program management, generally reflects the financial evolution of these households.</p><p>This study, therefore, aims to evaluate, through a sample of 200 rural households, the impact of microfinance institutions’ actions on the financial evolution of households. More specifically, this research attempts to provide insight into the consequences of integration into IMF programs on the income and savings capacity of households.</p><p>Based on the assumption that IMFs programs will allow households to improve their financial situation, the results of a survey in the form of an opinion poll will be processed and analyzed statistically using the SPHINX data processing software.</p></sec><sec id="s2"><title>2. Conceptual Cadre</title><p>The financial system, also known as the financial sector or financial infrastructure, includes all savings and financing opportunities, the financial institutions that provide these opportunities, and the financial institutions that provide the services (Aghion, Howitt, &amp; Mayer-Foulkes, 2005).</p><p>Microfinance institutions can be non-governmental organizations (ONGs), savings and credit cooperatives, credit unions, state-owned banks, commercial banks, or non-bank financial institutions. The clients of these institutions are usually self-employed, low-income entrepreneurs in rural or urban areas.</p><p>As development organizations, microfinance institutions aim to meet the financial needs of underserved or unserved market segments from a development perspective.</p><p>Development goals typically include:</p><p>&#173; Poverty reduction;</p><p>&#173; Strengthening the social position of women or disadvantaged population groups;</p><p>&#173; Creation of employment opportunities;</p><p>&#173; Supporting the growth and diversification of existing businesses;</p><p>&#173; Encouraging the creation of new businesses.</p><p>A World Bank study of credit projects identified the three most frequently cited objectives:</p><p>To generate employment and income opportunities through the creation and development of microenterprises.</p><p>Increase the productivity and income of socially vulnerable groups, especially women and the poor.</p><p>Reduce the dependence of rural families on drought risks through diversification of their income-generating activities.</p><p>Despite the many contextual variables in each country, the two long-term goals of microfinance remain outreach, i.e., serving those who have been left out by financial institutions (e.g., women, the poor, and indigenous and rural populations), and sustainability, which entails generating enough income to cover the costs of providing financial services.</p><p>The term microfinance refers to the provision of financial services to a clientele that is often excluded from the banking system, including small-scale self-employed people. Microfinance is a development tool thanks to the offer of financial and non-financial services. The financial services offer concerns savings and credit. Savings are the essential tool for investment. It helps to break the vicious circle of underdevelopment or poverty that results from the lack or weakness of income due to several factors, including excess population, bad climate, mentality, economic and political conditions, etc.</p><p>Savings guarantee development, which can only be achieved through good productivity and profitability.</p><p>The microfinance sector in Madagascar includes three types of organizations:</p><p>&#173; “Member-based” and/or self-managed institutions, mostly mutualists, which collect savings and grant loans to their members.</p><p>&#173; “Client-based” institutions, which are organizations whose main activity is the distribution of loans and which do not link borrowing to the constitution of prior savings.</p><p>&#173; Projects with a “credit component” and ONGs or associations that do not consider credit to be their main activity, as credit is often seen as one component among others in the projects implemented.</p></sec><sec id="s3"><title>3. Results</title><p>With the objective of evaluating the impact of microfinance institutions’ actions on the financial evolution of households, this research attempts to provide an overall reflection on the impacts of the integration of households into MFI programs on the evolution of their income and savings capacities.</p><p>The methodological approach is based on the verification of the hypothesis that IMF programs will enable households to improve their financial situation. Thus, the hypothetical-deductive approach is the most appropriate. Indeed, the analysis is based on the results of research conducted with a sample of 200 households from rural areas. The data collected will then be statistically processed using SPHINX software to produce interpretations related to the theme.</p><sec id="s3_1"><title>3.1. Household Financial Situation</title><p>Livestock breeding and agriculture are the preferred occupations in rural areas of the Malagasy, particularly in our study area of mid-western Madagascar. According to our survey results shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>, livestock farming predominates among the sources of income of rural households, with a significant percentage of respondents (32.1%) compared to agriculture (27.3%)<sup>1</sup>. And we have to admit that these jobs have changed in terms of income evolution according to the respondents’ statements.</p><p>Indeed, more than the majority, i.e. 53%, consider that their daily income has increased and evolved, and even the 17% who stated that their income has increased significantly (TableA1).</p><p>However, when reading the statistics in <xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref>, which is based on the respondents’ opinions on their ability to save or the evolution of their savings, certain difficulties are felt by rural households. In fact, only a small minority of significant percentages of the respondents declare that they have the possibility of saving very often or always (2% to 11%). Nevertheless, more than the majority, i.e. 56%, admit to having this ability to save often<sup>2</sup>.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref></label><caption><title> Distribution of rural households’ opinions on savings</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Opinions/Savings Structure</th><th align="center" valign="middle" >Never</th><th align="center" valign="middle" >Rarely</th><th align="center" valign="middle" >Often</th><th align="center" valign="middle" >Very Often</th><th align="center" valign="middle" >Always</th><th align="center" valign="middle" >TOTAL</th></tr></thead><tr><td align="center" valign="middle" >Savings opportunity</td><td align="center" valign="middle" >14.0%</td><td align="center" valign="middle" >17.0%</td><td align="center" valign="middle" >56.0%</td><td align="center" valign="middle" >2.0%</td><td align="center" valign="middle" >11.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Evolution of savings</td><td align="center" valign="middle" >14.0%</td><td align="center" valign="middle" >13.0%</td><td align="center" valign="middle" >7.0%</td><td align="center" valign="middle" >57.0%</td><td align="center" valign="middle" >9.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Overall</td><td align="center" valign="middle" >14.0%</td><td align="center" valign="middle" >15.0%</td><td align="center" valign="middle" >31.5%</td><td align="center" valign="middle" >29.5%</td><td align="center" valign="middle" >10.0%</td><td align="center" valign="middle" >100%</td></tr></tbody></table></table-wrap><p>Source: Authors 2021.</p></sec><sec id="s3_2"><title>3.2. Integration into Programs IMFs</title><sec id="s3_2_1"><title>3.2.1. Degree of Household Dependence on Programs IMFs</title><p>The whole range of financial services was offered by the IMFs, intended for the population groups in difficulty in rural areas, such as microcredits, small savings, microinsurance or other services whose objective is either to promote access to financial services for those excluded from the banking circuit or to encourage them to save more. <xref ref-type="table" rid="table2"><xref ref-type="table" rid="table">Table </xref>2</xref> shows the distribution of the proportions of rural households who have or have not used the programme contracts offered by the IMFs. Generally speaking, the interest of the households surveyed in the IMFs’ programmes can be seen, as 60% of the respondents often or even always agree with the question they are asked about having already used financial products. Only 16% admit that they have never had the opportunity to experience such financial transactions. In addition, the same table below describes the distribution of percentages of rural households on their dependence on programme contracts offered by IMFs. The statistics here also support the so-called effectiveness of IMF programme contracts for rural households. Indeed, just over 4 out of 10 households, or 40.5%, agreed that they had been contracting IMF programmes for more than 4 years and 17.9% for 2 to 4 years. The Chi-square tests on the two distributions studied establish significant p-values respectively associated with chi2 = 50.00, ddl = 4, 1 − p ≥ 99.99% for the IMF programme contract and chi2 = 11.14, ddl = 3, 1 − p = 98.90% for the dependence on IMF programmes, thus ensuring the relevance of these trends of information on the place of the programme contracts proposed by the financial institutions in rural areas.</p><p>As for households’ familiarity with the types of programs offered by IMFs, our study, through the chi-square test of independence, establishes a significant dependence between the opinions of the respondents and the different financial services offered by the IMFs<sup>3</sup>. Thus, the presentation of their opinions in <xref ref-type="table" rid="table3"><xref ref-type="table" rid="table">Table </xref>3</xref>, which compiles households’ familiarity with the types of programmes offered by IMFs according to the four measurement items relating to credit, savings, insurance and account-keeping contracts makes it possible to deduce the behavior of the contracting households surveyed.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2"><xref ref-type="table" rid="table">Table </xref>2</xref></label><caption><title> Distributions of MFI Program contract and MFI program dependence of rural households</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Distributions</th><th align="center" valign="middle" >Opinions</th><th align="center" valign="middle" >Frequency</th></tr></thead><tr><td align="center" valign="middle"  rowspan="5"  >IMF Program Contract</td><td align="center" valign="middle" >Never</td><td align="center" valign="middle" >16.0%</td></tr><tr><td align="center" valign="middle" >Rarely</td><td align="center" valign="middle" >10.0%</td></tr><tr><td align="center" valign="middle" >Moderately</td><td align="center" valign="middle" >14.0%</td></tr><tr><td align="center" valign="middle" >Often</td><td align="center" valign="middle" >48.0%</td></tr><tr><td align="center" valign="middle" >Always</td><td align="center" valign="middle" >12.0%</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Dependence on IMF programmes</td><td align="center" valign="middle" >Less than 1 year</td><td align="center" valign="middle" >22.6%</td></tr><tr><td align="center" valign="middle" >1 to 2 years</td><td align="center" valign="middle" >19.0%</td></tr><tr><td align="center" valign="middle" >2 to 4 years</td><td align="center" valign="middle" >17.9%</td></tr><tr><td align="center" valign="middle" >More than 4 years</td><td align="center" valign="middle" >40.5%</td></tr></tbody></table></table-wrap><p>Source: Authors 2021.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3"><xref ref-type="table" rid="table">Table </xref>3</xref></label><caption><title> Familiarity of households with types of MFI programmes</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Opinions/Familiarity with contract types</th><th align="center" valign="middle" >Never</th><th align="center" valign="middle" >Rarely</th><th align="center" valign="middle" >Used to</th><th align="center" valign="middle" >TOTAL</th></tr></thead><tr><td align="center" valign="middle" >Credit</td><td align="center" valign="middle" >16.0%</td><td align="center" valign="middle" >18.0%</td><td align="center" valign="middle" >66.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Saving</td><td align="center" valign="middle" >16.0%</td><td align="center" valign="middle" >21.0%</td><td align="center" valign="middle" >63.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Account keeping</td><td align="center" valign="middle" >24.0%</td><td align="center" valign="middle" >18.0%</td><td align="center" valign="middle" >58.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Insurance</td><td align="center" valign="middle" >97.0%</td><td align="center" valign="middle" >2.0%</td><td align="center" valign="middle" >1.0%</td><td align="center" valign="middle" >100%</td></tr></tbody></table></table-wrap><p>Source: Authors 2021.</p><p>The first salient result is the general reluctance of rural households to take out an insurance contract, with 97% of them saying they had never used or heard of this type of financial product. However, the other types of programme interest more than half of the members, with 58% to 66% claiming to be used to taking out either “account management”, “savings” or even “credit” contracts. However, the credit contract remains the most important service offered by IMFs, with 66% of clients stating that they often deal with this programme or are used to it (TableA1).</p></sec><sec id="s3_2_2"><title>3.2.2. Reasons Given by Participants in IMFS</title><p>Furthermore, the analysis of the answers given by rural households summarised in <xref ref-type="table" rid="table4"><xref ref-type="table" rid="table">Table </xref>4</xref>, significantly establishes via the independence chi-square test that the first reasons generally given by the latter when applying for IMF programme contracts concern above all the extension of activities (59%) followed by new investment (58%). This situation evokes the need for the development of rural households in terms of professional activities and is also confirmed by our analyses, as the financial problem is only moderately advanced by a little less than the majority of respondents as a reason for requesting assistance from IMFs.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4"><xref ref-type="table" rid="table">Table </xref>4</xref></label><caption><title> Reasons given by participants in IMFS program contracts</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Opinions/Reasons or reasons given for contracts</th><th align="center" valign="middle" >Never</th><th align="center" valign="middle" >Rarely</th><th align="center" valign="middle" >Generally</th><th align="center" valign="middle" >TOTAL</th></tr></thead><tr><td align="center" valign="middle" >Financial problem</td><td align="center" valign="middle" >28.0%</td><td align="center" valign="middle" >56.0%</td><td align="center" valign="middle" >16.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >New investment</td><td align="center" valign="middle" >28.0%</td><td align="center" valign="middle" >14.0%</td><td align="center" valign="middle" >58.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Expansion of activity</td><td align="center" valign="middle" >25.0%</td><td align="center" valign="middle" >16.0%</td><td align="center" valign="middle" >59.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Construction</td><td align="center" valign="middle" >28.0%</td><td align="center" valign="middle" >57.0%</td><td align="center" valign="middle" >15.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Renovation</td><td align="center" valign="middle" >24.0%</td><td align="center" valign="middle" >54.0%</td><td align="center" valign="middle" >22.0%</td><td align="center" valign="middle" >100%</td></tr></tbody></table></table-wrap><p>Source: Authors 2021.</p><p>Construction and renovation are rarely mentioned, although they were mentioned as reasons for requesting programme contracts from IMFs by slightly fewer than the majority of respondents<sup> </sup>(TableA1).</p></sec><sec id="s3_2_3"><title>3.2.3. Allocation of Contracted IMF Programs</title><p>As previously stated in the analysis of the opinions of rural households, overall, the motives for requesting IMF programs concern above all new investments and the expansion of activities. <xref ref-type="table" rid="table5"><xref ref-type="table" rid="table">Table </xref>5</xref> groups together the opinions of the beneficiaries of IMF programs on the different possibilities for allocating these gains, which are considered objective for rural households in times of acute need. The chi-square test of independence between the two characteristics at stake establishes significantly that according to 62% of the respondents, the allocation of IMF support is generally destined for agriculture and for 58.6% for savings. Our results also show that rarely do we see more than one out of two households among the beneficiaries using the MFIs’ effective programs either for the purchase of inputs or school supplies or for transport or even for real estate.</p></sec></sec></sec><sec id="s4"><title>4. Discussions</title>IMFs Programs Enhance Household Financial Development<p>The first highlight from our analyses of the impacts of household membership in IMF programs is the evolution of household income. These impacts are found to be very significantly dependent on the indicators of the Chi-square test of independence. Thus, <xref ref-type="table" rid="table6"><xref ref-type="table" rid="table">Table </xref>6</xref> shows that exactly 3 out of 4 people who never benefited from or sought out financial offers from IMFs did not change their income situation at all or were unable to do so. Conversely, households that are always assisted by IFM programs following their requests almost all have seen their incomes evolve or change significantly. Moreover, 84.4% of those who say they often use the financial services of IMFs immediately notice their incomes changing. These dramatic effects are all attributed to the IMFs’ program assets.</p><p>At the same time, the cross-analysis between the IMFs’ program contracts and the households’ opinions on their ability to save, using the chi-square test of independence was deemed very significant. We can see from <xref ref-type="table" rid="table7"><xref ref-type="table" rid="table">Table </xref>7</xref> the contributions made by these IMFs to the financial situation of the contractors. Indeed,</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5"><xref ref-type="table" rid="table">Table </xref>5</xref></label><caption><title> Use of programmes benefited by IMFs</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Opinions/Destination of use of IMF programs</th><th align="center" valign="middle" >Never</th><th align="center" valign="middle" >Rarely</th><th align="center" valign="middle" >generally</th><th align="center" valign="middle" >TOTAL</th></tr></thead><tr><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >14.0%</td><td align="center" valign="middle" >24.0%</td><td align="center" valign="middle" >62.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Business</td><td align="center" valign="middle" >23.0%</td><td align="center" valign="middle" >60.0%</td><td align="center" valign="middle" >17.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Real estate</td><td align="center" valign="middle" >27.0%</td><td align="center" valign="middle" >58.0%</td><td align="center" valign="middle" >15.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Transport</td><td align="center" valign="middle" >24.0%</td><td align="center" valign="middle" >54.0%</td><td align="center" valign="middle" >22.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Children’s schooling</td><td align="center" valign="middle" >21.0%</td><td align="center" valign="middle" >61.0%</td><td align="center" valign="middle" >18.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Health and medical expenses</td><td align="center" valign="middle" >64.0%</td><td align="center" valign="middle" >15.0%</td><td align="center" valign="middle" >21.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Purchasing inputs</td><td align="center" valign="middle" >21.0%</td><td align="center" valign="middle" >58.0%</td><td align="center" valign="middle" >21.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Household goods</td><td align="center" valign="middle" >19.0%</td><td align="center" valign="middle" >60.0%</td><td align="center" valign="middle" >21.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Food and feeding</td><td align="center" valign="middle" >67.0%</td><td align="center" valign="middle" >13.0%</td><td align="center" valign="middle" >20.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Savings</td><td align="center" valign="middle" >22.2%</td><td align="center" valign="middle" >19.2%</td><td align="center" valign="middle" >58.6%</td><td align="center" valign="middle" >100%</td></tr></tbody></table></table-wrap><p>Source: Authors 2021.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6"><xref ref-type="table" rid="table">Table </xref>6</xref></label><caption><title> IMFs program contract and income trends</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Evolution of revenues/Contracts MFI programs</th><th align="center" valign="middle" >Not at all evolved</th><th align="center" valign="middle" >Not evolved</th><th align="center" valign="middle" >Moderately evolved</th><th align="center" valign="middle" >Evolved</th><th align="center" valign="middle" >Very evolved</th><th align="center" valign="middle" >TOTAL</th></tr></thead><tr><td align="center" valign="middle" >Never</td><td align="center" valign="middle" >27.5%</td><td align="center" valign="middle" >47.5%</td><td align="center" valign="middle" >10.5%</td><td align="center" valign="middle" >14.5%</td><td align="center" valign="middle" >0.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Rarely</td><td align="center" valign="middle" >60.0%</td><td align="center" valign="middle" >20.0%</td><td align="center" valign="middle" >10.0%</td><td align="center" valign="middle" >0.0%</td><td align="center" valign="middle" >10.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Moderately</td><td align="center" valign="middle" >21.4%</td><td align="center" valign="middle" >7.1%</td><td align="center" valign="middle" >28.6%</td><td align="center" valign="middle" >21.4%</td><td align="center" valign="middle" >21.4%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Often</td><td align="center" valign="middle" >2.1%</td><td align="center" valign="middle" >4.2%</td><td align="center" valign="middle" >1.0%</td><td align="center" valign="middle" >84.4%</td><td align="center" valign="middle" >8.3%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Always</td><td align="center" valign="middle" >0.5%</td><td align="center" valign="middle" >1.5%</td><td align="center" valign="middle" >2.0%</td><td align="center" valign="middle" >24.5%</td><td align="center" valign="middle" >72.5%</td><td align="center" valign="middle" >100%</td></tr></tbody></table></table-wrap><p>Source: Authors 2021.</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7"><xref ref-type="table" rid="table">Table </xref>7</xref></label><caption><title> IMF program contract and household savings opportunities</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Possibility of savings/Contracts MFI programs</th><th align="center" valign="middle" >Never</th><th align="center" valign="middle" >Rarely</th><th align="center" valign="middle" >Often</th><th align="center" valign="middle" >Very Often</th><th align="center" valign="middle" >Always</th><th align="center" valign="middle" >TOTAL</th></tr></thead><tr><td align="center" valign="middle" >Never</td><td align="center" valign="middle" >36.0%</td><td align="center" valign="middle" >25.0%</td><td align="center" valign="middle" >36.0%</td><td align="center" valign="middle" >1.5%</td><td align="center" valign="middle" >1.5%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Rarely</td><td align="center" valign="middle" >28.0%</td><td align="center" valign="middle" >10.0%</td><td align="center" valign="middle" >30.0%</td><td align="center" valign="middle" >2.0%</td><td align="center" valign="middle" >30.0%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Moderately</td><td align="center" valign="middle" >14.3%</td><td align="center" valign="middle" >35.7%</td><td align="center" valign="middle" >21.4%</td><td align="center" valign="middle" >7.1%</td><td align="center" valign="middle" >21.4%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Often</td><td align="center" valign="middle" >1.0%</td><td align="center" valign="middle" >4.2%</td><td align="center" valign="middle" >87.6%</td><td align="center" valign="middle" >1.0%</td><td align="center" valign="middle" >6.3%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Always</td><td align="center" valign="middle" >25.0%</td><td align="center" valign="middle" >41.7%</td><td align="center" valign="middle" >8.3%</td><td align="center" valign="middle" >8.3%</td><td align="center" valign="middle" >16.7%</td><td align="center" valign="middle" >100%</td></tr></tbody></table></table-wrap><p>Source: Authors 2021.</p><p>87.6% of the households that have often used the financial services offered also claim to have the possibility of saving often. It should be noted that 36% of households that have never had the opportunity to benefit from the program contracts admit that they have never had the opportunity to save in their lives.</p><table-wrap id="table8" ><label><xref ref-type="table" rid="table8"><xref ref-type="table" rid="table">Table </xref>8</xref></label><caption><title> Program allocated to savings and evolution of savings</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Evolution of savings/Program assigned to savings</th><th align="center" valign="middle" >Very diminished</th><th align="center" valign="middle" >Diminished</th><th align="center" valign="middle" >Stagnated</th><th align="center" valign="middle" >Evolved</th><th align="center" valign="middle" >Very evolved</th><th align="center" valign="middle" >TOTAL</th></tr></thead><tr><td align="center" valign="middle" >Never</td><td align="center" valign="middle" >13.6%</td><td align="center" valign="middle" >31.8%</td><td align="center" valign="middle" >9.1%</td><td align="center" valign="middle" >31.8%</td><td align="center" valign="middle" >13.6%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Rarely</td><td align="center" valign="middle" >41.7%</td><td align="center" valign="middle" >8.3%</td><td align="center" valign="middle" >16.7%</td><td align="center" valign="middle" >25.0%</td><td align="center" valign="middle" >8.3%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Moderately</td><td align="center" valign="middle" >14.3%</td><td align="center" valign="middle" >14.3%</td><td align="center" valign="middle" >28.6%</td><td align="center" valign="middle" >28.6%</td><td align="center" valign="middle" >14.3%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Often</td><td align="center" valign="middle" >5.4%</td><td align="center" valign="middle" >4.1%</td><td align="center" valign="middle" >1.2%</td><td align="center" valign="middle" >87.2%</td><td align="center" valign="middle" >2.1%</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Always</td><td align="center" valign="middle" >9.1%</td><td align="center" valign="middle" >18.2%</td><td align="center" valign="middle" >9.1%</td><td align="center" valign="middle" >36.4%</td><td align="center" valign="middle" >27.3%</td><td align="center" valign="middle" >100%</td></tr></tbody></table></table-wrap><p>Source: Authors 2021.</p><p>However, it is clear that reasonable or even rare assistance from IMFIs through their program contracts is effective because more than 4 out of 10 households, or more precisely 41.7% of households, stated that they were always able to save.</p><p>In addition, it is worth noting, following our analyses of the impact of the attribution of MFI programs to savings relative to their evolution, on the one hand, a significant dependence of these acts according to the Chi-square test and, on the other hand, the positive effect observed. In fact, according to <xref ref-type="table" rid="table8"><xref ref-type="table" rid="table">Table </xref>8</xref>, 87.2% of households that often contracted IMFs savings programs claim to have noticed their savings evolve and more than the majority, i.e. the 63.7% that systematically contract IMFs savings offers see their savings evolve or very evolve.</p></sec><sec id="s5"><title>5. Conclusion</title><p>All economic growth requires the accumulation of capital. Despite the desire and willingness to lift oneself out of poverty, the lack of resources, especially financial resources, is an obstacle. Several previous theories and research studies have discussed the role of microfinance in the fight against poverty and in helping individuals who have been disadvantaged by the banking system to develop. The results of this research, based on a sample of 200 rural households, show that the contributions of MFI programs have had a positive impact not only on monthly household income but also on savings capacity.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Rakotondramanana, A. L. H., Randrianirina, H. H. R., Randriamiharisoa, M. A., &amp; Andrianarizaka, M. T. (2021). Contributions of IMFs Programs to Household Financial Resilience: Financial Evolution of Households in Rural Areas. Modern Economy, 12, 1949-1958. https://doi.org/10.4236/me.2021.1212102</p></sec><sec id="s8"><title>Appendix</title><table-wrap id="table9" ><label><xref ref-type="table" rid="table">Table </xref>A1</label><caption><title> <xref ref-type="table" rid="table">Table </xref>of distribution of the evolution of rural household incomes</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Evolution of revenues</th><th align="center" valign="middle" >Frequency</th></tr></thead><tr><td align="center" valign="middle" >Evolved</td><td align="center" valign="middle" >53.0%</td></tr><tr><td align="center" valign="middle" >Very evolved</td><td align="center" valign="middle" >17.0%</td></tr><tr><td align="center" valign="middle" >Not at all evolved</td><td align="center" valign="middle" >12.0%</td></tr><tr><td align="center" valign="middle" >Not evolved</td><td align="center" valign="middle" >11.0%</td></tr><tr><td align="center" valign="middle" >Moderately evolved</td><td align="center" valign="middle" >7.0%</td></tr><tr><td align="center" valign="middle" >TOTAL</td><td align="center" valign="middle" >100%</td></tr></tbody></table></table-wrap><p>Source: Authors 2021. The difference with the reference distribution is very significant. chi2 = 70.60, ddl = 4, 1 − p ≥ 99.99%.</p></sec><sec id="s9"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.114188-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Traoré, A., Bocoum, I., &amp; Tamini, L. D. (2020). Services financiers: quelles perspectives pour le déploiement d’innovations agricoles en Afrique? économie rurale.</mixed-citation></ref><ref id="scirp.114188-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Joanna, L. (1996). Manuel de microfinance, programme substainable Banking with the poor.</mixed-citation></ref><ref id="scirp.114188-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Conso, P. (1992). Guide de la banque pour tous, les banques mutualistes en Afrique. 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