Table 1.
Reference | Location | Period | Dependent variables | Financial inclusion and main control variables | Main findings |
---|---|---|---|---|---|
(Neaime & Gaysset, 2018) | MENA countries | 2002–2015 | Gini index; Poverty growth rate | ATM per 100,000 adults; banks per 100,000 adults; education; female workforce; population; inflation; trade openness; age-dependency ratio; GDP; GDP per capita growth | Results suggest that financial inclusion decreases income inequality. Yet, it has no effect on poverty |
(N'Dri & Kakinaka, 2020) | Burkina Faso | 2016 | Lack of nutrition; lack of healthcare; lack of education | Use of financial services (dummy); use of mobile money (dummy); age of respondent; gender of the respondent; household size; time-to-market; mobile phone ownership; education; land size; rural area | Financial inclusion reduces poverty (i.e., lack of nutrition, education, and healthcare). Moreover, it has a greater impact when individuals have access to digital financial services (i.e., mobile money) |
(Iqbal et al., 2020) | Bangladesh | 2010–2015 | Population in moderate and extreme poverty (%) | Branches per 10 km2; accounts per adult; deposits per adult; credit per adult; river erosion; cropping intensity; paved road; high remittance | By using a unique dataset of 544 administrative sub districts of Bangladesh, the authors found that financial inclusion decreases both extreme and moderate poverty levels in rural areas |
(Mushtaq & Bruneau, 2019) | 62 countries | 2001–2012 | Poverty headcount ratio; Gini index; Poverty gap; GDP per capita | Deposits per head; Borrower ratio; Loans (% GDP); GDP per capita; trade openness; government consumption; inflation; mobile; fixed telephone; internet; price of 3-min local call | Results suggest financial inclusion had negative and significant effects on poverty and inequality. Moreover, Information and Communication Technologies (ICT) stimulate financial inclusion, therefore favoring economic growth and reducing poverty and inequality |
(Demir et al., 2020) | 140 countries | 2011, 2014 and 2017 | Gini index | Use of mobile phone to pay bills (% population); Accounts (% population); Savings (% population); Borrowers (% population); GDP growth; education; trade openness; government expenditure; inflation; population | Financial inclusion reduces inequality at all quantiles of the inequality distribution, and 'FinTech' also reduces income inequality |
(Park & Mercado, 2017) | 176 countries | 2004–2012 | Poverty headcount ratio; Gini index | ATMs per 100,000 adults; branches per 100,000 adults; borrowers per 1000 adults; credit (% GDP); depositors per 1000 adults; share of highest to lowest income; inflation; education; banks growth; GDP growth; Rule of Law | Results demonstrate that financial inclusion is capable of decreasing poverty and inequality levels. However, financial inclusion presented no effect on inequality when only a subsample of 37 developing Asian nations was considered |
(Fouejieu et al., 2020) | Between 19 and 107 countries | 2004–2015 | Gini index | ATMs per 100,000 adults; number of bank branches per 100,000 adults; number of borrowers; number of depositors; number of mobile money accounts; number of mobile money transactions; inflation; telephones; trade openness; population; remittance; education; Rule of Law | Financial inclusion reduces inequality. The author tests for nonlinearities (i.e., the level of financial inclusion that increases inequality), and results suggest that financial inclusion does not boost inequality |
(Omar & Inaba, 2020) | 116 countries | 2004–2016 | Poverty headcount ratio; Gini index | Deposit accounts per 1000 adults; depositors per 1000 adults; branches per 100,000 adults; ATMs per 100,000 adults; loan accounts per 1000 adults; borrowers per 1000 adults; mobile users; GDP per capita; education; Rule of Law; inflation; government expenditure; trade openness | In addition to analyzing the determinants of financial inclusion, the authors found that financial inclusion reduces poverty and inequality levels in developing countries |
(Cabeza-García et al., 2019) | 91 countries | 2014 | GDP per capita | Accounts (% women over 15 years); borrowers (% women over 15 years); credit card (% female); workforce; expenditure in R&D; country-dummies | Greater female financial inclusion presents a significant and positive effect on economic growth |
(Koomson et al., 2020) | Ghana | 2016–2017 | Poverty headcount; vulnerability to poverty | Ownership of financial products; use of financial products; access to credit; receipt of remittance; household size; female (dummy); rural (dummy); education (dummy); employment status; distance to nearest bank | Results suggest financial inclusion reduces the poverty levels in Ghana, in addition to decreasing the vulnerability to poverty. Also, results suggest that this effect holds for urban and rural households, although the effect is more pronounced in rural households |
(Bruhn & Love, 2014) | Mexico | 2000–2004 | Wage earner dummy; Employment dummy; Income; Above minimum wage dummy; Business owner dummy | Presence of Banco Azteca after 2002 (dummy) | This study analyzes the effects of Banco Azteca in Mexico, as more than 800 branches opened almost simultaneously. The results show that bank opening led to a boost in informal businesses and increased the income levels, especially in low-to-middle-income populations and regions in which the previous bank presence was mediocre |
This set of econometric studies was arbitrarily chosen by the authors, and they are presented in no particular order