Digital Payments, Cash Substitution and Sustainable Financial Inclusion in Latin America and the Caribbean
Abstract
1. Introduction
2. Literature Review and Hypothesis Development
2.1. Digital Payments and Financial Inclusion
2.2. Use of Cash and the Cashless Transition
2.3. Digital Payments, Cash Substitution, and Sustainability
3. Research Methodology
3.1. Data
3.2. Methodology
- The likelihood of using cash depends on the adoption of digital payments across income quintiles.
- The likelihood of using cash depends on the adoption of digital payments across all age groups. The likelihood of using cash depends on the adoption of digital payments by gender.
- The likelihood of using cash depends on the adoption of digital payments based on educational level.
- The likelihood of using cash depends on the adoption of digital payments in rural and urban areas.
- The likelihood of using cash depends on the adoption of digital payments based on internet access.
4. Results
4.1. Regression Results
4.2. Results of Simulation of Scenarios on the Probability of Using Cash Based on the Use of Digital Payments
- Scenario 1. The probability of using cash, conditioned on whether or not to use digital payments, depends on people’s income level.
- Scenario 2. The probability of using cash depends on whether or not you use digital payments, depending on the age of the people.
- Scenario 3. The likelihood of using cash depends on whether or not you use digital payments, depending on the gender of the people.
- Scenario 4. The probability of using cash depends on whether or not you use digital payments, depending on people’s educational level.
- Scenario 5. Probability of using cash, conditioned on whether or not to use digital payments, depending on the area of residence of the people.
- Scenario 6. Probability of using cash, conditioned on whether or not to use digital payments, depending on people’s availability of internet access.
5. Discussion of the Results
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| AME | Medium marginal effects |
| A2A | Account by account |
| FPS | Faster payment service |
| Fintech | Financial technology |
| LAC | Latin America and the Caribbean |
| SMEs | Micro, Small and Medium Enterprises |
Appendix A
| Economy | N | Made or Received a Digital Payment | Cash Use |
|---|---|---|---|
| Argentina | 1003 | 0.773 | 0.321 |
| Bolivia | 1000 | 0.626 | 0.354 |
| Brazil | 1002 | 0.852 | 0.203 |
| Chile | 1000 | 0.822 | 0.3 |
| Colombia | 1000 | 0.61 | 0.334 |
| Costa Rica | 1001 | 0.67 | 0.268 |
| Dominican Republic | 1000 | 0.409 | 0.426 |
| Ecuador | 1000 | 0.568 | 0.356 |
| El Salvador | 1002 | 0.295 | 0.547 |
| Guatemala | 1000 | 0.275 | 0.454 |
| Honduras | 1000 | 0.317 | 0.313 |
| Jamaica | 502 | 0.518 | 0.355 |
| Mexico | 1000 | 0.382 | 0.402 |
| Nicaragua | 1007 | 0.238 | 0.504 |
| Panama | 1002 | 0.396 | 0.385 |
| Paraguay | 1000 | 0.481 | 0.527 |
| Peru | 1000 | 0.491 | 0.426 |
| Uruguay | 1000 | 0.681 | 0.428 |
Appendix B
| Variables | (1) | (2) | (3) | (4) | (5) | (6) | (7) |
|---|---|---|---|---|---|---|---|
| (1) Any payment | 1.000 | ||||||
| (2) Female | −0.104 * | 1.000 | |||||
| (0.000) | |||||||
| (3) Age | −0.047 * | −0.016 * | 1.000 | ||||
| (0.000) | (0.034) | ||||||
| (4) Educate | 0.280 * | −0.051 * | −0.193 * | 1.000 | |||
| (0.000) | (0.000) | (0.000) | |||||
| (5) inc_q | 0.222 * | −0.145 * | 0.042 * | 0.276 * | 1.000 | ||
| (0.000) | (0.000) | (0.000) | (0.000) | ||||
| (6) internetaccess_1 | 0.342 * | −0.055 * | −0.298 * | 0.326 * | 0.216 * | 1.000 | |
| (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |||
| (7) Rural | −0.202 * | 0.047 * | 0.011 | −0.201 * | −0.136 * | −0.213 * | 1.000 |
| (0.000) | (0.000) | (0.122) | (0.000) | (0.000) | (0.000) |
| FIV | 1/VIF | |
|---|---|---|
| anydigpayment | 1.348 | 0.742 |
| Women | 1.046 | 0.956 |
| Age | 1.211 | 0.826 |
| Educ | 1.333 | 0.75 |
| Inc Q | 1.191 | 0.839 |
| Internet Access 1 | 1.405 | 0.712 |
| rural | 1.321 | 0.757 |
| 2. Economy No | 1.921 | 0.521 |
| 3. Economy number | 1.895 | 0.528 |
| 4. Economy number | 1.917 | 0.522 |
| 5. Economy number | 1.926 | 0.519 |
| 6. Economy number | 1.893 | 0.528 |
| 7. Economy number | 1.958 | 0.511 |
| 8. Economy number | 1.928 | 0.519 |
| 9. Economy number | 2.047 | 0.489 |
| 10. Economic Number | 2.022 | 0.495 |
| 11. Economic Num | 2.087 | 0.479 |
| 12. Num Economic | 1.502 | 0.666 |
| 13. Economic Num | 1.986 | 0.503 |
| 14. Economy number | 2.098 | 0.477 |
| 15. Economic Number | 2.002 | 0.5 |
| 16. Num Economic | 2.023 | 0.494 |
| 17. Economic Num | 1.962 | 0.51 |
| 18. Economic number | 1.926 | 0.519 |
| Medium FIV | 1.754 | . |
Appendix C
| VARIABLES | High Digitalization Countries | Digitalization in the Media Countries | Low Digitalization Countries |
|---|---|---|---|
| Any digital payment (Yes = 1) | −0.129 *** | −0.0682 *** | −0.0837 *** |
| (0.0215) | (0.0147) | (0.0233) | |
| Gender (Female = 1) | −0.0289 * | −0.00852 | −0.0486 ** |
| (0.0174) | (0.0139) | (0.0204) | |
| Age | 0.00472 * | 0.0144 *** | 0.0167 *** |
| (0.00254) | (0.00195) | (0.00278) | |
| Age 2 | −3.19 × 10−5 | −0.000110 *** | −0.000139 *** |
| (2.76 × 10−5) | (2.14 × 10−5) | (3.00 × 10−5) | |
| Educational level | |||
| Primary or secondary (Yes = 1) | 0.193 *** | 0.0313 | 0.0679 * |
| (0.0287) | (0.0243) | (0.0369) | |
| Secondary (Yes = 1) | 0.120 *** | 0.0520 *** | 0.0783 ** |
| (0.0213) | (0.0198) | (0.0344) | |
| University (Yes = 1) | |||
| Income quintile | |||
| Q1 20% poorer (Yes = 1) | |||
| Q2 Second 20% (Yes = 1) | 0.0368 | 0.0633 *** | 0.0502 |
| (0.0291) | (0.0226) | (0.0319) | |
| Q3 20% Central (Yes = 1) | −0.00172 | 0.0996 *** | 0.113 *** |
| (0.0291) | (0.0225) | (0.0306) | |
| Q4 Quarter 20% (Yes = 1) | −0.0186 | 0.0732 *** | 0.109 *** |
| (0.0274) | (0.0227) | (0.0305) | |
| Q5 20% richer (Yes = 1) | −0.0908 *** | 0.0169 | 0.130 *** |
| (0.0288) | (0.0235) | (0.0301) | |
| Area | |||
| Rural area (Yes = 1) | 0.0486 | 0.0384 ** | 0.0126 |
| (0.0343) | (0.0172) | (0.0214) | |
| Urban area (Yes = 1) | - | - | - |
| Internet access (Yes = 1) | 0.0392 | 0.0750 *** | 0.0877 *** |
| (0.0290) | (0.0172) | (0.0223) | |
| Constant | |||
| Control of the country | Yes | Yes | Yes |
| Observations | 5995 | 7498 | 4005 |
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| Variable | Average | Age Level Development |
|---|---|---|
| Cash Use (Yes = 1) | 0.474 | 0.499 |
| Made or received a digital payment (Yes = 1) | 0.541 | 0.498 |
| Gender (Female = 1) | 0.577 | 0.494 |
| Age | 41.267 | 17.307 |
| Income quintile | ||
| 20% Poorest | 0.165 | 0.371 |
| Second 20% | 0.171 | 0.377 |
| 20% intermediate | 0.185 | 0.389 |
| Quarter 20% | 0.219 | 0.414 |
| 20% richer | 0.265 | 0.438 |
| Educational level | ||
| Primary or secondary | 0.294 | 0.456 |
| Secondary | 0.537 | 0.498 |
| University | 0.167 | 0.373 |
| Area | ||
| Rural (Yes = 1) | 0.201 | 0.401 |
| Has internet access (Yes = 1) | 0.731 | 0.444 |
| Observations | 17.498 | |
| VARIABLES (Y = Cash Use) | Coefficients | Effects of the Marginals |
|---|---|---|
| Any digital payment (Yes = 1) | −0.386 *** | −0.0917 *** |
| (0.0461) | (0.0109) | |
| Gender (Female = 1) | −0.104 ** | −0.0246 ** |
| (0.0412) | (0.00968) | |
| Age | 0.0505 *** | 0.0119 *** |
| (0.00597) | (0.00138) | |
| Age 2 | −0.000396 *** | −9.32 × 10−5 *** |
| (6.47 × 10−5) | (1.51 × 10−5) | |
| Educational level | ||
| Primary or secondary (Yes = 1) | 0.452 *** | 0.107 *** |
| (0.0702) | (0.0164) | |
| Secondary (Yes = 1) | 0.388 *** | 0.0898 *** |
| (0.0588) | (0.0133) | |
| University (Yes = 1) | - | - |
| Income quintile | ||
| Q1 20% poorer (Yes = 1) | - | - |
| Q2 Second 20% (Yes = 1) | 0.218 *** | 0.0514 *** |
| (0.0684) | (0.0160) | |
| Q3 20% Central (Yes = 1) | 0.285 *** | 0.0671 *** |
| (0.0682) | (0.0160) | |
| Q4 Quarter 20% (Yes = 1) | 0.209 *** | 0.0491 *** |
| (0.0668) | (0.0157) | |
| Q5 20% richer (Yes = 1) | 0.0362 | 0.00852 |
| (0.0687) | (0.0162) | |
| Area | ||
| Rural area (Yes = 1) | 0.0924 * | 0.0218 * |
| (0.0537) | (0.0127) | |
| Urban area (Yes = 0) | - | - |
| Internet access (Yes = 1) | 0.321 *** | 0.0746 *** |
| (0.0546) | (0.0125) | |
| Constant | −1.901 *** | |
| (0.191) | ||
| Country of control | Yes | Yes |
| Observations | 17,498 | 17,498 |
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Rubio, J.; Tulcanaza-Prieto, A.B. Digital Payments, Cash Substitution and Sustainable Financial Inclusion in Latin America and the Caribbean. Sustainability 2026, 18, 5172. https://doi.org/10.3390/su18105172
Rubio J, Tulcanaza-Prieto AB. Digital Payments, Cash Substitution and Sustainable Financial Inclusion in Latin America and the Caribbean. Sustainability. 2026; 18(10):5172. https://doi.org/10.3390/su18105172
Chicago/Turabian StyleRubio, Jeniffer, and Ana Belén Tulcanaza-Prieto. 2026. "Digital Payments, Cash Substitution and Sustainable Financial Inclusion in Latin America and the Caribbean" Sustainability 18, no. 10: 5172. https://doi.org/10.3390/su18105172
APA StyleRubio, J., & Tulcanaza-Prieto, A. B. (2026). Digital Payments, Cash Substitution and Sustainable Financial Inclusion in Latin America and the Caribbean. Sustainability, 18(10), 5172. https://doi.org/10.3390/su18105172

