Detection of Financial Inclusion Vulnerable Rural Areas through an Access to Cash Index: Solutions Based on the Pharmacy Network and a CBDC. Evidence Based on Ávila (Spain)
Abstract
:1. Introduction
2. Advantages and Disadvantages Derived from the Elimination of Cash
3. Financial Inclusion and Use of Cash
Methodology: Detection of Vulnerable Areas of Access to Cash
- All information related to banking services in the province of Ávila was analyzed and collected. This included bank offices, savings banks (this figure does not exist in the studies of the authors cited above), and ATMs that dispense cash. In this case, no distinction was made between free ATMs or fee-charging ATMs, and there was no penalty in the index, as other authors have included, when considering fee-charging ATMs (The reason for the non-differentiation was the following: In the Spanish banking system, clients of a bank can withdraw cash at ATMs of another bank or savings bank of which they are not clients with or without a commission, provided that the financial entity is part of the same means of payment system (for example, EURO 6000 or System 4B). However, if certain amounts are exceeded in the cash withdrawal (60, 80, or 100 euros), the client who withdraws money from a bank/savings bank of which he is not a client does not bear the commission. The cash withdrawal fee is borne by the customer’s bank/cashier, and if it exceeds the previous figures, the fee is not passed on to the customer. This is the reason why the withdrawal of cash is “free” or without commission or cost). Postal mail offices were also taken into account, since they provide banking services to citizens, and, additionally, businesses that offer “cashback” services were included, although, it should be noted that this is not a mode that is widely used in Spain, unlike in Anglo-Saxon areas of the world. The appendix presents tables with the data collected for each of the categories (see Table A1).
- Once all these data were collated, we proceeded to reflect them on a map. The territorial extension features the municipal term, which is the center of the population. This can be seen in the next section of results analysis.
- Calculation of the access to cash index was carried out. Once the number of bank branches, ATMs, post offices, or cashback points found in each municipal term were quantified, we could calculate an index of access to cash in each of the municipalities in the province of Ávila.
4. Data Collection and Analysis
4.1. Cash Access Maps
4.2. Access to Cash Index and the Detection of Vulnerable Areas
5. Proposal for Sustainable Solutions to Increase the Access to Cash Index in Vulnerable Areas
- In the short term, we recommend using the Spanish pharmacy network to provide access points for cash, given the extensive presence of the network in the territory.
- In the medium- to long-term, we recommend the possible implementation of a virtual currency backed by the Central Bank that is present on users’ mobile phones, with which they can make payments using digital cash (Like the Chinese virtual currency (CBDC) that is already operating in tests).
5.1. Expansion of Cashback Points through the Pharmacy Network
5.2. Implementation of a CBDC to Increase Access to Cash
6. Discussion of Results
7. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A
Municipality | Bank Branches | Post Offices | ATMs | Cash Back | Access Cash Index | Pharmacies | Access Cash Index (Pharmacies) |
---|---|---|---|---|---|---|---|
Adanero | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
La Adrada | 3 | 0 | 3 | 0 | 12 | 1 | 13 |
Albornos | 0 | 0 | 0 | 0 | 0 | 0 | |
Aldeanueva de Santa Cruz | 0 | 0 | 0 | 0 | 0 | 0 | |
Aldeaseca | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
La Aldehuela | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Amavida | 0 | 0 | 0 | 0 | 0 | 0 | |
El Arenal | 1 | 0 | 1 | 0 | 4 | 1 | 5 |
Arenas de San Pedro | 5 | 1 | 5 | 2 | 24 | 3 | 27 |
Arevalillo | 0 | 0 | 0 | 0 | 0 | 0 | |
Arévalo | 6 | 1 | 11 | 6 | 47 | 4 | 51 |
Aveinte | 0 | 0 | 0 | 0 | 0 | 0 | |
Avellaneda | 0 | 0 | 0 | 0 | 0 | 0 | |
Ávila | 38 | 1 | 66 | 19 | 257 | 24 | 281 |
El Barco de Ávila | 5 | 1 | 6 | 1 | 26 | 2 | 28 |
El Barraco | 3 | 0 | 3 | 1 | 13 | 1 | 14 |
Barromán | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Becedas | 1 | 0 | 0 | 0 | 1 | 1 | 2 |
Becedillas | 0 | 0 | 0 | 0 | 0 | 0 | |
Bercial de Zapardiel | 0 | 0 | 0 | 0 | 0 | 0 | |
Las Berlanas | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Bernuy-Zapardiel | 0 | 0 | 0 | 0 | 0 | 0 | |
Berrocalejo de Aragona | 0 | 0 | 0 | 0 | 0 | 0 | |
Blascomillán | 0 | 0 | 0 | 0 | 0 | 0 | |
Blasconuño de Matacabras | 0 | 0 | 0 | 0 | 0 | 0 | |
Blascosancho | 0 | 0 | 0 | 0 | 0 | 0 | |
El Bohodón | 0 | 0 | 0 | 0 | 0 | 0 | |
Bohoyo | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Bonilla de la Sierra | 0 | 0 | 0 | 0 | 0 | 0 | |
Brabos | 0 | 0 | 0 | 0 | 0 | 0 | |
Bularros | 0 | 0 | 0 | 0 | 0 | 0 | |
Burgohondo | 1 | 0 | 1 | 0 | 4 | 1 | 5 |
Cabezas de Alambre | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Cabezas del Pozo | 0 | 0 | 0 | 0 | 0 | 0 | |
Cabezas del Villar | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Cabizuela | 0 | 0 | 0 | 0 | 0 | 0 | |
Canales | 0 | 0 | 0 | 0 | 0 | 0 | |
Candeleda | 4 | 0 | 5 | 0 | 19 | 2 | 21 |
Cantiveros | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Cardeñosa | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
La Carrera | 0 | 0 | 0 | 0 | 0 | 0 | |
Casas del Puerto | 0 | 0 | 0 | 0 | 0 | 0 | |
Casasola | 0 | 0 | 0 | 0 | 0 | 0 | |
Casavieja | 0 | 0 | 0 | 1 | 1 | 1 | 2 |
Casillas | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Castellanos de Zapardiel | 0 | 0 | 0 | 0 | 0 | 0 | |
Cebreros | 3 | 1 | 4 | 2 | 19 | 2 | 21 |
Cepeda la Mora | 0 | 0 | 0 | 0 | 0 | 0 | |
Cillán | 0 | 0 | 0 | 0 | 0 | 0 | |
Cisla | 0 | 0 | 0 | 0 | 0 | 0 | |
La Colilla | 0 | 0 | 0 | 0 | 0 | 0 | |
Collado de Contreras | 0 | 0 | 0 | 0 | 0 | 0 | |
Collado del Mirón | 0 | 0 | 0 | 0 | 0 | 0 | |
Constanzana | 0 | 0 | 0 | 0 | 0 | 0 | |
Crespos | 1 | 0 | 1 | 0 | 4 | 1 | 5 |
Cuevas del Valle | 0 | 0 | 0 | 1 | 1 | 1 | 2 |
Chamartín | 0 | 0 | 0 | 0 | 0 | 0 | |
Diego del Carpio | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Donjimeno | 0 | 0 | 0 | 0 | 0 | 0 | |
Donvidas | 0 | 0 | 0 | 0 | 0 | 0 | |
Espinosa de los Caballeros | 0 | 0 | 0 | 0 | 0 | 0 | |
Flores de Ávila | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Fontiveros | 2 | 0 | 2 | 0 | 8 | 1 | 9 |
Fresnedilla | 0 | 0 | 0 | 0 | 0 | 0 | |
El Fresno | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Fuente el Saúz | 0 | 0 | 0 | 0 | 0 | 0 | |
Fuentes de Año | 0 | 0 | 0 | 0 | 0 | 0 | |
Gallegos de Altamiros | 0 | 0 | 0 | 0 | 0 | 0 | |
Gallegos de Sobrinos | 0 | 0 | 0 | 0 | 0 | 0 | |
Garganta del Villar | 0 | 0 | 0 | 0 | 0 | 0 | |
Gavilanes | 0 | 0 | 0 | 1 | 1 | 1 | 2 |
Gemuño | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Gil García | 0 | 0 | 0 | 0 | 0 | 0 | |
Gilbuena | 0 | 0 | 0 | 0 | 0 | 0 | |
Gimialcón | 0 | 0 | 0 | 0 | 0 | 0 | |
Gotarrendura | 0 | 0 | 0 | 0 | 0 | 0 | |
Grandes y San Martín | 0 | 0 | 0 | 0 | 0 | 0 | |
Guisando | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Gutierre-Muñoz | 0 | 0 | 0 | 0 | 0 | 0 | |
Hernansancho | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Herradón de Pinares | 0 | 0 | 0 | 0 | 0 | 0 | |
Herreros de Suso | 0 | 0 | 0 | 1 | 1 | 1 | 2 |
Higuera de las Dueñas | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
La Hija de Dios | 0 | 0 | 0 | 0 | 0 | 0 | |
La Horcajada | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Horcajo de las Torres | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
El Hornillo | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
El Hoyo de Pinares | 1 | 0 | 1 | 0 | 4 | 1 | 5 |
Hoyocasero | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Hoyorredondo | 0 | 0 | 0 | 0 | 0 | 0 | |
Hoyos de Miguel Muñoz | 0 | 0 | 0 | 0 | 0 | 0 | |
Hoyos del Collado | 0 | 0 | 0 | 0 | 0 | 0 | |
Hoyos del Espino | 0 | 0 | 0 | 1 | 1 | 1 | 2 |
Hurtumpascual | 0 | 0 | 0 | 0 | 0 | 0 | |
Junciana | 0 | 0 | 0 | 0 | 0 | 0 | |
Langa | 0 | 0 | 0 | 1 | 1 | 1 | 2 |
Lanzahíta | 1 | 0 | 1 | 0 | 4 | 4 | |
El Losar del Barco | 0 | 0 | 0 | 0 | 0 | 0 | |
Los Llanos de Tormes | 0 | 0 | 0 | 0 | 0 | 0 | |
Madrigal de las Altas Torres | 2 | 0 | 2 | 0 | 8 | 1 | 9 |
Maello | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Malpartida de Corneja | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Mamblas | 0 | 0 | 0 | 0 | 0 | 0 | |
Mancera de Arriba | 0 | 0 | 0 | 0 | 0 | 0 | |
Manjabálago | 0 | 0 | 0 | 0 | 0 | 0 | |
Marlín | 0 | 0 | 0 | 0 | 0 | 0 | |
Martiherrero | 0 | 0 | 0 | 0 | 0 | 0 | |
Martínez | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Mediana de Voltoya | 0 | 0 | 0 | 0 | 0 | 0 | |
Medinilla | 0 | 0 | 0 | 0 | 0 | 0 | |
Mengamuñoz | 0 | 0 | 0 | 0 | 0 | 0 | |
Mesegar de Corneja | 0 | 0 | 0 | 0 | 0 | 0 | |
Mijares | 1 | 0 | 2 | 0 | 7 | 1 | 8 |
Mingorría | 1 | 0 | 1 | 0 | 4 | 1 | 5 |
El Mirón | 0 | 0 | 0 | 0 | 0 | 0 | |
Mironcillo | 0 | 0 | 0 | 0 | 0 | 0 | |
Mirueña de los Infanzones | 0 | 0 | 0 | 0 | 0 | 0 | |
Mombeltrán | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Monsalupe | 0 | 0 | 0 | 0 | 0 | 0 | |
Moraleja de Matacabras | 0 | 0 | 0 | 0 | 0 | 0 | |
Muñana | 2 | 0 | 2 | 0 | 8 | 1 | 9 |
Muñico | 0 | 0 | 0 | 0 | 0 | 0 | |
Muñogalindo | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Muñogrande | 0 | 0 | 0 | 0 | 0 | 0 | |
Muñomer del Peco | 0 | 0 | 0 | 0 | 0 | 0 | |
Muñopepe | 0 | 0 | 0 | 0 | 0 | 0 | |
Muñosancho | 0 | 0 | 0 | 0 | 0 | 0 | |
Muñotello | 0 | 0 | 0 | 0 | 0 | 0 | |
Narrillos del Álamo | 0 | 0 | 0 | 0 | 0 | 0 | |
Narrillos del Rebollar | 0 | 0 | 0 | 0 | 0 | 0 | |
Narros de Saldueña | 0 | 0 | 0 | 0 | 0 | 0 | |
Narros del Castillo | 0 | 0 | 0 | 0 | 0 | 0 | |
Narros del Puerto | 0 | 0 | 0 | 0 | 0 | 0 | |
Nava de Arévalo | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Nava del Barco | 0 | 0 | 0 | 0 | 0 | 0 | |
Navacepedilla de Corneja | 0 | 0 | 0 | 0 | 0 | 0 | |
Navadijos | 0 | 0 | 0 | 0 | 0 | 0 | |
Navaescurial | 0 | 0 | 0 | 0 | 0 | 0 | |
Navahondilla | 0 | 0 | 0 | 0 | 0 | 0 | |
Navalacruz | 0 | 0 | 0 | 0 | 0 | 0 | |
Navalmoral de la Sierra | 0 | 0 | 0 | 1 | 1 | 1 | 2 |
Navalonguilla | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Navalosa | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Navalperal de Pinares | 1 | 0 | 1 | 0 | 4 | 1 | 5 |
Navalperal de Tormes | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Navaluenga | 3 | 0 | 3 | 2 | 14 | 1 | 15 |
Navaquesera | 0 | 0 | 0 | 0 | 0 | 0 | |
Navarredonda de Gredos | 1 | 0 | 1 | 1 | 5 | 1 | 6 |
Navarredondilla | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Navarrevisca | 1 | 0 | 1 | 0 | 4 | 1 | 5 |
Las Navas del Marqués | 5 | 1 | 7 | 2 | 30 | 2 | 32 |
Navatalgordo | 0 | 0 | 0 | 0 | 0 | 0 | |
Navatejares | 0 | 0 | 0 | 0 | 0 | 0 | |
Neila de San Miguel | 0 | 0 | 0 | 0 | 0 | 0 | |
Niharra | 0 | 0 | 0 | 1 | 1 | 1 | 2 |
Ojos-Albos | 0 | 0 | 0 | 0 | 0 | 0 | |
Orbita | 0 | 0 | 0 | 0 | 0 | 0 | |
El Oso | 0 | 0 | 0 | 0 | 0 | 0 | |
Padiernos | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Pajares de Adaja | 0 | 0 | 0 | 0 | 0 | 0 | |
Palacios de Goda | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Papatrigo | 1 | 0 | 0 | 0 | 1 | 1 | 2 |
El Parral | 0 | 0 | 0 | 0 | 0 | 0 | |
Pascualcobo | 0 | 0 | 0 | 0 | 0 | 0 | |
Pedro Bernardo | 1 | 0 | 1 | 0 | 4 | 4 | |
Pedro-Rodríguez | 0 | 0 | 0 | 0 | 0 | 0 | |
Peguerinos | 0 | 0 | 0 | 1 | 1 | 1 | |
Peñalba de Ávila | 0 | 0 | 0 | 0 | 0 | 0 | |
Piedrahíta | 4 | 1 | 5 | 1 | 22 | 1 | 23 |
Piedralaves | 1 | 0 | 1 | 0 | 4 | 1 | 5 |
Poveda | 0 | 0 | 0 | 0 | 0 | 0 | |
Poyales del Hoyo | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Pozanco | 0 | 0 | 0 | 0 | 0 | 0 | |
Pradosegar | 0 | 0 | 0 | 0 | 0 | 0 | |
Puerto Castilla | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Rasueros | 0 | 0 | 0 | 0 | 0 | 0 | |
Riocabado | 0 | 0 | 0 | 0 | 0 | 0 | |
Riofrío | 0 | 0 | 0 | 0 | 0 | 0 | |
Rivilla de Barajas | 0 | 0 | 0 | 0 | 0 | 0 | |
Salobral | 0 | 0 | 0 | 0 | 0 | 0 | |
Salvadiós | 0 | 0 | 0 | 0 | 0 | 0 | |
San Bartolomé de Béjar | 0 | 0 | 0 | 0 | 0 | 0 | |
San Bartolomé de Corneja | 0 | 0 | 0 | 0 | 0 | 0 | |
San Bartolomé de Pinares | 1 | 0 | 1 | 0 | 4 | 1 | 5 |
San Esteban de los Patos | 0 | 0 | 0 | 0 | 0 | 0 | |
San Esteban de Zapardiel | 0 | 0 | 0 | 0 | 0 | 0 | |
San Esteban del Valle | 1 | 0 | 1 | 1 | 5 | 1 | 6 |
San García de Ingelmos | 0 | 0 | 0 | 0 | 0 | 0 | |
San Juan de Gredos | 0 | 0 | 0 | 0 | 0 | 0 | |
San Juan de la Encinilla | 0 | 0 | 0 | 0 | 0 | 0 | |
San Juan de la Nava | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
San Juan del Molinillo | 0 | 0 | 0 | 0 | 0 | 0 | |
San Juan del Olmo | 0 | 0 | 0 | 0 | 0 | 0 | |
San Lorenzo de Tormes | 0 | 0 | 0 | 0 | 0 | 0 | |
San Martín de la Vega del Alberche | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
San Martín del Pimpollar | 0 | 0 | 0 | 0 | 0 | 0 | |
San Miguel de Corneja | 0 | 0 | 0 | 0 | 0 | 0 | |
San Miguel de Serrezuela | 0 | 0 | 0 | 0 | 0 | 0 | |
San Pascual | 0 | 0 | 0 | 0 | 0 | 0 | |
San Pedro del Arroyo | 3 | 0 | 3 | 1 | 13 | 1 | 14 |
San Vicente de Arévalo | 0 | 0 | 0 | 0 | 0 | 0 | |
Sanchidrián | 0 | 0 | 0 | 1 | 1 | 1 | 2 |
Sanchorreja | 0 | 0 | 0 | 0 | 0 | 0 | |
Santa Cruz de Pinares | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Santa Cruz del Valle | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Santa María de los Caballeros | 0 | 0 | 0 | 0 | 0 | 0 | |
Santa María del Arroyo | 0 | 0 | 0 | 0 | 0 | 0 | |
Santa María del Berrocal | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Santa María del Cubillo | 0 | 0 | 0 | 0 | 0 | 0 | |
Santa María del Tiétar | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Santiago del Collado | 0 | 0 | 0 | 0 | 0 | 0 | |
Santiago de Tormes | 0 | 0 | 0 | 0 | 0 | 0 | |
Santo Domingo de las Posadas | 0 | 0 | 0 | 0 | 0 | 0 | |
Santo Tomé de Zabarcos | 0 | 0 | 0 | 0 | 0 | 0 | |
La Serrada | 0 | 0 | 0 | 0 | 0 | 0 | |
Serranillos | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Sigeres | 0 | 0 | 0 | 0 | 0 | 0 | |
Sinlabajos | 0 | 0 | 0 | 0 | 0 | 0 | |
Solana de Ávila | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Solana de Rioalmar | 0 | 0 | 0 | 0 | 0 | 0 | |
Solosancho | 0 | 0 | 0 | 1 | 1 | 1 | 2 |
Sotalbo | 0 | 0 | 0 | 1 | 1 | 1 | |
Sotillo de la Adrada | 4 | 1 | 4 | 3 | 21 | 2 | 23 |
El Tiemblo | 3 | 0 | 4 | 2 | 17 | 3 | 20 |
Tiñosillos | 1 | 0 | 0 | 1 | 2 | 1 | 3 |
Tolbaños | 0 | 0 | 0 | 0 | 0 | 0 | |
Tormellas | 0 | 0 | 0 | 0 | 0 | 0 | |
Tornadizos de Ávila | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
La Torre | 0 | 0 | 0 | 0 | 0 | 0 | |
Tórtoles | 0 | 0 | 0 | 0 | 0 | 0 | |
Umbrías | 0 | 0 | 0 | 0 | 0 | 0 | |
Vadillo de la Sierra | 0 | 0 | 0 | 0 | 0 | 0 | |
Valdecasa | 0 | 0 | 0 | 0 | 0 | 0 | |
Vega de Santa María | 0 | 0 | 0 | 0 | 0 | 0 | |
Velayos | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Villaflor | 0 | 0 | 0 | 0 | 0 | 0 | |
Villafranca de la Sierra | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Villanueva de Ávila | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Villanueva de Gómez | 0 | 0 | 0 | 0 | 0 | 0 | |
Villanueva del Aceral | 0 | 0 | 0 | 0 | 0 | 0 | |
Villanueva del Campillo | 0 | 0 | 0 | 0 | 0 | 0 | |
Villar de Corneja | 0 | 0 | 0 | 0 | 0 | 0 | |
Villarejo del Valle | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Villatoro | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Viñegra de Moraña | 0 | 0 | 0 | 0 | 0 | 0 | |
Vita | 0 | 0 | 0 | 0 | 0 | 0 | |
Zapardiel de la Cañada | 0 | 0 | 0 | 0 | 0 | 0 | |
Zapardiel de la Ribera | 0 | 0 | 0 | 0 | 0 | 0 |
Age | Frequency | Percentage | Valid Percentage | Accumulated Percentage |
---|---|---|---|---|
<18 | 8 | 1.6 | 1.6 | 1.6 |
>65 | 16 | 3.1 | 3.1 | 4.7 |
18–24 | 68 | 13.3 | 13.3 | 18 |
25–34 | 174 | 3. 4 | 3. 4 | 52 |
35–44 | 114 | 22.3 | 22.3 | 74.2 |
45–54 | 60 | 11.7 | 11.7 | 85.9 |
55–64 | 72 | 14.1 | 14.1 | 100 |
Total | 512 | 100 | 100 |
Sex | Frequency | Percentage | Valid Percentage | Accumulated Percentage |
---|---|---|---|---|
Man | 226 | 44.1 | 44.1 | 44.1 |
Woman | 284 | 55.5 | 55.5 | 99.6 |
I prefer not to say | 2 | 0.4 | 0.4 | 100 |
Total | 512 | 100 | 100 |
Training Level (Studies) | Frequency | Percentage | Valid Percentage | Accumulated Percentage |
---|---|---|---|---|
Do not know, no answer | 8 | 1.6 | 1.6 | 1.6 |
Primary | 10 | 2 | 2 | 3.5 |
High school | 80 | 15.6 | 15.6 | 19.1 |
No studies | 2 | 0.4 | 0.4 | 19.5 |
University | 412 | 80.4 | 80.4 | 100 |
Total | 512 | 100 | 100 |
Current Main Occupation | Frequency | Percentage | Valid Percentage | Accumulated Percentage |
---|---|---|---|---|
Self-worker | 26 | 5.1 | 5.1 | 5.1 |
Unemployed | 32 | 6.3 | 6.3 | 11.3 |
Student | 66 | 12.9 | 12.9 | 24.2 |
Retired | 22 | 4.3 | 4.3 | 28.5 |
Do not know, no answer | 4 | 0.8 | 0.8 | 29.3 |
Others | 22 | 4.3 | 4.3 | 33.6 |
Active worker | 340 | 66.4 | 66.4 | 100 |
Total | 512 | 100 | 100 |
Income of the Family Unit | Frequency | Percentage | Valid Percentage | Accumulated Percentage |
---|---|---|---|---|
<€14,000 | 88 | 17.2 | 17.2 | 17.2 |
€14,000,001-25,000 | 4 | 0.8 | 0.8 | 18 |
€25,000.001-€ 35,000 | 166 | 32.4 | 32.4 | 50.4 |
€ 35,000.001-€ 50,000 | 104 | 20.3 | 20.3 | 70.7 |
€50,000.001-€ 100,000 | 98 | 19.1 | 19.1 | 89.8 |
>€100,000 | 52 | 10.2 | 10.2 | 100 |
Total | 512 | 100 | 100 |
Size of the Municipality of Residence | Frequency | Percentage | Valid Percentage | Accumulated Percentage |
---|---|---|---|---|
<1000 | 34 | 6.6 | 6.6 | 6.6 |
1000–10,000 | 36 | 7 | 7 | 13.7 |
10,000.1–50,000 | 112 | 21.9 | 21.9 | 35.5 |
50,000.1–100,000 | 330 | 64.5 | 64.5 | 100 |
Total | 512 | 100 | 100 |
Do you Know What a Virtual Currency Is? | Frequency | Percentage | Valid Percentage | Accumulated Percentage |
---|---|---|---|---|
No, I don’t know what a digital currency is. | 172 | 33.6 | 33.6 | 33.6 |
Yes, I know what a digital currency is. | 340 | 66.4 | 66.4 | 100 |
Total | 512 | 100 | 100 |
If the European Central Bank Launched a Virtual Currency: | Frequency | Percentage | Valid Percentage | Accumulated Percentage |
---|---|---|---|---|
I would reduce the use of traditional cash | 220 | 43 | 43 | 43 |
I would continue to use traditional cash (coins and bills) | 128 | 25 | 25 | 68 |
I would substitute traditional cash for digital cash | 164 | 32 | 32 | 100 |
Total | 512 | 100 | 100 |
Age | Sex | Training Level (Studies) | Current Main Occupation | Income of the Family Unit | Size of the Municipality of Residence | |
---|---|---|---|---|---|---|
Variance | 1859 | 0.260 | 0.216 | 1448 | 1574 | 1357 |
Skewness | 0.421 | −0.077 | −2066 | 1910 | 0.363 | −0.511 |
Standard error of skewness | 0.131 | 0.131 | 0.131 | 0.131 | 0.131 | 0.131 |
Kurtosis | −0.546 | −1676 | 7086 | 3217 | −0.678 | 0.526 |
Kurtosis standard error | 0.261 | 0.261 | 0.261 | 0.261 | 0.261 | 0.261 |
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Advantages of Eliminating Cash | Disadvantages of Eliminating Cash |
---|---|
Greater ease of the central bank to apply monetary policy. | Absolute dependence on electronic means for payments: network outages, power outages etc. |
Higher collection of the state, when “transactions” from the underground economy emerge. | Increase in inequality I: Exclusion of unprofitable clients for financial institutions. |
Crime reduction: Money laundering crimes, tax evasion and other illegal activities such as drug or arms trafficking. | Increase in inequality II: Difficulty in making transactions on the part of the elderly, people with disabilities, poor people with problems accessing bank accounts, etc. |
Technological innovation: new means of payment and official virtual currencies. | Privacy problems: access to data and customer transactions when everything is registered. |
Greater physical security for businesses, avoiding robberies since they do not have cash on their premises. | Security problems: Hacking and theft of customer data. |
Cost savings in issuing banknotes and coins. | Financial instability problems. |
Study | Country | Year | Author/s | Results/Conclusions |
---|---|---|---|---|
Comparative Analysis of the Changes in Cash Demand in Hungary. | Hungary | 2020 | [49] | The realistic goal for Hungary should primarily be to decelerate the expansion, as experiences show that a nominal decrease in cash volume requires the long-term and concurrent existence of several factors. |
¿Es la Eurozona un área óptima para suprimir el efectivo? Un análisis sobre la inclusión financiera y el uso de efectivo. | Eurozone | 2019 | [36] | Possible proposals that advocate the total elimination of cash in the Eurozone should be carried out gradually and with strong public support for sectors of the population with lower levels of income and education. |
The Acceptance Model toward Cashless Society in Thailand. | Thailand | 2019 | [50] | The acceptance of the cashless society in Thailand is high, and the industry is encouraged to try to continue in this direction. |
Building a Cashless Society: The Swedish Route to the Future of Cash Payments | Sweden | 2019 | [35] | consumers […] are seemingly more interested in using electronic services than cash. The laws and the system governing cash handling stimulate a reduction of cash. Demographics: Young people prefer electronic payments vs. elderly, who have a higher tendency to use cash. The alternatives to cash that are likely to become more attractive for consumers. |
A great leap of faith: The cashless agenda in Digital India | India | 2019 | [51] | The author shows concern about the rapid expansion of electronic money and the effects it can have on society, beyond the economic analysis of inclusion and use. |
Influence of Cashless Society Socialization toward Trust Transaction Culture in Jakarta, Indonesia | Indonesia | 2018 | [52] | People in Jakarta will not be too significant to trust the non-cash transaction system. It can be found that the heterogeneous Jakarta community with educational, occupational, and social levels is the factor determining the use of cash or not. |
Malaysia Towards Cashless Society. | Malaysia | 2018 | [53] | Consumers these days trust more on the cashless transaction. A cashless society, with all its benefits and drawbacks, is undeniably maturing in Malaysia. |
Mobile money, cashless society and financial inclusion: case study on Somalia and Kenya. | Somalia and Kenya | 2017 | [54] | The dissimilarity in the infrastructure, regulation, economic, social structure and political conditions can have great impact on the success and failure of the Mobile Money services. The success of mobile money operator means many unbanked people is reached, poor people get new financial service options and therefore their life will get better. |
A Coinless Society as a Bridge to a Cashless Society: A Korean Experiment. In Cash in East Asia | South Korea-east Asia | 2017 | [55] | Korea is well equipped with cashless payments. Korea has a high potential to realize not only a coinless society but also a cashless society. |
Prospects of Nigeria’s ICT Infrastructure for E-Commerce and Cashless Economy. | Nigeria | 2016 | [56] | Cashless policy needs to be fully implemented while public-private sectors collaboration and partnership should be strengthened especially at the national level. Education should be inculcated in the school curriculum right from the primary education to the tertiary institutions in order to increase the knowledge base and develop human capacity of the economy. |
Mapping mobile money in Rwanda: The Mvisa project. | Rwanda | 2016 | [57] | The goal of mVISA is to meet the needs of underserved and unbanked Rwandans by providing relevant, affordable and accessible financial services. It will allow clients to easily access their bank’s account via their phone and encourage non- account holders mainly rural folks to become bankable. The general public needs to know where to find an mVisa agent who can pay real cash withdrawn or transferred from remote accounts. |
Infrastructure that Allows Access to Cash | Score by Type of Infrastructure Present in the Municipality | Explanation of the Awarded Score |
---|---|---|
Bank Branches/Savings bank | 1 | Opening hours limit, they only deliver cash to clients of the bank or cashier, generally with time limits for this type of operations, in some cases with cost per operation of cash and not to any client. |
ATM | 3 | Available 24 h, available to anyone, not just customers. No cost (withdrawal fee) for clients. When you are not a customer of that entity, but you withdraw a certain amount in cash or more, the cash withdrawal operation is free (without commission). |
Post Office | 2 | Opening hours limit. They operate with many entities. |
Cash Back Point | 1 | Opening hours limit. It involves making a purchase in the business. |
Number of Bank Branches | Number of Municipalities and Bank Branches | % of Municipalities (with Bank Branches) |
---|---|---|
0 branches | 214 | 86.3 |
1 branch | 17 | 6.9 |
2 branches | 3 | 1.2 |
3 branches | 5 | 2.0 |
4 branches | 6 | 2.4 |
5 branches | 3 | 1.2 |
More than 5 branches | 2 | 0.8 |
Number of ATMs | Number of Municipalities and ATMs | % of Municipalities (ATMs) |
---|---|---|
0 ATMs | 217 | 87.5 |
1 ATM | 13 | 5.2 |
2 ATMs | 4 | 1.6 |
3 ATMs | 4 | 1.6 |
4 ATMs | 3 | 1.2 |
5 ATMs | 3 | 1.2 |
More than 5 ATMs | 4 | 1.6 |
Number of Post Offices | Number of Municipalities and Post Offices | % of Municipalities (Post Offices) |
---|---|---|
0 offices | 240 | 96.8 |
1 or more offices | 8 | 3.2 |
Number of Points with Cash Back | Number of Municipalities and Cash Back Points | % of Municipalities (Cash Back) |
---|---|---|
0 cashback points | 221 | 89.1 |
1 cashback point | 19 | 7.7 |
2 cashback points | 4 | 1.6 |
3 cashback points | 1 | 0.4 |
4 cashback points | 0 | 0.0 |
5 cashback points | 0 | 0.0 |
More than 5 cashback points | 2 | 0.8 |
Pharmacy | Number of Municipalities and Pharmacies | % of Municipalities (Pharmacies) |
---|---|---|
0 pharmacies | 156 | 62.9 |
1 pharmacy | 83 | 33.5 |
2 pharmacies | 5 | 2.0 |
3 or more pharmacies | 4 | 1.6 |
1. Do you Know What a Virtual Currency Is? | Frequency | Percentage |
---|---|---|
No, I don’t know what a digital currency is. | 172 | 33.6 |
Yes, I know what a digital currency is. | 340 | 66.4 |
2. If the European Central Bank launched a virtual currency, would you continue to use traditional cash, would you reduce it use in favor of digital or would you replace traditional cash with digital? | Frequency | Percentage |
I Would reduce the use of traditional cash | 220 | 43 |
I would continue to use traditional cash (coins and bills) | 128 | 25 |
I would substitute traditional cash for digital cash | 164 | 32 |
Total | 512 | 100 |
Sex | Age | Training Level (Studies) | ||||||
---|---|---|---|---|---|---|---|---|
Sex | Total | Percentage | Age Range (years) | Total | Percentage | Training level (studies) | Total | Percentage |
Man | 78 | 60.9 | <18 | 0 | 0 | Primary | 2 | 1.6 |
Woman | 48 | 37.5 | 18–24 | 18 | 14.1 | High school | 30 | 23.4 |
25–34 | 24 | 18.8 | University | 2 | 1.6 | |||
35–44 | 26 | 20.3 | No studies | 92 | 71.9 | |||
45–54 | 14 | 10.9 | Do not know, no answer | 2 | 1.6 | |||
55–64 | 38 | 29.7 | ||||||
>65 | 8 | 6.3 |
Current Main Occupation | Income of the Family Unit | Size of the Municipality of Residence | ||||||
---|---|---|---|---|---|---|---|---|
Total | Percentage | Total | Percentage | Total | Percentage | |||
Active worker | 74 | 57.8 | <€14,000 | 44 | 34.4 | <1000 | 20 | 15.6 |
Self-Worker | 12 | 9.4 | €14,000,001–25,000 | 36 | 28.1 | 1000–10,000 | 6 | 4.7 |
Student | 18 | 14.1 | €25,000.001–€35,000 | 22 | 17.2 | 10,000.1–50,000 | 26 | 20.3 |
Retired | 10 | 7.8 | €35,000.001–€50,000 | 14 | 10.9 | 50,000.1–100,000 | 76 | 59.4 |
Unemployed | 6 | 4.7 | €50,000.001–€100,000 | 12 | 9.4 | |||
Others | 6 | 4.7 | >€100,000 | 0 | 0.0 | |||
Do not know, no answer | 2 | 1.6 |
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Náñez Alonso, S.L.; Jorge-Vazquez, J.; Reier Forradellas, R.F. Detection of Financial Inclusion Vulnerable Rural Areas through an Access to Cash Index: Solutions Based on the Pharmacy Network and a CBDC. Evidence Based on Ávila (Spain). Sustainability 2020, 12, 7480. https://doi.org/10.3390/su12187480
Náñez Alonso SL, Jorge-Vazquez J, Reier Forradellas RF. Detection of Financial Inclusion Vulnerable Rural Areas through an Access to Cash Index: Solutions Based on the Pharmacy Network and a CBDC. Evidence Based on Ávila (Spain). Sustainability. 2020; 12(18):7480. https://doi.org/10.3390/su12187480
Chicago/Turabian StyleNáñez Alonso, Sergio Luis, Javier Jorge-Vazquez, and Ricardo Francisco Reier Forradellas. 2020. "Detection of Financial Inclusion Vulnerable Rural Areas through an Access to Cash Index: Solutions Based on the Pharmacy Network and a CBDC. Evidence Based on Ávila (Spain)" Sustainability 12, no. 18: 7480. https://doi.org/10.3390/su12187480
APA StyleNáñez Alonso, S. L., Jorge-Vazquez, J., & Reier Forradellas, R. F. (2020). Detection of Financial Inclusion Vulnerable Rural Areas through an Access to Cash Index: Solutions Based on the Pharmacy Network and a CBDC. Evidence Based on Ávila (Spain). Sustainability, 12(18), 7480. https://doi.org/10.3390/su12187480