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Determinants of card payments

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  • Łukasz Goczek
  • Bartosz Witkowski

Abstract

Although the development of the card payment system allows for lowering the costs of money circulation and thereby leads to significant economic gains, relatively small amount of research has been dedicated to the analysis of the determinants of this development. Therefore, the aim of the article is to seek cross-country determinants of retail card payments focusing on trust in the system. The article concentrates on two econometric models. One is constructed with the use of representative population survey data for Poland, the other is based on panel data from the EU countries in the years 2000--2012.

Suggested Citation

  • Łukasz Goczek & Bartosz Witkowski, 2016. "Determinants of card payments," Applied Economics, Taylor & Francis Journals, vol. 48(16), pages 1530-1543, April.
    • Handle: RePEc:taf:applec:v:48:y:2016:i:16:p:1530-1543
    DOI: 10.1080/00036846.2015.1102846
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    References listed on IDEAS

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    Cited by:

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    2. Ma, Yechi & Ding, Yibing & Bu, Ziwen & Li, Suyang, 2024. "Political freedom and financial inclusion: Unraveling social trust and political rent-seeking," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 46-65.
    3. Yulia Titova & Delia Cornea & Sébastien Lemeunier, 2021. "What Factors Keep Cash Alive in the European Union?," De Economist, Springer, vol. 169(3), pages 291-317, August.
    4. Beata Swiecka & Simon Grima, 2019. "Factors Affecting the Consumers’ Choice of Payment Instrument in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 179-198.
    5. Świecka, Beata & Terefenko, Paweł & Paprotny, Dominik, 2021. "Transaction factors’ influence on the choice of payment by Polish consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    6. Kajol, K. & Singh, Ranjit & Paul, Justin, 2022. "Adoption of digital financial transactions: A review of literature and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    7. Baranowski Paweł & Korczak Karol & Zając Jarosław, 2020. "Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland," Business Systems Research, Sciendo, vol. 11(1), pages 73-88, March.
    8. Jacek Osiewalski & Jerzy Marzec, 2019. "Joint modelling of two count variables when one of them can be degenerate," Computational Statistics, Springer, vol. 34(1), pages 153-171, March.

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