How inefficient is an inefficient credit process? An analysis of the Italian banking system
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Abstract
Suggested Citation
DOI: 10.1108/JRF-08-2020-0184
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Cited by:
- Polina Popova, 2024. "COVID-19, Corporate Non-performing Loans, and Corporate Lending Dynamics: Evidence from Russian Regions," HSE Working papers WP BRP 93/FE/2024, National Research University Higher School of Economics.
- Mirza, Nawazish & Umar, Muhammad & Afzal, Ayesha & Firdousi, Saba Fazal, 2023. "The role of fintech in promoting green finance, and profitability: Evidence from the banking sector in the euro zone," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 33-40.
- Li, Zhuolun, 2023. "Do geopolitical risk, green finance, and the rule of law affect the sustainable environment in China? Findings from the BARDL approach," Resources Policy, Elsevier, vol. 81(C).
- Du, Yuqiu & Wang, Wendi, 2023. "The role of green financing, agriculture development, geopolitical risk, and natural resource on environmental pollution in China," Resources Policy, Elsevier, vol. 82(C).
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Keywords
Banking industry; Credit monitoring; Stochastic frontier; Italian banks; Lending inefficiency; C14; C33; G21; G30;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G30 - Financial Economics - - Corporate Finance and Governance - - - General
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