exigent
发表于 2025-3-27 01:02:36
The Effect of Board Diversity and ESG Engagement on Banks’ Profitability and Riskial and environmental demands and include them in company’s strategies is to have a diverse board (i.e., board members with different gender, age and nationality). However, this diversity might create frictions and worsen decision-making. Therefore, this research investigates the impact of board div
FILLY
发表于 2025-3-27 05:03:28
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aspect
发表于 2025-3-27 05:36:14
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PURG
发表于 2025-3-27 11:03:43
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doxazosin
发表于 2025-3-27 16:29:20
Is All That Glitters That “Green”? An Empirical Investigation of the Magnitude of Greenwashing in Bang for a cross-country dataset in the period 2016–2020. Then, regression analysis is performed to test whether firms, country and temporal-level factors influence banks’ greenwashing practices. The results suggest that big, more profitable banks located in advanced economies are more likely to engag
ELATE
发表于 2025-3-27 18:16:50
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套索
发表于 2025-3-28 01:50:12
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果核
发表于 2025-3-28 02:18:44
The Digitalization of the European Banking Industry: Some Evidenceemic context. This chapter examines the digital transformation of the European banking industry by focusing on the annual banks’ expenses on information technology (IT). Using a representative sample of European banks from 2017 to 2021, we find that the ratio of IT expenses to total operating expens
MUTED
发表于 2025-3-28 08:16:55
The Relation Between Patent Pledgeability and Credit Rationingders. We suggest that patent-backed loans can be used as a contracting device to reduce credit rationing in loan markets characterized by imperfect information. Patents have become among the most valuable assets of firms in high-technology industries. They determine the production of goods and conta
剧本
发表于 2025-3-28 11:28:02
Increasing the Predictive Power of Financial Distress models—The Case of the New Alert System Proposiate discriminant model and the National Council of Chartered Accountants and Accounting Experts’ predictors. Using a sample of 43 viable and 43 non-viable Italian SMEs, the authors compare the predictive accuracy of the mentioned models over the period 2015–2019. Based on the results, they elaborat