Uncovering Effects of Hot Potatoes in Banking System: Arresting Die-Hard Issues

Abstract

This study is aimed to conceptually engineer the effects of hot potatoes (bad loans) in the banking system. The study’s research design uses elementary concepts of graph theory comprising of mappings of systemic behavior of contemporary banking. Issues have been formally underpinned, described, and visualized through directed and linear graphs. Findings of the study show that it is an inherent feature of the banking system to generate hot potatoes and allow them to sit there. It creates heat in the system by way of latency, turgescence, propagation, and concurrent cyclicality. These predicaments of systemic crises of banking deteriorate the sustainability of the system. The pilot study (using classical t-Test) conducted as part of this research has validated the theoretical argument aforementioned. The study provides new insights into these die-hard issues. It helps refine the agenda of future research in banking.

Research on quantitative evaluation of digital economy policy in China based on the PMC index model

“… Note: The formulation of Policy Type (X1) is based on reference [ 27 ]. The formulation of Policy Effectiveness (X2) is based on reference [ 28 ].…”

“…At present, there is relatively little literature on the evaluation of digital economy policies, and policy evaluation is the most important link in the process of public policy formulation and management [ 25 , 26 ]. It uses relevant research methods to systematically measure and judge the effectiveness of policy intervention and implementation [ 27 ]. Through the evaluation of digital economy policies, not only can scientific judgments be made on the value of the policies themselves [ 28 ], but also the actual effects of policy formulation and implementation can be tested [ 29 ].…”

The Effect of Digital Green Strategic Orientation On Digital Green Innovation Performance: From the Perspective of Digital Green Business Model Innovation

“…Therefore, the practical significance of multiple linear regression is greater than that of single linear regression. Therefore, this paper adopts multiple regression analysis to study the impact of DGSO (including three levels) on enterprises' DGIP, and the impact of DGBMI (including two levels) on enterprises' DGIP (Abbass et al, 2021). In this study, SPSS 21.0 was used for factor analysis, Amos 24.0 was used for data model analysis, and research conclusions were drawn based on the analysis results .…”

“…The current research on enterprise strategic orientation mainly defines and diversifies its elements through case analysis or empirical research, such as market orientation (Abbass et al, 2021), technology orientation (Zhou, 2021), employee orientation (Han & Gao, 2022), entrepreneurial orientation (Liu et al, 2022), product orientation (Yin et al, 2019). From a macro perspective, the relevant policies and development directions formulated by the government can affect the decision-making and R&D direction of enterprises (Abbass, Sharif, Song, Ali, Khan, & Amin, 2022;Abbass, Qasim, Song, Murshed, Mahmood, & Younis, 2022;Yin & Zhao, 2024).…”

The impact of digital financial inclusion and urbanization on agricultural mechanization: Evidence from counties of China

“…There is a financial exclusion problem in agriculture. Since the efficiency of the non-agricultural sector is higher than that of the agricultural sector, and the efficiency of the urban sector is higher than that of the rural sector [ 31 ], under the condition of profit-seeking [ 32 ], digital inclusive financial institutions will still invest capital elements into the non-agricultural sector and the urban sector. If digital inclusive financial institutions fail to effectively address the issue of excluding traditional financial products from the agricultural and rural sectors, the potential of digital financial inclusion in driving urbanization will be severely limited.…”