Modeling the impact of external influence on green behaviour spreading in multilayer financial networks

Growing awareness of the impact of business activity on the environment increases the pressure for governing bodies to address this issue. One possibility is to encourage or force the market into green behaviours. However, it is often hard to predict how different actions affect the market. Thus, to help with that, in this paper, we have proposed the green behaviour spreading model in the bank-company multilayer network. This model allows assessing how various elements like the duration of external influence, targeted market segment, or intensity of action affect the outcome regarding market greening level. The model evaluation results indicate that governing bodies, depending on the market "openness" to green activities, can adjust the duration and intensity of the proposed action. The strength of the impact can be changed by the public or private authority with the use of obligatory or voluntary rules and the proportion of influenced banks. This research may be helpful in the process of creating the optimal setups and increasing the performance of greening policies implementation.

[1]  Xiaoyuan Liu,et al.  Agent-Based Modeling of a Multiagent Multilayer Endogenous Financial Network and Numerical Simulations , 2022, Discrete Dynamics in Nature and Society.

[2]  E. Jondeau,et al.  Greening the Swiss National Bank's Portfolio , 2021, Social Science Research Network.

[3]  D. Dumitrașcu,et al.  Adoption of Green Environmental Practices in Small and Medium-Sized Enterprises: Entrepreneur and Business Policies Patterns in Romania , 2021, Sustainability.

[4]  Ali Saleh ِAlshebami Evaluating the relevance of green banking practices on Saudi Banks’ green image: The mediating effect of employees’ green behaviour , 2021, Journal of Banking Regulation.

[5]  S. Thurner,et al.  Quantification of systemic risk from overlapping portfolios in the financial system , 2018, Journal of Financial Stability.

[6]  H. Stanley,et al.  Multilayer information spillover networks: measuring interconnectedness of financial institutions , 2020, Quantitative Finance.

[7]  Cristián Bravo,et al.  Multilayer Network Analysis for Improved Credit Risk Prediction , 2020, ArXiv.

[8]  Debabrata Ghosh,et al.  Product greening and pricing strategies of firms under green sensitive consumer demand and environmental regulations , 2020, Ann. Oper. Res..

[9]  Grigorios L. Kyriakopoulos,et al.  Investigating the environmental behavior of business and accounting university students , 2020 .

[10]  M. Gallegati,et al.  Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks , 2020 .

[11]  Jong Dae Kim,et al.  Transition towards green banking: role of financial regulators and financial institutions , 2020 .

[12]  Mei Sun,et al.  How conformity psychology and benefits affect individuals’ green behaviours from the perspective of a complex network , 2020 .

[13]  I. Monasterolo Climate Change and the Financial System , 2020, Annual Review of Resource Economics.

[14]  Xiong Xiong,et al.  Financial systemic risk measurement based on causal network connectedness analysis , 2019, International Review of Economics & Finance.

[15]  A. Amran,et al.  Green Banking and Islam: two sides of the same coin , 2019, Journal of Islamic Marketing.

[16]  Lixin Tian,et al.  Impacts of information diffusion on green behavior spreading in multiplex networks , 2019, Journal of Cleaner Production.

[17]  Jing Duan,et al.  Financial system modeling using deep neural networks (DNNs) for effective risk assessment and prediction , 2019, J. Frankl. Inst..

[18]  Chris U. Carmona,et al.  Interconnectedness and financial stability , 2019 .

[19]  T. Aste,et al.  The multilayer structure of corporate networks , 2019, New Journal of Physics.

[20]  Lixin Tian,et al.  Effects of awareness and policy on green behavior spreading in multiplex networks , 2019, Physica A: Statistical Mechanics and its Applications.

[21]  Yamir Moreno,et al.  Multilayer Networks in a Nutshell , 2018, Annual Review of Condensed Matter Physics.

[22]  Lixin Tian,et al.  Impact of negative information diffusion on green behavior adoption , 2018, Resources, Conservation and Recycling.

[23]  Ankita Srivastava,et al.  Consolidation in the Indian banking sector: evaluation of sustainable development readiness of the public sector banks in India , 2018 .

[24]  Teruyoshi Kobayashi,et al.  Network models of financial systemic risk: a review , 2017, Journal of Computational Social Science.

[25]  T. Lux A model of the topology of the bank – firm credit network and its role as channel of contagion , 2016 .

[26]  Anne-Caroline Hüser,et al.  Too Interconnected to Fail: A Survey of the Interbank Networks Literature , 2015 .

[27]  Shlomo Havlin,et al.  Network science: a useful tool in economics and finance , 2015, Mind & Society.

[28]  Iñaki Aldasoro,et al.  Multiplex Interbank Networks and Systemic Importance – an Application to European Data , 2015 .

[29]  M. H. Eken,et al.  The Effects of Regulations on the Performance of Banks: Evidence from the Turkish Banking Industry , 2015 .

[30]  Manuel Wörsdörfer 10 Years’ Equator Principles: A Critical Appraisal , 2013 .

[31]  T. Lux,et al.  Title : Hubs and resilience : towards more realistic models of the interbank markets , 2013 .

[32]  A. Tahbaz-Salehi,et al.  Systemic Risk and Stability in Financial Networks , 2013 .

[33]  Ravindra Meena Green Banking : As Initiative for Sustainable Development , 2013 .

[34]  G. Caldarelli,et al.  DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk , 2012, Scientific Reports.

[35]  F. Diebold,et al.  UNIVERSITY OF SOUTHERN CALIFORNIA Center for Applied Financial Economics (CAFE) On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms , 2011 .

[36]  R. May,et al.  Systemic risk in banking ecosystems , 2011, Nature.

[37]  M. Bowman The Role of the Banking Industry in Facilitating Climate Change Mitigation and the Transition to a Low-Carbon Global Economy , 2010 .

[38]  S. Donald,et al.  Green Management Matters Only if it Yieds More Green: An Economic/Strategic Perspective , 2009 .

[39]  S. Battiston,et al.  Credit Chains and Bankruptcy Propagation in Production Networks , 2007 .

[40]  Tobias Hahn,et al.  Approaches to corporate sustainability among German companies , 2006 .

[41]  Tara C. Kandpal,et al.  Effect of financial and fiscal incentives on the effective capital cost of solar energy technologies to the user , 2005 .

[42]  Fayyaz Hussain,et al.  STATE BANK OF PAKISTAN , 2004 .

[43]  Jon Kleinberg,et al.  Maximizing the spread of influence through a social network , 2003, KDD '03.

[44]  R. Hanel,et al.  Risk trading, network topology and banking regulation , 2003, cond-mat/0309581.

[45]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[46]  Jan Jaap Bouma,et al.  Sustainable Banking : The Greening of Finance , 2001 .

[47]  M. Porter,et al.  Toward a New Conception of the Environment-Competitiveness Relationship , 1995 .

[48]  Denis Smith,et al.  Greening the Business School , 1994 .

[49]  P. Shrivastava Greening Business Education , 1994 .