ADOPTION OF DIGITAL ECONOMIC POLICY BY OBTAINING INTEREST RATE MEASURE TO SAFEGUARD INFLATION IN THE CIRCULAR ECONOMY

Authors

  • Maria Afreen PhD (Financial Economics) Faculty of Economics and Business, University Malaysia Sarawak

Keywords:

Inflation, Interest Rate, Digital Economy, Circular Economy

Abstract

This study portrays the adoption of digital economic policy by obtaining interest rate measure to safeguard inflation in the circular economy in sovereign country. The task facing financial sector policymakers is further complicated by the fact that these innovations are still evolving and morphing as new technologies come into play. These developments call for improvements in oversight monitoring frameworks and active engagement with stakeholders to identify possible risks and remedial regulatory action leading to a prudential circular economy. The COVID-19 pandemic is accelerating the shift toward a more contactless environment and increasingly digital financial services, which will further strengthen the appeal of circular economy systems to providers of financial services. Companies applying this strategy redesign their products and manufacturing processes to maximize recoverability of the materials involved for use in new products. Often involves partnering with companies that have specific technological expertise or that may be best able to use the materials recovered within circular economy dilemma based on adoption measure of FinTech or digital economy policy in UK perspective.

References

Guidotti, R., A. Monreale, S. Ruggieri, F. Turini, D. Pedreschi, and F. Giannotti (2019). “A Survey of Methods for Explaining Black Box Models.” ACM Computing Surveys 51 (5): 1–42.

Haksar, V., Y. Carrière-Swallow, E. Islam, A. Giddings, K. Kao, E. Kopp, and G. Quiros (2021). “Towards A Global Approach to Data in the Digital Age.” IMF Staff Discussion Note, International Monetary Fund, Washington, DC.

Hao, K (2019). “This is How AI Bias Really Happens—And Why It’s So Hard to Fix.” MIT Technology Review, February 4, Massachusetts Institute of Technology, Cambridge, MA.

Institute of International Finance (IIF) (2017). “Deploying Regtech against Financial Crime.” Report of the Regtech Working Group, IIF, Washington, DC.

International Monetary Fund (IMF) (2020). Regional Economic Outlook for Sub-Saharan Africa, April, Washington, DC.

Mayson, S. G (2019). “Bias In, Bias Out.” The Yale Law Journal 128 (8): 2218–300.

M Afreen (2020). "Construction of an Industry Cycle Indicator for Profitability Prediction Analysis of Aggregate Firms in Bangladesh". International Journal of Social Sciences and Economic Review 2 (4): 9-18.

M Afreen (2021). "Transition Assessment of the Bangladeshi Financial Market Stress Regimes: A Markov

Switching Modeling Approach". International Journal of Social Sciences and Economic Review 3 (1): 7-11.

M Afreen (2021). " Building Sustainability Resiliency During Post Covid World Focusing ESG And Climate Risk

Issue" International Journal of Social Sciences and Economic Review 3 (3): 21-27.

M Afreen (2020). " Building Vulnerability Predictive Indicator for the Banking Sector: Perspective of Bangladesh". International Journal of Finance & Banking Studies (IJFBS) 9 (3): 1-14.

M Afreen (2020). " Analysing the Return on Asset to Construct Foretelling Indicator of Bangladeshi Banking Sector". International Journal of Finance & Banking Studies, (IJFBS), 9 (4): 11-22.

M Afreen (2020). " Composite Leading Index Creation for Forecasting the Bangladeshi Financial Sector ". International Journal of Finance & Banking Studies, (IJFBS) 9 (4): 23-32.

M Afreen (2022). Bitcoin’s Highest Volatility Trend Analysis Since the Covid-19 Crash: Way out to FinTech Perspective. International Journal of Social Sciences and Scientific Studies. 2 (1): 552-569.

M Afreen, (2022). NDSM Risk Primer of the Canadian Financial Institutions and Insurance Sector. European Scholar Journal 3 (1): 54-58.

Organisation for Economic Co-operation and Development (OECD) (2021). “STIP Compass Database.” OECD, Paris.

Ribeiro, M. T., S. Singh, and C. Guestrin (2016). "’Why Should I Trust You?’: Explaining the Predictions of Any

Classifier.” Cornell University.

Shapley, Lloyd S (1953). “A Value for N-Person Games.” Contributions to the Theory of Games 2 (28): 307–17.

Sy, A., R. Maino, A. Massara, H. Perez-Saiz, and P. Sharma (2019). “Fintech in Sub-Saharan African Countries:

A Game Changer?” Departmental Paper 19/04, International Monetary Fund, Washington, DC.

Downloads

Published

2022-03-21

How to Cite

Maria Afreen. (2022). ADOPTION OF DIGITAL ECONOMIC POLICY BY OBTAINING INTEREST RATE MEASURE TO SAFEGUARD INFLATION IN THE CIRCULAR ECONOMY. European Scholar Journal, 3(3), 34-38. Retrieved from https://scholarzest.com/index.php/esj/article/view/1956

Issue

Section

Articles