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English
Wiley-Scrivener
04 October 2024
This book showcases research, theoretical, and validated work associated with digital finance to enhance the quality of a more sustainable environment.

The primary objective of Fintech for ESG and the Circular Economy is to evaluate how fintech advancements and sustainable practices effectively drive transformative and sustainable change. It aims to motivate individuals with ideas and discussions to promote financial technology and foster creativity for a more sustainable and equitable future.

The book delves into the intersection of technology and sustainability, offering insights into how big data, machine learning, and blockchain technology are transforming ESG practices and the circular economy. It highlights the potential of FinTech to drive sustainable finance, explores the current role of cyber ecosystems and digital currencies in sustainable finance, and examines the intricate legal landscape surrounding green finance in India. The book also discusses the influence of ESG factors on financial decision-making and the integration of sustainability metrics into financial analysis, supported by examples of how companies and investors are adopting these practices.

Additionally, the book explores the role of financial institutions in enabling crowdfunding platforms, particularly in African markets, and provides case studies that demonstrate their impact on financial inclusion and entrepreneurship. It also analyzes the legal implications of blockchain and smart contracts within FinTech, the convergence of digital business models with ESG principles, and the role of digital currencies in promoting financial inclusion and sustainable economic growth, particularly in India. The book concludes with an exploration of tokenomics and its potential to incentivize sustainable behaviors, and examines how digital finance innovations in Tanzania are improving financial inclusion by overcoming barriers to financial services for the unbanked population.

Audience

This book will be of interest to scholars, researchers, academicians, and students of commerce, banking, finance, sustainability, and financial technology. This book is helpful for business professionals, researchers, and technical industry workers in finance and artificial intelligence.
Edited by:   , , , , , , , , , ,
Imprint:   Wiley-Scrivener
Country of Publication:   United States
ISBN:   9781394233960
ISBN 10:   1394233965
Pages:   320
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Ernesto D.R. Santibanez Gonzalez, PhD, is a professor at the University of Talca, Talca, Chile. His research focuses on developing long-term strategies for climate change and sustainability to develop the planet. He has written more than 100 publications in high-impact scientific journals and managed numerous international research projects. He has also served as an editor for several journals. Vinay Kandpal, PhD, is a professor in the Department of Management Studies, Graphic Era University, Dehradun, India. He obtained his doctorate in finance from Kumaun University, India. He has published more than 60 research papers and six books on diverse subjects, such as sustainability, fintech, smart cities, etc. Peterson K. Ozili, PhD, is a senior economist at the Central Bank of Nigeria, Abuja, Nigeria. He holds a doctorate in accounting and finance from Northampton University in the United Kingdom and a doctorate in economics from Nile University of Nigeria, Abuja, Nigeria. He has extensive research interests in economics, finance, business, and accounting. He has made several contributions to financial inclusion research. Prasenjit Chatterjee, PhD, is a professor of mechanical engineering and dean at MCKV Institute of Engineering, West Bengal, India. He has over 6,500 citations and many research papers in various international journals and peer-reviewed conferences. He has authored several books on intelligent decision-making, fuzzy computing, supply chain management, etc. He developed a multi-criteria decision-making method called Measurement of Alternatives and Ranking through functional mapping of criterion sub-intervals.

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