This proceedings volume examines how the world economy has transformed in the last two decades in the context of technological advancement and innovation. It offers a rigorous review of the empirical studies and theoretical advancements in the field of applied economics and finance. It is specifically designed for researchers, practitioners, policymakers, and advanced post-graduate students. It discusses a wide range of emerging issues in economics, finance, and issues concerning socio-cultural-economic sustainability. This volume emerges at a time when countries across the globe are increasingly prioritising economic sustainability through environmentally responsible growth. To achieve this, there is an urgent need to create a policy framework that balances technical progress, financial innovation, and inclusive development.

The book is divided into three parts. Part A covers emerging areas in economics, Part B focuses on emerging areas in finance, and Part C addresses socio-cultural and economic sustainability. Overall, the edited volume comprises chapters on contemporary issues in economics and finance, providing insight into the ongoing research in these fields. Each chapter presents useful insights and forward-looking reflections. Every contribution leaves room for future research, which could benefit scholars working in similar areas and foster meaningful dialogue. The book is particularly useful for early-stage researchers in selecting a topic or area based on current research trends. It will also help the research community stay informed about the latest developments in the subject area, as well as ongoing work in related fields. The aim is to disseminate knowledge, encourage interdisciplinary learning, and promote quality research.

Provides glimpse of ongoing multi-disciplinary research on a wide range of topics related to economic sustainability Showcases economic growth areas via digital improvements in banking, insurance & payment systems with policy suggestions Guides initial level researchers with the contemporary issues in applied economics and finance

Autorentext

Krishna M is Associate Professor in the Department of Economics and Finance at the Birla Institute of Technology and Science (BITS), Pilani, India. He obtained his PhD from Tata Institute of Social Sciences (TISS), Mumbai, India. He has spent the last eight years teaching economics and carrying out research in the field of economics. His research revolves around several areas of economics including labour economics, energy economics, the economics of social networks, economic growth and development, and public policy.

Rahul Arora is Assistant Professor in the Department of Economics and Finance at the Birla Institute of Technology and Science (BITS), Pilani, India. He completed his PhD in Economics from the Department of Economic Sciences, Indian Institute of Technology Kanpur, India in 2017, specializing in evaluating the impact of mega-trade deals in the Asia-Pacific Region.

Byomakesh Debata is Assistant Professor in the Department of Economics and Finance at the Birla Institute of Technology and Science (BITS), Pilani, India. He has obtained his Ph.D. in Finance from the Indian Institute of Technology Kharagpur and a Master's in Computational Finance from the Institute of Mathematics and Applications. He has published in various journals of international repute with good citations. His research interests are Financial Economics, Computational Finance, Behavioural Finance, Application of Stochastic Process in Finance, and Market Microstructure.

Debi Prasad Bal is Assistant Professor in the Department of Economics and Finance at Birla Institute of Technology and Science (BITS), Pilani, India. He has obtained PhD degree in Economics from Indian Institute of Technology (IIT) Hyderabad. He has more than Seven years of post-Ph.D. teaching and research experience. His prime concern and aim for the future teaching would emphasize for providing high quality research-based teaching at undergraduate and post graduate level.

NVM Rao is Senior Professor at the Department of Economics and Finance at Birla Institute of Technology and Science (BITS), Pilani, India; and has been teaching economics, management, and technology oriented courses. He joined BITS Pilani in 1994. His research interests include applied econometrics, risk assessment, economic development, financial economics, quantitative modeling and statistical decision making, educational planning and resource allocation, predictive analytics.

Saumya Ranjan Dash is Professor (Finance and Accounting) and Dean (Research) at Indian Institute of Management (IIM) Indore, Indore, India. He obtained his PhD from the Indian Institute of Technology (IIT) Kharagpur, India. Prior to joining IIM Indore, he worked as Assistant Professor with IMT-Ghaziabad for two years. His research interests include behavioural finance, equity research and portfolio management, financial market, socially responsible investment management, and corporate capital structure. His teaching interests include financial accounting and reporting, cost and management accounting, empirical asset pricing, behavioural finance.

Badri Narayanan Gopalakrishnan is experienced researcher/data scientist, applied economist, policy/business consultant, and inter-disciplinary scientist with extensive experience publishing papers, producing and managing global economic datasets and models widely used by academic/policy/industry researchers and analysts worldwide. Internationally published in trade, energy, environment, disruptive technologies, agriculture, labor, health and manufacturing, cutting across disciplines, with numerous citations in journals like Nature and American Economic Review.

Inhalt

Is Human Capital with U-Shaped Returns a Better Measure of Human Capital Inequality?.- Money Growth and Business Cycle - Unravelling India's Growth Trajectory under New Keynesian Dynamic Stochastic General Equilibrium Model.- Digital Technology as a Facilitator in Promoting Remittance-led Financial Development in the LMICs.- Deepening Investment Provisions and Global Value Chains: A Machine Learning Approach.-Effect of Country Size in the India- EFTA Trade Agreement.