Proceedings of the 4th International Conference on Economic Management and Green Development


Book Description

The proceedings shed light on selected topics including economic management, public administration, and green development. Featuring scholarly works from the 4th International Conference on Economic Management and Green Development (ICEMGD 2021), this volume of proceedings showcases the papers composed with regard to a diverse range of topics situated at the intersecting field of Economic Management, Public Administration and Green Development. Arising as the top concern of the global community, issues of green development impose challenges for the academia to bridge the interdisciplinary prowess in tackling the gap of knowledge within concerned fields. ICEMGD 2021 is an annual conference initiated by the year of 2017 under the goal of bringing together intellectuals from economics, business management, public administration, and otherwise related spheres for the share of research methods and theoretical breakthroughs. The aim of the proceeding volume is for the integration of social scientific research methods with research into alarming development issues. The ICEMGD 2021 seeks to promote joint initiatives among well-established fields like macro- and microeconomics, international economics, finance, agricultural economics, health economics, business management and marketing strategies, regional development studies, social governance, and sustainable development. Featuring interdisciplinary contributions, this book will be of interest to researchers, academics, professionals and policy makers in the field of economic management, public administration, and development studies.




New Developments in Analysis of Market Structure


Book Description

These contributions discuss a number of important developments over the past decade in a newly established and important field of economics that have led to notable changes in views on governmental competition policies.
















Advances in Panel Data Analysis in Applied Economic Research


Book Description

This proceedings volume presents new methods and applications in applied economic research with an emphasis on advances in panel data analysis. Featuring papers presented at the 2017 International Conference on Applied Economics (ICOAE) held at Coventry University, this volume provides current research on econometric panel data methodologies as they are applied in microeconomics, macroeconomics, financial economics and agricultural economics. International Conference on Applied Economics (ICOAE) is an annual conference that started in 2008 designed to bring together economists from different fields of applied economic research in order to share methods and ideas. Applied economics is a rapidly growing field of economics that combines economic theory with econometrics to analyse economic problems of the real world usually with economic policy interest. In addition, there is growing interest in the field for panel data estimation methods, tests and techniques. This volume makes a contribution in the field of applied economic research in this area. Featuring country specific studies, this book will be of interest to academics, students, researchers, practitioners, and policy makers in applied economics and economic policy.







The Economics of Artificial Intelligence


Book Description

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.