Advanced Mathematical Methods for Economic Efficiency Analysis (eBook)
X, 264 Seiten
Springer International Publishing (Verlag)
978-3-031-29583-6 (ISBN)
Economic efficiency analysis has received considerable worldwide attention in the last few decades, with Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) establishing themselves as the two dominant approaches in the literature. This book, by combining cutting-edge theoretical research on DEA and SFA with attractive real-world applications, offers a valuable asset for professors, students, researchers, and professionals working in all branches of economic efficiency analysis, as well as those concerned with the corresponding economic policies.
The book is divided into three parts, the first of which is devoted to basic concepts, making the content self-contained. The second is devoted to DEA, and the third to SFA. The topics covered in Part 2 range from stochastic DEA to multidirectional dynamic inefficiency analysis, including directional distance functions, the elimination and choice translating algorithm, benefit-of-the-doubt composite indicators, and internal benchmarking for efficiency evaluations. Part 3 also includes exciting and cutting-edge theoretical research on e.g. robustness, nonparametric stochastic frontier models, hierarchical panel data models, and estimation methods like corrected ordinary least squares and maximum entropy.
Pedro Macedo is an assistant professor in the Department of Mathematics at University of Aveiro (DMat-UA, Portugal) and a member of the Center for Research & Development in Mathematics and Applications (CIDMA, Portugal). He holds a PhD in Mathematics (Probability and Statistics), a MSc in Economics, and a licentiate degree in Applied Mathematics. His research interests lie in info-metrics, large-scale data, maximum entropy, productivity and efficiency analysis, and shrinkage estimation.
Victor Manuel Ferreira Moutinho has a PhD in Energy Systems and Climate Change. He published several articles in the following journals: Energy Policy, Utilities Policy, Empirical Economics, Renewable and Sustainable Energy Reviews, Journal of Cleaner Production, Environmental Science and Pollution Research, Environment Development and Sustainability, Energy-International Journal, Agricultural Economics, Energy Sources, Part B: Economics, Planning and Policy, Energy Procedia, International Journal of Energy Economics and Policy, International Journal of Energy Technology and Policy. Currently, he is Director of the master in economics at University of Beira Interior (UBI). He is Coordinator of Economics and Finance and Full Researcher at NECE - Research Center in Business Sciences at the UBI, Associate Editor at Environmental Development and Sustainability (Springer), Academic Editor at Energies - MPDI and Academic Editor at The PLOS ONE. Mara Madaleno is an assistant professor in the Department of Economics, Management, Industrial Engineering and Tourism at the University of Aveiro (DEGEIT-UA, Portugal) and a member of the Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP, Portugal). Currently, she is the Director of the Master in Economics, Vice-director of the Master in Data Science for Social Sciences, and Vice-coordinator of the GOVCOPP research group Systems for Decision Support (SDS). She holds a PhD in Economics (Financial Economics), and a licentiate degree in Economics. Her research interests lie in financial economics, financial markets, energy and environmental financial markets, and financial markets/assets efficiency.Erscheint lt. Verlag | 21.6.2023 |
---|---|
Reihe/Serie | Lecture Notes in Economics and Mathematical Systems | Lecture Notes in Economics and Mathematical Systems |
Zusatzinfo | X, 264 p. 22 illus., 16 illus. in color. |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Mathematik |
Wirtschaft ► Volkswirtschaftslehre | |
Schlagworte | Agricultural Economics • Data envelopment analysis • Efficiency Analysis • Energy Economics • Environmental economics • Fractional Regression Models • Frontier Estimation • Health Economics • Linear Programming • Mathematical economics • maximum entropy • Quantitative Economics • Stochastic Frontier Analysis |
ISBN-10 | 3-031-29583-8 / 3031295838 |
ISBN-13 | 978-3-031-29583-6 / 9783031295836 |
Haben Sie eine Frage zum Produkt? |
Größe: 3,9 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich