A Guide To Econometric Methods For The Energy Growth Nexus

A Guide to Econometric Methods for the Energy-Growth Nexus presents, explains and compares all the available econometrics methods pertinent to the energy-growth nexus. Chapters cover methods and applications, starting with older econometric methods and moving toward new ones. Each chapter presents the method and facts about its applications, providing step-by-step explanations about the ways the method meets the demands of the field. In addition, applied case studies and practical research steps are included to enhance the learning process. By touching on all relevant econometric methods for the energy-growth nexus, this book gives energy-growth researchers and students all they need to tackle the subject matter. Presents econometric methods for short- and long-term forecasting Provides methods and step-by-step explanations on the ways the method meets the demands of the field Contains applied case studies and practical research steps

The Economics and Econometrics of the Energy-Growth Nexus recognizes that research in the energy-growth nexus field is heterogeneous and controversial. To make studies in the field as comparable as possible, chapters cover aggregate energy and disaggregate energy consumption and single country and multiple country analysis. As a foundational resource that helps researchers answer fundamental questions about their energy-growth projects, it combines theory and practice to classify and summarize the literature and explain the econometrics of the energy-growth nexus. The book provides order and guidance, enabling researchers to feel confident that they are adhering to widely accepted assumptions and procedures. Provides guidance about selecting and implementing econometric tools and interpreting empirical findings Equips researchers to get clearer pictures of the most robust relationships between variables Covers up-to-date empirical and econometric methods Combines theory and practice to classify and summarize the literature and explain the econometrics of the energy-growth nexus

The Extended Energy-Growth Nexus: Theory and Empirical Applications advances the established bivariate econometric relationship which inextricably links energy consumption to economic growth. The book extends this "nexus" to accommodate variables such as globalization, institutional variables, financial variables and the energy "mix." Rooted firmly in the modern literature, it covers empirical applications such as the evaluation of renewable energy incentives, the electricity generation mix, and sustainable development. Each application area incorporates modern econometric methodologies, including VAR, panel VAR, ARDL, panel ARDL, Asymmetric panel ARDL, and Panel Quantile Regression. Throughout chapters are accompanied by illustrative Stata and EViews code, demonstrating their uses in applied research. Primes researchers to understand advanced literature and current methodologies within the energy-growth nexus Provides a rich set of working tools for econometricians working on real-world energy and growth problems Accompanied by representative databases and illustrative Stata and EViews code, facilitating replication and use

This book gathers cutting-edge studies on the relationship between energy innovations, economic growth, environmental regulation, promotion of renewable energy use, and climate change. Building on the research discussed in the editor’s previous book Decarbonization and Energy Technology in the Era of Globalization, it discusses recent developments such as the impacts of globalization and energy efficiency on economic growth and environmental quality. It also explores the ways in which globalization has benefited green energy development, e.g. the expansion of new technologies and cleaner machinery, as well as the problems it has caused. Written by respected experts, the respective contributions address topics including econometric modelling of the behaviour of and dynamics between economic growth and environmental quality, aspects of energy production and consumption, oil prices, economic growth, trade openness, environmental quality, regulatory measures, and innovations in the energy sector. Providing a comprehensive overview of the latest research, the book offers a valuable reference guide for researchers, policymakers, practitioners and students in the fields of renewable energy development and economics.

The complexity and volatility of energy markets creates strong demand for quantitative analysis and econometric techniques. This book offers an introduction to the state of the art in econometric modelling applied to the most pertinent issues in today's energy markets for a better understanding of the working of energy systems and energy economics.

One of the most important activities of enterprises today is responsible entrepreneurship. Corporate social responsibility (CSR) activities can help to forge a stronger bond between employees and corporations, can boost morale, and can help both employees and employers feel more connected with the world around them. Moreover, the growing importance of this concept results from the fact that it is perceived as an effective tool for increasing competitiveness, improving the image of the company, or contributing to the generation of higher profits. In today’s world, an active commitment to social responsibility is becoming more common for a company. CSR and Socially Responsible Investing Strategies in Transitioning and Emerging Economies is an essential reference source that identifies the scale and scope of implementation of CSR and socially responsible investing strategies and standards in companies operating in different transitioning and emerging economies as well as assessing the global effects of these activities. Featuring research on topics such as economic growth, responsible investing, and business ethics, this book is ideally designed for managers, executives, directors, corporate professionals, government officials, industry leaders, academicians, students, and researchers in the fields of international economics, international business, marketing, finance management, and public relations.

A popular, intuitively based overview of econometrics.

This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.