A timely guide that bridges the gap between microeconomic theory and practice through real-world application in the marketplace Understanding how microeconomics affects the marketplace is essential for any investment professional, however most books simply address microeconomics in its pure theory-based form. Micro Markets helps bridge the gap between theory and practice by defining microeconomics in terms of real-world, market applications. This timely guide elucidates basic microeconomic concepts with an emphasis on applicability. It establishes a common application for all of the basic economic concepts that are reviewed, and provides in-depth insights into an industry that is of major economic importance in aggregate, and to most individuals. Utilizes equity market realities to underscore the relevance of economic theory Each chapter includes informative practice problems and power points A companion Workbook, with practice problems and solutions, is also available By taking microeconomic theory and making it applicable to today's marketplace, Micro Markets builds a much-needed bridge between theory and practice.

Introduces readers to micro and local power markets and their use for local initiatives, grid integration, and future applications This book provides the basis for understanding micro power markets, emphasizing its application for local initiatives, the grid integration of renewable-based generation, and facilitating the decarbonization of the future electrical networks. It gives readers a comprehensive overview of the market operation, and highlights the basis of the design of local and micro markets. Micro and Local Power Markets starts by covering the economics and basic principle of power markets, including the fundamentals of the power trading (for both wholesale and local markets). Following a definition of both micro and local (technical and economic aspects) power markets, the book then looks at the organization of such markets. It describes the design of those power markets, isolated from the wholesale markets, and examines the methodologies of the interaction between these power markets and wholesale markets. The book also presents cognitive business models for micro and local power markets, as well as the regulatory issues concerning them. Introduces the basic principle of power markets Defines micro and local power markets Outlines the design of micro and local power markets, including the principles, as well as the trading schemes, flexibility, and services Discusses methodologies of the interaction between micro and local power markets and wholesale markets Presents business models for micro and local power markets Summarizes regulatory issues around micro and local power markets Micro and Local Power Markets is an ideal book for upper undergraduate students in engineering, as well as for early researchers in the energy sector. It is also recommended for any scientist and engineer being introduced to the field of power systems and their organization.

Of immeasurable value to lenders, agricultural economists, and a host of agribusinesses this unique volume brings together leading farmland authorities in the United States and Canada to examine the economic determinants of land value and the consequences of change in land values. As the most basic factor of production in the agricultural enterprise, farmland dominates the agricultural balance sheet, accounting for an average of 70% of all agricultural assets. The authors of this timely book provide expert analysis and review of this subject.

This book is a compilation of articles published in 2022 with the purpose of making real estate a safe, transparent, secure, and profitable asset. From the experts, we learn about Investing, trends, the future, the potential markets, and diversified asset classes and their drivers. We learn about sustainability, risks of climate change, greenhouse financing, the impact of technology, Drivers of Real Estate Investments, Second Home Investments, and much, much more.

Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and business case to be prepared and evaluated prior to approval. This book presents a step-by-step methodology in order to create a roadmap and business case, and provides a narration of the constraints and experiences of managers who have attempted the setting up of DDOs. The emphasis is on the big decisions – the key decisions that influence 90% of business outcomes – starting from decision first and reengineering the data to the decisions process-chain and data governance, so as to ensure the right data are available at the right time, every time. Investing in artificial intelligence and data-driven decision making are now being considered a survival necessity for organizations to stay competitive. While every enterprise aspires to become 100% data-driven and every Chief Information Officer (CIO) has a budget, Gartner estimates over 80% of all analytics projects fail to deliver intended value. Most CIOs think a data-driven organization is a distant dream, especially while they are still struggling to explain the value from analytics. They know a few isolated successes, or a one-time leveraging of big data for decision making does not make an organization data-driven. As of now, there is no precise definition for data-driven organization or what qualifies an organization to call itself data-driven. Given the hype in the market for big data, analytics and AI, every CIO has a budget for analytics, but very little clarity on where to begin or how to choose and prioritize the analytics projects. Most end up investing in a visualization platform like Tableau or QlikView, which in essence is an improved version of their BI dashboard that the organization had invested into not too long ago. The most important stakeholders, the decision-makers, are rarely kept in the loop while choosing analytics projects. This book provides a fail-safe methodology for assured success in deriving intended value from investments into analytics. It is a practitioners’ handbook for creating a step-by-step transformational roadmap prioritizing the big data for the big decisions, the 10% of decisions that influence 90% of business outcomes, and delivering material improvements in the quality of decisions, as well as measurable value from analytics investments. The acid test for a data-driven organization is when all the big decisions, especially top-level strategic decisions, are taken based on data and not on the collective gut feeling of the decision makers in the organization.

A macroeconomic disequilibrium model is developed for the Federal Republic of Germany. Starting with a microeconomic model of firm's behaviour, the optimal dynamic adjustment of employment and investment is derived. The model of the firm is complemented by an explicite aggregation procedure which allows to derive macroeconomic relations. The model is estimated with macroeconomic data for the Federal Republic of Germany. An important feature is the consistent introduction of dynamic adjustment into a model of the firm. A new method is the particular approach of a delayed adjustment of employment and investment. The estimation results show significant underutilizations of labour and capital and indicate the importance of supply constraints for imports and exports. As the most prominent result, they reveal the importance of the slow adjustment of employment and investment for the macroeconomic situation in Germany and especially for the persistence of high unemployment in the eighties.