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In the wake of economic crisis on a global scale, more and more people are reconsidering their role in the economy and wondering what they can do to make it work better for humanity and the planet. In this innovative book, J. K. Gibson-Graham, Jenny Cameron, and Stephen Healy contribute complex understandings of economics in practical terms: what can we do right now, in our own communities, to make a difference? Full of exercises, thinking tools, and inspiring examples from around the world, Take Back the Economy shows how people can implement small-scale changes in their own lives to create ethical economies. There is no manifesto here, no one prescribed model; rather, readers are encouraged and taught how to take back the economy in ways appropriate for their own communities and context, using what they already have at hand. Take Back the Economy dismantles the idea that the economy is separate from us and best comprehended by experts. Instead, the authors demonstrate that the economy is the outcome of the decisions and efforts we make every day. The economy is thus reframed as a space of ethical action—something we can shape and alter according to what is best for the well-being of people and the planet. The book explores what people are already doing to build ethical economies, presenting these deeds as mutual concerns: What is necessary for survival, and what do we do with the surplus produced beyond what will fulfill basic needs? What do we consume, and how do we preserve and replenish the commons—those resources that can be shared to maintain all? And finally, how can we invest in a future worth living in? Suitable for activists and students alike, Take Back the Economy will be of interest to anyone seeking a more just, sustainable, and equitable world.
The field of Financial Management & Economics (FME) is constantly adapting to the changing economic landscape, observing the ongoing developments in the global business environment. These shifting dynamics have introduced a variety of influences, both fleeting and enduring, that deeply affect the decision-making foundations within the business arena. Researchers are tasked with shedding light on the bigger picture, capturing the essence of both subtle and significant shifts. As they confront unprecedented challenges, the imperative to document and comprehend these transformations resonates more urgently than ever before. Recent Developments in Financial Management and Economics is a work that beckons academics, researchers, and industry professionals to engage in the exploration of these changes. This book has a singular objective: to provide professionals, academics, and researchers with new theoretical frameworks and the latest empirical research findings. The book focuses on trust as a key driver, influencing different levels of Financial Management & Economics. It explores trust across the global economy and individual interactions in networked settings, offering guidance for navigating the complexities of today's interconnected financial and economic systems.
Shipping is by far the most significant mode of transportation for the carriage of freight. In terms of volume alone, no other mode comes close. Its dominance is even more overwhelming when distances are accounted for. This book is concerned with the economics of this pivotal mode of transportation. It reveals that the influences on the development and current state of shipping economics research are extremely eclectic. The various chapters in the book represent areas that are of central concern to ongoing research in the field. As such, the book is useful to students, researchers, industrialists, policy makers and consultants. The authors of the contributed chapters are some of the leading names in the world of shipping economics, addressing a number of diverse areas: The econometric modeling of shipping markets; Shipping finance (a critical issue in such a capital intensive industry); Fiscal policy (and its impact on an international industry with great asset mobility) and Safety and security (aspects that have risen to prominence with increasing concerns over the environment and international terrorism). Ultimately, while shipping as a business depends upon trade, it is absolutely certain that the business of trade depends upon shipping. The final two chapters, therefore, incorporate aspects of network economics, welfare economics and international trade theory to analyze where and how shipping sits within the wider perspective of industrial supply chains.Professor Kevin Cullinane, BA BSc MSc PhD FCILT CNIProfessor Kevin Cullinane is Chair in Marine Transport and Management at the University of Newcastle in the U.K. He was previously Professor and Head of the Department of Shipping and Transport Logistics at the Hong Kong Polytechnic University, Head of the Centre for International Shipping and Transport at Plymouth University, Senior Partner in his own transport consultancy company and Research Fellow at the University of Oxford Transport Studies Unit. He is a Fellow of the Chartered Institute of Logistics and Transport and has been a transport adviser to the governments of Hong Kong, Egypt, Chile and the U.K. He holds visiting Professorships at a number of institutions and an Honorary Professorship at the University of Hong Kong.
This paper presents a novel framework to estimate the elasticity between nighttime lights and quarterly economic activity. The relationship is identified by accounting for varying degrees of measurement errors in nighttime light data across countries. The estimated elasticity is 1.55 for emerging markets and developing economies, ranging from 1.36 to 1.81 across country groups and robust to different model specifications. The paper uses a light-adjusted measure of quarterly economic activity to show that higher levels of development, statistical capacity, and voice and accountability are associated with more precise national accounts data. The elasticity allows quantification of subnational economic impacts. During the COVID-19 pandemic, regions with higher levels of development and population density experienced larger declines in economic activity.
Understanding the Global Economy names the first step in coping with or transforming the flawed global ethics. To that end, the author explains the economic theory, social science, and thought that formed the basis of the global system. Applied to the sense of our current crisis, this book shows the ethics and forces that make the global market work as it does and how it fails. It presents a balance of the historical basis for global markets with the relevant economic theories, ethics, ideology, inclusive research of all the leading scholars, the current issues of the crisis, and the failed solutions. Through the intellectual background with an expose of the current crisis, the author leads us to a seemingly ironic prescription, which he lives—the willing, caring heart of humanity that knows no bounds. The book presents the solution by an analysis of the economic history from antiquity through the present, observations and research of the likely solutions, and decades of proactive work to enact the lasting solution.
In this thoroughly revised and updated second edition, William Allen and Carlos Vargas-Silva bring together a diverse range of experts to explore the latest research methods in migration studies, taking stock of major changes that have been salient for migration research—as well as the social sciences more broadly—in the last decade. Spanning a variety of different methodologies, this second edition of the Handbook of Research Methods in Migration provides practical guidance on designing, completing, and communicating migration research, considering diverse audiences including migrants themselves. This title contains one or more Open Access chapters.
This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields. To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and information. In detail, the chapters cover public policy, governance, data justice and other ethical issues. Part two consists of chapters on methodological aspects dealing with issues such as the modelling of complexity, natural language processing, validity and lack of data, and innovation in official statistics. Finally, Part three describes the application of computational methods, challenges and opportunities in various social science areas, including economics, sociology, demography, migration, climate change, epidemiology, geography, and disaster management. The target audience of the book spans from the scientific community engaged in CSS research to policymakers interested in evidence-informed policy interventions, but also includes private companies holding data that can be used to study social sciences and are interested in achieving a policy impact.
Handbook of Agricultural Economics, Volume Five highlights new advances in the field, with this new release exploring comprehensive chapters written by an international board of authors who discuss topics such as The Economics of Agricultural Innovation, Climate, food and agriculture, Agricultural Labor Markets: Immigration Policy, Minimum Wages, Etc., Risk Management in Agricultural Production, Animal Health and Livestock Disease, Behavioral and Experimental Economics to Inform Agri-Environmental Programs and Policies, Big Data, Machine Learning Methods for Agricultural and Applied Economists, Agricultural data collection to minimize measurement error and maximize coverage, Gender, agriculture and nutrition, Social Networks Analysis In Agricultural Economics, and more. - Presents the latest release in the Handbook of Agricultural Economics - Written and contributed by leaders in the field - Covers topics such as The Economics of Agricultural Innovation, Climate, Food and Agriculture, Agricultural Labor Markets, and more