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Behavioral Insights for Development: Cases from Central America brings together a set of experiences that applied behavioral insights to different areas of public policy—in some cases through randomized control trials, and in others using surveys or behavioral games. These experiences collectively show the promise of public policies that are informed by a better understanding of what drives individual behavior. In Costa Rica, for example, informing households of how much water they consume relative to their neighbors reduced water consumption (chapter 1). In Guatemala, altering the way government communicates with taxpayers increased revenue collection (chapter 2). In Nicaragua, an analysis of a cash transfer program found that children in households receiving benefits exhibited significantly higher cognitive development—a result influenced by parental behavior changes during the program (chapter 3). In El Salvador, we explore how different biases explain the apparent puzzle of a gas subsidy reform that benefited most of the population yet proved to be widely unpopular (chapter 4). Chapter 5 also uses behavioral insights to analyze subsidy reforms in El Salvador, this time using a different methodology: a set of economic behavioral games designed to evaluate the willingness of individuals to accept subsidy reforms that would affect them directly. Finally, chapter 6 reflects on the progress made in applying behavioral insights in a development context. These cases illustrate, in practice, some of the findings of the World Development Report 2015: Mind, Society, and Behavior. In particular, they demonstrate the possibility of using nontraditional tools, complementary to regulation, in contexts where time and resources are limited. The World Bank has since established a Mind, Behavior, and Development (eMBeD) Unit within the Poverty and Equity Global Practice to mainstream and scale up behavioral science in public policies and programs. We hope these experiences will help to inform other practitioners about the potential of applying behavioral insights in a development context and will encourage them to consider such approaches as a complement to traditional policy measures.
This report presents the discussions and conclusions of the OECD workshop on sustainable water consumption. It examines progress made on a range of key water policy issues and examines some of the more innovative attempts to put into practice a wider vision of integration.
The concept of sustainability is inherently multi-disciplinary because it concerns a complex system having economic, technological, ecological, political, and other perspectives. Consequently, any effort in the area of sustainability involves concepts, principles, and methods from engineering, the social sciences including economics and social psychology, the biological sciences including ecology, and the physical sciences. Sustainability: Multi-Disciplinary Perspectives discusses multidisciplinary aspects of the salient concepts, principles, and methods relevant to sustainability in a coherent and comprehensive manner. Topics covered range from green engineering and sustainability metrics to infrastructure and environmental policy.
Approximately 30 percent of the edible food produced in the United States is wasted and a significant portion of this waste occurs at the consumer level. Despite food's essential role as a source of nutrients and energy and its emotional and cultural importance, U.S. consumers waste an estimated average of 1 pound of food per person per day at home and in places where they buy and consume food away from home. Many factors contribute to this wasteâ€"consumers behaviors are shaped not only by individual and interpersonal factors but also by influences within the food system, such as policies, food marketing and the media. Some food waste is unavoidable, and there is substantial variation in how food waste and its impacts are defined and measured. But there is no doubt that the consequences of food waste are severe: the wasting of food is costly to consumers, depletes natural resources, and degrades the environment. In addition, at a time when the COVID-19 pandemic has severely strained the U.S. economy and sharply increased food insecurity, it is predicted that food waste will worsen in the short term because of both supply chain disruptions and the closures of food businesses that affect the way people eat and the types of food they can afford. A National Strategy to Reduce Food Waste at the Consumer Level identifies strategies for changing consumer behavior, considering interactions and feedbacks within the food system. It explores the reasons food is wasted in the United States, including the characteristics of the complex systems through which food is produced, marketed, and sold, as well as the many other interconnected influences on consumers' conscious and unconscious choices about purchasing, preparing, consuming, storing, and discarding food. This report presents a strategy for addressing the challenge of reducing food waste at the consumer level from a holistic, systems perspective.
The effects of climate change, rapid urbanization, and aging infrastructure challenge water policymakers to confront a radical paradigm shift in water resources utilization. Recent advances in sensing, networking, processing, and control have provided the means for sustainable solutions in water management, and their implementation in water infrastructures is collectively referred to as "smart water grids." Smart water grids depend upon cyber-physical system principles to effectively respond to issues regarding the scalability and reliability of dynamic and inaccessible environments. As such, unique smart water grid issues associated with front-end signal processing, communication, control, and data analysis must be jointly addressed, while sophisticated techniques for data analytics must be introduced into cyber-physical systems research. This book provides a thorough description of the best practices for designing and implementing cyber-physical systems that are tailored to different aspects of smart water grids. It is organized into three distinct, yet complementary areas, namely: the theory behind water-oriented cyber-physical systems with an emphasis on front-end sensing and processing, communication technologies, and learning techniques over water data; the applications and emerging topics of cyber-physical systems for water urban infrastructures, including real-life deployments, modern control tools, and economic aspects for smart water grids; and the applications and emerging topics across natural environments, emphasizing the evolution of fresh water resources. The structured discussion yields a rich, comprehensive body of knowledge on this emerging topic of research and engineering. As water issues intensify on a global scale, this book offers an algorithmic and practical toolkit for intermediate and advanced readers as well as professionals and researchers who are active in, or interested in, learning more about smart water grids. Key Features: Emphasizes the multidisciplinary nature of this emerging topic, covering both theoretical and practical aspects of this area while providing insights on existing deployments, which can serve as design examples for new applications. Explores how modern signal processing and machine learning techniques can contribute and enrich the potential of smart water grids, well beyond conventional closed-loop control techniques. Highlights complementary aspects that will help shape the future of smart water grids, such as consumption awareness, economic aspects, and control tools in industrial water treatment as well as the impact of climate change on fresh water resources. Enables the reader to better understand this emerging topic, investing in current state-of-the-art and future technological roadmaps for smart water grids.

Aquaculture

United States. Congress. House. Committee on Merchant Marine and Fisheries. Subcommittee on Fisheries and Wildlife Conservation and the Environment

Published: 1977

Total Pages: 610


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Meta-Regression Analysis in Economics and Business is the first text devoted to the meta-regression analysis (MRA) of economics and business research.