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An impressive piece of work that deserves to be on every European agricultural economist s bookshelf. Jean-Christophe Bureau, European Review of Agricultural Economics This is an excellent text that could be used in specialist academic courses in environmental and natural resource economics, ecological economics and cost benefit analysis, as well as in interdisciplinary courses in public policy, planning and environmental management. David James, Australasian Journal of Environmental Management Cost Benefit Analysis (CBA) is one of the most useful tools of applied economics for the social appraisal of public projects and government policies. Nick Hanley and Edward Barbier show how CBA can be applied to environmental policy choice and environmental resource management. They cover the conceptual underpinnings of CBA, practical methods for applying CBA, and a wide range of case study applications from Europe, North America and developing countries. Issues such as the value of ecosystem services and the special problems posed for CBA by environmental management are brought into close focus. The textbook is aimed at students on inter-disciplinary courses as well as those studying environmental economics, welfare economics and public policy. It will also be of interest to people in the policy community, NGOs and consultancy sectors.
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges.
This book offers various soil and water treatment technologies due to increasing global soil and water pollution. In many countries, the management of contaminated land has matured, and it is developing in many others. Topics covered include chemical and ecological risk assessment of contaminated sites; phytomanagement of contaminants; arsenic removal; selection and technology diffusion; technologies and socio-environmental management; post-remediation long-term management; soil and groundwater laws and regulations; and trace element regulation limits in soil. Future prospects of soil and groundwater remediation are critically discussed in this book. Hence, readers will learn to understand the future prospects of soil and groundwater contaminants and remediation measures. Key Features: Discusses conventional and novel aspects of soil and groundwater remediation technologies Includes new monitoring/sensing technologies for soil and groundwater pollution Features a case study of remediation of contaminated sites in the old, industrial, Ruhr area in Germany Highlights soil washing, soil flushing, and stabilization/solidification Presents information on emerging contaminants that exhibit new challenges This book is designed for undergraduate and graduate courses and can be used as a handbook for researchers, policy makers, and local governmental institutes. Soil and Groundwater Remediation Technologies: A Practical Guide is written by a team of leading global experts in the field.
This volume is written primarily for agricultural economists doing research on productivity. It includes discussions of the theoretical underpinnings of productivity measurement as well as the many practical considerations that go into translating this theory into actual measures of aggregated outputs and inputs. The unifying concept of agricultural productivity used across the chapters of this volume is aggregate total factor productivity (TFP) of the sector. The volume also contains detailed analysis of the underlying causes of agricultural productivity growth. Part I (chapters 2-6) examines agricultural productivity in high-income and transition countries. Part II (chapters 7-11) examines agricultural productivity growth and its driving forces in five important agricultural producers in Asia and Latin America. Part III (chapters 12-14) focuses on measuring and identifying constraints to agricultural productivity growth in sub-Saharan Africa. Part IV (chapters 15-16) gives a global perspective on agricultural productivity.
As cities continue to expand, a pivotal issue in urban agglomerations is emerging: the quest for sustainable development. These urban hubs drive innovation, economic growth, and cultural exchange but also grapple with critical challenges such as resource depletion, environmental degradation, and social inequality. Understanding how to improve the benefits of urban agglomerations while addressing their negative impacts is essential for creating resilient, sustainable cities. Urban Agglomeration - Extracting Lessons for Sustainable Development delves into urbanization's complexities and explores these dynamic spaces' potential as engines of sustainable growth. Through global case studies, best practices, and innovative solutions, this book uncovers valuable lessons to guide policy, planning, and community engagement. It highlights the importance of integrated planning, inclusive policies, and technological innovation in overcoming the multifaceted challenges of urban agglomerations. This book offers a comprehensive roadmap for shaping smarter, greener, and more equitable urban environments and is a useful resource for urban planners, policymakers, academics, and anyone interested in the future of cities.
The evolving modern world is characterized by two opposing trends: integration and segregation. On the one hand, we witness strong forces for segregation on the basis of nationality, ethnicity, religion, and culture in the former Soviet Union, the former Czechoslovakia, the former Yugoslavia, as well as in Northern Ireland, Spain, and Canada. These forces are quite strong and, in some cases, violent. On the other hand, the European Union and NAFTA represent the tendency for integration motivated primarily by economic considerations (such as gains from trade and scale economies). In fact, these opposing trends can be explained by the concepts developed in modern club theory, local public finance, and international trade.