Integrated Global Models of Sustainable Development is a component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. In the 21st century the human society is facing the challenge of sustainable development with constraints of global environmental changes. In order to cope with poverty and international per capita income disparity (IPCID), there should be further needs for economic development to provide employment opportunities against “Terrorism and refugees". The coverage in three volumes tires to show a possibility of sustainable development from a global viewpoint by using alternative policy simulations. The chapters are organized so that the readers might understand archived historical trends in global modeling for sustainable development. Starting from global models in the 1970s, 1980s, 1990s, the updated latest modeling works are also included as far as possible. The chapters deal with roles of integrated global models, scope and methodologies and policy implications. These three volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs

The "leave no one behind" principle espoused by the 2030 Agenda for Sustainable Development requires measures of progress for different segments of the population. This entails detailed disaggregated data to identify subgroups that might be falling behind, to ensure progress toward achieving the Sustainable Development Goals (SDGs). The Asian Development Bank and the Statistics Division of the United Nations Department of Economic and Social Affairs developed this practical guidebook with tools to collect, compile, analyze, and disseminate disaggregated data. It also provides materials on issues and experiences of countries regarding data disaggregation for the SDGs. This guidebook is for statisticians and analysts from planning and sector ministries involved in the production, analysis, and communication of disaggregated data.

This Research Agenda provides both a state-of-the-art review of existing research on city-regions, and expands on new research approaches. Expert contributors from across the globe explore key areas for reading city-regions, including: trade, services and people, regional differentiation, big data, global production networks, governance and policy, and regional development. The book focuses on developing a more integrated and systematic approach to reading city-regions as part of regeneration economics, identifying conceptual and methodological developments in this field of study.

This book explores new approaches to the measurement and interpretation of the linkages between economic activity flows and income flows in urban and regional economies and new ways to explore the importance of regional economic structure in development. The book combines theoretical contributions, chapters that focus on the construction and interpretation of new social accounting systems and a variety of empirical applications. These applications encompass community-level income distribution impacts, assessments of income distribution problems in Brazil, interregional impacts of unexpected events in Japan, welfare reform in the US and structural change in Chinese metropolitan economies. One of the special features of the book is the use and application of a wide variety of models - demo-economic, social accounting, interregional computable general equilibrium - employed at a variety of spatial scales.

This book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but intuitive methods and tools enabling the spatial and temporal disaggregation of basic macroeconomic variables and the assessment of the statistical uncertainty of the outcomes of disaggregation. The empirical analysis focuses mainly on GDP and its growth in the context of Poland. However, all of the methods discussed can be easily applied to other countries. The approach used in the book views spatial and temporal disaggregation as a special case of the estimation of missing observations (a topic on missing data analysis). The book presents an econometric course of models of Seemingly Unrelated Regression Equations (SURE). The main advantage of using the SURE specification is to tackle the presented research problem so that it allows for the heterogeneity of the parameters describing relations between macroeconomic indicators. The book contains model specification, as well as descriptions of stochastic assumptions and resulting procedures of estimation and testing. The method also addresses uncertainty in the estimates produced. All of the necessary tests and assumptions are presented in detail. The results are designed to serve as a source of invaluable information making regional analyses more convenient and – more importantly – comparable. It will create a solid basis for making conclusions and recommendations concerning regional economic policy in Poland, particularly regarding the assessment of the economic situation. This is essential reading for academics, researchers, and economists with regional analysis as their field of expertise, as well as central bankers and policymakers.