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In recent years, analysts, researchers and environmental policy makers have been faced with a serious shortage of empirical data on environmental phenomena. In fact, the information gathered by various organisations has not yet been systematically classified into a consistent system of accounts. This book presents the results of a joint research effort by the Fondazione Eni Enrico Mattei and Italy's Central Statistical Office (ISTAT) to design a system of accounts for natural and environmental resources. The resulting environmental accounts can be integrated with the existing system of national accounts, in order to estimate the so-called `green GDP' or `net national product' (NNP).
The papers in this conference proceedings address the various conceptual, measurement and statistical policy issues that arise when applying accounting frameworks to the concept of sustainable development.
The System of Environmental-Economic Accounting for Agriculture, Forestry and Fisheries (SEEA-AFF) is a statistical framework that facilitates description and analysis of agriculture, forestry and fisheries as economic activities and their relationship with the environment. It extends to these primary sectors the environmental-economic structure and principles of the System of Environmental-Economic Accounting Central Framework (SEEA CF), an official UN statistical standard. The SEEA-AFF defines core national accounting tables, easily integrated into synthetic view tables, provided as a basis for the measurement and reporting of information on physical and monetary assets and flows accounts on natural resource use, production, trade and consumption of food and other agricultural products. It thus offers countries a robust statistical structure for the development of agri-environmental indicators, including SDGs, which can be monitored in a transparent, coherent and internationally comparable manner.
The vast majority of the countries of the world are now facing an imminent energy crisis, particularly the USA, China, India, Japan and EU countries, but also developing countries having to boost their economic growth precisely when more powerful economies will prevent them from using the limited supply of fossil energy. Despite this crisis, current protocols of energy accounting have been developed for dealing with fossil energy exclusively and are therefore not useful for the analysis of alternative energy sources. The first part of the book illustrates the weakness of existing analyses of energy problems: the science of energy was born and developed neglecting the issue of scale. The auth...
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Comparable and reliable data supporting coherent analytical and policy frameworks are essential elements to inform debates and guide policy related to the interrelationships between the economy and the environment. "The System of Environmental-Economic Accounting 2012—Central Framework" (SEEA Central Framework) is a statistical framework consisting of a comprehensive set of tables and accounts, which guides the compilation of consistent and comparable statistics and indicators for policymaking, analysis and research. It has been produced and is released under the auspices of the United Nations, the European Commission, the Food and Agriculture Organization of the United Nations, the Organisation for Economic Co-operation and Development, the International Monetary Fund, and the World Bank Group. The SEEA-Central Framework reflects the evolving needs of its users, new developments in environmental economic accounting and advances in methodological research.
The book contains the proceedings of the OECD Conference that was held in Rome in December 1999. It presents the wide range of initiatives and indicators that are already in place, and outlines the challenges that remain in measuring progress towards sustainable development.
Ecosystem accounting is a relatively new and emerging field dealing with integrating complex biophysical data, tracking changes in ecosystems and linking those changes to economic and other human activity. There is an increasing urgency to advance this emerging field of statistics on ecosystems.