Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) and ground-level ozone (O3) have potentially the most significant adverse effects on health compared to other pollutants.
The OECD Environmental Policy Stringency Index (EPS) is a country-specific and internationally-comparable measure of the stringency of environmental policy. Stringency is defined as the degree to which environmental policies put an explicit or implicit price on polluting or environmentally harmful behaviour. It covers 28 countries.
This dataset measures the residual growth in the joint production of both the desirable and the undesirable outputs that cannot be explained by changes in the consumption of factor inputs (including labour, produced capital and natural capital). Therefore, for a given growth of input use, the Environmentally Adjusted Multifactor Productivity (EAMFP) increases when GDP increases or when pollution decreases.
This dataset contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The dataset covers OECD countries as well as BRIICS economies (Brazil, Russian Federation, India, Indonesia, China and South Africa), and selected countries when possible.
Mineral and energy resources are one of the seven environmental assets considered in the System of Environmental Economic Accounting (SEEA, 2012). They are non-renewable resources which cannot be regenerated over a human timescale in spite of their prominent role in sustaining economic activities. From an economic, environmental and supply security perspective, it is therefore important to gather harmonised data on their rate of extraction and current availability.
This database refers to the OECD Inventory of Support Measures for Fossil Fuels, taking stock of almost 800 spending programmes and tax breaks used by governments in 33 OECD countries and 6 key emerging G20 economies (Brazil, China, India, Indonesia, Russia and South Africa) to encourage the consumption or production of fossil fuels. These include measures that reduce prices for consumers, as well as those that lower exploration and exploitation costs for oil and gas companies.
This database refers to the OECD Inventory of Support Measures for Fossil Fuels, taking stock of almost 800 spending programmes and tax breaks used by governments in 33 OECD countries and 6 key emerging G20 economies (Brazil, China, India, Indonesia, Russia and South Africa) to encourage the consumption or production of fossil fuels. These include measures that reduce prices for consumers, as well as those that lower exploration and exploitation costs for oil and gas companies.
The indicators presented, (see indicators' description below), refer to inventions filed in one or more jurisdictions (family size 1 or greater) or in two or more jurisdictions (family size 2 or greater). A patent family is defined as the set of all patent applications protecting the same ‘priority' (as defined by the Paris Convention)
For "Diffusion of environment-related technologies" indicators, only "restricted coverage" (i.e. at least 90% of patent office coverage) is used.
This dataset provides information on water quality of selected rivers. Water quality is measured in terms of annual mean concentrations of dissolved oxygen and BOD; of nitrates, phosphorus and ammonium; and of lead, cadmuim, chromium and copper. The rivers selected are main rivers draining large watersheds in the countries chosen; the measurement locations are at the mouths or downstream frontiers of the rivers. These parameters provide information concerning the state and trends of pollution by organic matter and nutrients, heavy metals and other metals. In reading the data, one should compare trends rather than absolute values, since measurement methods vary by country.
It also provides information on annual mean concentrations of phosphorus and nitrogen in selected lakes. These parameters concern nutrient concentrations and related degrees of eutrophication of lakes and reservoirs. The interpretation of these tables should take into account variations in the methods of sampling (e.g. sampling location and number of measurements at different sampling locations and in different years).