There are three main categories which contains methods for assessing international trade-related spillovers.
Multi-Regional Input-Output (MRIO) MRIO is one of the categories of analysis which combines internationally harmonized input-output tables and trade statistics for sectors or groups of products or services of environmental use (e.g. land, water, timber), pollution (e.g. reactive nitrogen), or socioeconomis impacts (e.g. child labor, labor accidents, gender pay gap). The biggest advantage is the relative ease with which analyses can be performed for different countries. The disadvantage could be the fact that MRIO does not consider context-specific technologies, efficiencies or resource- or pollution- intensities but instead use average impacts. So, MRIO methods are best suited to asssessing spillover effects of aggregate sectors or product groups at country level.
Life-Cycle Assessments (LCA) These assessments are used to evaluate the environmental impact of individual products and their production processes across geographic and temporal scales. Moreover, they can also measure socieconomic impacts. These assessments are provided with a bottom-up method, which is an opposite to the top-down method in MRIO. The LCA are less suitable to assess spillover effects. They have to face the "truncation problem" and also requires vast volumes of data, which can be hard to get.
Material-Flow Analyses (MFA) These analyses track specific material flows along supply chains and across countries. The tracking is primarily done for raw or less processed commodities. It cannot be as globally comprehensive as MRIO, because it also suffers from the truncation problem like LCA.
MFA is based on the quantification and measuring of matter and substances in relation to the processes in a system such as a city or country. It is confined to a specific period of time. Flows are expressed in kg/year or, alternatively, in kg/capita/year. MFA is based on the principle of matter conservation. The aim is to identify problems and quantifying the exact impact of potential spillovers. However, it needs a large amount of data to accurately function and many countries do not have the data available to do such an analysis. On the other hand, MFA is commonly used especially in matters of
Sanitation and can be used to determine the best sanitation technology. It is especially well suited to planning and decision making. It has been proven to be a suitable tool for detection of environmental problems and adequate solutions. == Types of indexes ==