Tradeoff Analysis for Multi-Dimensional Impact Assessment: TOA-MD
The TOA-MD version 5.0 Model is a unique simulation tool for multi-dimensional impact assessment that simulates the adoption and impacts of changes in technology and socio-economic conditions, environmental conditions such as climate and policy interventions such as payments for ecosystem services.
TOA-MD is model designed to provide timely, sufficiently accurate information to support informed decision making. To accomplish this goal, analysts need to make use of the best available data. The TOA-MD model provides a framework in which analysts can utilize the best available data at the time that analysis is needed. As always, the better the data, the more reliable the analysis is likely to be.
Some Features of the TOA-MD:
- TOA-MD is designed to simulate what would be observed if it were possible to conduct a controlled experiment to measure the economic, environmental and social impacts of farms adopting a new production technology.
- TOA-MD is a parsimonious, transparent model: results can be easily interpreted in relation to underlying data parameters.
- TOA-MD is designed to attain the best approximation possible, given the time and other resources available to conduct the analysis.
- TOA-MD can be used for prospective and policy relevant IA: extrapolation, ex post and ex ante analysis; it provides an alternative to econometric models that require large panel datasets.
- TOA-MD is designed to use sensitivity analysis to address the inevitable uncertainties associated with impact assessment.
- Software and documentation are available to registered users at http://tradeoffs.oregonstate.edu
Examples of applications using the TOA-MD
Assess adoption and impacts of agricultural technologies:
Antle J.M. and R.O. Valdivia. "Methods for Assessing Economic, Environmental and Social Impacts of Aquaculture Technology: Integrated Agriculture-Aquaculture in Malawi.” 9th Annual Fisheries and Aquaculture Forum, Shanghai Ocean University, April 22 2011
Simulate ecosystem service supply and effects of incentive payments on technology use in farm populations
Antle, J.M., B. Diagana, J.J. Stoorvogel and R.O. Valdivia. 2010. “Minimum-Data Analysis of Ecosystem Service Supply in Semi-Subsistence Agricultural Systems: Evidence from Kenya and Senegal.” Australian Journal of Agricultural and Resource Economics 54:601-617.
Assess impacts of environmental change such as climate change on populations of farms.
Claessens, L., J.M. Antle, J.J. Stoorvogel, R.O. Valdivia, P.K. Thornton, and M. Herrero. 2012. “A minimum-data approach for agricultural system level assessment of climate change adaptation strategies in resource-poor countries.” Agricultural Systems. 111 (2012) 85-95.
Projects using this method
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