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  • Author: Martin Persson, Sabine Henders, Thomas Kastner
  • Publication Date: 10-2014
  • Content Type: Working Paper
  • Institution: Center for Global Development
  • Abstract: This paper aims to improve our understanding of how and where global supply-chains link consumers of agricultural and forest commodities across the world to forest destruction in tropical countries. A better understanding of these linkages can help inform and support the design of demand-side interventions to reduce tropical deforestation. To that end, we map the link between deforestation for four commodities (beef, soybeans, palm oil, and wood products) in eight case countries (Argentina, Bolivia, Brazil, Paraguay, Democratic Republic of the Congo, Indonesia, Malaysia, and Papua New Guinea) to consumption, through international trade. Although few, the studied countries comprise a large share of the internationally traded volumes of the analyzed commodities: 83% of beef and 99% of soybean exports from Latin America, 97% of global palm oil exports, and roughly half of (official) tropical wood products trade. The analysis covers the period 2000-2009. We find that roughly a third of tropical deforestation and associated carbon emissions (3.9 Mha and 1.7 GtCO2) in 2009 can be attributed to our four case commodities in our eight case countries. On average a third of analyzed deforestation was embodied in agricultural exports, mainly to the EU and China. However, in all countries but Bolivia and Brazil, export markets are dominant drivers of forest clearing for our case commodities. If one excludes Brazilian beef on average 57% of deforestation attributed to our case commodities was embodied in exports. The share of emissions that was embodied in exported commodities increased between 2000 and 2009 for every country in our study except Bolivia and Malaysia.
  • Topic: Energy Policy, Environment, Natural Resources
  • Political Geography: China, Europe, Malaysia, Brazil, Argentina, Latin America, Bolivia
  • Author: Kevin Ummel
  • Publication Date: 08-2012
  • Content Type: Working Paper
  • Institution: Center for Global Development
  • Abstract: The Carbon Monitoring for Action (CARMA) database provides information about the carbon dioxide emissions, electricity production, corporate ownership, and location of more than 60,000 power plants in over 200 countries. Originally launched in 2007, CARMA is provided freely to the public at www.carma. org and remains the only comprehensive data source of its kind. This paper documents the methodology underpinning CARMA v3.0, released in July, 2012. Comparison of CARMA model output with reported data highlights the general difficulty of precisely predicting annual electricity generation for a given plant and year. Estimating the rate at which a plant emits CO2 (per unit of electricity generated) generally faces fewer obstacles. Ultimately, greater disclosure of plant-specific data is needed to overcome these limitations, particularly in major emitting countries like China, Russia, and Japan. For any given plant in CARMA v3.0, it is estimated that the reported value is within 20 percent of the actual value in 85 percent of cases for CO2 intensity, 75 percent for annual CO2 emissions, and 45 percent for annual electricity generation. CARMA's prediction models are shown to offer significantly better estimates than more naïve approaches to estimating plant-specific performance.
  • Topic: Climate Change, Environment, Health, Industrial Policy
  • Political Geography: Russia, Japan, China