determinants of the changes in the elasticity of co2 emissions in iran

In this study, while calculating the co2 emission demand elasticity and co2 emission output elasticity of production sectors for 2001 and 2011 using input-output analysis, co2 emission elasticities are decomposed using structural decomposition analysis to identify stimuli. findings show that the electricity generation, transmission, and distribution sector has the most elasticity in these years. the ghosh inverse matrix effect is a strong stimulus to the co2 emission elasticity of the sectors. this result indicates that the change in the share of output i, which is sold to sector j as an intermediate input, is a strong stimulus to increase the elasticity of co2 emissions. these changes can be due to increased economic activities and the inefficiency of production structure. increasing the share of renewable energy in the energy consumption basket of production sectors, increasing energy efficiency (reducing energy intensity) by replacing new and advanced equipment with old and worn equipment and improving production structure can help reduce the elasticity and co2 emission in iran's production sectors. the results of this study are significant for energy and environmental policymakers.