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Community Choice Aggregation Feasibility Analysis Alameda County case, and they become negative in the "Low PG&E rates" sensitivity case (i.e., CCA customer rates are higher than PG&E rates). In the stress case,9 Alameda County CCA customer rates exceed PG&E customer rates on average over the 2017-2030 period for all three scenarios, with the rate differential being highest in Scenario 3 at-1.50/kWh. This is double the Scenario 2 stress case rate differential of- 0.750/kWh. Figure ES-7. Difference Between PG&E Customer Rates and CCA Customer Rates Under Each Sensitivity Case and Supply Scenario, 2017-2030 Average(i.e., positive vertical axis means PG&E rates higher than CCA rates). •Scenario 1 ■Scenario 2 •Scenario 3 4 3 2 2 a, III II_ Diablo Canyon Base High High PCIA High Natural Low PG&E St. rio Relicensed Renewables Gas prices rates -1 Prices -2 Macroeconomic and Job Impacts The local economic development and jobs impacts for the three scenarios were analyzed using the dynamic input-output macroeconomic model developed by Regional Economic Models, Inc. (REMI). The model accounts for not only the impact of direct CCA activities(e.g., construction jobs at a new solar power plant or energy efficiency device installers),but also how the rate savings that County households and businesses might experience with a CCA ripple through the local economy, creating more jobs and regional economic growth. Table ES-3 and Figure ES-8 illustrate this through high-level results expressed as average annual job changes for the three CCA scenarios. While Scenarios 1 and 2 create nearly identical direct jobs(due to comparable investment in local renewable projects), Scenario 1 creates far more 9 Stress Scenario assumes the risk cases no favorable to the CCA:High Renewable Prices,High PCIA,High Natural Gas Prices,and Low PG&E rates. July 2016 x MRW&Associates,LLC