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100			_aWendling, Zachary A. _954308
245			_aA Scalable Energy–Economy Model for State-Level Policy Analysis Applied to a Demand-Side Management Program/ _cZachary A. Wendling
260			_bSage, _c2020.
300			_aVol.34, issue 4, 2020: (372-386p.)
520			_aOver the past two decades, states and cities implemented low-carbon energy development, renewable portfolio standards, demand-side management (DSM), renewable energy production incentives, green building requirements, regional carbon trading agreements, and other energy-based economic development initiatives. Yet the dearth of state-level and substate-level models makes it difficult to predict the effects of such actions. This article addresses this shortcoming by presenting the performance results of the new Indiana Scalable Economy and Energy Model (IN-SEEM)—a model utilizing a dynamic, simultaneous equations framework—and demonstrates the model’s capabilities with an analysis of electricity price increases from a DSM program in the state of Indiana. Overall performance of the model is strong, with high adjusted R2 values and low mean absolute percent errors for most of 30 endogenous variables. A DSM price increase analysis finds variation in impact across the state’s 10 major economic sectors and small changes in energy consumption.
650			_aEnergy–Economy Model _954309
650			_aState-Level Policy _954310
650			_aDemand-Side Management Program _954311
700			_aWarren, David C. _eCo-author _954312
700			_aRubin, Barry M. _eCo-author _954313
700			_aCarley, Sanya _eCo-author _954314
700			_aRichards, Kenneth R. _eCo-author _954315
773	0		_010589 _916747 _dSage Publisher _tEconomic development quarterly
856			_uhttps://doi.org/10.1177/0891242420937792
942			_2ddc _cART
999			_c13453 _d13453