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Economic and environmental impacts of local utility-delivered industrial energy-efficiency rebate programs

Abstract Manufacturing operations are constantly encouraged to include energy-efficient practices into their plant operations, including through rebate programs that provide monetary rewards for firms who purchase and employ energy-efficient equipment in their facilities. This article presents a novel methodology for analyzing the cascading economic and environmental effects of an electric utility company's industrial energy-efficiency rebate programs and applies it to the case of a local utility located in the U.S. state of Ohio. It examines the utility's industrial rebate programs for lighting, motor, and heating, ventilation, and air conditioning (HVAC) systems and estimates the economic and environmental impacts of the programs using an input-output modeling framework. All three rebate programs provided a modest economic boost not only to directly involved equipment manufacturers and marketing service providers, but also to other upstream industries responding to the direct impact and the final demand augmented by the associated increase in value added in the regional economy. Emissions avoided as a result of electricity savings were found to outweigh additional emissions generated from the production of the energy-efficiency equipment in the region throughout the program years. However, if the full equipment purchase data were made available, the amount of added CO2 emissions would be larger.
- International Paper (United States) United States
- Korean Association Of Science and Technology Studies Korea (Republic of)
- International Paper (United States) United States
- Korean Association Of Science and Technology Studies Korea (Republic of)
- University of Dayton United States
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).24 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
