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臺灣能源期刊論文全文

臺灣能源期刊第6卷第4期內容

出刊日期:December, 2019

題目
能源密集產業電力效率提升與電力節約之反彈 效果測定
Title
Measurement of the Electricity Efficiency Improvement and Electricity Saving’s Rebound Effect on Energy-Intensive Industries
作者
塗千慧,鄭睿合,梁啟源,林杏秋,林華偉
Authors
Chian-Huei Tu,Ruei-He Jheng,Chi-Yuan Liang,Hsin-Chiu Lin,Hua-Wei Lin
摘要
估計反彈效果以便正確顯現各項能源政策工具對能源效率影響程度至關重要。過往國內文獻大 多論及電價調整對整體經濟或各產業之節電影響,並未探討電價變動後對於電力效率提升與電力節 約之反彈效果,故本文運用我國1982-2017年六大能源密集產業之電力消費量與相關影響變數,採 效率彈性估算法與隨機邊界分析法,研析我國能源密集產業電力效率提升與電力節約之反彈效果。 研究結果顯示:(1) 能源密集產業之工業生產指數提高將增加電力消費量,勞動投入增加亦對電力 消費產生正向影響,而調漲電價則會抑低電力消費量。(2) 我國能源密集產業於1982-2017年平均電 力使用效率水準為0.81,顯示在產出、資本、勞動、中間投入、電價、產業結構成長率等因素不變 下,臺灣能源密集產業電力使用效率仍有19%的改善空間。(3) 短期電力效率反彈效果為2.44%,長 期則為-3.56%,表示節電措施欲達到預期節能目標,須加大其力道。本文建議在未來國際能源價格 循環波動下,政府宜堅守浮動電價調整機制,合理反映其內部及外部成本,引導產業提升電力使用 效率,並為促進能源密集產業達到能源轉型目標,宜持續鼓勵業者採用高能源效率設備,以及透過 能源節約輔導、規管或獎勵機制等,強化能源需求面管理措施,同時採教育和宣導方式增加人員之 節能意識,以及導入能源管理師或節能服務團隊,強化能源管理事務,藉以減緩電力消費增量。
關鍵字
能源效率,反彈效果,隨機邊界分析法,效率彈性估算法
Abatract
Most literatures had dealt with the impact of electricity price change on energy consumption, neglecting the rebound effect. However, it is important to consider the rebound effect for estimating the impact of various energy policy instruments on energy efficiency change correctly. This paper uses electricity consumption and related variables of the Taiwan’s top six energy-intensive industries during 1982-2017. We employ the efficiency elasticity method and stochastic frontier approach to analyze electricity efficiency level and its rebound effect in Taiwan’s energy-intensive industry. The main findings are: (1) If the industrial production index of the energy-intensive industry rises, electricity consumption would increase. Labor input has positive effect on electricity consumption. Additionally, Electricity price has negative effect on electricity consumption growth. (2) The average annual electricity efficiency is estimated as 0.81 during 1982-2017 in Taiwan’s energy-intensive industry, implying that there is still 19% potential for electricity efficiency improvement if the output, capital, labor, intermediate, electricity price and industry structure are given. (3) The rebound effect is 2.44% in the short run and -3.56% in the long run. In other words, policy tools need extra efforts for achieving an energy saving target in the short run. In the long run, energy-intensive industry can overcome the rebound effect and even achieve a higher electricity saving target. As international energy prices fluctuate in the future, it is suggested that the government should stick to the floating electricity price adjustment mechanism to reflect its internal and external costs, guiding the industry to use electricity more efficiently. Additionally, to promote energyintensive industries to achieve energy transformation goals, it is suggested that the government should continue to encourage operators to adopt high-energy efficiency equipment, and strengthen energy demand management measures through energy conservation counseling, regulations or incentive mechanisms, etc. Simultaneously, we should strengthen the awareness of energy conservation for employees and join energy managers or energy service teams to strengthen energy management affairs, so as to lower the electricity consumption.
Keywords
Energy Efficiency, Rebound Effect, Stochastic Frontier Approach, Efficiency Elasticity Method