Does renewable energy consumption reduce energy ecological footprint: evidence from China. (1st March 2023)

• Record Type: Journal Article
• Authors: Nan, Yu; Sun, Renjin; Mei, He; Yue, Sun; Yuliang, Li
• Is Part Of: Environmental research. Volume 2:Number 1(2023)
• Publication Date: 2023-03-01
• Subjects: renewable energy -- energy ecological footprint -- vector autoregressive model -- granger causality test -- quantile regression; Applied ecology -- Periodicals; Ecology -- Research -- Periodicals; Biodiversity -- Research -- Periodicals; Human ecology -- Research -- Periodicals; 577
• DOI: 10.1088/2752-664X/aca76c
• Languages: English
• ISSNs: 2752-664X

Abstract

Abstract: The modern economic growth paradigm relies heavily on natural endowments. Renewable energy as a permanent energy source has the potential to reduce the ecological footprint (EF). We adopt the Vector Autoregressive model to examine the impact of renewable energy consumption on the energy EF and use the quantile regression method to test the heterogeneity and asymmetry between energy EF and photovoltaic, wind energy, and biomass energy. The results show that renewable energy has a long-term negative impact on the EF, and for every 1% increase in renewable energy consumption, the energy EF will decrease by 2.91%. The contribution of renewable energy consumption to reducing the EF is 1.34% on average. There is no two-way Granger causality between renewable energy consumption and energy EF. The reduction effect of wind energy consumption on the energy EF varies the most, followed by biomass energy and photovoltaic. In addition, under different energy EF distribution conditions, the impact of photovoltaic or wind energy or biomass energy consumption on the energy EF is different.