Business School, Nanjing Xiaozhuang University, No. 3601 Hongjing Avenue, Jiangning District, Nanjing 211171, China.
Int J Environ Res Public Health. 2022 Nov 24;19(23):15647. doi: 10.3390/ijerph192315647.
In recent years, the impact of global climate change has increasingly revealed that energy transformation has become an indispensable part of achieving carbon neutrality. Thus, the relationship between energy transformation and economic growth has become the focus of academic attention. This study examines energy transition issues by using the panel threshold method. It explores the nonlinear impact of renewable energy consumption on economic growth, identifies various factors that lead to this nonlinear impact, and verifies its threshold effect. A comprehensive analysis reveals the following. (1) Overall, renewable energy consumption inhibits real gross domestic product (GDP) growth, but, in the long run, the negative impact becomes positive. (2) The threshold effect of energy consumption intensity (EI) is significant, with a threshold value of approximately 3.213. This means that when EI ≤ 3.213, renewable energy consumption promotes economic growth. However, EI > 3.213 indicates that this impact is significantly negative, which means that advancing the energy transition at this time may occur at the expense of real GDP growth. (3) There is also a significant threshold effect in energy transformation, with a threshold value of approximately 6.456. Similarly, when energy consumption transition (ET) ≤ 6.456, renewable energy consumption dampens real economic growth, and the economic cost of promoting renewable energy consumption is greater at this time. Alternatively, when ET > 6.456, this impact is significant at the 1 percent level and significantly positive. (4) There is also a significant threshold effect for emerging technologies, with a threshold value of approximately 1.367. When ET ≤ 1.367, renewable energy consumption dampens real economic growth, and the economic cost of promoting renewable energy consumption is greater. When ET > 1.367, the impact is significantly positive at the 1% level. To promote the positive development of economic growth, climate change, and energy transition, the nonlinear relationship studied in this paper can fill the gaps in existing research in theory and provide a theoretical basis for the government to adopt different policies at different stages of the energy transition to lay the foundation for improving global climate change in practice.
近年来,全球气候变化的影响日益凸显,能源转型已成为实现碳中和不可或缺的一部分。因此,能源转型与经济增长之间的关系成为学术界关注的焦点。本研究采用面板门槛方法研究能源转型问题。探讨了可再生能源消费对经济增长的非线性影响,识别了导致这种非线性影响的各种因素,并验证了其门槛效应。综合分析表明:(1)整体而言,可再生能源消费抑制实际国内生产总值(GDP)增长,但从长期来看,负面影响变为正面影响。(2)能源消费强度(EI)的门槛效应显著,阈值约为 3.213。这意味着当 EI≤3.213 时,可再生能源消费促进经济增长。然而,EI>3.213 表明这种影响显著为负,这意味着此时推进能源转型可能以牺牲实际 GDP 增长为代价。(3)能源转型也存在显著的门槛效应,阈值约为 6.456。同样,当能源消费转型(ET)≤6.456 时,可再生能源消费抑制实际经济增长,此时推广可再生能源消费的经济成本更高。或者,当 ET>6.456 时,这种影响在 1%的水平上显著为正。(4)新兴技术也存在显著的门槛效应,阈值约为 1.367。当 ET≤1.367 时,可再生能源消费抑制实际经济增长,推广可再生能源消费的经济成本更高。当 ET>1.367 时,这种影响在 1%的水平上显著为正。为了促进经济增长、气候变化和能源转型的积极发展,本文研究的非线性关系可以在理论上填补现有研究的空白,为政府在能源转型的不同阶段采取不同政策提供理论依据,为实践中改善全球气候变化奠定基础。