检验经济复杂性对中国生态足迹的作用:一种非参数分位数因果关系方法

IF 4 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Energy & Environment Pub Date : 2022-04-18 DOI:10.1177/0958305X221094573

S. Akadiri, T. Adebayo, Obioma Chinenyenwa Asuzu, Ijeoma Christina Onuogu, Izuchukwu Oji-Okoro

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引用次数: 53

摘要

中国以其庞大的工业部门和多样化的能源结构而闻名，这可能会造成环境污染，因为化石燃料仍然是中国的主要能源来源。在中国政府推动实现低碳排放和进一步减少温室气体排放的背景下，本研究在现有文献的基础上，结合QQ回归和非参数技术，研究了1985年第一季度至2019年第四季度经济复杂性、不可再生能源和可再生能源消费对中国生态足迹的影响。总体而言，可再生能源、不可再生能源利用、经济增长和经济复杂性对生态足迹具有正向影响。此外，非参数因果关系结果显示，可再生能源、不可再生能源利用、经济增长和经济复杂性可以显著预测生态足迹在不同分位数上的变化。我们认为，该地区的政策制定者应该学习中国的促增长心态，因为中国主要依靠化石燃料。这就需要在经济活动中立即用更环保的资源和节能技术来替代。否则，在中国实现可持续发展目标13将是一项挑战。对于可持续的可再生能源投资，中国应该转向辅助市场和现货市场，在那里，可再生能源的低储能和低边际成本可以促进更高的电力成本降低，并鼓励更高的电力交易。

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Testing the role of economic complexity on the ecological footprint in China: a nonparametric causality-in-quantiles approach

China is known for its large industrial sector and diversified energy mix, which could contribute to environmental pollution, as fossil fuels remain China's main source of energy. With the recent drive by the Chinese government to achieve low carbon emissions and further reduce greenhouse gases, this study adds to the existing literature by combining the quantile-on-quantile (QQ) regression and non-parametric techniques to examine the role of economic complexity, nonrenewables energy and renewable energy consumption on the ecological footprint in China over the period 1985Q1–2019Q4. Overall, results show that renewable energy, non-renewable energy use, economic growth and economic complexity affects ecological footprint positively. In addition, the nonparametric causality outcomes revealed that renewable energy, non-renewable energy use, economic growth and economic complexity can significantly predict variations in ecological footprint at different quantiles. We are of the opinion that policymakers in this region should work on the pro-growth mentality of China, which is majorly fossil fuel-driven. This requires an immediate replacement with more eco-friendly sources and energy-saving technologies for economic activities. Otherwise, fulfilling the SDG 13 goals in China will be challenging. For a sustainable renewable energy investment, China should shift to ancillary and spot markets, where the low energy storage and low marginal cost of renewable energy could facilitate higher reduction in electricity cost and encourage higher trading of electricity.

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来源期刊

Energy & Environment ENVIRONMENTAL STUDIES-

CiteScore

7.60

自引率

7.10%

发文量

157

期刊介绍： Energy & Environment is an interdisciplinary journal inviting energy policy analysts, natural scientists and engineers, as well as lawyers and economists to contribute to mutual understanding and learning, believing that better communication between experts will enhance the quality of policy, advance social well-being and help to reduce conflict. The journal encourages dialogue between the social sciences as energy demand and supply are observed and analysed with reference to politics of policy-making and implementation. The rapidly evolving social and environmental impacts of energy supply, transport, production and use at all levels require contribution from many disciplines if policy is to be effective. In particular E & E invite contributions from the study of policy delivery, ultimately more important than policy formation. The geopolitics of energy are also important, as are the impacts of environmental regulations and advancing technologies on national and local politics, and even global energy politics. Energy & Environment is a forum for constructive, professional information sharing, as well as debate across disciplines and professions, including the financial sector. Mathematical articles are outside the scope of Energy & Environment. The broader policy implications of submitted research should be addressed and environmental implications, not just emission quantities, be discussed with reference to scientific assumptions. This applies especially to technical papers based on arguments suggested by other disciplines, funding bodies or directly by policy-makers.