Investigating the determinants of ecological and carbon footprints. Evidence from high-income countries

IF 1.8 Q4 ENERGY & FUELS
AIMS Energy Pub Date : 2022-01-01 DOI:10.3934/energy.2022037
Hazrat Yousaf, Azka Amin, W. Ameer, M. Akbar
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引用次数: 1

Abstract

High-income countries have experienced rapid economic growth, urbanization, consumption of renewable and non-renewable energy, increased trade dependency, and the attainment and maintenance of higher living standards over the last four decades, while also experiencing an increasing trend in environmental degradation. These experiences have fueled our desire to learn more about the factors that influence the ecological footprint and carbon footprint of high-income countries. The purpose of the present study is to investigate the effects of natural resources, urbanization, GDP per capita, population, and fossil fuels on ecological and carbon footprint for 34 high-income countries over the period 2003–2015. Using the STIRPAT model, the results confirm the environmental Kuznets curve hypothesis in the case of total ecological footprint while the link between economic growth and carbon footprint is in U-shape. In terms of total ecological footprint determinants, population reduction as well as efficient urban design, are viable solutions. The findings support the positive and statistically significant influence of population, urbanization, and fossil fuels on total ecological footprint, as well as the negative impact of ecological efficiency. The findings of the carbon footprint suggest that reduction in coal and oil consumption, as well as increasing the use of gas as a source of energy, are all viable choices to mitigate carbon footprint. Furthermore, increasing ecological efficiency could be a viable policy option for reducing high-income countries' footprints.
调查生态足迹和碳足迹的决定因素。来自高收入国家的证据
在过去四十年中,高收入国家经历了快速的经济增长、城市化、可再生和不可再生能源的消费、贸易依赖性的增加以及生活水平的提高和维持,同时也经历了环境恶化的日益加剧的趋势。这些经历激发了我们对高收入国家生态足迹和碳足迹影响因素的更多了解。本研究的目的是调查自然资源、城市化、人均GDP、人口和化石燃料对34个高收入国家2003-2015年期间生态和碳足迹的影响。采用STIRPAT模型,结果证实了总生态足迹情况下的环境库兹涅茨曲线假设,经济增长与碳足迹之间呈u型关系。就总生态足迹决定因素而言,人口减少和高效的城市设计是可行的解决方案。研究结果支持了人口、城市化和化石燃料对总生态足迹的正向影响和统计显著影响,以及生态效率的负向影响。碳足迹的研究结果表明,减少煤炭和石油的消耗,以及增加天然气作为能源的使用,都是减少碳足迹的可行选择。此外,提高生态效率可能是减少高收入国家碳足迹的可行政策选择。
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来源期刊
AIMS Energy
AIMS Energy ENERGY & FUELS-
CiteScore
3.80
自引率
11.10%
发文量
34
审稿时长
12 weeks
期刊介绍: AIMS Energy is an international Open Access journal devoted to publishing peer-reviewed, high quality, original papers in the field of Energy technology and science. We publish the following article types: original research articles, reviews, editorials, letters, and conference reports. AIMS Energy welcomes, but not limited to, the papers from the following topics: · Alternative energy · Bioenergy · Biofuel · Energy conversion · Energy conservation · Energy transformation · Future energy development · Green energy · Power harvesting · Renewable energy
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