Uncovering the drivers of ecological footprints: A STIRPAT analysis of urbanization, economic growth, and energy sustainability in OECD countries

被引:6
作者
Quan, Zichuan [1 ]
Xu, Xi [1 ]
Jiang, Jikun [1 ]
Wang, Weihao [1 ]
Gao, Shuning [1 ]
机构
[1] Qingdao Univ Technol, Sch Management Engn, Qingdao 266520, Peoples R China
关键词
Ecological footprint; Urbanization; Economic growth; Energy; STIRPAT model;
D O I
10.1016/j.jclepro.2024.143686
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigates the impact of human activities on environmental degradation, focusing on the roles of urbanization, economic growth, energy intensity and renewable energy within the STIRPAT framework. To this end, the study adopts the ecological footprint (EF) as the environmental indicator. Employing Panel Quantile Regression, the study analyzes data from 31 OECD countries spanning the period 2000-2021. The findings reveal that renewable energy consumption and urbanization exert significant negative influences on the EF, with urbanization proving more effective than renewable energy usage across all quantiles. Both economic growth and energy intensity contribute to environmental degradation, and the impact on the EF escalates with higher quantiles. Additionally, the causality test results demonstrate a two-way causal link among urbanization, economic growth, energy intensity, renewable energy use, and EF. Finally, based on the empirical results, this paper suggests that an energy revolution should be carried out to promote the sustainable use of energy. Meanwhile, the high-level urbanization is suggested to reduce the EF through the aggregation of living production to achieve sustainable development.
引用
收藏
页数:13
相关论文
共 90 条
[61]   Determinants of the load capacity factor in China: A novel dynamic ARDL approach for ecological footprint accounting [J].
Pata, Ugur Korkut ;
Isik, Cem .
RESOURCES POLICY, 2021, 74
[62]  
Pesaran M.H., 2004, Cambridge Working Papers in Economics
[63]   A simple panel unit root test in the presence of cross-section dependence [J].
Pesaran, M. Hashem .
JOURNAL OF APPLIED ECONOMETRICS, 2007, 22 (02) :265-312
[64]   Quantile regression with nonadditive fixed effects [J].
Powell, David .
EMPIRICAL ECONOMICS, 2022, 63 (05) :2675-2691
[65]   Urbanization, informal economy, and ecological footprint quality in South Asia [J].
Qayyum, Unbreen ;
Sabir, Samina ;
Anjum, Sohail .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (47) :67011-67021
[66]   Impacts of industrialization, renewable energy and urbanization on the global ecological footprint: A quantile regression approach [J].
Quito, Byron ;
De la Cruz del Rio-Rama, Maria ;
Alvarez-Garcia, Jose ;
Duran-Sanchez, Amador .
BUSINESS STRATEGY AND THE ENVIRONMENT, 2023, 32 (04) :1529-1541
[67]   The effect of renewable energy consumption on ecological footprint in N-11 countries: Evidence from Panel Quantile Regression Approach [J].
Raghutla, Chandrashekar ;
Padmagirisan, P. ;
Sakthivel, P. ;
Chittedi, Krishna Reddy ;
Mishra, Smrutisikta .
RENEWABLE ENERGY, 2022, 197 :125-137
[68]   Determinants of Ecological Footprints: What is the role of globalization? [J].
Rudolph, Alexandra ;
Figge, Lukas .
ECOLOGICAL INDICATORS, 2017, 81 :348-361
[69]   Powering a sustainable future: Does economic structure influence the ecological footprint? [J].
Sahoo, Malayaranjan ;
Kaushik, Shreyasee ;
Gupta, Mohini ;
Islam, Muhummad Khairul ;
Nayak, Priyanka .
SUSTAINABLE DEVELOPMENT, 2024, 32 (04) :3809-3823
[70]   The intermittent effects of renewable energy on ecological footprint: evidence from developing countries [J].
Sahoo, Malayaranjan ;
Sethi, Narayan .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (40) :56401-56417