Analyzing the non-linear association between urbanization and ecological footprint: an empirical analysis

被引:0
|
作者
Muhammad Arif
Abid Rashid Gill
Minhaj Ali
机构
[1] The Islamia University of Bahawalpur,Department of Economics
来源
Environmental Science and Pollution Research | 2023年 / 30卷
关键词
Urbanization; Environmental degradation; Ecological footprint; NARDL; Pakistan;
D O I
暂无
中图分类号
学科分类号
摘要
Due to urbanization’s substantial impact on economic development and environmental quality, particularly in emerging nations, the subject has attracted major attention in recent years. Urbanization increases infrastructure, transportation, and high energy consumption demand, leading to increased environmental degradation. Therefore, this study examines how urbanization has affected environmental degradation in Pakistan using yearly data from 1970 to 2020. A non-linear autoregressive distributed lag (NARDL) model is applied to study the asymmetric impact of urbanization on ecological footprint per capita. The results show that urbanization is asymmetrically associated with environmental degradation. Positive changes in urbanization led to increased environmental degradation, while negative changes in urbanization led to a decline in environmental degradation in Pakistan. Foreign direct investment and industrial production are positive and significant factors of environmental degradation, while trade openness and money supply are negatively linked with environmental degradation in Pakistan. Economic growth shows a positive link, while economic growth square shows a negative link with environmental degradation. These findings also confirm the environmental Kuznets curve (EKC) hypothesis in Pakistan. It is suggested that the urbanization threshold should be analyzed to determine where environmental degradation tends to decline, and less polluting technology and renewable energy resources should be encouraged to reduce environmental degradation in Pakistan.
引用
收藏
页码:109063 / 109076
页数:13
相关论文
共 50 条
  • [21] Partial Correlation Analysis of Association between Subjective Well-Being and Ecological Footprint
    Zhang, Jinting
    Zhan, F. Benjamin
    Wu, Xiu
    Zhang, Daojun
    SUSTAINABILITY, 2021, 13 (03) : 1 - 14
  • [22] Empirical Analysis of Population Urbanization in PoyangLake Ecological Economis Region
    He Yun
    Fang Meng
    LOW-CARBON MODEL WHEN PURSUIT OF URBANIZATION IN CHINA, 2011, : 160 - 165
  • [23] Testing non-linear effect of urbanization on environmental degradation: Cross-country evidence
    Talib, Mirza Nouman Ali
    Hashmi, Shujahat Haider
    Aamir, Muhammad
    Khan, Muhammad Asif
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [24] The trade-off between middle class and ecological footprint: Empirical cross-country analysis
    Ren, Zhiyuan
    Zhu, Yuhan
    ECOLOGICAL ECONOMICS, 2025, 235
  • [25] Investigating the impact of human capital on the ecological footprint in India: An empirical analysis
    Zahoor Ahmed
    Zhaohua Wang
    Environmental Science and Pollution Research, 2019, 26 : 26782 - 26796
  • [26] A non-linear assessment of the urbanization and climate change nexus: the African context
    Sofien Tiba
    Environmental Science and Pollution Research, 2019, 26 : 32311 - 32321
  • [28] Link between Technically Derived Energy Efficiency and Ecological Footprint: Empirical Evidence from the ASEAN Region
    Khan, Dilawar
    Nouman, Muhammad
    Popp, Jozsef
    Khan, Muhammad Asif
    Ur Rehman, Faheem
    Olah, Judit
    ENERGIES, 2021, 14 (13)
  • [29] Convergence analysis of the ecological footprint: theory and empirical evidence from the USMCA countries
    Cem Işık
    Munir Ahmad
    Serdar Ongan
    Dilek Ozdemir
    Muhammad Irfan
    Rafael Alvarado
    Environmental Science and Pollution Research, 2021, 28 : 32648 - 32659
  • [30] Convergence analysis of the ecological footprint: theory and empirical evidence from the USMCA countries
    Isik, Cem
    Ahmad, Munir
    Ongan, Serdar
    Ozdemir, Dilek
    Irfan, Muhammad
    Alvarado, Rafael
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (25) : 32648 - 32659