Pollution Haven or Halo? How European countries leverage FDI, energy, and human capital to alleviate their ecological footprint

被引:112
|
作者
Saqib, Najia [1 ]
Ozturk, Ilhan [2 ,3 ,4 ]
Usman, Muhammad [5 ,6 ]
Sharif, Arshian [7 ]
Razzaq, Asif [8 ]
机构
[1] Prince Sultan Univ, Coll Business Adm, Dept Finance, Riyadh, Saudi Arabia
[2] Univ Sharjah, Coll Business Adm, Sharjah, U Arab Emirates
[3] Nisantasi Univ, Fac Econ Adm & Social Sci, Istanbul, Turkiye
[4] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung, Taiwan
[5] Wuhan Univ, China Inst Dev Strategy & Planning, Wuhan 430072, Peoples R China
[6] Wuhan Univ, Ctr Ind Econ, Wuhan 430072, Peoples R China
[7] Sunway Univ, Business Sch, Dept Econ & Finance, Subang Jaye, Malaysia
[8] ILMA Univ, Dept Business Adm, Karachi, Pakistan
关键词
EKC; FDI; Pollution Haven; Pollution Halo; Energy structure; Renewable energy; Ecological footprint; European countries; ENVIRONMENTAL KUZNETS CURVE; FOREIGN DIRECT-INVESTMENT; CROSS-SECTIONAL DEPENDENCE; LAGRANGE MULTIPLIER TEST; ECONOMIC-GROWTH; CARBON EMISSIONS; RENEWABLE ENERGY; CO2; EMISSIONS; DEGRADATION EVIDENCE; MIDDLE-EAST;
D O I
10.1016/j.gr.2022.12.018
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The nexus between economic growth and the ecological footprint has been a recurring focus investiga-tion for a long time. European countries are speeding up their environmental efforts to improve air qual-ity, and their commitments for implementing the Paris Climate Agreement's 2015 treaty action plans. Thus, this paper investigates the environmental Kuznets Curve and the pollutant halo hypothesis for the time period of 1990-2020 for 16 European countries. The empirical analysis uses cross-sectionally augmented autoregressive distributed lag modelling, which accounts for time dynamics, cross-sectional dependence, and cross-sectional heterogeneity. The Augmented Mean Group and Dumitrescu and Hurlin panel causality tests were also employed in this study. The empirical result revealed valida-tion of the pollution Halo Hypothesis, foreign direct investment and ecological footprints have a negative correlation. GDP and its square form an inverted U-shaped curve, which supports the environmental Kuznets Curve hypothesis. When it came to ecological footprints, renewable energy had a negative cor-relation, whereas energy structure had a positive one. Nonetheless, GDP and ecological footprints have a bidirectional causal relationship. Furthermore, the panel non-causality test revealed a bidirectional causality relationship between ecological footprints and GDP, but a unidirectional causality relationship is discovered from foreign direct investment, renewable energy, energy structure and human capital with ecological footprint. According to the findings of the research, a number of policy recommendations for the analysed bloc are provided, including the implementation of resource conservation as well as the establishment of sustainable energy policies.(c) 2023 International Association for Gondwana Research. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:136 / 148
页数:13
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