Role of income in pollution and growth across Belt and Road Initiative countries: new insights from dynamic functional regression model

被引：0

作者：

Hael, Mohanned Abduljabbar ^{[1
,2
]}

Ma, Haiqiang ^{[1
]}

Al-Selwi, Fahmi ^{[2
]}

Mohammed, Mushref ^{[3
,4
]}

Myint, Khin Sandi ^{[1
]}

Al-Kuhali, Hamas A. ^{[5
]}

机构：

[1] Jiangxi Univ Finance & Econ, Sch Stat & Data Sci, Nanchang 330013, Peoples R China

[2] Taiz Univ, Dept Data Sci & Informat Technol, Taizi, Yemen

[3] Hohai Univ, Business Sch, Nanjing, Peoples R China

[4] Taiz Univ, Coll Adm Sci, Taizi, Yemen

[5] Wuhan Univ Technol, Sch Comp & Artificial Intelligence, Wuhan 430070, Peoples R China

来源：

INTERNATIONAL JOURNAL OF GLOBAL WARMING | 2024年 / 33卷 / 04期

关键词：

function-on-scalar regression; FOSR; penalised least square estimator; dynamic modelling; economic growth; carbon emissions; income level; Belt and Road Initiative; BRI; INEQUALITY;

D O I：

10.1504/IJGW.2024.139903

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 employed function-on-scalar regression (FOSR) to model the complex nexus and spatial-temporal dynamic impact of income distribution on carbon dioxide emissions (CO2) and economic growth (EG) for 80 Belt and Road Initiative (BRI) countries (1990-2021). Results discovered a robust positive nexus between income, CO2, and EG across the spatial-temporal BRI domain. Increased income levels are associated with heightened EG, subsequently driving higher CO2. Decreased income levels were linked to reduced EG and a corresponding decline in CO2 intensity. Accordingly, we suggested policy implications to guide BRI towards a balanced and sustainable development pattern.

引用

页码：315 / 329

页数：16

共 38 条

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