Nexus between green technology innovation, green financing, and CO2 emissions in the G7 countries: The moderating role of social globalisation

Nexus(标准) 全球化 业务 经济 工程类 市场经济 嵌入式系统
作者
Arshian Sharif,Najia Saqib,Kangyin Dong,Syed Abdul Rehman Khan
出处
期刊:Sustainable Development [Wiley]
卷期号:30 (6): 1934-1946 被引量:239
标识
DOI:10.1002/sd.2360
摘要

Policymakers face a daunting task when it comes to achieving sustainable environmental development and avoiding additional environmental degradation. This study examines the significance of green technology innovation and green financing in creating a more sustainable environment. The impact of green technology innovation and green investment on carbon dioxide (CO2) emissions has yet to be empirically and theoretically examined in the literature, especially in conjunction with a moderating component, particularly social globalisation. Accordingly, this research examines the role of green technological innovation and green financing in reducing CO2 emissions in the G7 countries. Our study uses empirical research data from a panel of the G7 countries covering the period 1995 to 2019. We employ advanced panel approaches to address panel data analysis concerns, such as cross-sectional dependence, structural break, and slope heterogeneity (the Banerjee and Carrion-i-Silvestre unit root and cointegration test and cross-sectional augmented ARDL). This study shows that green technology innovation (GINV) as well as green financing (GFIN) have a negative but significant impact on CO2 emissions. Whilst economic growth has shown a positive and significant impact on CO2 emissions in the G7 countries, social globalisation positively moderates the relationship between CO2 emissions and GDP, but negatively and significantly causes GFIN and GINV with CO2 emissions amongst the G7 countries. According to our study, countries would be able to meet the United Nations' SDG-7 and SDG-13 targets if they implemented green financing and green technology policies.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
芽芽完成签到 ,获得积分10
刚刚
hairgod完成签到,获得积分10
1秒前
简一完成签到 ,获得积分10
1秒前
难过板栗给Woodward的求助进行了留言
1秒前
遇见飞儿完成签到,获得积分10
1秒前
Bruce完成签到 ,获得积分10
2秒前
沉默的凝荷完成签到,获得积分10
2秒前
2秒前
cheng完成签到,获得积分10
3秒前
有魅力的半蕾完成签到,获得积分10
3秒前
Laisy完成签到,获得积分10
3秒前
丫丫完成签到,获得积分10
3秒前
4秒前
Remote完成签到,获得积分10
4秒前
5秒前
5秒前
syangZ完成签到,获得积分10
6秒前
6秒前
大雪完成签到 ,获得积分10
7秒前
AteeqBaloch完成签到,获得积分10
8秒前
8秒前
9秒前
clean完成签到,获得积分10
9秒前
QIQI发布了新的文献求助10
9秒前
Kelsey完成签到 ,获得积分10
9秒前
季风气候完成签到 ,获得积分10
10秒前
10秒前
yuan完成签到,获得积分10
10秒前
闪闪柔发布了新的文献求助10
10秒前
10秒前
文静醉易完成签到,获得积分10
11秒前
甜甜友容完成签到,获得积分10
12秒前
111111完成签到,获得积分10
12秒前
DD完成签到,获得积分10
12秒前
13秒前
宋江他大表哥完成签到,获得积分10
13秒前
syangZ完成签到,获得积分10
13秒前
13秒前
孟子豪完成签到,获得积分10
13秒前
花影完成签到 ,获得积分10
13秒前
高分求助中
Handbook of Diagnosis and Treatment of DSM-5-TR Personality Disorders 800
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
建筑材料检测与应用 370
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3830625
求助须知:如何正确求助?哪些是违规求助? 3372936
关于积分的说明 10476177
捐赠科研通 3092895
什么是DOI,文献DOI怎么找? 1702300
邀请新用户注册赠送积分活动 818920
科研通“疑难数据库(出版商)”最低求助积分说明 771153