{"title":"推进七国集团的环境可持续性:使用面板ARDL方法研究数字经济、技术创新和金融可得性的影响","authors":"Asif Raihan , Shewly Bala , Afsana Akther , Mohammad Ridwan , Md. Eleais , Prattoy Chakma","doi":"10.1016/j.ject.2024.06.001","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines the impact of the digital economy, technological innovation, financial accessibility, and urbanization on CO<sub>2</sub> emissions in the G-7 region from 1990 to 2019. The analysis employed Cross-Sectional Dependence (CSD) and Slope Homogeneity tests, revealing the presence of CSD issues and heterogeneous slope coefficients. First- and second-generation panel unit root tests indicated no unit root problem within the dataset, with variables showing mixed integration orders. Panel cointegration tests confirmed that the variables are cointegrated over the long run. To assess the short-run and long-run impacts of the explanatory variables on CO<sub>2</sub> emissions, the study utilized the Panel Autoregressive Distributed Lag (ARDL) model. The findings indicate that the digital economy significantly reduces CO<sub>2</sub> emissions, while economic growth, technological innovation, financial accessibility, and urbanization increase CO<sub>2</sub> emissions in the G-7 region. The robustness of the Panel ARDL results was validated using Driscoll-Kraay standard errors, Augmented Mean Group (AMG), and Common Correlated Effects Mean Group (CCEMG) estimations. Additionally, the Dumitrescu-Hurlin causality test revealed a unidirectional causal relationship between the digital economy and CO<sub>2</sub> emissions, GDP and CO<sub>2</sub> emissions, and CO<sub>2</sub> emissions and technological innovation. Furthermore, bidirectional causality was found between financial accessibility and CO<sub>2</sub> emissions, as well as between urbanization and CO<sub>2</sub> emissions. These findings provide comprehensive insights into the dynamic interactions between economic, technological, and environmental variables in the G-7 region, highlighting the complexity of achieving sustainable development.</div></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"4 ","pages":"Pages 188-205"},"PeriodicalIF":0.0000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing environmental sustainability in the G-7: The impact of the digital economy, technological innovation, and financial accessibility using panel ARDL approach\",\"authors\":\"Asif Raihan , Shewly Bala , Afsana Akther , Mohammad Ridwan , Md. 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The findings indicate that the digital economy significantly reduces CO<sub>2</sub> emissions, while economic growth, technological innovation, financial accessibility, and urbanization increase CO<sub>2</sub> emissions in the G-7 region. The robustness of the Panel ARDL results was validated using Driscoll-Kraay standard errors, Augmented Mean Group (AMG), and Common Correlated Effects Mean Group (CCEMG) estimations. Additionally, the Dumitrescu-Hurlin causality test revealed a unidirectional causal relationship between the digital economy and CO<sub>2</sub> emissions, GDP and CO<sub>2</sub> emissions, and CO<sub>2</sub> emissions and technological innovation. Furthermore, bidirectional causality was found between financial accessibility and CO<sub>2</sub> emissions, as well as between urbanization and CO<sub>2</sub> emissions. 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引用次数: 0
摘要
本研究考察了1990年至2019年数字经济、技术创新、金融可及性和城市化对七国集团地区二氧化碳排放的影响。分析采用截面相关性(CSD)和坡度均匀性检验,揭示了CSD问题和非均质坡度系数的存在。第一代和第二代面板单位根测试表明,数据集中没有单位根问题,变量显示混合的积分顺序。面板协整检验证实,从长期来看,变量是协整的。为了评估解释变量对CO2排放的短期和长期影响,本研究采用面板自回归分布滞后(ARDL)模型。研究结果表明,数字经济显著降低了七国集团地区的二氧化碳排放量,而经济增长、技术创新、金融可及性和城市化则增加了七国集团地区的二氧化碳排放量。使用Driscoll-Kraay标准误差、增强平均组(Augmented Mean Group, AMG)和共同相关效应平均组(Common correlation Effects Mean Group, CCEMG)估计验证Panel ARDL结果的稳健性。此外,dumitrescuo - hurlin因果检验揭示了数字经济与二氧化碳排放、GDP与二氧化碳排放、二氧化碳排放与技术创新之间的单向因果关系。此外,金融可及性与CO2排放、城市化与CO2排放之间存在双向因果关系。这些发现对七国集团地区经济、技术和环境变量之间的动态相互作用提供了全面的见解,突出了实现可持续发展的复杂性。
Advancing environmental sustainability in the G-7: The impact of the digital economy, technological innovation, and financial accessibility using panel ARDL approach
This study examines the impact of the digital economy, technological innovation, financial accessibility, and urbanization on CO2 emissions in the G-7 region from 1990 to 2019. The analysis employed Cross-Sectional Dependence (CSD) and Slope Homogeneity tests, revealing the presence of CSD issues and heterogeneous slope coefficients. First- and second-generation panel unit root tests indicated no unit root problem within the dataset, with variables showing mixed integration orders. Panel cointegration tests confirmed that the variables are cointegrated over the long run. To assess the short-run and long-run impacts of the explanatory variables on CO2 emissions, the study utilized the Panel Autoregressive Distributed Lag (ARDL) model. The findings indicate that the digital economy significantly reduces CO2 emissions, while economic growth, technological innovation, financial accessibility, and urbanization increase CO2 emissions in the G-7 region. The robustness of the Panel ARDL results was validated using Driscoll-Kraay standard errors, Augmented Mean Group (AMG), and Common Correlated Effects Mean Group (CCEMG) estimations. Additionally, the Dumitrescu-Hurlin causality test revealed a unidirectional causal relationship between the digital economy and CO2 emissions, GDP and CO2 emissions, and CO2 emissions and technological innovation. Furthermore, bidirectional causality was found between financial accessibility and CO2 emissions, as well as between urbanization and CO2 emissions. These findings provide comprehensive insights into the dynamic interactions between economic, technological, and environmental variables in the G-7 region, highlighting the complexity of achieving sustainable development.