How do technological innovation and digital infrastructure affect material footprint? the inverted U-shaped effect in resource-rich economies DOI Creative Commons
S.C. Li, Dinkneh Gebre Borojo

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Апрель 28, 2025

Introduction Efficient management of natural resources is a fundamental goal the SDGs, aimed at supporting responsible production and consumption practices. Technological innovation (TI) digital infrastructure (DI) serve as crucial tools that influence effective resource management. However, limited focus has been directed toward assessing non-linear relationships between material footprint (MFP), TI, DI. This research seeks to provide fresh perspectives on TI DI MFP, utilising data from resource-rich economies (RE) spanning 1990 2021. Methods Given characteristics data, we employ pooled mean group-autoregressive distributed lag (PMG/ARDL) model. Furthermore, for sensitivity analysis, apply instrumental variables (IV) methods moments quantile regression (MMQR) techniques address distributional heterogeneity endogeneity issues. The investigation repeated while accounting green (GI) examine effects environmentally-associated MFP. Results discussion findings reveal coefficients level squared terms are positive negative in long run, respectively. Therefore, exhibit suggesting an inverted U-shaped link DI, MFP over term. Thus, contribute curse up threshold values 2.827 2.081, after which they enhance efficiency RE, implying greater investment yields better outcomes harnessing than lesser investment. Lastly, both small large changes GI have robust impact These carry significant policy implications enhancing fostering per SDGs 8 12, thus ensuring efficient sustainable use resources.

Язык: Английский

How do technological innovation and digital infrastructure affect material footprint? the inverted U-shaped effect in resource-rich economies DOI Creative Commons
S.C. Li, Dinkneh Gebre Borojo

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Апрель 28, 2025

Introduction Efficient management of natural resources is a fundamental goal the SDGs, aimed at supporting responsible production and consumption practices. Technological innovation (TI) digital infrastructure (DI) serve as crucial tools that influence effective resource management. However, limited focus has been directed toward assessing non-linear relationships between material footprint (MFP), TI, DI. This research seeks to provide fresh perspectives on TI DI MFP, utilising data from resource-rich economies (RE) spanning 1990 2021. Methods Given characteristics data, we employ pooled mean group-autoregressive distributed lag (PMG/ARDL) model. Furthermore, for sensitivity analysis, apply instrumental variables (IV) methods moments quantile regression (MMQR) techniques address distributional heterogeneity endogeneity issues. The investigation repeated while accounting green (GI) examine effects environmentally-associated MFP. Results discussion findings reveal coefficients level squared terms are positive negative in long run, respectively. Therefore, exhibit suggesting an inverted U-shaped link DI, MFP over term. Thus, contribute curse up threshold values 2.827 2.081, after which they enhance efficiency RE, implying greater investment yields better outcomes harnessing than lesser investment. Lastly, both small large changes GI have robust impact These carry significant policy implications enhancing fostering per SDGs 8 12, thus ensuring efficient sustainable use resources.

Язык: Английский

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