Is supply chain digitization a supportive instrument for green energy resilience? A heterogeneity factors analysis for OECD economies under environmental sustainability

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F25%3A105997" target="_blank" >RIV/60460709:41110/25:105997 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.enconman.2024.119384" target="_blank" >https://doi.org/10.1016/j.enconman.2024.119384</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.enconman.2024.119384" target="_blank" >10.1016/j.enconman.2024.119384</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Is supply chain digitization a supportive instrument for green energy resilience? A heterogeneity factors analysis for OECD economies under environmental sustainability

Popis výsledku v původním jazyce

Since the Industrial Revolution, the globe has witnessed several challenges, and environmental degradation (ED) has become prominent. Thus, to deal with such environmental issues, the world has introduced several initiatives, including the Kyoto Protocol, the Paris Agreement, and the Sustainable Development Goals (SDGs). In such environmental conditions, energy resilience (ER) is performing well in boosting the energy supply, energy transition, and sustainable growth. Conversely, it also needs help with the optimum utilization of green energy in human and economic activities. Therefore, this study focuses on the green role of supply chain digitization via Artificial Intelligence (AI) in energy transition that may bring a new perspective to energy-environment research. As a result, the present study covers income, urbanization, artificial Intelligence, energy transition, financial development, and green innovations as environmental factors in 32 OECD economies covering the period of 2005-2022. The Quantile Generalized Method of Moment (Q-GMM) estimator is utilized to investigate the study's objectives. Investigated results describe the significant contribution of income, urbanization, green technology, and financial development to ED. In contrast, energy transition and AI support the sustainability theme. Besides, most nations have faced numerous problems regarding ER and have tried to solve this issue by helping other sectors. This study introduces the mediating role of energy transition via green technology, AI, and heterogeneous financial sector measures and obtains exciting connections. Under this theme, green technology, AI, and financial loans to the private sector describe a significant decline in emissions via energy transition. Conversely, the mediating role of bank loans and financial depth on energy transition shows a negative but insignificant impact on sustainability. Moreover, the mediating role for financial efficiency and stability describes the positive but insignificant effect on emissions levels. However, under the comparative analysis, the financial sector shows a positive and significant connection with emissions by loans to the private sector and financial depth. Few policy implications are suggested for environmental and ER challenges.

Název v anglickém jazyce

Is supply chain digitization a supportive instrument for green energy resilience? A heterogeneity factors analysis for OECD economies under environmental sustainability

Popis výsledku anglicky

Since the Industrial Revolution, the globe has witnessed several challenges, and environmental degradation (ED) has become prominent. Thus, to deal with such environmental issues, the world has introduced several initiatives, including the Kyoto Protocol, the Paris Agreement, and the Sustainable Development Goals (SDGs). In such environmental conditions, energy resilience (ER) is performing well in boosting the energy supply, energy transition, and sustainable growth. Conversely, it also needs help with the optimum utilization of green energy in human and economic activities. Therefore, this study focuses on the green role of supply chain digitization via Artificial Intelligence (AI) in energy transition that may bring a new perspective to energy-environment research. As a result, the present study covers income, urbanization, artificial Intelligence, energy transition, financial development, and green innovations as environmental factors in 32 OECD economies covering the period of 2005-2022. The Quantile Generalized Method of Moment (Q-GMM) estimator is utilized to investigate the study's objectives. Investigated results describe the significant contribution of income, urbanization, green technology, and financial development to ED. In contrast, energy transition and AI support the sustainability theme. Besides, most nations have faced numerous problems regarding ER and have tried to solve this issue by helping other sectors. This study introduces the mediating role of energy transition via green technology, AI, and heterogeneous financial sector measures and obtains exciting connections. Under this theme, green technology, AI, and financial loans to the private sector describe a significant decline in emissions via energy transition. Conversely, the mediating role of bank loans and financial depth on energy transition shows a negative but insignificant impact on sustainability. Moreover, the mediating role for financial efficiency and stability describes the positive but insignificant effect on emissions levels. However, under the comparative analysis, the financial sector shows a positive and significant connection with emissions by loans to the private sector and financial depth. Few policy implications are suggested for environmental and ER challenges.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50201 - Economic Theory

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

ENERGY CONVERSION AND MANAGEMENT

ISSN

0196-8904

e-ISSN

0196-8904

Svazek periodika

325

Číslo periodika v rámci svazku

FEB 1 2025

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

28

Strana od-do

—

Kód UT WoS článku

001386163000001

EID výsledku v databázi Scopus

2-s2.0-85211635796