Identifying the Key Drivers in Energy Technology Fields: The Role of Spillovers and Public Policies DOI Open Access
Mehmet Balcılar, Büşra Ağan

Sustainability, Journal Year: 2024, Volume and Issue: 16(20), P. 8875 - 8875

Published: Oct. 14, 2024

This study investigates the salient roles of knowledge spillover and environmental policies on clean technology innovation. Employing a panel vector autoregressive model (PVAR) connectedness network analysis with comprehensive longitudinal dataset comprising 100 million patent documents across 26 countries, identifies fields that are most efficient in driving innovation subsequently quantifies effects for each field. The impact public regulations technological innovations is also examined depth. results reveal complex nuanced system, significant spillovers occurring within energy non-energy-related fields. show significantly influence innovation, support adoption having substantial impact. Furthermore, market-based weaker than non-market-based policies, which an important consideration policymakers. findings hold significance policymakers addressing sustainability goals their implications.

Language: Английский

Human development welfare of renewable energy technology innovation under carbon reduction targets DOI

Yudong Qi,

Jingying Linghu, Haitao Wu

et al.

Technology Analysis and Strategic Management, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: Feb. 3, 2025

Language: Английский

Citations

1
Exploring the enablers for building resilience in solar photovoltaic Energy supply chains DOI Creative Commons
İsmail Erol, İskender Peker, Tolga Benli

et al.

Operations Management Research, Journal Year: 2024, Volume and Issue: unknown

Published: May 21, 2024

Abstract A solar photovoltaic energy supply chain (SPvESC) is a global network with several linkages, including mineral and metal mining, material processing, module panel manufacturing. Due to the wide range of uncertainties unfavorable environmental effects associated current linear business models, this vulnerable disruptions. Strengthening resilience SPvESCs crucial for addressing any disturbances. This requires identifying key enablers in SPvESCs, an area that has been understudied existing literature. An enabler aspect facilitates achievement goal by another aspect. research contributes literature systematically investigating achieve resilience. Thus, objective analysis identify have potential enhance Türkiye. was done applying Nominal Group Technique (NGT) conjunction review Neutrosophic (N)-DEMATEL then utilized determine relationships between identified enablers. Finally, results were validated using N-DELPHI. The revealed sensing seizing new adaptability changes novel generation information technologies, contingency plans natural man-made disasters most influential findings provide implications practitioners, policymakers, researchers help ensure improved SPvESCs.

Language: Английский

Citations

2
Forecasting Green Technology Diffusion in OECD Economies Through Machine Learning Analysis DOI Creative Commons
Büşra Ağan

Ekonomi Politika ve Finans Arastirmalari Dergisi, Journal Year: 2024, Volume and Issue: 9(3), P. 484 - 502

Published: Sept. 30, 2024

An accelerating global shift towards sustainable development has made the diffusion of green technologies a critical area focus, particularly within OECD economies. This study aims to use machine-learning approach explore future technology across countries. It provides detailed forecasts from 2023 2037, highlighting varying rates (GTD) among different nations. To achieve this, Autoregressive Integrated Moving Average (ARIMA) model is employed offer new evidence on how progress can be predicted. Based empirical data, categorizes countries into high, moderate, and low GTD growth. The findings suggest that Japan, Germany, USA will experience significant growth in GTD, while like Australia, Canada, Mexico see moderate increases. Conversely, some nations, including Ireland Iceland, face challenges with or negative values. concludes applying this valuable insights predictions for policymakers aiming enhance adoption their respective

Language: Английский

Citations

0
Identifying the Key Drivers in Energy Technology Fields: The Role of Spillovers and Public Policies DOI Open Access
Mehmet Balcılar, Büşra Ağan

Sustainability, Journal Year: 2024, Volume and Issue: 16(20), P. 8875 - 8875

Published: Oct. 14, 2024

This study investigates the salient roles of knowledge spillover and environmental policies on clean technology innovation. Employing a panel vector autoregressive model (PVAR) connectedness network analysis with comprehensive longitudinal dataset comprising 100 million patent documents across 26 countries, identifies fields that are most efficient in driving innovation subsequently quantifies effects for each field. The impact public regulations technological innovations is also examined depth. results reveal complex nuanced system, significant spillovers occurring within energy non-energy-related fields. show significantly influence innovation, support adoption having substantial impact. Furthermore, market-based weaker than non-market-based policies, which an important consideration policymakers. findings hold significance policymakers addressing sustainability goals their implications.

Language: Английский

Citations

0