Work

Exploring the key influencing factors of low-carbon innovation from urban characteristics in China using interpretable machine learning

Year: 2024

Type: article

Source: Environmental Impact Assessment Review

DOI: 10.1016/j.eiar.2024.107573

Authors: Wentao Wang, Dezhi Li, Shenghua Zhou, Yang Wang, Lugang Yu

Institution: Southeast University

Language: English

Topic: Energy, Environment, Economic Growth

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Climate action, Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4399425548

FWCI: 16.57

Cites: 100

Cited by: 56

Related to: 10