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A three-dimensional evaluation model for green development: evidence from Chinese provinces along the belt and road.
Li, Sujuan; Liu, Jiaguo; Hu, Xiyuan.
Afiliação
  • Li S; School of Maritime Economics and Management, Dalian Maritime University, 211 Management Building, 1 Linghai Road, Dalian, 116026 Liaoning China.
  • Liu J; School of Maritime Economics and Management, Dalian Maritime University, 211 Management Building, 1 Linghai Road, Dalian, 116026 Liaoning China.
  • Hu X; Institute of Science, Ministry of Transport, Beijing, 100020 China.
Environ Dev Sustain ; : 1-25, 2022 Jul 10.
Article em En | MEDLINE | ID: mdl-35846738
ABSTRACT
The establishment of the green belt and road is an inevitable choice to conform to and lead the green and low-carbon cycle development and an inherent requirement for sustainable development. Therefore, we establish an evaluation system of green development oriented to carbon neutrality, and calculate the green development level (GDL) of the provinces along the belt and road in China from 2003 to 2018 by using a three-dimensional evaluation model. In addition, this paper employs the Obstacle Degree Model to identify the main obstacle factors that affect GDL, and provides targeted and differentiated countermeasures and suggestions for improving the regional GDL. Our results suggested that the overall GDL has improved, but not obvious, with a low level. The GDL and coordination degree between different regions exist certain differences, and its spatial pattern is characterized by "high in southeast and northeast, low in southwest and northwest". From a regional perspective, innovation capacity is the key factor that affects the green development of the region in southeast, northeast, northwest and southwest China. Driving economic green transformation and promoting industrial energy conservation and emission reduction through technological innovation are the internal driving forces to achieve regional green sustainable development.
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Dev Sustain Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Dev Sustain Ano de publicação: 2022 Tipo de documento: Article