There is a newer version of the record available.

Published July 2020 | Version v1
Journal article

The spatial-temporal variation and convergence of green innovation efficiency in the Yangtze River Economic Belt in China

  • 1. China University of Geosciences. School of Economics and Management (China)

Description

The improvement of green innovation efficiency (GIE) in the Yangtze river economic belt (YREB) is beneficial to China's green transformation and upgrading because of its economic and ecological position. Therefore, based on the slacks-based measure of super-efficiency (Super-SBM) model, the paper studies the GIE and its spatial-temporal variation characteristics in the YREB during the period 2003–2015, and analyzes the spatial correlation and spatial-temporal convergence of GIE with the exploratory spatial data analysis (ESDA) method and convergence analysis method. The results show that the GIE in the YREB shows an "U-shaped" change pattern in time and an extremely unbalanced development pattern in space. The areas with high GIE contribute to the improvement of overall GIE, whereas they do not exert a radiation and driving effect on areas with low GIE. Accordingly, because of the short board effect, the convergent speed of the GIE is decreasing. To be specific, the GIE keeps converging in the upper and lower reaches, except for the year 2010 when GIE in the middle reaches changed from being convergent to being non-convergent. Even though environmental policy exerts great impacts on the improvement of GIE, the lack of collaborative environmental governance leads to the non-convergent and unbalanced development of the GIE. Therefore, green coordinated development of the YREB is necessary.

Additional details

Identifiers

Publishing Information

Journal Title
Environmental Science and Pollution Research International
Journal Volume
27
Journal Issue
21
Journal Page Range
p. 26868-26881
ISSN
0944-1344
CODEN
ESPLEC

Optional Information

Copyright
Copyright (c) 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020