Literature DB >> 35513624

Does manufacturing agglomeration promote or hinder green development efficiency? Evidence from Yangtze River Economic Belt, China.

Huaxi Yuan1,2, Longhui Zou3, Yidai Feng4, Lei Huang5.   

Abstract

Sustainable development can be mainly achieved by promoting the green transformation and development of the world economy and by improving the efficiency of regional green development, which often receive extensive attention from the academia. This paper uses a spatial econometric model to estimate the impact of manufacturing agglomeration on green development efficiency based on the panel data of China's Yangtze River Economic Belt (YREB). The results show an overall large gap of green development efficiency between regions in the Yangtze River Economic Zone, mostly due to the extremely uneven development of green development efficiency in the upper reaches. Opposite to the middle and lower reaches, manufacturing agglomeration in the upper reaches of the YREB improves green development efficiency. Manufacturing agglomeration is conducive to the improvement of green development efficiency in adjacent areas. Nonetheless, it may hinder green development efficiency by inhibiting green technological innovation. This paper provides empirical evidence and policy implications for applying manufacturing agglomeration to promote green development efficiency in accordance with local conditions.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Green development efficiency; Instrumental variable; Manufacturing agglomeration; Yangtze River Economic Belt

Year:  2022        PMID: 35513624     DOI: 10.1007/s11356-022-20537-y

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China.

Authors:  Rui Zhang; Yong Ma; Jie Ren
Journal:  Int J Environ Res Public Health       Date:  2022-07-29       Impact factor: 4.614

  1 in total

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