Literature DB >> 34195943

Does regional planning policy of Yangtze River Delta improve green technology innovation? Evidence from a quasi-natural experiment in China.

Hong Xu1, Lei Qiu1, Baozhen Liu1, Bei Liu2, Hui Wang3, Weifen Lin4.   

Abstract

Green technology innovation is an important way to solve the dilemma of economic growth and environmental protection, while the relevant policies issued by the government have an important impact on the promotion of regional green technology innovation. This paper regards the implementation of the Regional Planning of Yangtze River Delta (RPYRD) as a quasi-natural experiment, using the panel data of 274 cities in China from 2003 to 2016 to explore the green technology innovation effect of regional planning and its transmission mechanisms through the double-fixed effect model and the difference-in-difference (DID) method. The results show that (1) the implementation of the RPYRD promotes regional green technology innovation significantly and the green technology innovation effect of the policy is increasing year by year. (2) There is significant regional heterogeneity in the incentive effect of green technology innovation in regional planning. The policy effect is more obvious in cities with a larger scale, a higher level of human capital and less resource dependence. (3) The regional planning promotes green technological innovation by optimizing industrial structure, reducing FDI and increasing R&D investment.

Entities:  

Keywords:  Difference-in-difference method; Green technology innovation; Regional planning

Year:  2021        PMID: 34195943     DOI: 10.1007/s11356-021-14946-8

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


  1 in total

1.  Spatial and Temporal Evolution Analysis of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt.

Authors:  Mengchao Yao; Jinjun Duan; Qingsong Wang
Journal:  Int J Environ Res Public Health       Date:  2022-05-24       Impact factor: 4.614

  1 in total

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