The Spatial Pattern and Influencing Factors of Green Innovation

PENG Wen-bin; WEN Ze-zhou; KUANG Chang-e

Volume 34 Issue 1

May 2021

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Article Navigation > Journal of Guangdong University of Finance & Economics > 2019 > 34(1): 25-37

PENG Wen-bin, WEN Ze-zhou, KUANG Chang-e. The Spatial Pattern and Influencing Factors of Green Innovation[J]. Journal of Guangdong University of Finance & Economics, 2019, 34(1): 25-37.

Citation:

PENG Wen-bin, WEN Ze-zhou, KUANG Chang-e. The Spatial Pattern and Influencing Factors of Green Innovation[J]. Journal of Guangdong University of Finance & Economics, 2019, 34(1): 25-37.

PENG Wen-bin, WEN Ze-zhou, KUANG Chang-e. The Spatial Pattern and Influencing Factors of Green Innovation[J]. Journal of Guangdong University of Finance & Economics, 2019, 34(1): 25-37.

Citation:

PENG Wen-bin, WEN Ze-zhou, KUANG Chang-e. The Spatial Pattern and Influencing Factors of Green Innovation[J]. Journal of Guangdong University of Finance & Economics, 2019, 34(1): 25-37.

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The Spatial Pattern and Influencing Factors of Green Innovation

School of Business, Hunan University of Science and Technology, Xiangtan 411201, China

Received Date: 2018-09-18
Available Online: 2021-05-31
Publish Date: 2019-01-28

Abstract

Abstract

Based on the panel data of 285 cities in China from 2005 to 2016, the SBM-DEA model and the exploratory spatial data analysis (ESDA) method are used to evaluate the green innovation level and its spatial distribution pattern, and the Spatial Durbin Model is employed to explore the main influencing factors in green innovation. The results show that China's urban green innovation shows a slow upward trend, and its distribution represents obvious spatial agglomeration, gradually shaping a "multi-core" agglomeration pattern with urban agglomeration as a regional scope. Green innovation has a cumulative effect, and the previous green innovation results will promote the development of green innovation in the current period. Traffic conditions, education level, and environmental regulations will promote green innovation. The low-level industrial structure will significantly inhibit green innovation, while the expansion of openness will not be conducive to green innovation in the region, but upgrade the level of green innovation in neighboring cities. It is necessary to take different strategy for different city's status quo, strengthen the flow, integration and sharing of green innovation resources among cities to realize the coordinated development of green innovation in Chinese cities.
- green innovation,
- urban green innovation,
- spatial pattern,
- innovation and development,
- Chinese cities

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References(33)

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