Evaluation Research of Green Innovation Efficiency in China’s Heavy Polluting Industries

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F20%3A63523785" target="_blank" >RIV/70883521:28120/20:63523785 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2071-1050/12/1/146" target="_blank" >https://www.mdpi.com/2071-1050/12/1/146</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/su12010146" target="_blank" >10.3390/su12010146</a>

Result language

angličtina

Original language name

Evaluation Research of Green Innovation Efficiency in China’s Heavy Polluting Industries

Original language description

Recently, green innovation eciency, which considers innovation and environmental factors, is gradually becoming important for the sustainable development of Chinese heavy polluting industries because of the increasing strictness in China’s environmental regulations. Previous studies ignore the impact of external environmental factors on the eciency of green industry innovation and fail to explain the complex relationship between environmental and technical eciency fully. Therefore, a non-radial directional distance function-data envelopment analysis (DDF-DEA) three-stage green innovation eciency evaluation model was constructed to measure the green innovation eciency of China’s heavy polluting industries objectively and explore the impact mechanism of external factors. Then, the aforementioned model was used to conduct an empirical test on China’s heavy polluting industries. Results indicate that the green innovation eciency of heavy polluting industries is generally low in China, and the entire industry is in the transitional stage of “e ective innovation but not green.” The uncertainty of the e ect of the environmental regulation policy, the over-reliance on external technologies, and the scale diseconomies of industries, which are the key factors in improving the green innovation eciency of China’s heavy polluting industries, have a significant negative impact on green innovation eciency. The conclusions of this study can provide a useful reference for China and other emerging markets to formulate reasonable environmental regulations and green transition of heavy polluting industries.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50204 - Business and management

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Sustainability

ISSN

2071-1050

e-ISSN

—

Volume of the periodical

12

Issue of the periodical within the volume

1

Country of publishing house

CH - SWITZERLAND

Number of pages

21

Pages from-to

1-21

UT code for WoS article

000521955600146

EID of the result in the Scopus database

2-s2.0-85079587710