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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Sustainability

ISSN

2071-1050

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

21

Strana od-do

1-21

Kód UT WoS článku

000521955600146

EID výsledku v databázi Scopus

2-s2.0-85079587710