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The Impact of Exogenous Pollution on Green Innovation
by
Wang, Ying
, Liu, Jing-Yue
, Woodward, Richard T.
in
Assets
/ Companies
/ Discontinuity
/ Economic Policy
/ Economics
/ Economics and Finance
/ Environmental Economics
/ Environmental impact
/ Environmental Law/Policy/Ecojustice
/ Environmental Management
/ Environmental quality
/ Heating
/ Innovations
/ Pollution
/ Pollution levels
/ Quasi-experimental methods
/ Regression models
/ Robustness
/ Robustness (mathematics)
2022
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The Impact of Exogenous Pollution on Green Innovation
by
Wang, Ying
, Liu, Jing-Yue
, Woodward, Richard T.
in
Assets
/ Companies
/ Discontinuity
/ Economic Policy
/ Economics
/ Economics and Finance
/ Environmental Economics
/ Environmental impact
/ Environmental Law/Policy/Ecojustice
/ Environmental Management
/ Environmental quality
/ Heating
/ Innovations
/ Pollution
/ Pollution levels
/ Quasi-experimental methods
/ Regression models
/ Robustness
/ Robustness (mathematics)
2022
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Do you wish to request the book?
The Impact of Exogenous Pollution on Green Innovation
by
Wang, Ying
, Liu, Jing-Yue
, Woodward, Richard T.
in
Assets
/ Companies
/ Discontinuity
/ Economic Policy
/ Economics
/ Economics and Finance
/ Environmental Economics
/ Environmental impact
/ Environmental Law/Policy/Ecojustice
/ Environmental Management
/ Environmental quality
/ Heating
/ Innovations
/ Pollution
/ Pollution levels
/ Quasi-experimental methods
/ Regression models
/ Robustness
/ Robustness (mathematics)
2022
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Journal Article
The Impact of Exogenous Pollution on Green Innovation
2022
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Overview
Does environmental quality affect firms’ activities that might improve that quality? In this paper, we use China's public heating policy as a quasi-experiment to investigate the impact of exogenous pollution differences on green innovation behavior. We use a regression discontinuity model, and carry out a suite of robustness tests. We consistently find that firms located in cities with an exogenous source of heavy pollution tend to adopt green innovation at a lower rate while we find no difference in the rate at which they adopt non-green innovation. We find a strong causal effect: being north of the boundary, where pollution levels are higher, leads firms to adopt less green innovation. Firms located in the heating areas report roughly 1 less green innovation per billion RMB of assets, a substantial difference given the average number of green innovations per billion RMB of assets of northern firms is 0.641.
Publisher
Springer Netherlands,Springer Nature B.V
Subject
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