TY - JOUR
T1 - The impact of environmental regulations on urban Green innovation efficiency: The case of Xi'an
AU - Zhang, Jingxiao
AU - Kang, Le
AU - Li, Hui
AU - Ballesteros-Pérez, Pablo
AU - Skitmore, Martin
AU - Zuo, Jian
N1 - Funding Information:
This work was supported by the Xi'an Social Sciences Fund [No. 17J169]; the Xi'an Social Science Fund [No. 18J139]; the Project of Xi'an Science and Technology Bureau [No. 20180507ORK1SF4-6]. The fourth author acknowledges the Spanish Ministry of Science, Innovation and Universities for his Ram?n y Cajal contract [RYC-2017-22222] co-funded by the European Social Fund.
Funding Information:
This work was supported by the Xi'an Social Sciences Fund [No. 17J169 ]; the Xi’an Social Science Fund [No. 18J139 ]; the Project of Xi'an Science and Technology Bureau [No. 20180507ORK1SF4-6 ]. The fourth author acknowledges the Spanish Ministry of Science, Innovation and Universities for his Ramón y Cajal contract [RYC-2017-22222] co-funded by the European Social Fund .
Publisher Copyright:
© 2020 Elsevier Ltd
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/6
Y1 - 2020/6
N2 - While balancing economic progress and environmental pollution, environmental regulation plays a vital role conditioning green innovation. However, most research focuses on the effect of such regulations at the industry- or regional-level, lacking city-level analysis. Using the city of Xi'an (China) as a case study, environmental regulations and their effect on urban green innovation are analysed. First, using a slacks-based measure of directional distance functions (SBM-DDF) model we measure the green innovation efficiency of Xi'an from 2003 to 2016. Regression analysis is then used to explore the green innovation effect under the implementation of three environmental regulations, including command-and-control, market-based, and voluntary. Results indicate that market-based and voluntary regulations are more efficient at stimulating green innovation than command-and-control environmental regulations. The environmental regulations and green innovation efficiency also have non-linear inverted U-shape relationships. The findings will help policy makers to design more effective environmental regulations.
AB - While balancing economic progress and environmental pollution, environmental regulation plays a vital role conditioning green innovation. However, most research focuses on the effect of such regulations at the industry- or regional-level, lacking city-level analysis. Using the city of Xi'an (China) as a case study, environmental regulations and their effect on urban green innovation are analysed. First, using a slacks-based measure of directional distance functions (SBM-DDF) model we measure the green innovation efficiency of Xi'an from 2003 to 2016. Regression analysis is then used to explore the green innovation effect under the implementation of three environmental regulations, including command-and-control, market-based, and voluntary. Results indicate that market-based and voluntary regulations are more efficient at stimulating green innovation than command-and-control environmental regulations. The environmental regulations and green innovation efficiency also have non-linear inverted U-shape relationships. The findings will help policy makers to design more effective environmental regulations.
UR - http://www.scopus.com/inward/record.url?scp=85081136941&partnerID=8YFLogxK
U2 - 10.1016/j.scs.2020.102123
DO - 10.1016/j.scs.2020.102123
M3 - Article
AN - SCOPUS:85081136941
SN - 2210-6707
VL - 57
JO - Sustainable Cities and Society
JF - Sustainable Cities and Society
M1 - 102123
ER -
