Journal
SUSTAINABLE CITIES AND SOCIETY
Volume 57, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scs.2020.102123
Keywords
Environmental regulation; Urban green innovation efficiency; SBM-DDF model; Undesirable output; Regression analysis
Categories
Funding
- Xi'an Social Sciences Fund [17J169]
- Xi'an Social Science Fund [18J139]
- Project of Xi'an Science and Technology Bureau [20180507ORK1SF4-6]
- Spanish Ministry of Science, Innovation and Universities for his Ramon y Cajal [RYC-2017-22222]
- European Social Fund
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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.
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