Journal
SUSTAINABLE CITIES AND SOCIETY
Volume 65, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scs.2020.102647
Keywords
Green technology innovation; Environment regulations; Sustainable development; Network DEA model; Tobit regression model
Categories
Funding
- National Natural Science Foundation of China [71301013]
- National Social Science Fund projects [20BJY010]
- National Social Science Fund Post-financing projects [19FJYB017]
- Humanity and Social Science Program Foundation of the Ministry of Education of China [17YJA790091]
- Sichuan-tibet Railway Major Fundamental Science Problems Special Fund [71942006]
- Qinghai Natural Science Foundation [2020-JY-736]
- List of Key Science and Technology Projects in China's Transportation Industry in 2018-International Science and Technology Cooperation Project [2018-GH-006, 2019-MS5-100]
- Emerging Engineering Education Research and Practice Project of Ministry of Education of China [E-GKRWJC20202914]
- Shaanxi Social Science Fund [2017S004]
- Shaanxi Province Social Sciences Major Theoretical and Practical Research Fund [2019Z191]
- Xi'an Construction Science and Technology Planning Project [SZJJ201915, SZJJ201916]
- Xi'an Science Technology Bureau Fund [201805070RK1SF4(6)]
- Shaanxi Universities Second Batch of Youth Outstanding Talents Support Projects [[2018]111]
- Shaanxi Province Higher Education Teaching Reform Project [19BZ016]
- Education Funding of Master of Engineering Management in China [2017-ZX-004]
- Special Fund for Graduate Student Education Reform of Central College, Chang'an University [300103190413, 300103102352, 300103190943]
- Fundamental Research for Education Reform of Central College, Chang'an University [300104292305, 300104292304, 300104292308]
- Fundamental Research for Funds for the Central Universities (Humanities and Social Sciences), Chang'an University [300102230612, 300102239616, 300102230503]
- Fundamental Research for Funds for the Central Universities, Chang'an University [300102238201]
- Spanish Ministries of Science, Innovation and Universities - European Social Fund [RYC2017-22222]
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This study finds a significant disconnection between R&D and commercial application stages in the construction industry, where a large amount of R&D investment does not yield expected results. Different types of environmental regulations have varying impacts on green technology innovation efficiency, but their intended outcomes can only be achieved through a suitable combination.
In the current environmentally constrained context, deploying effective environmental regulations (ERs) to promote greener technologies is necessary. Green technology innovation efficiency (GTIE) reflects the efficiency of an industry's use of resources in the green technology innovation process. However, previous research has considered innovation as a black box regarding the potential contribution and diversity of ERs. In order to analyze the differential impacts of ERs on GTIE, this study classifies ERs into command-and-control, market based and voluntary. By adopting China's 2000-2017 construction industry as a case study, this study analyzes GTIE evolution based on a network Epsilon Based Measure (EBM) model and analyze the impacts of ERs by Tobit Regression. Findings suggest that: (1) There is a significant disconnection between the Research & Development (R&D) and commercial application stages of green technology in construction industry. The construction industry is able to turn most R&D achievements into profits at the commercialization stage, but a large amount of R&D investment does not produce R&D achievements. (2) Different types of ERs have different impacts on GTIE, but their intended outcomes can only be achieved by a suitable combination of them.
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