Abstract
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.
| Original language | English |
|---|---|
| Article number | 102647 |
| Journal | Sustainable Cities and Society |
| Volume | 65 |
| Early online date | 7 Dec 2020 |
| DOIs | |
| Publication status | E-pub ahead of print - 7 Dec 2020 |
Keywords
- Green technology innovation
- Environment regulations
- sustainable development
- Network DEA model
- Tobit regression model
- Civil engineering