TY - JOUR
T1 - Understanding the impact of environmental regulations on green technology innovation efficiency in the construction industry
AU - Zhang, Jingxiao
AU - Ouyang, You
AU - Ballesteros-Pérez, Pablo
AU - Li, Hui
AU - Philbin, Simon P.
AU - Li, Zhaoling
AU - Skitmore, Martin
N1 - Funding Information:
This research is supported by the National Natural Science Foundation of China (No. 71301013?); National Social Science Fund projects (No. 20BJY010); National Social Science Fund Post-financing projects (No. 19FJYB017); Humanity and Social Science Program Foundation of the Ministry of Education of China (No. 17YJA790091); Sichuan-tibet Railway Major Fundamental Science Problems Special Fund (No. 71942006); Qinghai Natural Science Foundation (No. 2020-JY-736); List of Key Science and Technology Projects in China's Transportation Industry in 2018-International Science and Technology Cooperation Project (No. 2018-GH-006 and No. 2019-MS5-100); Emerging Engineering Education Research and Practice Project of Ministry of Education of China (No. E-GKRWJC20202914); Shaanxi Social Science Fund (No. 2017S004); Shaanxi Province Social Sciences Major Theoretical and Practical Research Fund (No. 2019Z191); Xi'an Construction Science and Technology Planning Project (No. SZJJ201915 and No. SZJJ201916); Xi'an Science Technology Bureau Fund (No. 201805070?RK1SF4(6)); Shaanxi Universities Second Batch of Youth Outstanding Talents Support Projects (No. [2018]111); Shaanxi Province Higher Education Teaching Reform Project (No. 19BZ016); Education Funding of Master of Engineering Management in China (No. 2017-ZX-004); Special Fund for Graduate Student Education Reform of Central College, Chang'an University (No. 300103190413?, No. 300103102352 ?and No. 300103190943?); Fundamental Research for Education Reform of Central College, Chang'an University (No. 300104292305?, No. 300104292304 and No. 300104292308?); Fundamental Research for Funds for the Central Universities (Humanities and Social Sciences), Chang'an University (No. 300102230612?, No. 300102239616? and No. 300102230503?); Fundamental Research for Funds for the Central Universities, Chang'an University (No. 300102238201?). The third author also acknowledges the Spanish Ministries of Science, Innovation and Universities for his Ramon y Cajal contract (RYC-2017-22222) co-funded by the European Social Fund.
Funding Information:
This research is supported by the National Natural Science Foundation of China (No. 71301013 ); National Social Science Fund projects (No. 20BJY010 ); National Social Science Fund Post-financing projects (No. 19FJYB017 ); Humanity and Social Science Program Foundation of the Ministry of Education of China (No. 17YJA790091 ); Sichuan-tibet Railway Major Fundamental Science Problems Special Fund (No. 71942006 ); Qinghai Natural Science Foundation (No. 2020-JY-736 ); List of Key Science and Technology Projects in China’s Transportation Industry in 2018-International Science and Technology Cooperation Project (No. 2018-GH-006 and No. 2019-MS5-100 ); Emerging Engineering Education Research and Practice Project of Ministry of Education of China (No. E-GKRWJC20202914 ); Shaanxi Social Science Fund (No. 2017S004 ); Shaanxi Province Social Sciences Major Theoretical and Practical Research Fund (No. 2019Z191 ); Xi’an Construction Science and Technology Planning Project (No. SZJJ201915 and No. SZJJ201916 ); Xi’an Science Technology Bureau Fund (No. 201805070RK1SF4(6) ); Shaanxi Universities Second Batch of Youth Outstanding Talents Support Projects (No. [2018]111 ); Shaanxi Province Higher Education Teaching Reform Project (No. 19BZ016 ); Education Funding of Master of Engineering Management in China (No. 2017-ZX-004 ); Special Fund for Graduate Student Education Reform of Central College, Chang’an University (No. 300103190413 , No. 300103102352 and No. 300103190943 ); Fundamental Research for Education Reform of Central College , Chang’an University (No. 300104292305 , No. 300104292304 and No. 300104292308 ); Fundamental Research for Funds for the Central Universities (Humanities and Social Sciences) , Chang’an University (No. 300102230612 , No. 300102239616 and No. 300102230503 ); Fundamental Research for Funds for the Central Universities, Chang’an University (No. 300102238201 ).
Funding Information:
The third author also acknowledges the Spanish Ministries of Science, Innovation and Universities for his Ramon 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 - 2021/2
Y1 - 2021/2
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85097912299
U2 - 10.1016/j.scs.2020.102647
DO - 10.1016/j.scs.2020.102647
M3 - Article
AN - SCOPUS:85097912299
SN - 2210-6707
VL - 65
JO - Sustainable Cities and Society
JF - Sustainable Cities and Society
M1 - 102647
ER -
SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure