PMID- 32833175
OWN - NLM
STAT- MEDLINE
DCOM- 20210106
LR  - 20221207
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
VI  - 28
IP  - 1
DP  - 2021 Jan
TI  - Analyzing the green innovation practices based on sustainability performance 
      indicators: a Chinese manufacturing industry case.
PG  - 1181-1203
LID - 10.1007/s11356-020-10531-7 [doi]
AB  - In the wake of the Paris agreement, the adoption of green innovation practices 
      has received substantial attention throughout the world. The consumers, 
      manufacturers, governments, and communities have started realizing the severity 
      and intensity of environmental hazards and climate change. The manufacturing 
      sector is one of the leading industrial waste producers and contributors to 
      environmental pollution, posing a threat to environmental sustainability. The 
      adoption of green innovation practices in the manufacturing sector is 
      indispensable to ensure environmental sustainability. However, it is pivotal to 
      identify, assess, and evaluate the green innovation aspects and sub-aspects with 
      the perspective of sustainability performance indicators in the manufacturing 
      industry. This study services this purpose and proposes a hybrid multi-criteria 
      decision-making (MCDM) by combining the fuzzy analytical hierarchy process (FAHP) 
      and fuzzy technique for order of preference by similarity to ideal solution 
      (FTOPSIS) to analyze the effects of green innovation aspects with sustainability 
      performance of the manufacturing industry. The authors identify six green 
      innovation aspects (criteria), twenty-four sub-aspects (sub-criteria), and three 
      sustainability performance indicators (alternatives) for the manufacturing 
      industry in China. The FAHP method indicates that green managerial innovation, 
      green product innovation, and green technological innovation are the most 
      influential aspects of implementing green innovation practices. Further, the 
      FTOPSIS technique reveals that environmental performance is the most suitable 
      sustainability performance indicator in adopting green innovation practices in 
      the garment manufacturing industry of China. This research provides support to 
      the managers and policymakers in understanding the green innovation practices in 
      promoting sustainable development in the manufacturing industry.
FAU - Wang, Ying
AU  - Wang Y
AD  - College of Economics and Management, |Nanjing University of Aeronautics and 
      Astronautics, Nanjing, Jiangsu, China.
FAU - Yang, Yun
AU  - Yang Y
AD  - College of Economics and Management, |Nanjing University of Aeronautics and 
      Astronautics, Nanjing, Jiangsu, China. yangyun@nuaa.edu.cn.
AD  - School of Physical and Mathematic Sciences, Nanjing Tech University, Nanjing, 
      Jiangsu, China. yangyun@nuaa.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20200824
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
SB  - IM
MH  - Asian People
MH  - China
MH  - *Commerce
MH  - Humans
MH  - *Manufacturing Industry
MH  - Paris
OTO - NOTNLM
OT  - China
OT  - FAHP
OT  - FTOPSIS
OT  - Green innovation
OT  - Manufacturing industry
OT  - Sustainability performance indicators
EDAT- 2020/08/25 06:00
MHDA- 2021/01/07 06:00
CRDT- 2020/08/25 06:00
PHST- 2020/04/08 00:00 [received]
PHST- 2020/08/13 00:00 [accepted]
PHST- 2020/08/25 06:00 [pubmed]
PHST- 2021/01/07 06:00 [medline]
PHST- 2020/08/25 06:00 [entrez]
AID - 10.1007/s11356-020-10531-7 [pii]
AID - 10.1007/s11356-020-10531-7 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2021 Jan;28(1):1181-1203. doi: 
      10.1007/s11356-020-10531-7. Epub 2020 Aug 24.