| Literature DB >> 33114610 |
Liang Li1,2,3, Hajar Msaad1, Huaping Sun4, Mei Xuen Tan1, Yeqing Lu5, Antonio K W Lau5.
Abstract
Chinese manufacturing has recently undertaken the responsibility of energy conservation and emission reduction to address climate change. This research analyzes green innovation on business sustainability in the energy-intensive industry in China from the manager perspective, researched data from 229 Chinese managers via structural equation modeling (SEM). The results demonstrated that green innovation had three dimensions: green product innovation, recycling, and green publicity. Business sustainability also had three dimensions: financial performance, environmental performance, and social performance. It also shows that green innovation had a significant effect on business sustainability in energy-intensive industry. More specifically, we found that recycling has more impact on social performance when compared with green publicity. However, green publicity has a large effect on environmental performance; moreover, green product innovation has more impact on financial performance than green publicity. We also found that environmental performance has a positive effect on financial and social performance results. The alternative models were used to examine the second-order factors of green innovation and business sustainability to test the study's robustness and supported our findings. Thus, this study contributes to the field by helping managers to make decisions when dealing with sustainable environmental management. It provides new empirical evidence to support the development of a low-carbon circular economy and realization of a carbon-neutral goal by 2060 in China.Entities:
Keywords: business sustainability; energy intensive industry; green innovation
Mesh:
Year: 2020 PMID: 33114610 PMCID: PMC7663660 DOI: 10.3390/ijerph17217826
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Research model.
Demographic characteristics.
| Measurements | Types | Numbers | Percentage |
|---|---|---|---|
| Gender | Female | 118 | 51.5 |
| Male | 111 | 48.5 | |
| Age | 21s–30s | 72 | 31.5 |
| 31s–40s | 77 | 33.6 | |
| 41s–50s | 80 | 34.9 | |
| Education | Undergraduate degree or under | 135 | 59 |
| Master’s degree or over | 94 | 41 | |
| Work experience | 12–36 months | 97 | 42.4 |
| 37–72 months | 104 | 45.4 | |
| 73 months | 28 | 12.2 | |
| Type of industry | Thermal power plant | 33 | 14.4 |
| Iron and steel | 36 | 15.7 | |
| Building and construction | 27 | 11.8 | |
| Mining or oil energy industry | 25 | 10.9 | |
| Auto industry | 71 | 31.0 | |
| Pharmaceutical and chemical fertilizer industry | 37 | 16.2 |
The results of validity and reliability analysis.
| Latent Variable | Observable Measurements | Standardized Regression Weight | AVE | C.R. | Cronbach’s α |
|---|---|---|---|---|---|
| Green product | Green product innovation1 | 0.833 | 0.678 | 0.863 | 0.762 |
| Green product innovation2 | 0.870 | ||||
| Green product innovation3 | 0.765 | ||||
| Recycling | Recycling1 | 0.876 | 0.753 | 0.901 | 0.836 |
| Recycling2 | 0.836 | ||||
| Recycling3 | 0.890 | ||||
| Green | Green publicity 1 | 0.862 | 0.780 | 0.913 | 0.858 |
| Green publicity 2 | 0.881 | ||||
| Green publicity 3 | 0.905 | ||||
| Financial | Financial performance1 | 0.821 | 0.612 | 0.862 | 0.785 |
| Financial performance2 | 0.866 | ||||
| Financial performance3 | 0.783 | ||||
| Financial performance4 | 0.639 | ||||
| Environmental performance | Environmental performance1 | 0.779 | 0.624 | 0.868 | 0.795 |
| Environmental performance2 | 0.869 | ||||
| Environmental performance3 | 0.830 | ||||
| Environmental performance4 | 0.665 | ||||
| Social | Social performance1 | 0.817 | 0.677 | 0.863 | 0.763 |
| Social performance2 | 0.829 | ||||
| Social performance3 | 0.823 |
Results of inter-variables correlations and convergent validity.
| Variable | GP | RE | GPI | FP | EP | SP |
|---|---|---|---|---|---|---|
| Green product innovation (GP) |
| |||||
| Recycling (RE) | 0.509 |
| ||||
| Green publicity (GPI) | 0.384 | 0.570 |
| |||
| Financial performance (FP) | 0.643 | 0.704 | 0.630 |
| ||
| Environmental performance (EP) | 0.553 | 0.753 | 0.639 | 0.754 |
| |
| Social performance (SP) | 0.584 | 0.676 | 0.550 | 0.778 | 0.742 |
|
Note: N = 229, squared roots of AVE extracted are shown in boldface on the diagonal and variable correlations are below the diagonal.
The results of hypothesis validation.
| Hypothesis Path | Path Coefficients | Testing Results | |
|---|---|---|---|
| Green product innovation→Financial performance | 0.356 | 4.243 | Accept |
| Green product innovation→Environmental performance | 0.190 | 2.009 | Accept |
| Green product innovation→Social performance | 0.293 | 2.727 | Accept |
| Recycling→Financial performance | 0.353 | 4.100 | Accept |
| Recycling→Environmental performance | 0.297 | 4.806 | Accept |
| Recycling→Social performance | 0.409 | 4.067 | Accept |
| Green publicity→Financial performance | 0.297 | 3.030 | Accept |
| Green publicity→Environmental performance | 0.409 | 3.286 | Accept |
| Green publicity→Social performance | 0.205 | 1.836 | Reject |
Figure 2An alternative model for transforming the second-order factors into the first-order factors of green innovation and business sustainability.