Does Government-Led Publicity Enhance Corporate Green Behavior? Empirical Evidence from Green Xuanguan in China
Abstract
:1. Introduction
2. Literatures and Theoretical Model
2.1. Informative Publicity and Corporate Behavior
2.2. Internal Perception and Corporate Behavior
2.3. External Environment Perception and Corporate Behavior
2.4. Model Specification
3. Data and Method
3.1. Sampling and Data Collection
3.2. Descriptive Statistics
3.3. Method
4. Results
4.1. Reliability and Validity Test
4.2. Empirical Results
Hypothesis | Path | St. Coefficient | p | Result | |
---|---|---|---|---|---|
H1 | Xuanguan → PG opportunity | 0.71 | 0.36 | *** | Accept |
PG opportunity → corporate green behavior | 0.50 | *** | |||
H2 | Xuanguan → PG risk | 0.54 | 0.10 | *** | Accept |
PG risk → corporate green behavior | 0.18 | ** | |||
H3 | Xuanguan → PGI of competitor | 0.63 | 0.24 | *** | Accept |
PGI of competitor → corporate green behavior | 0.38 | *** | |||
H4 | Xuanguan → PGI of territorial government | 0.59 | 0.07 | *** | Accept |
PGI of territorial government → corporate green behavior | 0.12 | * |
4.3. Subgroup-Based Analysis
4.4. Further Analysis
5. Discussion
6. Conclusions and Implications
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Latent Variable | Indicators | Cronbach’s Alpha |
---|---|---|
Xuanguan | 4 | 0.883 |
PG Opportunity | 5 | 0.868 |
PG Risk | 4 | 0.901 |
PGI of competitor | 4 | 0.806 |
PGI of territorial government | 4 | 0.892 |
GTI | 5 | 0.905 |
GPP | 5 | 0.860 |
GM | 7 | 0.893 |
GER | 6 | 0.924 |
Latent Variable | Indicators | KMO | Bartlett Test | ||
---|---|---|---|---|---|
Chi-Square | DF | Sig | |||
Xuanguan | 4 | 0.806 | 446.962 | 6 | 0.000 |
PG Opportunity | 5 | 0.884 | 579.818 | 10 | 0.000 |
PG Risk | 4 | 0.823 | 372.488 | 6 | 0.000 |
PGI of competitor | 4 | 0.837 | 406.347 | 6 | 0.000 |
PGI of territorial government | 4 | 0.839 | 453.288 | 6 | 0.000 |
GTI | 5 | 0.893 | 595.313 | 10 | 0.000 |
GPP | 5 | 0.858 | 412.359 | 10 | 0.000 |
GM | 7 | 0.907 | 669.395 | 21 | 0.000 |
GER | 6 | 0.909 | 838.824 | 15 | 0.000 |
Latent Variable | Item | Factor Loading | Accumulative Contribution Rate | |
---|---|---|---|---|
Xuanguan | 1 | 0.919 | 74.074% | |
2 | 0.823 | |||
3 | 0.817 | |||
4 | 0.880 | |||
PG Opportunity | 1 | 0.850 | 71.799% | |
2 | 0.833 | |||
3 | 0.816 | |||
4 | 0.876 | |||
5 | 0.861 | |||
PG Risk | 1 | 0.845 | 71.732% | |
2 | 0.859 | |||
3 | 0.834 | |||
4 | 0.849 | |||
PGI of territorial government | 1 | 0.897 | 75.703% | |
2 | 0.847 | |||
3 | 0.869 | |||
4 | 0.867 | |||
PGI of competitor | 1 | 0.873 | 73.667% | |
2 | 0.868 | |||
3 | 0.852 | |||
4 | 0.841 | |||
Corporate Green Behavior | GTI | 1 | 0.864 | 66.372% |
2 | 0.811 | |||
3 | 0.808 | |||
4 | 0.770 | |||
5 | 0.780 | |||
GPP | 1 | 0.826 | ||
2 | 0.713 | |||
3 | 0.603 | |||
4 | 0.727 | |||
5 | 0.582 | |||
GM | 1 | 0.846 | ||
2 | 0.677 | |||
3 | 0.741 | |||
4 | 0.709 | |||
5 | 0.767 | |||
6 | 0.606 | |||
7 | 0.530 | |||
GER | 1 | 0.903 | 72.358% | |
2 | 0.849 | |||
3 | 0.852 | |||
4 | 0.793 | |||
5 | 0.827 | |||
6 | 0.876 |
Item | CMIN/DF | CFI | RMSEA | AVE | CR |
---|---|---|---|---|---|
Pass Standard | <3 | >0.9 | <0.1 | >0.5 | >0.7 |
- Confirmatory Factor Analysis of Government-led Green Publicity
- 2.
- Confirmatory Factor Analysis of Green Intention (group)
Latent Variable | Indicators | CMIN/DF | CFI | RMSEA | AVE | CR |
---|---|---|---|---|---|---|
PG Opportunity | 5 | 1.501 | 0.996 | 0.050 | 0.648 | 0.902 |
PG Risk | 4 | 2.298 | 0.993 | 0.081 | 0.623 | 0.869 |
PGI of competitor | 4 | 0.427 | 1 | 0 | 0.650 | 0.881 |
PGI of territorial government | 4 | 0.874 | 1 | 0 | 0.677 | 0.893 |
- 3.
- Confirmatory Factor Analysis of Corporate Green Behavior
1st Order Latent Variable | Indicators | CMIN/DF | CFI | RMSEA | AVE | CR |
---|---|---|---|---|---|---|
GTI | 5 | 0.198 | 1 | 0 | 0.658 | 0.906 |
GPP | 5 | 1.796 | 0.99 | 0.063 | 0.553 | 0.861 |
GM | 7 | 1.904 | 0.981 | 0.068 | 0.544 | 0.893 |
Variable | Item | Standard Factor Loading | C.R. | p | AVE | CR |
---|---|---|---|---|---|---|
Corporate Green Behavior | GTI | 0.655 | 0.691 | 0.868 | ||
GPP | 0.848 | 7.492 | *** | |||
GM | 0.962 | 6.979 | *** | |||
GTI | GTI_1 | 0.870 | 0.659 | 0.906 | ||
GTI_2 | 0.760 | 12.8 | *** | |||
GTI_3 | 0.829 | 14.713 | *** | |||
GTI_4 | 0.771 | 13.088 | *** | |||
GTI_5 | 0.823 | 14.549 | *** | |||
GPP | GPP_1 | 0.706 | 0.552 | 0.86 | ||
GPP_2 | 0.792 | 10.247 | *** | |||
GPP_3 | 0.732 | 9.519 | *** | |||
GPP_4 | 0.718 | 9.354 | *** | |||
GPP_5 | 0.764 | 9.909 | *** | |||
GM | GM_1 | 0.777 | 0.544 | 0.893 | ||
GM_2 | 0.692 | 10.017 | *** | |||
GM_3 | 0.744 | 10.904 | *** | |||
GM_4 | 0.701 | 10.162 | *** | |||
GM_5 | 0.769 | 11.339 | *** | |||
GM_6 | 0.773 | 11.415 | *** | |||
GM_7 | 0.703 | 10.209 | *** |
- 4.
- Confirmatory Factor Analysis of Environmental Regulation
Latent Variable | Indicators | CMIN/DF | CFI | RMSEA | AVE | CR |
---|---|---|---|---|---|---|
GER | 6 | 2.461 | 0.984 | 0.086 | 0.670 | 0.924 |
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Variable | Item | Count | % |
---|---|---|---|
Gender | Male | 139 | 69.85 |
Female | 60 | 30.15 | |
Age | ≤30 | 114 | 57.29 |
31–40 | 55 | 27.64 | |
41–50 | 22 | 11.06 | |
>50 | 8 | 4.02 | |
Length of service | <5 | 74 | 37.19 |
5–10 | 94 | 47.24 | |
11–20 | 27 | 13.57 | |
>20 | 4 | 2.01 | |
Education background | College Degree or below | 46 | 23.12 |
Bachelor Degree | 116 | 58.29 | |
Master Degree | 33 | 16.58 | |
Doctoral Degree | 4 | 2.01 | |
Corporate scale | corporations above designated scale | 57 | 28.64 |
corporations below designated scale | 142 | 71.36 | |
Corporate ownership | State-owned enterprise (SOE) | 116 | 58.29 |
Non-state-owned enterprise (non-SOE) | 83 | 41.71 |
Question Items | Average | S.D. |
---|---|---|
Xuanguan | ||
Actively promote sustainable development | 3.72 | 1.11 |
Provides green information related to our corporation | 3.60 | 1.02 |
The information is very sufficient | 3.66 | 0.92 |
PG Opportunity | ||
Green behavior can improve corporate economic performance | 3.53 | 1.10 |
Green behavior can improve corporate environmental performance | 3.75 | 1.05 |
Green behavior can improve corporate production efficiency | 3.63. | 0.94. |
Green behavior can enhance corporate image | 3.84 | 1.05 |
Green behavior can enhance the corporate comprehensive competitiveness | 3.76 | 1.03 |
PG Risk | ||
Fully understand the adverse impact of the corporation on the environment | 3.58 | 1.11 |
Fully understand the impact of environmental regulations on the corporation | 3.65 | 1.09 |
Fully understand the best environmental protection measures in the industry | 3.71 | 1.02 |
Think it is right to assume social responsibility for environmental protection | 3.77 | 1.02 |
PGI of Competitor | ||
Attach great importance to environmental protection in operation | 3.70 | 1.14 |
Think green behavior is very important to the whole society | 3.77 | 1.07 |
Take green behavior as an important index to evaluate the corporate reputation | 3.69 | 0.93 |
Pay close attention to the environmental protection behavior of our corporation | 3.72 | 1.12 |
PGI of Territorial Government | ||
Take environmental protection as one of the important tasks of governance | 3.75 | 1.16 |
Think green behavior is very important to the whole society | 3.73 | 1.07 |
Take green behavior as an important index to evaluate the corporate reputation | 3.74 | 1.04 |
Pay close attention to the environmental protection behavior of our corporation | 3.81 | 1.00 |
GTI | ||
Willing to increase investment in the innovative design of green products | 3.79 | 1.13 |
Pay attention to the transformation of R & D focus to green products | 3.75 | 1.08 |
Committed to improving production processes to reduce pollution and consumption | 3.78 | 1.06 |
Prefer to design new products with low pollution and low energy consumption | 3.79 | 1.06 |
Prefer to design new products with low pollution and low energy consumption | 3.81. | 1.02 |
GPP | ||
Compared with peers, the equipment used is greener and more advanced | 3.72 | 0.96 |
Compared with peers, the process technology used is greener and energy-saving | 3.72 | 0.96 |
Compared with peers, the raw materials used are more environmentally friendly | 3.72 | 0.96 |
Compared with its peers, a higher proportion of green and clean energy are used | 3.75 | 0.98 |
Compared with peers, treatment or recycling are paid more attention | 3.73 | 0.97 |
GM | ||
Compared with peers, identify the green needs of customers more efficiently | 3.67 | 1.07 |
Compared with peers, pay attention to the green behavior of channel members | 3.73 | 0.93 |
Compared with peers, the promotion process thinks highly of environmental protection | 3.75 | 0.97 |
Compared with peers, prefer to implement green communication | 3.73 | 0.92 |
Compared with peers, more inclined to establish a green corporate image | 3.88 | 0.99 |
When formulating strategies, more consideration is given to environmental protection | 3.73 | 1.03 |
Will adjust the organizational structure to implement green behavior | 3.76 | 0.95 |
GER | ||
The environmental laws and regulations faced are relatively perfect | 3.69 | 1.14 |
Strict environmental protection laws and regulations are faced | 3.68 | 1.04 |
If it fails to meet the environmental standards, it will be subject to strict pollution control punishment | 3.78 | 1.05 |
The government has formulated a perfect tax preference system for corporate green behavior | 3.66 | 0.99 |
The government provides well-established project loan discounts or loan preferences for corporations implementing green behavior | 3.69 | 1.07 |
The government provides special fund subsidies with a perfect system for corporate green projects | 3.75 | 1.10 |
Latent Variable | Indicators | Alpha | KMO | Bartlett | AVE | CR |
---|---|---|---|---|---|---|
Xuanguan | 3 | 0.883 | 0.806 | 0.000 | 0.699 | 0.874 |
PG Opportunity | 5 | 0.868 | 0.884 | 0.000 | 0.648 | 0.902 |
PG Risk | 4 | 0.901 | 0.823 | 0.000 | 0.623 | 0.869 |
PGI of competitor | 4 | 0.880 | 0.837 | 0.000 | 0.650 | 0.881 |
PGI of territorial government | 4 | 0.892 | 0.839 | 0.000 | 0.677 | 0.893 |
GTI | 5 | 0.905 | 0.893 | 0.000 | 0.658 | 0.906 |
GPP | 5 | 0.860 | 0.858 | 0.000 | 0.553 | 0.861 |
GM | 7 | 0.893 | 0.907 | 0.000 | 0.544 | 0.893 |
GER | 6 | 0.924 | 0.909 | 0.000 | 0.670 | 0.924 |
Index | CMIN/DF | NFI | RMSEA | CFI | IFI | TLI |
---|---|---|---|---|---|---|
Model results | 1.758 | 0.804 | 0.062 | 0.904 | 0.905 | 0.897 |
Standard | <3 | >0.5 | <1 | >0.9 | >0.9 | >0.8 |
Model accuracy | Excellent | Excellent | Excellent | Excellent | Excellent | Excellent |
Index | CMIN/DF | NFI | RMSEA | CFI | IFI | TLI |
---|---|---|---|---|---|---|
Model results | 1.708 | 0.799 | 0.060 | 0.905 | 0.906 | 0.898 |
Standard | <3 | >0.5 | <1 | >0.9 | >0.9 | >0.8 |
Model accuracy | Excellent | Excellent | Excellent | Excellent | Excellent | Excellent |
Model | UnStd.C | High Score (p) | Medium Score (p) | Low Score (p) | F | R-sq |
---|---|---|---|---|---|---|
Model 1 | 0.1957 *** | *** | *** | *** | 13.7758 | 0.0399 |
Model 2 | 0.2173 *** | 0.2972 | *** | *** | 11.4537 | 0.0472 |
Model 3 | 0.1426 ** | 0.0379 ** | *** | *** | 5.0862 | 0.0189 |
Model 4 | 0.1243 ** | 0.0343 ** | *** | *** | 4.0097 | 0.0150 |
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Wu, Y.; Zhang, J.; Liu, S.; Ma, L. Does Government-Led Publicity Enhance Corporate Green Behavior? Empirical Evidence from Green Xuanguan in China. Sustainability 2022, 14, 3181. https://doi.org/10.3390/su14063181
Wu Y, Zhang J, Liu S, Ma L. Does Government-Led Publicity Enhance Corporate Green Behavior? Empirical Evidence from Green Xuanguan in China. Sustainability. 2022; 14(6):3181. https://doi.org/10.3390/su14063181
Chicago/Turabian StyleWu, Yuan, Jin Zhang, Shoulin Liu, and Lianrui Ma. 2022. "Does Government-Led Publicity Enhance Corporate Green Behavior? Empirical Evidence from Green Xuanguan in China" Sustainability 14, no. 6: 3181. https://doi.org/10.3390/su14063181
APA StyleWu, Y., Zhang, J., Liu, S., & Ma, L. (2022). Does Government-Led Publicity Enhance Corporate Green Behavior? Empirical Evidence from Green Xuanguan in China. Sustainability, 14(6), 3181. https://doi.org/10.3390/su14063181