| Literature DB >> 34070088 |
Hua Yu1, Muhammad Salman Shabbir2, Naveed Ahmad3, Antonio Ariza-Montes4, Alejandro Vega-Muñoz5, Heesup Han6, Miklas Scholz7,8,9, Muhammad Safdar Sial10.
Abstract
The contemporary literature has largely addressed corporate social responsibility (CSR) at the macro or institutional level, whereas its effect at the micro-level is largely ignored. In addition, contemporary researchers have also ignored the importance of employee pro-environmental behavior to reduce the environmental footprint of small and medium enterprises (SMEs). With this background, the present study attempts to decrease the environmental footprint of the SME sector of China by implementing CSR at the micro-level through the involvement of employees because employees spend a significant amount of their time at workplaces, and hence their environment-related behavior may significantly contribute to improve the natural environment. In this regard, here we examined the impact of the micro-foundation of CSR on SMEs' environmental performance with mediating effect of employees' pro-environmental behavior. The data were collected from the different organizations in China. Our sample constitutes a supervisor-subordinate dyad from which we collected 562 filled questionnaires (281 from each). We used the structural equation modeling technique using AMOS software for data analysis, the results show that CSR, directly and indirectly, through employee's pro-environmental behavior affects the environmental performance of SMEs, and employee pro-environmental behavior partially mediates this relationship. The findings of the present study are helpful for policymakers of the SME sector of China to address widespread environmental issues caused by their business operations.Entities:
Keywords: China; SME; corporate social responsibility; environmental footprints; environmental performance; pro-environmental behavior
Year: 2021 PMID: 34070088 PMCID: PMC8158375 DOI: 10.3390/ijerph18105380
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographic of the respondents (n = 281).
| Demography | Frequency | Demography | Frequency |
|---|---|---|---|
| Age | Gender | ||
| Supervisor | Supervisor | ||
| 28–33 | 72 | Male | 186 |
| 34–38 | 97 | Female | 95 |
| 39–43 | 68 | ||
| Above 43 | 44 | ||
| Subordinate | Subordinate | ||
| 22–27 | 84 | Male | 203 |
| 28–33 | 79 | Female | 78 |
| 34–38 | 66 | ||
| Above 38 | 52 | ||
| Experience | Type of industry | ||
| Supervisor | |||
| 3–5 | 67 | Rubber | 41 |
| 6–10 | 146 | Chemical | 47 |
| Above | 68 | Textile | 53 |
| Subordinate | |||
| 1–3 | 73 | Footwear | 44 |
| 4–6 | 152 | Electronic equipment | 63 |
| Above | 56 | others | 33 |
Notes: n = number of respondents.
Correlations, validities, and reliabilities.
| Variables | Mean | SD | CSR | PEB | ENP | α | CR | AVE | MSV | ASV |
|---|---|---|---|---|---|---|---|---|---|---|
| CSR | 3.29 | 0.66 | (0.79) b | 0.14 ** | 0.26 ** | 0.84 | 0.84 | 0.62 | 0.09 | 0.08 |
| PEB | 3.71 | 0.53 | (0.83) b | 0.19 ** | 0.79 | 0.81 | 0.67 | 0.14 | 0.12 | |
| ENP | 3.84 | 0.68 | (0.77) b | 0.87 | 0.88 | 0.59 | 0.10 | 0.07 | ||
| ( | ||||||||||
*** model fit indices for measurement model, n = 281, p < 0.001. CSR = corporate social responsibility, PEB = pro-environmental behavior, ENP = environmental performance, CR= composite reliability, AVE = average variance extracted MSV = maximum shared variance, ASV = average shared variance, b = square root of AVE, SD = standard deviation, ** = significant values (p < 0.05).
Hypotheses testing.
| Path | Beta Value | S.E | LLCI | ULCI | Decision |
|---|---|---|---|---|---|
|
| |||||
| CSR→PEB (H1) | 0.33 ** | 0.123 | 0.193 | 0.326 | Supported |
| PEB→ENP (H2) | 0.27 ** | 0.077 | 0.470 | 0.685 | Supported |
| CSR→ENP (H3) | 0.48 ** | 0.156 | 0.593 | 0.886 | Supported |
| ( | |||||
|
| |||||
| CSR→PEB→ENP (H4) | 0.090 ** | 0.031 | 0.338 | 0.510 | Supported |
| (χ2 /df = 2.61, CFI = 0.93, GFI = 0.91, IFI = 0.96 and RMSEA = 0.069) *** | |||||
CSR = corporate social responsibility, S.E= standard error, PEB = pro-environmental behavior, ENP = environmental performance, LLCI = lower limit confidence interval, ULCI = upper limit confidence interval, *** model fit indices for measurement model, ** = significant values (p < 0.05).
Figure 1Direct effect model in upper pan, In-direct effect model in the lower pan. Note: ** = significant beta values (p < 0.05).