Investigating Rural Domestic Waste Sorting Intentions Based on an Integrative Framework of Planned Behavior Theory and Normative Activation Models: Evidence from Guanzhong Basin, China
Abstract
:1. Introduction
2. Literature Review and Research Hypothesis
2.1. The TPB Framework
2.2. The NAM Framework
2.3. The Integrated Framework of TPB & NAM
3. Methodology
3.1. Measures and Questionnaire Design
3.2. Data Collection and Samples
3.3. Analytical Method
4. Results and Discussion
4.1. Measurement Model Analysis
4.2. Structural Model Analysis
4.3. Mediation Effects Analysis
5. Limitations and Way Forward
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Constructs | Measurement Items |
---|---|
Awareness of Consequences (AC) | Domestic waste is not sorted and will cause environmental pollution (AC1) |
Dumping of domestic waste without sorting will result in waste of resources (AC2) | |
Ascription of Responsibility (AR) | I am responsible for the destruction of environmental quality caused by the sorting of domestic waste (AR1) |
I am responsible for the waste of resources caused by the sorting of domestic waste (AR2) | |
Personal Norm (PN) | I think it is necessary to sort domestic waste (PN1) |
I think I have a responsibility to sort domestic waste (PN2) | |
Attitude towards the Behavior (AT) | I think that the sorting of domestic waste is correct and worth promoting (AT1) |
Sorting of domestic waste is conducive to improving the governance level of human settlements (AT2) | |
Social Norm (SN) | My family thinks that domestic waste should be sorted (SN1) |
My neighbor thinks that domestic waste should be sorted (SN2) | |
Perceived Behavioral Control (PBC) | I have the time and ability to do simple sorting of domestic waste (PBC1) |
I have experience of simple sorting of domestic waste (PBC2) | |
Behavioral Intention (BI) | I am willing to sort and recycle domestic waste (BI1) |
I plan to sort domestic waste in the future (BI2) |
Construct | Item | Loadings | AVE | Cronbach’s Alpha | CR |
---|---|---|---|---|---|
Awareness of Consequences (AC) | AC1 | 0.770 | 0.7105 | 0.825 | 0.8298 |
AC2 | 0.910 | ||||
Ascription of Responsibility (AR) | AR1 | 0.780 | 0.5663 | 0.764 | 0.7228 |
AR2 | 0.724 | ||||
Personal Norm (PN) | PN1 | 0.798 | 0.6392 | 0.786 | 0.7799 |
PN2 | 0.801 | ||||
Attitude towards Behavior (AT) | ATT1 | 0.634 | 0.5258 | 0.675 | 0.6862 |
ATT2 | 0.806 | ||||
Social Norm (SN) | SN1 | 0.801 | 0.6456 | 0.796 | 0.7846 |
SN2 | 0.806 | ||||
Perceived Behavioral Control (PBC) | PBC1 | 0.833 | 0.6914 | 0..818 | 0.8175 |
PBC2 | 0.830 | ||||
Behavioral Intention (BI) | BI1 | 0.868 | 0.7363 | 0.851 | 0.8481 |
BI2 | 0.848 |
Construct | AC | SN | AR | PBC | AT | PN | BI |
---|---|---|---|---|---|---|---|
AC | 0.7105 | ||||||
SN | 0.3457 | 0.6456 | |||||
AR | 0.5170 | 0.5610 | 0.5663 | ||||
PBC | 0.2070 | 0.5975 | 0.3352 | 0.6914 | |||
AT | 0.4543 | 0.4396 | 0.3807 | 0.2621 | 0.5258 | ||
PN | 0.3058 | 0.6194 | 0.5344 | 0.3697 | 0.3136 | 0.6456 | |
BI | 0.2938 | 0.5098 | 0.4199 | 0.3931 | 0.3982 | 0.6368 | 0.7363 |
Hypothesis | Standardized Regression Weights | C.R. | p-Value | Result |
---|---|---|---|---|
H1: AT → BI | 0.240 | 3.043 | 0.002 | Supported |
H2: SN → BI | −0.055 | −0.354 | 0.724 | Not Supported |
H3: PBC → BI | 0.185 | 2.023 | 0.043 | Supported |
H4: SN → AT | 0.407 | 4.754 | *** | Supported |
H5: SN → PBC | 0.773 | 11.557 | *** | Supported |
H6: AC → AR | 0.425 | 6.039 | *** | Supported |
H7: AR → PN | 0.323 | 3.317 | *** | Supported |
H8: PN → BI | 0.594 | 5.284 | *** | Supported |
H9: AC → AT | 0.435 | 5.128 | *** | Supported |
H10: AC → SN | 0.588 | 8.807 | *** | Supported |
H11: SN → AR | 0.499 | 6.804 | *** | Supported |
H12: SN → PN | 0.544 | 5.420 | *** | Supported |
Path | Direct Effect | Indirect Effect | Total Effect |
---|---|---|---|
H1: AT → BI | 0.240 ** | 0.000 | 0.240 ** |
H2: SN → BI | −0.055 | 0.660 *** | 0.605 *** |
H3: PBC → BI | 0.185 * | 0.000 | 0.185 * |
H4: SN → AT | 0.407 *** | 0.000 | 0.407 *** |
H5: SN → PBC | 0.773 *** | 0.000 | 0.773 *** |
H6: AC → AR | 0.425 *** | 0.284 *** | 0.719 *** |
H7: AR → PN | 0.323 ** | 0.000 | 0.323 ** |
H8: PN → BI | 0.594 * | 0.000 | 0.594 *** |
H9: AC → AT | 0.435 *** | 0.239 *** | 0.674 *** |
H10: AC → SN | 0.588 *** | 0.000 | 0.588 *** |
H11: SN → AR | 0.499 *** | 0.000 | 0.499 *** |
H12: SN → PN | 0.544 *** | 0.161 ** | 0.706 *** |
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Shen, J.; Zheng, D.; Zhang, X.; Qu, M. Investigating Rural Domestic Waste Sorting Intentions Based on an Integrative Framework of Planned Behavior Theory and Normative Activation Models: Evidence from Guanzhong Basin, China. Int. J. Environ. Res. Public Health 2020, 17, 4887. https://doi.org/10.3390/ijerph17134887
Shen J, Zheng D, Zhang X, Qu M. Investigating Rural Domestic Waste Sorting Intentions Based on an Integrative Framework of Planned Behavior Theory and Normative Activation Models: Evidence from Guanzhong Basin, China. International Journal of Environmental Research and Public Health. 2020; 17(13):4887. https://doi.org/10.3390/ijerph17134887
Chicago/Turabian StyleShen, Jing, Donghui Zheng, Xiaoning Zhang, and Mei Qu. 2020. "Investigating Rural Domestic Waste Sorting Intentions Based on an Integrative Framework of Planned Behavior Theory and Normative Activation Models: Evidence from Guanzhong Basin, China" International Journal of Environmental Research and Public Health 17, no. 13: 4887. https://doi.org/10.3390/ijerph17134887