Study on the Role of Blockchain Technology in Supply Chain Carbon Emission Transparency Enhancement and Financial Regulation
, , and
Feb 03, 2025
About this article
Published Online: Feb 03, 2025
Received: Sep 02, 2024
Accepted: Dec 25, 2024
DOI: https://doi.org/10.2478/amns-2025-0013
Keywords
© 2025 Xingyao Zhou et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Logistic regression
Standard error | Sig. | Exp( |
||
---|---|---|---|---|
F1 | -5.594 | 1.226 | 0.001*** | 0.011 |
F2 | 1.114 | 0.345 | 0.003*** | 0.318 |
F3 | 0.162 | 0.421 | 0.635 | 1.163 |
F4 | 2.368 | 0.518 | 0.003*** | 0.116 |
F5 | -0.137 | 0.288 | 0.001* | 0.987 |
F6 | -1.839 | 0.528 | 0.005* | 0.158 |
F7 | 2.603 | 0.46 | 0.000 | 13.553 |
Constants | 5.366 | 0.261 | 0.005*** | 1.441 |
Total variance explanation
Constituent | Initial eigenvalue | Extracting the load of the load | Rotational load squared | ||||||
---|---|---|---|---|---|---|---|---|---|
Total | Var% | Cum% | Total | Var% | Cum% | Total | Var% | Cum% | |
1 | 4.07 | 26.913 | 26.913 | 4.07 | 26.913 | 26.913 | 4.058 | 25.096 | 25.096 |
2 | 3.935 | 15.173 | 42.086 | 3.935 | 15.173 | 42.086 | 3.947 | 14.258 | 39.354 |
3 | 2.74 | 10.548 | 52.634 | 2.74 | 10.548 | 52.634 | 2.722 | 10.879 | 50.233 |
4 | 2.028 | 7.808 | 60.442 | 2.028 | 7.808 | 60.442 | 2.029 | 8.517 | 58.75 |
5 | 1.596 | 6.109 | 66.551 | 1.596 | 6.109 | 66.551 | 1.6 | 6.458 | 65.208 |
6 | 1.336 | 5.155 | 71.706 | 1.336 | 5.155 | 71.706 | 1.328 | 5.982 | 71.19 |
7 | 1.036 | 3.973 | 75.679 | 1.036 | 3.973 | 75.679 | 1.028 | 4.489 | 75.679 |
8 | 0.856 | 3.481 | 79.16 | ||||||
9 | 0.819 | 3.165 | 82.325 | ||||||
10 | 0.677 | 2.59 | 84.915 | ||||||
11 | 0.629 | 2.436 | 87.351 | ||||||
12 | 0.541 | 2.03 | 89.381 | ||||||
13 | 0.477 | 1.819 | 91.2 | ||||||
14 | 0.386 | 1.512 | 92.712 | ||||||
15 | 0.364 | 1.409 | 94.121 | ||||||
16 | 0.338 | 1.335 | 95.456 | ||||||
17 | 0.263 | 1.089 | 96.545 | ||||||
18 | 0.223 | 0.937 | 97.482 | ||||||
19 | 0.185 | 0.696 | 98.178 | ||||||
20 | 0.162 | 0.626 | 98.804 | ||||||
21 | 0.151 | 0.523 | 99.327 | ||||||
22 | 0.101 | 0.398 | 99.725 | ||||||
23 | 0.087 | 0.275 | 100 |
Rotated component matrix
Index | Constituent | ||||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | |
X18 | 0.889 | -0.03 | 0.143 | 0.126 | 0.017 | -0.134 | 0.051 |
X15 | 0.868 | -0.166 | 0.06 | 0.133 | 0.007 | 0.065 | -0.022 |
X23 | 0.83 | -0.138 | -0.054 | -0.028 | 0.09 | 0.088 | -0.119 |
X19 | 0.826 | -0.112 | -0.086 | -0.037 | 0.035 | 0.185 | -0.186 |
X16 | 0.814 | -0.033 | -0.167 | -0.039 | -0.111 | -0.081 | 0.06 |
X17 | 0.785 | -0.12 | -0.096 | -0.086 | -0.159 | -0.095 | -0.098 |
X21 | 0.784 | -0.131 | 0.08 | 0.15 | 0.049 | 0.097 | -0.108 |
X20 | 0.781 | -0.024 | 0.137 | -0.378 | -0.001 | -0.061 | 0.036 |
X22 | 0.746 | -0.056 | -0.145 | -0.37 | 0.004 | -0.015 | 0.018 |
X5 | -0.173 | 0.869 | 0.13 | 0.006 | -0.016 | 0.087 | -0.177 |
X7 | -0.208 | 0.862 | 0.176 | 0.03 | 0.011 | 0.056 | -0.192 |
X4 | -0.193 | 0.812 | -0.258 | 0.122 | 0.14 | 0.161 | 0.145 |
X6 | -0.046 | 0.751 | -0.246 | 0.182 | 0.018 | -0.135 | 0.057 |
X14 | -0.097 | 0.607 | -0.325 | 0.1 | 0.09 | 0.217 | 0.382 |
X10 | -0.062 | -0.019 | 0.871 | 0.036 | 0.029 | 0.157 | -0.129 |
X9 | -0.013 | -0.052 | 0.82 | -0.128 | 0.287 | 0.151 | 0.143 |
X12 | -0.103 | -0.266 | 0.768 | 0.169 | -0.109 | -0.226 | -0.101 |
X11 | 0.053 | -0.004 | 0.026 | 0.961 | -0.049 | -0.03 | -0.031 |
X13 | -0.152 | 0.375 | -0.003 | 0.853 | -0.01 | 0.098 | 0.086 |
X2 | -0.214 | 0.134 | -0.059 | -0.037 | 0.858 | 0.063 | -0.004 |
X1 | 0.207 | 0.012 | 0.242 | -0.065 | 0.684 | -0.077 | -0.075 |
X3 | 0.125 | 0.306 | -0.056 | 0.108 | -0.072 | 0.682 | 0.004 |
X8 | 0.251 | 0.319 | -0.181 | -0.094 | -0.415 | -0.539 | 0.251 |
Supply chain financial credit risk evaluation system based on block-chain
Primary index | Secondary index | Tertiary index |
---|---|---|
Supply chain carbon transparency | Carbon data accuracy | Data collection frequency (X1) |
Data verification mechanism validity (X2) | ||
The degree of disclosure of carbon emissions | The timeliness of disclosure (X3) | |
The comprehensiveness of the disclosure (X4) | ||
Standardization of disclosure formats (X5) | ||
The setting and achievement of carbon targets | Clarity of target reduction (X6) | |
Effectiveness of mitigation measures (X7) | ||
Supply chain financial supervision level | The perfection of the regulatory framework | Coverage of laws and regulations (X8) |
Authority of regulators (X9) | ||
The timeliness of policy updates (X10) | ||
The stricture of regulatory execution | Frequency of compliance checks (X11) | |
The severity of the punishment (X12) | ||
The degree of application of regulatory technology | Data analysis capability (X13) | |
Information sharing mechanism (X14) | ||
Block chain technology utility | The node enterprise is decentralized | Point to point trading (X15) |
Distributed ledger (X16) | ||
Information sharing degree (X17) | ||
Business function | Intelligent payment (X18) | |
Prudential survey (X19) | ||
Traceability (X20) | ||
Business mechanism security | Enterprise information completeness (X21) | |
Trade consensus mechanism (X22) | ||
Encryption security (X23) |
Enterprise indicators
Primary index | Secondary index | Tertiary index | Index data |
---|---|---|---|
Supply chain carbon transparency | Carbon data accuracy | Data collection frequency (X1) | 7 |
Data verification mechanism validity (X2) | 9 | ||
The degree of disclosure of carbon emissions | The timeliness of disclosure (X3) | 9 | |
The comprehensiveness of the disclosure (X4) | 8 | ||
Standardization of disclosure formats (X5) | 6 | ||
The setting and achievement of carbon targets | Clarity of target reduction (X6) | 7 | |
Effectiveness of mitigation measures (X7) | 8 | ||
Supply chain financial supervision level | The perfection of the regulatory framework | Coverage of laws and regulations (X8) | 9 |
Authority of regulators (X9) | 9 | ||
The timeliness of policy updates (X10) | 7 | ||
The stricture of regulatory execution | Frequency of compliance checks (X11) | 10 | |
The severity of the punishment (X12) | 10 | ||
The degree of application of regulatory technology | Data analysis capability (X13) | 10 | |
Information sharing mechanism (X14) | 7 | ||
Block chain technology utility | The node enterprise is decentralized | Point to point trading (X15) | 7 |
Distributed ledger (X16) | 9 | ||
Information sharing degree (X17) | 9 | ||
Business function | Intelligent payment (X18) | 10 | |
Prudential survey (X19) | 7 | ||
Traceability (X20) | 9 | ||
Business mechanism security | Enterprise information completeness (X21) | 10 | |
Trade consensus mechanism (X22) | 7 | ||
Encryption security (X23) | 8 |
KMO and Bartlett spherical test results
KMO sampling availability number | 0.659 | |
---|---|---|
Bartlett ball test | Approximate Chi-square | 1126.524 |
df | 314 | |
Sig. | 0.000 |
Component score coefficient matrix
Index | Constituent | ||||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | |
X1 | -0.484 | 0.721 | 0.207 | -0.135 | 0.056 | -0.062 | 0.024 |
X2 | -0.454 | 0.53 | 0.46 | -0.211 | -0.301 | 0.181 | -0.062 |
X3 | -0.305 | 0.72 | 0.09 | -0.015 | -0.067 | 0.232 | 0.042 |
X4 | 0.188 | 0.4 | -0.314 | 0.015 | -0.38 | 0.446 | 0.233 |
X5 | -0.06 | -0.498 | 0.694 | 0.03 | -0.188 | 0.109 | 0.088 |
X6 | 0.209 | 0.499 | -0.028 | 0.167 | 0.459 | 0.378 | 0.209 |
X7 | -0.333 | 0.656 | 0.079 | -0.107 | 0.106 | -0.24 | 0.232 |
X8 | -0.403 | 0.389 | 0.29 | 0.721 | 0.035 | -0.123 | 0.009 |
X9 | -0.086 | 0.186 | 0.15 | 0.917 | 0.082 | -0.035 | -0.077 |
X10 | -0.456 | 0.506 | 0.466 | -0.193 | -0.254 | 0.238 | -0.098 |
X11 | 0.191 | -0.048 | 0.39 | -0.148 | 0.528 | 0.261 | -0.114 |
X12 | -0.262 | 0.077 | 0.211 | -0.237 | 0.742 | 0.091 | -0.198 |
X13 | 0.007 | -0.492 | 0.69 | -0.132 | 0.117 | 0.073 | 0.274 |
X14 | -0.246 | -0.066 | -0.136 | 0.049 | 0.221 | -0.296 | 0.752 |
X15 | -0.011 | -0.601 | 0.364 | 0.298 | -0.192 | 0.339 | 0.127 |
X16 | 0.216 | -0.021 | 0.638 | -0.192 | -0.069 | -0.323 | 0.182 |
X17 | -0.032 | 0.289 | 0.33 | -0.077 | -0.141 | -0.556 | -0.142 |
X18 | 0.753 | 0.175 | -0.058 | -0.312 | -0.009 | -0.007 | 0.044 |
X19 | 0.77 | 0.328 | -0.056 | 0.027 | -0.025 | -0.005 | 0.11 |
X20 | 0.817 | 0.172 | -0.072 | 0.042 | -0.134 | 0.074 | -0.032 |
X21 | 0.779 | 0.061 | 0.161 | -0.319 | -0.082 | 0.083 | 0.183 |
X22 | 0.811 | 0.185 | 0.216 | 0.198 | 0.02 | 0.115 | 0.138 |
X23 | 0.819 | 0.187 | 0.121 | -0.01 | -0.001 | -0.152 | -0.168 |
The Omnibus test of the table model coefficient
Chi-square | df | P | ||
---|---|---|---|---|
Step 1 | Step | 20.455 | 16 | 0.000 |
Block | 20.455 | 16 | 0.000 | |
Model | 20.455 | 16 | 0.000 |