Can Fintech Lead to the Collaborative Reduction in Pollution Discharges and Carbon Emissions?
Abstract
:1. Introduction
2. Background and Theoretical Analysis
2.1. Background of the Development of Fintech in China
2.2. Theoretical Analysis and Research Hypotheses
3. Research Materials and Econometric Methods
3.1. Sample and Data Source
3.2. Econometric Models
3.3. Variable Definition and Description
3.4. Descriptive Statistics
4. Estimated Results and Analysis
4.1. Linear Fitting of the Nexus of Fintech and Pollution and Carbon Emissions
4.2. Empirical Analysis of Fintech Affecting Pollution and Carbon Emissions
4.3. Empirical Analysis of Fintech Affecting the Collaborative Reduction Indexes
4.4. Robustness Results Using the Policy of Integrating Technology and Finance
5. Discussion on the Role of Innovation Factors
5.1. Empirical Analysis of the Moderating Effect of Innovation Factors
5.2. Empirical Analysis of the Mediating Effect of Innovation Factors
6. Conclusions and Enlightenments
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Types | Variables | Mean |
---|---|---|
Dependent Variables | lnSO2 | The logarithm of per capita sulfur dioxide emissions |
lnCarbon | The logarithm of per capita carbon dioxide emissions | |
lnWaster | The logarithm of per capita fixed waste emissions | |
Collabora1 | Collaborative index between sulfur dioxide control and carbon emission reduction | |
Collabora2 | Collaborative index of three kinds of pollutant emissions | |
Explanatory Variables | Fintech | The number of searches for relevant keywords in Baidu News |
lnRGDP | Logarithm of per capita gross domestic product | |
Population | The ratio of registered residence population to land area | |
Human | The logarithm of the average salary of urban workers | |
UR | The ratio of urban permanent population and registered residence population | |
ER | Comprehensive indicators of waste treatment rate and solid waste treatment rate | |
Struct | The proportion of the third industry | |
Public | The proportion of fiscal expenditure to GDP | |
lnFDI | The logarithm of the number of foreign enterprises | |
Innovation factors | Fiscal_Tech | The logarithm of technological fiscal expenditure |
lnInnovation | The logarithm of regional innovation index | |
lnGreenPat | The logarithm of the number of green patent applications |
Types | Variables | Obs | Mean | Std. Dev. | Min | Max | Corr. Coeff. |
---|---|---|---|---|---|---|---|
Dependent Variables | lnSO2 | 4938 | 4.2893 | 1.3105 | 0.0000 | 7.9817 | 1.0000 |
lnCarbon | 4938 | 2.0927 | 0.7237 | 0.0256 | 5.3715 | 0.1339 | |
lnWaster | 4938 | 3.7309 | 1.1998 | 0.0057 | 9.3828 | 0.7890 | |
Collabora1 | 4938 | 0.9194 | 0.1078 | 0.0000 | 1.0000 | −0.0564 | |
Collabora2 | 4938 | 0.8874 | 0.1305 | 0.0000 | 1.0000 | 0.1105 | |
Explanatory Variables | Fintech | 4938 | 2.1337 | 1.7761 | 0.0000 | 6.9717 | −0.4644 |
lnRGDP | 4938 | 10.2442 | 0.8262 | 2.5802 | 12.5793 | −0.0507 | |
Population | 4938 | 0.1326 | 0.0406 | 0.0296 | 0.6348 | 0.0259 | |
Human | 4938 | 10.4606 | 0.6840 | 2.2834 | 13.8664 | −0.3062 | |
UR | 4938 | 0.4903 | 0.1649 | 0.1117 | 0.9904 | 0.0388 | |
ER | 4938 | 1.4097 | 2.9908 | 0.0000 | 100.0000 | 0.0508 | |
Struct | 4938 | 38.8606 | 9.7707 | 8.5800 | 98.4884 | −0.3661 | |
Public | 4938 | 0.1862 | 1.3298 | 0.0162 | 93.3969 | 0.0019 | |
lnFDI | 4938 | 3.4184 | 1.5815 | 0.0000 | 8.6496 | −0.0540 | |
Innovation factors | Fiscal_Tech | 4938 | 9.2707 | 1.8197 | −2.0402 | 14.6779 | −0.2806 |
lnInnovation | 4938 | 1.0769 | 1.1019 | 0.0000 | 6.3143 | −0.3323 | |
lnGreenPat | 4311 | 3.7745 | 1.8774 | 0.0000 | 9.6153 | −0.2964 |
Variables | lnSO2 | lnWaster | lnCarbon | |||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
Fintech | −0.0842 *** | −0.0824 *** | −0.0227 *** | −0.0246 *** | −0.0445 * | −0.0425 * |
(0.0213) | (0.0215) | (0.0052) | (0.0051) | (0.0243) | (0.0245) | |
lnRGDP | 0.2303 ** | 0.2620 ** | 0.0561 ** | 0.0953 *** | 0.0739 | 0.0556 |
(0.0926) | (0.1028) | (0.0224) | (0.0288) | (0.0713) | (0.0947) | |
Population | 0.6685 | 0.7655 | 2.0799 *** | 2.0282 *** | 2.0140 *** | 2.0919 *** |
(0.7864) | (0.7918) | (0.3150) | (0.3124) | (0.7559) | (0.7531) | |
UR | −0.2274 | −0.2738 | −0.0219 | −0.0356 | 0.0132 | 0.0121 |
(0.2603) | (0.2589) | (0.0595) | (0.0572) | (0.2756) | (0.2773) | |
ER | 0.0022 | 0.0023 | −0.0010 * | −0.0011 * | −0.0038 | −0.0038 |
(0.0033) | (0.0033) | (0.0006) | (0.0006) | (0.0040) | (0.0040) | |
Human | 0.0659 | 0.0052 | 0.0573 | |||
(0.0415) | (0.0122) | (0.0566) | ||||
Struct | −0.0022 | 0.0034 ** | −0.004 | |||
(0.0030) | (0.0015) | (0.0033) | ||||
Public | 0.0217 *** | 0.0067 *** | −0.0005 | |||
(0.0077) | (0.0022) | (0.0068) | ||||
lnFDI | 0.0488 | −0.0074 | −0.0214 | |||
(0.0569) | (0.0129) | (0.0684) | ||||
City FE | Y | Y | Y | Y | Y | Y |
Year FE | Y | Y | Y | Y | Y | Y |
R2_Adjusted | 0.6637 | 0.665 | 0.6132 | 0.6203 | 0.3727 | 0.3731 |
Observations | 4938 | 4938 | 4938 | 4938 | 4938 | 4938 |
Variables | Collabora1 | Collabora2 | ||||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
Fintech | 0.0087 *** | 0.0082 *** | 0.0068 *** | 0.0080 *** | 0.0062 ** | 0.0062 ** |
(0.0016) | (0.0021) | (0.0019) | (0.0020) | (0.0030) | (0.0029) | |
lnRGDP | 0.0131 *** | −0.0047 | 0.0165 ** | −0.0022 | −0.0127 | −0.0154 |
(0.0038) | (0.0071) | (0.0079) | (0.0106) | (0.0102) | (0.0137) | |
Population | 0.1627 ** | 0.2624 *** | 0.1670 ** | 0.2544 *** | 0.3140 *** | 0.3098 *** |
(0.0756) | (0.0780) | (0.0767) | (0.0773) | (0.1046) | (0.1044) | |
UR | 0.0566 ** | 0.0452 * | 0.0507 ** | 0.0464 * | 0.0567 * | 0.0594 * |
(0.0250) | (0.0260) | (0.0254) | (0.0259) | (0.0323) | (0.0324) | |
ER | 0.0001 | 0.0001 | 0.0001 | 0.0001 | −0.0002 | −0.0002 |
(0.0003) | (0.0003) | (0.0003) | (0.0003) | (0.0004) | (0.0004) | |
Human | 0.0006 | −0.0092 | −0.0096 | |||
(0.0077) | (0.0066) | (0.0087) | ||||
Struct | 0.0004 | 0.0002 | 0.0001 | |||
(0.0004) | (0.0005) | (0.0005) | ||||
Public | 0.0013 ** | −0.0001 | −0.001 | |||
(0.0006) | (0.0008) | (0.0010) | ||||
lnFDI | −0.0030 | −0.0016 | 0.0018 | |||
(0.0059) | (0.0066) | (0.0079) | ||||
City FE | Y | Y | Y | Y | Y | Y |
Year FE | N | Y | N | Y | N | Y |
R2_Adjusted | 0.1533 | 0.1753 | 0.1543 | 0.1757 | 0.0889 | 0.0889 |
Observations | 4938 | 4938 | 4938 | 4938 | 4938 | 4938 |
Variables | lnSO2 | lnCarbon | Collabora1 | |||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
Fintech | −0.2803 *** | −0.2877 *** | −0.0744 *** | −0.0891 *** | 0.0182 * | 0.0123 |
(0.0906) | (0.0783) | (0.0211) | (0.0231) | (0.0107) | (0.0107) | |
lnRGDP | −0.0248 | 0.2556 ** | 0.1852 *** | 0.0933 *** | 0.0220 *** | −0.0016 |
(0.1257) | (0.1022) | (0.0227) | (0.0290) | (0.0083) | (0.0107) | |
Population | −2.0227 | 0.8216 | 1.9492 *** | 2.0479 *** | 0.1844 ** | 0.2629 *** |
(1.3141) | (0.8168) | (0.3048) | (0.3226) | (0.0760) | (0.0781) | |
UR | −0.3840 *** | 0.0548 | 0.0622 ** | 0.0017 | 0.0061 | −0.0089 |
(0.1377) | (0.0399) | (0.0248) | (0.0118) | (0.0089) | (0.0065) | |
ER | −1.4567 *** | −0.3152 | 0.0275 | −0.0478 | 0.0657 *** | 0.0510 * |
(0.3002) | (0.2610) | (0.0538) | (0.0582) | (0.0250) | (0.0265) | |
Human | 0.0068 | 0.0025 | −0.0016 ** | −0.0010 * | −0.0001 | 0.0001 |
(0.0044) | (0.0032) | (0.0007) | (0.0006) | (0.0003) | (0.0003) | |
Struct | −0.0400 *** | −0.0024 | 0.0050 *** | 0.0033 ** | 0.0007 ** | 0.0002 |
(0.0062) | (0.0030) | (0.0009) | (0.0015) | (0.0004) | (0.0005) | |
Public | 0.0062 | 0.0211 *** | 0.0130 *** | 0.0065 *** | 0.0017 *** | 0.0000 |
(0.0092) | (0.0076) | (0.0020) | (0.0022) | (0.0006) | (0.0008) | |
lnFDI | 0.4257 *** | 0.0519 | −0.0214 * | −0.0065 | −0.0075 | −0.002 |
(0.0583) | (0.0570) | (0.0111) | (0.0132) | (0.0056) | (0.0066) | |
City FE | Y | Y | Y | Y | Y | Y |
Year FE | N | Y | N | Y | N | Y |
R2_Adjusted | 0.4653 | 0.6655 | 0.6062 | 0.6217 | 0.1505 | 0.1726 |
Observations | 4938 | 4938 | 4938 | 4938 | 4938 | 4938 |
Variables | lnSO2 | lnCarbon | Collabora1 | |||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
Fintech | 0.1782 *** | −0.0241 | 0.1024 *** | 0.0024 | −0.0245 *** | −0.0002 |
(0.0621) | (0.0224) | (0.0130) | (0.0042) | (0.0072) | (0.0023) | |
Fintech × Fiscal_Tech | −0.0251 *** | −0.0122 *** | 0.0031 *** | |||
(0.0061) | (0.0013) | (0.0007) | ||||
Fintech × lnInnovation | −0.0286 *** | −0.0132 *** | 0.0040 *** | |||
(0.0069) | (0.0015) | (0.0009) | ||||
Controls | Y | Y | Y | Y | Y | Y |
City FE | Y | Y | Y | Y | Y | Y |
Year FE | Y | Y | Y | Y | Y | Y |
R2_Adjusted | 0.6709 | 0.6710 | 0.6486 | 0.6464 | 0.19300 | 0.1984 |
Observations | 4938 | 4938 | 4938 | 4938 | 4938 | 4938 |
Variables | lnGreenPat | lnSO2 | lnCarbon | Collabora | ||||
---|---|---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | |
Fintech | 0.0731 *** | 0.0721 *** | −0.0705 *** | −0.0682 *** | −0.0221 *** | −0.0242 *** | 0.0065 *** | 0.0037 |
(0.0253) | (0.0251) | (0.0226) | (0.0230) | (0.0051) | (0.0050) | (0.0021) | (0.0031) | |
lnGreenPat | 0.0112 | 0.0045 | −0.0226 *** | −0.0241 *** | 0.0028 | 0.0084 ** | ||
(0.0342) | (0.0350) | (0.0063) | (0.0061) | (0.0025) | (0.0033) | |||
Controls | N | Y | N | Y | N | Y | Y | Y |
City FE | Y | Y | Y | Y | Y | Y | Y | Y |
Year FE | Y | Y | Y | Y | Y | Y | Y | Y |
R2_Adjusted | 0.8815 | 0.8838 | 0.6642 | 0.6653 | 0.6288 | 0.6378 | 0.182 | 0.0937 |
Observations | 4311 | 4311 | 4311 | 4311 | 4311 | 4311 | 4311 | 4311 |
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Wen, H.; Liu, Y. Can Fintech Lead to the Collaborative Reduction in Pollution Discharges and Carbon Emissions? Sustainability 2023, 15, 11627. https://doi.org/10.3390/su151511627
Wen H, Liu Y. Can Fintech Lead to the Collaborative Reduction in Pollution Discharges and Carbon Emissions? Sustainability. 2023; 15(15):11627. https://doi.org/10.3390/su151511627
Chicago/Turabian StyleWen, Huwei, and Yutong Liu. 2023. "Can Fintech Lead to the Collaborative Reduction in Pollution Discharges and Carbon Emissions?" Sustainability 15, no. 15: 11627. https://doi.org/10.3390/su151511627