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Innovative Application of Financial Technology in Promoting Green Supply Chain Finance and Carbon Emission Management

Juan Du

Juan Du

School of Economics and Management, Guangdong Polytechnic InstituteGuangzhou, China
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Du, Juan
  
22 set 2025
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Categoria dell'articolo: Research Papers
Pubblicato online: 22 set 2025
Ricevuto: 08 gen 2025
Accettato: 30 apr 2025
DOI: https://doi.org/10.2478/amns-2025-0947
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© 2025 Juan Du, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Dynamic distribution of coupled coordination
Dynamic distribution of coupled coordination

Figure 2.

The Changjiang economy brings the Moran’s I index and its p-values in 2010-2021
The Changjiang economy brings the Moran’s I index and its p-values in 2010-2021

Descriptive statistics of major variables

Variable Sample size Mean Standard deviation Minimum value Maximum value
Fin 3435 1.3648 0.3795 0.2349 2.1359
CO2GDP 3435 1.0064 1.7539 0.0158 58.0963
Pep 3435 5.7265 0.9125 1.6128 8.2155
Gov 3435 0.1954 0.1055 0.0346 0.9163
Urban 3435 56.0485 15.0365 19.7532 100
Pegy 3435 0.1132 1.0256 0.2362 40.8235
Patent 3435 7.6163 1.6486 2.9465 12.5396
Sec 3435 46.1596 11.0957 10.6248 89.7655

Financial technology returns to carbon emissions

(1)
CO2GDP
Fin -0.7598***
(-3.0645)
Pep 0.01981
(0.1648)
Gov -0.1348***
(-2.7865)
Urban 15.5485***
(5.6432)
Pegy 0.45668
(1.2935)
Patent 0.34853
(1.2648)
Sec 0.2455
(0.3154)
_cons 7.4865***
(4.6258)
Province YES
Year YES
N 320
R2 0.3485
Adj.R2 0.2495

The return of financial technology to green supply chain finance

(1)
Gre
Fin 2.1965***
(4.2156)
Cov 5.4295***
(2.8462)
Infor 0.2948
(1.2364)
Reg -3.4851***
(-3.1685)
Growth -10.8165*
(-1.8164)
Dar 0.1592
(0.2465)
ROA 2.0452**
(0.9154)
Indep 1.2645
(0.3498)
Fa 3.4685
(1.2988)
Ta 5.8862
(0.9845)
_cons 3.9455
(1.8126)
Province YES
Year YES
N 320
R2 0.8465
Adj.R2 0.8053

Endogenous test results

Variable (1) (2) (3) (4) (5) (6)
First stage Second order First stage Second order CO2GDP Score
CO2GDP 0.1458** 0.7628*** 0.2654***
(-12.3458) (-5.4585) (-6.5462)
IV1 0.0138*
(-0.9545)
IV2 0.0245***
(-0.0065)
IV3 0.8545***
(-0.0275)
Constant term 0.2958*** -0.5154 0.1258 -0.6158** -0.0745 -1.5184***
(-0.0945) (-1.2568) (-0.0958) (-2.546) (-0.0648) (-8.1515)
Control variable YES YES YES YES YES YES
Time fixed effect YES YES YES YES YES YES
Individual fixation effect YES YES YES YES YES YES
Sample size 320 320 320 320 320 320
R2 0.4566 0.4856 0.5769

Descriptive statistics

Variable Sample size Mean Standard deviation Minimum value Maximum value
Gre 5026 0.1348 0.1325 0 0.7265
Fin 5026 0.4595 0.2445 0.0032 0.9418
Cov 5026 3.4184 1.3174 1.6284 5.5615
Infor 5026 -0.0048 0.1355 -1.6185 6.1544
Reg 5026 16.6158 9.1454 5.2154 30.2569
Growth 5026 0.5915 10.5215 -2.0556 434.5955
Dar 5026 0.4023 0.1863 0.0165 0.9875
ROA 5026 0.0369 0.0876 -1.6184 0.7845
Indep 5026 37.4524 5.4262 16.6185 66.6185
Fa 5026 0.2648 0.1359 0.0021 0.9154
Ta 5026 22.3145 0.9364 19.8465 26.4564
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