World Regional Studies ›› 2025, Vol. 34 ›› Issue (1): 94-111.DOI: 10.3969/j.issn.1004-9479.2025.01.20222447
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Received:
2022-11-27
Revised:
2023-01-16
Online:
2025-01-15
Published:
2025-02-07
Contact:
Hang LI
通讯作者:
李航
作者简介:
赵沁娜(1978—),女,副教授,博士,研究方向为资源环境经济与政策,E-mail:zhaoqinna@hfut.edu.cn。
Qinna ZHAO, Hang LI. Impact and its mechanism of the carbon emission trading pilot policy on carbon emission intensity:Evidence from Quasi-natural experiment[J]. World Regional Studies, 2025, 34(1): 94-111.
赵沁娜, 李航. 碳交易试点政策对碳排放强度的影响效应与作用机制[J]. 世界地理研究, 2025, 34(1): 94-111.
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URL: https://sjdlyj.ecnu.edu.cn/EN/10.3969/j.issn.1004-9479.2025.01.20222447
解释变量 | 被解释变量:CI | |||
---|---|---|---|---|
(1) | (2) | (3) | (4) | |
DID | -1.344***(0.236) | -1.322***(0.236) | -0.465**(0.204) | -0.536**(0.222) |
AGDP | 1.369**(0.604) | 3.190***(0.825) | ||
UR | -2.883(2.100) | -6.615**(2.748) | ||
PD | 3.648***(0.849) | 5.084***(0.943) | ||
DO | -7.047**(3.284) | -7.291**(3.357) | ||
CS | -1.615***(0.308) | -1.087***(0.347) | ||
ID | -8.180***(0.190) | -0.548*(0.282) | ||
ES | 3.724***(0.742) | 4.208***(0.753) | ||
MG | 0.106(0.417) | -0.509*(0.291) | ||
Cons | 4.557***(0.619) | 4.556***(0.056) | -25.430***(5.743) | -48.141***(9.158) |
Province | 否 | 是 | 是 | 是 |
Year | 否 | 否 | 否 | 是 |
R2 | 0.061 | 0.061 | 0.601 | 0.624 |
Tab.1 Basic regression results of DID Model
解释变量 | 被解释变量:CI | |||
---|---|---|---|---|
(1) | (2) | (3) | (4) | |
DID | -1.344***(0.236) | -1.322***(0.236) | -0.465**(0.204) | -0.536**(0.222) |
AGDP | 1.369**(0.604) | 3.190***(0.825) | ||
UR | -2.883(2.100) | -6.615**(2.748) | ||
PD | 3.648***(0.849) | 5.084***(0.943) | ||
DO | -7.047**(3.284) | -7.291**(3.357) | ||
CS | -1.615***(0.308) | -1.087***(0.347) | ||
ID | -8.180***(0.190) | -0.548*(0.282) | ||
ES | 3.724***(0.742) | 4.208***(0.753) | ||
MG | 0.106(0.417) | -0.509*(0.291) | ||
Cons | 4.557***(0.619) | 4.556***(0.056) | -25.430***(5.743) | -48.141***(9.158) |
Province | 否 | 是 | 是 | 是 |
Year | 否 | 否 | 否 | 是 |
R2 | 0.061 | 0.061 | 0.601 | 0.624 |
解释变量 | 被解释变量:DID | 被解释变量:CI | 被解释变量:CI |
---|---|---|---|
第一阶段 | 第二阶段 | 加入工具变量 | |
DID | -1.360**(0.562) | -0.543**(0.222) | |
AVC | -0.298**(0.142) | -0.687(0.655) | |
Controls | 是 | 是 | 是 |
Province | 是 | 是 | 是 |
Year | 是 | 是 | 是 |
Kleibergen-Paap rk LM | 4.221 | ||
Kleibergen-Paap rk Wald F | 32.385 | ||
Cragg-Donald Wald F | 24.765 | ||
Hansen J | 0 | ||
N | 510 | 510 | 510 |
R2 | 0.075 | 0.533 | 0.625 |
Tab.2 Regression results of instrumental variable
解释变量 | 被解释变量:DID | 被解释变量:CI | 被解释变量:CI |
---|---|---|---|
第一阶段 | 第二阶段 | 加入工具变量 | |
DID | -1.360**(0.562) | -0.543**(0.222) | |
AVC | -0.298**(0.142) | -0.687(0.655) | |
Controls | 是 | 是 | 是 |
Province | 是 | 是 | 是 |
Year | 是 | 是 | 是 |
Kleibergen-Paap rk LM | 4.221 | ||
Kleibergen-Paap rk Wald F | 32.385 | ||
Cragg-Donald Wald F | 24.765 | ||
Hansen J | 0 | ||
N | 510 | 510 | 510 |
R2 | 0.075 | 0.533 | 0.625 |
解释变量 | 被解释变量:CI | 被解释变量:能源强度 | ||
---|---|---|---|---|
反事实检验 | 排除其他政策干扰 | 倾向得分匹配 | 替换被解释变量 | |
DID | -0.164(0.381) | -0.720***(0.225) | -0.186*(0.097) | -0.191***(0.053) |
Controls | 是 | 是 | 是 | 是 |
Cons | -64.272***(9.862) | -69.071***(8.931) | -16.480*(8.875) | -20.052***(1.881) |
Province | 是 | 是 | 是 | 是 |
Year | 是 | 是 | 是 | 是 |
N | 510 | 510 | 184 | 510 |
R2 | 0.627 | 0.665 | 0.879 | 0.829 |
Tab.3 Regression results of robustness test
解释变量 | 被解释变量:CI | 被解释变量:能源强度 | ||
---|---|---|---|---|
反事实检验 | 排除其他政策干扰 | 倾向得分匹配 | 替换被解释变量 | |
DID | -0.164(0.381) | -0.720***(0.225) | -0.186*(0.097) | -0.191***(0.053) |
Controls | 是 | 是 | 是 | 是 |
Cons | -64.272***(9.862) | -69.071***(8.931) | -16.480*(8.875) | -20.052***(1.881) |
Province | 是 | 是 | 是 | 是 |
Year | 是 | 是 | 是 | 是 |
N | 510 | 510 | 184 | 510 |
R2 | 0.627 | 0.665 | 0.879 | 0.829 |
解释变量 | 地理位置 | 环境规制 | 工业基地 | ||||
---|---|---|---|---|---|---|---|
东部 | 中部 | 西部 | 强 | 弱 | 是 | 否 | |
DID | -2.169*** (0.452) | -0.028** (0.012) | 0.122 (0.167) | -0.636** (0.256) | -0.503* (0.291) | -0.532** (0.222) | -0.523* (0.294) |
Controls | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
Cons | -101.906*** (15.653) | 18.630*** (22.934) | -23.514*** (7.588) | -47.581*** (10.870) | -52.023*** (14.424) | -82.420*** (12.986) | -17.112*** (5.580) |
Province | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
Year | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
N | 187 | 170 | 153 | 176 | 334 | 153 | 357 |
R2 | 0.819 | 0.762 | 0.805 | 0.804 | 0.561 | 0.615 | 0.626 |
Fig.4 Regression results of heterogeneity explores
解释变量 | 地理位置 | 环境规制 | 工业基地 | ||||
---|---|---|---|---|---|---|---|
东部 | 中部 | 西部 | 强 | 弱 | 是 | 否 | |
DID | -2.169*** (0.452) | -0.028** (0.012) | 0.122 (0.167) | -0.636** (0.256) | -0.503* (0.291) | -0.532** (0.222) | -0.523* (0.294) |
Controls | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
Cons | -101.906*** (15.653) | 18.630*** (22.934) | -23.514*** (7.588) | -47.581*** (10.870) | -52.023*** (14.424) | -82.420*** (12.986) | -17.112*** (5.580) |
Province | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
Year | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
N | 187 | 170 | 153 | 176 | 334 | 153 | 357 |
R2 | 0.819 | 0.762 | 0.805 | 0.804 | 0.561 | 0.615 | 0.626 |
解释变量 | 市场机制 | 政府干预 | 共同作用 | 绿色金融 | 技术创新 | ||
---|---|---|---|---|---|---|---|
CP | MS | FD | CP×FD | MS×FD | GF | IT | |
DID | -0.208** (0.099) | -0.673** (0.262) | -0.824* (0.490) | -0.789* (0.475) | -1.047*** (0.262) | ||
DID×M | -0.012 (0.010) | -1.333*** (0.463) | -2.483*** (0.836) | -0.157** (0.068) | -0.063* (0.035) | ||
M | -0.879 (3.845) | -2.195*** (0.473) | -0.505*** (0.167) | ||||
CP | -0.006(0.022) | ||||||
MS | -0.956***(0.319) | ||||||
FD | -1.250**(0.568) | -0.900(3.825) | |||||
市场机制×政府干预 | -0.007*(0.004) | -0.326***(0.109) | |||||
Controls | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
Cons | -49.571*** (9.247) | -48.319*** (9.174) | -49.006*** (9.519) | -42.005*** (9.079) | -40.814*** (9.018) | -32.672*** (9.583) | -42.802*** (9.292) |
Province | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
Year | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
N | 510 | 510 | 510 | 510 | 510 | 510 | 510 |
R2 | 0.625 | 0.625 | 0.625 | 0.620 | 0.620 | 0.641 | 0.632 |
Tab.5 Regression results of influence mechanism of carbon emission trading pilot policy on carbon emission intensity
解释变量 | 市场机制 | 政府干预 | 共同作用 | 绿色金融 | 技术创新 | ||
---|---|---|---|---|---|---|---|
CP | MS | FD | CP×FD | MS×FD | GF | IT | |
DID | -0.208** (0.099) | -0.673** (0.262) | -0.824* (0.490) | -0.789* (0.475) | -1.047*** (0.262) | ||
DID×M | -0.012 (0.010) | -1.333*** (0.463) | -2.483*** (0.836) | -0.157** (0.068) | -0.063* (0.035) | ||
M | -0.879 (3.845) | -2.195*** (0.473) | -0.505*** (0.167) | ||||
CP | -0.006(0.022) | ||||||
MS | -0.956***(0.319) | ||||||
FD | -1.250**(0.568) | -0.900(3.825) | |||||
市场机制×政府干预 | -0.007*(0.004) | -0.326***(0.109) | |||||
Controls | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
Cons | -49.571*** (9.247) | -48.319*** (9.174) | -49.006*** (9.519) | -42.005*** (9.079) | -40.814*** (9.018) | -32.672*** (9.583) | -42.802*** (9.292) |
Province | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
Year | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
N | 510 | 510 | 510 | 510 | 510 | 510 | 510 |
R2 | 0.625 | 0.625 | 0.625 | 0.620 | 0.620 | 0.641 | 0.632 |
解释变量 | W1 | W2 | ||||
---|---|---|---|---|---|---|
SEM | SAR | SDM | SEM | SAR | SDM | |
ρ或λ | 0.268***(0.078) | 0.120*(0.070) | 0.232***(0.072) | 0.307**(0.123) | 0.224**(0.090) | 0.163*(0.092) |
DID | -0.618***(0.202) | -0.663***(0.206) | -0.409**(0.206) | -0.659***(0.208) | -0.652***(0.206) | -0.809***(0.212) |
W1×DID | -0.312*(0.173) | |||||
W2×DID | -1.003*(0.582) | |||||
Controls | 是 | 是 | 是 | 是 | 是 | 是 |
直接效应 | -0.658*** (0.212) | -0.424* (0.216) | -0.645*** (0.212) | -0.781*** (0.216) | ||
间接效应 | -0.067* (0.040) | -0.374** (0.178) | -0.053* (0.031) | -0.157*** (0.049) | ||
总效应 | -0.725*** (0.192) | -0.798** (0.380) | -0.698*** (0.218) | -0.938*** (0.235) | ||
Province | 是 | 是 | 是 | 是 | 是 | 是 |
Year | 是 | 是 | 是 | 是 | 是 | 是 |
N | 510 | 510 | 510 | 510 | 510 | 510 |
R2 | 0.649 | 0.675 | 0.737 | 0.699 | 0.696 | 0.753 |
Tab.6 Regression results of spatial spillover effect
解释变量 | W1 | W2 | ||||
---|---|---|---|---|---|---|
SEM | SAR | SDM | SEM | SAR | SDM | |
ρ或λ | 0.268***(0.078) | 0.120*(0.070) | 0.232***(0.072) | 0.307**(0.123) | 0.224**(0.090) | 0.163*(0.092) |
DID | -0.618***(0.202) | -0.663***(0.206) | -0.409**(0.206) | -0.659***(0.208) | -0.652***(0.206) | -0.809***(0.212) |
W1×DID | -0.312*(0.173) | |||||
W2×DID | -1.003*(0.582) | |||||
Controls | 是 | 是 | 是 | 是 | 是 | 是 |
直接效应 | -0.658*** (0.212) | -0.424* (0.216) | -0.645*** (0.212) | -0.781*** (0.216) | ||
间接效应 | -0.067* (0.040) | -0.374** (0.178) | -0.053* (0.031) | -0.157*** (0.049) | ||
总效应 | -0.725*** (0.192) | -0.798** (0.380) | -0.698*** (0.218) | -0.938*** (0.235) | ||
Province | 是 | 是 | 是 | 是 | 是 | 是 |
Year | 是 | 是 | 是 | 是 | 是 | 是 |
N | 510 | 510 | 510 | 510 | 510 | 510 |
R2 | 0.649 | 0.675 | 0.737 | 0.699 | 0.696 | 0.753 |
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