

World Regional Studies ›› 2026, Vol. 35 ›› Issue (6): 122-137.DOI: 10.3969/j.issn.1004-9479.2026.06.20250479
Jiaqi DAI(
), Jingluan YANG, Mengzhu ZHANG(
)
Received:2025-06-16
Revised:2025-11-20
Online:2026-06-15
Published:2026-06-26
Contact:
Mengzhu ZHANG
通讯作者:
张梦竹
作者简介:戴佳祺(2001—),女,硕士研究生,研究方向为城市地理、城市发展,E-mail:2301212633@stu.pku.edu.cn。
基金资助:Jiaqi DAI, Jingluan YANG, Mengzhu ZHANG. How do the path breakthrough and place breakthrough of technological innovation affect the green transition? In the case of China's four major urban agglomerations[J]. World Regional Studies, 2026, 35(6): 122-137.
戴佳祺, 杨静銮, 张梦竹. 技术创新的路径突破与地方突破如何影响绿色转型——以中国四大城市群为例[J]. 世界地理研究, 2026, 35(6): 122-137.
| 变量类型 | 变量符号 | 变量描述 | 构成公式 |
|---|---|---|---|
| 因变量 | Tran | 城市绿色全要素生产率 | 2.3.4公式计算 |
| 解释变量 | PaRG | 城市转型路径具有突破性 | 2.3.3公式计算 |
| PlRG | 城市转型具有地方性和突破性 | 2.3.3公式计算 | |
| 控制变量 | eco | 地方经济发展水平 | 人均地区生产总值的对数 |
| pop | 地方人口数量 | 地方人口数量的对数 | |
| 调节变量 | env | 地方环境规制程度 | 工业污染治理完成投资额/工业增加值 |
Tab. 1 Variable information description
| 变量类型 | 变量符号 | 变量描述 | 构成公式 |
|---|---|---|---|
| 因变量 | Tran | 城市绿色全要素生产率 | 2.3.4公式计算 |
| 解释变量 | PaRG | 城市转型路径具有突破性 | 2.3.3公式计算 |
| PlRG | 城市转型具有地方性和突破性 | 2.3.3公式计算 | |
| 控制变量 | eco | 地方经济发展水平 | 人均地区生产总值的对数 |
| pop | 地方人口数量 | 地方人口数量的对数 | |
| 调节变量 | env | 地方环境规制程度 | 工业污染治理完成投资额/工业增加值 |
| 变量 | 均值 | 标准差 | 最大值 | 最小值 | 方差膨胀因子 |
|---|---|---|---|---|---|
| Tran | 1.031 | 0.043 | 1.214 | 0.938 | - |
| PaRG | 0.272 | 0.151 | 0.690 | 0.023 | 4.450 |
| PlRG | 0.011 | 0.024 | 0.142 | 0.000 | 2.030 |
| eco | 11.048 | 0.576 | 12.175 | 9.779 | 2.090 |
| pop | 6.281 | 0.710 | 8.072 | 4.294 | 1.710 |
| env | 0.941 | 0.255 | 3.295 | 0.444 | 2.260 |
Tab. 2 Descriptive statistics for variables
| 变量 | 均值 | 标准差 | 最大值 | 最小值 | 方差膨胀因子 |
|---|---|---|---|---|---|
| Tran | 1.031 | 0.043 | 1.214 | 0.938 | - |
| PaRG | 0.272 | 0.151 | 0.690 | 0.023 | 4.450 |
| PlRG | 0.011 | 0.024 | 0.142 | 0.000 | 2.030 |
| eco | 11.048 | 0.576 | 12.175 | 9.779 | 2.090 |
| pop | 6.281 | 0.710 | 8.072 | 4.294 | 1.710 |
| env | 0.941 | 0.255 | 3.295 | 0.444 | 2.260 |
| 变量 | Tran | PaRG | PlRG | eco | pop | env |
|---|---|---|---|---|---|---|
| Tran | 1 | |||||
| PaRG | 0.305 | 1 | ||||
| PlRG | 0.204 | 0.700 | 1 | |||
| eco | 0.483 | 0.689 | 0.405 | 1 | ||
| pop | 0.095 | 0.6134 | 0.410 | 0.285 | 1 | |
| env | 0.017 | 0.057 | -0.023 | 0.114 | 0.044 | 1 |
Tab. 3 Correlation between variables
| 变量 | Tran | PaRG | PlRG | eco | pop | env |
|---|---|---|---|---|---|---|
| Tran | 1 | |||||
| PaRG | 0.305 | 1 | ||||
| PlRG | 0.204 | 0.700 | 1 | |||
| eco | 0.483 | 0.689 | 0.405 | 1 | ||
| pop | 0.095 | 0.6134 | 0.410 | 0.285 | 1 | |
| env | 0.017 | 0.057 | -0.023 | 0.114 | 0.044 | 1 |
| 变量 | (1) 所有城市群 | (2) 珠三角城市群 | (3) 京津冀城市群 | (4) 长三角城市群 | (5) 成渝城市群 |
|---|---|---|---|---|---|
| 0.081*(0.047) | 0.110*(0.058) | -0.114(0.076) | -0.088(0.101) | 0.243*(0.121) | |
| 0.034(0.311) | -0.021(0.253) | 0.472*(0.253) | -1.167***(0.368) | 0.717***(0.196) | |
| eco | 0.018(0.057) | -0.097(0.061) | -0.047(0.076) | 0.042(0.059) | -0.391(0.112) |
| pop | 0.0064(0.039) | -0.049(0.035) | -0.015(0.099) | 0.055(0.056) | -0.082(0.137) |
| 观测值 | 195 | 27 | 39 | 81 | 48 |
| 固定效应拟合度 | 0.509 | 0.742 | 0.557 | 0.758 | 0.622 |
| 常数项 | 是 | 是 | 是 | 是 | 是 |
| 个体固定效应 | 是 | 是 | 是 | 是 | 是 |
| 时间固定效应 | 是 | 是 | 是 | 是 | 是 |
Tab. 4 The results of a multiple regression
| 变量 | (1) 所有城市群 | (2) 珠三角城市群 | (3) 京津冀城市群 | (4) 长三角城市群 | (5) 成渝城市群 |
|---|---|---|---|---|---|
| 0.081*(0.047) | 0.110*(0.058) | -0.114(0.076) | -0.088(0.101) | 0.243*(0.121) | |
| 0.034(0.311) | -0.021(0.253) | 0.472*(0.253) | -1.167***(0.368) | 0.717***(0.196) | |
| eco | 0.018(0.057) | -0.097(0.061) | -0.047(0.076) | 0.042(0.059) | -0.391(0.112) |
| pop | 0.0064(0.039) | -0.049(0.035) | -0.015(0.099) | 0.055(0.056) | -0.082(0.137) |
| 观测值 | 195 | 27 | 39 | 81 | 48 |
| 固定效应拟合度 | 0.509 | 0.742 | 0.557 | 0.758 | 0.622 |
| 常数项 | 是 | 是 | 是 | 是 | 是 |
| 个体固定效应 | 是 | 是 | 是 | 是 | 是 |
| 时间固定效应 | 是 | 是 | 是 | 是 | 是 |
| 变量 | (1) 所有城市群 | (2) 珠三角城市群 | (3) 京津冀城市群 | (4) 长三角城市群 | (5) 成渝城市群 |
|---|---|---|---|---|---|
| 0.096*(0.051) | -1.769(0.182) | -0.066(0.085) | -0.134(0.095) | 0.259*(0.137) | |
| -0.192*(0.243) | 1.139*(0.542) | 0.445**(0.196) | -1.221***(0.345) | -0.203(0.677) | |
| env | -0.028**(0.013) | -0.078*(0.036) | -0.001***(0.014) | 0.009(0.036) | -0.104*(0.056) |
| PaRG×env | 0.359*(0.181) | -1.652(0.930) | -0.637**(0.286) | 0.599**(0.237) | 0.478**(0.219) |
| PlRG×env | -1.931*(1.073) | 6.336*(3.393) | -0.497(1.504) | -8.596*(4.516) | -3.679(2.290) |
| eco | 0.029**(0.062) | -0.169***(0.041) | 0.192(0.116) | 0.092(0.066) | -0.319**(0.110) |
| pop | 0.079**(0.037) | -0.087(0.061) | 0.020**(0.058) | 0.060(0.055) | 0.024(0.121) |
| 观测值 | 195 | 27 | 39 | 81 | 48 |
| 固定效应拟合度 | 0.549 | 0.862 | 0.714 | 0.806 | 0.719 |
| 常数项 | 是 | 是 | 是 | 是 | 是 |
| 个体固定效应 | 是 | 是 | 是 | 是 | 是 |
| 时间固定效应 | 是 | 是 | 是 | 是 | 是 |
Tab. 5 Results of the moderating variable
| 变量 | (1) 所有城市群 | (2) 珠三角城市群 | (3) 京津冀城市群 | (4) 长三角城市群 | (5) 成渝城市群 |
|---|---|---|---|---|---|
| 0.096*(0.051) | -1.769(0.182) | -0.066(0.085) | -0.134(0.095) | 0.259*(0.137) | |
| -0.192*(0.243) | 1.139*(0.542) | 0.445**(0.196) | -1.221***(0.345) | -0.203(0.677) | |
| env | -0.028**(0.013) | -0.078*(0.036) | -0.001***(0.014) | 0.009(0.036) | -0.104*(0.056) |
| PaRG×env | 0.359*(0.181) | -1.652(0.930) | -0.637**(0.286) | 0.599**(0.237) | 0.478**(0.219) |
| PlRG×env | -1.931*(1.073) | 6.336*(3.393) | -0.497(1.504) | -8.596*(4.516) | -3.679(2.290) |
| eco | 0.029**(0.062) | -0.169***(0.041) | 0.192(0.116) | 0.092(0.066) | -0.319**(0.110) |
| pop | 0.079**(0.037) | -0.087(0.061) | 0.020**(0.058) | 0.060(0.055) | 0.024(0.121) |
| 观测值 | 195 | 27 | 39 | 81 | 48 |
| 固定效应拟合度 | 0.549 | 0.862 | 0.714 | 0.806 | 0.719 |
| 常数项 | 是 | 是 | 是 | 是 | 是 |
| 个体固定效应 | 是 | 是 | 是 | 是 | 是 |
| 时间固定效应 | 是 | 是 | 是 | 是 | 是 |
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