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A peer-reviewed article of this preprint also exists.
This version is not peer-reviewed
Variable Type | Variable name | Mark | Unit | Variable description | Data source |
---|---|---|---|---|---|
Explained Variable | Carbon dioxide emission | TC | 10000 ton |
The effectiveness of emission reduction | China Carbon Accounting Database |
explanatory variable | Gross domestic product | GDP | 0.1 billion yuan |
economic development level |
provincial statistical yearbooks |
Population | P | 10000 people |
The number of permanent residents | provincial statistical yearbooks | |
Low Carbon Technology | LCT | One item | The number of green technologies | CSMAR database | |
Industry structure | IS | % | The ratio of industrial-added value to regional GDP | China Economic Data website | |
Foreign Direct Investment | FDI | % | The ratio of foreign direct investment to regional GDP, the Exchange rate is 0.153 | China Economic Data website | |
Energy Intensity | EI | % | The growth rate of energy consumption per unit of GDP | China Economic Data website, Provincial Report on the Implementation of the National Economic and Social Development Plan | |
Urbanization | UR | % | The ratio of the urban population to the total population | China Economic Data website |
Decoupling types | Indicator | ||
---|---|---|---|
GDP | |||
Strong decoupling | <0 | >0 | (-∞,0) |
Weak decoupling | >0 | >0 | (0,0.8) |
Expansive negative decoupling | >0 | >0 | (0.8,∞) |
Decoupling types | City |
---|---|
Strong decoupling | Huzhou, Lishui, Ningbo, Quzhou, Taizhou, Wenzhou, Nantong, Yancheng, Yangzhou, Anqing, Chizhou, Ma'anshan, Suzhou, Xuancheng, Tongling |
Weak decoupling | Shanghai, Hangzhou, Jiaxing, Jinhua, Shaoxing, Changzhou, Lianyungang, Nanjing, Wuxi, Bengbu, Fuyang, Hefei, Huainan, Huangshan |
Expansive negative decoupling | Zhoushan, Suzhou, Suqian, Xuzhou, Zhenjiang, Lu'an, Wuhu |
Types of Carbon emission intensity | City |
---|---|
High carbon emission intensity (ES>1) | Ningbo, Quzhou, Zhoushan, Nanjing, Suzhou, Xuzhou, Zhenjiang, Anqing, Chizhou, Huainan, Ma'anshan, Suzhou, Wuhu, Xuancheng, Tongling |
Low carbon emission intensity (0<ES<1) | Shanghai, Hangzhou, Huzhou, Jiaxing, Lishui, Jinhua, Shaoxing, Taizhou, Wenzhou, Changzhou, Lianyungang, Nantong, Suqian, Wuxi, Yancheng, Yangzhou, Bengbu, Fuyang, Hefei, Huangshan, Lu'an |
Indicators | Tapio decoupling coefficient | ||
---|---|---|---|
<0 | <0.8 | >0.8 | |
High carbon emission intensity (ES>1) | Type IV(High-carbon, negative growth) | Type V(High-carbon , low growth ) | Type VI(High-carbon, high growth) |
Low carbon emission intensity (0<ES<1) | Type I(Low-carbon, negative growth) | Type II(Low-carbon , low growth ) | Type III(Low-carbon , high growth ) |
Variable | LLC test | Result | |
---|---|---|---|
Statistic | P-value | ||
lnTC | -6.84324 | 0.0000 | Stationary |
lnP | -33.8807 | 0.0000 | Stationary |
lnPGDP | -10.9294 | 0.0000 | Stationary |
lnLCT | -10.6621 | 0.0000 | Stationary |
lnIS | -5.74237 | 0.0000 | Stationary |
lnFDI | -6.18488 | 0.0000 | Stationary |
lnUR | -5.22267 | 0.0000 | Stationary |
EI | -11.0908 | 0.0000 | Stationary |
ADF | t-Statistic | Prob. |
-7.370456 | 0.0000 | |
Residual variance | 0.071730 | |
HAC variance | 0.052136 |
Variable | lnTC | |||||
---|---|---|---|---|---|---|
Type I | Type II | Type III | Type IV | Type V | Type VI | |
lnP | 0.538*** | 0.942*** | 2.544 | 0.667*** | 1.028 | 0.894*** |
(0.102) | (0.109) | (7.836) | (0.095) | (0.638) | (0.088) | |
lnPGDP | 0.819*** | 1.113*** | 1.708 | 1.318*** | 1.380*** | 0.516 |
(0.200) | (0.197) | (1.027) | (0.383) | (0.460) | (0.351) | |
lnLCT | 0.343*** | 0.081* | -0.175 | 0.023 | -0.472** | 0.094 |
(0.108) | (0.190) | (0.197) | (0.084) | (0.218) | (0.071) | |
lnIS | 0.501 | 0.152 | -1.354 | 0.316 | -0.645 | 0.645*** |
(0.351) | (0.147) | (2.262) | (0.286) | (0.882) | (0.175) | |
lnFDI | -0.037 | 0.093** | -0.040 | -0.037 | 0.811*** | -0.210*** |
(0.056) | (0.046) | (3.363) | (0.054) | (0.276) | (0.063) | |
lnUR | 0.875 | -0.452 | 0.499 | -0.049 | -0.104 | 1.135* |
(0.872) | (0.378) | (2.765) | (0.864) | (1.663) | (1.020) | |
EI | 0.048*** | 0.027*** | 0.042 | 0.019 | -0.039 | 0.029** |
(0.013) | (0.012) | (0.041) | (0.017) | (0.043) | (0.015) | |
Constant | -13.113*** | -10.889* | -23.438 | -12.626*** | -9.120 | -11.545*** |
(3.861) | (1.888) | (40.709) | (2.185) | (5.450) | (2.030) | |
FE | YES | YES | YES | YES | YES | YES |
TE | YES | YES | YES | YES | YES | YES |
N | 84 | 144 | 24 | 96 | 24 | 60 |
0.868 | 0.924 | 0.910 | 0.861 | 0.965 | 0.959 | |
DW | 1.316 | 0.811 | 1.897 | 0.784 | 1.697 | 1.940 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
Submitted:
28 August 2023
Posted:
29 August 2023
You are already at the latest version
A peer-reviewed article of this preprint also exists.
This version is not peer-reviewed
Submitted:
28 August 2023
Posted:
29 August 2023
You are already at the latest version
Variable Type | Variable name | Mark | Unit | Variable description | Data source |
---|---|---|---|---|---|
Explained Variable | Carbon dioxide emission | TC | 10000 ton |
The effectiveness of emission reduction | China Carbon Accounting Database |
explanatory variable | Gross domestic product | GDP | 0.1 billion yuan |
economic development level |
provincial statistical yearbooks |
Population | P | 10000 people |
The number of permanent residents | provincial statistical yearbooks | |
Low Carbon Technology | LCT | One item | The number of green technologies | CSMAR database | |
Industry structure | IS | % | The ratio of industrial-added value to regional GDP | China Economic Data website | |
Foreign Direct Investment | FDI | % | The ratio of foreign direct investment to regional GDP, the Exchange rate is 0.153 | China Economic Data website | |
Energy Intensity | EI | % | The growth rate of energy consumption per unit of GDP | China Economic Data website, Provincial Report on the Implementation of the National Economic and Social Development Plan | |
Urbanization | UR | % | The ratio of the urban population to the total population | China Economic Data website |
Decoupling types | Indicator | ||
---|---|---|---|
GDP | |||
Strong decoupling | <0 | >0 | (-∞,0) |
Weak decoupling | >0 | >0 | (0,0.8) |
Expansive negative decoupling | >0 | >0 | (0.8,∞) |
Decoupling types | City |
---|---|
Strong decoupling | Huzhou, Lishui, Ningbo, Quzhou, Taizhou, Wenzhou, Nantong, Yancheng, Yangzhou, Anqing, Chizhou, Ma'anshan, Suzhou, Xuancheng, Tongling |
Weak decoupling | Shanghai, Hangzhou, Jiaxing, Jinhua, Shaoxing, Changzhou, Lianyungang, Nanjing, Wuxi, Bengbu, Fuyang, Hefei, Huainan, Huangshan |
Expansive negative decoupling | Zhoushan, Suzhou, Suqian, Xuzhou, Zhenjiang, Lu'an, Wuhu |
Types of Carbon emission intensity | City |
---|---|
High carbon emission intensity (ES>1) | Ningbo, Quzhou, Zhoushan, Nanjing, Suzhou, Xuzhou, Zhenjiang, Anqing, Chizhou, Huainan, Ma'anshan, Suzhou, Wuhu, Xuancheng, Tongling |
Low carbon emission intensity (0<ES<1) | Shanghai, Hangzhou, Huzhou, Jiaxing, Lishui, Jinhua, Shaoxing, Taizhou, Wenzhou, Changzhou, Lianyungang, Nantong, Suqian, Wuxi, Yancheng, Yangzhou, Bengbu, Fuyang, Hefei, Huangshan, Lu'an |
Indicators | Tapio decoupling coefficient | ||
---|---|---|---|
<0 | <0.8 | >0.8 | |
High carbon emission intensity (ES>1) | Type IV(High-carbon, negative growth) | Type V(High-carbon , low growth ) | Type VI(High-carbon, high growth) |
Low carbon emission intensity (0<ES<1) | Type I(Low-carbon, negative growth) | Type II(Low-carbon , low growth ) | Type III(Low-carbon , high growth ) |
Variable | LLC test | Result | |
---|---|---|---|
Statistic | P-value | ||
lnTC | -6.84324 | 0.0000 | Stationary |
lnP | -33.8807 | 0.0000 | Stationary |
lnPGDP | -10.9294 | 0.0000 | Stationary |
lnLCT | -10.6621 | 0.0000 | Stationary |
lnIS | -5.74237 | 0.0000 | Stationary |
lnFDI | -6.18488 | 0.0000 | Stationary |
lnUR | -5.22267 | 0.0000 | Stationary |
EI | -11.0908 | 0.0000 | Stationary |
ADF | t-Statistic | Prob. |
-7.370456 | 0.0000 | |
Residual variance | 0.071730 | |
HAC variance | 0.052136 |
Variable | lnTC | |||||
---|---|---|---|---|---|---|
Type I | Type II | Type III | Type IV | Type V | Type VI | |
lnP | 0.538*** | 0.942*** | 2.544 | 0.667*** | 1.028 | 0.894*** |
(0.102) | (0.109) | (7.836) | (0.095) | (0.638) | (0.088) | |
lnPGDP | 0.819*** | 1.113*** | 1.708 | 1.318*** | 1.380*** | 0.516 |
(0.200) | (0.197) | (1.027) | (0.383) | (0.460) | (0.351) | |
lnLCT | 0.343*** | 0.081* | -0.175 | 0.023 | -0.472** | 0.094 |
(0.108) | (0.190) | (0.197) | (0.084) | (0.218) | (0.071) | |
lnIS | 0.501 | 0.152 | -1.354 | 0.316 | -0.645 | 0.645*** |
(0.351) | (0.147) | (2.262) | (0.286) | (0.882) | (0.175) | |
lnFDI | -0.037 | 0.093** | -0.040 | -0.037 | 0.811*** | -0.210*** |
(0.056) | (0.046) | (3.363) | (0.054) | (0.276) | (0.063) | |
lnUR | 0.875 | -0.452 | 0.499 | -0.049 | -0.104 | 1.135* |
(0.872) | (0.378) | (2.765) | (0.864) | (1.663) | (1.020) | |
EI | 0.048*** | 0.027*** | 0.042 | 0.019 | -0.039 | 0.029** |
(0.013) | (0.012) | (0.041) | (0.017) | (0.043) | (0.015) | |
Constant | -13.113*** | -10.889* | -23.438 | -12.626*** | -9.120 | -11.545*** |
(3.861) | (1.888) | (40.709) | (2.185) | (5.450) | (2.030) | |
FE | YES | YES | YES | YES | YES | YES |
TE | YES | YES | YES | YES | YES | YES |
N | 84 | 144 | 24 | 96 | 24 | 60 |
0.868 | 0.924 | 0.910 | 0.861 | 0.965 | 0.959 | |
DW | 1.316 | 0.811 | 1.897 | 0.784 | 1.697 | 1.940 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
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