Analysis of CO2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China
Abstract
:1. Introduction
2. Methodology
2.1. Environmental Production Technology
2.2. SBM-Undesirable Model
2.3. Kernel Density Estimation
2.4. Industrial Abatement Model
3. Empirical Study
3.1. Variable Selection
3.2. Data Collection and Treatment
3.3. Comprehensive Analysis of TFICEE
3.3.1. Evaluation of TFICEE
3.3.2. Space-Time Distribution of TFICEE
3.3.3. Distributional Evolution Tendency of TFICEE
3.4. Estimation of Industrial Abatement Potential
4. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
Abbreviations
ICE | Industrial CO2 Emission |
TICE | Target Industrial CO2 Emission |
LICE | Loss Industrial CO2 Emission |
TFICEE | Industrial CO2 Emission Efficiency under Total Factor Frame |
APICE | Abatement Potential of Industrial CO2 Emission |
NCV | Net Caloric Value |
CEF | CO2 Emission Factor |
COF | CO2 Oxidation Factor |
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Variable | Units | |
---|---|---|
Input | Capital | 100 million RMB |
Labor | 10 thousand persons | |
Energy | 10 thousand tons of coal equivalent (10,000 tce) | |
Desirable output | Output | 100 million RMB |
Undesirable output | CO2 | 10 thousand tons |
Year | Inputs | Desirable Output | Undesirable Output | |||
---|---|---|---|---|---|---|
Capital | Labor | Energy | Gross Output | CO2 | ||
2004 | Mean | 1166.19 | 70.56 | 756.68 | 1998.87 | 2764.05 |
Std. dev. | 1286.59 | 68.42 | 568.43 | 2391.31 | 2077.53 | |
Max | 4888.87 | 214.55 | 1715.06 | 8668.20 | 6442.85 | |
Min | 89.03 | 9.47 | 64.50 | 141.26 | 225.17 | |
2007 | Mean | 2223.64 | 79.08 | 1094.03 | 3744.13 | 3968.61 |
Std. dev. | 2604.51 | 84.80 | 860.35 | 3987.14 | 3082.64 | |
Max | 9648.09 | 339.62 | 3206.62 | 14,868.15 | 11,393.35 | |
Min | 258.43 | 18.93 | 112.79 | 402.23 | 412.91 | |
2010 | Mean | 3429.63 | 93.54 | 1312.49 | 6102.25 | 4746.79 |
Std. dev. | 3388.69 | 104.40 | 1077.06 | 5417.12 | 3865.00 | |
Max | 12,752.27 | 419.87 | 3827.07 | 21,624.27 | 13,506.92 | |
Min | 691.38 | 24.69 | 119.41 | 997.69 | 436.33 | |
2013 | Mean | 4397.08 | 88.06 | 1552.22 | 8816.90 | 5574.30 |
Std. dev. | 3852.19 | 75.28 | 1226.26 | 6056.60 | 4392.70 | |
Max | 15,241.85 | 319.60 | 4298.04 | 26,327.21 | 15,028.32 | |
Min | 1339.08 | 25.17 | 180.77 | 2598.40 | 653.84 |
Region | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | Mean |
---|---|---|---|---|---|---|---|---|---|---|---|
NJ | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.843 | 0.621 | 0.552 | 0.492 | 0.584 | 0.809 |
SZ | 1.000 | 1.000 | 1.000 | 1.000 | 0.925 | 0.799 | 0.663 | 0.607 | 0.500 | 0.537 | 0.803 |
WX | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.791 | 0.667 | 0.608 | 0.484 | 0.526 | 0.808 |
CZ | 0.656 | 0.828 | 1.000 | 0.926 | 1.000 | 1.000 | 1.000 | 1.000 | 0.767 | 0.894 | 0.907 |
ZJ | 0.387 | 0.454 | 0.458 | 0.524 | 0.615 | 0.554 | 0.496 | 0.465 | 0.413 | 0.520 | 0.489 |
YZ | 0.473 | 0.766 | 0.764 | 0.679 | 0.797 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.848 |
TZ | 0.777 | 0.867 | 0.907 | 0.913 | 0.927 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.939 |
NT | 0.401 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.669 | 0.620 | 0.547 | 0.647 | 0.788 |
YC | 0.461 | 1.000 | 0.797 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.652 | 0.891 |
HA | 0.404 | 0.474 | 0.517 | 0.519 | 0.532 | 0.552 | 0.692 | 0.592 | 1.000 | 0.774 | 0.606 |
SQ | 0.439 | 0.487 | 0.525 | 0.597 | 0.602 | 0.625 | 1.000 | 1.000 | 1.000 | 1.000 | 0.728 |
XZ | 0.288 | 0.432 | 0.426 | 0.471 | 0.459 | 0.433 | 0.423 | 0.429 | 0.417 | 0.504 | 0.428 |
LYG | 0.229 | 0.402 | 0.413 | 0.442 | 0.494 | 0.558 | 0.673 | 0.768 | 0.900 | 0.829 | 0.571 |
Sunan | 0.809 | 0.856 | 0.892 | 0.890 | 0.908 | 0.797 | 0.689 | 0.646 | 0.531 | 0.612 | 0.763 |
Suzhong | 0.550 | 0.878 | 0.890 | 0.864 | 0.908 | 1.000 | 0.890 | 0.873 | 0.849 | 0.882 | 0.858 |
Subei | 0.364 | 0.559 | 0.536 | 0.606 | 0.617 | 0.634 | 0.758 | 0.758 | 0.863 | 0.752 | 0.645 |
Jiangsu | 0.574 | 0.764 | 0.773 | 0.787 | 0.811 | 0.810 | 0.779 | 0.759 | 0.748 | 0.749 | 0.755 |
Region | Abatement Potential | R1 | Average Annual Actual Emission (104 tons) | Potential Emission Reduction (104 tons) | Abatement Contribution | R2 |
---|---|---|---|---|---|---|
NJ | 0.191 | 9 | 5691.17 | 1085.87 | 6.94% | 5 |
SZ | 0.197 | 7 | 11,637.25 | 2291.37 | 14.64% | 2 |
WX | 0.192 | 8 | 6770.49 | 1302.64 | 8.32% | 4 |
CZ | 0.093 | 12 | 2919.47 | 271.22 | 1.73% | 10 |
ZJ | 0.511 | 2 | 4078.71 | 2085.85 | 13.32% | 3 |
YZ | 0.152 | 10 | 3189.58 | 485.13 | 3.10% | 9 |
TZ | 0.061 | 13 | 2020.65 | 123.06 | 0.79% | 12 |
NT | 0.212 | 6 | 3978.74 | 841.90 | 5.38% | 6 |
YC | 0.109 | 11 | 1812.20 | 197.53 | 1.26% | 11 |
HA | 0.394 | 4 | 2040.33 | 804.70 | 5.14% | 7 |
SQ | 0.273 | 5 | 411.17 | 112.04 | 0.72% | 13 |
XZ | 0.572 | 1 | 9688.79 | 5540.05 | 35.39% | 1 |
LYG | 0.429 | 3 | 1194.37 | 512.62 | 3.27% | 8 |
Sunan | 0.226 | 31,097.09 | 7036.96 | 44.95% | ||
Suzhong | 0.158 | 9188.97 | 1450.09 | 9.26% | ||
Subei | 0.473 | 15,146.85 | 7166.95 | 45.78% | ||
Jiangsu | 0.282 | 55,432.91 | 15,654.00 | 100.00% |
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Zhang, J.; Xing, Z.; Wang, J. Analysis of CO2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China. Sustainability 2016, 8, 697. https://doi.org/10.3390/su8070697
Zhang J, Xing Z, Wang J. Analysis of CO2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China. Sustainability. 2016; 8(7):697. https://doi.org/10.3390/su8070697
Chicago/Turabian StyleZhang, Jie, Zhencheng Xing, and Jigan Wang. 2016. "Analysis of CO2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China" Sustainability 8, no. 7: 697. https://doi.org/10.3390/su8070697