Journal of Information Systems Engineering and Management

Research on Carbon Emission Allocation in Urban Public Buildings in Guangxi
Chen Chen 1 * , Boi-Yee Liao 2
More Detail
1 Ph.D candidate, Department of Engineering, International College, Krirk University, Bangkok, Thailand
2 Doctor, Assistant Professor, Graduate Program of Engineering Technology Management, International College, Krirk University, Bangkok, Thailand
* Corresponding Author
Research Article

Journal of Information Systems Engineering and Management, 2023 - Volume 8 Issue 1, Article No: 25352
https://doi.org/10.55267/iadt.07.14722

Published Online: 31 Jan 2023

Views: 78 | Downloads: 34

How to cite this article
APA 6th edition
In-text citation: (Chen & Liao, 2023)
Reference: Chen, C., & Liao, B.-Y. (2023). Research on Carbon Emission Allocation in Urban Public Buildings in Guangxi. Journal of Information Systems Engineering and Management, 8(1), 25352. https://doi.org/10.55267/iadt.07.14722
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Chen C, Liao BY. Research on Carbon Emission Allocation in Urban Public Buildings in Guangxi. J INFORM SYSTEMS ENG. 2023;8(1):25352. https://doi.org/10.55267/iadt.07.14722
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Chen C, Liao BY. Research on Carbon Emission Allocation in Urban Public Buildings in Guangxi. J INFORM SYSTEMS ENG. 2023;8(1), 25352. https://doi.org/10.55267/iadt.07.14722
Chicago
In-text citation: (Chen and Liao, 2023)
Reference: Chen, Chen, and Boi-Yee Liao. "Research on Carbon Emission Allocation in Urban Public Buildings in Guangxi". Journal of Information Systems Engineering and Management 2023 8 no. 1 (2023): 25352. https://doi.org/10.55267/iadt.07.14722
Harvard
In-text citation: (Chen and Liao, 2023)
Reference: Chen, C., and Liao, B.-Y. (2023). Research on Carbon Emission Allocation in Urban Public Buildings in Guangxi. Journal of Information Systems Engineering and Management, 8(1), 25352. https://doi.org/10.55267/iadt.07.14722
MLA
In-text citation: (Chen and Liao, 2023)
Reference: Chen, Chen et al. "Research on Carbon Emission Allocation in Urban Public Buildings in Guangxi". Journal of Information Systems Engineering and Management, vol. 8, no. 1, 2023, 25352. https://doi.org/10.55267/iadt.07.14722
ABSTRACT
Currently, the allocation of carbon emissions in public buildings in China is mainly concentrated at the provincial level. This paper uses a hybrid research method of entropy method and data envelopment analysis under zero-sum games to study the allocation of carbon emissions in public buildings among different cities in Guangxi province. This method is flexible and comprehensive, taking into account various factors. Finally, through calculations, the feasibility of this method is verified, and the allocation of carbon emissions in urban public buildings in Guangxi province, under the condition of fixed total carbon emission, is determined. Among them, Nanning and Liuzhou can increase their carbon emission quotas by 96.8% and 91.6%, respectively, to improve economic efficiency and achieve the highest efficiency in carbon emission investment. On the other hand, baise needs to significantly reduce its carbon emission quota by 82.9% due to its lower efficiency. Guigang city, because of the balance between carbon emission investment and the current economic scale, requires a smaller adjustment, within 10%. This approach will help the government's efforts to reduce carbon emissions.
KEYWORDS
REFERENCES
  • Anex, R. P., Lund, J. R., & Grant, R. (1999). A maximum entropy approach to estimating emissions. Journal of the Air & Waste Management Association, 49(8), 943-950. https://doi.org/10.1080/10473289.1999.10463859
  • Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
  • Cai, W. (2011). Analysis model and empirical study of influencing factors of building energy consumption in China (Doctoral dissertation, Chongqing University, Chongqing, China). Retrieved from https://kns.cnki.net/kcms2/article/abstract?v=S5uBaE2M3OfevGqX0Heza0aEHdm6M1x8WYLyCafaycBpFnHpM76T7hBea3vY7QgDOgqaYpwUDdjJs1i6wPvwr_QT4LD3sH9Q4ZCwlC7b8IbPB-RhWx-Faev8bYKd5UqjqVAaphHZOKadHKyA6xPMKQ==&uniplatform=NZKPT&language=CHS
  • Cai, W., & Ye, P. (2019). A more scientific allocation scheme of carbon dioxide emissions allowances: The case from China. Journal of Cleaner Production, 215, 903-912. https://doi.org/10.1016/j.jclepro.2019.01.043
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  • Chiu, Y. H., Lin, J. C., Hsu, C. C., & Lee, J. W. (2013). Carbon emission allowances of efficiency analysis: Application of super SBM ZSG-DEA model. Polish Journal of Environmental Studies, 22(3), 653-666.
  • Chiu, Y. H., Lin, J. C., Su, W. N., & Liu, J. K. (2015). An efficiency evaluation of the EU's allocation of carbon emission allowances. Energy Sources, Part B: Economics, Planning, and Policy, 10(2), 192-200. https://doi.org/10.1080/15567249.2010.527900
  • Cucchiella, F., D'Adamo, I., Gastaldi, M., & Miliacca, M. (2018). Efficiency and allocation of emission allowances and energy consumption over more sustainable European economies. Journal of Cleaner Production, 182, 805-817. https://doi.org/10.1016/j.jclepro.2018.02.079
  • Fang, K., Zhang, Q., Long, Y., Yoshida, Y., Sun, L., Zhang, H., . . . Li, S. (2019). How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China's carbon emission allowance. Applied Energy, 241, 380-389. https://doi.org/10.1016/j.apenergy.2019.03.055
  • Gao, C. (2018). Research on China's carbon pricing under emission reduction and economic structural adjustment conditions (Master's thesis, Jilin University, Changchun, China). Retrieved from https://kns.cnki.net/kcms2/article/abstract?v=S5uBaE2M3OeqBXNuCTBY45k5YBvsGp-qrI1XulGYr9swSuZQdGxdmVyuR961Pe7mbwgInoGjXut1_vtG4nZBAmQJyAFqPf4b27rSNrvuH4XpoKiEfdiBPy6QMcS3HL9vrsErCDxESE_JPxCq-0Q_Yw==&uniplatform=NZKPT&language=CHS
  • Gomes, E. G., & Lins, M. P. E. (2008). Modelling undesirable outputs with zero sum gains data envelopment analysis models. Journal of the Operational Research Society, 59(5), 616-623. https://doi.org/10.1057/palgrave.jors.2602384
  • Han, R., Yu, B. Y., Tang, B. J., Liao, H., & Wei, Y. M. (2017). Carbon emissions quotas in the Chinese road transport sector: A carbon trading perspective. Energy Policy, 106, 298-309. https://doi.org/10.1016/j.enpol.2017.03.071
  • Jiang, H. (2019). Research on initial allocation of carbon emission permits (Doctoral dissertation, Zhejiang University of Technology, Hangzhou, China). Retrieved from https://kns.cnki.net/kcms2/article/abstract?v=vYzgd5_tBo8xumpI-3zv8TPFJzeXxIzOM5_Uk8DtV_zeFDLe-YsgWqu1YD4cH_5_NySOjIZ7xUuXr30RU4H0saipxQG7H5QSOVK3uzV66REw3dk6S1nEoJdhv0qtPkPAkihs73VGoeYgpv7OwLzoZw==&uniplatform=NZKPT&language=CHS
  • Jiang, X. (2012). Research on carbon emission prediction and factor decomposition of large public buildings in China (Master's thesis, Ocean University of China, Qingdao, China). Retrieved from https://kns.cnki.net/kcms2/article/abstract?v=S5uBaE2M3Oc77Mk43Uj31ZiGV4m9I6iVMBOBemO0QPGjknwSdbhz30NGm61xcu74nm9Wtlj5QmRpXDCm3i3Qre1c6MNHvZt6GYJVQ3x7WVf9KOec6dK2TCoS0yXaHByYiU8AvRA6ZauAaD9l-qKPUA==&uniplatform=NZKPT&language=CHS
  • Li, J., You, S., Zhang, H., & Xie, Z. (2012). Research on energy efficiency trading baseline of office buildings in Tianjin. Building Science, 28(10), 29-33 & 67.
  • Li, L., Li, X., Sun, Y., & Xie, Y. (2022). Rational design of electrocatalytic carbon dioxide reduction for a zero-carbon network. Chemical Society Reviews, 51(4), 1234-1252. https://doi.org/10.1039/D1CS00893E
  • Liao, Z. (2016). Carbon emission trading: Principles and practice. Shanghai: Tongji University Press.
  • Lins, M. P. E., Gomes, E. G., de Mello, J. C. C. S., & de Mello, A. J. R. S. (2003). Olympic ranking based on a zero sum gains DEA model. European Journal of Operational Research, 148(2), 312-322. https://doi.org/10.1016/S0377-2217(02)00687-2
  • Liu, X., Wu, Y., & Chen, X. (2013). Research on the development status of China's building carbon emission trading system. Urban Development Studies, 21(8), 64-69.
  • Miao, Z., Geng, Y., & Sheng, J. (2016). Efficient allocation of CO2 emissions in China: A zero sum gains data envelopment model. Journal of Cleaner Production, 112, 4144-4150. https://doi.org/10.1016/j.jclepro.2015.07.035
  • Ministry of Ecology and Environment of the People's Republic of China. (2020). 2019: Report on the state of the ecology and environment in China. Retrieved from https://english.mee.gov.cn/Resources/Reports/soe/SOEE2019/202012/P020201215587453898053.pdf
  • Pan, L. (2015). Impact factors and mechanism of construction carbon emissions trading (Master's thesis, Nanjing Tech University, Nanjing, China). Retrieved from https://kns.cnki.net/kcms2/article/abstract?v=vYzgd5_tBo9P2pjXfls2CfDEHz5wO-HB9_V_Nx9563YSc0ndFIUFF9nCgFKSgab9h1TAXjzbm_c_3K2os3xaI33KKr4JVV8NdVIo1z_2W943CEiOST__4Is7y66MYpCrQoBwhEVg_BaBXePALaWxOw==&uniplatform=NZKPT&language=CHS
  • Pang, R. Z., Deng, Z. Q., & Chiu, Y. H. (2015). Pareto improvement through a reallocation of carbon emission quotas. Renewable and Sustainable Energy Reviews, 50, 419-430. https://doi.org/10.1016/j.rser.2015.05.022
  • Qu, S., Xu, Y., Ji, Y., Feng, C., Wei, J., & Jiang, S. (2022). Data-driven robust data envelopment analysis for evaluating the carbon emissions efficiency of provinces in China. Sustainability, 14(20), 13318. https://doi.org/10.3390/su142013318
  • Remuzgo, L., Trueba, C., & Sarabia, J. M. (2016). Evolution of the global inequality in greenhouse gases emissions using multidimensional generalized entropy measures. Physica A: Statistical Mechanics and its Applications, 444, 146-157. https://doi.org/10.1016/j.physa.2015.10.017
  • Ruan, S. (2017). Research on the currency model of carbon emission trading in urban transportation systems (Master's thesis, Chongqing Jiaotong University, Chongqing, China). Retrieved from https://kns.cnki.net/kcms2/article/abstract?v=S5uBaE2M3Oe8nE5QZO0xyMFC1CkeEJlw58-RmbpIay-kUEYqsiz-ytr6VVDzxJb6273uEAxZRDWynzqZ4KcCdWTfKV0kxD9gR5yTi4fZyVnzF898dAhbCBlD97nRzx8oWnDqXYPt9e4ucp75_Ojinw==&uniplatform=NZKPT&language=CHS
  • Sabolová, R., Sečkárová, V., Dušek, J., & Stehlík, M. (2015). Entropy based statistical inference for methane emissions released from wetland. Chemometrics and Intelligent Laboratory Systems, 141, 125-133. https://doi.org/10.1016/j.chemolab.2014.12.008
  • Science and Technology Development Promotion Center of the Ministry of Housing and Urban-Rural Development. (2013). Feasibility study on establishment of carbon trading scheme in building sector in China. Retrieved from https://www.efchina.org/Attachments/Report/report-20130330-zh/%E4%B8%AD%E5%9B%BD%E5%BB%BA%E7%AD%91%E8%A1%8C%E4%B8%9A%E7%A2%B3%E6%8E%92%E6%94%BE%E6%9D%83%E4%BA%A4%E6%98%93%E5%88%B6%E5%BA%A6%E5%8F%AF%E8%A1%8C%E6%80%A7%E7%A0%94%E7%A9%B6.pdf/at_download/file
  • Suh, D. H. (2018). An entropy approach to regional differences in carbon dioxide emissions: Implications for ethanol usage. Sustainability, 10(1), 243. https://doi.org/10.3390/su10010243
  • Sun, Y. (2021). Research on the allocation of carbon emission quotas for urban public buildings in China (Master's thesis, Beijing Jiaotong University, Beijing, China). Retrieved from https://kns.cnki.net/kcms2/article/abstract?v=vYzgd5_tBo-6ee50CJMiUK3gaDQnQ7zNQyV0UvuQWy12wu55-jaCSNfUL13Gx0IMrqhNFp4xNmg8NRBfvxB-E8vaSkaRayR22pT6010qlWy2DNE_i8NWjSFcZjzCoEhJ5S_IZ2D3c6wjdSoOreEBkg==&uniplatform=NZKPT&language=CHS
  • Tan, X., Lai, H., Gu, B., Zeng, Y., & Li, H. (2018). Carbon emission and abatement potential outlook in China's building sector through 2050. Energy Policy, 118, 429-439. https://doi.org/10.1016/j.enpol.2018.03.072
  • Wang, K., Zhang, X., Wei, Y. M., & Yu, S. (2013). Regional allocation of CO2 emissions allowance over provinces in China by 2020. Energy Policy, 54, 214-229. https://doi.org/10.1016/j.enpol.2012.11.030
  • Wei, Q. (2004). Data envelopment analysis. Beijing, China: Science Press.
  • Wu, H., Du, S., Liang, L., & Zhou, Y. (2013). A DEA-based approach for fair reduction and reallocation of emission permits. Mathematical and Computer Modelling, 58(5-6), 1095-1101. https://doi.org/10.1016/j.mcm.2012.03.008
  • Wu, J. K. (2012). Urban scale, structure, and carbon emissions (Doctoral dissertation, Fudan University, Shanghai). Retrieved from https://kns.cnki.net/kcms2/article/abstract?v=b4E8SuETvlKLsmjQCYY9agFhoYumPqFgN0m4mjgEx3vfKlcbv81Pd5w5it-8AhO4Yd5wp0LZ5dvRuBBoZUd6tc1BAuLiI8KKRUO4XnLP4UiloCfPZg5R8OJLB4eX_FVuYs8mX3Lh7F5ZF20-Xfg-Pw==&uniplatform=NZKPT&language=CHS
  • Xiang, Q. (2013). Research on the inter-industry allocation of China's carbon emissions total (Doctoral dissertation, Capital University of Economics and Business, Beijing, China). Retrieved from https://kns.cnki.net/kcms2/article/abstract?v=S5uBaE2M3OfWz493ZDxsX1V_vNbruXuApdMT28TUHDjECqxUc9UO8blcCqVx9EQ2SySdzhZZZbS6sFyZ2B1Dq6FRBfauh6dbluNAmuvow5EMdTL9fbooXzzevK-MO3Vg1LDd5Vi98BXQZQLV76D0LA==&uniplatform=NZKPT&language=CHS
  • Yi, W. J., Zou, L. L., Guo, J., Wang, K., & Wei, Y. M. (2011). How can China reach its CO2 intensity reduction targets by 2020? A regional allocation based on equity and development. Energy Policy, 39(5), 2407-2415. https://doi.org/10.1016/j.enpol.2011.01.063
  • Ying, H. (2015). Scenario forecasting and peak regulation of carbon emissions in Hubei province's buildings (Master's thesis, Huazhong University of Science and Technology, Wuhan, China). Retrieved from https://kns.cnki.net/kcms2/article/abstract?v=S5uBaE2M3OdFdI-ecmoEa-_r_xVNDidP1uU_P4SctLhPJNKbJ-q1_c2NdPUQJZNIrvS_SgdKSOhjvgQgPRu8DuvTPvaSBpyGKRDMkohB9tqyQC1mxWTjAD4ccmxOgqUGR43SaFoG5i76jNXjm4qz7Q==&uniplatform=NZKPT&language=CHS
  • Zhang, X. (2018). Quantitative analysis and evaluation method of building carbon emissions and low-carbon building structure (Doctoral dissertation, Harbin Institute of Technology, Harbin, China). Retrieved from https://kns.cnki.net/kcms2/article/abstract?v=S5uBaE2M3OfEdWUx6cldcr1dAsX-8Ees3vFBfGbmV842UMnb2pE3Daol0AonaSfZbnF1KGYJhvHaBBYS6mfxZQFkdBO2KjHHPDB8X2pVOp4eI7588ipgqa1-fnVgb_ARJaSHHp7sM1sRfO6blMdOqw==&uniplatform=NZKPT&language=CHS
  • Zhou, P., & Wang, M. (2016). Carbon dioxide emissions allocation: A review. Ecological Economics, 125, 47-59. https://doi.org/10.1016/j.ecolecon.2016.03.001
LICENSE
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.