Consumption structure optimization for reducing energy footprint

References

• Barma, M. C., Saidur, R., Rahman, S. M. A., Allouhi, A., Akash, B. A., & Sait, S. M. (2017). A review on boilers energy use, energy savings, and emissions reductions. Renewable & Sustainable Energy Reviews, 79, 970–983. https://doi.org/10.1016/j.rser.2017.05.187
   Web of Science ®Google Scholar
• Camaratta, R., Volkmer, T. M., & Osorio, A. G. (2020). Embodied energy in beverage packaging. Journal of Environmental Management, 260, 4. https://doi.org/10.1016/j.jenvman.2020.110172
   Web of Science ®Google Scholar
• Chen, X., Chen, Y. E., & Chang, C. P. (2019). The effects of environmental regulation and industrial structure on carbon dioxide emission: A non-linear investigation. Environmental Science and Pollution Research, 26(29), 30252–30267. https://doi.org/10.1007/s11356-019-06150-6
   PubMed Web of Science ®Google Scholar
• Chen, Y. S., Zhou, Y., Fang, S. Q., Li, M., Wang, Y. J., & Cao, K. H. (2022). Crop pattern optimization for the coordination between economy and environment considering hydrological uncertainty. Science of the Total Environment, 809, 15. https://doi.org/10.1016/j.scitotenv.2021.151152
   Web of Science ®Google Scholar
• Cortes-Borda, D., Ruiz-Hernandez, A., Guillen-Gosalbez, G., Llop, M., Guimera, R., & Sales-Pardo, M. (2015). Identifying strategies for mitigating the global warming impact of the EU-25 economy using a multi-objective input-output approach. Energy Policy, 77, 21–30. https://doi.org/10.1016/j.enpol.2014.11.020
   Web of Science ®Google Scholar
• Cui, D., Deng, Z., & Liu, Z. (2019). China’s non-fossil fuel CO2 emissions from industrial processes. Applied Energy, 254, 9. https://doi.org/10.1016/j.apenergy.2019.113537
   Web of Science ®Google Scholar
• Dascalaki, E. G., Argiropoulou, P., Balaras, C. A., Droutsa, K. G., & Kontoyiannidis, S. (2021). Analysis of the embodied energy of construction materials in the life cycle assessment of Hellenic residential buildings. Energy and Buildings, 232, 12. https://doi.org/10.1016/j.enbuild.2020.110651
   Web of Science ®Google Scholar
• Duarte, R., Pinilla, V., & Serrano, A. (2018). Factors driving embodied carbon in international trade: A multiregional input-output gravity model. Economic Systems Research, 30(4), 545–566. https://doi.org/10.1080/09535314.2018.1450226
   Web of Science ®Google Scholar
• Feng, Y. C., & Wu, H. Y. (2022). How does industrial structure transformation affect carbon emissions in China: The moderating effect of financial development. Environmental Science and Pollution Research, 29(9), 13466–13477. https://doi.org/10.1007/s11356-021-16689-y
   PubMed Web of Science ®Google Scholar
• Freire-Gonzalez, J., Decker, C. A., & Hall, J. W. (2018). A linear programming approach to water allocation during a drought. Water, 10(4), 14. https://doi.org/10.3390/w10040363
   Web of Science ®Google Scholar
• Golkarnarenji, G., Naebe, M., Badii, K., Milani, A. S., Jamali, A., Bab-hadiashar, A., Jazar, R. N., & Khayyam, H. (2019). Multi-Objective optimization of manufacturing process in carbon fiber industry using artificial intelligence techniques. Ieee Access, 7, 67576–67588. https://doi.org/10.1109/ACCESS.2019.2914697
   Google Scholar
• Guangtao, G., Ju’E, G., Youmin, X., & Lei, M. (2008). Energy-saving effect calculation and implementation strategy study on the industrial structure adjustment in western China. China Population Resources & Environment, 18(4), 44–49. https://doi.org/10.1016/S1872-583X(09)60011-5
   Google Scholar
• Han, M. Y., Lao, J. M., Yao, Q. H., Zhang, B., & Meng, J. (2020). Carbon inequality and economic development across the Belt and Road regions. Journal of Environmental Management, 262, 9. https://doi.org/10.1016/j.jenvman.2020.110250
   Web of Science ®Google Scholar
• Hanif, I., Raza, S. M. F., Gago-de-Santos, P., & Abbas, Q. (2019). Fossil fuels, foreign direct investment, and economic growth have triggered CO2 emissions in emerging Asian economies: Some empirical evidence. Energy, 171, 493–501. https://doi.org/10.1016/j.energy.2019.01.011
   Web of Science ®Google Scholar
• He, H., Reynolds, C. J., Li, L. Y., & Boland, J. (2019). Assessing net energy consumption of Australian economy from 2004-05 to 2014-15: Environmentally-extended input-output analysis, structural decomposition analysis, and linkage analysis. Applied Energy, 240, 766–777. https://doi.org/10.1016/j.apenergy.2019.02.081
   Web of Science ®Google Scholar
• Hertwich, E. G., & Wood, R. (2018). The growing importance of scope 3 greenhouse gas emissions from industry. Environmental Research Letters, 13(10), 11. https://doi.org/10.1088/1748-9326/aae19a
   Web of Science ®Google Scholar
• Huang, W. W., Li, Y. Y., & Li, H. (2021). Embodied energy in China: Drivers and inequality at a regional level. Environmental Science and Pollution Research, 28(45), 64488–64502. https://doi.org/10.1007/s11356-021-15328-w
   PubMed Web of Science ®Google Scholar
• IPCC. (2022). Poverty, livelihoods and sustainable development. In J. Birkmann, E. Liwenga, R. Pandey, E. Boyd, R. Djalante, F. Gemenne, W. L. Filho, P. F. Pinho, L. Stringer, D. Wrathall, S. Afionis, L. Anderson, D. Ayal, J. C. Cavanagh, J. Ensor, H. Heubaum, M. Islam, R. James, E. L. Johansson, M. Krishnapillai, J. M. McMillan, N. P. Simpson, J. V. D. Hoek, E. Raju, T. Oki, M. G. Rivera-Ferre, & T. Zatari (Eds.), Climate change 2022: Impacts, adaptation and vulnerability. Contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change (pp. 1476–1630). Cambridge University Press.
   Google Scholar
• Jiang, M., & Hao, X. (2022). Adjusting the intermediate input sources for global carbon emission reduction: An input-output optimization model. The Science of the Total Environment, 835, 155582. https://doi.org/10.1016/j.scitotenv.2022.155582
   PubMed Web of Science ®Google Scholar
• Jiang, M. H., An, H. Z., Gao, X. Y., Liu, D. H., Jia, N. F., & Xi, X. (2020). Consumption-based multi-objective optimization model for minimizing energy consumption: A case study of China. Energy, 208, 11. https://doi.org/10.1016/j.energy.2020.118384
   Web of Science ®Google Scholar
• Jiang, M. H., An, H. Z., Gao, X. Y., Zheng, H. L., & Li, Y. (2021). Identifying the key sectors in the carbon emission flows along the production chain paths: A network perspective. Ecological Indicators, 130, 8. https://doi.org/10.1016/j.ecolind.2021.108050
   Web of Science ®Google Scholar
• Jiang, T. Y., Yang, J., & Huang, S. J. (2020). Evolution and driving factors of CO2 emissions structure in China’s heating and power industries: The supply-side and demand-side dual perspectives. Journal of Cleaner Production, 264, 11. https://doi.org/10.1016/j.jclepro.2020.121507
   Web of Science ®Google Scholar
• Jiang, Z. P., Gao, D., Lu, Y., & Liu, X. L. (2019). Optimization of cutting parameters for trade-off among carbon emissions, surface roughness, and processing time. Chinese Journal of Mechanical Engineering, 32(1), 18. https://doi.org/10.1186/s10033-019-0408-9
   Web of Science ®Google Scholar
• Karpinska, L., & Smiech, S. (2020). Conceptualising housing costs: The hidden face of energy poverty in Poland. Energy Policy, 147, 20. https://doi.org/10.1016/j.enpol.2020.111819
   Web of Science ®Google Scholar
• Lan, J., Malik, A., Lenzen, M., McBain, D., & Kanemoto, K. (2016). A structural decomposition analysis of global energy footprints. Applied Energy, 163, 436–451. https://doi.org/10.1016/j.apenergy.2015.10.178
   Web of Science ®Google Scholar
• Lenzen, M., Sun, Y. Y., Faturay, F., Ting, Y. P., Geschke, A., & Malik, A. (2018). The carbon footprint of global tourism. Nature Climate Change, 8(6), 522-+. https://doi.org/10.1038/s41558-018-0141-x
   Web of Science ®Google Scholar
• Li, Y. J., Chen, B., Fang, D. L., Zhang, B. Y., Bai, J. H., Liu, G. Y., & Zhang, Y. (2021). Drivers of energy-related PM2.5 emissions in the Jing-Jin-Ji region between 2002 and 2015. Applied Energy, 288, 13. https://doi.org/10.1016/j.apenergy.2021.116668
   Web of Science ®Google Scholar
• Li, Y. J., Zhang, Z. Y., & Shi, M. J. (2019). What should be the future industrial structure of the Beijing-Tianjin-Hebei city region under water resource constraint? An inter-city input-output analysis. Journal of Cleaner Production, 239, 14. https://doi.org/10.1016/j.jclepro.2019.118117
   Web of Science ®Google Scholar
• Lin, P. P., Li, D. F., Jiang, B. Q., Wei, A. P., & Yu, G. F. (2019). Regional input-output multiple choice goal programming model and method for industry structure optimization on energy conservation and GHG emission reduction in China. International Journal of Computational Intelligence Systems, 12(2), 1311–1322. https://doi.org/10.2991/ijcis.d.191104.002
   Web of Science ®Google Scholar
• Liu, L. R., Huang, G., Baetz, B., Cheng, G. H., Pittendrigh, S. M., & Pan, S. Y. (2020). Input-output modeling analysis with a detailed disaggregation of energy sectors for climate change policy-making: A case study of Saskatchewan, Canada. Renewable Energy, 151, 1307–1317. https://doi.org/10.1016/j.renene.2019.11.136
   Web of Science ®Google Scholar
• Ma, N., Yin, G. W., Li, H. J., Sun, W. L., Wang, Z., Liu, G., & Xie, D. (2022). The optimal industrial carbon tax for China under carbon intensity constraints: A dynamic input-output optimization model. Environmental Science and Pollution Research, 21, 53191–53211. https://doi.org/10.1007/s11356-022-19162-6
   Google Scholar
• Meng, Y. Q., Rajagopal, M., Kuntumalla, G., Toro, R., Zhao, H. Y., Chang, H. C., Sundar, S., Salapaka, S., Miljkovic, N., Ferreira, P., Sinha, S., & Shao, C. H. (2020). Multi-objective optimization of peel and shear strengths in ultrasonic metal welding using machine learning-based response surface methodology. Mathematical Biosciences and Engineering, 17(6), 7411–7427. https://doi.org/10.3934/mbe.2020379
   PubMed Web of Science ®Google Scholar
• Mi, Z. F., & Sun, X. L. (2021). Provinces with transitions in industrial structure and energy mix performed best in climate change mitigation in China. Communications Earth & Environment, 2(1), 12. https://doi.org/10.1038/s43247-020-00070-x
   Google Scholar
• Nesamalar, J. J. D., Venkatesh, P., & Raja, S. C. (2017). The drive of renewable energy in Tamilnadu: Status, barriers and future prospect. Renewable & Sustainable Energy Reviews, 73, 115–124. https://doi.org/10.1016/j.rser.2017.01.123
   Web of Science ®Google Scholar
• Sanchez, D. R., Hoadley, A. F. A., & Khalilpour, K. R. (2019). A multi-objective extended input-output model for a regional economy. Sustainable Production and Consumption, 20, 15–28. https://doi.org/10.1016/j.spc.2019.04.009
   Web of Science ®Google Scholar
• Shrimali, G. (2020). Making India’s power system clean: Retirement of expensive coal plants. Energy Policy, 139, 10. https://doi.org/10.1016/j.enpol.2020.111305
   Web of Science ®Google Scholar
• Suh, S. (2006). Are services better for climate change? Environmental Science & Technology, 40(21), 6555–6560. https://doi.org/10.1021/es0609351
   PubMed Web of Science ®Google Scholar
• Tabatabaie, S. M. H., & Murthy, G. S. (2021). Development of an input-output model for food-energy-water nexus in the pacific northwest, USA. Resources Conservation and Recycling, 168, 15. https://doi.org/10.1016/j.resconrec.2020.105267
   Web of Science ®Google Scholar
• Tang, X., Jin, Y., Wang, X. C., Wang, J. L., & McLellan, B. C. (2017). Will China’s trade restructuring reduce CO2 emissions embodied in international exports? Journal of Cleaner Production, 161, 1094–1103. https://doi.org/10.1016/j.jclepro.2017.05.069
   Web of Science ®Google Scholar
• Wang, R. R., Assenova, V. A., & Hertwich, E. G. (2021). Energy system decarbonization and productivity gains reduced the coupling of CO2 emissions and economic growth in 73 countries between 1970 and 2016. One Earth, 4(11), 1614–1624. https://doi.org/10.1016/j.oneear.2021.10.010
   Google Scholar
• Wang, J. Y., Wang, K., & Wei, Y. M. (2020). How to balance China’s sustainable development goals through industrial restructuring: A multi-regional input-output optimization of the employment-energy-water-emissions nexus. Environmental Research Letters, 15(3), 11. https://doi.org/10.1088/1748-9326/ab666a
   Web of Science ®Google Scholar
• Xing, T., Lin, H. Y., Tan, Z. F., & Ju, L. W. (2019). Coordinated energy management for micro energy systems considering carbon emissions using multi-objective optimization. Energies, 12(23), 27. https://doi.org/10.3390/en12234414
   Web of Science ®Google Scholar
• Xu, Y., Tian, S., Wang, Q. S., Yuan, X. L., Ma, Q., Liu, M. Y., Xu, Z. P., Liu, J. X., Xu, X., & Liu, C. Q. (2021). Optimization path of energy-economy system from the perspective of minimum industrial structure adjustment. Energy, 237, 12. https://doi.org/10.1016/j.energy.2021.121650
   Web of Science ®Google Scholar
• Yan, J., Su, B., & Liu, Y. (2018). Multiplicative structural decomposition and attribution analysis of carbon emission intensity in China, 2002-2012. Journal of Cleaner Production, 198, 195–207. https://doi.org/10.1016/j.jclepro.2018.07.003
   Web of Science ®Google Scholar
• Yan, J. N., & Su, B. (2020). What drive the changes in China’s energy consumption and intensity during 12th Five-Year Plan period? Energy Policy, 140, 16. https://doi.org/10.1016/j.enpol.2020.111383
   Web of Science ®Google Scholar
• Yu, S. W., Zheng, S. H., Ba, G. Z., & Wei, Y. M. (2016). Can China realise its energy-savings goal by adjusting its industrial structure? Economic Systems Research, 28(2), 273–293. https://doi.org/10.1080/09535314.2015.1102714
   Web of Science ®Google Scholar
• Yu, S. W., Zheng, S. H., Zhang, X. J., Gong, C. Z., & Cheng, J. H. (2018). Realizing China’s goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach. Energy Policy, 122, 300–312. https://doi.org/10.1016/j.enpol.2018.07.034
   Web of Science ®Google Scholar
• Zhang, Y. Y., Wang, J. Q., Zhang, L. M., Liu, J. F., Zheng, H. B., Fang, J. K., Hou, S. R., & Chen, S. Q. (2020). Optimization of China’s electric power sector targeting water stress and carbon emissions. Applied Energy, 271, 10. https://doi.org/10.1016/j.apenergy.2020.115221
   Web of Science ®Google Scholar
• Zhang, Z. Y., Yang, H., & Shi, M. J. (2016). Spatial and sectoral characteristics of China’s international and interregional virtual water flows – based on multi-regional input-output model. Economic Systems Research, 28(3), 362–382. https://doi.org/10.1080/09535314.2016.1165651
   Web of Science ®Google Scholar