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Random forest analysis of factors affecting urban carbon emissions in cities within the Yangtze River Economic Belt

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  • Zhaohan Wang
  • Zijie Zhao
  • Chengxin Wang

Abstract

China became the country with the largest global carbon emissions in 2007. Cities are regional population and economic centers and are the main sources of carbon emissions. However, factors influencing carbon emissions from cities can vary with geographic location and the development history of the cities, rendering it difficult to explicitly quantify the influence of individual factors on carbon emissions. In this study, random forest (RF) machine learning algorithms were applied to analyze the relationships between factors and carbon emissions in cities using real-world data from Chinese cities. Seventy-three cities in three urban agglomerations within the Yangtze River Economic Belt were evaluated with respect to urban carbon emissions using data from regional energy balance tables for the years 2000, 2007, 2012, and 2017. The RF algorithm was then used to select 16 prototypical cities based on 10 influencing factors that affect urban carbon emissions while considering five primary factors: population, industry, technology levels, consumption, and openness to the outside world. Subsequently, 18 consecutive years of data from 2000 to 2017 were used to construct RFs to investigate the temporal predictability of carbon emission variation in the 16 cities based on regional differences. Results indicated that the RF approach is a practical tool to study the connection between various influencing factors and carbon emissions in the Yangtze River Economic Belt from different perspectives. Furthermore, regional differences among the primary carbon emission influencing factors for each city were clearly observed and were related to urban population characteristics, urbanization level, industrial structures, and degree of openness to the outside world. These factors variably affected different cities, but the results indicate that regional emission reductions have achieved positive results, with overall simulation trends shifting from underestimation to overestimation of emissions.

Suggested Citation

  • Zhaohan Wang & Zijie Zhao & Chengxin Wang, 2021. "Random forest analysis of factors affecting urban carbon emissions in cities within the Yangtze River Economic Belt," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-20, June.
    • Handle: RePEc:plo:pone00:0252337
    DOI: 10.1371/journal.pone.0252337
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    References listed on IDEAS

    as
    1. Xie, Hualin & Chen, Qianru & Lu, Fucai & Wu, Qing & Wang, Wei, 2018. "Spatial-temporal disparities, saving potential and influential factors of industrial land use efficiency: A case study in urban agglomeration in the middle reaches of the Yangtze River," Land Use Policy, Elsevier, vol. 75(C), pages 518-529.
    2. Shuai, Chenyang & Shen, Liyin & Jiao, Liudan & Wu, Ya & Tan, Yongtao, 2017. "Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011," Applied Energy, Elsevier, vol. 187(C), pages 310-325.
    3. Steven Lugauer & Richard Jensen & Clayton Sadler, 2014. "An Estimate Of The Age Distribution'S Effect On Carbon Dioxide Emissions," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 914-929, April.
    4. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    5. Ren, Shenggang & Yuan, Baolong & Ma, Xie & Chen, Xiaohong, 2014. "The impact of international trade on China׳s industrial carbon emissions since its entry into WTO," Energy Policy, Elsevier, vol. 69(C), pages 624-634.
    6. Du, Kerui & Xie, Chunping & Ouyang, Xiaoling, 2017. "A comparison of carbon dioxide (CO2) emission trends among provinces in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 19-25.
    7. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    8. Sinha, Avik, 2018. "Impact of ICT exports and internet usage on carbon emissions: A case of OECD countries," MPRA Paper 103716, University Library of Munich, Germany, revised 2018.
    9. Fang, Zhixiang & Shaw, Shih-Lung & Tu, Wei & Li, Qingquan & Li, Yuguang, 2012. "Spatiotemporal analysis of critical transportation links based on time geographic concepts: a case study of critical bridges in Wuhan, China," Journal of Transport Geography, Elsevier, vol. 23(C), pages 44-59.
    10. Lau, Lin-Sea & Choong, Chee-Keong & Eng, Yoke-Kee, 2014. "Investigation of the environmental Kuznets curve for carbon emissions in Malaysia: Do foreign direct investment and trade matter?," Energy Policy, Elsevier, vol. 68(C), pages 490-497.
    11. Xuemei Jiang & Quanrun Chen & Dabo Guan & Kunfu Zhu & Cuihong Yang, 2016. "Revisiting the Global Net Carbon Dioxide Emission Transfers by International Trade: The Impact of Trade Heterogeneity of China," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 506-514, June.
    12. Gingrich, Simone & Kusková, Petra & Steinberger, Julia K., 2011. "Long-term changes in CO2 emissions in Austria and Czechoslovakia--Identifying the drivers of environmental pressures," Energy Policy, Elsevier, vol. 39(2), pages 535-543, February.
    13. Ajmi, Ahdi Noomen & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sato, João Ricardo, 2015. "On the relationships between CO2 emissions, energy consumption and income: The importance of time variation," Energy Economics, Elsevier, vol. 49(C), pages 629-638.
    14. Dong, Huijuan & Ohnishi, Satoshi & Fujita, Tsuyoshi & Geng, Yong & Fujii, Minoru & Dong, Liang, 2014. "Achieving carbon emission reduction through industrial & urban symbiosis: A case of Kawasaki," Energy, Elsevier, vol. 64(C), pages 277-286.
    15. Shi, Anqing, 2003. "The impact of population pressure on global carbon dioxide emissions, 1975-1996: evidence from pooled cross-country data," Ecological Economics, Elsevier, vol. 44(1), pages 29-42, February.
    16. Shahzad, Syed Jawad Hussain & Kumar, Ronald Ravinesh & Zakaria, Muhammad & Hurr, Maryam, 2017. "Carbon emission, energy consumption, trade openness and financial development in Pakistan: A revisit," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 185-192.
    17. Yu, Yantuan & Zhang, Ning & Kim, Jong Dae, 2020. "Impact of urbanization on energy demand: An empirical study of the Yangtze River Economic Belt in China," Energy Policy, Elsevier, vol. 139(C).
    18. Fang, Chuanglin & Wang, Shaojian & Li, Guangdong, 2015. "Changing urban forms and carbon dioxide emissions in China: A case study of 30 provincial capital cities," Applied Energy, Elsevier, vol. 158(C), pages 519-531.
    19. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    20. Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
    21. Ahmad, Ashfaq & Zhao, Yuhuan & Shahbaz, Muhammad & Bano, Sadia & Zhang, Zhonghua & Wang, Song & Liu, Ya, 2016. "Carbon emissions, energy consumption and economic growth: An aggregate and disaggregate analysis of the Indian economy," Energy Policy, Elsevier, vol. 96(C), pages 131-143.
    22. Liddle, Brantley, 2014. "Impact of population, age structure, and urbanization on carbon emissions/energy consumption: Evidence from macro-level, cross-country analyses," MPRA Paper 61306, University Library of Munich, Germany.
    23. Lin, Boqiang & Zhao, Hongli, 2016. "Technological progress and energy rebound effect in China׳s textile industry: Evidence and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 173-181.
    24. Jaruwan Chontanawat, 2019. "Driving Forces of Energy-Related CO 2 Emissions Based on Expanded IPAT Decomposition Analysis: Evidence from ASEAN and Four Selected Countries," Energies, MDPI, vol. 12(4), pages 1-23, February.
    25. Manfred Lenzen & Roberto Schaeffer & Jonas Karstensen & Glen Peters, 2013. "Drivers of change in Brazil’s carbon dioxide emissions," Climatic Change, Springer, vol. 121(4), pages 815-824, December.
    26. Lindmark, Magnus, 2002. "An EKC-pattern in historical perspective: carbon dioxide emissions, technology, fuel prices and growth in Sweden 1870-1997," Ecological Economics, Elsevier, vol. 42(1-2), pages 333-347, August.
    27. Shu, Hui & Xiong, Ping-ping, 2019. "Reallocation planning of urban industrial land for structure optimization and emission reduction: A practical analysis of urban agglomeration in China’s Yangtze River Delta," Land Use Policy, Elsevier, vol. 81(C), pages 604-623.
    28. Zheng, Yuhua & Luo, Dongkun, 2013. "Industrial structure and oil consumption growth path of China: Empirical evidence," Energy, Elsevier, vol. 57(C), pages 336-343.
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    Cited by:

    1. Weijia Cui & Xueqin Lin & Dai Wang & Ying Mi, 2022. "Urban Industrial Carbon Efficiency Measurement and Influencing Factors Analysis in China," Land, MDPI, vol. 12(1), pages 1-21, December.
    2. Huafang Huang & Xiaomao Wu & Xianfu Cheng, 2021. "The Prediction of Carbon Emission Information in Yangtze River Economic Zone by Deep Learning," Land, MDPI, vol. 10(12), pages 1-23, December.

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