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Soft Computing

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09.09.2023 | Data analytics and machine learning

Using random forest to find the discontinuity points for carbon efficiency during COVID-19

verfasst von: Yingchi Qu, Ming K. Lim, Mei Yang, Du Ni, Zhi Xiao

Erschienen in: Soft Computing | Ausgabe 22/2023

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Abstract

As there is a constant trade-off between carbon dioxide emissions against economic growth for every government, carbon efficiency is a key indicator to guide sustainable development. However, the energy crisis and COVID-19 recovery (declined cases of COVID-19 infection, flight recovery, manufacturing restart, and increasing import and export trading) could affect carbon efficiency. Therefore, this paper combines the fuzzy regression discontinuity and random forest algorithm (RF-FRD method) to estimate the discontinuity of the energy crisis and COVID-19 recovery on carbon efficiency. The findings show that discontinuity points in carbon efficiency were induced by the energy crisis and COVID-19 recovery. The positive treatment effect at the first discontinuity point proves that the “zero-tolerance” policies effectively promote carbon efficiency. Besides, the negative treatment effect at the second discontinuity point proves that electricity rationing has not always improved carbon efficiency during the energy crisis.

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Antonietti R, Fontini F (2019) Does energy price affect energy efficiency? Cross-country panel evidence. Energy Policy 129:896–906. https://doi.org/10.1016/j.enpol.2019.02.069CrossRef

Aria M, Cuccurullo C, Gnasso A (2021) A comparison among interpretative proposals for random forests. Mach Learn h Appl 6:100094. https://doi.org/10.1016/j.mlwa.2021.100094CrossRef

Breiman L (2001) Random forests. Mach Learn 45(1):5–32. https://doi.org/10.1023/A:1010933404324CrossRefMATH

Cai W, Ye P (2022) Does carbon emission trading improve low-carbon technical efficiency? Evidence from China. Sustain Prod Consump 29:46–56. https://doi.org/10.1016/j.spc.2021.09.024CrossRef

Calonico S, Cattaneo MD, Farrell MH, Titiunik R (2017) Rdrobust: software for regression-discontinuity designs. Stata J 17(2):372–404. https://doi.org/10.1177/1536867X1701700208CrossRef

Cantore N, Schlör H, Voegele S, Kuckshinrichs W, Haraguchi N, Nussbaumer P, Yan J (2021) Inclusive and sustainable industrial development: measurement approaches for energy transformation. Appl Energy 299:117277. https://doi.org/10.1016/j.apenergy.2021.117277CrossRef

Chang X, Xing Y, Gong W, Yang C, Guo Z, Wang D, Wang J, Yang H, Xue G, Yang S (2023) Evaluating gross primary productivity over 9 ChinaFlux sites based on random forest regression models, remote sensing, and eddy covariance data. Sci Total Environ 875:162601. https://doi.org/10.1016/j.scitotenv.2023.162601CrossRef

CNBC (2021) China coal prices hit record high as floods add to supply constraints. CNBC. https://www.cnbc.com/2021/10/13/china-coal-prices-hit-record-high-as-floods-add-to-supply-constraints.html

Cui Q, Li Y (2015) An empirical study on the influencing factors of transportation carbon efficiency: evidences from fifteen countries. Appl Energy 141:209–217. https://doi.org/10.1016/j.apenergy.2014.12.040CrossRef

Haxhimusa A, Liebensteiner M (2021) Effects of electricity demand reductions under a carbon pricing regime on emissions: lessons from COVID-19. Energy Policy 156:112392. https://doi.org/10.1016/j.enpol.2021.112392CrossRef

Imbens G, Kalyanaraman K (2012) Optimal bandwidth choice for the regression discontinuity estimator. Rev Econ Stud 79(3):933–959. https://doi.org/10.1093/restud/rdr043MathSciNetCrossRefMATH

Imbens GW, Lemieux T (2008) Regression discontinuity designs: a guide to practice. J Econom 142(2):615–635. https://doi.org/10.1016/j.jeconom.2007.05.001MathSciNetCrossRefMATH

Jacob R, Zhu P, Somers M-A, Bloom H (2012) A practical guide to regression discontinuity. In MDRC. MDRC. https://eric.ed.gov/?id=ED565862

Kawaguchi K, Kodama N, Tanaka M (2021) Small business under the COVID-19 crisis: expected short- and medium-run effects of anti-contagion and economic policies. J Japanese Int Econ 61:101138. https://doi.org/10.1016/j.jjie.2021.101138CrossRef

Lin B, Li Z (2021) Towards world’s low carbon development: the role of clean energy. Appl Energy. https://doi.org/10.1016/j.apenergy.2021.118160CrossRef

Liu Y, Zhao G, Zhao Y (2016) An analysis of Chinese provincial carbon dioxide emission efficiencies based on energy consumption structure. Energy Policy 96:524–533. https://doi.org/10.1016/j.enpol.2016.06.028CrossRef

McCrary J (2008) Manipulation of the running variable in the regression discontinuity design: a density test. J Econom 142(2):698–714. https://doi.org/10.1016/j.jeconom.2007.05.005MathSciNetCrossRefMATH

Pu Z, Yang M (2022) The impact of city commercial banks’ expansion on China’s regional energy efficiency. Econ Anal Policy 73:10–28CrossRef

Salman M, Long X, Wang G, Zha D (2022) Paris climate agreement and global environmental efficiency: new evidence from fuzzy regression discontinuity design. Energy Policy 168:113128. https://doi.org/10.1016/j.enpol.2022.113128CrossRef

Sha R, Li J, Ge T (2021) How do price distortions of fossil energy sources affect China’s green economic efficiency? Energy 232:121017. https://doi.org/10.1016/j.energy.2021.121017CrossRef

Sheng P, Li J, Zhai M, Huang S (2020) Coupling of economic growth and reduction in carbon emissions at the efficiency level: evidence from China. Energy 213:118747. https://doi.org/10.1016/j.energy.2020.118747CrossRef

Tajudeen IA (2021) The underlying drivers of economy-wide energy efficiency and asymmetric energy price responses. Energy Econ 98:105222. https://doi.org/10.1016/j.eneco.2021.105222CrossRef

Tan X, Choi Y, Wang B, Huang X (2020) Does China’s carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis. Technol Forecast Soc Change 160:120222. https://doi.org/10.1016/j.techfore.2020.120222CrossRef

Wang B, Deng N, Liu X, Sun Q, Wang Z (2021) Effect of energy efficiency labels on household appliance choice in China: sustainable consumption or irrational intertemporal choice? Resour Conserv Recycl 169:105458. https://doi.org/10.1016/j.resconrec.2021.105458CrossRef

Yin Z, Jiang X, Lin S, Liu J (2022) The impact of online education on carbon emissions in the context of the COVID-19 pandemic–taking Chinese Universities as examples. Appl Energy. https://doi.org/10.1016/j.apenergy.2022.118875CrossRef

Yu Y, Zhang N (2021) Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China. Energy Econ 96:105125. https://doi.org/10.1016/j.eneco.2021.105125CrossRef

Zhang R, Fu Y (2022) Technological progress effects on energy efficiency from the perspective of technological innovation and technology introduction: an empirical study of Guangdong, China. Energy Rep 8:425–437. https://doi.org/10.1016/j.egyr.2021.11.282CrossRef

Zhang Z, Cai W, Feng X (2017) How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach. Energy Policy 105:161–172. https://doi.org/10.1016/j.enpol.2017.02.025CrossRef

Zhang Y, Xiong Y, Li F, Cheng J, Yue X (2020) Environmental regulation, capital output and energy efficiency in China: an empirical research based on integrated energy prices. Energy Policy 146:111826. https://doi.org/10.1016/j.enpol.2020.111826CrossRef

Zhang S, Wang Y, Hao Y, Liu Z (2021) Shooting two hawks with one arrow: could China’s emission trading scheme promote green development efficiency and regional carbon equality? Energy Econ 101:105412. https://doi.org/10.1016/j.eneco.2021.105412CrossRef

Zhao P, Zeng L, Li P, Lu H, Hu H, Li C, Zheng M, Li H, Yu Z, Yuan D, Xie J, Huang Q, Qi Y (2022) China’s transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model. Energy 238:121934. https://doi.org/10.1016/j.energy.2021.121934CrossRef

Titel: Using random forest to find the discontinuity points for carbon efficiency during COVID-19
verfasst von: Yingchi Qu
Ming K. Lim
Mei Yang
Du Ni
Zhi Xiao
Publikationsdatum: 09.09.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 22/2023
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-023-09179-5

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