DOI: 10.6084/m9.figshare.27146961.v1
title: <b>Supplemental Data for </b><b>Fewer than 15% of coal power workers in China can easily shift to green jobs by 2060</b>

description: <b>The repository primarily contains the data files related to the publication entitled "Fewer than 15% of coal power workers in China can easily shift to green jobs by 2060"</b><b>. Certain datasets are directly accessible via the links provided in the Data and Code Availability section of the article and are therefore not duplicated within this repository. For any additional data not included, please feel free to contact us at </b><b>hhwu@stu.pku.edu.cn</b><b>, and we will provide it upon receiving a reasonable request.</b><b>Furthermore, the methodologies employed in the models utilized can be referenced in our previous publications. We are actively engaged in refining our models and are committed to progressively open-sourcing our model code in future research endeavors. We invite interested scholars to collaborate with us and encourage them to remain informed about forthcoming updates.</b><br><b>Supplemental Data S1:</b> This Excel document encompasses datasets pertaining to the probability of implementing solar and wind energy in the geographical areas where coal mining workers are located.<b>Supplemental Data S2:</b> This Excel document encompasses datasets pertaining to the probability of implementing solar and wind energy in the geographical areas where coal power workers are located.<b>Supplemental Data S3:</b><b> </b>This Excel document illustrates the geographic distribution of green jobs generated by solar and wind energy is presented, with the magnitude of coal power workers and renewable-energy-related green jobs aggregated at the city level.<b>Supplemental Data S4:</b><b> </b>This Excel document illustrates the geographic distribution of green jobs generated by solar and wind energy is presented, with the magnitude of coal power workers and renewable-energy-related green jobs aggregated at the province level.<b>Supplemental Data S5:</b><b> </b>This Excel document presents power generation by various technologies (coal, gas, nuclear, biomass, hydro, wind, solar PV, and storage) from 2020 to 2060 under different emission pathways.<b>Supplemental Data S6:</b><b> </b>This Excel document illustrates the distribution of coal power workers categorized by commuting distance across various provinces. The provinces are identified by their abbreviations, with the full names of the provinces available in the Supplemental Table titled "Province Names, Corresponding Abbreviations, and Regions within China."<b>Supplemental Data S7: </b>This Excel document records the average commuting distance per worker at the provincial and plant levels, respectively, under the PATH-M scenario from 2020 to 2060.<b>Supplemental Data S8:</b><b> </b>This Excel document provides a record of the proportion of coal power workers who are transitioning to green jobs across various coal power retirement pathways. It also presents the number of coal power workers who have successfully transitioned to green jobs, specifically under the OPT and Real scenarios, within each province as outlined in the PATH-M scenario.