{"title":"中国能源弹性的动态演化及影响因素研究","authors":"Tie Wei, Youqi Chen, Zhicheng Duan","doi":"arxiv-2311.10987","DOIUrl":null,"url":null,"abstract":"Energy security is the guarantee for achieving the goal of carbon peaking and\ncarbon neutrality, and exploring energy resilience is one of the important ways\nto promote energy security transition and adapt to changes in international and\ndomestic energy markets. This paper applies the combined dynamic evaluation\nmethod to measure China's energy resilience level from 2004-2021, analyses the\nspatio-temporal dynamic evolution of China's energy resilience through the\ncenter of gravity-standard deviation ellipse and kernel density estimation, and\nemploys geo-detectors to detect the main influencing factors and interactions\nof China's energy resilience. The study finds that:(1)China's energy resilience\nlevel generally shows a zigzagging forward development trend, and the spatial\nimbalance characteristic of China's energy resilience is more obvious.(2)The\nspatial dynamics of China's energy resilience level evolves in a\nnortheast-southwest direction, and the whole moves towards the southwest, with\nan overall counterclockwise trend of constant offset.(3)When the energy\nresilience level of neighboring provinces is too low or too high, it has little\neffect on the improvement of the energy resilience level of the province; when\nthe energy resilience level of neighboring provinces is 1-1.4, it has a\npositive spatial correlation with the energy resilience level of the province,\nand the synergistic development of the provinces can improve the energy\nresilience level together.(4)GDP, the number of employees, the number of\nemployees enrolled in basic pension and medical insurance, and the number of\npatent applications in high-tech industries have a more significant impact on\nChina's energy resilience, while China's energy resilience is affected by the\ninteraction of multiple factors.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":"75 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Dynamic Evolution and Influencing Factors of Energy Resilience in China\",\"authors\":\"Tie Wei, Youqi Chen, Zhicheng Duan\",\"doi\":\"arxiv-2311.10987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Energy security is the guarantee for achieving the goal of carbon peaking and\\ncarbon neutrality, and exploring energy resilience is one of the important ways\\nto promote energy security transition and adapt to changes in international and\\ndomestic energy markets. This paper applies the combined dynamic evaluation\\nmethod to measure China's energy resilience level from 2004-2021, analyses the\\nspatio-temporal dynamic evolution of China's energy resilience through the\\ncenter of gravity-standard deviation ellipse and kernel density estimation, and\\nemploys geo-detectors to detect the main influencing factors and interactions\\nof China's energy resilience. The study finds that:(1)China's energy resilience\\nlevel generally shows a zigzagging forward development trend, and the spatial\\nimbalance characteristic of China's energy resilience is more obvious.(2)The\\nspatial dynamics of China's energy resilience level evolves in a\\nnortheast-southwest direction, and the whole moves towards the southwest, with\\nan overall counterclockwise trend of constant offset.(3)When the energy\\nresilience level of neighboring provinces is too low or too high, it has little\\neffect on the improvement of the energy resilience level of the province; when\\nthe energy resilience level of neighboring provinces is 1-1.4, it has a\\npositive spatial correlation with the energy resilience level of the province,\\nand the synergistic development of the provinces can improve the energy\\nresilience level together.(4)GDP, the number of employees, the number of\\nemployees enrolled in basic pension and medical insurance, and the number of\\npatent applications in high-tech industries have a more significant impact on\\nChina's energy resilience, while China's energy resilience is affected by the\\ninteraction of multiple factors.\",\"PeriodicalId\":501487,\"journal\":{\"name\":\"arXiv - QuantFin - Economics\",\"volume\":\"75 11\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuantFin - Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2311.10987\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2311.10987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Dynamic Evolution and Influencing Factors of Energy Resilience in China
Energy security is the guarantee for achieving the goal of carbon peaking and
carbon neutrality, and exploring energy resilience is one of the important ways
to promote energy security transition and adapt to changes in international and
domestic energy markets. This paper applies the combined dynamic evaluation
method to measure China's energy resilience level from 2004-2021, analyses the
spatio-temporal dynamic evolution of China's energy resilience through the
center of gravity-standard deviation ellipse and kernel density estimation, and
employs geo-detectors to detect the main influencing factors and interactions
of China's energy resilience. The study finds that:(1)China's energy resilience
level generally shows a zigzagging forward development trend, and the spatial
imbalance characteristic of China's energy resilience is more obvious.(2)The
spatial dynamics of China's energy resilience level evolves in a
northeast-southwest direction, and the whole moves towards the southwest, with
an overall counterclockwise trend of constant offset.(3)When the energy
resilience level of neighboring provinces is too low or too high, it has little
effect on the improvement of the energy resilience level of the province; when
the energy resilience level of neighboring provinces is 1-1.4, it has a
positive spatial correlation with the energy resilience level of the province,
and the synergistic development of the provinces can improve the energy
resilience level together.(4)GDP, the number of employees, the number of
employees enrolled in basic pension and medical insurance, and the number of
patent applications in high-tech industries have a more significant impact on
China's energy resilience, while China's energy resilience is affected by the
interaction of multiple factors.