Article(id=1242141473009906370, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242141462863880236, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2023.11.01734, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1699804800000, receivedDateStr=2023-11-13, revisedDate=1715529600000, revisedDateStr=2024-05-13, acceptedDate=null, acceptedDateStr=null, onlineDate=1727539200000, onlineDateStr=2024-09-29, pubDate=1726156800000, pubDateStr=2024-09-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1727539200000, onlineIssueDateStr=2024-09-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774079205035, creator=sys-migrate, updateTime=1774079205035, updator=sys-migrate, issue=Issue{id=1242141462863880236, tenantId=1146029695717560320, journalId=1146031591421210625, year='2024', volume='42', issue='17', pageStart='1', pageEnd='160', issueExtLink='null', onlineDate='null', pubDate='1726156800000', pubDateStr='2024-09-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=null, issueType=-1, specialIssue=null, createTime=1774079202618, creator='sys-migrate', updateTime=1774079202618, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=74, endPage=86, ext={EN=ArticleExt(id=1242141476172411616, articleId=1242141473009906370, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Statistical detection, regional differences and dynamic evolution of energy poverty in China, columnId=1150494644690366681, journalTitle=Science & Technology Review, columnName=Papers, runingTitle=null, highlight=null, articleAbstract=After China has made remarkable achievements in tackling poverty, overcoming relative poverty has become a difficult problem in the new period. Overcoming energy poverty will be an important task for China to promote energy transformation and achieve common prosperity. Based on the panel data of 30 provinces (autonomous regions and municipalities directly under the Central Government) in China from 2005 to 2021, this paper constructs a comprehensive evaluation index system to measure the energy poverty index, and studies the regional differences and distribution dynamics of energy poverty in China by using the two-dimensional decomposition method of Gini coefficient, kernel density estimation and Markov chain. Come to a conclusion:China's energy poverty has eased as a whole, with obvious regional differences; The overall difference is convergent, with the most obvious difference between regions and the largest difference in energy consumption structure. Energy poverty is persistent and characterized by "club convergence". The above conclusions will provide inspiration and decisionmaking reference for understanding the current situation of energy poverty in China and solving it., authors=DING Yuying¹, GAO Zhigang², KE Han³, authorsList=DING Yuying, GAO Zhigang, KE Han, authorCompany=1. School of Economics, Xinjiang University of Finance & Economics, Urumqi 830012, China;
2. School of Economics, Xinjiang University of Science & Technology, Korla 841000, China;
3. School of Statistics and Data Science, Xinjiang University of Finance & Economics, Urumqi 830012, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242141475224498894, articleId=1242141473009906370, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=中国能源贫困的统计测度、区域差异与动态演进, columnId=1242117055294537731, journalTitle=科技导报, columnName=论文, runingTitle=null, highlight=null, articleAbstract=利用2005—2021年中国30个省（自治区、直辖市）面板数据，构建了综合评价指标体系，并测算了能源贫困指数，利用基尼系数双维分解方法、核密度估计、马尔科夫链等分析了中国能源贫困区域差异及分布动态。分析表明：中国能源贫困整体有所缓解，地区间差异明显；总体差异呈收敛态势，区域间差异最为明显，用能结构差异程度最大；能源贫困具有持续性，且存在“俱乐部收敛”特征。, authors=丁煜莹¹, 高志刚², 克甝³, authorsList=丁煜莹, 高志刚, 克甝, authorCompany=1. 新疆财经大学经济学院, 乌鲁木齐 830012;
2. 新疆科技学院经济学院, 库尔勒 841000;
3. 新疆财经大学统计与数据科学学院, 乌鲁木齐 830012, correspAuthors=null, authorNote=丁煜莹，博士研究生，研究方向为区域经济学，电子信箱:389635799@qq.com;高志刚(通信作者)，教授，研究方向为区域经济高质量发展，电子信箱:gaozhg1206@163.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=p4QKlYJD9Q7Cw7b8MITWow==, pdfFileSize=1209454, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金项目（72064035）；自治区研究生创新项目（XJ2023G238）；新疆财经大学科研基金项目（XJWT202301）；新疆自然科学基金项目（2021D01B30）；新疆社会科学基金项目（2023CYJ040）)}, authors=null, keywords=[Keyword(id=1242141474830234313, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242141473009906370, language=CN, orderNo=1, keyword=能源贫困), Keyword(id=1242141474972840650, tenantId=1146029695717560320, journalId=1146031591421210625, 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