{"id":"https://openalex.org/W3171293211","doi":"https://doi.org/10.1109/cybconf47073.2019.9436628","title":"Measure of China's environmental economic efficiency","display_name":"Measure of China's environmental economic efficiency","publication_year":2019,"publication_date":"2019-07-05","ids":{"openalex":"https://openalex.org/W3171293211","doi":"https://doi.org/10.1109/cybconf47073.2019.9436628","mag":"3171293211"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf47073.2019.9436628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf47073.2019.9436628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th IEEE International Conference on Cybernetics (Cybconf)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010918062","display_name":"Bodin Singpai","orcid":"https://orcid.org/0000-0002-1019-1635"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bodin Singpai","raw_affiliation_strings":["School of Economics and Management, University of Chinese Academy of Sciences,Beijing,China,100049"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694948","display_name":"Desheng Wu","orcid":"https://orcid.org/0000-0001-6201-9047"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Desheng Wu","raw_affiliation_strings":["School of Economics and Management, University of Chinese Academy of Sciences,Beijing,China,100049"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010918062"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.33016829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10435","display_name":"Environmental Impact and Sustainability","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10438","display_name":"Energy, Environment, Economic Growth","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/divisia-index","display_name":"Divisia index","score":0.9458584785461426},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.6913542747497559},{"id":"https://openalex.org/keywords/environmental-economics","display_name":"Environmental economics","score":0.5079494118690491},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.48663052916526794},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.46344590187072754},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.45996859669685364},{"id":"https://openalex.org/keywords/logarithmic-mean","display_name":"Logarithmic mean","score":0.4549105763435364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4498148262500763},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4384496212005615},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.43668022751808167},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4343230724334717},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.42234712839126587},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4097544252872467},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37975189089775085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36473846435546875},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.34700924158096313},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.24677878618240356},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2168392539024353},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.13727688789367676}],"concepts":[{"id":"https://openalex.org/C50551742","wikidata":"https://www.wikidata.org/wiki/Q5284413","display_name":"Divisia index","level":4,"score":0.9458584785461426},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.6913542747497559},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.5079494118690491},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.48663052916526794},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.46344590187072754},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.45996859669685364},{"id":"https://openalex.org/C116119841","wikidata":"https://www.wikidata.org/wiki/Q954389","display_name":"Logarithmic mean","level":3,"score":0.4549105763435364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4498148262500763},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4384496212005615},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.43668022751808167},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4343230724334717},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.42234712839126587},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4097544252872467},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37975189089775085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36473846435546875},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.34700924158096313},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.24677878618240356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2168392539024353},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.13727688789367676},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C97615858","wikidata":"https://www.wikidata.org/wiki/Q1341351","display_name":"Energy intensity","level":3,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf47073.2019.9436628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf47073.2019.9436628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th IEEE International Conference on Cybernetics (Cybconf)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1990943093","https://openalex.org/W2017818941","https://openalex.org/W2042221267","https://openalex.org/W2044055559","https://openalex.org/W2053284408","https://openalex.org/W2076301824","https://openalex.org/W2076452041","https://openalex.org/W2084788377","https://openalex.org/W2086827606","https://openalex.org/W2095414388","https://openalex.org/W2102637397","https://openalex.org/W2129763896","https://openalex.org/W2190698000","https://openalex.org/W2353399648","https://openalex.org/W2481897016","https://openalex.org/W2486298761","https://openalex.org/W2507246283","https://openalex.org/W2520619256","https://openalex.org/W2520963744","https://openalex.org/W2600776139","https://openalex.org/W2622113783","https://openalex.org/W2624146515","https://openalex.org/W2625383600","https://openalex.org/W2729513334","https://openalex.org/W2769322348","https://openalex.org/W2780766019","https://openalex.org/W2789289730","https://openalex.org/W2796620801","https://openalex.org/W2803800840","https://openalex.org/W4285719527","https://openalex.org/W6705663058"],"related_works":["https://openalex.org/W2034968220","https://openalex.org/W2017061694","https://openalex.org/W2021281175","https://openalex.org/W2313067097","https://openalex.org/W2035318722","https://openalex.org/W4392761524","https://openalex.org/W2387825045","https://openalex.org/W2887135130","https://openalex.org/W2001853348","https://openalex.org/W86709706"],"abstract_inverted_index":{"The":[0,101,129],"global":[1],"CO":[2,27,104],"<inf":[3,28,105],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[4,29,106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[5,30,107],"emissions":[6],"topic":[7],"has":[8],"attracted":[9],"many":[10,17],"scholars":[11],"due":[12],"to":[13,61,118,175],"the":[14,24,46,63,81,90,93,132,143,157,170,180],"cause":[15],"of":[16,71,92,103,114],"environmental":[18,64],"issues.":[19],"Many":[20],"research":[21],"works":[22],"showed":[23],"relationships":[25],"between":[26,40,84,135,156],"emissions,":[31,108],"energy":[32,109],"consumption,":[33,110],"and":[34,51,86,88,95,111,137,159,162],"economic":[35,65,112],"components.":[36],"An":[37],"integrated":[38,133],"approach":[39,134,151],"an":[41,77],"extended":[42],"Kaya":[43],"identity":[44],"based":[45],"logarithmic-mean":[47],"Divisia":[48],"index":[49],"(LMDI)":[50],"a":[52,74,177],"data":[53],"envelopment":[54],"analysis":[55],"(DEA)":[56],"was":[57],"applied":[58],"in":[59,73,99,169,179],"order":[60],"evaluate":[62],"effectiveness.":[66],"DEA":[67,138],"can":[68,79,152,165],"compare":[69],"efficiencies":[70],"units":[72],"system;":[75],"moreover,":[76],"LMDI":[78,136],"express":[80],"corresponding":[82],"contributions":[83],"inputs":[85,94],"outputs":[87,96],"avoid":[89],"hypersensitivity":[91,181],"selection":[97],"process":[98],"DEA.":[100,145],"variables":[102],"components":[113],"China":[115],"from":[116,131],"1990":[117],"2016":[119],"were":[120],"transformed":[121],"into":[122],"various":[123],"factors":[124],"for":[125],"this":[126,150],"efficiency":[127],"evaluation.":[128],"results":[130],"performed":[139],"better":[140,154],"fitted":[141],"than":[142],"ordinary":[144],"It":[146],"seems":[147],"likely":[148],"that":[149],"produce":[153],"correlation":[155],"input":[158],"output":[160],"variables,":[161],"also":[163],"it":[164],"return":[166],"less":[167],"variance":[168],"models.":[171],"These":[172],"possibly":[173],"help":[174],"reduce":[176],"gap":[178],"issue.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
