The consistency of China's energy statistics and its implications for climate policy
Reliable energy statistics serve as the foundation and starting point for understanding the climate policies of any country. As the most comprehensive sources of energy data for China, China Energy Statistics Yearbooks (ESY), published by the National Bureau of Statistics (NBS), underwent three majo...
Saved in:
Published in | Journal of cleaner production Vol. 199; pp. 27 - 35 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
20.10.2018
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Reliable energy statistics serve as the foundation and starting point for understanding the climate policies of any country. As the most comprehensive sources of energy data for China, China Energy Statistics Yearbooks (ESY), published by the National Bureau of Statistics (NBS), underwent three major revisions since 2005. This paper analyzes how these three major revisions correspond to data on China's energy use from 1996 to 2012, and theirs impacts on CO2 emissions, emission intensity and the share of non-fossil energy in total energy consumption, which are key indicators of China's climate policies. Some notable changes include CO2 emissions for 2012, which increased by 594 Million tons – a figure equivalent to South Korea's annual emissions, which implies that China's emissions at peak level will be higher than previous estimation. Meanwhile, revised emission intensity data show a higher amount and lower decreasing rate, which means that China's achievements in decreasing emission intensity during 2005–2012 have been overestimated, while future difficulties for achieving the goal of 40–45% reduction will be greater. On the share of non-fossil fuel energy in China's total energy mix, the adjustments increased the indicator by 1.26%, reflecting the fact that China's effort in developing non-fossil energy had been underestimated. Discrepancies in reported scattered coal in different statistics versions are the main contributors to these changes. To further enhance the reliability of its energy statistics, and thereby its climate policies, China should remove incentives for misreporting through legal means, and make the technical system for data collection more comprehensive and accurate, with particular emphasis on scattered coal.
•China Energy Statistics Yearbooks have been subject to three major revisions since 2005.•Coal statistics had the highest levels of inconsistency while oil and natural gas data were generally reliable.•The impacts of frequent data revisions on the key indicators of China's climate policies are analyzed.•Administrative, legal, and technical improvements are needed to further improve data reliability. |
---|---|
AbstractList | Reliable energy statistics serve as the foundation and starting point for understanding the climate policies of any country. As the most comprehensive sources of energy data for China, China Energy Statistics Yearbooks (ESY), published by the National Bureau of Statistics (NBS), underwent three major revisions since 2005. This paper analyzes how these three major revisions correspond to data on China's energy use from 1996 to 2012, and theirs impacts on CO2 emissions, emission intensity and the share of non-fossil energy in total energy consumption, which are key indicators of China's climate policies. Some notable changes include CO2 emissions for 2012, which increased by 594 Million tons – a figure equivalent to South Korea's annual emissions, which implies that China's emissions at peak level will be higher than previous estimation. Meanwhile, revised emission intensity data show a higher amount and lower decreasing rate, which means that China's achievements in decreasing emission intensity during 2005–2012 have been overestimated, while future difficulties for achieving the goal of 40–45% reduction will be greater. On the share of non-fossil fuel energy in China's total energy mix, the adjustments increased the indicator by 1.26%, reflecting the fact that China's effort in developing non-fossil energy had been underestimated. Discrepancies in reported scattered coal in different statistics versions are the main contributors to these changes. To further enhance the reliability of its energy statistics, and thereby its climate policies, China should remove incentives for misreporting through legal means, and make the technical system for data collection more comprehensive and accurate, with particular emphasis on scattered coal.
•China Energy Statistics Yearbooks have been subject to three major revisions since 2005.•Coal statistics had the highest levels of inconsistency while oil and natural gas data were generally reliable.•The impacts of frequent data revisions on the key indicators of China's climate policies are analyzed.•Administrative, legal, and technical improvements are needed to further improve data reliability. Reliable energy statistics serve as the foundation and starting point for understanding the climate policies of any country. As the most comprehensive sources of energy data for China, China Energy Statistics Yearbooks (ESY), published by the National Bureau of Statistics (NBS), underwent three major revisions since 2005. This paper analyzes how these three major revisions correspond to data on China's energy use from 1996 to 2012, and theirs impacts on CO₂ emissions, emission intensity and the share of non-fossil energy in total energy consumption, which are key indicators of China's climate policies. Some notable changes include CO₂ emissions for 2012, which increased by 594 Million tons – a figure equivalent to South Korea's annual emissions, which implies that China's emissions at peak level will be higher than previous estimation. Meanwhile, revised emission intensity data show a higher amount and lower decreasing rate, which means that China's achievements in decreasing emission intensity during 2005–2012 have been overestimated, while future difficulties for achieving the goal of 40–45% reduction will be greater. On the share of non-fossil fuel energy in China's total energy mix, the adjustments increased the indicator by 1.26%, reflecting the fact that China's effort in developing non-fossil energy had been underestimated. Discrepancies in reported scattered coal in different statistics versions are the main contributors to these changes. To further enhance the reliability of its energy statistics, and thereby its climate policies, China should remove incentives for misreporting through legal means, and make the technical system for data collection more comprehensive and accurate, with particular emphasis on scattered coal. |
Author | Wu, Tong Zhao, Xiaofan Qi, Ye Li, Huimin |
Author_xml | – sequence: 1 givenname: Huimin surname: Li fullname: Li, Huimin email: liadan80@163.com organization: Beijing Climate Change Response Research and Education Center, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China – sequence: 2 givenname: Xiaofan surname: Zhao fullname: Zhao, Xiaofan email: xiaofanzhao618@gmail.com organization: Climate Policy Institute and School of Public Policy and Management, Tsinghua University, Beijing, 100084, China – sequence: 3 givenname: Tong surname: Wu fullname: Wu, Tong email: twu11@asu.edu organization: School of Life Sciences, Arizona State University, Tempe, AZ 85287-4801, USA – sequence: 4 givenname: Ye surname: Qi fullname: Qi, Ye email: qi@tsinghua.edu.cn organization: Climate Policy Institute and School of Public Policy and Management, Tsinghua University, Beijing, 100084, China |
BookMark | eNqFkEtLLDEQRoMoOD5-gpCdd9Nt0pnOAxeXy-ALBDfjOmQq1ZqhpzMm8cL8e6Pjyo2rgqrvFHznhBxOcUJCLjhrOePyat2uYcRtim3HuG6ZapmZH5AZ18o0XGl5SGbM9KaRfSePyUnOa8a4Ymo-I8vlK1KIUw654AQ7Gge6eA2Tu8wUJ0wvO5qLK_UaIFM3eRpKpmGzHQPUdQXpEBOFMWxcQbqNdb87I0eDGzOef89T8nx7s1zcN49Pdw-Lf48NCNOXBrSXng0ejNG699gPSikAJ8xcCWAe2Uoo0UkjBr3qpET0QwdixbRTptcrcUr-7P_W7m_vmIvdhAw4jm7C-J5txwXXuuOS1-j1Pgop5pxwsBDKV4GSXBgtZ_bTpV3bb5f206VlylaXle5_0NtUC6fdr9zfPYfVwv-AyWYIVTP6kBCK9TH88uEDY_WVXA |
CitedBy_id | crossref_primary_10_1016_j_egyr_2021_08_090 crossref_primary_10_1016_j_chieco_2022_101781 crossref_primary_10_1007_s12053_023_10085_w crossref_primary_10_1016_j_eiar_2021_106676 crossref_primary_10_1016_j_scitotenv_2019_134384 crossref_primary_10_1080_03003930_2024_2393718 crossref_primary_10_1007_s11053_020_09615_5 crossref_primary_10_1016_j_eap_2023_09_003 crossref_primary_10_1007_s43979_022_00008_6 crossref_primary_10_3390_en12163154 crossref_primary_10_1016_j_enpol_2019_02_031 crossref_primary_10_1016_j_enbuild_2021_111011 crossref_primary_10_3390_en15239051 crossref_primary_10_1016_j_esd_2024_101458 crossref_primary_10_1007_s11356_020_08085_9 |
Cites_doi | 10.1016/j.jclepro.2018.01.062 10.5194/acp-17-1227-2017 10.1016/j.chieco.2014.07.004 10.1080/14693062.2016.1156515 10.1126/science.325_675 10.1016/j.enpol.2014.11.010 10.1016/j.apenergy.2016.03.073 10.1111/j.0034-6586.2004.00131.x 10.1002/wcc.221 10.1016/j.jclepro.2016.11.055 10.1126/science.aad1084 10.1038/nclimate1560 10.1016/j.enpol.2016.03.037 10.1016/j.enpol.2011.08.050 10.1088/1748-9326/aa69cf 10.1016/j.enpol.2012.07.057 10.1016/j.enpol.2015.11.030 10.1016/S1043-951X(01)00067-0 10.1038/nature14677 10.1016/j.chieco.2014.06.009 10.1016/j.accre.2015.06.001 |
ContentType | Journal Article |
Copyright | 2018 Elsevier Ltd |
Copyright_xml | – notice: 2018 Elsevier Ltd |
DBID | AAYXX CITATION 7S9 L.6 |
DOI | 10.1016/j.jclepro.2018.07.094 |
DatabaseName | CrossRef AGRICOLA AGRICOLA - Academic |
DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
DatabaseTitleList | AGRICOLA |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering Statistics |
EISSN | 1879-1786 |
EndPage | 35 |
ExternalDocumentID | 10_1016_j_jclepro_2018_07_094 S0959652618320675 |
GeographicLocations | South Korea China |
GeographicLocations_xml | – name: South Korea – name: China |
GroupedDBID | --K --M ..I .~1 0R~ 1B1 1RT 1~. 1~5 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JM 9JN AABNK AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AARJD AAXUO ABFYP ABJNI ABLST ABMAC ABYKQ ACDAQ ACGFS ACRLP ADBBV ADEZE ADHUB AEBSH AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHHHB AHIDL AIEXJ AIKHN AITUG AJOXV AKIFW ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BELTK BKOJK BLECG BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA HMC IHE J1W JARJE K-O KCYFY KOM LY9 M41 MO0 MS~ N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RIG RNS ROL RPZ SCC SDF SDG SDP SES SPC SPCBC SSJ SSR SSZ T5K ~G- 29K AAHBH AAQXK AATTM AAXKI AAYWO AAYXX ABFNM ABWVN ABXDB ACRPL ACVFH ADCNI ADMUD ADNMO AEGFY AEIPS AEUPX AFJKZ AFPUW AGCQF AGQPQ AGRNS AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN BNPGV CITATION D-I FEDTE FGOYB G-2 HVGLF HZ~ R2- SEN SEW SSH WUQ ZY4 7S9 EFKBS L.6 |
ID | FETCH-LOGICAL-c395t-c8d6d0fdc99885de5f777cca39473c0de0b3732693f8b266eedf2c3b08a7958b3 |
IEDL.DBID | .~1 |
ISSN | 0959-6526 |
IngestDate | Tue Aug 05 10:44:04 EDT 2025 Thu Apr 24 23:03:48 EDT 2025 Tue Jul 01 03:02:29 EDT 2025 Fri Feb 23 02:49:28 EST 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | Climate policy Low-carbon development China Energy statistics Scattered coal |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c395t-c8d6d0fdc99885de5f777cca39473c0de0b3732693f8b266eedf2c3b08a7958b3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
PQID | 2131882161 |
PQPubID | 24069 |
PageCount | 9 |
ParticipantIDs | proquest_miscellaneous_2131882161 crossref_citationtrail_10_1016_j_jclepro_2018_07_094 crossref_primary_10_1016_j_jclepro_2018_07_094 elsevier_sciencedirect_doi_10_1016_j_jclepro_2018_07_094 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2018-10-20 |
PublicationDateYYYYMMDD | 2018-10-20 |
PublicationDate_xml | – month: 10 year: 2018 text: 2018-10-20 day: 20 |
PublicationDecade | 2010 |
PublicationTitle | Journal of cleaner production |
PublicationYear | 2018 |
Publisher | Elsevier Ltd |
Publisher_xml | – name: Elsevier Ltd |
References | Yu, Wang, Li, Qi, Tamura (bib44) 2015; 76 Elzen, Fekete, Höhne, Admiraal, Forsell, Hof, Olivier, Roelfsema, van Soest (bib7) 2016; 89 Sinton (bib33) 2001; 12 Wang (bib41) 2014 The People's Republic of China (bib38) 2017 EIA (bib5) 2016 Boden, Marland, Andres (bib1) 2016 Shan, Liu, Liu, Xu, Shao, Wang, Guan (bib32) 2016; 184 Liu, Yang (bib19) 2009; 325 NDRC (bib26) 2011 NDRC (bib28) 2015 Mi, Wei, Wang, Meng, Liu, Shan, Liu, Guan (bib23) 2017; 142 Sinton, Fridley (bib34) 2002; 8 Hong, Zhang, He, Guan, Li, Liu, Zheng (bib13) 2017; 17 Lewis, Fridley, Price, Lu, Romankiewicz (bib16) 2015; 350 Guan, Liu, Geng, Lindner, Hubacek (bib10) 2012; 2 Qi, Wu (bib31) 2013; 4 The Xinhua News Agency (bib39) 2018 Department of Economic and Social Affairs Statistics Division (bib4) 2018 Gen (bib8) 2010 OECD/IEA (bib30) 2016 The People's Republic of China (bib36) 2004 NBS (bib25) 1996-2016 The People's Republic of China (bib37) 2013 UNFCCC (bib40) 2015 Chai, Xu (bib2) 2014; 5 EIA (bib6) 2018 Ma, Song, Zhang, Sonnenfeld (bib21) 2014; 30 Holz (bib11) 2004; 50 Holz (bib12) 2014; 30 Nep, Iea (bib29) 2006 Li, Zhao, Yu, Wu, Qi (bib17) 2016; 94 Liu, Guan, Wei, Davis, Ciais, Bai, Peng, Zhang, Hubacek, Marland, Andres, Crawford-Brown, Lin, Zhao, Hong, Boden, Feng, Peters, Xi, Liu, Li, Zhao, Zeng, He (bib20) 2015; 524 NDRC (bib27) 2011 Wang (bib42) 2011; 39 Wang, William (bib43) 2011 IEA (bib14) 2017 Song, Yang, Wang, Wang, Higano, Fang (bib35) 2018; 178 Department of Climate Change, National Development and Reform Commission of China (bib3) 2014 Ke, Price, Ohshita, Fridley, Khanna, Zhou, Levine (bib15) 2012; 50 NBS (bib24) 1996-2015 Green, Stern (bib9) 2017; 17 Mi, Meng, Guan, Shan, Liu, Wang, Feng, Wei (bib22) 2017; 12 Li (bib18) 2011; 5 Hong (10.1016/j.jclepro.2018.07.094_bib13) 2017; 17 Wang (10.1016/j.jclepro.2018.07.094_bib42) 2011; 39 Yu (10.1016/j.jclepro.2018.07.094_bib44) 2015; 76 NBS (10.1016/j.jclepro.2018.07.094_bib24) 1996 Li (10.1016/j.jclepro.2018.07.094_bib17) 2016; 94 NDRC (10.1016/j.jclepro.2018.07.094_bib26) 2011 Qi (10.1016/j.jclepro.2018.07.094_bib31) 2013; 4 Li (10.1016/j.jclepro.2018.07.094_bib18) 2011; 5 EIA (10.1016/j.jclepro.2018.07.094_bib5) 2016 IEA (10.1016/j.jclepro.2018.07.094_bib14) 2017 NDRC (10.1016/j.jclepro.2018.07.094_bib28) 2015 Holz (10.1016/j.jclepro.2018.07.094_bib11) 2004; 50 Lewis (10.1016/j.jclepro.2018.07.094_bib16) 2015; 350 EIA (10.1016/j.jclepro.2018.07.094_bib6) 2018 The Xinhua News Agency (10.1016/j.jclepro.2018.07.094_bib39) 2018 Sinton (10.1016/j.jclepro.2018.07.094_bib33) 2001; 12 Mi (10.1016/j.jclepro.2018.07.094_bib22) 2017; 12 The People's Republic of China (10.1016/j.jclepro.2018.07.094_bib37) 2013 Green (10.1016/j.jclepro.2018.07.094_bib9) 2017; 17 The People's Republic of China (10.1016/j.jclepro.2018.07.094_bib36) 2004 Boden (10.1016/j.jclepro.2018.07.094_bib1) 2016 Department of Climate Change (10.1016/j.jclepro.2018.07.094_bib3) 2014 Sinton (10.1016/j.jclepro.2018.07.094_bib34) 2002; 8 UNFCCC (10.1016/j.jclepro.2018.07.094_bib40) 2015 Elzen (10.1016/j.jclepro.2018.07.094_bib7) 2016; 89 Holz (10.1016/j.jclepro.2018.07.094_bib12) 2014; 30 Ke (10.1016/j.jclepro.2018.07.094_bib15) 2012; 50 The People's Republic of China (10.1016/j.jclepro.2018.07.094_bib38) 2017 Chai (10.1016/j.jclepro.2018.07.094_bib2) 2014; 5 Department of Economic and Social Affairs Statistics Division (10.1016/j.jclepro.2018.07.094_bib4) 2018 Gen (10.1016/j.jclepro.2018.07.094_bib8) 2010 NDRC (10.1016/j.jclepro.2018.07.094_bib27) 2011 Liu (10.1016/j.jclepro.2018.07.094_bib19) 2009; 325 Mi (10.1016/j.jclepro.2018.07.094_bib23) 2017; 142 OECD/IEA (10.1016/j.jclepro.2018.07.094_bib30) 2016 Guan (10.1016/j.jclepro.2018.07.094_bib10) 2012; 2 Ma (10.1016/j.jclepro.2018.07.094_bib21) 2014; 30 Song (10.1016/j.jclepro.2018.07.094_bib35) 2018; 178 Wang (10.1016/j.jclepro.2018.07.094_bib41) 2014 Shan (10.1016/j.jclepro.2018.07.094_bib32) 2016; 184 Nep (10.1016/j.jclepro.2018.07.094_bib29) 2006 Liu (10.1016/j.jclepro.2018.07.094_bib20) 2015; 524 Wang (10.1016/j.jclepro.2018.07.094_bib43) 2011 NBS (10.1016/j.jclepro.2018.07.094_bib25) 1996 |
References_xml | – year: 2015 ident: bib28 article-title: Enhanced Actions on Climate Change: China's Intended Nationally Determined Contributions National Development and Reform Commission of China Beijing – volume: 12 year: 2017 ident: bib22 article-title: Pattern changes in determinants of Chinese emissions publication-title: Environ. Res. Lett. – year: 2018 ident: bib39 article-title: Many local Government Exposed Their GDP Are Exaggerated – volume: 39 start-page: 7284 year: 2011 end-page: 7289 ident: bib42 article-title: On China's energy intensity statistics: toward a comprehensive and transparent indicator publication-title: Energy Pol. – volume: 4 start-page: 301 year: 2013 end-page: 313 ident: bib31 article-title: The politics of climate change in China publication-title: Wiley Interdiscipl. Rev. Clim. Change – volume: 184 start-page: 742 year: 2016 end-page: 750 ident: bib32 article-title: New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors publication-title: Appl. Energy – volume: 142 start-page: 2227 year: 2017 end-page: 2236 ident: bib23 article-title: Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030 publication-title: J. Clean. Prod. – year: 2015 ident: bib40 article-title: ‘The Paris Agreement’, the Conference of the Partie – volume: 350 start-page: 1034 year: 2015 end-page: 1036 ident: bib16 article-title: Understanding China's non–fossil energy targets publication-title: Science – year: 2014 ident: bib3 article-title: Research on China's Greenhouse Gas Inventory 2005 – year: 2018 ident: bib4 article-title: International Recommendations for Energy Statistics – volume: 17 start-page: 1 year: 2017 end-page: 23 ident: bib13 article-title: Variations of China's emission estimates: response to uncertainties in energy statistics publication-title: Atmos. Chem. Phys. – year: 2016 ident: bib5 article-title: Total Carbon Dioxide Emissions from the Consumption of Energy 2014 – volume: 2 start-page: 672 year: 2012 end-page: 675 ident: bib10 article-title: The gigatonne gap in China's carbon dioxide inventories publication-title: Nat. Clim. Change – year: 2017 ident: bib14 article-title: CO2 Emissions from Fuel Combustion – volume: 178 start-page: 688 year: 2018 end-page: 702 ident: bib35 article-title: Exploring potential pathways towards fossil energy-related GHG emission peak prior to 2030 for China: an integrated input-output simulation model publication-title: J. Clean. Prod. – year: 2013 ident: bib37 article-title: Second National Communication on Climate Change Beijing – year: 2017 ident: bib38 article-title: First Biennial Update Report on Climate Change, Beijing – year: 2011 ident: bib26 article-title: The 12th Five-year Plan for National Economic and Social Development Program – year: 2016 ident: bib30 article-title: IEA CO2 Emissions from Fuel Combustion 2016 – volume: 325 start-page: 675 year: 2009 end-page: 676 ident: bib19 article-title: China fights against statistical corruption publication-title: Science – volume: 50 start-page: 562 year: 2012 end-page: 569 ident: bib15 article-title: China's industrial energy consumption trends and impacts of the Top-1000 enterprises energy-saving program and the ten key energy-saving projects publication-title: Energy Pol. – volume: 30 start-page: 309 year: 2014 end-page: 338 ident: bib12 article-title: The quality of China's GDP statistics publication-title: China Econ. Rev. – volume: 5 start-page: 237 year: 2011 end-page: 249 ident: bib18 article-title: Dynamic mechanism for the decline of China's energy intensity during the 11th FYP (Five-Year Plan) publication-title: Front. Energy – year: 2016 ident: bib1 article-title: Global, Regional, and National Fossil-Fuel CO2 Emissions, Carbon Dioxide Information Analysis Center – volume: 524 start-page: 335 year: 2015 end-page: 338 ident: bib20 article-title: Reduced carbon emission estimates from fossil fuel combustion and cement production in China publication-title: Nature – year: 2018 ident: bib6 article-title: A Full List of Content Changes to All AER Reports by Year – volume: 8 start-page: 22 year: 2002 end-page: 35 ident: bib34 article-title: A guide to China's energy statistics publication-title: J. Energy Lit. – volume: 94 start-page: 64 year: 2016 end-page: 76 ident: bib17 article-title: China's numerical management system for reducing national energy intensity publication-title: Energy Pol. – year: 2006 ident: bib29 article-title: The IPCC Guidelines for National Greenhouse Gas Inventories – year: 2004 ident: bib36 article-title: Initial National Communication on Climate Change Beijing – year: 2011 ident: bib43 article-title: Understanding Energy Intensity Data in China, Carnegie Endowment for International Peace – year: 1996-2016 ident: bib25 article-title: China Statistical Yearbook – volume: 89 start-page: 224 year: 2016 end-page: 236 ident: bib7 article-title: Greenhouse gas emissions from current and enhanced policies of China until 2030: can emissions peak before 2030? publication-title: Energy Pol. – year: 1996-2015 ident: bib24 article-title: China Energy Statistical Yearbook, 1996–2014 – year: 2011 ident: bib27 article-title: Compilation Guidelines for Provincial GHG Emission Inventories Beijing – volume: 17 start-page: 423 year: 2017 end-page: 442 ident: bib9 article-title: China's changing economy: implications for its carbon dioxide emissions publication-title: Clim. Pol. – volume: 50 start-page: 381 year: 2004 end-page: 409 ident: bib11 article-title: China/'s statistical system in transition: challenges, data problems, and institutional innovations publication-title: Rev. Income Wealth – year: 2010 ident: bib8 article-title: Work Manual on Energy Statistics – year: 2014 ident: bib41 article-title: Suggestions on China's Energy Statistical System Reform, China Coal Consumption Cap Plan and Policy Research Project – volume: 12 start-page: 373 year: 2001 end-page: 383 ident: bib33 article-title: Accuracy and reliability of China's energy statistics publication-title: China Econ. Rev. – volume: 30 start-page: 353 year: 2014 end-page: 369 ident: bib21 article-title: Explaining sectoral discrepancies between national and provincial statistics in China publication-title: China Econ. Rev. – volume: 76 start-page: 132 year: 2015 end-page: 145 ident: bib44 article-title: Ex-post assessment of China's industrial energy efficiency policies during the 11th Five-Year Plan publication-title: Energy Pol. – volume: 5 start-page: 169 year: 2014 end-page: 180 ident: bib2 article-title: Modeling an emissions peak in China around 2030: synergies or trade-offs between economy, energy and climate security publication-title: Adv. Clim. Change Res. – year: 2018 ident: 10.1016/j.jclepro.2018.07.094_bib4 – volume: 178 start-page: 688 year: 2018 ident: 10.1016/j.jclepro.2018.07.094_bib35 article-title: Exploring potential pathways towards fossil energy-related GHG emission peak prior to 2030 for China: an integrated input-output simulation model publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2018.01.062 – volume: 17 start-page: 1 year: 2017 ident: 10.1016/j.jclepro.2018.07.094_bib13 article-title: Variations of China's emission estimates: response to uncertainties in energy statistics publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-17-1227-2017 – year: 1996 ident: 10.1016/j.jclepro.2018.07.094_bib24 – volume: 30 start-page: 353 year: 2014 ident: 10.1016/j.jclepro.2018.07.094_bib21 article-title: Explaining sectoral discrepancies between national and provincial statistics in China publication-title: China Econ. Rev. doi: 10.1016/j.chieco.2014.07.004 – volume: 17 start-page: 423 year: 2017 ident: 10.1016/j.jclepro.2018.07.094_bib9 article-title: China's changing economy: implications for its carbon dioxide emissions publication-title: Clim. Pol. doi: 10.1080/14693062.2016.1156515 – volume: 325 start-page: 675 year: 2009 ident: 10.1016/j.jclepro.2018.07.094_bib19 article-title: China fights against statistical corruption publication-title: Science doi: 10.1126/science.325_675 – year: 2015 ident: 10.1016/j.jclepro.2018.07.094_bib28 – volume: 76 start-page: 132 year: 2015 ident: 10.1016/j.jclepro.2018.07.094_bib44 article-title: Ex-post assessment of China's industrial energy efficiency policies during the 11th Five-Year Plan publication-title: Energy Pol. doi: 10.1016/j.enpol.2014.11.010 – year: 2011 ident: 10.1016/j.jclepro.2018.07.094_bib27 – year: 1996 ident: 10.1016/j.jclepro.2018.07.094_bib25 – volume: 184 start-page: 742 year: 2016 ident: 10.1016/j.jclepro.2018.07.094_bib32 article-title: New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors publication-title: Appl. Energy doi: 10.1016/j.apenergy.2016.03.073 – year: 2015 ident: 10.1016/j.jclepro.2018.07.094_bib40 – volume: 50 start-page: 381 year: 2004 ident: 10.1016/j.jclepro.2018.07.094_bib11 article-title: China/'s statistical system in transition: challenges, data problems, and institutional innovations publication-title: Rev. Income Wealth doi: 10.1111/j.0034-6586.2004.00131.x – volume: 4 start-page: 301 year: 2013 ident: 10.1016/j.jclepro.2018.07.094_bib31 article-title: The politics of climate change in China publication-title: Wiley Interdiscipl. Rev. Clim. Change doi: 10.1002/wcc.221 – year: 2014 ident: 10.1016/j.jclepro.2018.07.094_bib41 – volume: 142 start-page: 2227 year: 2017 ident: 10.1016/j.jclepro.2018.07.094_bib23 article-title: Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030 publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2016.11.055 – volume: 350 start-page: 1034 year: 2015 ident: 10.1016/j.jclepro.2018.07.094_bib16 article-title: Understanding China's non–fossil energy targets publication-title: Science doi: 10.1126/science.aad1084 – volume: 2 start-page: 672 year: 2012 ident: 10.1016/j.jclepro.2018.07.094_bib10 article-title: The gigatonne gap in China's carbon dioxide inventories publication-title: Nat. Clim. Change doi: 10.1038/nclimate1560 – year: 2011 ident: 10.1016/j.jclepro.2018.07.094_bib26 – volume: 94 start-page: 64 year: 2016 ident: 10.1016/j.jclepro.2018.07.094_bib17 article-title: China's numerical management system for reducing national energy intensity publication-title: Energy Pol. doi: 10.1016/j.enpol.2016.03.037 – year: 2010 ident: 10.1016/j.jclepro.2018.07.094_bib8 – volume: 8 start-page: 22 year: 2002 ident: 10.1016/j.jclepro.2018.07.094_bib34 article-title: A guide to China's energy statistics publication-title: J. Energy Lit. – volume: 39 start-page: 7284 year: 2011 ident: 10.1016/j.jclepro.2018.07.094_bib42 article-title: On China's energy intensity statistics: toward a comprehensive and transparent indicator publication-title: Energy Pol. doi: 10.1016/j.enpol.2011.08.050 – volume: 12 year: 2017 ident: 10.1016/j.jclepro.2018.07.094_bib22 article-title: Pattern changes in determinants of Chinese emissions publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/aa69cf – volume: 50 start-page: 562 year: 2012 ident: 10.1016/j.jclepro.2018.07.094_bib15 article-title: China's industrial energy consumption trends and impacts of the Top-1000 enterprises energy-saving program and the ten key energy-saving projects publication-title: Energy Pol. doi: 10.1016/j.enpol.2012.07.057 – year: 2017 ident: 10.1016/j.jclepro.2018.07.094_bib14 – volume: 89 start-page: 224 year: 2016 ident: 10.1016/j.jclepro.2018.07.094_bib7 article-title: Greenhouse gas emissions from current and enhanced policies of China until 2030: can emissions peak before 2030? publication-title: Energy Pol. doi: 10.1016/j.enpol.2015.11.030 – year: 2006 ident: 10.1016/j.jclepro.2018.07.094_bib29 – volume: 12 start-page: 373 year: 2001 ident: 10.1016/j.jclepro.2018.07.094_bib33 article-title: Accuracy and reliability of China's energy statistics publication-title: China Econ. Rev. doi: 10.1016/S1043-951X(01)00067-0 – volume: 524 start-page: 335 year: 2015 ident: 10.1016/j.jclepro.2018.07.094_bib20 article-title: Reduced carbon emission estimates from fossil fuel combustion and cement production in China publication-title: Nature doi: 10.1038/nature14677 – year: 2014 ident: 10.1016/j.jclepro.2018.07.094_bib3 – year: 2016 ident: 10.1016/j.jclepro.2018.07.094_bib5 – volume: 30 start-page: 309 year: 2014 ident: 10.1016/j.jclepro.2018.07.094_bib12 article-title: The quality of China's GDP statistics publication-title: China Econ. Rev. doi: 10.1016/j.chieco.2014.06.009 – year: 2004 ident: 10.1016/j.jclepro.2018.07.094_bib36 – year: 2017 ident: 10.1016/j.jclepro.2018.07.094_bib38 – year: 2013 ident: 10.1016/j.jclepro.2018.07.094_bib37 – year: 2018 ident: 10.1016/j.jclepro.2018.07.094_bib6 – year: 2016 ident: 10.1016/j.jclepro.2018.07.094_bib1 – year: 2011 ident: 10.1016/j.jclepro.2018.07.094_bib43 – year: 2018 ident: 10.1016/j.jclepro.2018.07.094_bib39 – year: 2016 ident: 10.1016/j.jclepro.2018.07.094_bib30 – volume: 5 start-page: 169 year: 2014 ident: 10.1016/j.jclepro.2018.07.094_bib2 article-title: Modeling an emissions peak in China around 2030: synergies or trade-offs between economy, energy and climate security publication-title: Adv. Clim. Change Res. doi: 10.1016/j.accre.2015.06.001 – volume: 5 start-page: 237 year: 2011 ident: 10.1016/j.jclepro.2018.07.094_bib18 article-title: Dynamic mechanism for the decline of China's energy intensity during the 11th FYP (Five-Year Plan) publication-title: Front. Energy |
SSID | ssj0017074 |
Score | 2.331656 |
Snippet | Reliable energy statistics serve as the foundation and starting point for understanding the climate policies of any country. As the most comprehensive sources... |
SourceID | proquest crossref elsevier |
SourceType | Aggregation Database Enrichment Source Index Database Publisher |
StartPage | 27 |
SubjectTerms | carbon dioxide China Climate policy coal data collection emissions factor energy Energy statistics environmental policy greenhouse gas emissions Low-carbon development Scattered coal South Korea statistics yearbooks |
Title | The consistency of China's energy statistics and its implications for climate policy |
URI | https://dx.doi.org/10.1016/j.jclepro.2018.07.094 https://www.proquest.com/docview/2131882161 |
Volume | 199 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEF5KvehBfOKzrCB4Spt2k-zmWIqlKvZiC70tyT4gpaTFpAcv_nZn8qhVkILHhGwIM7PffLuZ-ZaQe8YYF4FwHQOLA8eLfAVTCvetwoCbMPCUirEb-XUcjKbe88yfNcig7oXBssoK-0tML9C6utOprNlZJUnnDXewAh9WABCUyHuxg93jGOXtz02ZR5e7pRIzbnfh099dPJ15ew4vA6DCCi9RaHiG3l_56RdSF-lneEQOK95I--WnHZOGSU_IwZaa4CmZgMupwoLXDInwB11aWhyP_ZBRU7T4UWwfKpWZaZRqmuQZTbZKyikwWKoWCbBYQ1eFYvAZmQ4fJ4ORUx2a4CgW-rmjhA60a7WCdZTwtfEt5xzcxEKPM-Vq48aMA2cLmRUxZGfIkbanWOyKiIe-iNk5aabL1FwQaoS2SKCs0SHM8ygGNqAgwWvGDbM2uiRebSqpKkVxPNhiIevSsbmsLCzRwtLlEix8SdqbYatSUmPXAFH7Qf6IDQmwv2voXe03CfMGf4ZEqVmuM9nrApqJHhDeq_-__prs4xXmsp57Q5r5-9rcAknJ41YRhS2y1396GY2_AP0t6IY |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEF5qPagH8Yn1uYLgKW3aTbKboxSlatuLLfS2JPuAlJIW2x68-NudyaNWQQpek-wSZnZmvt2d-YaQO8YYF4FwHQObA8eLfAUmhedWYcBNGHhKxViN3OsHnaH3MvJHFdIua2EwrbLw_blPz7x18aRRSLMxS5LGG55gBT7sAGBRIu7dItsemC-2Mah_rvI8mtzNqZjxvAs__y7jaYzrY5gNPBWmeImMxDP0_gpQv1x1Fn-eDsh-ARzpQ_5vh6Ri0iOyt0YneEwGoHOqMON1jkj4g04tzfpj38-pyWr8KNYP5dTMNEo1TRZzmqzllFOAsFRNEoCxhs4yyuATMnx6HLQ7TtE1wVEs9BeOEjrQrtUKNlLC18a3nHPQEws9zpSrjRszDqAtZFbEEJ4hSNqWYrErIh76ImanpJpOU3NGqBHaIoKyRodg6FEMcEBBhNeMG2ZtVCNeKSqpCkpx7GwxkWXu2FgWEpYoYelyCRKukfpq2Czn1Ng0QJR6kD8WhwS_v2nobak3CYaDtyFRaqbLuWw1wZ2JFiDe8_9Pf0N2OoNeV3af-68XZBffYGBruZekunhfmitALIv4OluRX1pJ6hQ |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+consistency+of+China%27s+energy+statistics+and+its+implications+for+climate+policy&rft.jtitle=Journal+of+cleaner+production&rft.au=Li%2C+Huimin&rft.au=Zhao%2C+Xiaofan&rft.au=Wu%2C+Tong&rft.au=Qi%2C+Ye&rft.date=2018-10-20&rft.issn=0959-6526&rft.volume=199&rft.spage=27&rft.epage=35&rft_id=info:doi/10.1016%2Fj.jclepro.2018.07.094&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_jclepro_2018_07_094 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0959-6526&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0959-6526&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0959-6526&client=summon |