Zum Hauptinhalt springen

An interregional environmental assessment framework: revisiting environmental Kuznets curve in China.

Chu, Z ; Liu, G ; et al.
In: Environmental science and pollution research international, Jg. 31 (2024-03-01), Heft 14, S. 21471-21487
Online academicJournal

Titel:
An interregional environmental assessment framework: revisiting environmental Kuznets curve in China.
Autor/in / Beteiligte Person: Chu, Z ; Liu, G ; Yang, J
Link:
Zeitschrift: Environmental science and pollution research international, Jg. 31 (2024-03-01), Heft 14, S. 21471-21487
Veröffentlichung: <2013->: Berlin : Springer ; <i>Original Publication</i>: Landsberg, Germany : Ecomed, 2024
Medientyp: academicJournal
ISSN: 1614-7499 (electronic)
DOI: 10.1007/s11356-024-32489-6
Schlagwort:
  • Economic Development
  • Environmental Policy
  • China
  • Conservation of Natural Resources
  • Carbon Dioxide analysis
Sonstiges:
  • Nachgewiesen in: MEDLINE
  • Sprachen: English
  • Publication Type: Journal Article
  • Language: English
  • [Environ Sci Pollut Res Int] 2024 Mar; Vol. 31 (14), pp. 21471-21487. <i>Date of Electronic Publication: </i>2024 Feb 23.
  • MeSH Terms: Conservation of Natural Resources* ; Carbon Dioxide* / analysis ; Economic Development ; Environmental Policy ; China
  • References: Afionis S, Sakai M, Scott K, Barrett J, Gouldson A (2017) Consumption-based carbon accounting: does it have a future? Wiley Interdiscip Rev-Clim Chang 8(1):e438. https://doi.org/10.1002/wcc.438. (PMID: 10.1002/wcc.438) ; Aşıcı AA, Acar S (2016) Does income growth relocate ecological footprint? Ecol Indic 61:707–714. https://doi.org/10.1016/j.ecolind.2015.10.022. (PMID: 10.1016/j.ecolind.2015.10.022) ; Banerjee S, Khan MA, Ul Husnain MI (2021) Searching appropriate system boundary for accounting India’s emission inventory for the responsibility to reduce carbon emissions. J Environ Manage 295:112907. https://doi.org/10.1016/j.jenvman.2021.112907. (PMID: 10.1016/j.jenvman.2021.11290734157542) ; Cai X, Che X, Zhu B, Zhao J, Xie R (2018) Will developing countries become pollution havens for developed countries? An empirical investigation in the Belt and Road. J Clean Prod 198:624–632. https://doi.org/10.1016/j.jclepro.2018.06.291. (PMID: 10.1016/j.jclepro.2018.06.291) ; Chakravarty D (2019) Critiquing the weaker version of the environmental Kuznets curve: a consumption-based EKC analysis using dynamic panel data model. Int J Environ Sust 15(1):1–18. https://doi.org/10.18848/2325-1077/CGP/v15i01/1-18. (PMID: 10.18848/2325-1077/CGP/v15i01/1-18) ; Chen J, Yuan R, Zheng S (2023) Decoupling and scenario analysis of economy-emissions pattern in China’s 30 provinces. Environ Sci Pollut Res 30(7):19477–19494. https://doi.org/10.1007/s11356-022-23466-y. (PMID: 10.1007/s11356-022-23466-y) ; Cotta B, Coenen J, Challies E, Newig J, Lenschow A, Schilling-Vacaflor A (2022) Environmental governance in globally telecoupled systems: mapping the terrain towards an integrated research agenda. Earth Syst Gov 13:100142. https://doi.org/10.1016/j.esg.2022.100142. (PMID: 10.1016/j.esg.2022.100142) ; Dietzenbacher E, Cazcarro I, Arto I (2020) Towards a more effective climate policy on international trade. Nat Commun 11(1):1130. https://doi.org/10.1038/s41467-020-14837-5. (PMID: 10.1038/s41467-020-14837-5321118497048780) ; Dogan E, Seker F (2016) The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries. Renew Sust Energ Rev 60:1074–1085. https://doi.org/10.1016/j.rser.2016.02.006. (PMID: 10.1016/j.rser.2016.02.006) ; Duus-Otterström G, Hjorthen FD (2019) Consumption-based emissions accounting: the normative debate. Environ Polit 28(5):866–885. https://doi.org/10.1080/09644016.2018.1507467. (PMID: 10.1080/09644016.2018.1507467) ; Frodyma K, Papież M, Śmiech S (2022) Revisiting the environmental Kuznets curve in the European Union countries. Energy 241:122899. https://doi.org/10.1016/j.energy.2021.122899. (PMID: 10.1016/j.energy.2021.122899) ; Gill AR, Viswanathan KK, Hassan S (2018) The environmental Kuznets curve (EKC) and the environmental problem of the day. Renew Sust Energ Rev 81:1636–1642. https://doi.org/10.1016/j.rser.2017.05.247. (PMID: 10.1016/j.rser.2017.05.247) ; Hao Y, Huang Z, Wu H (2019) Do carbon emissions and economic growth decouple in China? An empirical analysis based on provincial panel data. Energies 12(12):2411. https://doi.org/10.3390/en12122411. (PMID: 10.3390/en12122411) ; Hubacek K, Chen X, Feng K, Wiedmann T, Shan Y (2021) Evidence of decoupling consumption-based CO 2 emissions from economic growth. Adv Appl Energy 4:100074. https://doi.org/10.1016/j.adapen.2021.100074. (PMID: 10.1016/j.adapen.2021.100074) ; Husnain MIU, Haider A, Khan MA (2021) Does the environmental Kuznets curve reliably explain a developmental issue? Environ Sci Pollut Res 28:11469–11485. https://doi.org/10.1007/s11356-020-11402-x. (PMID: 10.1007/s11356-020-11402-x) ; Jiang L, He S, Zhong Z, Zhou H, He L (2019) Revisiting environmental Kuznets curve for carbon dioxide emissions: the role of trade. Struct Change and Econ Dyn 50:245–257. https://doi.org/10.1016/j.strueco.2019.07.004. (PMID: 10.1016/j.strueco.2019.07.004) ; Jiborn M, Kander A, Kulionis V, Nielsen H, Moran DD (2018) Decoupling or delusion? Measuring emissions displacement in foreign trade. Glob Environ Change 49:27–34. https://doi.org/10.1016/j.gloenvcha.2017.12.006. (PMID: 10.1016/j.gloenvcha.2017.12.006) ; Kaika D, Zervas E (2013) The environmental Kuznets curve (EKC) theory. Part b: Critical Issues Energy Policy 62:1403–1411. https://doi.org/10.1016/j.enpol.2013.07.130. (PMID: 10.1016/j.enpol.2013.07.130) ; Karakaya E, Yılmaz B, Alataş S (2019) How production-based and consumption-based emissions accounting systems change climate policy analysis: the case of CO 2 convergence. Environ Sci Pollut Res 26:16682–16694. https://doi.org/10.1007/s11356-019-05007-2. (PMID: 10.1007/s11356-019-05007-2) ; Lazăr D, Minea A, Purcel AA (2019) Pollution and economic growth: evidence from central and eastern European countries. Energy Econo 81:1121–1131. https://doi.org/10.1016/j.eneco.2019.05.011. (PMID: 10.1016/j.eneco.2019.05.011) ; Leal PH, Marques AC (2022) The evolution of the environmental Kuznets curve hypothesis assessment: a literature review under a critical analysis perspective. Heliyon 8(11):e11521. https://doi.org/10.1016/j.heliyon.2022.e11521. (PMID: 10.1016/j.heliyon.2022.e11521364066799668524) ; Li ZR, Song Y, Zhou AN, Liu J, Pang JR, Zhang M (2020) Study on the pollution emission efficiency of China’s provincial regions: the perspective of environmental Kuznets curve. J Clean Prod 263:121497. https://doi.org/10.1016/j.jclepro.2020.121497. (PMID: 10.1016/j.jclepro.2020.121497) ; Li R, Li L, Wang Q (2022) The impact of energy efficiency on carbon emissions: evidence from the transportation sector in Chinese 30 provinces. Sust Cities Soc 82:103880. https://doi.org/10.1016/j.scs.2022.103880. (PMID: 10.1016/j.scs.2022.103880) ; Li R, Liu Q, Cai W, Liu Y, Yu Y, Zhang Y (2023a) Echelon peaking path of China’s provincial building carbon emissions: considering peak and time constraints. Energy 271:127003. https://doi.org/10.1016/j.energy.2023.127003. (PMID: 10.1016/j.energy.2023.127003) ; Li R, Wang Q, Li L, Hu S (2023b) Do natural resource rent and corruption governance reshape the environmental Kuznets curve for ecological footprint? Evidence from 158 countries. Resour Policy 85:103890. https://doi.org/10.1016/j.resourpol.2023.103890. (PMID: 10.1016/j.resourpol.2023.103890) ; Lininger C (2015) Consumption as a base for emission accounting and as a policy base. Consumption-based approaches in international climate policy. Springer, pp 17–40. https://doi.org/10.1007/978-3-319-15991-1_2. (PMID: 10.1007/978-3-319-15991-1_2) ; Liu Q, Wang Q (2017) Sources and flows of China’s virtual SO 2 emission transfers embodied in interprovincial trade: a multiregional input–output analysis. J Clean Prod 161:735–747. https://doi.org/10.1016/j.jclepro.2017.05.003. (PMID: 10.1016/j.jclepro.2017.05.003) ; Lu CX, Venevsky S, Shi XL, Wang LY, Wright JS, Wu C (2021) Econometrics of the environmental Kuznets curve: testing advancement to carbon intensity-oriented sustainability for eight economic zones in China. J Clean Prod 283:124561. https://doi.org/10.1016/j.jclepro.2020.124561. (PMID: 10.1016/j.jclepro.2020.124561) ; Mahalik MK, Mallick H, Padhan H (2021) Do educational levels influence the environmental quality? The role of renewable and non-renewable energy demand in selected BRICS countries with a new policy perspective. Renew Energy 164:419–432. https://doi.org/10.1016/j.renene.2020.09.090. (PMID: 10.1016/j.renene.2020.09.090) ; Meng J, Liu J, Xu Y, Guan D, Liu Z, Huang Y, Tao S (2016) Globalization and pollution: tele-connecting local primary PM2. 5 emissions to global consumption. Proc R Soc London Ser A-Math Phys Eng Sci 472(2195):20160380. https://doi.org/10.1098/rspa.2016.0380. (PMID: 10.1098/rspa.2016.0380) ; Mi Z, Meng J, Zheng H, Shan Y, Wei YM, Guan D (2018) A multi-regional input-output table mapping China’s economic outputs and interdependencies in 2012. Sci Data 5(1):1–12. https://doi.org/10.1038/sdata.2018.155. (PMID: 10.1038/sdata.2018.155) ; Moreau V, Vuille F (2018) Decoupling energy use and economic growth: counter evidence from structural effects and embodied energy in trade. Appl Energy 215:54–62. https://doi.org/10.1016/j.apenergy.2018.01.044. (PMID: 10.1016/j.apenergy.2018.01.044) ; Murthy KVB, Gambhir S (2018) Analyzing environmental Kuznets curve and pollution haven hypothesis in India in the context of domestic and global policy change. Australas Account Bus Financ J 12(2):134–156. https://doi.org/10.14453/aabfj.v12i2.9. (PMID: 10.14453/aabfj.v12i2.9) ; Newig J, Challies E, Cotta B, Lenschow A, Schilling-Vacaflor A (2020) Governing global telecoupling toward environmental sustainability. Ecol Soc 25(4):21. https://doi.org/10.5751/ES-11844-250421. (PMID: 10.5751/ES-11844-250421) ; Ning Y, Miao L, Ding T, Zhang B (2019) Carbon emission spillover and feedback effects in China based on a multiregional input-output model. Resour Conserv Recycl 141:211–218. https://doi.org/10.1016/j.resconrec.2018.10.022. (PMID: 10.1016/j.resconrec.2018.10.022) ; Özcan B, Öztürk I (2019) Environmental Kuznets curve (EKC): a manual. Academic Press. ; Özokcu S, Özdemir Ö (2017) Economic growth, energy, and environmental Kuznets curve. Renew Sust Energ Rev 72:639–647. https://doi.org/10.1016/j.rser.2017.01.059. (PMID: 10.1016/j.rser.2017.01.059) ; Pan C, Peters GP, Andrew RM, Korsbakken JI, Li S, Zhou P, Zhou D (2018) Structural changes in provincial emission transfers within China. Environ Sci Technol 52(22):12958–12967. https://doi.org/10.1021/acs.est.8b03424. (PMID: 10.1021/acs.est.8b0342430339021) ; Pandey S, Dogan E, Taskin D (2020) Production-based and consumption-based approaches for the energy-growth-environment nexus: evidence from Asian countries. Sustain Prod Consump 23:274–281. https://doi.org/10.1016/j.spc.2020.06.006. (PMID: 10.1016/j.spc.2020.06.006) ; Pascual U, Palomo I, Adams WM, Chan KM, Daw TM, Garmendia E, Phelps J (2017) Off-stage ecosystem service burdens: a blind spot for global sustainability. Environ Res Lett 12(7):075001. https://doi.org/10.1088/1748-9326/aa7392. (PMID: 10.1088/1748-9326/aa7392) ; Prell C, Sun L, Feng K, He J, Hubacek K (2017) Uncovering the spatially distant feedback loops of global trade: a network and input-output approach. Sci Total Environ 586:401–408. https://doi.org/10.1016/j.scitotenv.2016.11.202. (PMID: 10.1016/j.scitotenv.2016.11.20228233613) ; Purcel AA (2020) New insights into the environmental Kuznets curve hypothesis in developing and transition economies: a literature survey. Environ Econ Policy Stud 22:585–631. https://doi.org/10.1007/s10018-020-00272-9. (PMID: 10.1007/s10018-020-00272-9) ; Rocco MV, Ferrer RJF, Colombo E (2018) Understanding the energy metabolism of world economies through the joint use of production- and consumption-based energy accountings. Appl Energy 211:590–603. https://doi.org/10.1016/j.apenergy.2017.10.090. (PMID: 10.1016/j.apenergy.2017.10.090) ; Rose A, Casler S (1996) Input-output structural decomposition analysis: a critical appraisal. Econ Syst Res 8(1):33–62. https://doi.org/10.1080/09535319600000003. (PMID: 10.1080/09535319600000003) ; Salari M, Javid RJ, Noghanibehambari H (2021) The nexus between CO2 emissions, energy consumption, and economic growth in the U.S. Econ Anal Policy 69:182–194. https://doi.org/10.1016/j.eap.2020.12.007. (PMID: 10.1016/j.eap.2020.12.007) ; Schröder E, Storm S (2020) Economic growth and carbon emissions: the road to “hothouse earth” is paved with good intentions. Int J Polit Econ 49(2):153–173. https://doi.org/10.1080/08911916.2020.1778866. (PMID: 10.1080/08911916.2020.1778866) ; Sun Z, Tukker A, Behrens P (2018) Going global to local: connecting top-down accounting and local impacts, a methodological review of spatially explicit input–output approaches. Environ Sci Technol 53(3):1048–1062. https://doi.org/10.1021/acs.est.8b03148. (PMID: 10.1021/acs.est.8b031486391040) ; Tilsted JP, Bjørn A, Majeau-Bettez G, Lund JF (2021) Accounting matters: revisiting claims of decoupling and genuine green growth in Nordic countries. Ecol Econ 187:107101. https://doi.org/10.1016/j.ecolecon.2021.107101. (PMID: 10.1016/j.ecolecon.2021.107101) ; Torpman O (2022) Consumption-based emissions accounting and historical emissions. Ethics Policy Env 25(3):354–366. https://doi.org/10.1080/21550085.2022.2058296. (PMID: 10.1080/21550085.2022.2058296) ; Tukker A, Bulavskaya T, Giljum S, de Koning A, Lutter S, Simas M, Stadler K, Wood R (2014) The global resource footprint of nations. Carbon, water, land and materials embodied in trade and final consumption calculated with EXIOBASE 2.1. ; Wang Y, Geschke A, Lenzen M (2017) Constructing a time series of nested multiregion input–output tables. Int Reg Sci Rev 40(5):476–499. https://doi.org/10.1177/0160017615603596. (PMID: 10.1177/0160017615603596) ; Wang Y, Bi F, Zhang Z, Zuo J, Zillante G, Du H, Li J (2018a) Spatial production fragmentation and PM2. 5 related emissions transfer through three different trade patterns within China. J Clean Prod 195:703–720. https://doi.org/10.1016/j.jclepro.2018.05.195. (PMID: 10.1016/j.jclepro.2018.05.195) ; Wang Z, Li Y, Cai H, Wang B (2018b) Comparative analysis of regional carbon emissions accounting methods in China: production-based versus consumption-based principles. J Clean Prod 194:12–22. https://doi.org/10.1016/j.jclepro.2018.05.018. (PMID: 10.1016/j.jclepro.2018.05.018) ; Wang S, Wang J, Li S, Fang C, Feng K (2019) Socioeconomic driving forces and scenario simulation of CO 2 emissions for a fast-developing region in China. J Clean Prod 216:217–229. https://doi.org/10.1016/j.jclepro.2019.01.143. (PMID: 10.1016/j.jclepro.2019.01.143) ; Wang Q, Jiang F, Li R, Wang X (2022) Does protectionism improve environment of developing countries? A perspective of environmental efficiency assessment. Sustain Prod Consump 30:851–869. https://doi.org/10.1016/j.spc.2022.01.011. (PMID: 10.1016/j.spc.2022.01.011) ; Wang Q, Ge Y, Li R (2023a) Does improving economic efficiency reduce ecological footprint? The role of financial development, renewable energy, and industrialization. Energy Environ. https://doi.org/10.1177/0958305X231183914. (PMID: 10.1177/0958305X231183914) ; Wang Q, Zhang F, Li R (2023b) Free trade and carbon emissions revisited: the asymmetric impacts of trade diversification and trade openness. Sustain Dev. https://doi.org/10.1002/sd.2703. (PMID: 10.1002/sd.2703) ; Wang Q, Zhang F, Li R (2023c) Revisiting the environmental Kuznets curve hypothesis in 208 counties: the roles of trade openness, human capital, renewable energy and natural resource rent. Environ Res 216:114637. https://doi.org/10.1016/j.envres.2022.114637. (PMID: 10.1016/j.envres.2022.11463736283438) ; Wang Q, Hu S, Li R (2023d) Could information and communication technology (ICT) reduce carbon emissions? The role of trade openness and financial development. Telecomm Policy 102699. https://doi.org/10.1016/j.telpol.2023.102699. ; Wang Q, Ren F, Li R (2023e) Exploring the impact of geopolitics on the environmental Kuznets curve research. Sustain Dev 1–23. https://doi.org/10.1002/sd.2743. ; Wu LK, Feng TT, Luo H, Gong XL, Ge JP (2022) Testing environmental Kuznets curve hypothesis: considering the impact of Sino-US trade on three main industries in China. Environ Sci Pollut Res 29(36):54796–54812. https://doi.org/10.1007/s11356-022-19522-2. (PMID: 10.1007/s11356-022-19522-2) ; Xia D, Zhang L, Zhou D, Pian Q (2023) Continuous allocation of carbon emission quota considering different paths to carbon peak: based on multi-objective optimization. Energy Policy 178:113622. https://doi.org/10.1016/j.enpol.2023.113622. (PMID: 10.1016/j.enpol.2023.113622) ; Xu H, Zhao G, Xie R, Zhu K (2020) A trade-related CO 2 emissions and its composition: evidence from China. J Environ Manage 270:110893. https://doi.org/10.1016/j.jenvman.2020.110893. (PMID: 10.1016/j.jenvman.2020.11089332721330) ; Xu W, Xie Y, Xia D, Ji L, Huang G (2021) A multi-sectoral decomposition and decoupling analysis of carbon emissions in Guangdong province. China J Environ Manage 298:113485. https://doi.org/10.1016/j.jenvman.2021.113485. (PMID: 10.1016/j.jenvman.2021.11348534385114) ; Yang L, Yang Y, Lv H, Wang D (2020a) Whether China made efforts to decouple economic growth from CO 2 emissions?-Production vs consumption perspective. Environ Sci Pollut Res 27:5138–5154. https://doi.org/10.1007/s11356-019-07317-x. (PMID: 10.1007/s11356-019-07317-x) ; Yang Y, Qu S, Cai B, Liang S, Wang Z, Wang J, Xu M (2020b) Mapping global carbon footprint in China. Nat Commun 11(1):2237. https://doi.org/10.1038/s41467-020-15883-9. (PMID: 10.1038/s41467-020-15883-9323820187206023) ; Zhang K, Wang X (2021) Pollution haven hypothesis of global CO 2 , SO 2 , NOx—evidence from 43 economies and 56 sectors. Int J Environ Res Public Health 18(12):6552. https://doi.org/10.3390/ijerph18126552. (PMID: 10.3390/ijerph18126552342070278296498) ; Zhang Z, Zhang Z, Zhu K (2020) Allocating carbon responsibility: the role of spatial production fragmentation. Energy Econ 87:104491. https://doi.org/10.1016/j.eneco.2019.104491. (PMID: 10.1016/j.eneco.2019.104491) ; Zhou D, Zhou X, Xu Q, Wu F, Wang Q, Zha D (2018) Regional embodied carbon emissions and their transfer characteristics in China. Struct Change and Econ Dyn 46:180–193. https://doi.org/10.1016/j.strueco.2018.05.008. (PMID: 10.1016/j.strueco.2018.05.008)
  • Grant Information: 17BJY054 National Social Science Fund of China; 71971048 National Natural Science Foundation of China; 71973056 National Natural Science Foundation of China
  • Contributed Indexing: Keywords: Carbon emission transfer; Environmental Kuznets curve; Interregional connection; Multi-regional input–output model; Pollution haven effect
  • Substance Nomenclature: 142M471B3J (Carbon Dioxide)
  • Entry Date(s): Date Created: 20240223 Date Completed: 20240319 Latest Revision: 20240319
  • Update Code: 20240319

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

oder
oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

oder
oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.

xs 0 - 576
sm 576 - 768
md 768 - 992
lg 992 - 1200
xl 1200 - 1366
xxl 1366 -