Measuring carbon neutrality and exploring the threshold effects of its driving factors: Evidence from China
Author
Abstract
Suggested Citation
DOI: 10.1016/j.apenergy.2024.123824
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Jing Wang & Liang Feng & Paul I. Palmer & Yi Liu & Shuangxi Fang & Hartmut Bösch & Christopher W. O’Dell & Xiaoping Tang & Dongxu Yang & Lixin Liu & ChaoZong Xia, 2020. "Large Chinese land carbon sink estimated from atmospheric carbon dioxide data," Nature, Nature, vol. 586(7831), pages 720-723, October.
- Hansen, Bruce E., 1999.
"Threshold effects in non-dynamic panels: Estimation, testing, and inference,"
Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
- Bruce E. Hansen, 1997. "Threshold effects in non-dynamic panels: Estimation, testing and inference," Boston College Working Papers in Economics 365, Boston College Department of Economics.
- Cai, Jinyang & Zheng, Huanyu & Vardanyan, Michael & Shen, Zhiyang, 2023.
"Achieving carbon neutrality through green technological progress: evidence from China,"
Energy Policy, Elsevier, vol. 173(C).
- Jinyang Cai & Huanyu Zheng & Michael Vardanyan & Zhiyang Shen, 2023. "Achieving carbon neutrality through green technological progress: evidence from China," Post-Print hal-03974869, HAL.
- Xie, Qichang & Liu, Junxian, 2019. "Combined nonlinear effects of economic growth and urbanization on CO2 emissions in China: Evidence from a panel data partially linear additive model," Energy, Elsevier, vol. 186(C).
- Zhang, Chuanguo & Tan, Zheng, 2016. "The relationships between population factors and China's carbon emissions: Does population aging matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1018-1025.
- Lin, Boqiang & Ge, Jiamin, 2021. "Does institutional freedom matter for global forest carbon sinks in the face of economic development disparity?," China Economic Review, Elsevier, vol. 65(C).
- Zhang, Fan & Deng, Xiangzheng & Phillips, Fred & Fang, Chuanglin & Wang, Chao, 2020. "Impacts of industrial structure and technical progress on carbon emission intensity: Evidence from 281 cities in China," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
- Zhao, Na & Wang, Keqing & Yuan, Yongna, 2023. "Toward the carbon neutrality: Forest carbon sinks and its spatial spillover effect in China," Ecological Economics, Elsevier, vol. 209(C).
- Wang, Yafei & Liao, Meng & Wang, Yafei & Xu, Lixiao & Malik, Arunima, 2021. "The impact of foreign direct investment on China's carbon emissions through energy intensity and emissions trading system," Energy Economics, Elsevier, vol. 97(C).
- Jing Wang & Liang Feng & Paul I. Palmer & Yi Liu & Shuangxi Fang & Hartmut Bösch & Christopher W. O’Dell & Xiaoping Tang & Dongxu Yang & Lixin Liu & ChaoZong Xia, 2020. "Publisher Correction: Large Chinese land carbon sink estimated from atmospheric carbon dioxide data," Nature, Nature, vol. 588(7837), pages 19-19, December.
- Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
- Chen, Zheng-Ao & Li, Qi & Liu, Lan-Cui & Zhang, Xian & Kuang, Liping & Jia, Li & Liu, Guizhen, 2015. "A large national survey of public perceptions of CCS technology in China," Applied Energy, Elsevier, vol. 158(C), pages 366-377.
- Chang, Ming-Chung, 2014. "Energy intensity, target level of energy intensity, and room for improvement in energy intensity: An application to the study of regions in the EU," Energy Policy, Elsevier, vol. 67(C), pages 648-655.
- Ming, Zeng & Shaojie, Ouyang & Yingjie, Zhang & Hui, Shi, 2014. "CCS technology development in China: Status, problems and countermeasures—Based on SWOT analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 604-616.
- Fujii, Hidemichi & Iwata, Kazuyuki & Chapman, Andrew & Kagawa, Shigemi & Managi, Shunsuke, 2018.
"An analysis of urban environmental Kuznets curve of CO2 emissions: Empirical analysis of 276 global metropolitan areas,"
Applied Energy, Elsevier, vol. 228(C), pages 1561-1568.
- Fujii, Hidemichi & Iwata, Kazuyuki & Chapman, Andrew & Kagawa, Shigemi & Managi, Shunsuke, 2018. "An Analysis of Urban Environmental Kuznets Curve of CO2 Emissions: Empirical Analysis of 276 Global Metropolitan Areas," MPRA Paper 87859, University Library of Munich, Germany.
- Li, Ke & Lin, Boqiang, 2015. "Impacts of urbanization and industrialization on energy consumption/CO2 emissions: Does the level of development matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1107-1122.
- Lin, Yuanxiong & Anser, Muhammad Khalid & Peng, Michael Yao-Ping & Irfan, Muhammad, 2023. "Assessment of renewable energy, financial growth and in accomplishing targets of China's cities carbon neutrality," Renewable Energy, Elsevier, vol. 205(C), pages 1082-1091.
- Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
- Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
- Brian R. Copeland & M. Scott Taylor, 1994. "North-South Trade and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(3), pages 755-787.
- Zhao, Tian & Liu, Zhixin, 2019. "A novel analysis of carbon capture and storage (CCS) technology adoption: An evolutionary game model between stakeholders," Energy, Elsevier, vol. 189(C).
- Wang, Ying & Deng, Xiangzheng & Zhang, Hongwei & Liu, Yujie & Yue, Tianxiang & Liu, Gang, 2022. "Energy endowment, environmental regulation, and energy efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
- J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
- Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002.
"Unit root tests in panel data: asymptotic and finite-sample properties,"
Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
- Tom Doan, "undated". "LEVINLIN: RATS procedure to perform Levin-Lin-Chu test for unit roots in panel data," Statistical Software Components RTS00242, Boston College Department of Economics.
- Liang, Xiaoying & Min Fan, & Xiao, Yuting & Yao, Jing, 2022. "Temporal-spatial characteristics of energy-based carbon dioxide emissions and driving factors during 2004–2019, China," Energy, Elsevier, vol. 261(PA).
- Dong, Kangyin & Taghizadeh-Hesary, Farhad & Zhao, Jun, 2022. "How inclusive financial development eradicates energy poverty in China? The role of technological innovation," Energy Economics, Elsevier, vol. 109(C).
- Wu, Linfei & Sun, Liwen & Qi, Peixiao & Ren, Xiangwei & Sun, Xiaoting, 2021. "Energy endowment, industrial structure upgrading, and CO2 emissions in China: Revisiting resource curse in the context of carbon emissions," Resources Policy, Elsevier, vol. 74(C).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Weng, Shimei & Song, Malin & Tao, Weiliang & Chen, Jianbao & Chen, Hao, 2025. "Breaking the inertia of urban energy systems: Does the new energy demonstration city construction improve carbon unlocking efficiency?," Renewable Energy, Elsevier, vol. 244(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Kai Liu & Ziyi Ni & Mei Ren & Xiaoqing Zhang, 2022. "Spatial Differences and Influential Factors of Urban Carbon Emissions in China under the Target of Carbon Neutrality," IJERPH, MDPI, vol. 19(11), pages 1-14, May.
- Zhou, Anhua & Li, Jun, 2022. "How do trade liberalization and human capital affect renewable energy consumption? Evidence from the panel threshold model," Renewable Energy, Elsevier, vol. 184(C), pages 332-342.
- Wei, Honghong & Lahiri, Radhika, 2022. "Urbanization, energy-use intensity and emissions: A sectoral approach," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 667-684.
- Li, Shuoshuo & Liu, Yaobin & Elahi, Ehsan & Meng, Xiao & Deng, Weifeng, 2023. "A new type of urbanization policy and transition of low-carbon society: A "local- neighborhood" perspective," Land Use Policy, Elsevier, vol. 131(C).
- Nagayasu, Jun, 2012.
"The threshold consumption correlation-based approach to international capital mobility: Evidence from advanced and developing countries,"
Structural Change and Economic Dynamics, Elsevier, vol. 23(3), pages 256-263.
- Nagayasu, Jun, 2012. "The threshold consumption correlation-based approach to international capital mobility: evidence from advanced and developing countries," MPRA Paper 36215, University Library of Munich, Germany.
- Afi Etonam Adetou & Komlan Fiodendji, 2019. "Finance, Institutions, Remittances and Economic growth: New Evidence from a Dynamic Panel Threshold Analysis," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(2), pages 1-4.
- Chen, Chaoyi & Pinar, Mehmet & Stengos, Thanasis, 2021. "Determinants of renewable energy consumption: Importance of democratic institutions," Renewable Energy, Elsevier, vol. 179(C), pages 75-83.
- Huang, Lingyun & Zou, Yanjun, 2020. "How to promote energy transition in China: From the perspectives of interregional relocation and environmental regulation," Energy Economics, Elsevier, vol. 92(C).
- Sung, Bongsuk & Song, Woo-Yong & Park, Sang-Do, 2018. "How foreign direct investment affects CO2 emission levels in the Chinese manufacturing industry: Evidence from panel data," Economic Systems, Elsevier, vol. 42(2), pages 320-331.
- Abdulateif A. Almulhim & Nasiru Inuwa & Maroua Chaouachi & Ahmed Samour, 2025. "Testing the Impact of Renewable Energy and Institutional Quality on Consumption-Based CO 2 Emissions: Fresh Insights from MMQR Approach," Sustainability, MDPI, vol. 17(2), pages 1-17, January.
- Che, Shuai & Wang, Jun & Chen, Honghang, 2023. "Can China's decentralized energy governance reduce carbon emissions? Evidence from new energy demonstration cities," Energy, Elsevier, vol. 284(C).
- Mehdi Hajamini & Mohammad Ali Falahi, 2014. "The nonlinear impact of government consumption expenditure on economic growth: Evidence from low and low-middle income countries," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-15, December.
- Yang Song & Dayu Liu & Qiaoru Wang, 2021. "The dual-financial-threshold effect in the “club convergence” of economic growth: a dynamic panel threshold model," Empirical Economics, Springer, vol. 61(5), pages 2713-2737, November.
- Alessio Ciarlone, 2019. "The relationship between financial development and growth: the case of emerging Europe," Questioni di Economia e Finanza (Occasional Papers) 521, Bank of Italy, Economic Research and International Relations Area.
- Xie, Pinjie & Shu, Yalin & Sun, Feihu & Li, Pin, 2024. "Decoupling economic development from carbon emissions: Insights from Chinese provinces," Energy, Elsevier, vol. 308(C).
- Amos, Sanday & Zoundi, Zakaria, 2019. "A Regime Switching Analysis of the Income-Pollution Path with time Varying- Elasticities in a Heterogeneous Panel of Countries," MPRA Paper 99577, University Library of Munich, Germany.
- Erdoğan, Seyfettin & Yıldırım, Durmuş Çağrı & Gedikli, Ayfer, 2020. "Natural resource abundance, financial development and economic growth: An investigation on Next-11 countries," Resources Policy, Elsevier, vol. 65(C).
- Lavaneesvari Manogaran* & Siok Kun Sek, 2018. "Examining the Threshold Effect of Exchange Rate Changes on Monetary Policy Reaction Function of ASEAN-5: A Panel Threshold Approach," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 243-248:2.
- Škare, Marinko & Porada-Rochoń, Małgorzata, 2023. "Are we making progress on decarbonization? A panel heterogeneous study of the long-run relationship in selected economies," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
- Galimberti, Jaqueson K., 2009.
"Conditioned Export-Led Growth Hypothesis: A Panel Threshold Regressions Approach,"
MPRA Paper
13417, University Library of Munich, Germany.
- Fernando Seabra & Jaqueson K. Galimberti, 2011. "Conditioned Export-Led Growthhypothesis: A Panel Threshold Regressions Approach," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 049, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:373:y:2024:i:c:s0306261924012078. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.