Does the Effort Meet the Challenge in Promoting Low-Carbon City?—A Perspective of Global Practice
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Shuai, Chenyang & Shen, Liyin & Jiao, Liudan & Wu, Ya & Tan, Yongtao, 2017. "Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011," Applied Energy, Elsevier, vol. 187(C), pages 310-325.
- Duan, Na & Guo, Jun-Peng & Xie, Bai-Chen, 2016. "Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach," Applied Energy, Elsevier, vol. 162(C), pages 1552-1563.
- Howard H. Chang & Jingwen Zhou & Montserrat Fuentes, 2010. "Impact of Climate Change on Ambient Ozone Level and Mortality in Southeastern United States," IJERPH, MDPI, vol. 7(7), pages 1-15, July.
- World Bank, 2015. "World Development Indicators 2015," World Bank Publications - Books, The World Bank Group, number 21634.
- Alcantara, Vicent & Padilla, Emilio, 2003. ""Key" sectors in final energy consumption: an input-output application to the Spanish case," Energy Policy, Elsevier, vol. 31(15), pages 1673-1678, December.
- Gustavsson, Leif & Börjesson, Pål & Johansson, Bengt & Svenningsson, Per, 1995. "Reducing CO2 emissions by substituting biomass for fossil fuels," Energy, Elsevier, vol. 20(11), pages 1097-1113.
- Maizlish, N. & Woodcock, J. & Co, S. & Ostro, B. & Fanai, A. & Fairley, D., 2013. "Health cobenefits and transportation-related reductions in greenhouse gas emissions in the San Francisco Bay Area," American Journal of Public Health, American Public Health Association, vol. 103(4), pages 703-709.
- Geng, Yong & Zhao, Hongyan & Liu, Zhu & Xue, Bing & Fujita, Tsuyoshi & Xi, Fengming, 2013. "Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning," Energy Policy, Elsevier, vol. 60(C), pages 820-826.
- Akimoto, Keigo & Sano, Fuminori & Homma, Takashi & Oda, Junichiro & Nagashima, Miyuki & Kii, Masanobu, 2010. "Estimates of GHG emission reduction potential by country, sector, and cost," Energy Policy, Elsevier, vol. 38(7), pages 3384-3393, July.
- Liang, Sai & Zhang, Tianzhu, 2011. "What is driving CO2 emissions in a typical manufacturing center of South China? The case of Jiangsu Province," Energy Policy, Elsevier, vol. 39(11), pages 7078-7083.
- Meng, Lina & Graus, Wina & Worrell, Ernst & Huang, Bo, 2014. "Estimating CO2 (carbon dioxide) emissions at urban scales by DMSP/OLS (Defense Meteorological Satellite Program's Operational Linescan System) nighttime light imagery: Methodological challenges and a ," Energy, Elsevier, vol. 71(C), pages 468-478.
- Zhang, Wei & Li, Ke & Zhou, Dequn & Zhang, Wenrui & Gao, Hui, 2016. "Decomposition of intensity of energy-related CO2 emission in Chinese provinces using the LMDI method," Energy Policy, Elsevier, vol. 92(C), pages 369-381.
- Mayrhofer, Jan P. & Gupta, Joyeeta, 2016. "The science and politics of co-benefits in climate policy," Environmental Science & Policy, Elsevier, vol. 57(C), pages 22-30.
- Carolyn Kousky & Stephen H. Schneider, 2003. "Global climate policy: will cities lead the way?," Climate Policy, Taylor & Francis Journals, vol. 3(4), pages 359-372, December.
- Xiao, He & Wei, Qingpeng & Wang, Hailin, 2014. "Marginal abatement cost and carbon reduction potential outlook of key energy efficiency technologies in China׳s building sector to 2030," Energy Policy, Elsevier, vol. 69(C), pages 92-105.
- Gomi, Kei & Shimada, Kouji & Matsuoka, Yuzuru, 2010. "A low-carbon scenario creation method for a local-scale economy and its application in Kyoto city," Energy Policy, Elsevier, vol. 38(9), pages 4783-4796, September.
- Su, Yongxian & Chen, Xiuzhi & Li, Yong & Liao, Jishan & Ye, Yuyao & Zhang, Hongou & Huang, Ningsheng & Kuang, Yaoqiu, 2014. "China׳s 19-year city-level carbon emissions of energy consumptions, driving forces and regionalized mitigation guidelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 231-243.
- World Bank, 2009. "Convenient Solutions to an Inconvenient Truth : Ecosystem-based Approaches to Climate Change," World Bank Publications - Reports 3062, The World Bank Group.
- Phdungsilp, Aumnad, 2010. "Integrated energy and carbon modeling with a decision support system: Policy scenarios for low-carbon city development in Bangkok," Energy Policy, Elsevier, vol. 38(9), pages 4808-4817, September.
- World Bank & IFC & MIGA, 2016. "World Bank Group Climate Change Action Plan 2016-2020," World Bank Publications - Books, The World Bank Group, number 24451.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Haoran Yang & Hao Zheng & Hongguang Liu & Qun Wu, 2019. "NonLinear Effects of Environmental Regulation on Eco-Efficiency under the Constraint of Land Use Carbon Emissions: Evidence Based on a Bootstrapping Approach and Panel Threshold Model," IJERPH, MDPI, vol. 16(10), pages 1-20, May.
- Shiju Liao & Liyin Shen & Xi Chen & Xiangrui Xu & Qingqing Wang & Ziwei Chen & Haijun Bao, 2024. "Correction Factor for Mitigating the ‘One-Size-Fits-All’ Phenomenon in Assessing Low-Carbon City Performance," Land, MDPI, vol. 13(4), pages 1-24, March.
- Zhaosu Meng & Huan Wang & Baona Wang, 2018. "Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China," IJERPH, MDPI, vol. 15(11), pages 1-15, November.
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.- Liyin Shen & Yingli Lou & Yali Huang & Jindao Chen, 2018. "A driving–driven perspective on the key carbon emission sectors in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(1), pages 349-371, August.
- Shi, Kaifang & Chen, Yun & Li, Linyi & Huang, Chang, 2018. "Spatiotemporal variations of urban CO2 emissions in China: A multiscale perspective," Applied Energy, Elsevier, vol. 211(C), pages 218-229.
- Gui, Shusen & Mu, Hailin & Li, Nan, 2014. "Analysis of impact factors on China's CO2 emissions from the view of supply chain paths," Energy, Elsevier, vol. 74(C), pages 405-416.
- Wang, Zhiping & Feng, Chao & Chen, Jinyu & Huang, Jianbai, 2017. "The driving forces of material use in China: An index decomposition analysis," Resources Policy, Elsevier, vol. 52(C), pages 336-348.
- Xinlin Zhang & Yuan Zhao & Qi Sun & Changjian Wang, 2017. "Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
- Xie, Yanhua & Weng, Qihao, 2016. "Detecting urban-scale dynamics of electricity consumption at Chinese cities using time-series DMSP-OLS (Defense Meteorological Satellite Program-Operational Linescan System) nighttime light imageries," Energy, Elsevier, vol. 100(C), pages 177-189.
- Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 813-833.
- Qingyou Yan & Yaxian Wang & Tomas Baležentis & Yikai Sun & Dalia Streimikiene, 2018. "Energy-Related CO 2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement," Energies, MDPI, vol. 11(5), pages 1-25, April.
- Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
- Wang, Hongsheng & Wang, Yunxia & Wang, Haikun & Liu, Miaomiao & Zhang, Yanxia & Zhang, Rongrong & Yang, Jie & Bi, Jun, 2014. "Mitigating greenhouse gas emissions from China's cities: Case study of Suzhou," Energy Policy, Elsevier, vol. 68(C), pages 482-489.
- Xiao, Hongwei & Ma, Zhongyu & Mi, Zhifu & Kelsey, John & Zheng, Jiali & Yin, Weihua & Yan, Min, 2018. "Spatio-temporal simulation of energy consumption in China's provinces based on satellite night-time light data," Applied Energy, Elsevier, vol. 231(C), pages 1070-1078.
- Cui, Yuanzheng & Zhang, Weishi & Wang, Can & Streets, David G. & Xu, Ying & Du, Mingxi & Lin, Jintai, 2019. "Spatiotemporal dynamics of CO2 emissions from central heating supply in the North China Plain over 2012–2016 due to natural gas usage," Applied Energy, Elsevier, vol. 241(C), pages 245-256.
- Feng, Tong & Lin, Zhongguo & Du, Huibin & Qiu, Yueming & Zuo, Jian, 2021. "Does low-carbon pilot city program reduce carbon intensity? Evidence from Chinese cities," Research in International Business and Finance, Elsevier, vol. 58(C).
- Hooman Farzaneh & Jose A. Puppim de Oliveira & Benjamin McLellan & Hideaki Ohgaki, 2019. "Towards a Low Emission Transport System: Evaluating the Public Health and Environmental Benefits," Energies, MDPI, vol. 12(19), pages 1-17, September.
- Changjian Wang & Fei Wang, 2015. "Structural Decomposition Analysis of Carbon Emissions and Policy Recommendations for Energy Sustainability in Xinjiang," Sustainability, MDPI, vol. 7(6), pages 1-20, June.
- Shi, Kaifang & Yu, Bailang & Zhou, Yuyu & Chen, Yun & Yang, Chengshu & Chen, Zuoqi & Wu, Jianping, 2019. "Spatiotemporal variations of CO2 emissions and their impact factors in China: A comparative analysis between the provincial and prefectural levels," Applied Energy, Elsevier, vol. 233, pages 170-181.
- Chuyu Xia & Yan Li & Yanmei Ye & Zhou Shi & Jingming Liu, 2017. "Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province," Energies, MDPI, vol. 10(11), pages 1-16, October.
- Shi, Kaifang & Chen, Yun & Yu, Bailang & Xu, Tingbao & Chen, Zuoqi & Liu, Rui & Li, Linyi & Wu, Jianping, 2016. "Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis," Applied Energy, Elsevier, vol. 168(C), pages 523-533.
- Audrey de Nazelle & Charlotte J. Roscoe & Aina Roca-Barcelό & Giselle Sebag & Gudrun Weinmayr & Carlos Dora & Kristie L. Ebi & Mark J. Nieuwenhuijsen & Maya Negev, 2021. "Urban Climate Policy and Action through a Health Lens—An Untapped Opportunity," IJERPH, MDPI, vol. 18(23), pages 1-9, November.
- Wang, Kunlun & Zheng, Leven J. & Zhang, Justin Zuopeng & Yao, Hongjiang, 2022. "The impact of promoting new energy vehicles on carbon intensity: Causal evidence from China," Energy Economics, Elsevier, vol. 114(C).
More about this item
Keywords
low-carbon city; carbon emissions; emission reduction policy; global perspective; climate change; sustainability;All these keywords.
Statistics
Access and download statisticsCorrections
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:gam:jijerp:v:15:y:2018:i:7:p:1334-:d:154365. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.