Determining Multi-Layer Factors That Drive the Carbon Capability of Urban Residents in Response to Climate Change: An Exploratory Qualitative Study in China
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Ahmed, Qureshi Intikhab & Lu, Huapu & Ye, Shi, 2008. "Urban transportation and equity: A case study of Beijing and Karachi," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 125-139, January.
- Shuai Yang & Yu Wang & Wengang Ao & Yun Bai & Chuan Li, 2018. "Prediction and Analysis of CO 2 Emission in Chongqing for the Protection of Environment and Public Health," IJERPH, MDPI, vol. 15(3), pages 1-15, March.
- Wei, Jia & Chen, Hong & Cui, Xiaotong & Long, Ruyin, 2016. "Carbon capability of urban residents and its structure: Evidence from a survey of Jiangsu Province in China," Applied Energy, Elsevier, vol. 173(C), pages 635-649.
- Wang, Qunwei & Zhou, Peng & Zhou, Dequn, 2012. "Efficiency measurement with carbon dioxide emissions: The case of China," Applied Energy, Elsevier, vol. 90(1), pages 161-166.
- Jiang, Ping & Chen, Yihui & Xu, Bin & Dong, Wenbo & Kennedy, Erin, 2013. "Building low carbon communities in China: The role of individual’s behaviour change and engagement," Energy Policy, Elsevier, vol. 60(C), pages 611-620.
- Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
- Yu, Shiwei & Wei, Yi-Ming & Fan, Jingli & Zhang, Xian & Wang, Ke, 2012.
"Exploring the regional characteristics of inter-provincial CO2 emissions in China: An improved fuzzy clustering analysis based on particle swarm optimization,"
Applied Energy, Elsevier, vol. 92(C), pages 552-562.
- Shiwei Yu & Yi-Ming Wei & Jing-Li Fan & Xian Zhang & Ke Wang, 2011. "Exploring the regional characteristics of inter-provincial CO2 emissions in China:An improved fuzzy clustering analysis based on particle swarm optimization," CEEP-BIT Working Papers 22, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Tai-Yi Yu & Tai-Kuei Yu, 2017. "The Moderating Effects of Students’ Personality Traits on Pro-Environmental Behavioral Intentions in Response to Climate Change," IJERPH, MDPI, vol. 14(12), pages 1-20, November.
- Wei, Jia & Chen, Hong & Long, Ruyin, 2016. "Is ecological personality always consistent with low-carbon behavioral intention of urban residents?," Energy Policy, Elsevier, vol. 98(C), pages 343-352.
- Chen, Hong & Long, Ruyin & Niu, Wenjing & Feng, Qun & Yang, Ranran, 2014. "How does individual low-carbon consumption behavior occur? – An analysis based on attitude process," Applied Energy, Elsevier, vol. 116(C), pages 376-386.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Ting Yue & Ruyin Long & Junli Liu & Haiwen Liu & Hong Chen, 2019. "Empirical Study on Households’ Energy-Conservation Behavior of Jiangsu Province in China: The Role of Policies and Behavior Results," IJERPH, MDPI, vol. 16(6), pages 1-16, March.
- Daoyan Guo & Xinping Wang & Taozhu Feng & Shuai Han, 2022. "Factors Influencing the Waste Separation Behaviors of Urban Residents in Shaanxi Province during the 14th National Games of China," IJERPH, MDPI, vol. 19(7), pages 1-14, April.
- Daoyan Guo & Hong Chen & Ruyin Long & Shaohui Zou, 2021. "Determinants of Residents’ Approach–Avoidance Responses to the Personal Carbon Trading Scheme: An Empirical Analysis of Urban Residents in Eastern China," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
- Lingyun Mi & Yuhuan Sun & Lijie Qiao & Tianwen Jia & Yang Yang & Tao Lv, 2021. "Analysis of the Cause of Household Carbon Lock-In for Chinese Urban Households," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
- Yi Chen & Yinrong Chen & Kun Chen & Min Liu, 2023. "Research Progress and Hotspot Analysis of Residential Carbon Emissions Based on CiteSpace Software," IJERPH, MDPI, vol. 20(3), pages 1-19, January.
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.- Jia Wei & Hong Chen & Ruyin Long, 2018. "Diffusion Paths and Guiding Policy for Urban Residents’ Carbon Identification Capability: Simulation Analysis from the Perspective of Relation Strength and Personal Carbon Trading," Sustainability, MDPI, vol. 10(6), pages 1-19, May.
- Wei, Jia & Chen, Hong & Long, Ruyin, 2016. "Is ecological personality always consistent with low-carbon behavioral intention of urban residents?," Energy Policy, Elsevier, vol. 98(C), pages 343-352.
- Wei, Jia & Chen, Hong & Cui, Xiaotong & Long, Ruyin, 2016. "Carbon capability of urban residents and its structure: Evidence from a survey of Jiangsu Province in China," Applied Energy, Elsevier, vol. 173(C), pages 635-649.
- Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, vol. 11(16), pages 1-37, August.
- Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
- Yongliang Yang & Yiyang Guo & Suqing Luo, 2020. "Consumers’ Intention and Cognition for Low-Carbon Behavior: A Case Study of Hangzhou in China," Energies, MDPI, vol. 13(21), pages 1-19, November.
- Ye, Bin & Jiang, JingJing & Li, Changsheng & Miao, Lixin & Tang, Jie, 2017. "Quantification and driving force analysis of provincial-level carbon emissions in China," Applied Energy, Elsevier, vol. 198(C), pages 223-238.
- Dong, Huijuan & Dai, Hancheng & Geng, Yong & Fujita, Tsuyoshi & Liu, Zhe & Xie, Yang & Wu, Rui & Fujii, Minoru & Masui, Toshihiko & Tang, Liang, 2017. "Exploring impact of carbon tax on China’s CO2 reductions and provincial disparities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 596-603.
- Zhang, Kun & Zhang, Zong-Yong & Liang, Qiao-Mei, 2017. "An empirical analysis of the green paradox in China: From the perspective of fiscal decentralization," Energy Policy, Elsevier, vol. 103(C), pages 203-211.
- Feiyu Chen & Hong Chen & Xinru Huang & Ruyin Long & Hui Lu & Ting Yue, 2017. "Public Response to the Regulation Policy of Urban Household Waste: Evidence from a Survey of Jiangsu Province in China," Sustainability, MDPI, vol. 9(6), pages 1-23, June.
- Geng, Jichao & Long, Ruyin & Chen, Hong & Li, Wenbo, 2017. "Exploring the motivation-behavior gap in urban residents’ green travel behavior: A theoretical and empirical study," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 282-292.
- Yue-Jun Zhang & Jun-Fang Hao, 2015. "The allocation of carbon emission intensity reduction target by 2020 among provinces 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. 79(2), pages 921-937, November.
- Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
- Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017.
"Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas,"
Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
- Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
- Yu, Shiwei & Wei, Yi-Ming & Fan, Jingli & Zhang, Xian & Wang, Ke, 2012.
"Exploring the regional characteristics of inter-provincial CO2 emissions in China: An improved fuzzy clustering analysis based on particle swarm optimization,"
Applied Energy, Elsevier, vol. 92(C), pages 552-562.
- Shiwei Yu & Yi-Ming Wei & Jing-Li Fan & Xian Zhang & Ke Wang, 2011. "Exploring the regional characteristics of inter-provincial CO2 emissions in China:An improved fuzzy clustering analysis based on particle swarm optimization," CEEP-BIT Working Papers 22, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Qian, Yuan & Scherer, Laura & Tukker, Arnold & Behrens, Paul, 2020. "China's potential SO2 emissions from coal by 2050," Energy Policy, Elsevier, vol. 147(C).
- Xiaodong Zhu & Rongrong Gu & Bingbing Wu & Shunsuke Managi, 2017. "Does Hazy Weather Influence Earnings Management of Heavy-Polluting Enterprises? A Chinese Empirical Study from the Perspective of Negative Social Concerns," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
- Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014.
"Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?,"
Applied Energy, Elsevier, vol. 132(C), pages 137-154.
- Roberto Gómez-Calvet & David Conesa & Ana Rosa Gómez-Calvet & Emili Tortosa-Ausina, 2013. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Working Papers 2013/17, Economics Department, Universitat Jaume I, Castellón (Spain).
- Thananya Janhuaton & Vatanavongs Ratanavaraha & Sajjakaj Jomnonkwao, 2024. "Forecasting Thailand’s Transportation CO 2 Emissions: A Comparison among Artificial Intelligent Models," Forecasting, MDPI, vol. 6(2), pages 1-23, June.
More about this item
Keywords
carbon capability; driving factor; grounded theory; urban resident;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:8:p:1607-:d:160603. 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.