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Consumers’ Intention and Cognition for Low-Carbon Behavior: A Case Study of Hangzhou in China

Author

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  • Yongliang Yang

    (School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou 310018, China
    Ecological Civilization Research Center of Zhejiang Province, Hangzhou 310018, China)

  • Yiyang Guo

    (School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou 310018, China
    University of Chinese Academy of Social Sciences, Beijing 102488, China)

  • Suqing Luo

    (Department of Financial Accounting, Zhejiang Normal University, Jinhua 321004, China)

Abstract

The influencing factors of the low-carbon consumption behavior of urban residents have become popular. This paper explored the factors of consumers’ low-carbon behavior through a questionnaire survey. Using Hangzhou as a case study city, which yields 786 valid responses, the results indicated that urban consumers generally had a high perception of low-carbon behavior. At the same time, low-carbon cognition and low-carbon intention had a positive impact on residents’ low-carbon behavior. In particular, the level of awareness of global warming adjusted residents’ understanding of low-carbon behavior. From a policy point of view, this research contributes to insights into the promotion of guiding residents’ low-carbon behavior and improving the response to global warming.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5830-:d:441715
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    as
    1. Jing Shi & Vivianne H. M. Visschers & Michael Siegrist & Joseph Arvai, 2016. "Knowledge as a driver of public perceptions about climate change reassessed," Nature Climate Change, Nature, vol. 6(8), pages 759-762, August.
    2. Huan Zhou & Shaojian Qu & Qinglu Yuan & Shilei Wang, 2020. "Spatial Effects and Nonlinear Analysis of Energy Consumption, Financial Development, and Economic Growth in China," Energies, MDPI, vol. 13(18), pages 1-18, September.
    3. Liangen Zeng & Haiyan Lu & Yenping Liu & Yang Zhou & Haoyu Hu, 2019. "Analysis of Regional Differences and Influencing Factors on China’s Carbon Emission Efficiency in 2005–2015," Energies, MDPI, vol. 12(16), pages 1-21, August.
    4. Ding, Zhihua & Wang, Guangqiang & Liu, Zhenhua & Long, Ruyin, 2017. "Research on differences in the factors influencing the energy-saving behavior of urban and rural residents in China–A case study of Jiangsu Province," Energy Policy, Elsevier, vol. 100(C), pages 252-259.
    5. Kaplowitz, Michael D. & Thorp, Laurie & Coleman, Kayla & Kwame Yeboah, Felix, 2012. "Energy conservation attitudes, knowledge, and behaviors in science laboratories," Energy Policy, Elsevier, vol. 50(C), pages 581-591.
    6. Zhao, Yibing & Wang, Can & Sun, Yuwei & Liu, Xianbing, 2018. "Factors influencing companies' willingness to pay for carbon emissions: Emission trading schemes in China," Energy Economics, Elsevier, vol. 75(C), pages 357-367.
    7. Meng, Xiaoge & Yao, Zhong & Nie, Jiajia & Zhao, Yingxue & Li, Zenglu, 2018. "Low-carbon product selection with carbon tax and competition: Effects of the power structure," International Journal of Production Economics, Elsevier, vol. 200(C), pages 224-230.
    8. Asensio, Omar Isaac & Delmas, Magali A., 2016. "The dynamics of behavior change: Evidence from energy conservation," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 196-212.
    9. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    10. Ana Ramos & Xavier Labandeira & Andreas Löschel, 2016. "Pro-environmental Households and Energy Efficiency in Spain," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(2), pages 367-393, February.
    11. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    12. Cheung, Millissa F.Y. & To, W.M., 2019. "An extended model of value-attitude-behavior to explain Chinese consumers’ green purchase behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 145-153.
    13. Poruschi, Lavinia & Ambrey, Christopher L., 2016. "On the confluence of city living, energy saving behaviours and direct residential energy consumption," Environmental Science & Policy, Elsevier, vol. 66(C), pages 334-343.
    14. Aune, Margrethe & Godbolt, Åsne Lund & Sørensen, Knut H. & Ryghaug, Marianne & Karlstrøm, Henrik & Næss, Robert, 2016. "Concerned consumption. Global warming changing household domestication of energy," Energy Policy, Elsevier, vol. 98(C), pages 290-297.
    15. Sapci, Onur & Considine, Timothy, 2014. "The link between environmental attitudes and energy consumption behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 52(C), pages 29-34.
    16. Edyta Sidorczuk-Pietraszko, 2020. "Spatial Differences in Carbon Intensity in Polish Households," Energies, MDPI, vol. 13(12), pages 1-21, June.
    17. Han, Q. & Nieuwenhijsen, I. & de Vries, B. & Blokhuis, E. & Schaefer, W., 2013. "Intervention strategy to stimulate energy-saving behavior of local residents," Energy Policy, Elsevier, vol. 52(C), pages 706-715.
    18. Lewis, Joanna I., 2010. "The evolving role of carbon finance in promoting renewable energy development in China," Energy Policy, Elsevier, vol. 38(6), pages 2875-2886, June.
    19. Jaikumar, Saravana & Singh, Ramendra & Sarin, Ankur, 2018. "‘I show off, so I am well off’: Subjective economic well-being and conspicuous consumption in an emerging economy," Journal of Business Research, Elsevier, vol. 86(C), pages 386-393.
    20. Helen Fischer & Dorothee Amelung & Nadia Said, 2019. "The accuracy of German citizens’ confidence in their climate change knowledge," Nature Climate Change, Nature, vol. 9(10), pages 776-780, October.
    21. Yang, Shu & Zhang, Yanbing & Zhao, Dingtao, 2016. "Who exhibits more energy-saving behavior in direct and indirect ways in china? The role of psychological factors and socio-demographics," Energy Policy, Elsevier, vol. 93(C), pages 196-205.
    22. Xiaopeng Wang & Xueyao Shen & Yongliang Yang, 2020. "Does Environmental Information Disclosure Make Firms’ Investments More Efficient? Evidence from Measure 2007 of Chinese A-Listed Companies," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    23. Stefania Troiano & Daniel Vecchiato & Francesco Marangon & Tiziano Tempesta & Federico Nassivera, 2019. "Households’ Preferences for a New ‘Climate-Friendly’ Heating System: Does Contribution to Reducing Greenhouse Gases Matter?," Energies, MDPI, vol. 12(13), pages 1-19, July.
    24. Pothitou, Mary & Hanna, Richard F. & Chalvatzis, Konstantinos J., 2016. "Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study," Applied Energy, Elsevier, vol. 184(C), pages 1217-1229.
    25. 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.
    26. Qingduo Mao & Ben Ma & Hongshuai Wang & Qi Bian, 2019. "Investigating Policy Instrument Adoption in Low-Carbon City Development: A Case Study from China," Energies, MDPI, vol. 12(18), pages 1-17, September.
    27. Carrington, Michal J. & Neville, Benjamin A. & Whitwell, Gregory J., 2014. "Lost in translation: Exploring the ethical consumer intention–behavior gap," Journal of Business Research, Elsevier, vol. 67(1), pages 2759-2767.
    28. 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.
    29. Dong, Liang & Fujita, Tsuyoshi & Zhang, Hui & Dai, Ming & Fujii, Minoru & Ohnishi, Satoshi & Geng, Yong & Liu, Zhu, 2013. "Promoting low-carbon city through industrial symbiosis: A case in China by applying HPIMO model," Energy Policy, Elsevier, vol. 61(C), pages 864-873.
    30. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
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