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Urban resident energy-saving behavior: a case study under the A2SC framework

Author

Listed:
  • Licheng Sun

    (Jiangsu University)

  • Qunwei Wang

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

  • Shilong Ge

    (Nanjing Audit University)

Abstract

A full understanding of the characteristics of urban resident energy-saving (ES) behavior is an important prerequisite for the creation of targeted policies. This study constructs a conceptual model of urban resident ES behavior, consisting of four dimensions: attitude, ability, situation, and custom (the A2SC framework). Then, urban residents of Jiangsu Province, China, were studied to assess interactions among the different variables as well as direct effects of variables on ES behavior. The analysis was conducted using a partial least squares structural equation model. Based on the analysis, targeted suggestions for ES behavioral guidance have been proposed. Primary conclusions are as follows: First, ES attitudes, customs, and situation can all directly and positively affect ES behavior; the influence decreased in sequence, with influencing coefficients of 0.367, 0.225, and 0.087, respectively. Second, ES ability did not impose a direct effect on ES behavior; however, it can indirectly promote the formation of ES behavior by mediating attitude, situation, and custom. Third, when considering the interaction among variables, ES ability, situation, and attitude significantly promoted the formation of ES custom. ES situation contributed to the formation of ES ability, while ES ability and situation were important foundations of ES attitude.

Suggested Citation

  • Licheng Sun & Qunwei Wang & Shilong Ge, 2018. "Urban resident energy-saving behavior: a case study under the A2SC framework," 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. 91(2), pages 515-536, March.
  • Handle: RePEc:spr:nathaz:v:91:y:2018:i:2:d:10.1007_s11069-017-3138-2
    DOI: 10.1007/s11069-017-3138-2
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    References listed on IDEAS

    as
    1. Wang, Zhaohua & Zhang, Bin & Yin, Jianhua & Zhang, Yixiang, 2011. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China," Energy Policy, Elsevier, vol. 39(6), pages 3550-3557, June.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Hori, Shiro & Kondo, Kayoko & Nogata, Daisuke & Ben, Han, 2013. "The determinants of household energy-saving behavior: Survey and comparison in five major Asian cities," Energy Policy, Elsevier, vol. 52(C), pages 354-362.
    4. Thogersen, John & Olander, Folke, 2002. "Human values and the emergence of a sustainable consumption pattern: A panel study," Journal of Economic Psychology, Elsevier, vol. 23(5), pages 605-630, October.
    5. Hondo, Hiroki & Baba, Kenshi, 2010. "Socio-psychological impacts of the introduction of energy technologies: Change in environmental behavior of households with photovoltaic systems," Applied Energy, Elsevier, vol. 87(1), pages 229-235, January.
    6. Steg, Linda, 2008. "Promoting household energy conservation," Energy Policy, Elsevier, vol. 36(12), pages 4449-4453, December.
    7. Sardianou, Eleni, 2007. "Estimating energy conservation patterns of Greek households," Energy Policy, Elsevier, vol. 35(7), pages 3778-3791, July.
    8. DeWaters, Jan E. & Powers, Susan E., 2011. "Energy literacy of secondary students in New York State (USA): A measure of knowledge, affect, and behavior," Energy Policy, Elsevier, vol. 39(3), pages 1699-1710, March.
    9. Linden, Anna-Lisa & Carlsson-Kanyama, Annika & Eriksson, Bjorn, 2006. "Efficient and inefficient aspects of residential energy behaviour: What are the policy instruments for change?," Energy Policy, Elsevier, vol. 34(14), pages 1918-1927, September.
    10. Gadenne, David & Sharma, Bishnu & Kerr, Don & Smith, Tim, 2011. "The influence of consumers' environmental beliefs and attitudes on energy saving behaviours," Energy Policy, Elsevier, vol. 39(12), pages 7684-7694.
    11. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    12. Yue, Ting & Long, Ruyin & Chen, Hong, 2013. "Factors influencing energy-saving behavior of urban households in Jiangsu Province," Energy Policy, Elsevier, vol. 62(C), pages 665-675.
    13. Sebastian Bamberg & Peter Schmidt, 1998. "Changing Travel-Mode Choice As Rational Choice:," Rationality and Society, , vol. 10(2), pages 223-252, May.
    14. Elen, Maarten & D'Heer, Evelien & Geuens, Maggie & Vermeir, Iris, 2013. "The influence of mood on attitude–behavior consistency," Journal of Business Research, Elsevier, vol. 66(7), pages 917-923.
    15. Wang, Qunwei & Wang, Yizhong & Zhou, P. & Wei, Hongye, 2017. "Whole process decomposition of energy-related SO2 in Jiangsu Province, China," Applied Energy, Elsevier, vol. 194(C), pages 679-687.
    16. Ek, Kristina & Söderholm, Patrik, 2008. "Households' switching behavior between electricity suppliers in Sweden," Utilities Policy, Elsevier, vol. 16(4), pages 254-261, December.
    17. Carlsson-Kanyama, Annika & Ekstrom, Marianne Pipping & Shanahan, Helena, 2003. "Food and life cycle energy inputs: consequences of diet and ways to increase efficiency," Ecological Economics, Elsevier, vol. 44(2-3), pages 293-307, March.
    18. 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.
    19. Sun, Licheng & Wang, Qunwei & Zhang, Jijian, 2017. "Inter-industrial Carbon Emission Transfers in China: Economic Effect and Optimization Strategy," Ecological Economics, Elsevier, vol. 132(C), pages 55-62.
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    2. Mi, Lingyun & Xu, Ting & Sun, Yuhuan & Yang, Hang & Wang, Bangjun & Gan, Xiaoli & Qiao, Lijie, 2021. "Promoting differentiated energy savings: Analysis of the psychological motivation of households with different energy consumption levels," Energy, Elsevier, vol. 218(C).
    3. Gao, Xingyu & Tian, Lixin, 2019. "Effects of awareness and policy on green behavior spreading in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 226-234.

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