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The effects of behavioral intention on the choice to purchase energy-saving appliances in China: the role of environmental attitude, concern, and perceived psychological benefits in shaping intention

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Abstract

Purchasing energy-saving appliances is a sensible and practical way to reduce carbon emissions from the residential sector in China. This study examines the relationship between pro-environment behavioral intention—undergirded by environmental attitude and concern as well as perceived psychological benefits—and the choice to purchase energy-saving appliances among Chinese households. Integrating psychological benefits (i.e., warm glow and self-express benefits) into the theory of planned behavior, a first of its kind for China, we designed and implemented a cross-sectional online survey in 2016. We conducted Probit regression analyses based on the 942 effective responses collected. The results reveal that behavioral intention has significantly positive effects on the choice to purchase energy-saving appliances. Environmental attitude and concern, as well as psychological benefits, have a significantly positive impact on respondents’ behavioral intention to buy energy-saving devices. Also, age and household size significantly and positively correlate with purchasing energy-saving appliance decision. These results point to useful policy implications to boost consumer support for energy-saving appliances in China and provide a foundation for similar research in other developing contexts.

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Notes

  1. The latest subsidy policy on household energy-saving appliances in 2017. http://www.jayall.com/article/73258.html.

  2. The Ali platform hosts China’s largest e-commerce market.

  3. The URL of the website is https://www.sojump.com.

  4. So far, there is no standard response rate in the literature (Nachmias and Nachmias 2000).

  5. Due to space constraints, we do not report our test results, but they will be available from the authors upon request.

References

  • Aaker, J. L. (1999). The malleable self: The role of self-expression in persuasion. Journal of Marketing Research, 36(1), 45–47.

    Google Scholar 

  • Abrahamse, W., & Steg, L. (2009). How do socio-demographic and psychological factors relate to households’ direct and indirect energy use and savings? Journal of Economic Psychology, 30, 711–720.

    Google Scholar 

  • Ajzen, I. (1989). Attitude structure and behavior. Attitude structure and function, 1, 241–274.

    Google Scholar 

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.

    Google Scholar 

  • Ali Research Report. (2016). Research report on Taobao village of China in 2016. Ali Research Institute.

  • Andreoni, J. (1990). Impure altruism and donations to public goods: A theory of warm-glowing giving. The Economic Journal, 100(401), 464–477.

    Google Scholar 

  • Arvola, A., Vassallo, M., Dean, M., Lampila, P., Saba, A., Lähteenmäki, L., & Shepherd, R. (2008). Predicting intentions to purchase organic food: The role of affective and moral attitudes in the Theory of Planned Behaviour. Appetite, 50, 443–454.

    Google Scholar 

  • Baldini, M., & Trivella, A. (2018). Modelling of electricity savings in the Danish households sector: From the energy system to the end-user. Energy Efficiency, 11, 1563–1581.

    Google Scholar 

  • Baldini, M., Trivella, A., & Wente, J. W. (2018). The impact of socioeconomic and behavioral factors for purchasing energy efficient household appliances: A case study for Denmark. Energy Policy, 120, 503–513.

    Google Scholar 

  • Bang, H. K., Ellinger, A., Hadjimarcou, J., & Traichal, P. (2000). Consumer concern, knowledge, belief and attitude toward renewable energy: An application of the reasoned action theory. Psychology and Marketing, 17(6), 449–468.

    Google Scholar 

  • Bennett, A., & Chakravarti, A. (2009). The self and social signaling: Explanations for consumption of CSR-associated products. Advances in Consumer Research, 36, 49–50.

    Google Scholar 

  • Bergstrom, T., Blume, L., & Varian, H. (2006). On the private provision of public goods. Journal of Public Economics, 29(1), 25–49.

    Google Scholar 

  • Biswas, A., & Roy, M. (2015). Leveraging factors for sustained green consumption behavior based on consumption value perceptions: Testing the structural model. Journal of Cleaner Production, 95, 332–340.

    Google Scholar 

  • Borchers, A. M., Duke, J. M., & Parsons, G. R. (2007). Does willingness to pay for green energy differ by source? Energy Policy, 35(6), 3327–3334.

    Google Scholar 

  • Bray, J., Johns, N., & Kilburn, D. (2011). An explanatory study into the factors impeding ethical consumption. Journal of Business Ethnics, 98, 597–608.

    Google Scholar 

  • Cai, S., Long, X., Li, L., Liang, H., Wang, Q., & Ding, X. (2019). Determinants of intention and behavior of low carbon commuting through bicycle-sharing in China. Journal of Cleaner Production, 212, 602–609.

    Google Scholar 

  • Chan, Y. K., & Lau, B. Y. (2000). Antecedents of green purchases: A survey in China. Journal of Consumer Marketing, 17(4), 338–357.

    Google Scholar 

  • Chen, M. F. (2016). Extending the theory of planned behavior model to explain people's energy savings and carbon reduction behavioral intentions to mitigate climate change in Taiwan–moral obligation matters. Journal of Cleaner Production, 112, 1746–1753.

    Google Scholar 

  • Chen, T. B., & Chai, L. T. (2010). Attitude towards the environment and green products: Consumers’ perspective. Management Science and Engineering, 4(2), 27–39.

    Google Scholar 

  • Chen, Y.Y., Ebenstein, A., Greenstone, M., Li, H.B. (2013). Evidence on the Impact of Sustained Exposure to Air Pollution on Life Expectancy from China’s Huai River Policy. Proceedings of the National Academy of Sciences of the United States of America.

  • China Environment Statistical Yearbooks. (2016). Various issues. Beijing: China Environmental Science Press.

    Google Scholar 

  • DeCicco, J., Yan, T., Keusch, F., Muñoz, D. H., & Neidert, L. (2015). U.S. consumer attitudes and expectations about energy. Energy Policy, 86, 749–758.

    Google Scholar 

  • Dillman, D., Smyth, J., & Christian, J. (2009). Internet, mail, and mixed-mode surveys: The tailored design methods (3rd ed.). New Jersey: John Wiley and Sons, Inc..

    Google Scholar 

  • Ek, K. (2005). Public and private attitudes towards ‘green’ electricity: The case of Swedish wind power. Energy Policy, 33(13), 1677–1689.

    Google Scholar 

  • Ellen, P. S., Webb, D. J., & Mohr, L. A. (2006). Building corporate associations: Consumer attributions for corporate socially responsible programs. Journal of Academy of Marketing Science, 34, 147–157.

    Google Scholar 

  • Eurobarometer. (2005). Attitudes towards energy. A report produced by The European Commission for the Directorate-General for Research. Luxembourg.

  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research (p. 53). Addison-Wesley Publishing Company.

  • Fransson, N., & Gärling, T. (1999). Environmental concern: Conceptual definitions, measurement methods, and research findings. Journal of Environmental Psychology, 19, 369–382.

    Google Scholar 

  • Friedman, M. (1957). The permanent income hypothesis. A theory of the consumption function. Princeton: Princeton University Press ISBN 0-691-04182-2.

    Google Scholar 

  • Gadenne, D., Sharma, B., Kerr, D., & Smith, T. (2011). The influence of consumers’ environmental beliefs and attitudes on energy saving behaviors. Energy Policy, 39(12), 7684–7694.

    Google Scholar 

  • Gaspar, R., & Antunes, D. (2011). Energy efficiency and appliance purchases in Europe: Consumer profiles and choice determinants. Energy Policy, 39(11), 7335–7346.

    Google Scholar 

  • Gerpott, T. J., & Mahmudova, I. (2010). Determinants of green electricity adoption among residential customers in Germany. International Journal of Consumer Studies, 34(4), 464–473.

    Google Scholar 

  • Griskevicius, V., Tybur, J. M., & Van den Bergh, B. (2010). Going green to be seen: Status, reputation, and conspicuous conservation. Journal of Personality and Social Psychology, 98(3), 392–404.

    Google Scholar 

  • Grösche, P., & Schröder, C. (2011). Eliciting public support for greening the electricity mix using random parameter techniques. Energy Economics, 33(2), 363–370.

    Google Scholar 

  • Grunert, S. C., & Juhl, H. J. (1995). Values, environmental attitudes, and buying of organic foods. Journal of Economic Psychology, 16, 39–62.

    Google Scholar 

  • Hansla, A., Gamble, A., Juliusson, A., & Gärling, T. (2008). The relationships between awareness of consequences, environmental concern, and value orientations. Journal of Environmental Psychology, 28(1), 1–9.

    Google Scholar 

  • Hartmann, P., & Apaolaza-Ibáñez, V. (2012). Consumer attitude and purchase intention toward green energy brands: The roles of psychological benefits and environmental concern. Journal of Business Research, 65, 1254–1263.

    Google Scholar 

  • Heckman, J. (1979). Sample selection bias as a specification error. Econometrica, 47(1), 153–161.

    MathSciNet  MATH  Google Scholar 

  • Johnson, B. B., & Frank, P. G. (2006). Public understanding of environmental impacts of electricity deregulation. Energy Policy, 34(12), 1332–1343.

    Google Scholar 

  • Kaenzig, J., Heinzle, S. L., & Wüstenhagen, R. (2013). Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany. Energy Policy, 53, 311–322.

    Google Scholar 

  • Lancaster, K. J. (1966). A new approach to consumer theory. Journal of Political Economy, 74, 132–157.

    Google Scholar 

  • Li, Z., Shao, B., Shi, X., Sun, Y., & Zhang, X. (2019). Structural transformation of manufacturing, natural resource dependence, and carbon emission reduction: Evidence of a threshold effect from China. Journal of Cleaner Production., 206, 920–927.

    Google Scholar 

  • Lim, S., Flaxman, A., Danaei, G., Shibuya, K., et al. (2013). A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions. Lancet., 380, 2224–2260. https://doi.org/10.1016/S0140-6736(12)61766-8. Accessed 5 January 2018.

    Article  Google Scholar 

  • Litvine, D., & Wüstenhagen, R. (2011). Helping “light green” consumers walk the talk: Results of a behavioral intervention survey in the Swiss electricity market. Ecological Economics, 70, 462–474.

    Google Scholar 

  • Liu, X., Wang, C., Shishime, T., & Fujitsuka, T. (2012). Sustainable consumption: Green purchasing behaviours of urban residents in China. Sustainable Development, 20, 293–308.

    Google Scholar 

  • Long, C., Mills, B. F., & Schleich, J. (2018). Characteristics or culture? Determinants of household energy use behavior in Germany and the USA. Energy Efficiency, 11, 777–798.

    Google Scholar 

  • Ma, B., Yu, Y., & Urban, F. (2018). Green transition of energy systems in rural China: National survey evidence of households’ discrete choices on water heaters. Energy Policy, 113, 559–570. https://doi.org/10.1016/j.enpol.2017.11.046.

    Article  Google Scholar 

  • McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in econometrics (pp. 105–142). Salt Lake City: Academic Press.

    Google Scholar 

  • Mi, L.Y., Gu, M., Yang, J., Yu,X.Y., Liu,Y. 2016. Empirical research on the psychological motivation factors of urban residents’ low carbon oriented energy consumption behavior in Xuzhou city. Resources Science 38(4), 609–621.

  • Nachmias, C. F., & Nachmias, D. (2000). Research methods in the social science[M] (6th ed.pp. 208–213). New York: Worth Publishers.

    Google Scholar 

  • Netherlands Environmental Assessment Agency (NEAA). (2008). China now no. 1 in CO2 emissions, USA in second position. http://www.mnp.nl/en/dossiers/Climatechange/moreinfo/Chinanowno1inCO2emissionsUSAinsecondposition.html〉 Accessed 2 January 2017.

  • Noblet, C. L., Teisl, M. F., Evans, K., Anderson, M. W., McCoy, S., & Cervon, E. (2015). Public preferences for investments in renewable energy production and energy efficiency. Energy Policy, 87, 177–186.

    Google Scholar 

  • Oreg, S., & Katz-Gerro, T. (2006). Predicting pro-environmental behavior cross-nationally: Values, the theory of planned behavior, and value-belief-norm theory. Environment and Behavior, 38(4), 462–483.

    Google Scholar 

  • Parikh, K. S., & Parikh, J. K. (2016). Realizing potential savings of energy and emissions from efficient household appliances in India. Energy Policy, 97, 102–111. https://doi.org/10.1016/j.enpol.2016.07.005.

    Article  Google Scholar 

  • Paul, J., Modi, A., & Patel, J. (2016). Predicting green product consumption using theory of planned behavior and reasoned action. Journal of Retailing and Consumer Services, 29, 123–134.

    Google Scholar 

  • Pope, C. A., III, & Dockery, D. W. (2013). Air pollution and life expectancy in China and beyond. PNAS, 110, 12861–12862.

    Google Scholar 

  • Reuters. (2014). 4 March 4 2014. China to declare war on pollution, premier says, Available at: http://www.reuters.com/article/us-china-parliament-pollution-idUSBREA2405W20140305. Accessed 25 August 2016.

  • Sapci, O., & Considine, T. (2014). The link between environmental attitudes and energy consumption behavior. Journal of Behavioral and Experimental Economics, 52, 29–34.

    Google Scholar 

  • Sardianou, E., & Genoudi, P. (2013). Which factors affect the willingness of consumers to adopt renewable energies? Renewable Energy, 57, 1–4.

    Google Scholar 

  • Schultz, P. W., Shriver, C., Tabanico, J. J., & Khazian, A. M. (2004). Implicit connections with nature. Journal of Environmental Psychology, 24, 31–42.

    Google Scholar 

  • Shen, S.V. (2018). The political pollution cycle. Available at SSRN: https://doi.org/10.2139/ssrn.2822922. Accessed 2 December 2018.

  • Shi, X. (2014). Setting effective mandatory energy efficiency standards and labelling regulations: A review of best practices in the Asia Pacific region. Applied Energy, 133, 135–143.

    Google Scholar 

  • Shi, X. (2015). Application of best practice for setting minimum energy efficiency standards in technically disadvantaged countries: Case study of air conditioners in Brunei Darussalam. Applied Energy, 157, 1–12.

    Google Scholar 

  • Shimokawa, M., & Tezuka, T. (2014). Development of the “home energy conservation support program” and its effects on family behavior. Applied Energy, 114, 654–662.

    Google Scholar 

  • Sovacool, B. K. (2014). Diversity: Energy studies need social science. Nature, 511, 529–530.

    Google Scholar 

  • Stern, P. C. (2011). Contributions of psychology to limiting climate change. American Psychologist, 66(4), 303–314.

    Google Scholar 

  • Stern, P. C. (2014). Energy: We need all hands on deck. Nature, 513(7516), 33.

    Google Scholar 

  • Sun, Y., Xue, J., Shi, X., Wang, K., Qi, S., Wang, L., & Wang, C. (2019). A dynamic and continuous allowances allocation methodology for the prevention of carbon leakage: Emission control coefficients. Applied Energy., 236, 220–230.

    Google Scholar 

  • Tabi, A., Hille, S.L., Wüstenhagen, R., 2014. What makes people seal the green power deal? – Customer segmentation based on choice experiment in Germany. Ecological Economics 107, 206–21.

    Google Scholar 

  • Vermeir, I., & Verbeke, W. (2006). Sustainable food consumption: Exploring the consumer “attitude-behavioral intention” gap. Journal of Agricultural and Environmental Ethics, 19, 169–194.

    Google Scholar 

  • Wang, Z., Zhang, B., Ying, J., & Zhang, Y. (2011). Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China. Energy Policy, 39, 3550–3557.

    Google Scholar 

  • Wang, K., Wu, M., Sun, Y., Shi, X., Sun, A., & Zhang, P. (2019). Resource abundance, industrial structure, and regional carbon emissions efficiency in China. Resources Policy, 60, 203–214.

    Google Scholar 

  • WHO. (2016). WHO global urban ambient air pollution database (update 2016). http://www.who.int/phe/health_topics/outdoorair/databases/cities/en/. Accessed 2 January 2017 .

  • Wiser, R. H. (1998). Green power marketing: Increasing customer demand for renewable energy. Utilities Policy, 7(2), 107–119.

    Google Scholar 

  • Wooldrige, J. M. (2001). Introductory econometrics: A modern approach (p. P461). South-Western College Publishing, a division of Thomson Learning.

  • Wüstenhagen, R., & Bilharz, M. (2006). Green energy market development in Germany: Effective public policy and emerging customer demand. Energy Policy, 34(13), 1681–1696.

    Google Scholar 

  • Zarnikau, J. (2003). Consumer demand for ‘green power’ and energy efficiency. Energy Policy, 31(15), 1661–1672.

    Google Scholar 

  • Zeng, L., Yu, Y., & Li, J. (2014). China's promoting energy-efficient products for the benefit of the people program in 2012: Results and analysis of the consumer impact study. Applied Energy, 133, 22–32.

    Google Scholar 

  • Zhang, P., Shi, X., Sun, Y., Shao, S., & Cui, J. (2019). Have China’s provinces achieved their targets of energy intensity reduction? Reassessment based on nighttime lighting data. Energy Policy, 128, 276–283.

    Google Scholar 

  • Zhao, C., Zhang, M., & Wang, W. (2019). Exploring the influence of severe haze pollution on residents’ intention to purchase energy-saving appliances. Journal of Cleaner Production, 212, 1536–1543.

    Google Scholar 

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Acknowledgements

The authors would like to thank the two anonymous reviewers for their helpful comments.

Funding

Xianchun received financial support from the National Social Science Foundation of China (17AJL008) and the Social Science Foundation by Tianjin Education Council (2014ZD07). Xunpeng acknowledges financial support from the National Natural Science Foundation of China under Grant No. 71828401 and No. 71873029.

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Highlights

• This paper integrates psychological benefits into the theory of planned behavior.

• This study is based on a cross-sectional online survey of 942 Chinese households conducted in 2016.

• Behavioral intention positively affects the choice to purchase energy-saving appliances.

• Environmental attitude and concern positively influence the intention to buy energy-saving appliances.

• First to reveal that perceived psychological benefits positively affect behavioral intention in China.

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Liao, X., Shen, S.V. & Shi, X. The effects of behavioral intention on the choice to purchase energy-saving appliances in China: the role of environmental attitude, concern, and perceived psychological benefits in shaping intention. Energy Efficiency 13, 33–49 (2020). https://doi.org/10.1007/s12053-019-09828-5

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