Bridging Green Gaps: The Buying Intention of Energy Efficient Home Appliances and Moderation of Green Self-Identity
Source abstract
Abstract
This study investigates the factors influencing the buying intention of energy-efficient home appliances in Bangladesh. It also develops a conceptual framework that integrates additional constructs with the theory of planned behavior (TPB) and borrows questions from past literature. Employing a convenience sampling technique, a total of 365 completed structured questionnaires were gathered from various super shops in Dhaka, Bangladesh. The structural equation modeling (SEM) technique was thereafter used to analyze the data with the AMOS 21. The study established that environmental knowledge, attitude, subjective norms, and perceived behavioral control significantly affected the consumers’ buying intention of energy-efficient home appliances (EEHA). The result revealed a significant relationship between environmental concern, environmental knowledge, subjective norms, eco-labeling, and attitude towards buying. It also confirmed that the green self-identity moderates the existent relationship between the attitude and buying intention of energy-efficient home appliances, while environmental knowledge does not. The research advances numerous policy suggestions to managers or marketers, as well as future research directions.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Environmental Sustainability in Business · Environmental Education and Sustainability · Consumer Behavior in Brand Consumption and Identification
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710049, China
Medical Management Service Center of Shandong Health Commission (International Health Exchange Center of Shandong Province), Lixia District, Jinan 250014, China
School of Economics and Management, Shaanxi University of Science and Technology (SUST), Weiyang District, Xi’an 710021, China
Department of Business Administration, Northern University Bangladesh, Banani C/A, Dhaka 1213, Bangladesh
References (100+)
Show source-provided references
1. Ali, S., Ullah, H., Akbar, M., Akhtar, W., and Zahid, H. (2019). Determinants of consumer intentions to purchase energy-saving household products in Pakistan. Sustainability, 11.10.3390/su11051462 ↗
2. Reducing energy demand: A review of issues, challenges and approaches10.1016/j.rser.2015.03.002 ↗
3. Understanding household energy consumption behavior: The contribution of energy big data analytics10.1016/j.rser.2015.12.001 ↗
4. The devil is in the details: Household electricity saving behavior and the role of information10.1016/j.enpol.2009.11.041 ↗
5. A moral extension of the theory of planned behavior to predict consumers’ purchase intention for energy-efficient household appliances in Malaysia10.1016/j.enpol.2017.05.027 ↗
6. Determinants of energy-saving behavioral intention among residents in Beijing: Extending the theory of planned behavior10.1063/1.4898363 ↗
7. Mills, B., and Schleich, J. (2013). Analysis of Existing Data: Determinants for the Adoption of Energy-Efficient Household Appliances in Germany. Sustainable Energy Consumption in Residential Buildings, Springer.10.1007/978-3-7908-2849-8_2 ↗
8. Evaluating energy behavior change programs using randomized controlled trials: Best practice guidelines for policymakers10.1016/j.erss.2016.08.020 ↗
9. What motivations drive sustainable energy-saving behavior?: An examination in South Korea10.1016/j.rser.2017.05.150 ↗
10. Ahmed, A.S., Kumari, D.R., and Neeraja, T. (2017). Purchase Behavior of Women Consumers, towards Energy Efficient Household Products. [Doctoral Dissertation, Univeristy Rajendranagar].
11. Do Star Ratings Matter?: A Qualitative Study on Consumer Awareness and Inclination to Purchase Energy-Efficient Home Appliances10.4018/IJSESD.2020100104 ↗
12. Household preferences for energy-saving measures: A conjoint analysis10.1016/S0167-4870(02)00154-X ↗
13. Energy conservation: A conceptual framework of energy awareness development process
14. Energy saving and energy efficiency concepts for policy making10.1016/j.enpol.2009.06.035 ↗
15. How do socio-demographic and psychological factors relate to households’ direct and indirect energy use and savings?10.1016/j.joep.2009.05.006 ↗
16. Consumer voices: Adoption of residential energy-efficient practices10.1111/j.1470-6431.2009.00841.x ↗
17. Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study10.1016/j.apenergy.2016.06.017 ↗
18. Promoting Sustainable Consumption: Determinants of Green Purchases by Swiss Consumers10.1002/mar.10101 ↗
19. The impact of socioeconomic and behavioural factors for purchasing energy-efficient household appliances: A case study for Denmark10.1016/j.enpol.2018.05.048 ↗
20. Role of socio-demographics in segmenting and profiling green consumers: An exploratory study of consumers in India10.1300/J046v18n03_06 ↗
21. The effects of energy efficiency and environmental labels on appliance choice in South Korea10.1007/s12053-014-9307-1 ↗
22. The role of benefits and transparency in shaping consumers’ green perceived value, self-brand connection and brand loyalty10.1016/j.jretconser.2016.12.011 ↗
23. Zhang, L., Fan, Y., Zhang, W., and Zhang, S. (2019). Extending the theory of planned behavior to explain the effects of cognitive factors across different kinds of green products. Sustainability, 11.10.3390/su11154222 ↗
24. Li, G., Li, W., Jin, Z., and Wang, Z. (2019). Influence of environmental concern and knowledge on households’ willingness to purchase energy-efficient appliances: A case study in Shanxi, China. Sustainability, 11.10.3390/su11041073 ↗
25. Hua, L., and Wang, S. (2019). Antecedents of consumers’ intention to purchase energy-efficient appliances: An empirical study based on the technology acceptance model and theory of planned behavior. Sustainability, 11.10.3390/su11102994 ↗
26. 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 matters10.1016/j.jclepro.2015.07.043 ↗
27. Pro-environmental behaviors through the lens of the theory of planned behavior: A scoping review10.1016/j.resconrec.2019.104660 ↗
28. Beyond the intention–behaviour mythology: An integrated model of recycling10.1177/1470593102002001645 ↗
29. From single-use to multi-use: Study of consumers’ behavior toward consumption of reusable containers10.1016/j.jenvman.2017.01.060 ↗
30. Ajzen, I. (2002). Constructing a TPB Questionnaire: Conceptual and Methodological Considerations, CiteSeer.
31. Investigating multiple components of attitude, subjective norm, and perceived control: An examination of the theory of planned behaviour in the exercise domain10.1348/014466603763276162 ↗
32. The theory of planned behavior10.1016/0749-5978(91)90020-T ↗
33. The theory of planned behavior: Frequently asked questions10.1002/hbe2.195 ↗
34. Intention and behavior towards green consumption among low-income households10.1016/j.jenvman.2018.08.061 ↗
35. Impact of culture, behavior and gender on green purchase intention10.1016/j.jretconser.2017.12.002 ↗
36. Transforming to a low carbon society; an extended theory of planned behaviour of Malaysian citizens10.1016/j.jclepro.2019.07.047 ↗
37. Ethical consumer behaviour in Germany: The attitude-behaviour gap in the green apparel industry10.1111/ijcs.12435 ↗
38. Spanning the gap: An examination of the factors leading to the green gap10.1108/JCM-05-2014-0988 ↗
39. Impact of values, involvement and perceptions on consumer attitudes and intentions towards sustainable consumption10.1007/s10806-005-5485-3 ↗
40. It is a moral issue: The relationship between environmental self-identity, obligation-based intrinsic motivation and pro-environmental behaviour10.1016/j.gloenvcha.2013.07.018 ↗
41. Attitudes, norms, identity and environmental behaviour: Using an expanded theory of planned behaviour to predict participation in a kerbside recycling programme10.1348/014466609X449395 ↗
42. Values, identity and pro-environmental behaviour10.1080/21582041.2012.682086 ↗
43. Environmentalist identity and environmental striving10.1016/j.jenvp.2013.12.014 ↗
44. Qasim, H., Yan, L., Guo, R., Saeed, A., and Ashraf, B.N. (2019). The defining role of environmental self-identity among consumption values and behavioral intention to consume organic food. Int. J. Environ. Res. Public Health, 16.10.3390/ijerph16071106 ↗
45. Understanding energy-efficient heating appliance behavior change: The moderating impact of the green self-identity10.1016/j.energy.2021.120169 ↗
46. Gender differences in Egyptian consumers’ green purchase behaviour: The effects of environmental knowledge, concern and attitude10.1111/j.1470-6431.2006.00523.x ↗
47. The impact of general and carbon-related environmental knowledge on attitudes and behaviour of US consumers10.1080/0267257X.2012.659279 ↗
48. Cultural differences in environmental knowledge, attitudes, and behaviours of Canadian consumers10.1111/j.1936-4490.2002.tb00272.x ↗
49. Mind the gap: Why do people act environmentally and what are the barriers to pro-environmental behavior?10.1080/13504620220145401 ↗
50. The roles of attitude, subjective norm, and perceived behavioral control in the formation of consumers’ behavioral intentions to read menu labels in the restaurant industry10.1016/j.ijhm.2013.06.008 ↗
51. Subjective norms, attitudes and intentions of Finnish consumers in buying organic food10.1108/00070700510629760 ↗
52. Ajzen, I., and Fishbein, M. (1980). Understing Attitudes and Predicting Social Behaviour, Prentice-Hall.
53. Predicting dishonest actions using the theory of planned behavior10.1016/0092-6566(91)90021-H ↗
54. An application of theory of planned behavior to predict young Indian consumers’ green hotel visit intention10.1016/j.jclepro.2017.10.047 ↗
55. Determinants of consumers’ green purchase behavior in a developing nation: Applying and extending the theory of planned behavior10.1016/j.ecolecon.2016.12.019 ↗
56. Energy efficient household appliances in emerging markets: The influence of consumers’ values and knowledge on their attitudes and purchase behaviour10.1111/ijcs.12323 ↗
57. Policy implications of the purchasing intentions towards energy-efficient appliances among China’s urban residents: Do subsidies work?10.1016/j.enpol.2016.12.049 ↗
58. Predicting consumer intentions to purchase energy-efficient products10.1108/07363761211274974 ↗
59. The determinants of household energy-saving behavior: Survey and comparison in five major Asian cities10.1016/j.enpol.2012.09.043 ↗
60. Purchasing intentions of Chinese consumers on energy-efficient appliances: Is the energy efficiency label effective?10.1016/j.jclepro.2019.117896 ↗
61. Evaluating the Role of Energy Efficiency Label on Consumers’ Purchasing Behaviour10.1016/j.apcbee.2014.10.061 ↗
62. Factors influencing sustainable consumption behaviors: A survey of the rural residents in China10.1016/j.jclepro.2013.05.007 ↗
63. Small-scale households renewable energy usage intention: Theoretical development and empirical settings10.1016/j.renene.2014.02.010 ↗
64. Energy efficiency and appliance purchases in Europe: Consumer profiles and choice determinants10.1016/j.enpol.2011.08.057 ↗
65. Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China10.1016/j.enpol.2011.03.055 ↗
66. Bhutto, M.Y., Liu, X., Soomro, Y.A., Ertz, M., and Baeshen, Y. (2021). Adoption of energy-efficient home appliances: Extending the theory of planned behavior. Sustainability, 13.10.3390/su13010250 ↗
67. Appliance usage and choice of energy-efficient appliances: Evidence from rural Chinese households10.1016/j.enpol.2020.111800 ↗
68. Exploring the influence of severe haze pollution on residents’ intention to purchase energy-saving appliances10.1016/j.jclepro.2018.12.134 ↗
69. Analyzing the barriers to purchase intentions of energy efficient appliances from consumer perspective10.1108/BIJ-03-2018-0082 ↗
70. Kim, W., Ko, S., Oh, M., Choi, I., and Shin, J. (2019). Is an incentive policy for energy efficient products effective for air purifiers? The case of South Korea. Energies, 12.10.3390/en12091664 ↗
71. Green purchasing behaviour: A conceptual framework and empirical investigation of Indian consumers10.1016/j.jretconser.2017.11.008 ↗
72. Consumer/voter behavior in the passage of the Michigan container law10.1177/002224298104500203 ↗
73. Developing an extended Theory of Planned Behavior model to predict consumers’ intention to visit green hotels10.1016/j.ijhm.2013.09.006 ↗
74. Predicting green product consumption using theory of planned behavior and reasoned action10.1016/j.jretconser.2015.11.006 ↗
75. Effect of knowledge on decision making in the context of organic cotton clothing10.1111/ijcs.12214 ↗
76. Antecedents of green purchases: A survey in China10.1108/07363760010335358 ↗
77. The impacts of environmental knowledge and attitudes on vehicle ownership and use10.1016/j.trd.2009.02.003 ↗
78. Shades of green: A psychographic segmentation of the green consumer in Kuwait using self-organizing maps10.1016/j.eswa.2009.02.088 ↗
79. Wine consumers’ environmental knowledge and attitudes: Influence on willingness to purchase10.2147/IJWR.S4649 ↗
80. Role of environmental knowledge in creating pro-environmental residents10.1016/j.sbspro.2013.11.088 ↗
81. Environmental knowledge and other variables affecting pro-environmental behaviour: Comparison of university students from emerging and advanced countries10.1016/j.jclepro.2013.05.015 ↗
82. Signaling the green sell: The influence of eco-label source, argument specificity, and product involvement on consumer trust10.1080/00913367.2013.834803 ↗
83. ECO-labels as a multidimensional research topic: Trends and opportunities10.1016/j.jclepro.2016.06.167 ↗
84. Does an energy efficiency label alter consumers’ purchasing decisions? A latent class approach based on a stated choice experiment in Shanghai10.1016/j.jenvman.2009.06.010 ↗
85. How do different designs of energy labels influence purchases of household appliances? A field study in Switzerland10.1016/j.ecolecon.2017.07.031 ↗
86. Style consumption: Its drivers and role in sustainable apparel consumption10.1111/ijcs.12185 ↗
87. Marketing green products in the triad
88. Identity theory and social identity theory10.2307/2695870 ↗
89. Extending the theory of planned behavior: A review and avenues for further research10.1111/j.1559-1816.1998.tb01685.x ↗
90. The value of environmental self-identity: The relationship between biospheric values, environmental self-identity and environmental preferences, intentions and behaviour10.1016/j.jenvp.2012.12.006 ↗
91. Bringing identity theory into environmental sociology10.1046/j.1467-9558.2003.00196.x ↗
92. Attitudes and intentions towards purchasing GM food10.1016/S0167-4870(02)00117-4 ↗
93. Self-Identity and the Theory of Planned Behavior: Assesing the Role of Identification with “Green Consumerism”10.2307/2786955 ↗
94. When consumers are in doubt, you better watch out! the moderating role of consumer skepticism and subjective knowledge in the context of organic food consumption10.2478/zireb-2018-0020 ↗
95. Differential effects of subjective knowledge, objective knowledge, and usage experience on decision making: An exploratory investigation10.1207/s15327663jcp0402_04 ↗
96. Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses10.3758/BRM.41.4.1149 ↗
97. Moral climate in business firms: A conceptual framework for analysis and change10.1023/A:1005763713265 ↗
98. The determinants of corporate leverage and dividend policies10.1111/j.1745-6622.1995.tb00259.x ↗
99. Ali, M.R., Shafiq, M., and Andejany, M. (2021). Determinants of consumers’ intentions towards the purchase of energy efficient appliances in Pakistan: An extended model of the theory of planned behavior. Sustainability, 13.10.3390/su13020565 ↗
100. Structural equation modeling in practice: A review and recommended two-step approach10.1037/0033-2909.103.3.411 ↗