Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior
Abstract
:1. Introduction
2. Literature Review
Theoretical Background
3. Hypothesis Development
3.1. Utilitarian Environmental Benefits and Attitude
3.2. Warm Glow Benefits and Attitude
3.3. Normative Beliefs and Subjective Norms
3.4. Moral Obligations and Subjective Norms
3.5. Attitude and Purchase Intention
3.6. Subjective Normsand Purchase Intentions
3.7. Perceived Behavioral Control and Purchase Intention
3.8. Moderating Effect of Eco-Literacy
4. Materials and Methods
4.1. Procedure and Participants
4.2. Measurements
5. Results
5.1. Measurement Model
5.2. Structural Model Evaluation
5.3. Multi-Group Analysis
6. Discussion and Conclusions
6.1. Theoretical Contributions
6.2. Managerial Implications
6.3. Limitations and Future Research Directions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Constructs | Measurement Items | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|---|
Attitude | Environmental protection is important to me when making purchases of appliances. | |||||
Energy-efficient appliances are important to save natural resources that would be used for producing energy, e.g., coal, water | ||||||
If I can choose between energy efficient and conventional appliances, I prefer energy efficient appliances. | ||||||
Subjective Norms | Most of the people who are important to me think that I should buy energy-efficient appliances. | |||||
Using energy-efficient appliances is a social trend. | ||||||
People whose opinion I respect would buy energy-efficient appliances instead of conventional ones. | ||||||
Perceivedbehavioural control | I am confident that I would use energy-efficient appliances even if it is slightly more expensive. | |||||
I have the resources, knowledge and ability to use energy-efficient appliances. | ||||||
I am confident that I would use energy-efficient household appliances even if another person advises me to use non-energy-efficient appliances. | ||||||
Utilitarian environmental benefits | Energy-efficient appliances respect the environment. | |||||
Energy-efficient appliances help to prevent global warming. | ||||||
Energy-efficient appliances do not pollute the environment. | ||||||
Warm Glow benefits | I like to contribute to the protection of the environment by purchasing energy-efficient appliances. | |||||
I have the feeling of contribution to the well-being of humanity when buying energy-efficient appliances. | ||||||
I admire individuals who voluntarily purchase energy-efficient appliances. | ||||||
Moral Obligations | I feel it is a moral obligation to purchase energy-efficient appliances in fulfilling my responsibility to the environment. | |||||
I feel it is a moral obligation to purchase energy-efficient appliances although they are expensive. | ||||||
I feel it is a moral obligation to purchase energy-efficient appliances for environmental protection. | ||||||
Normative Belief | My family thinks I should purchase energy-efficient appliances in place of conventional appliances. | |||||
My friend thinks I should purchase energy-efficient appliances in place of conventional appliances. | ||||||
I value the opinion and feelings of my family & friends about my environmentally friendly behavior. | ||||||
Eco-literacy | I prefer to check the eco-labels and certifications on energy-efficient appliances before I purchase | |||||
I want to have a deeper insight of the inputs, processes and impacts of appliances before I purchase. | ||||||
I understand the environmental phrases and symbols on product package. | ||||||
Purchase Intention | I prefer to buy products with lower energy grade (low energy consumption). | |||||
When buying appliances such as air conditioners, refrigerators, washing machines, etc., I prefer energy-saving models. | ||||||
I will buy appliances that consume less electricity. | ||||||
I will choose energy-efficient appliances when I buy appliances |
References
- Jansson, J.; Marell, A.; Nordlund, A. Green consumer behavior: Determinants of curtailment and eco-innovation adoption. J. Consum. Mark. 2010, 27, 358–370. [Google Scholar] [CrossRef] [Green Version]
- Tan, C.-S.; Ooi, H.-Y.; Goh, Y.-N. A moral extension of the theory of planned behavior to predict consumers’ purchase intention for energy-efficient household appliances in Malaysia. Energy Policy 2017, 107, 459–471. [Google Scholar] [CrossRef]
- Zhou, K.; Yang, S.; Shen, C.; Ding, S.; Sun, C. Energy conservation and emission reduction of China’s electric power industry. Renew. Sustain. Energy Rev. 2015, 45, 10–19. [Google Scholar] [CrossRef]
- Commission Of The European Communities. Action Plan for Energy Efficiency: Realising the Potential COM (2006) 545 Final; CEC: Brussels, Belgium, 2006. [Google Scholar]
- Mills, B.; Schleich, J. Analysis of existing data: Determinants for the adoption of energy-efficient household appliances in Germany. In Sustainable Energy Consumption in Residential Buildings; Springer: Berlin, Germany, 2013; pp. 39–67. [Google Scholar]
- Ek, K.; Söderholm, P. The devil is in the details: Household electricity saving behavior and the role of information. Energy Policy 2010, 38, 1578–1587. [Google Scholar] [CrossRef]
- Urban, J.; Ščasný, M. Exploring domestic energy-saving: The role of environmental concern and background variables. Energy Policy 2012, 47, 69–80. [Google Scholar] [CrossRef]
- Waris, I.; Hameed, I. An empirical study of purchase intention of energy-efficient home appliances: The influence of knowledge of eco-labels and psychographic variables. Int. J. Energy Sect. Manag. 2020, 14, 1297–1314. [Google Scholar] [CrossRef]
- Oikonomou, V.; Becchis, F.; Steg, L.; Russolillo, D. Energy saving and energy efficiency concepts for policy making. Energy Policy 2009, 37, 4787–4796. [Google Scholar] [CrossRef]
- Mills, B.; Schleich, J. Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries. Energy Policy 2012, 49, 616–628. [Google Scholar] [CrossRef]
- Wang, Z.; Wang, X.; Guo, D. Policy implications of the purchasing intentions towards energy-efficient appliances among China’s urban residents: Do subsidies work? Energy Policy 2017, 102, 430–439. [Google Scholar] [CrossRef]
- Abrahamse, W.; Steg, L. How do socio-demographic and psychological factors relate to households’ direct and indirect energy use and savings? J. Econ. Psychol. 2009, 30, 711–720. [Google Scholar] [CrossRef]
- Niemeyer, S. Consumer voices: Adoption of residential energy-efficient practices. Int. J. Consum. Stud. 2010, 34, 140–145. [Google Scholar] [CrossRef]
- Pothitou, M.; Hanna, R.F.; Chalvatzis, K.J. Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study. Appl. Energy 2016, 184, 1217–1229. [Google Scholar] [CrossRef]
- Tanner, C.; Wölfing Kast, S. Promoting sustainable consumption: Determinants of green purchases by Swiss consumers. Psychol. Mark. 2003, 20, 883–902. [Google Scholar] [CrossRef]
- Jain, S.K.; Kaur, G. Role of socio-demographics in segmenting and profiling green consumers: An exploratory study of consumers in India. J. Int. Consum. Mark. 2006, 18, 107–146. [Google Scholar] [CrossRef]
- Jeong, G.; Kim, Y. The effects of energy efficiency and environmental labels on appliance choice in South Korea. Energy Effic. 2015, 8, 559–576. [Google Scholar] [CrossRef]
- Lin, J.; Lobo, A.; Leckie, C. The role of benefits and transparency in shaping consumers’ green perceived value, self-brand connection and brand loyalty. J. Retail. Consum. Serv. 2017, 35, 133–141. [Google Scholar] [CrossRef]
- Zhang, L.; Fan, Y.; Zhang, W.; Zhang, S. Extending the theory of planned behavior to explain the effects of cognitive factors across different kinds of green products. Sustainability 2019, 11, 4222. [Google Scholar] [CrossRef] [Green Version]
- International Engergy Agency. Energy Access Outlook 2017: From Poverty to Prosperity; IEA: Paris, France, 2017. [Google Scholar]
- Iqbal, S.; Chu, J.; Hali, S.M. Projecting impact of CPEC on Pakistan’s electric power crisis. Chin. J. Popul. Resour. Environ. 2019, 17, 310–321. [Google Scholar] [CrossRef]
- Rafique, M.M.; Rehman, S. National energy scenario of Pakistan–Current status, future alternatives, and institutional infrastructure: An overview. Renew. Sustain. Energy Rev. 2017, 69, 156–167. [Google Scholar] [CrossRef]
- Ali, S.; Danish, M.; Khuwaja, F.M.; Sajjad, M.S.; Zahid, H. The intention to adopt green IT products in Pakistan: Driven by the modified theory of consumption values. Environments 2019, 6, 53. [Google Scholar] [CrossRef] [Green Version]
- The World Bank. Energy Efficiency Roadmap for Pakistan; The World Bank: Washington, DC, USA, 2019. [Google Scholar]
- Ali, S.; Ullah, H.; Akbar, M.; Akhtar, W.; Zahid, H. Determinants of Consumer Intentions to Purchase Energy-Saving Household Products in Pakistan. Sustainability 2019, 11, 1462. [Google Scholar] [CrossRef] [Green Version]
- Aslam, M.; Ahmad, E. Impact of Ageing and Generational Effects on Household Energy Consumption Behavior: Evidence from Pakistan. Energies 2018, 11, 2003. [Google Scholar] [CrossRef] [Green Version]
- Koon, O.; Chan, R.Y.; Sharma, P. Moderating effects of socio-cultural values on pro-environmental behaviors. Mark. Intell. Plan. 2020, 38, 603–618. [Google Scholar] [CrossRef]
- Park, E.; Kwon, S.J. What motivations drive sustainable energy-saving behavior?: An examination in South Korea. Renew. Sustain. Energy Rev. 2017, 79, 494–502. [Google Scholar] [CrossRef]
- Botetzagias, I.; Dima, A.-F.; Malesios, C. Extending the Theory of Planned Behavior in the context of recycling: The role of moral norms and of demographic predictors. Resour. Conserv. Recycl. 2015, 95, 58–67. [Google Scholar] [CrossRef] [Green Version]
- De Medeiros, J.F.; Ribeiro, J.L.D.; Cortimiglia, M.N. Influence of perceived value on purchasing decisions of green products in Brazil. J. Clean. Prod. 2016, 110, 158–169. [Google Scholar] [CrossRef]
- Pan, J.Y.; Truong, D. Passengers’ intentions to use low-cost carriers: An extended theory of planned behavior model. J. Air Transp. Manag. 2018, 69, 38–48. [Google Scholar] [CrossRef]
- Paul, J.; Modi, A.; Patel, J. Predicting green product consumption using theory of planned behavior and reasoned action. J. Retail. Consum. Serv. 2016, 29, 123–134. [Google Scholar] [CrossRef]
- Yadav, R.; Pathak, G.S. Young consumers’ intention towards buying green products in a developing nation: Extending the theory of planned behavior. J. Clean. Prod. 2016, 135, 732–739. [Google Scholar] [CrossRef]
- Khan, H.A.; Pervaiz, S. Technological review on solar PV in Pakistan: Scope, practices and recommendations for optimized system design. Renew. Sustain. Energy Rev. 2013, 23, 147–154. [Google Scholar] [CrossRef]
- Acheampong, R.A.; Siiba, A. Modelling the determinants of car-sharing adoption intentions among young adults: The role of attitude, perceived benefits, travel expectations and socio-demographic factors. Transportation 2019, 47, 2557–2580. [Google Scholar] [CrossRef] [Green Version]
- Prati, G.; Pietrantoni, L.; Zani, B. The prediction of intention to consume genetically modified food: Test of an integrated psychosocial model. Food Qual. Prefer. 2012, 25, 163–170. [Google Scholar] [CrossRef]
- Liao, Y.-K.; Wu, W.-Y.; Pham, T.-T. Examining the Moderating Effects of Green Marketing and Green Psychological Benefits on Customers’ Green Attitude, Value and Purchase Intention. Sustainability 2020, 12, 7461. [Google Scholar] [CrossRef]
- Hartmann, P.; Apaolaza-Ibáñez, V. Consumer attitude and purchase intention toward green energy brands: The roles of psychological benefits and environmental concern. J. Bus. Res. 2012, 65, 1254–1263. [Google Scholar] [CrossRef]
- Allison, T.H.; McKenny, A.F.; Short, J.C. The effect of entrepreneurial rhetoric on microlending investment: An examination of the warm-glow effect. J. Bus. Ventur. 2013, 28, 690–707. [Google Scholar] [CrossRef]
- Nunes, P.A.; Schokkaert, E. Identifying the warm glow effect in contingent valuation. J. Environ. Econ. Manag. 2003, 45, 231–245. [Google Scholar] [CrossRef]
- Al Mamun, A.; Mohamad, M.R.; Yaacob, M.R.B.; Mohiuddin, M. Intention and behavior towards green consumption among low-income households. J. Environ. Manag. 2018, 227, 73–86. [Google Scholar] [CrossRef]
- Maichum, K.; Parichatnon, S.; Peng, K.-C. Application of the extended theory of planned behavior model to investigate purchase intention of green products among Thai consumers. Sustainability 2016, 8, 1077. [Google Scholar] [CrossRef] [Green Version]
- Ajzen, I. Constructing a TPB Questionnaire: Conceptual and Methodological Considerations. 2002. Available online: http://people.umass.edu/aizen/pdf/tpb.measurement.pdf (accessed on 15 June 2016).
- Aman, A.L.; Harun, A.; Hussein, Z. The influence of environmental knowledge and concern on green purchase intention the role of attitude as a mediating variable. Br. J. Arts Soc. Sci. 2012, 7, 145–167. [Google Scholar]
- Zainudin, N.; Siwar, C.; Choy, E.A.; Chamhuri, N. Evaluating the role of energy efficiency label on consumers’ purchasing behaviour. Apcbee Procedia 2014, 10, 326–330. [Google Scholar] [CrossRef] [Green Version]
- Nguyen, T.N. Determinants Which Influence Purchase Behaviour of Energy Efficient Household Appliances in Emerging Markets. Goals Sustain. Dev. Responsib. Gov. 2018, 97–110. [Google Scholar]
- Mi, L.; Zhu, H.; Yang, J.; Gan, X.; Xu, T.; Qiao, L.; Liu, Q. A new perspective to promote low-carbon consumption: The influence of reference groups. Ecol. Econ. 2019, 161, 100–108. [Google Scholar] [CrossRef]
- Wang, Z.; Sun, Q.; Wang, B.; Zhang, B. Purchasing intentions of Chinese consumers on energy-efficient appliances: Is the energy efficiency label effective? J. Clean. Prod. 2019, 238, 117896. [Google Scholar] [CrossRef]
- Beck, L.; Ajzen, I. Predicting dishonest actions using the theory of planned behavior. J. Res. Personal. 1991, 25, 285–301. [Google Scholar] [CrossRef]
- Verma, V.K.; Chandra, B. An application of theory of planned behavior to predict young Indian consumers’ green hotel visit intention. J. Clean. Prod. 2018, 172, 1152–1162. [Google Scholar] [CrossRef]
- Li, G.; Li, W.; Jin, Z.; Wang, Z. Influence of Environmental Concern and Knowledge on Households’ Willingness to Purchase Energy-Efficient Appliances: A Case Study in Shanxi, China. Sustainability 2019, 11, 1073. [Google Scholar] [CrossRef] [Green Version]
- Hua, L.; Wang, S. Antecedents of Consumers’ Intention to Purchase Energy-Efficient Appliances: An Empirical Study Based on the Technology Acceptance Model and Theory of Planned Behavior. Sustainability 2019, 11, 2994. [Google Scholar] [CrossRef] [Green Version]
- Chen, M.-F. 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. J. Clean. Prod. 2016, 112, 1746–1753. [Google Scholar] [CrossRef]
- Yuriev, A.; Dahmen, M.; Paillé, P.; Boiral, O.; Guillaumie, L. Pro-environmental behaviors through the lens of the theory of planned behavior: A scoping review. Resour. Conserv. Recycl. 2020, 155, 104660. [Google Scholar] [CrossRef]
- Davies, J.; Foxall, G.R.; Pallister, J. Beyond the intention–behaviour mythology: An integrated model of recycling. Mark. Theory 2002, 2, 29–113. [Google Scholar] [CrossRef]
- Ertz, M.; Huang, R.; Jo, M.-S.; Karakas, F.; Sarigollu, E. From single-use to multi-use: Study of consumers’ behavior toward consumption of reusable containers. J. Environ. Manag. 2017, 193, 334–344. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wang, P.; Liu, Q.; Qi, Y. Factors influencing sustainable consumption behaviors: A survey of the rural residents in China. J. Clean. Prod. 2014, 63, 152–165. [Google Scholar] [CrossRef]
- Rhodes, R.E.; Courneya, K.S. Investigating multiple components of attitude, subjective norm, and perceived control: An examination of the theory of planned behaviour in the exercise domain. Br. J. Soc. Psychol. 2003, 42, 129–146. [Google Scholar] [CrossRef] [PubMed]
- Ajzen, I. The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Ajzen, I. The theory of planned behavior: Frequently asked questions. Hum. Behav. Emerg. Technol. 2020, 2, 314–324. [Google Scholar] [CrossRef]
- Sreen, N.; Purbey, S.; Sadarangani, P. Impact of culture, behavior and gender on green purchase intention. J. Retail. Consum. Serv. 2018, 41, 177–189. [Google Scholar] [CrossRef]
- Kaffashi, S.; Shamsudin, M.N. Transforming to a low carbon society; an extended theory of planned behaviour of Malaysian citizens. J. Clean. Prod. 2019, 235, 1255–1264. [Google Scholar] [CrossRef]
- Sriram, V.; Forman, A.M. The Relative Importance of Products’ Environmental Attributes: A Cross-cultural Comparison. Int. Mark. Rev. 1993, 10. [Google Scholar] [CrossRef]
- White, K.; Habib, R.; Hardisty, D.J. How to SHIFT consumer behaviors to be more sustainable: A literature review and guiding framework. J. Mark. 2019, 83, 22–49. [Google Scholar] [CrossRef] [Green Version]
- Nadricka, K.; Millet, K.; Verlegh, P.W. When organic products are tasty: Taste inferences from an Organic= Healthy Association. Food Qual. Prefer. 2020, 83, 103896. [Google Scholar] [CrossRef]
- Nganje, W.E.; Hughner, R.S.; Patterson, P.M. Perception of risks and preferences for locally grown produce: A marketing system approach. J. Food Prod. Mark. 2014, 20, 196–214. [Google Scholar] [CrossRef]
- Fan, L.; Liu, G.; Wang, F.; Geissen, V.; Ritsema, C.J.; Tong, Y. Water use patterns and conservation in households of Wei River Basin, China. Resour. Conserv. Recycl. 2013, 74, 45–53. [Google Scholar] [CrossRef]
- Clark, C.F.; Kotchen, M.J.; Moore, M.R. Internal and external influences on pro-environmental behavior: Participation in a green electricity program. J. Environ. Psychol. 2003, 23, 237–246. [Google Scholar] [CrossRef]
- Frank-Martin Belz, K.P. Sustainability Marketing: A Global Perspective, 2nd ed.; John Wiley & Sons, Ltd.: Munich, Germany, 2012. [Google Scholar]
- Steinhart, Y.; Ayalon, O.; Puterman, H. The effect of an environmental claim on consumers’ perceptions about luxury and utilitarian products. J. Clean. Prod. 2013, 53, 277–286. [Google Scholar] [CrossRef]
- Andreoni, J. Giving With Impure Altruism: Applications to Charity and Ricardian Equivalence. J. Polit. Econ. 1989, 97, 1447–1458. [Google Scholar] [CrossRef]
- Andreoni, J. Impure Altruism and Donations to Public Goods: A Theory of Warm-Glow Giving. Econ. J. 1990, 100, 464–477. [Google Scholar] [CrossRef] [Green Version]
- James Baraz, S.A. The Helper’s High. Greater Good Magazine, 1 February 2010. [Google Scholar]
- Ritov, I.; Kahneman, D. How people value the environment: Attitudes versus economic values. In Environment, Ethics, and Behavior: The Psychology of Environmental Valuation And Degradation; The New Lexington Press: Francisco, CA, USA, 1997; pp. 33–51. [Google Scholar]
- Sánchez-Fernández, R.; Iniesta-Bonillo, M.Á.; Holbrook, M.B. The Conceptualisation and Measurement of Consumer Value in Services. Int. J. Mark. Res. 2009, 51, 1–17. [Google Scholar] [CrossRef]
- Wüstenhagen, R.; Bilharz, M. Green Energy Market Development in Germany: Effective Public Policy and Emerging Customer Demand. Energy Policy 2006, 34, 1681–1696. [Google Scholar] [CrossRef] [Green Version]
- Gneezy, U.; Rustichini, A. Pay Enough or Don’t Pay at All*. Q. J. Econ. 2000, 115, 791–810. [Google Scholar] [CrossRef]
- D’Amato, A.; Susanna, M.; Mariangela, Z. Two Shades of (warm) Glow: Multidimensional Intrinsic Motivation, Waste Reduction and Recycling. SEDS Working Paper Series. 2014. Available online: https://ideas.repec.org/p/srt/wpaper/2114.html (accessed on 15 August 2014).
- Carrington, M.J.; Neville, B.A.; Whitwell, G.J. Why Ethical Consumers Don’t Walk Their Talk: Towards a Framework for Understanding the Gap Between the Ethical Purchase Intentions and Actual Buying Behaviour of Ethically Minded Consumers. J. Bus. Ethics. 2010, 97, 139–158. [Google Scholar] [CrossRef]
- Ajzen, I. Constructing a Theory of Planned Behavior Questionnaire; University of Massachusetts: Amherst, MA, USA, 2006. [Google Scholar]
- Fang, W.-T.; Ng, E.; Wang, C.-M.; Hsu, M.-L. Normative Beliefs, Attitudes, and Social Norms: People Reduce Waste as an Index of Social Relationships When Spending Leisure Time. Sustainability 2017, 9, 1696. [Google Scholar] [CrossRef] [Green Version]
- Ajzen, I.; Fishbein, M. Understanding Attitudes and Predicting Social Behavior, 1st ed.; Pearson: London, UK, 1980. [Google Scholar]
- Yadav, R.; Pathak, G.S. Determinants of Consumers’ Green Purchase Behavior in a Developing Nation: Applying and Extending the Theory of Planned Behavior. Ecol. Econ. 2017, 134, 114–122. [Google Scholar] [CrossRef]
- Zuckerman, M.; Reis, H.T. Comparison of three models for predicting altruistic behavior. J. Personal. Soc. Psychol. 1978, 36, 498. [Google Scholar] [CrossRef]
- Mamun, A.; Mohiuddin, M.; Ahmad, G.; Ramayah, T.; Fazal, S. Recycling Intention and Behavior among Low-Income Households. Sustainability 2018, 10, 2407. [Google Scholar] [CrossRef] [Green Version]
- Chu, P.-Y.; Chiu, J.F. Factors Influencing Household Waste Recycling Behavior: Test of an integrated Model1. J. Appl. Soc. Psychol. 2003, 33, 604–626. [Google Scholar] [CrossRef]
- Wu, S.-I.; Chen, J.-Y. A Model of Green Consumption Behavior Constructed by the Theory of Planned Behavior. Int. J. Mark. Stud. 2014, 6, 119. [Google Scholar] [CrossRef]
- Stern, P. Toward a Coherent Theory of Environmentally Significant Behavior. J. Soc. Issues 2000, 56, 407–424. [Google Scholar] [CrossRef]
- Bamberg, S.; Hunecke, M.; Blöbaum, A. Social Context, Personal Norms and the use of Public Transportation: Two Field Studies. J. Environ. Psychol. 2007, 27, 190–203. [Google Scholar] [CrossRef]
- Hwang, J.; Lee, S. Cognitive, affective, normative, and moral triggers of sustainable intentions among convention-goers. J. Environ. Psychol. 2017, 51, 1–13. [Google Scholar]
- Onwezen, M.; Antonides, G.; Bartels, J. The Norm Activation Model: An Exploration of the Functions of Anticipated Pride and Guilt in Pro-environmental Behaviour. J. Econ. Psychol. 2013, 39, 141–153. [Google Scholar] [CrossRef]
- Fatoki, O. Factors Influencing the Purchase of Energy-Efficient Appliances by Young Consumers in South Africa. Found. Manag. 2020, 12, 151–166. [Google Scholar] [CrossRef]
- Hwang, J. What Motivates Delegates’ Conservation Behaviors While Attending a Convention? J. Travel Tour. Mark. 2016, 34, 82–98. [Google Scholar]
- Al Mamun, A.; Masud, M.M.; Fazal, S.A.; Muniady, R. Green vehicle adoption behavior among low-income households: Evidence from coastal Malaysia. Environ. Sci. Pollut. Res. 2019, 26, 27305–27318. [Google Scholar] [CrossRef] [PubMed]
- Ivancevich, J.M.; Konopaske, R.; Matteson, M.T. Organizational Behavior and Management, 10th ed.; McGraw-Hill Education: New York, NY, USA, 2008. [Google Scholar]
- Fishbein, M.; Ajzen, I. Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research; Philarchive: Boston, MA, USA, 1975; Volume 27. [Google Scholar]
- Wang, S.; Fan, J.; Zhao, D.; Yang, S.; Fu, Y. Predicting consumers’ intention to adopt hybrid electric vehicles: Using an extended version of the theory of planned behavior model. Transportation 2016, 43, 123–143. [Google Scholar] [CrossRef]
- Gadenne, D.; Sharma, B.; Kerr, D.; Smith, T. The influence of consumers’ environmental beliefs and attitudes on energy saving behaviours. Energy Policy 2011, 39, 7684–7694. [Google Scholar] [CrossRef]
- Egmond, C.; Jonkers, R.; Kok, G. A strategy to encourage housing associations to invest in energy conservation. Energy Policy 2005, 33, 2374–2384. [Google Scholar] [CrossRef]
- Lopes, J.R.N.; Kalid, R.D.A.; Rodríguez, J.L.M.; Ávila Filho, S. A new model for assessing industrial worker behavior regarding energy saving considering the theory of planned behavior, norm activation model and human reliability. Resour. Conserv. Recycl. 2019, 145, 268–278. [Google Scholar] [CrossRef]
- Wang, B.; Wang, X.; Guo, D.; Zhang, B.; Wang, Z. Analysis of factors influencing residents’ habitual energy-saving behaviour based on NAM and TPB models: Egoism or altruism? Energy Policy 2018, 116, 68–77. [Google Scholar] [CrossRef]
- Sultan, P.; Tarafder, T.; Pearson, D.; Henryks, J. Intention-behaviour gap and perceived behavioural control-behaviour gap in theory of planned behaviour: Moderating roles of communication, satisfaction and trust in organic food consumption. Food Qual. Prefer. 2020, 81, 103838. [Google Scholar] [CrossRef]
- Finlay, K.A.; Trafimow, D.; Moroi, E. The Importance of Subjective Norms on Intentions to Perform Health Behaviors. J. Appl. Soc. Psychol. 1999, 29, 2381–2393. [Google Scholar] [CrossRef]
- Black, J.; Stern, P.; Elworth, J. Personal and Contextual Influences on Household Energy Adaptations. J. Appl. Psychol. 1985, 70, 3–21. [Google Scholar] [CrossRef]
- Ha, H.-Y.; Janda, S. Predicting Consumer Intentions to Purchase Energy-Efficient Products. In The Customer is NOT Always Right? Marketing Orientationsin a Dynamic Business World; Campbell, C.L., Ed.; Springer International Publishing: Cham, Switzerland, 2017; p. 897. [Google Scholar]
- Zhao, H.; Gao, Q.; Wu, Y.; Wang, Y.; Zhu, X. What affects green consumer behavior in China? A case study from Qingdao. J. Clean. Prod. 2014, 63, 143–151. [Google Scholar] [CrossRef]
- Chen, M.-F.; Tung, P.-J. Developing an extended Theory of Planned Behavior model to predict consumers’ intention to visit green hotels. Int. J. Hosp. Manag. 2014, 36, 221–230. [Google Scholar] [CrossRef]
- Bamberg, S. How does environmental concern influence specific environmentally related behaviors? A new answer to an old question. J. Environ. Psychol. 2003, 23, 21–32. [Google Scholar] [CrossRef]
- Devi, J.; Pudaruth, S.; Noyaux, M. Analysing the impact of green marketing strategies on consumer purchasing patterns in Mauritius. World J. Entrep. Manag. Sustain. Dev. 2012, 8, 36–59. [Google Scholar]
- Laroche, M.; Toffoli, R.; Kim, C.; Muller, T.E. The influence of culture on pro-environmental knowledge, attitudes, and behavior: A Canadian perspective. Adv. Consum. Res. 1996, 23, 196–202. [Google Scholar]
- Minton, E.; Spielmann, N.; Kahle, L.; Kim, C.H. The subjective norms of sustainable consumption: A cross-cultural exploration. J. Bus. Res. 2017, 82, 400–408. [Google Scholar] [CrossRef]
- Ramayah, T.; Lee, J.; Mohamad, O. Green product purchase intention: Some insights from a developing country. Resour. Conserv. Recycl. 2010, 54, 1419–1427. [Google Scholar] [CrossRef]
- Nguyen, T.; Yang, Z.; Nguyen, T.N.; Johnson, L.; Cao, T. Greenwash and Green Purchase Intention: The Mediating Role of Green Skepticism. Sustainability 2019, 11, 2653. [Google Scholar] [CrossRef] [Green Version]
- Lee, S. Consumers’ Value, Environmental Consciousness, and Willingness to Pay more toward Green-Apparel Products. J. Glob. Fash. Mark. 2011, 2, 161–169. [Google Scholar] [CrossRef]
- Chen, F.; Chen, H.; Guo, D.; Long, R. Analysis of undesired environmental behavior among Chinese undergraduates. J. Clean. Prod. 2017, 162, 1239–1251. [Google Scholar] [CrossRef]
- Ha, H.Y.; Janda, S. Predicting consumer intentions to purchase energy-efficient products. J. Consum. Mark. 2012, 29, 461–469. [Google Scholar] [CrossRef]
- Nguyen, T.N.; Lobo, A.; Nguyen, B.K. Young consumers’ green purchase behaviour in an emerging market. J. Strateg. Mark. 2018, 26, 583–600. [Google Scholar] [CrossRef]
- Alam, S.S.; Hashim, N.H.N.; Rashid, M.; Omar, N.A.; Ahsan, N.; Ismail, M.D. Small-scale households renewable energy usage intention: Theoretical development and empirical settings. Renew. Energy 2014, 68, 255–263. [Google Scholar] [CrossRef]
- Calvo-Porral, C.; Faíña-Medín, A.; Nieto-Mengotti, M. Satisfaction and switching intention in mobile services: Comparing lock-in and free contracts in the Spanish market. Telemat. Inform. 2017, 34, 717–729. [Google Scholar] [CrossRef]
- Wang, B.; Li, J.; Sun, A.; Wang, Y.; Wu, D. Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods. Sustainability 2019, 12, 30. [Google Scholar] [CrossRef] [Green Version]
- Fornell, C.; Larcker, D.F. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. J. Mark. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
- Henseler, J.; Ringle, C.M.; Sarstedt, M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 2015, 43, 115–135. [Google Scholar] [CrossRef] [Green Version]
- Sarstedt, M.; Ringle, C.M.; Henseler, J.; Hair, J.F. On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012). Long Range Plan. 2013, 47, 154–160. [Google Scholar] [CrossRef]
- Henseler, J. Why generalized structured component analysis is not universally preferable to structural equation modeling. J. Acad. Mark. Sci. 2012, 40, 402–413. [Google Scholar] [CrossRef] [Green Version]
- Ek, K. Public and private attitudes towards “green” electricity: The case of Swedish wind power. Energy Policy 2005, 33, 1677–1689. [Google Scholar] [CrossRef]
- Ajzen, I.; Driver, B.L. Prediction of Leisure Participation from Behavioral, Normative, and Control Beliefs: An Application of the Theory of Planned Behavior. Leis. Sci. 1991, 13, 185–204. [Google Scholar] [CrossRef]
- Wang, Z.; Zhang, B.; Li, G. Determinants of energy-saving behavioral intention among residents in Beijing: Extending the theory of planned behavior. J. Renew. Sustain. Energy 2014, 6, 053127. [Google Scholar] [CrossRef]
- Jayanti, R.; Gowda, R. Sustainability dilemmas in emerging economies. IIMB Manag. Rev. 2014, 26, 130–142. [Google Scholar] [CrossRef] [Green Version]
- Kirmani, M.D.; Khan, M.N. Environmental concern to attitude towards green products: Evidences from India. Serb. J. Manag. 2016, 11, 159–179. [Google Scholar]
- Soomro, Y.A. Antecedents of brand loyalty in the fashion industry of Pakistan: Moderating effect of Individual-level collectivist values. MPRA 2019, 6, 33–46. [Google Scholar]
- Higueras-Castillo, E.; Liébana-Cabanillas, F.; Muñoz-Leiva, F.; Molinillo, S. The role of collectivism in modeling the adoption of renewable energies: A cross-cultural approach. Int. J. Environ. Sci. Technol. 2019, 16, 2143–2160. [Google Scholar] [CrossRef]
- Mohai, P. Men, women, and the environment: An examination of the gender gap in environmental concern and activism. Soc. Nat. Resour. 1992, 5, 1–19. [Google Scholar] [CrossRef]
- Diamantopoulos, A.; Schlegelmilch, B.B.; Sinkovics, R.R.; Bohlen, G.M. Can socio-demographics still play a role in profiling green consumers? A review of the evidence and an empirical investigation. J. Bus. Res. 2003, 56, 465–480. [Google Scholar] [CrossRef]
- Singh, V.; Chauhan, S.C.; Tejyan, S. Greenhouse gas emission reduction potentials in air transport: A structural equation modelling-based multi-group analysis. Technol. Anal. Strateg. Manag. 2017, 29, 442–461. [Google Scholar] [CrossRef]
Frequency | Percentage | |
---|---|---|
Gender | ||
Female | 346 | 51.40% |
Male | 327 | 48.60% |
Total | 673 | 100% |
Age | ||
18–24 | 245 | 36.40% |
25–34 | 260 | 38.60% |
35–44 | 88 | 13.10% |
>45 | 80 | 11.90% |
Total | 673 | 100% |
Education | ||
College degree | 176 | 26% |
Undergraduate | 229 | 34% |
Master’s or PhD degree | 268 | 40% |
Total | 673 | 100% |
Income level | ||
Less than or equal to 50,000 Rs | 211 | 31.40% |
50,001–99,000 Rs | 331 | 49.20% |
Greater than or equal to100,000 Rs | 131 | 19.50% |
Total | 673 | 100% |
Constructs | Items | Loading | CR | AVE |
---|---|---|---|---|
Utilitarian environmental benefits | UEB1 | 0.840 | 0.905 | 0.762 |
UEB2 | 0.876 | |||
UEB3 | 0.870 | |||
Warm glow benefits | WGB1 | 0.840 | 0.897 | 0.744 |
WGB2 | 0.876 | |||
WGB3 | 0.870 | |||
Normative belief | NB1 | 0.747 | 0.882 | 0.715 |
NB2 | 0.883 | |||
NB3 | 0.889 | |||
Moral obligations | MB1 | 0.906 | 0.893 | 0.736 |
MB2 | 0.821 | |||
MB3 | 0.898 | |||
Eco-literacy | ECL1 | 0.811 | 0.871 | 0.692 |
ECL2 | 0.834 | |||
ECL3 | 0.850 | |||
Attitude | AT1 | 0.878 | 0.886 | 0.722 |
AT2 | 0.862 | |||
AT3 | 0.810 | |||
Subjective norms | SN1 | 0.647 | 0.816 | 0.600 |
SN2 | 0.866 | |||
SN3 | 0.795 | |||
Perceived behavioral control | PBC1 | 0.801 | 0.818 | 0.600 |
PBC2 | 0.742 | |||
PBC3 | 0.780 | |||
Purchase intention | PI1 | 0.790 | 0.924 | 0.752 |
PI2 | 0.886 | |||
PI3 | 0.895 | |||
PI4 | 0.896 |
AT | EL | PBC | PI | SN | UEB | WGB | MB | NB | |
Attitude | 0.850 | ||||||||
Eco-literacy | 0.561 | 0.832 | |||||||
Perceived behavioral control | 0.555 | 0.602 | 0.775 | ||||||
Purchase intention | 0.649 | 0.408 | 0.573 | 0.867 | |||||
Subjective norms | 0.553 | 0.518 | 0.523 | 0.465 | 0.775 | ||||
Utilitarian environmental benefits | 0.678 | 0.589 | 0.573 | 0.718 | 0.501 | 0.873 | |||
Warm-glow benefits | 0.625 | 0.567 | 0.585 | 0.561 | 0.489 | 0.624 | 0.862 | ||
Moral obligations | 0.635 | 0.658 | 0.609 | 0.633 | 0.444 | 0.762 | 0.693 | 0.858 | |
Normative belief_ | 0.654 | 0.651 | 0.547 | 0.494 | 0.623 | 0.632 | 0.660 | 0.692 | 0.846 |
Heterotrait-Monotrait Ratio (HTMT) Matrix | |||||||||
Attitude | |||||||||
Eco-literacy | 0.704 | ||||||||
Perceived behavioral control | 0.751 | 0.816 | |||||||
Purchase intention | 0.764 | 0.488 | 0.717 | ||||||
Subjective norms | 0.774 | 0.739 | 0.791 | 0.601 | |||||
Utilitarian environmental benefits | 0.819 | 0.724 | 0.738 | 0.828 | 0.671 | ||||
Warm-glow benefits | 0.764 | 0.703 | 0.766 | 0.654 | 0.673 | 0.746 | |||
Moral obligations | 0.781 | 0.823 | 0.799 | 0.742 | 0.627 | 0.641 | 0.842 | ||
Normative belief | 0.829 | 0.827 | 0.749 | 0.604 | 0.843 | 0.789 | 0.829 | 0.880 |
Hypothesis | Beta | T-Value | Status |
---|---|---|---|
H1: Utilitarian Environmental benefits → Purchase Intention | 0.471 | 11.151 ** | Accepted |
H2: Warm glow benefits → Purchase Intention | 0.331 | 7.492 ** | Accepted |
H3: Normative belief → Purchase Intention | 0.606 | 16.357 ** | Accepted |
H4: Moral obligation → Purchase Intention | 0.024 | 0.626 | Rejected |
H5: Attitude → Purchase Intention | 0.480 | 13.535 ** | Accepted |
H6: Subjective norm → Purchase Intention | 0.081 | 2.543 ** | Accepted |
H7: Perceived behavioral control → Purchase Intention | 0.324 | 9.215 ** | Accepted |
H8: Attitude × Eco-literacy → Purchase Intention | 0.510 | 14.28 ** | Accepted |
H9: Subjective norms × Eco-literacy → Purchase Intention | 0.141 | 4.293 * | Accepted |
H10: Perceived behavioral control × Eco-literacy → Purchase Intention | 0.017 | 0.772 | Rejected |
H1 | H2 | H3 | H4 | H5 | H6 | H7 | |
---|---|---|---|---|---|---|---|
Gender | |||||||
Male | 0.520 | 0.375 | 0.583 | 0.001 | 0.497 | 0.057 | 0.028 |
Female | 0.403 | 0.308 | 0.645 | 0.034 | 0.454 | 0.056 | 0.303 |
Diff | 0.117 | 0.067 | −0.062 | −0.033 | 0.043 | 0.001 | −0.275 |
PLS MGA Value | 0.189 | 0.469 | 0.404 | 0.674 | 0.567 | 0.986 | 0.491 |
Age | |||||||
Young | 0.451 | 0.345 | 0.566 | 0.050 | 0.044 | 0.073 | 0.286 |
Elder | 0.494 | 0.319 | 0.644 | 0.008 | 0.011 | 0.051 | −0.203 |
Diff | −0.043 | 0.026 | −0.078 | 0.042 | 0.032 | 0.022 | 0.489 |
PLS MGA Value | 0.606 | 0.768 | 0.295 | 0.579 | 0.887 | 0.727 | 0.004 |
Education | |||||||
Low | 0.353 | 0.409 | 0.623 | −0.068 | 0.554 | 0.082 | 0.294 |
High | 0.494 | 0.31 | 0.602 | 0.052 | 0.46 | 0.057 | 0.367 |
Diff | 0.141 | 0.099 | 0.021 | −0.12 | 0.094 | 0.025 | −0.073 |
PLS MGA Value | 0.968 | 0.335 | 0.784 | 0.214 | 0.305 | 0.735 | 0.471 |
Income | |||||||
Low | 0.430 | 0.369 | 0.145 | −0.015 | 0.456 | 0.157 | 0.323 |
High | 0.482 | 0.323 | −0.019 | 0.028 | 0.483 | 0.045 | 0.360 |
Diff | −0.052 | 0.046 | 0.164 | −0.043 | −0.027 | 0.112 | −0.037 |
PLS MGA Value | 0.644 | 0.676 | 0.017 | 0.643 | 0.791 | 0.165 | 0.721 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Bhutto, M.Y.; Liu, X.; Soomro, Y.A.; Ertz, M.; Baeshen, Y. Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior. Sustainability 2021, 13, 250. https://doi.org/10.3390/su13010250
Bhutto MY, Liu X, Soomro YA, Ertz M, Baeshen Y. Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior. Sustainability. 2021; 13(1):250. https://doi.org/10.3390/su13010250
Chicago/Turabian StyleBhutto, Muhammad Yaseen, Xiaohui Liu, Yasir Ali Soomro, Myriam Ertz, and Yasser Baeshen. 2021. "Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior" Sustainability 13, no. 1: 250. https://doi.org/10.3390/su13010250
APA StyleBhutto, M. Y., Liu, X., Soomro, Y. A., Ertz, M., & Baeshen, Y. (2021). Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior. Sustainability, 13(1), 250. https://doi.org/10.3390/su13010250