Araştırma Makalesi
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Proposing A Conceptual Model To Explain Middle School Students' Energy Use Intentions

Yıl 2023, Cilt: 23 Sayı: 2, 177 - 198, 29.12.2023
https://doi.org/10.53629/sakaefd.1362948

Öz

This study aims to conduct an in-depth investigation of the intentions toward renewable energy use among 813 middle school students attending three different public schools in the province of Bursa, Turkey, within the framework of the Theory of Planned Behavior. The research proposed a model consisting of attitude, subjective norm, perceived behavioral control, and intention components, and tests the validity of this model through Structural Equation Modeling. A multidimensional 'Intention Toward Renewable Energy Use Scale' was designed to measure intentions and its validity was tested using confirmatory factor analysis. The analysis results indicated that the developed scale has high validity and reliability coefficients. Structural Equation Modeling techniques were employed to examine the relationships between the components of the proposed model. The findings revealed that the students' attitude and perceived behavioral control variables positively predict intentions toward renewable energy use. However, the results also indicated that another critical component of this model, subjective norms, does not have a significant impact on intentions toward renewable energy use. These outcomes suggest that, particularly in a social and cultural context specific to the middle school student population, components of the Theory of Planned Behavior might display a different impact profile. These insights could guide important policy and educational practices, especially in Turkey where socio-cultural factors may play a crucial role in shaping behavior and intentions.

Kaynakça

  • Abrahamse, W., & Steg, L. (2011). Factors related to household energy use and intention to reduce it: The role of psychological and socio-demographic variables. Human Ecology Review, 18(1), 30–40. Abrahamse, W., Steg, L., Gifford, R., & Vlek, C. (2009). Factors influencing car use for commuting and the intention to reduce it: A question of self-interest or morality?. Transportation Research Part F: Traffic Psychology and Behaviour, 12(4), 317-324.
  • Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. (2007). The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviors, and behavioral antecedents. Journal of Environmental Psychology, 27(4), 265-276.
  • Abusaada, H., & Elshater, A. (2023). Developing a guiding framework based on sustainable development to alleviate poverty, hunger and disease. Archnet-IJAR: International Journal of Architectural Research.
  • Ajzen, I. & Fishbein, M. (1975). Belief, attitude, intention and behavior: an introduction to theory and research.
  • Ajzen, I. (1991), “The Theory of Planned Behaviour”, Organization Behaviour and Human Decision Process, 50, 179-211.
  • Ajzen, I. (2012), “The Theory of Planned Behavior, in P.A.M Lange”,
  • W. Kruglanski, Alam, S. S., & Rashid, M. (2012). Intention to use renewable energy: mediating role of attitude. Energy Research Journal, 3(2), 37-44.
  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-stepapproach. Psychological Bulletin,103(3), 411–423.
  • Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta‐analytic review. British Journal of Social Psychology, 40(4), 471-499.
  • Arnocky, S., Stroink, M., & DeCicco, T. (2007). Self-construal predicts environmental concern, cooperation, and conservation. Journal of Environmental Psychology, 27(4), 255-264.
  • Ateş, H. (2020). Merging theory of planned behavior and value identity personal norm model to explain pro-environmental behaviors. Sustainable Production and Consumption, 24, 169-180.
  • Ateş, H. (2021). Understanding students’ and science educators’ eco-labeled food purchase behaviors: Extension of theory of planned behavior with self-identity, personal norm, willingness to pay, and eco-label knowledge. Ecology of Food and Nutrition, 60(4), 454-472.
  • Bahcivan, E., & Cobern, W. W. (2016). Investigating coherence among Turkish elementary science teachers' teaching belief systems, pedagogical content knowledge and practice. Australian Journal of Teacher Education (Online), 41(10), 63.
  • Baz, K., Cheng, J., Xu, D., Abbas, K., Ali, I., Ali, H., & Fang, C. (2021). Asymmetric impact of fossil fuel and renewable energy consumption on economic growth: A nonlinear technique. Energy, 226, 120357.
  • Chen, M. F., & Tung, P. J. (2014). Developing an extended theory of planned behavior model to predict consumers’ intention to visit green hotels. International Journal of Hospitality Management, 36, 221-230.
  • Dahlman, C. (2007). Technology, globalization, and international competitiveness: Challenges for developing countries. Industrial development for the 21st century: Sustainable development perspectives, 29-83.
  • De Leeuw, A., Valois, P., Ajzen, I., & Schmidt, P. (2015). Using the theory of planned behavior to identify key beliefs underlying pro-environmental behavior in high-school students: Implications for educational interventions. Journal of Environmental Psychology, 42, 128-138.
  • Duong, C. D., Doan, X. H., Vu, D. M., Ha, N. T., & Dam, K. V. (2022). The role of perceived environmental responsibility and environmental concern on shaping green purchase intention. Vision, 09722629221092117.
  • Enerji ve Tabi Kaynaklar Bakanlığı (2017). Enerji tüketimi. https://www.enerji.gov.tr
  • Fraenkel, J., Wallen, N., & Hyun, H. (2018). How to design and evaluate research in education (10th) ed.). McGraw-Hill.
  • Fransson, N., & Gärling, T. (1999). Environmental concern: Conceptual definitions, measurement methods, and research findings. Journal of environmental psychology, 19(4), 369-382.
  • Gaspar, R., Autunes, D., 2011. Energy efficiency and appliance purchases in Europe: consumer profiles and choice determinants. Energy Policy, 39 (11), 7335–7346. http://dx.doi.org/10.1016/j.enpol.2011.08.057.
  • Gupta, P. K., & Sharma, S. (2023). Literature review on effect of microfinance institutions on poverty in South Asian countries and their sustainability. International Journal of Emerging Markets, 18(8), 1827-1845.
  • Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2018).Multivariate data analysis(8th ed.). Cengage Learning, EMEA.
  • Halder, P., Pietarinen, J., Havu-Nuutinen, S., Pöllänen, S., & Pelkonen, P. (2016). The Theory of Planned Behavior model and students' intentions to use bioenergy: A cross- cultural perspective. Renewable Energy, 89, 627-635. International Energy Agency, 2014. World Energy Investment Outlook. Retrieved September 19, 2014 from 〈http://www.iea.org/publications/freepublications/ publication/WEIO2014.pdf〉
  • Irfan, M., Zhao, Z. Y., Ahmad, M., & Mukeshimana, M. C. (2019). Critical factors influencing wind power industry: A diamond model based study of India. Energy Reports, 5, 1222-1235.
  • Kılınç, A., Stanisstreet, M., & Boyes, E. (2009). Incentives and disincentives for using renewable energy: Turkish students’ ideas. Renewable and Sustainable Energy Reviews, 13(5), 1089-1095.
  • Kumar, M., Raut, R. D., Jagtap, S., & Choubey, V. K. (2023). Circular economy adoption challenges in the food supply chain for sustainable development. Business Strategy and the Environment, 32(4), 1334-1356.
  • Lee, J. W. C., & Tanusia, A. (2016, August). Energy conservation behavioural intention: Attitudes, subjective norm and self-efficacy. In IOP conference series: Earth and environmental science (Vol. 40, No. 1, p. 012087). IOP Publishing
  • Liu, M. T., Liu, Y., & Mo, Z. (2020). Moral norm is the key: An extension of the theory of planned behaviour (TPB) on Chinese consumers' green purchase intention. Asia Pacific Journal of Marketing and Logistics, 32(8), 1823-1841.
  • Martínez, V., & Castillo, O. L. (2016). The political ecology of hydropower: Social justice and conflict in Colombian hydroelectricity development. Energy Research & Social Science, 22, 69-78.
  • Milli Eğitim Bakanlığı (MEB). (2018). Ortakul Fen Bilimleri 6. sınıf Ders Kitabı. Ankara.
  • Mukhtarov, S., Yüksel, S., & Dinçer, H. (2022). The impact of financial development on renewable energy consumption: Evidence from Turkey. Renewable Energy, 187, 169-176.
  • Mutezo, G., & Mulopo, J. (2021). A review of Africa's transition from fossil fuels to renewable energy using circular economy principles. Renewable and Sustainable Energy Reviews, 137, 110609.
  • Noor, R., Maqsood, A., Baig, A., Pande, C. B., Zahra, S. M., Saad, A., ... & Singh, S. K. (2023). A comprehensive review on water pollution, South Asia Region: Pakistan. Urban Climate, 48, 101413.
  • 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.
  • Reynolds, T., Kolodinsky, J., Murray, B., 2012. Consumer preferences and willingness to pay for compactf luorescent lighting: policy implications for energy efficiency promotion in Saint Lucia. Energy Policy 41, 712–722. http://dx.doi.org/10.1016/ j.enpol.2011.11.035
  • Sahin, E. (2013). Predictors of Turkish elementary teacher candidates' energy conservation behaviors: an approach on value-belief-norm theory. International Journal of Environmental and Science Education, 8(2), 269-283.
  • Sahin, E. (2016). Household energy conservation from elementary science teacher candidates' perspective. College Student Journal, 50(2), 302-314.
  • Saidur, R., Masjuki, H.H., Jamaluddin, M.Y., 2007. An application of energy and energy analysis in residential sector of Malaysia. Energy Policy, 35 (2), 1050–1063.
  • Schneider, F., Kallis, G., & Martinez-Alier, J. (2010). Crisis or opportunity? Economic degrowth for social equity and ecological sustainability. Introduction to this special issue. Journal of cleaner production, 18(6), 511-518.
  • Tan, C. S., Ooi, H. Y., & Goh, Y. N. (2017). A moral extension of the theory of planned behavior to predict consumers’ purchase intention for energy-efficient household appliances in Malaysia. Energy Policy, 107, 459-471.
  • Taufique, K. M. R., & Vaithianathan, S. (2018). A fresh look at understanding Green consumer behavior among young urban Indian consumers through the lens of Theory of Planned Behavior. Journal of Cleaner Production, 183, 46-55.
  • Taylor, P.G., d’Ortigue, O.L., Francoeur, M., Trudeau, N., 2010. Final energy use in IEA countries: the role of energy efficiency. Energy Policy 38 (11), 6463–6474. http:// dx.doi.org/10.1016/j.enpol.2009.05.009.
  • Türkiye Elektrik İletim A.Ş, Elektrik İstatistikleri (TEİAŞ). (2017)
  • Upreti, B. R., & van der Horst, D. (2004). National renewable energy policy and local opposition in the UK: the failed development of a biomass electricity plant. Biomass and Bioenergy, 26(1), 61-69.
  • Van der Werff, E., & Steg, L. (2015). One model to predict them all: Predicting energy behaviours with the norm activation model. Energy Research & Social Science, 6, 8–14. https://doi.org/10.1016/j.erss.2014.11.002
  • Van der Werff, E., & Steg, L. (2016). The psychology of participation and interest in smart energy systems: Comparing the value-belief-norm theory and the valueidentity-personal norm model. Energy Research & Social Science, 22, 107–114. https://doi.org/10.1016/j.erss.2016.08.022
  • Verma, V. K., & Chandra, B. (2018). An application of theory of planned behavior to predict young Indian consumers' green hotel visit intention. Journal of cleaner production, 172, 1152-1162.
  • Wang, B., Ren, C., Dong, X., Zhang, B., & Wang, Z. (2019). Determinants shaping willingness towards on-line recycling behaviour: An empirical study of household e-waste recycling in China. Resources, Conservation and Recycling, 143, 218-225.
  • Wang, Z., Zhang, B., Yin, J., & Zhang, Y. (2011). Determinants and policy implications for household electricity-saving behaviour: evidence from Beijing, China. Energy Policy, 39(6), 3550-3557.
  • Winskel, M. (2014). Embedding social sciences in interdisciplinary research: recent experiences from interdisciplinary energy research. Science as Culture, 23(3), 413-418.
  • Wüstenhagen, R., Wolsink, M., & Bürer, M. J. (2007). Social acceptance of renewable energy innovation: An introduction to the concept. Energy policy, 35(5), 2683-2691.
  • Xu, X., Goswami, S., Gulledge, J., Wullschleger, S. D., & Thornton, P. E. (2016). Interdisciplinary research in climate and energy sciences. Wiley Interdisciplinary Reviews: Energy and Environment, 5(1), 49-56.
  • Yadav, R., & Pathak, G. S. (2016). Young consumers' intention towards buying green products in a developing nation: Extending the theory of planned behavior. Journal of Cleaner Production, 135, 732-739.
  • Yılmaz, V., & Varol, S. (2015). Hazır Yazılımlar İle Yapısal Eşitlik Modellemesi: AMOS, EQS, LISREL. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 44(4), 28- 44.
  • Zawadzki, S. J., Vrieling, L., & van der Werff, E. (2022). What influences public acceptability of sustainable energy policies? The crucial role of funding and who benefits. Energy Research & Social Science, 87, 102468.
  • Zeiske, N., Venhoeven, L., Steg, L., & van der Werff, E. (2021). The normative route to a sustainable future: Examining children’s environmental values, identity and personal norms to conserve energy. Environment and Behavior, 53(10), 1118-1139.
  • Zhang, S. (2012). International competitiveness of China's wind turbine manufacturing industry and implications for future development. Renewable and Sustainable Energy Reviews, 16(6), 3903-3909.

Ortaokul Öğrencilerinin Enerji Kullanım Niyetlerini Açıklamaya Yönelik Kavramsal Bir Modelin Geliştirilmesi

Yıl 2023, Cilt: 23 Sayı: 2, 177 - 198, 29.12.2023
https://doi.org/10.53629/sakaefd.1362948

Öz

Bu çalışma, Bursa ilinde üç farklı devlet okulunda öğrenim görmekte olan 813 ortaokul öğrencisinin yenilenebilir enerji kullanımına yönelik niyetlerini planlanmış davranış teorisi çerçevesinde derinlemesine incelemeyi hedeflemektedir. Araştırmada, tutum, öznel norm, algılanan davranış kontrolü ve niyet bileşenlerinden oluşan bir model önerilmiş ve bu modelin geçerliliği yapısal eşitlik modellemesi kullanılarak test edilmiştir. Yenilenebilir enerji kullanımına yönelik niyeti ölçmek amacıyla çok boyutlu bir 'Yenilenebilir Enerji Kullanımına Yönelik Niyet Ölçeği' tasarlanmış ve bu ölçeğin geçerliliği doğrulayıcı faktör analizi ile test edilmiştir. Analiz sonuçları, tasarlanan ölçeğin yüksek geçerlilik ve güvenirlik katsayılarına sahip olduğunu göstermektedir. Önerilen modelin bileşenleri arasındaki ilişkileri incelemek için yapısal eşitlik modellemesi teknikleri kullanılmıştır. Bulgular, öğrencilerin yenilenebilir enerji kullanımına yönelik tutum ve algılanan davranış kontrolü değişkenlerinin niyeti pozitif bir şekilde yordadığını göstermektedir. Ancak, bu modelin bir diğer kritik bileşeni olan öznel normların, yenilenebilir enerji kullanımına yönelik niyet üzerinde anlamlı bir etkisinin olmadığını ortaya koymaktadır. Bu sonuçlar, özellikle ortaokul öğrenci popülasyonuna özgü bir sosyal ve kültürel bağlamda, planlanmış davranış teorisi bileşenlerinin farklı bir etki profili sergileyebileceğini işaret etmektedir. Sonuçlar göz önüne alınarak farklı faktörlerin etkisini daha kapsamlı bir şekilde değerlendirmek için etik inançlar, bilgi seviyesi, faklı coğrafik bölgelere ve sosyoekonomik durum gibi değişkenler de araştırmalara dâhil edilerek benzer araştırmaların yapılması önerilebilir.

Kaynakça

  • Abrahamse, W., & Steg, L. (2011). Factors related to household energy use and intention to reduce it: The role of psychological and socio-demographic variables. Human Ecology Review, 18(1), 30–40. Abrahamse, W., Steg, L., Gifford, R., & Vlek, C. (2009). Factors influencing car use for commuting and the intention to reduce it: A question of self-interest or morality?. Transportation Research Part F: Traffic Psychology and Behaviour, 12(4), 317-324.
  • Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. (2007). The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviors, and behavioral antecedents. Journal of Environmental Psychology, 27(4), 265-276.
  • Abusaada, H., & Elshater, A. (2023). Developing a guiding framework based on sustainable development to alleviate poverty, hunger and disease. Archnet-IJAR: International Journal of Architectural Research.
  • Ajzen, I. & Fishbein, M. (1975). Belief, attitude, intention and behavior: an introduction to theory and research.
  • Ajzen, I. (1991), “The Theory of Planned Behaviour”, Organization Behaviour and Human Decision Process, 50, 179-211.
  • Ajzen, I. (2012), “The Theory of Planned Behavior, in P.A.M Lange”,
  • W. Kruglanski, Alam, S. S., & Rashid, M. (2012). Intention to use renewable energy: mediating role of attitude. Energy Research Journal, 3(2), 37-44.
  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-stepapproach. Psychological Bulletin,103(3), 411–423.
  • Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta‐analytic review. British Journal of Social Psychology, 40(4), 471-499.
  • Arnocky, S., Stroink, M., & DeCicco, T. (2007). Self-construal predicts environmental concern, cooperation, and conservation. Journal of Environmental Psychology, 27(4), 255-264.
  • Ateş, H. (2020). Merging theory of planned behavior and value identity personal norm model to explain pro-environmental behaviors. Sustainable Production and Consumption, 24, 169-180.
  • Ateş, H. (2021). Understanding students’ and science educators’ eco-labeled food purchase behaviors: Extension of theory of planned behavior with self-identity, personal norm, willingness to pay, and eco-label knowledge. Ecology of Food and Nutrition, 60(4), 454-472.
  • Bahcivan, E., & Cobern, W. W. (2016). Investigating coherence among Turkish elementary science teachers' teaching belief systems, pedagogical content knowledge and practice. Australian Journal of Teacher Education (Online), 41(10), 63.
  • Baz, K., Cheng, J., Xu, D., Abbas, K., Ali, I., Ali, H., & Fang, C. (2021). Asymmetric impact of fossil fuel and renewable energy consumption on economic growth: A nonlinear technique. Energy, 226, 120357.
  • Chen, M. F., & Tung, P. J. (2014). Developing an extended theory of planned behavior model to predict consumers’ intention to visit green hotels. International Journal of Hospitality Management, 36, 221-230.
  • Dahlman, C. (2007). Technology, globalization, and international competitiveness: Challenges for developing countries. Industrial development for the 21st century: Sustainable development perspectives, 29-83.
  • De Leeuw, A., Valois, P., Ajzen, I., & Schmidt, P. (2015). Using the theory of planned behavior to identify key beliefs underlying pro-environmental behavior in high-school students: Implications for educational interventions. Journal of Environmental Psychology, 42, 128-138.
  • Duong, C. D., Doan, X. H., Vu, D. M., Ha, N. T., & Dam, K. V. (2022). The role of perceived environmental responsibility and environmental concern on shaping green purchase intention. Vision, 09722629221092117.
  • Enerji ve Tabi Kaynaklar Bakanlığı (2017). Enerji tüketimi. https://www.enerji.gov.tr
  • Fraenkel, J., Wallen, N., & Hyun, H. (2018). How to design and evaluate research in education (10th) ed.). McGraw-Hill.
  • Fransson, N., & Gärling, T. (1999). Environmental concern: Conceptual definitions, measurement methods, and research findings. Journal of environmental psychology, 19(4), 369-382.
  • Gaspar, R., Autunes, D., 2011. Energy efficiency and appliance purchases in Europe: consumer profiles and choice determinants. Energy Policy, 39 (11), 7335–7346. http://dx.doi.org/10.1016/j.enpol.2011.08.057.
  • Gupta, P. K., & Sharma, S. (2023). Literature review on effect of microfinance institutions on poverty in South Asian countries and their sustainability. International Journal of Emerging Markets, 18(8), 1827-1845.
  • Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2018).Multivariate data analysis(8th ed.). Cengage Learning, EMEA.
  • Halder, P., Pietarinen, J., Havu-Nuutinen, S., Pöllänen, S., & Pelkonen, P. (2016). The Theory of Planned Behavior model and students' intentions to use bioenergy: A cross- cultural perspective. Renewable Energy, 89, 627-635. International Energy Agency, 2014. World Energy Investment Outlook. Retrieved September 19, 2014 from 〈http://www.iea.org/publications/freepublications/ publication/WEIO2014.pdf〉
  • Irfan, M., Zhao, Z. Y., Ahmad, M., & Mukeshimana, M. C. (2019). Critical factors influencing wind power industry: A diamond model based study of India. Energy Reports, 5, 1222-1235.
  • Kılınç, A., Stanisstreet, M., & Boyes, E. (2009). Incentives and disincentives for using renewable energy: Turkish students’ ideas. Renewable and Sustainable Energy Reviews, 13(5), 1089-1095.
  • Kumar, M., Raut, R. D., Jagtap, S., & Choubey, V. K. (2023). Circular economy adoption challenges in the food supply chain for sustainable development. Business Strategy and the Environment, 32(4), 1334-1356.
  • Lee, J. W. C., & Tanusia, A. (2016, August). Energy conservation behavioural intention: Attitudes, subjective norm and self-efficacy. In IOP conference series: Earth and environmental science (Vol. 40, No. 1, p. 012087). IOP Publishing
  • Liu, M. T., Liu, Y., & Mo, Z. (2020). Moral norm is the key: An extension of the theory of planned behaviour (TPB) on Chinese consumers' green purchase intention. Asia Pacific Journal of Marketing and Logistics, 32(8), 1823-1841.
  • Martínez, V., & Castillo, O. L. (2016). The political ecology of hydropower: Social justice and conflict in Colombian hydroelectricity development. Energy Research & Social Science, 22, 69-78.
  • Milli Eğitim Bakanlığı (MEB). (2018). Ortakul Fen Bilimleri 6. sınıf Ders Kitabı. Ankara.
  • Mukhtarov, S., Yüksel, S., & Dinçer, H. (2022). The impact of financial development on renewable energy consumption: Evidence from Turkey. Renewable Energy, 187, 169-176.
  • Mutezo, G., & Mulopo, J. (2021). A review of Africa's transition from fossil fuels to renewable energy using circular economy principles. Renewable and Sustainable Energy Reviews, 137, 110609.
  • Noor, R., Maqsood, A., Baig, A., Pande, C. B., Zahra, S. M., Saad, A., ... & Singh, S. K. (2023). A comprehensive review on water pollution, South Asia Region: Pakistan. Urban Climate, 48, 101413.
  • 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.
  • Reynolds, T., Kolodinsky, J., Murray, B., 2012. Consumer preferences and willingness to pay for compactf luorescent lighting: policy implications for energy efficiency promotion in Saint Lucia. Energy Policy 41, 712–722. http://dx.doi.org/10.1016/ j.enpol.2011.11.035
  • Sahin, E. (2013). Predictors of Turkish elementary teacher candidates' energy conservation behaviors: an approach on value-belief-norm theory. International Journal of Environmental and Science Education, 8(2), 269-283.
  • Sahin, E. (2016). Household energy conservation from elementary science teacher candidates' perspective. College Student Journal, 50(2), 302-314.
  • Saidur, R., Masjuki, H.H., Jamaluddin, M.Y., 2007. An application of energy and energy analysis in residential sector of Malaysia. Energy Policy, 35 (2), 1050–1063.
  • Schneider, F., Kallis, G., & Martinez-Alier, J. (2010). Crisis or opportunity? Economic degrowth for social equity and ecological sustainability. Introduction to this special issue. Journal of cleaner production, 18(6), 511-518.
  • Tan, C. S., Ooi, H. Y., & Goh, Y. N. (2017). A moral extension of the theory of planned behavior to predict consumers’ purchase intention for energy-efficient household appliances in Malaysia. Energy Policy, 107, 459-471.
  • Taufique, K. M. R., & Vaithianathan, S. (2018). A fresh look at understanding Green consumer behavior among young urban Indian consumers through the lens of Theory of Planned Behavior. Journal of Cleaner Production, 183, 46-55.
  • Taylor, P.G., d’Ortigue, O.L., Francoeur, M., Trudeau, N., 2010. Final energy use in IEA countries: the role of energy efficiency. Energy Policy 38 (11), 6463–6474. http:// dx.doi.org/10.1016/j.enpol.2009.05.009.
  • Türkiye Elektrik İletim A.Ş, Elektrik İstatistikleri (TEİAŞ). (2017)
  • Upreti, B. R., & van der Horst, D. (2004). National renewable energy policy and local opposition in the UK: the failed development of a biomass electricity plant. Biomass and Bioenergy, 26(1), 61-69.
  • Van der Werff, E., & Steg, L. (2015). One model to predict them all: Predicting energy behaviours with the norm activation model. Energy Research & Social Science, 6, 8–14. https://doi.org/10.1016/j.erss.2014.11.002
  • Van der Werff, E., & Steg, L. (2016). The psychology of participation and interest in smart energy systems: Comparing the value-belief-norm theory and the valueidentity-personal norm model. Energy Research & Social Science, 22, 107–114. https://doi.org/10.1016/j.erss.2016.08.022
  • Verma, V. K., & Chandra, B. (2018). An application of theory of planned behavior to predict young Indian consumers' green hotel visit intention. Journal of cleaner production, 172, 1152-1162.
  • Wang, B., Ren, C., Dong, X., Zhang, B., & Wang, Z. (2019). Determinants shaping willingness towards on-line recycling behaviour: An empirical study of household e-waste recycling in China. Resources, Conservation and Recycling, 143, 218-225.
  • Wang, Z., Zhang, B., Yin, J., & Zhang, Y. (2011). Determinants and policy implications for household electricity-saving behaviour: evidence from Beijing, China. Energy Policy, 39(6), 3550-3557.
  • Winskel, M. (2014). Embedding social sciences in interdisciplinary research: recent experiences from interdisciplinary energy research. Science as Culture, 23(3), 413-418.
  • Wüstenhagen, R., Wolsink, M., & Bürer, M. J. (2007). Social acceptance of renewable energy innovation: An introduction to the concept. Energy policy, 35(5), 2683-2691.
  • Xu, X., Goswami, S., Gulledge, J., Wullschleger, S. D., & Thornton, P. E. (2016). Interdisciplinary research in climate and energy sciences. Wiley Interdisciplinary Reviews: Energy and Environment, 5(1), 49-56.
  • Yadav, R., & Pathak, G. S. (2016). Young consumers' intention towards buying green products in a developing nation: Extending the theory of planned behavior. Journal of Cleaner Production, 135, 732-739.
  • Yılmaz, V., & Varol, S. (2015). Hazır Yazılımlar İle Yapısal Eşitlik Modellemesi: AMOS, EQS, LISREL. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 44(4), 28- 44.
  • Zawadzki, S. J., Vrieling, L., & van der Werff, E. (2022). What influences public acceptability of sustainable energy policies? The crucial role of funding and who benefits. Energy Research & Social Science, 87, 102468.
  • Zeiske, N., Venhoeven, L., Steg, L., & van der Werff, E. (2021). The normative route to a sustainable future: Examining children’s environmental values, identity and personal norms to conserve energy. Environment and Behavior, 53(10), 1118-1139.
  • Zhang, S. (2012). International competitiveness of China's wind turbine manufacturing industry and implications for future development. Renewable and Sustainable Energy Reviews, 16(6), 3903-3909.
Toplam 59 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Çevre Eğitimi ve Programlarının Geliştirilmesi
Bölüm Makaleler
Yazarlar

Gülçin Demirbağ 0009-0003-5991-857X

Dilber Polat 0000-0001-5931-0626

Yayımlanma Tarihi 29 Aralık 2023
Gönderilme Tarihi 20 Eylül 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 23 Sayı: 2

Kaynak Göster

APA Demirbağ, G., & Polat, D. (2023). Ortaokul Öğrencilerinin Enerji Kullanım Niyetlerini Açıklamaya Yönelik Kavramsal Bir Modelin Geliştirilmesi. Sakarya Üniversitesi Eğitim Fakültesi Dergisi, 23(2), 177-198. https://doi.org/10.53629/sakaefd.1362948