PRESENT ENVIRONMENT AND SUSTAINABLE DEVELOPMENT

Volume 17, Issue no.2/ 2023

Authors :

Veysel YILMAZ 1 , Erkan ARI 2 , Murat KIRKAĞAÇ 3,*

1 Eskişehir Osmangazi University, Faculty of Science, Department of Statistics, Eskişehir,Turkey.

2 Kütahya Dumlupınar University, Faculty of Economics and Administrative Sciences, Department of Econometrics, Kütahya, Turkey.

3 Kütahya Dumlupınar University, Kutahya Faculty of Applied Sciences, Department of Insurance and Risk Management, Kütahya, Turkey.

E-mail : * Corresponding author:murat.kirkagac@dpu.edu.tr

https://doi.org/10.47743/pesd2023172005

VIEW FULL TEXT

1. Ahmed, M.; Zehou, S.; Raza, S.A.; Qureshi, M.A.; Yousufi, S.Q. (2020) Impact of CSR and environmental triggers on employee green behavior: The mediating effect of employee well-being. Corp Soc Resp Env Manag, 27(5), 2225–2239. https://doi.org/10.1002/csr.1960
2. Ajzen, I. (1991) The theory of planned behavior. Organ Behav Hum Dec, 50(2), 179–211. http://dx.doi.org/10.1016/0749-5978(91)90020-T
3. Ajzen, I. (2015) Consumer attitudes and behavior: The theory of planned behavior applied to food consumption decisions. Italian Review of Agricultural Economics, 70(2), 121–138. https://doi.org/10.13128/REA-18003
4. Alam, S.S.; Nik Hashim, N.H.; Rashid, M.; Omar, N.A.; Ahsan, N.; Ismail, M.D. (2014) Small-scale households renewable energy usage intention: theoretical development and empirical settings. Renewable Energy, 68, 255–263.http://dx.doi.org/10.1016/ j.renene.2014.02.010
5. Albayrak, T.; Aksoy, S.; Caber, M. (2013) The effect of environmental concern and scepticism on green purchase behaviour. Marketing Intelligence and Planning, 31(1), 27–39.  https://doi.org/10.1108/02634501311292902
6. Akyıldız, B.; Koçoğlu, D. (2022) Charging plastic bags within the demarketing: measuring the environmental attitude and environmental behaviour in Denizli: a structural equality model. Present Environment & Sustainable Development, 16(1), 35-50.https://doi.org/10.47743/pesd2022161003
7. Bamberg, S. (2003) How does environmental concern influence specific environmentally related behaviours? A new answer to an old question. J Environ Psychol, 23(1), 21–32. http://dx.doi.org/10.1016/S0272-4944(02)00078-6
8. Chan, L.; Bishop, B. (2013) A moral basis for recycling: extending the theory of planned behaviour. J Environ Psychol, 36, 96–102. http://dx.doi.org/10.1016/j.jenvp.2013.07.010.
9. Chan, E.S.W.; Hon, A.H.Y.; Chan, W.; Okumus, F. (2014) What drives employees' intentions to implement green practices in hotels? The role of knowledge, awareness, concern and ecological behaviour. Int J Hosp Manag, 40, 20–28. http://dx.doi.org/10.1016/j.ijhm.2014.03.001.
10. 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 Taiwane moral obligation matters. J Clean Prod, 112(2), 1746-1753.https://doi.org/10.1016/J.JCLEPRO.2015.07.043
11. Chen, M.F.; Tung, P.J. (2014) Developing an extended Theory of Planned Behavior model to predict consumers' intention to visit green hotels. Int J Hosp Manag, 36, 221–230. http://dx.doi.org/10.1016/j.ijhm.2013.09.006
12. Chin, W.W. (1998) The partial least squares approach to structural equation modeling. In Modern methods for business research; G. A. Marcoulides Ed.; Lawrence Erlbaum Associates: Mahwah, NJ, 1998; pp. 295-336.
13. Cohen, J. (1988) Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; Lawrence Erlbaum Associates: Hillsdale, NJ.
14. de Groot, J.; Steg, L. (2007) General beliefs and the theory of planned behavior: The role of environmental concerns in the TPB. J Appl Soc Psychol, 37(8), 1817–1836. https://doi.org/10.1111/j.1559-1816.2007.00239.x
15. Ek, K.; Soderholm, P. (2010) The devil is in the details: household electricity saving behavior and the role of information. Energy Policy, 38(3), 1578–1587. http://dx.doi.org/10.1016/j.enpol.2009.11.041
16. Frick, J.; Kaiser, F.G.; Wilson, M. (2004) Environmental knowledge and conservation behavior: exploring prevalence and structure in a representative sample. Pers Indiv Differ, 37(8), 1597–1613. http://dx.doi.org/10.1016/j.paid.2004.02.015
17. Fornell, C.; Larcker, D.F. (1981) Structural equation models with unobservable variables and measurement error: algebra and statistics. J Marketing Res, 18(3), 382–388. https://doi.org/10.1177%2F002224378101800313
18. Harland, P.; Staats, H.; Wilke, H.A.M. (1999) Explaining pro environmental intention and behavior by personal norms and the theory of planned behaviour.J Appl Soc Psychol, 29(12), 2505–2528. http://dx.doi.org/10.1111/j.1559-1816.1999.tb00123.x
19. Ibrahim, H.; Mariapan, M.; Lin, E. L. A.; Bidin, S. (2021) Environmental concern, attitude and intention in understanding student's antilittering behavior using structural equation modeling. Sustainability, 13(8), 1–12. https://doi.org/10.3390/su13084301
20. International Energy Agency (2014) World Energy Investment Outlook. Available online: http://www.iea.org/publications/freepublications/ publication/WEIO2014.pdf (Accesed on 19/09/2023).
21. Geisser, S. (1974) A predictive approach to the random effect model. Biometrika, 61(1), 101–107. https://doi.org/10.1093/biomet/61.1.101
22. Greaves, M.; Zibaras, L.D.; Stride, C. (2013) Using the theory of planned behavior to explore environmental behavioral intentions in the workplace. J Environ Psychol, 34, 109–120. http://dx.doi.org/10.1016/j.jenvp.2013.02.003
23. Güven, E.; Aydoğdu, M. (2012) Development of an awareness scale and determination of teacher candidates‟ awareness levels regarding environmental programs. Journal of Teacher Education and Educators, 1(2), 185-202.
24. Hair, J.F.; Hult, G.T.M.; Ringle, C.M.; Sarstedt, M. (2014) A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM); Sage: Thousand Oaks.
25. Kaiser, F.G. (2006) A moral extension of the theory of planned behavior: norms and anticipated feelings of regret in conservationism. Pers Indiv Differ, 41(1), 71–81. http://dx.doi.org/10.1016/j.paid.2005.11.028
26. Kaiser, F.G.; Wölfing, S.; Fuhrer, U. (1999) Environmental attitude and ecological behaviour. J Environ Psychol,19(1), 1–19. http://dx.doi.org/10.1006/jevp.1998.0107.
27. Koçak, E. (2020) Investigation of factors affecting consumers' energy savings for households. Hacettepe University Institute of Social Sciences, Master Thesis, Ankara
28. Lau, J.L.; Hashim, A.A.H. (2020) Mediation analysis of the relationship between environmental concern and intention to adopt green concepts. Smart and Sustainable Built Environment, 9(4), 539-556. https://doi.org/10.1108/SASBE-09-2018-0046
29. Masud, M.M; Akhtar, R.; Afroz, R.; Al-Amin, A.Q.; Kari, F.B. (2015) Pro-environmental behavior and public understanding of climate change. Mitig Adapt Strat Gl, 20(4), 591-600. https://doi.org/10.1007/s11027-013-9509-4
30. Mills, B.; Schleich, J. (2013) Analysis of existing data: determinants for the adoption of EEHA in Germany. Sustainable Energy Consumption in Residential Buildings, 44, 39–67. http://dx.doi.org/10.1007/978-3-7908-2849-8_2
31. Never, B.; Kuhn, S.; Fuhrmann- Riebel, H.; Albert, J.R.; Gsell, S.; Jaramillo, M.; Sendeza, B. (2022) Energy saving behaviours of middle class households in Ghana, Peru and the Philippines. Energ Sustain Dev, 68, 170-181. https://doi.org/10.1016/j.esd.2022.03.003
32. Pala, B. D; Esen, G.K. (2018) Energy label and energy efficiency awareness analysis at household electrical appliances in turkey. Journal of Productivity, 2, 81-97.  https://doi.org/10.1177/0958305X17729781
33. Pelenur, M. (2018) Household energy use: a study investigating viewpoints towards energy efficiency technologies and behaviour. Energy efficency, 11, 1825-1846. https://link.springer.com/article/10.1007/s12053-018-9624-x
34. Prete, M.I.; Piper, L.; Rizzo, C; Pino, G.; Capestro, M.; Mileti, A.; Guido, G. (2017) Determinants of Southern Italian households’ intention to adopt energy efficiency measures in residential building. J Clean Prod, 153, 83-91. http://dx.doi.org/10.1016/j.jclepro.2017.03.157
35. Ringle, C. M.; Sarstedt, M. (2016) Gain more insight from your PLS-SEM results the importance-performance map analysis. Industrial Management and Data Systems, 116(9), 1865–1886. https://doi.org/10.1108/IMDS-10-2015-0449
36. Song, Y.; Zhao, C.; Zhang, M. (2019) Does haze pollution promote the consumption of energy-saving appliances in China? An empirical study based on norm activation model. Resour Conserv Recy, 145, 220-229. https://doi.org/10.1016/j.resconrec.2018.03.003
37. del Mar Solà, M.; Escapa, M.; Galarraga, I. (2023) Effectiveness of monetary information in promoting the purchase of energy-efficient appliances: Evidence from a field experiment in Spain. Energy Research & Social Science, 95, 102887. https://doi.org/10.1016/j.erss.2022.102887
38. Suárez-Perales, I.; Valero-Gil, J.; la Hiz, D.I.L.-D.; Rivera-Torres, P.; Garcés-Ayerbe, C. (2018) Educating for the future: How higher education in environmental management affects pro-environmental behaviour. J Clean Prod, 321, 128972. https://doi.org/10.1016/j.jclepro.2021.128972
39. 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 EEHA in Malaysia. Energy Policy, 107, 459–471.  http://dx.doi.org/10.1016/j.enpol.2017.05.027
40. Tehci, A. (2022) Attitudes and behaviour towards marine pollution: a social marketing approach. Present Environment and Sustainable Development, 16(2), 25-38. https://doi.org/10.47743/pesd2022162003
41. Wang, B.; Wang, X.; Guo, D.; Zhang, B.; Wang Z. (2018) Analysis of factors influencing residents’ habitual energy-saving behaviour based on NAM and TPB models: Egoism or altruism? Energy Policy, 116, 68-77. https://doi.org/10.1016/j.enpol.2018.01.055
42. Wang, Z.; Wang, X.; Guo, D. (2017) Policy implications of the purchasing intentions towards energy-efficient appliances among China’s urban residents: Do subsidies work? Energy Policy, 102, 430-439. https://doi.org/10.1016/j.enpol.2016.12.049
43. Wang, Z.; Zhang, B.; Li, G. (2015) Determinants of an energy-saving behavioral intention among residents in Beijing: extending the theory of planned behavior. J Renew Sustain Ener, 6(5), 45–54. http://dx.doi.org/10.1063/1.4898363
44. 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. http://dx.doi.org/10.1016/j.enpol.2011.03.055
45. Wetzels, M., Odekerken-Schroder, G. And Van Oppen, C. (2009) Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration”. MIS Quarterly, 3(1), 177-196. https://doi.org/10.2307/20650284
46. Yılmaz, O.; Hotunluoğlu, H. (2015) Incentives for Renewable Energy and Turkey. Adnan Menderes University, Journal of Institute of Social Sciences, 2(2),74-97. https://doi.org/10.30803/adusobed.188787
47. Yue, B.; Sheng, G.; She, S.; Xu, J. (2020) Impact of Consumer Environmental Responsibility on Green Consumption Behavior in China: The Role of Environmental Concern and Price Sensitivity. Sustainability, 12(5), 2074. https://doi.org/10.3390/su12052074
48. Zhang, C.Y.; Yu, B.; Wang, J.W.; Wei, Y.M. (2018) Impact factors of household energy-saving behavior: An empirical study of Shandong Province in China. J Clean Prod, 185, 285-295. https://doi.org/10.1016/j.jclepro.2018.02.303
49. Zografakis, N.; Sifaki, E.; Pagalou, M.; Nikitaki, G.; Psarakis, V.; Tsagarakis, K.P. (2010) Assessment of public acceptance and willingness to pay for renewable energy sources in Crete. Renew Sust Energ Rev, 14(3), 1088–1095.https://doi.org/10.1016/j.rser.2009.11.009