Impact of environmental knowledge and perceived benefits on attitudes towards solar energy
DOI:
https://doi.org/10.15649/2346030X.4458Keywords:
renewable energy, structural equations, environmental knowledge, environmental intentionAbstract
The adoption of renewable energies is a concern in several countries, so we seek to identify the factors that influence the decision to purchase them, especially solar energy, which is accessible. In response to this, several studies have been conducted in developed countries, but in Mexico they are scarce. This study presents a structural equation model that integrates three latent variables, environmental knowledge as an independent variable, perceived benefits as a moderating variable and environmental intention as a dependent variable, which are related by three hypotheses. The hypotheses are validated with information from 511 responses to a questionnaire applied in Mexico and using the partial least squares approach integrated in the WarpPLS v.8 software with a confidence level of 95%. The results indicate that environmental knowledge about renewable energies is the basis for users to perceive the benefits they can obtain from their implementation, since this facilitates them to increase their investment intention. This is important, since the relationship of environmental knowledge with intentions through direct effects is lower than indirect effects when perceived benefits are the mediating variable.
References
[1] L. Y. Lin, K. T. Jing, C. T. Qing, and H. C. Yee, "Sustainable Development in Renewable Energy: Solar Energy Application in Malaysia," (in English), Journal of Advanced Research in Applied Sciences and Engineering Technology, Article vol. 43, no. 1, pp. 1-16, 2025, doi: 10.37934/araset.43.1.116.
[2] D. Frutos-Bencze, K. Avdiu, and S. Unger, "The effect of trade and monetary policy indicators on the development of renewable energy in Latin America," critical perspectives on international business, vol. 16, no. 4, pp. 337-359, 2020, doi: 10.1108/cpoib-04-2018-0037.
[3] R. Seminario-Córdova, "Latin America Towards Sustainability Through Renewable Energies: A Systematic Review," Energies, vol. 16, no. 21, p. 7422, 2023, doi: 10.3390/en16217422.
[4] J. L. García and V. Larco, "Review and Resource Assessment, Solar Energy in Different Region in Ecuador," E3s Web of Conferences, vol. 80, p. 01003, 2019, doi: 10.1051/e3sconf/20198001003.
[5] J. Moreno, J. P. Medina, and R. Palma-Behnke, "Latin America’s Renewable Energy Impact: Climate Change and Global Economic Consequences," Energies, vol. 17, no. 1, p. 179, 2023, doi: 10.3390/en17010179.
[6] S. H. Martínez et al., "Possible Energy Futures for Brazil and Latin America in Conservative and Stringent Mitigation Pathways Up to 2050," Technological Forecasting and Social Change, vol. 98, pp. 186-210, 2015, doi: 10.1016/j.techfore.2015.05.006.
[7] A. López-González, B. Domenech, and L. Ferrer‐Martí, "Sustainability and Design Assessment of Rural Hybrid Microgrids in Venezuela," Energy, vol. 159, pp. 229-242, 2018, doi: 10.1016/j.energy.2018.06.165.
[8] P. E. Escamilla-García, E. Fernández-Rodríguez, M. E. Jiménez-Castañeda, C. O. Jiménez-González, and J. A. Morales-Castro, "A Review of the Progress and Potential of Energy Generation From Renewable Sources in Latin America," Latin American Research Review, vol. 58, no. 2, pp. 383-402, 2023, doi: 10.1017/lar.2023.15.
[9] P. Reyes-Mercado and R. Rajagopal, "Adoption of Renewable Energy Technologies in Mexico," International Journal of Energy Sector Management, vol. 11, no. 4, pp. 626-649, 2017, doi: 10.1108/ijesm-02-2017-0001.
[10] A. Ebers Broughel, "On the ground in sunny Mexico: A case study of consumer perceptions and willingness to pay for solar-powered devices," World Development Perspectives, vol. 15, p. 100130, 2019/09/01/ 2019, doi: 10.1016/j.wdp.2019.100130.
[11] D. Sotelo-Medina, J. I. León-Balderrama, and R. E. Cabanillas-López, "Hurdles to the adoption of solar energy technologies in the Comcaac nation, Desemboque, Sonora, México, a case study," Journal-urban-rural and regional economy, vol. 6, no. 11, pp. 15-22, 2022, doi: 10.35429/jurre.2022.11.6.15.22.
[12] L. Player, P. H. P. Hanel, L. Whitmarsh, and P. Shah, "The 19-Item Environmental Knowledge Test (EKT-19): A short, psychometrically robust measure of environmental knowledge," Heliyon, vol. 9, no. 8, p. e17862, 2023/08/01/ 2023, doi: 10.1016/j.heliyon.2023.e17862.
[13] W. P. Wall, B. Khalid, M. Urbański, and M. Kot, "Factors Influencing Consumer’s Adoption of Renewable Energy," Energies, vol. 14, no. 17, doi: 10.3390/en14175420.
[14] H. V. Tran, A. V. Tran, N. Q. Ai Ho, and D. N. Pham, "Factors Influencing the Decision to Use Rooftop Solar Power Systems in Vietnam," Journal of Infrastructure Policy and Development, vol. 8, no. 6, p. 4631, 2024, doi: 10.24294/jipd.v8i6.4631.
[15] M. A. Gulzar, H. Asghar, J. Hwang, and W. Hassan, "China’s Pathway Towards Solar Energy Utilization: Transition to a Low-Carbon Economy," International Journal of Environmental Research and Public Health, vol. 17, no. 12, p. 4221, 2020, doi: 10.3390/ijerph17124221.
[16] I. Waris, I. Hameed, and R. Ali, "Predicting Household Sign Up for Solar Energy: An Empirical Study Based on the Extended Theory of Planned Behavior," International Journal of Energy Sector Management, vol. 17, no. 3, pp. 455-473, 2022, doi: 10.1108/ijesm-06-2021-0010.
[17] M. M. Hasan Emon, "Unveiling the Progression Towards Solar Power Adoption: A Comprehensive Analysis of Understanding, Awareness, and Acceptance of Solar Technology in Bangladesh," Economic Growth and Environment Sustainability, vol. 2, no. 2, pp. 105-111, 2023, doi: 10.26480/egnes.02.2023.105.111.
[18] K. Siler-Evans, I. L. Azevedo, M. G. Morgan, and J. Apt, "Regional Variations in the Health, Environmental, and Climate Benefits of Wind and Solar Generation," Proceedings of the National Academy of Sciences, vol. 110, no. 29, pp. 11768-11773, 2013, doi: 10.1073/pnas.1221978110.
[19] C. Chen, X. Xu, and S. H. Frey, "Who Wants Solar Water Heaters and Alternative Fuel Vehicles? Assessing Social–psychological Predictors of Adoption Intention and Policy Support in China," Energy Research & Social Science, vol. 15, pp. 1-11, 2016, doi: 10.1016/j.erss.2016.02.006.
[20] I. I. Burgos Espinoza, J. L. García Alcaraz, A. J. Gil López, Y. Aryanfar, and A. Keçebaş, "Achieving behavioral intention to renewable energy through perceived costs and benefits and environmental concern," (in English), Sustainable Futures, Article vol. 8, 2024, Art no. 100319, doi: 10.1016/j.sftr.2024.100319.
[21] M. H. Asif, Z. Tan, A. Borjali, M. Irfan, A. Razzaq, and W. Ameer, "Influencing Factors of Consumers’ Buying Intention of Solar Energy: A Structural Equation Modeling Approach," Environmental Science and Pollution Research, vol. 30, no. 11, pp. 30017-30032, 2022, doi: 10.1007/s11356-022-24286-w.
[22] H. J. El‐Khozondar and F. El-batta, "Solar Energy Implementation at the Household Level: Gaza Strip Case Study," Energy Sustainability and Society, vol. 12, no. 1, 2022, doi: 10.1186/s13705-022-00343-7.
[23] L. Ma, P. Shahbaz, S. u. Haq, and I. Boz, "Exploring the Moderating Role of Environmental Education in Promoting a Clean Environment," Sustainability, vol. 15, no. 10, p. 8127, 2023, doi: 10.3390/su15108127.
[24] T. D. Vu, H. V. Nguyen, and T. M. N. Nguyen, "Extend theory of planned behaviour model to explain rooftop solar energy adoption in emerging market. Moderating mechanism of personal innovativeness," Journal of Open Innovation: Technology, Market, and Complexity, vol. 9, no. 2, p. 100078, 2023/06/01/ 2023, doi: 10.1016/j.joitmc.2023.100078.
[25] A. Maqsoom, M. Hammad, M. Umer, A. Salman, and H. Ashraf, "From intentions to actions: unveiling the socio-psychological drivers of solar home system adoption in developing nations," Architectural Engineering and Design Management, pp. 1-18, 2024, doi: 10.1080/17452007.2024.2316658.
[26] I. I. Burgos-Espinoza, J. L. García-Alcaraz, A. J. Gil-López, and J. R. Díaz-Reza, "Effect of environmental knowledge on pro-environmental attitudes and behaviors: a comparative analysis between engineering students and professionals in Ciudad Juárez (Mexico)," (in English), J. Environ. Stud. Sci., Article 2024, doi: 10.1007/s13412-024-00991-5.
[27] P. C. Sun, H.-M. Wang, H.-L. Huang, and C.-W. Ho, "Consumer Attitude and Purchase Intention Toward Rooftop Photovoltaic Installation: The Roles of Personal Trait, Psychological Benefit, and Government Incentives," Energy & Environment, vol. 31, no. 1, pp. 21-39, 2018, doi: 10.1177/0958305x17754278.
[28] H.-L. Huang and L. K. Cheng, "Predicting Intention of Residential Solar Installation: The Role of Ecological Lifestyle, Consumer Innovativeness, Perceived Benefit, Government Incentives, and Solar Product Knowledge," Energy & Environment, vol. 34, no. 6, pp. 1826-1843, 2022, doi: 10.1177/0958305x221100525.
[29] J. Jeong and G. S. Maddala, "Testing the Rationality of Survey Data Using the Weighted Double-Bootstrapped Method of Moments," The Review of Economics and Statistics, vol. 78, no. 2, pp. 296-302, 1996, doi: 10.2307/2109931.
[30] G. Kisokanth, S. Prathapan, J. Indrakumar, and I. Ilankoon, "Validation of educational material for diabetes self-management education: Judgemental and criterion validity," Biomedical Research (0970-938X), Article vol. 29, no. 11, pp. 2290-2295, 2018, doi: 10.4066/biomedicalresearch.41-17-3601.
[31] P. Vonglao, "Application of fuzzy logic to improve the Likert scale to measure latent variables," Kasetsart Journal of Social Sciences, vol. 38, no. 3, pp. 337-344, 2017/09/01/ 2017, doi: 10.1016/j.kjss.2017.01.002.
[32] J. I. E. Hoffman, "Chapter 9 - Outliers and Extreme Values," in Basic Biostatistics for Medical and Biomedical Practitioners, J. I. E. Hoffman Ed., 2 edition ed. Boston, MA, USA: Academic Press, 2019, pp. 149-155.
[33] N. Kock, WarpPLS User Manual: Version 7.0. Laredo, TX, USA: ScriptWarp Systems, 2021, p. 142.
[34] J. L. García Alcaraz, F. A. Martínez Hernández, J. E. Olguín Tiznado, A. Realyvásquez Vargas, E. Jiménez Macías, and C. Javierre Lardies, "Effect of Quality Lean Manufacturing Tools on Commercial Benefits Gained by Mexican Maquiladoras," Mathematics, vol. 9, no. 9, p. 971, 2021, doi: 10.3390/math9090971.
[35] J. Hair, R. Hult, C. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling, Second ed. Newcastle upon Tyne, England, United Kingdom: Sage, 2016.
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