Predicting intention in applying solar energy technologies in agriculture industry: A moderated and mediated model
Excessive fossil fuel consumption has increased the greenhouse gases (GHG)s effect, and provoked climate change in recent decades. The agricultural industry, one of the major consumers of this energy type, highly contributes to the existing challenges. Applying solar energy technologies (SETs) in th...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Cleaner and Responsible Consumption |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666784323000037 |
| _version_ | 1797867585997373440 |
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| author | Amir Rahmani Ali Bonyadi Naeini |
| author_facet | Amir Rahmani Ali Bonyadi Naeini |
| author_sort | Amir Rahmani |
| collection | DOAJ |
| description | Excessive fossil fuel consumption has increased the greenhouse gases (GHG)s effect, and provoked climate change in recent decades. The agricultural industry, one of the major consumers of this energy type, highly contributes to the existing challenges. Applying solar energy technologies (SETs) in this industry can lead to the development of green energies and reduce existing problems. Structural equation modeling (SEM) is adopted to assess the factors influencing farmers' intention to utilize SETs. A researcher-devised questionnaire is distributed among 594 farmers in Tehran Province, Iran, and the obtained data is analyzed through AMOS (version 26) software package. The results revealed the positive and significant effects of attitude, awareness, self-efficacy, trust in technology, performance expectancy, and facilitating conditions on usage intention; thus, 57.4% predicted usage intention of SETs. The distance from the power grids (DPG)s moderates the correlation between 1) trust in technology and usage intention,2) the correlation between attitude and usage intention, and 3) facilitating conditions and trust in technology. Attitude partially mediated the correlation between variables (except self-efficacy) and usage intention. In addition to the theoretical implications, this study can assist the policymakers in defining policies for developing renewable energies (RE)s, especially solar, in developing countries. |
| first_indexed | 2024-04-09T23:42:34Z |
| format | Article |
| id | doaj.art-45246835609749c4bda6a2a6abf151c7 |
| institution | Directory Open Access Journal |
| issn | 2666-7843 |
| language | English |
| last_indexed | 2024-04-09T23:42:34Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner and Responsible Consumption |
| spelling | doaj.art-45246835609749c4bda6a2a6abf151c72023-03-18T04:43:01ZengElsevierCleaner and Responsible Consumption2666-78432023-03-018100102Predicting intention in applying solar energy technologies in agriculture industry: A moderated and mediated modelAmir Rahmani0Ali Bonyadi Naeini1Department of Management, Economics and Progress Engineering, Iran University of Science & Technology (IUST), Narmak, Tehran, IranCorresponding author. Department of Management, Economics and Progress Engineering, Iran University of Science&Technology (IUST), Narmak, Tehran, Iran.; Department of Management, Economics and Progress Engineering, Iran University of Science & Technology (IUST), Narmak, Tehran, IranExcessive fossil fuel consumption has increased the greenhouse gases (GHG)s effect, and provoked climate change in recent decades. The agricultural industry, one of the major consumers of this energy type, highly contributes to the existing challenges. Applying solar energy technologies (SETs) in this industry can lead to the development of green energies and reduce existing problems. Structural equation modeling (SEM) is adopted to assess the factors influencing farmers' intention to utilize SETs. A researcher-devised questionnaire is distributed among 594 farmers in Tehran Province, Iran, and the obtained data is analyzed through AMOS (version 26) software package. The results revealed the positive and significant effects of attitude, awareness, self-efficacy, trust in technology, performance expectancy, and facilitating conditions on usage intention; thus, 57.4% predicted usage intention of SETs. The distance from the power grids (DPG)s moderates the correlation between 1) trust in technology and usage intention,2) the correlation between attitude and usage intention, and 3) facilitating conditions and trust in technology. Attitude partially mediated the correlation between variables (except self-efficacy) and usage intention. In addition to the theoretical implications, this study can assist the policymakers in defining policies for developing renewable energies (RE)s, especially solar, in developing countries.http://www.sciencedirect.com/science/article/pii/S2666784323000037Solar energyRenewable energyUsage intentionStructural equation modeling (SEM)Mediator and moderator |
| spellingShingle | Amir Rahmani Ali Bonyadi Naeini Predicting intention in applying solar energy technologies in agriculture industry: A moderated and mediated model Cleaner and Responsible Consumption Solar energy Renewable energy Usage intention Structural equation modeling (SEM) Mediator and moderator |
| title | Predicting intention in applying solar energy technologies in agriculture industry: A moderated and mediated model |
| title_full | Predicting intention in applying solar energy technologies in agriculture industry: A moderated and mediated model |
| title_fullStr | Predicting intention in applying solar energy technologies in agriculture industry: A moderated and mediated model |
| title_full_unstemmed | Predicting intention in applying solar energy technologies in agriculture industry: A moderated and mediated model |
| title_short | Predicting intention in applying solar energy technologies in agriculture industry: A moderated and mediated model |
| title_sort | predicting intention in applying solar energy technologies in agriculture industry a moderated and mediated model |
| topic | Solar energy Renewable energy Usage intention Structural equation modeling (SEM) Mediator and moderator |
| url | http://www.sciencedirect.com/science/article/pii/S2666784323000037 |
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