Table1_Spatial disparities altered the determinants of biomass supply intention for clean energy: policy implications.DOCX
<p>Understanding the spatial variation of factors driving interest in bioenergy is important for designing effective energy policies. Although previous authors have broadly explored the determinants of biomass supply intentions in the field of bioenergy, the potential spatial variation of thes...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852014013883351040 |
|---|---|
| author | Rodrigue Ogoulonou Balagueman (17436723) |
| author2 | Eméline Sêssi Pélagie Assèdé (16562144) Ismail Moumouni-Moussa (17436726) Abdul Aziz Soumanou (17436729) Samadori Sorotori Honoré Biaou (16562141) |
| author2_role | author author author author |
| author_facet | Rodrigue Ogoulonou Balagueman (17436723) Eméline Sêssi Pélagie Assèdé (16562144) Ismail Moumouni-Moussa (17436726) Abdul Aziz Soumanou (17436729) Samadori Sorotori Honoré Biaou (16562141) |
| author_role | author |
| dc.creator.none.fl_str_mv | Rodrigue Ogoulonou Balagueman (17436723) Eméline Sêssi Pélagie Assèdé (16562144) Ismail Moumouni-Moussa (17436726) Abdul Aziz Soumanou (17436729) Samadori Sorotori Honoré Biaou (16562141) |
| dc.date.none.fl_str_mv | 2025-12-11T10:08:01Z |
| dc.identifier.none.fl_str_mv | 10.3389/fenrg.2023.1239710.s001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Table1_Spatial_disparities_altered_the_determinants_of_biomass_supply_intention_for_clean_energy_policy_implications_DOCX/30858239 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Nuclear Engineering Carbon Sequestration Science Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels) Carbon Capture Engineering (excl. Sequestration) Non-automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels) Chemical Engineering not elsewhere classified Power and Energy Systems Engineering (excl. Renewable Power) Renewable Power and Energy Systems Engineering (excl. Solar Cells) Energy Generation, Conversion and Storage Engineering Nuclear Engineering (incl. Fuel Enrichment and Waste Processing and Storage) Chemical Sciences not elsewhere classified geographic heterogeneity behavioral decision forestry biomass supply sustainable energy transition Benin |
| dc.title.none.fl_str_mv | Table1_Spatial disparities altered the determinants of biomass supply intention for clean energy: policy implications.DOCX |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Understanding the spatial variation of factors driving interest in bioenergy is important for designing effective energy policies. Although previous authors have broadly explored the determinants of biomass supply intentions in the field of bioenergy, the potential spatial variation of these factors has received limited consideration from bioenergy research. We performed a structural equation modeling based on the theory of planned behavior to investigate the impact of spatial disparities on factors determining people’s intentions to supply forestry residues for clean energy. Our data were generated through a survey of 247 participants randomly sampled from two contrasting geographic regions (north and south) of the Republic of Benin. We found that spatial disparities altered the effects of attitude and knowledge of renewable energy while income and perceived behavioral control exhibited consistent positive effects across geographical regions. Our findings imply that ignoring spatial disparities when analyzing bioenergy acceptance can lead to distorted inferences. These findings can be used as a baseline information by policymakers to develop region-specific actions for achieving local transition toward clean energy in the Republic of Benin.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_d209b8c8b4a9db626945541fa6e00a31 |
| identifier_str_mv | 10.3389/fenrg.2023.1239710.s001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30858239 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Table1_Spatial disparities altered the determinants of biomass supply intention for clean energy: policy implications.DOCXRodrigue Ogoulonou Balagueman (17436723)Eméline Sêssi Pélagie Assèdé (16562144)Ismail Moumouni-Moussa (17436726)Abdul Aziz Soumanou (17436729)Samadori Sorotori Honoré Biaou (16562141)Nuclear EngineeringCarbon Sequestration ScienceAutomotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)Carbon Capture Engineering (excl. Sequestration)Non-automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)Chemical Engineering not elsewhere classifiedPower and Energy Systems Engineering (excl. Renewable Power)Renewable Power and Energy Systems Engineering (excl. Solar Cells)Energy Generation, Conversion and Storage EngineeringNuclear Engineering (incl. Fuel Enrichment and Waste Processing and Storage)Chemical Sciences not elsewhere classifiedgeographic heterogeneitybehavioral decisionforestry biomass supplysustainable energy transitionBenin<p>Understanding the spatial variation of factors driving interest in bioenergy is important for designing effective energy policies. Although previous authors have broadly explored the determinants of biomass supply intentions in the field of bioenergy, the potential spatial variation of these factors has received limited consideration from bioenergy research. We performed a structural equation modeling based on the theory of planned behavior to investigate the impact of spatial disparities on factors determining people’s intentions to supply forestry residues for clean energy. Our data were generated through a survey of 247 participants randomly sampled from two contrasting geographic regions (north and south) of the Republic of Benin. We found that spatial disparities altered the effects of attitude and knowledge of renewable energy while income and perceived behavioral control exhibited consistent positive effects across geographical regions. Our findings imply that ignoring spatial disparities when analyzing bioenergy acceptance can lead to distorted inferences. These findings can be used as a baseline information by policymakers to develop region-specific actions for achieving local transition toward clean energy in the Republic of Benin.</p>2025-12-11T10:08:01ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.3389/fenrg.2023.1239710.s001https://figshare.com/articles/dataset/Table1_Spatial_disparities_altered_the_determinants_of_biomass_supply_intention_for_clean_energy_policy_implications_DOCX/30858239CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/308582392025-12-11T10:08:01Z |
| spellingShingle | Table1_Spatial disparities altered the determinants of biomass supply intention for clean energy: policy implications.DOCX Rodrigue Ogoulonou Balagueman (17436723) Nuclear Engineering Carbon Sequestration Science Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels) Carbon Capture Engineering (excl. Sequestration) Non-automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels) Chemical Engineering not elsewhere classified Power and Energy Systems Engineering (excl. Renewable Power) Renewable Power and Energy Systems Engineering (excl. Solar Cells) Energy Generation, Conversion and Storage Engineering Nuclear Engineering (incl. Fuel Enrichment and Waste Processing and Storage) Chemical Sciences not elsewhere classified geographic heterogeneity behavioral decision forestry biomass supply sustainable energy transition Benin |
| status_str | publishedVersion |
| title | Table1_Spatial disparities altered the determinants of biomass supply intention for clean energy: policy implications.DOCX |
| title_full | Table1_Spatial disparities altered the determinants of biomass supply intention for clean energy: policy implications.DOCX |
| title_fullStr | Table1_Spatial disparities altered the determinants of biomass supply intention for clean energy: policy implications.DOCX |
| title_full_unstemmed | Table1_Spatial disparities altered the determinants of biomass supply intention for clean energy: policy implications.DOCX |
| title_short | Table1_Spatial disparities altered the determinants of biomass supply intention for clean energy: policy implications.DOCX |
| title_sort | Table1_Spatial disparities altered the determinants of biomass supply intention for clean energy: policy implications.DOCX |
| topic | Nuclear Engineering Carbon Sequestration Science Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels) Carbon Capture Engineering (excl. Sequestration) Non-automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels) Chemical Engineering not elsewhere classified Power and Energy Systems Engineering (excl. Renewable Power) Renewable Power and Energy Systems Engineering (excl. Solar Cells) Energy Generation, Conversion and Storage Engineering Nuclear Engineering (incl. Fuel Enrichment and Waste Processing and Storage) Chemical Sciences not elsewhere classified geographic heterogeneity behavioral decision forestry biomass supply sustainable energy transition Benin |