Uncovering the determinants of bottom-up CO2 emissions among households in Türkiye: Analysis and policy recommendations
Özet
Amid escalating global concerns surrounding climate change, the transportation sector has garnered the attention of stakeholders. Double-hurdle censored models were employed in this study to elucidate the relationship between the probability of private fuel expenditure and expenditure levels and household characteristics to determine the factors contributing to household-based CO2 emissions. Remarkably, nearly two-thirds of the 38 factors examined contributed to the emitters, and almost all emitters were identified as statistically significant. This alarming situation underscores the importance of formulating family based green transformation policies. If successful, these policies can ignite transformative momentum. Consequently, understanding household transportation expenditure from a bottom-up perspective can provide invaluable insights into crafting a comprehensive set of top-line policy recommendations for innovation and marketing strategies in the transport and energy sectors. Measures such as incentivizing the adoption of electric vehicles through economic incentives, expanding public transportation networks, and implementing sustainable housing policies have immense potential to effectively reduce private fuel expenditure. When implemented holistically, these strategies can pave the way for a more sustainable and environmentally friendly future.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Coruh, Emine | |
| dc.contributor.author | Bilgic, Abdulbaki | |
| dc.contributor.author | Cengiz, Vedat | |
| dc.contributor.author | Urak, Faruk | |
| dc.date.accessioned | 2026-10-22T10:22:08.137733121Z | |
| dc.date.available | 2026-10-22T10:22:08.137733121Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Amid escalating global concerns surrounding climate change, the transportation sector has garnered the attention of stakeholders. Double-hurdle censored models were employed in this study to elucidate the relationship between the probability of private fuel expenditure and expenditure levels and household characteristics to determine the factors contributing to household-based CO2 emissions. Remarkably, nearly two-thirds of the 38 factors examined contributed to the emitters, and almost all emitters were identified as statistically significant. This alarming situation underscores the importance of formulating family based green transformation policies. If successful, these policies can ignite transformative momentum. Consequently, understanding household transportation expenditure from a bottom-up perspective can provide invaluable insights into crafting a comprehensive set of top-line policy recommendations for innovation and marketing strategies in the transport and energy sectors. Measures such as incentivizing the adoption of electric vehicles through economic incentives, expanding public transportation networks, and implementing sustainable housing policies have immense potential to effectively reduce private fuel expenditure. When implemented holistically, these strategies can pave the way for a more sustainable and environmentally friendly future. | |
| dc.identifier.articlenumber | 143197 | |
| dc.identifier.doi | 10.1016/j.jclepro.2024.143197 | |
| dc.identifier.eissn | 1879-1786 | |
| dc.identifier.issn | 0959-6526 | |
| dc.identifier.scopus | 2-s2.0-85199172055 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/gumushane/14035 | |
| dc.identifier.volume | 469 | |
| dc.identifier.wos | WOS:001278857600001 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Ltd | |
| dc.relation.ispartof | Journal of Cleaner Production | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Censored regression | |
| dc.subject | Double-hurdle | |
| dc.subject | Households | |
| dc.subject | Private fuel spending | |
| dc.subject | Türkiye | |
| dc.subject.classification | Green & Sustainable Science & Technology | |
| dc.subject.classification | Engineering, Environmental | |
| dc.subject.classification | Environmental Sciences | |
| dc.subject.classification | Science & Technology - Other Topics | |
| dc.subject.classification | Engineering | |
| dc.subject.classification | Environmental Sciences & Ecology | |
| dc.subject.other | Carbon dioxide | |
| dc.subject.other | Housing | |
| dc.subject.other | Marketing | |
| dc.subject.other | Public policy | |
| dc.subject.other | Bottom up | |
| dc.subject.other | Censored regression | |
| dc.subject.other | CO 2 emission | |
| dc.subject.other | Double-hurdle | |
| dc.subject.other | Household | |
| dc.subject.other | Innovation strategy | |
| dc.subject.other | Policy recommendations | |
| dc.subject.other | Private fuel spending | |
| dc.subject.other | Transportation sector | |
| dc.subject.other | Turkiye | |
| dc.subject.other | Climate change | |
| dc.title | Uncovering the determinants of bottom-up CO2 emissions among households in Türkiye: Analysis and policy recommendations | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.openalex | 11 | |
| rdl.citation.scopus | 9 | |
| rdl.citation.wos | 8 | |
| rdl.oa.status | green | |
| rdl.oa.status | preprint | |
| rdl.oa.url | https://acikkaynak.bilecik.edu.tr/bitstreams/a736c4e1-8760-47d1-8530-cd881355a497/download | |
| rdl.sdg | SDG13 | |
| rdl.sdg | SDG11 | |
| rdl.sdg | SDG09 | |
| rdl.sdg | SDG01 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |




