Determinants of local communities’ intentions to adopt carbon trading: evidence from Tanzania

Carbon trading is an emerging economic activity and research area significantly underserved in African countries, particularly Sub-Saharan Africa (SSA). As such, studies examining carbon trading adoption are highly in droughts. Guided by the theory of planned behavior, this study examines the determinants of local communities’ intentions to adopt carbon trading in Tanzania. A cross-sectional survey design was used to collect data from 217 local communities in Tanganyika District Council, Tanzania. Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to test the hypotheses. The results revealed that attitude, subjective norms, perceived cost, perceived benefit, and knowledge positively and significantly influenced local communities’ intentions to adopt carbon trading. Perceived behavioral control and social enterprise embeddedness indicated a positive but insignificant connection with local communities’ preferences for adopting carbon trading, while perceived Local Government Authorities (LGA) support revealed a negligible negative association. Therefore, these results are valuable for promotion of countrywide local communities’ adoption, recognition, and implementation of carbon trading.

Authors

Institutions

Publication Details

Journal
Cogent Business & Management
Published
2024-09-02
DOI
https://doi.org/10.1080/23311975.2024.2398192
Citations
3
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
0.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of local communities’ intentions to adopt carbon trading: evidence from Tanzania

Neema Kileo, Charles K. Matekele, Asumpta M. Muna
3 citations
Cogent Business & Management
Energy and Environment Impacts
0.40
article

Determinants of local communities’ intentions to adopt carbon trading: evidence from Tanzania

Neema Kileo, Charles K. Matekele, Asumpta M. Muna
article en
3 citations

Abstract

Carbon trading is an emerging economic activity and research area significantly underserved in African countries, particularly Sub-Saharan Africa (SSA). As such, studies examining carbon trading adoption are highly in droughts. Guided by the theory of planned behavior, this study examines the determinants of local communities’ intentions to adopt carbon trading in Tanzania. A cross-sectional survey design was used to collect data from 217 local communities in Tanganyika District Council, Tanzania. Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to test the hypotheses. The results revealed that attitude, subjective norms, perceived cost, perceived benefit, and knowledge positively and significantly influenced local communities’ intentions to adopt carbon trading. Perceived behavioral control and social enterprise embeddedness indicated a positive but insignificant connection with local communities’ preferences for adopting carbon trading, while perceived Local Government Authorities (LGA) support revealed a negligible negative association. Therefore, these results are valuable for promotion of countrywide local communities’ adoption, recognition, and implementation of carbon trading.

Cogent Business & ManagementVol. 11(1)
Ministry of Education and Vocation Training (TZ), Local Government Training Institute (TZ)
Openalex Percentile: Top 48%
Energy and Environment Impacts
0.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Determinants of local communities’ intentions to adopt carbon trading: evidence from Tanzania — Neema Kileo, Charles K. Matekele, et al. · Cogent Business & Management (2024) | TGRS Research Map | TGRS