Background:The adoption of climate-smart agricultural(CSA)practices is expected to improve farmers’adaptation to climate change and also increase yields while simultaneously curbing greenhouse gas(GHG)emissions.This ...Background:The adoption of climate-smart agricultural(CSA)practices is expected to improve farmers’adaptation to climate change and also increase yields while simultaneously curbing greenhouse gas(GHG)emissions.This paper explores the determinants of smallholder farmers’participation in GHG-emitting activities.It also estimates the impact of CSA activities on reducing GHG emissions.Methods:The findings are based on survey data obtained from 350 smallholder farmers in the East Gonja district of Northern Ghana.We adopted the generalized Poisson regression model in identifying factors influencing farmers’participation in the GHG emission practices and inverse-probability-weighted regression adjustment(IPWRA)to estimate the impact of CSA adoption on GHG emissions.Results:Most farming households engaged in at least one emission activity.The findings of the generalized Poisson model found that wealthier households,higher education,and households with access to extension services were less likely to participate in GHG emission activities.There was also evidence that CSA adoption significantly reduces GHG emissions.Conclusion:Advocacy in CSA adoption could be a necessary condition for environmental protection through the reduction of GHG emissions.展开更多
文摘Background:The adoption of climate-smart agricultural(CSA)practices is expected to improve farmers’adaptation to climate change and also increase yields while simultaneously curbing greenhouse gas(GHG)emissions.This paper explores the determinants of smallholder farmers’participation in GHG-emitting activities.It also estimates the impact of CSA activities on reducing GHG emissions.Methods:The findings are based on survey data obtained from 350 smallholder farmers in the East Gonja district of Northern Ghana.We adopted the generalized Poisson regression model in identifying factors influencing farmers’participation in the GHG emission practices and inverse-probability-weighted regression adjustment(IPWRA)to estimate the impact of CSA adoption on GHG emissions.Results:Most farming households engaged in at least one emission activity.The findings of the generalized Poisson model found that wealthier households,higher education,and households with access to extension services were less likely to participate in GHG emission activities.There was also evidence that CSA adoption significantly reduces GHG emissions.Conclusion:Advocacy in CSA adoption could be a necessary condition for environmental protection through the reduction of GHG emissions.
