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. 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. 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. Advocacy in CSA adoption could be a necessary condition for environmental protection through the reduction of GHG emissions.

中文翻译：

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评估农民对温室气体排放的贡献以及采用气候智能型农业对减缓的影响

预计采用气候智能农业（CSA）做法将改善农民对气候变化的适应能力，并增加产量，同时减少温室气体（GHG）排放。本文探讨了小农户参与温室气体排放活动的决定因素。它还估计了CSA活动对减少温室气体排放的影响。这些发现是基于从加纳北部的东贡雅地区的350个小农户获得的调查数据得出的。我们采用广义Poisson回归模型来确定影响农民参与温室气体排放实践的因素，并采用概率反加权加权回归调整（IPWRA）来估算采用CSA对温室气体排放的影响。大多数农户至少从事一种排放活动。广义泊松模型的发现发现，较富裕的家庭，高等教育和获得推广服务的家庭不太可能参与温室气体排放活动。还有证据表明，采用CSA可以大大减少温室气体排放。通过减少温室气体排放，倡导采用CSA可能是环境保护的必要条件。