In a modern economy, good governance is considered a prominent factor for economic growth (Liu, Tang, Zhou, & Liang, 2018). However, Sub-Saharan Africa has a poor track record of good governance and economic growth (Fayissa & Nsiah, 2013). Therefore, this study is aimed to investigate the impact of governance on economic growth in Sub-Saharan Africa. Panel data that covers a period from 2005 to 2019 for 34 countries and the principal component analysis (PCA) method are employed to achieve the stated objective of the study. The selected fixed- and random-effect estimations showed that among the six-governance quality indicators control of corruption, government effectiveness, regulatory quality, and rule of law positively affect real GDP per capita (economic growth) while political stability and absence of violence and voice and accountability are statistically insignificant to affect real GDP per capita. The estimations result of composite governance indicators confirmed that except for the political dimension of governance both the economic and institutional dimensions of governance, as well as overall composite governance indexes, positively affect the economic growth of the region. Besides, foreign direct investment, the government fixed capital formation and gross domestic product growth affect real GDP per capita positively in all models while government consumption expenditure and age dependency ratio negatively affect real GDP per capita. Therefore, in addition to the existing support in the improvement of the political activities in Sub-Saharan Africa, concerned bodies should also focus to enhance the economic and institutional dimensions of governance in the region

We estimate the effect of multiple climate change adaptation strategies (CCAS) on farm household welfare using a new three‐wave panel data derived from the World Bank's geo‐referenced household socioeconomic survey and the National Aeronautics and Space Administration's (NASA) historical weather data. Using the multinomial panel endogenous switching regression model, we discovered that combining climate change adaptation strategies such as crop rotation and improved seed varieties is the most effective way to improve the welfare of smallholder farmers. The average treatment effect (ATT) results show that all CCAS have a positive and significant effect on the pattern of welfare improvement among smallholder farmers, but combinations of CCAS provide the highest payoffs. As a result, the combination of crop rotation and improved seed is the most appealing CCAS package that farmers could adopt as an ex‐ante strategy to improve farm household welfare. We also discovered that climate change and technology adoption are the most important factors influencing the welfare of rural farm households. Furthermore, we discover that the effectiveness of climate change adaptation strategies varies by farm households. Thus, we argued that targeted extension and advisory services, as well as other policies that support the synchronization of adaptation strategies, are critical for improving the welfare of rural farm households.