22 pages, While climate change threatens global food security, health, and nutrition outcomes, Africa is more vulnerable because its economies largely depend on rain-fed agriculture. Thus, there is need for agricultural producers in Africa to employ robust adaptive measures that withstand the risks of climate change. However, the success of adaptation measures to climate change primarily depends on the communities’ knowledge or awareness of climate change and its risks. Nonetheless, existing empirical research is still limited to illuminate farmers’ awareness of the climate change problem. This study employs a Bayesian hierarchical logistic model, estimated using Hamiltonian Monte Carlo (HMC) methods, to empirically determine drivers of smallholder farmers’ awareness of climate change and its risks to agriculture in Zambia. The results suggest that on average, 77% of farmers in Zambia are aware of climate change and its risks to agriculture. We find socio-demographics, climate change information sources, climate change adaptive factors, and climate change impact-related shocks as predictors of the expression of climate change awareness. We suggest that farmers should be given all the necessary information about climate change and its risks to agriculture. Most importantly, the drivers identified can assist policymakers to provide the effective extension and advisory services that would enhance the understanding of climate change among farmers in synergy with appropriate farm-level climate-smart agricultural practices.
18 pages, The degree of risk to which agricultural farmers are exposed during the COVID-19 pandemic and how they tackle those difficulties is a critical topic. Although the topic has been paid considerable attention by worldwide scholars, this study intends to compensate for it via conducting a ground-breaking analysis based on sample survey data. Integrating theoretical perspectives of individual- and collective-level social capitals rooted in sociology, and using NPRM (Nested Poisson Regression Model) to analyze a sample survey data collected in rural China in August 2020, we generated the following findings. (1) The overall risks and damages to agricultural production and management are relatively minimal. Thus, farmers are highly confident in conquering the pandemic and recovering their business. (2) Compared with micro- and macro-level influencing factors, social capital at both levels could greatly help agricultural farmers obtain informal and formal supporting resources (such as encouragement and financial supports), thus helping them to cope with the pandemic shock. (3) Specifically, the acquisition of informal supporting resources is mainly affected by the size of farmers’ ordinary networks (Spring Festival Visiting Network) and the frequency of public activities held in a village; gaining access to formal supporting resources is also influenced by the frequency of public activities, but the state of farmers’ personal connections with official departments plays a crucial role in determining the amount of such resources can be obtained. According to these empirical findings, suggestions on how to suppress the negative effects and lift the positive effects of dual social capitals in the process of responding to risks are proposed.
