Uganda experienced annual economic growth of 5.8 percent between 2009 and 2019 (UBOS 2020).
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Senegal experienced annual economic growth of 4.8 percent during the 2009 to 2019 period (World Bank 2023a). With an annual population growth rate of 2.7 percent over the same period, the living standards of Senegalese improved modestly.
Rwanda has made remarkable economic progress during the past two decades, and its annual GDP growth rate reached more than 7 percent during the 2009 to 2019 period (NISR 2021).
Tajikistan experienced strong annual economic growth of 6.8 percent during the 2011 to 2020 period (TAJSTAT 2020).
Burkina Faso experienced strong annual economic growth of 6.0 percent between 2009 and 2019 (NISD 2021).
Nigeria experienced a rise and fall in economic growth over the past two decades. The economy experienced strong growth, averaging 7 percent per year, from 2000 to 2014.
Nepal experienced annual economic growth of 5.0 percent between 2009 and 2019 (World Bank 2023b).
Madagascar’s economy showed little progress during the decade from 2009 to 2019, growing at an average rate of just 2.9 percent per year, which is only marginally higher than the population growth rate of 2.7 percent (World Bank 2023).
Mali experienced modest annual economic growth of 4.4 percent between 2009 and 2019 (INSTAT 2020; World Bank 2023a). With annual population growth of 3.0 percent during that period, the living standards of Malian people improved only modestly.
Kenya experienced significant economic development in the 2009 to 2019 period. Gross domestic product (GDP)—an indicator of the economy’s size—expanded by an annual average of 5 percent (KNBS 2022).
Tanzania experienced strong annual economic growth of 6.2 percent between 2009 and 2019 (NBS 2020).
Ghana experienced rapid economic growth with an annual GDP growth rate of 6.6 percent between 2009 and 2019 (GSS 2023). Restrictive COVID-19 policy measures in 2020 caused a slowdown in growth (Amewu et al.
About the Excessive Food Price Variability Tool
Summing the parts: How does “bundling” affect willingness-to-pay for seeds and insurance in a sample of Kenyan farmers?
Agricultural households, particularly those operating in rainfed systems in low income countries, are vul nerable to a variety of climate and market risks that pose serious threats to their well-being.
Control over future payouts and willingness to pay for insurance: Experimental evidence from Kenyan farmers
Agri-environmental schemes (AESs) are increasingly implemented to promote the adoption of environmentally friendly practices by farmers.
Agricultural and food system transformation helps increase farm productivity and encourages farmers to participate in updated value chains, adopt newer technologies, thereby helping farmers transform their livelihoods in a sustainable manner.