June 23 - 24, 2022, 2-day virtual meeting + Uganda as part of the 2022 EfD Annual Meeting(1 day between September 22-26, 2022) Hosted by NENRE-EfD Chile at the University of Concepción and Duke…
Submit your work here: https://bit.ly/3x8uh34 The Seventh Annual Meeting of the EfD Chile center "Research Nucleus on Environmental and Natural Resource Economics (NENRE)", will take place on October…
(i) Structural transformation by which shares of agriculture in income and employment decline is the outcome of a development process that raises incomes and living standards.
(ii) However, the process is uneven as a result of which the decline in agriculture’s income share is faster than its decline in employment share. This results in a substantial disparity in worker productivity across sectors.
The 11th Annual Meeting of NENRE EfD-Chile brought together researchers, postgraduate students, and policymakers to analyze and discuss the main challenges and advances in applying economics to…
This study explores the value chain of selected indigenous crops in Tanzania, assessing their potential to address micronutrient deficiencies and contribute to food security. The research examines production patterns, processing techniques, and market dynamics, identifying key challenges and opportunities within the value chain. Crops such as amaranth, sorghum, millet, and baobab are cultivated using traditional methods, integrating local knowledge and organic inputs.
Tanzania aims to accelerating its transition toward climate-smart, inclusive, and sustainable agriculture. National experts, policymakers, and researchers convened to strengthen policy reforms under…
Uganda’s push toward Climate Smart Agriculture (CSA) took center stage at a high-level annual workshop in Kampala, where researchers, policymakers, and private sector actors convened to craft…
Makerere University hosted a high-level roundtable bringing together researchers from the EfD Uganda, representatives from the GRO Foundation, and the Bank of Uganda to explore alternative financing…
This research aims to investigate the potential of artificial intelligence (AI) applications in addressing the energy consumption and CO2 emissions challenges faced by countries in Sub-Saharan Africa (SSA) and their implications for economic growth. It employed a theoretical approach towards examining how AI mitigates CO2 emissions and optimizes energy use in SSA countries. It identified opportunities for AI integration to enhance energy efficiency, while reducing carbon footprints, and promoting sustainable economic development.