(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.
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.
Cooperative societies have increasingly been acknowledged as a perilous institution for driving socio-economic development, especially in emerging nations like Nigeria. Cooperatives being owned and managed democratically by their members, aim to solve economic inequalities, promote independence, and foster community support. Cooperative societies, known for their potential to address these issues, are faced with numerous challenges including; inadequate funding in sustaining development in their business activities.
The rising demand for sustainable agriculture is driving a global shift toward eco-friendly vegetable production methods that prioritise human health and environmental protection Vegetables. However, the level of uptake of eco-friendly practices and their drivers are poorly understood, which prompts the current study. A semi-structured questionnaire was used to collect data from 300 randomly selected vegetable farmers in Enugu State. Descriptive statistics and multinomial logistic regression were used for data analysis.
The study assessed the technological capability of rice processors in Enugu State, Nigeria. Multi-stage sampling procedure was used in selecting 120 respondents across two town communities in two local governments of agricultural zones. Frequencies and percentages were used to analyze the data collected. Findings showed that 88.3% of parboilers were aware of maintaining hygienic conditions and 58.3% practice. While 100.0% knew that they should wash/dewater paddy till wash water is colourless, only 33.3% practised.
Long-term surface coal mining near agricultural zones can degrade arable land and reduce soil productivity. This study evaluated the effects of extended coal mining on sandy soil properties in three mining areas of Ankpa LGA, Kogi State, Nigeria—Okaba-Odagbo (55 years), Okobo-Enjema (12 years), and Onupi (9 years). Soil samples were collected from both mining sites and adjacent fallow (arable) lands and analyzed using standard methods. Statistical comparisons were made using t-tests and Pearson correlation.
