The rural space is home to 53 percent of Nigeria's population and more than 70 percent of its poor. While it is well understood in Nigeria that financial exclusion of the rural population stunts development, still fewer than 2 percent of rural households have access to any sort of institutional finance.
This case study describes the history and business model of the Rural and Community Bank (RCB) network in Ghana, analyzes its performance, identifies key issues, and makes recommendations on the way forward. The study analyzes the service delivery and financial performance of the RCBs. Before the establishment of RCBs in the late 1970s and the subsequent expansion of other service providers into rural areas, access to institutional credit for farm and nonfarm activities was scarce. The main sources of credit were moneylenders and traders that charged very high interest rates.
Climate change is a huge challenge for the agriculture and rural development (ARD) sector in Romania. On the one hand, agriculture is a source of greenhouse gas (GHG) emissions and must therefore be expected to contribute towards the climate change mitigation goals of the Europe 2020 strategy.
Individuals from a diverse range of backgrounds are increasingly engaging in research and development in the field of artificial intelligence (AI). The main activities, although still nascent, are coalescing around three core activities: innovation, policy, and capacity building. Within agriculture, which is the focus of this paper, AI is working with converging technologies, particularly data optimization, to add value along the entire agricultural value chain, including procurement, farm automation, and market access.
Interest in farmland is rising. And, given commodity price volatility, growing human and environmental pressures, and worries about food security, this interest will increase, especially in the developing world. One of the highest development priorities in the world must be to improve smallholder agricultural productivity, especially in Africa. Smallholder productivity is essential for reducing poverty and hunger, and more and better investment in agricultural technology, infrastructure, and market access for poor farmers is urgently needed.
This review's objectives were to examine the structure and performance of the agricultural research and extension systems (public and private) at the central and provincial levels, identify successes as well as constraints to improving the system s effectiveness for fostering innovation, and propose options for further policy and institutional development, drawing on lessons from international experience. The review focused principally on nonplantation crops, although its main recommendations apply across the agricultural sector.
The sector review includes seven chapters and one annex. This first chapter is an overview of agriculture, irrigation and the purpose and content of this report. The second chapter provides a review of the Bank s own strategy and priorities for irrigation and drainage within its portfolio of investments, from the time of its 2004 Strategy until the present. It also includes a short summary of key lessons learned in this sector.
This review paper is based on secondary information. It presents the external (policy, technical assistance, public institutions and the private sector) and internal (institutional structures, objectives/programmes) factors that impact on agriculture development in general in developing countries with special focus on Pakistan. The contents carry the literatures that deal with such factors, starting with discussion on the comprehensive analysis of the role of extension services accompanied by its pros and cons, as well as the meager agricultural services in developing countries.
Agricultural Internet of Things (IoT) has brought new changes to agricultural production. It not only increases agricultural output but can also effectively improve the quality of agricultural products, reduce labor costs, increase farmers' income, and truly realize agricultural modernization and intelligence. This paper systematically summarizes the research status of agricultural IoT. Firstly, the current situation of agricultural IoT is illustrated and its system architecture is summarized. Then, the five key technologies of agricultural IoT are discussed in detail.
How much do poor rural households rely on environmental extraction from natural ecosystems? And how does climate variability impact their livelihoods? This paper sheds light on these two questions with household income data from the Poverty and Environment Network pantropical data set, combined with climate data for the