Enabling the Business of Agriculture 2019 presents indicators that measure the laws, regulations and bureaucratic processes that affect farmers in 101 countries. The study covers eight thematic areas: supplying seed, registering fertilizer, securing water, registering machinery, sustaining livestock, protecting plant health, trading food and accessing finance. The report highlights global best performers and countries that made the most significant regulatory improvements in support of farmers
The agriculture systems in Bangladesh face a growing number of climate-related vulnerabilities. Climate has become increasingly variable over the past few decades, with droughts, seasonal and flash flooding, and extreme temperatures occurring more frequently and the sea level rising. Going forward, it will be critical to have an understanding of how best to address the trade-offs and synergies between achieving agricultural and economic goals on one hand and preparing for emerging climate challenges on the other. The use of evidenced-based decision making is a key part of this process.
Lesotho's agricultural system faces a growing number of climate-related vulnerabilities with droughts, floods, pests, and extreme temperatures occurring more frequently. In response, the Government of Lesotho is collaborating with the World Bank to integrate climate change into the country’s agriculture policy agenda through the Lesotho Climate-Smart Agriculture Investment Plan (CSAIP).
After years of neglect, there is a renewed interest in agricultural mechanization in Africa. Since government initiatives to promote mechanization are confronted with major governance challenges, private-sector initiatives may offer a promising alternative. However, given limited scientific studies on such private-sector options such approaches are often viewed skeptically. One concern is that multi-national agribusiness companies take advantage of smallholder farmers. Another concern is that mechanization causes rural unemployment.
While livestock constitute a strategic sector to reduce poverty and enhance growth in developing countries, decision makers often lack data reflecting the diversity of livestock functions and systems. The authors therefore mobilised the Livestock Sector Investment Policy Toolkit to assess the economic contributions of livestock in Zambia. Valuing their plural contributions by system, we found that mixed rainfed systems were the main contributors to added value, even if specialised intensive systems provided around 45% of meat and milk production.
Ce document de directives pratiques a été préparé dans le cadre du projet Développement des capacités pour les systèmes d'innovation agricole (CDAIS), un partenariat mondial (Agrinatura, FAO et huit pays pilotes) qui vise à renforcer la capacité des pays et des principales parties prenantes à innover dans des systèmes agricoles complexes, ce qui permet l'amélioration des moyens de subsistance en milieu rural. Le CDAIS utilise une approche de cycle d'apprentissage continu pour soutenir les systèmes nationaux d'innovation agricole dans huit pays d'Afrique, d'Asie et d'Amérique centrale.
The term ‘systemic innovation’ is increasing in use. However, there is no consensus on its meaning: four different ways of using the term can be identified in the literature. Most people simply define it as a type of innovation where value can only be derived when the innovation is synergistically integrated with other complementary innovations, going beyond the boundaries of a single organization. Therefore, the term ‘systemic’ refers to the existence of a co-ordinated innovation system.
Innovation intermediaries are individuals and organisations that enhance connectivity amongst constituencies of national, sectoral, and regional systems of innovation, thereby facilitating knowledge spillover. This paper articulates the whole picture of Indonesia's agricultural innovation system, with a special focus on how different innovation intermediaries play different roles in technology transfer and knowledge dissemination.
Synergy among the various components of national agricultural innovation systems (AISs) promotes agricultural development. This paper investigated the innovation synergy among the various innovation elements of national AISs. First, the authors developed a synergy analysis model consisting of three innovation variables (innovation allocation, innovation output, and innovation potentiality) and one control variable (government policy supports).
Transforming a centrally planned system of agricultural production to one where individual farmers are accorded choice in crop mix and land use management practices is much more than a structural change. Embedded within this process is a fundamental shift in how knowledge is generated, disseminated and adopted. Upon dissolution of the Soviet Union, one immediate priority was the privatization of state farms and thereby relaxation of policies for collective production.