The Mesoamerican Agroenvironmental Program (MAP-Norway) is a multi-dimensional rural development program implemented in Central America since 2009, working with smallholder families, producer organizations, governmental organizations, and regional governance platforms. To monitor, assess, and evaluate the effects of the program on its beneficiaries, MAP-Norway uses a series of indicators that allow project managers and donors to adapt and follow-up on the interventions.
In this paper, it is reported the results of a case study of the Community Engagement (CE) strategies employed by the Africa Harvest Biotech Foundation International (AH) to introduce tissue culture banana (TCB) agricultural practices to small-hold farmers in Kenya, and their impact on the uptake of the TCB, and on the nature of the relationship between AH and the relevant community of farmers and other stakeholders.
Smartphone technology is promising for the future development of agriculture, as it can facilitate and improve many operational procedures and can also be combined with precision agriculture technologies. Yet, existing research on smartphone adoption in agriculture is scarce. Therefore, this paper empirically explores the factors influencing smartphone adoption by German farmers. The relationship between farmers, farm characteristics and smartphone adoption was analysed using a binomial logit model.
To augment youth employment, the Government of India has launched a number of skills training programs. This paper deals with participation in and the impact of one of these programs [Deen Dayal Upadhyaya Grameen Kaushal Yojana (DDUGKY)] located in rural Bihar, one of India’s poorest states. The analysis is based on data collected in mid-2016 and compares trained participants with non-participants who applied for the scheme but eventually did not attend
The objective of this article is to increase the understanding of the indicator landscape and to complement the various stages of the innovation process with relevant indicators. In doing so, this study categorizes the identified indicators into company-specific and contextual dimensions. Furthermore, this study analyzes the indicators in terms of their potential for ex-ante and ex-post evaluation and investigates the characteristics of relevant publications. The analysis finds that more process rather than product indicators exist in the literature.
Adoptions of improved technologies and production practices are important drivers of agricultural development in low-income countries like Nepal. Adopting a broad class of such technologies and practices is often critical for meeting the multifaceted goals of efficiency, profitability, environmental sustainability, and climate resilience.
The quest for innovation lies at the heart of European rural development policy and is integral to the Europe 2020 strategy. While social innovation has become a cornerstone of increased competitiveness and the rural situation legitimizes public intervention to encourage innovation, the challenges of its effective evaluation are compounded by the higher ‘failure’ rate implied by many traditional performance measures.
This study systematically explores, analyses, reports on and synthesises research on the topic of sectoral innovation systems related to agriculture and agri-food in OECD countries. It is based on systematic mapping of the literature (academic papers published in scientific journals) in the period 1997-2017. The aim is to show the state of current knowledge on sectoral innovation systems in agri-food, in order to identify knowledge gaps and future areas for research and provide methodological and theoretical perspectives.
Short Food Supply Chains (SFSCs) are central to the alternative food movement discourse. SFSCs are based upon the interrelations among actors who are directly involved in the production, processing, distribution, and consumption of food products. They depend upon actors mobilising resources of various kinds: skills; knowledge; labour; capital; buildings etc. External factors such as policies and regulations can also encourage the creation of these shorter chains. The development of SFSCs can still be hindered by a range of other factors.
The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one.