The purpose of the article is to study the scientific and applied principles of the development of commercialization of innovations in the agro-industrial sector in Ukraine as a direction of support of its leadership positions in the world market of agro-industrial products. As a result of theoretical generalization and comparison of the views of leading scientists, the author‘s approach to the determination of the essence of commercialization of innovations has been substantiated.
This article analyses spatial innovation dispersion and also level of innovation development across the crop sector. For this, five crude indicators viz. Mechanisation indicator, Vulnerability indicator, Concentration indicator, Stability indicator and Adoption indicator were constructed which determined the direction of innovation. Agricultural Innovation System encompasses both the facets of technology development and technology dissemination. However, much concentration and efforts were exerted on innovation and technology development part while the other part i.e.
This paper analyzes the status of Pakistan’s agriculture in the world and quantifies the potential of improving productivity and quality of value chain at its different nodes. A great potential of expansion in the value chain of large number of agricultural commodities produced in Pakistan are observed. Just bringing the average crop yield levels at par to the world average yield can generate over US$11 billion additional revenues to the producers. Despite lower yield, majority of commodities have lower prices compared to the world average prices at the farmgate.
This paper analyzes the integration of coffee producers into potential sustainability-oriented market segments. The analysis is presented through the lens of value chains by mapping the different coffee chains present in a predominantly coffee growing region, Kodagu, district, India as well as the governance structures that influence interactions and strategies for upgrading
This analysis evaluates a real world complex intervention to study the impacts of an agricultural value chain development program on livelihood outcomes, in hill and mountainous regions of Nepal. The intervention was not designed for the study and no baseline data existed to compare the final outcomes. Data came from a carefully designed household survey administered to 3,028 households (50% beneficiaries and other 50% non-beneficiaries) across seven districts in Western Nepal.
This paper presents some experiences with e-learning tools in middle and low income countries, outlines opportunities for enhanced adoption of e-learning and identifies some gaps and questions that still need to be addressed to facilitate e-learning
In this paper is proposed to conduct a first stage AKIS diagnostic exercise developing a map of the system of the actors involved in water quality protection and catchment management that interact with the farming community. Specifically we will use the tool to understand: (a) Who are the players? (b) What roles do they have? (c) what is their position in the Innovation System. A key part in changing the regulatory or public incentive system is to change the behaviour not only of the farmers but also of the policy makers to facilitate the movement to a more localised approach.
This study explores the properties of innovation systems and their contribution to increased eco-efficiency in agriculture. Using aggregate data and econometric methods, the eco-efficiency of 79 countries was computed and a range of factors relating to research, extension, business and policy was examined. Despite data limitations, the analysis produced significant results.
The study focuses on how levels of innovation, measured by complexity and investments requirements of the adopted technologies, relates to innovative behavior and complying with social responsibility practices, as two indicators of the farmer's behavior towards innovation. A typology of farmers with different technological
levels was constructed based on multivariate techniques, according to the adoption of seven technologies. The main objective of the study was to relate SR and innovative behavior to the technology clusters