This paper comparatively analyzes the structure of agricultural policy development networks that connect organizations working on agricultural development, climate change and food security in fourteen smallholder farming communities across East Africa, West Africa and South Asia.
This work has largely focused on the developed world, yet the majority of people and future economic growth lies in the developing world. Further, most research examines micro data on consumers or firms, limiting what is known regarding the role of macro factors on diffusion, such as social systems. Addressing these limitations, this research provides the first high-level insights into how green building adoption is occurring in developing countries.
This chapter demonstrates an experience of implementing an alternative approach, known as participatory communication with strong cultured-centered perspectives. A series of interactive extension or facilitation activities is described. The activities were aimed to conserve rare rice varieties and the unique farming practices in an indigenous community’s areas in the eastern region of Java Island.
This study developed a model called the Indonesian Palm Oil Simulation (IPOS). This aims to understand the value chain of the palm oil industry. It provides options for policymakers and decision-makers about possible futures for the Indonesian palm oil industry at the national level.
Food security is predicted toface considerable challenges in the upcoming period. This couldbe more profound in developing countries due to rapid societal change and ecological pressure in theseregions. Concerted efforts to deal with these challenges areof great importance, including accelerating th euse of improved agricultural input technology (IAIT) such as high yield varieties of seeds and improved fertilizer formulas. This type of innovation is more suitable to being introduced amongst developing countries farmers in order to increase their productivity.
Economic development and the successful transformation ofagriculture have been at the core of impressive change in countriessuch as China, India, Indonesia, Brazil, Mexico, and Argentina. This transformation has relied on substantial and effective investment inagriculture, and, in particular, building capacity in all aspects of agricultural change – from technology development and transfer through infrastructural development and the processing of agricultural commodities into consumer products.
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.
Participation is connected to technology through the notion of innovation systems. To make the connection work, it is argued, the focus has to shift from a framing of participation in terms of democratic entitlement to a framing in terms of the settlement of issues (i.e. politics from below), The innovation system is an appropriate notion to see where issues are likely to lock on to processes of technological change.
Specific material handling and treatment for speciic agriculture products is required. Enhancing the productivity, competitiveness and eficiency of agriculture value chain is a priority for Indonesia to achieve competitiveness. This chapter discusses the overview of agriculture value chain in Indonesia and provides case studies related to supply chain risk management and logistics cost. Then, the author may propose recommendations to optimize the agricultural value chain.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.