At present, agricultural policies in Kenya often ignore specific target groups because there is a lack of contextual information on farmers’ specific socio-economic conditions. The aim of this study was to fill this knowledge gap by answering the following research questions: 1. What determines the adaptive capacity of AIV farmers in Kenya? 2. How does access to capital assets differ by farming household characteristics and between the selected areas? 3. What are the AC levels of AIV farmers in the selected zones of Kenya? 4.
In this study the farmers were first asked to answer two sets of statements related to views on climate change and experiences on changes so far in their own farm or nearby locations.
The EU rural development policy has addressed challenges related to climate change in agriculture by introducing public voluntary schemes, which financially support the adoption of climate-smart agricultural practices. Several factors, most of which are non-financial ones, drive adoption and continuation of these schemes by farmers. Despite the importance of these factors, only a few studies explore their role in the European context. This paper contributes to filling this gap from a twofold perspective.
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.
Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development. Based on evolutionary game theory, this paper establishes a game model among agricultural enterprises, government, and farmers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders.
ecause the climate has been rapidly changing and undermining the sustainability of the agriculture sector, Agricultural Extension and Rural Advisory Services (AERAS) need to rethink their contemporary roles and initiatives. Although enhancing agricultural innovation is considered a key process to increase farm income and ensure sustainability under complex climate-affected development conditions, little is known how AERAS can support the process in the said context. A broad range of literature was reviewed and a deductive coding approach was followed to analyze the literature.
The agricultural Internet of Things (Ag-IoT) paradigm has tremendouspotential in transparent integration of underground soil sensing, farm machinery,and sensor-guided irrigation systems with the complex social network of growers,agronomists, crop consultants, and advisors. The aim of the IoT in agriculturalinnovation and security chapter is to present agricultural IoT research and paradigmto promote sustainable production of safe, healthy, and profitable crop and animalagricultural products.
In this paper is presented a novel approach to elicit stakeholder visions of future desired land use, which was applied with a broad range of experts to develop cross-sectoral visions in Europe. The approach is based on (i) combination of software tools and facilitation techniques to stimulate engagement and creativity; (ii) methodical selection of stakeholders; (iii) use of land attributes to deconstruct the multifaceted sectoral visions into land-use changes that can be clustered into few cross-sectoral visions, and (iv) a rigorous iterative process.
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.
This paper assesses how institutional interactions can strengthen effectiveness, by focusing on three multi-stakeholder partnerships for renewable energy. Based on an expert survey and semi-structured interviews, the study provides both theoretical and empirical contributions to understanding institutional interactions in relation to effectiveness. Moreover, it provides insights on how to strengthen the effectiveness of multi-stakeholder partnerships for renewable energy