Labor saving innovations are essential to increase agricultural productivity, but they might also increase inequality through displacing labor. Empirical evidence on such labor displacements is limited. This study uses representative data at local and national scales to analyze labor market effects of the expansion of oil palm among smallholder farmers in Indonesia. Oil palm is labor-saving in the sense that it requires much less labor per unit of land than alternative crops.
While several studies have shown that genetically modified Bt cotton can benefit smallholder farmers economically, the sustainability of these effects is still unclear and debated controversially between biotechnology proponents and critics. We use unique panel data of 533 cotton farmers, collected in India between 2002 and 2008, to analyze Bt impacts on cotton yield, profit, and household living standards. Results from fixed effects models show that the adoption of Bt cotton is associated with a net yield gain of 24% and a profit increase of 50%.
Smallholder farmers in developing countries often suffer from high risk and limited market access. Contract farming may improve the situation under certain conditions. Several studies analyzed effects of contracts on smallholder productivity and income with mixed results. Most existing studies focused on one particular contract scheme. Contract characteristics rarely differ within one scheme, so little is known about how different contract characteristics may influence the benefits for smallholders.
Rising demand for agricultural commodities coupled with population growth, climate change, declining soil fertility, environmental degradation and rural poverty in the developing world call for strategies to sustainably intensify agricultural production. Sustainable intensification refers to increasing production from the same area of land while reducing its negative environmental consequences.
Although innovation is understood to encompass much more than R&D, science continues to be an essential ingredient. In particular translation, adaptation and ‘valorisation’ of research results, the responsiveness of research to users’ needs and improved access to results are all regarded as important in achieving a more sustainable European agriculture. These challenges can be addressed in a number of ways including increased collaboration, networking, transdisciplinary research and co-operation between researchers and practitioners.
Dairy farmers in the northern regions of New Zealand expressed widespread dissatisfaction with the performance and persistence of their pastures following drought conditions in 2007/08. Farmers were becoming disillusioned with the practice of renewing pasture as a means to introduce modern perennial ryegrass cultivars in their paddocks. This paper describes the formation and operation of an innovation network, consisting of private and public sector actors, that was formed in 2010 to improve the quality and consistency of advice provided to farmers.
This paper shows there is a fundamental significance of Social Learning to agricultural innovation, which can be operationalized by framing agricultural innovation as changes in understanding, practices and relationships. The use of Social Learning as a design framework supports the emergence of agricultural innovations that bring equitable benefits, are sustainable and are innovated in context.
This paper is aimed at raising the discussion on frameworks and practices to analyse and support of innovation processes of operational groups in rural development policy. The analysis highlights an increasing interest of the current evaluation and research practices on interactive innovation processes, collaborative learning and capacity development both at individual, collective and systems levels. Particularly, transformative-oriented frameworks have been developed in view of supporting capacity development in innovation systems
In this paper its argued that when flexibly applied and adapted to capture dynamics typical in systems innovation projects, the Log Frame Approach (LFA) ( and logical frameworks have considerable utility to support evaluation for both learning and accountability, and for identifying and addressing institutional logics, which leads to system innovation.
The farmer-inventors mostly use tacit knowledge and practical skills to create their inventions with the objective of increasing efficiency as a means to improving family farm viability. Farmer-inventors with entrepreneurial intentions were less inclined to share their ideas freely and described financial and temporal constraints in commercialising their inventions. The Agricultural Knowledge and Innovation System (AKIS) concept was used to frame an analysis of farmer-inventors’ interactions with innovation support organisations from the perspective of the farmers themselves.