Technology adoption on small farms

Integrated soil fertility management: from concept to practice in Eastern DR Congo

“…Both in the broader agronomic literature and in the specific context of the project, important yield interactions are detected between different ISFM technologies. Mineral fertilizer and improved varieties are often seen as complementary inputs (Rauniyar & Goode, 1992). In South-Kivu, the introduced maize varieties yield more than the local varieties without the use of mineral fertilizer, but in addition, they have a higher response to fertilizer application ( Vanlauwe et al, 2012).…”

“…Byerlee and de Polanco (1986) describe the adoption of three agricultural technologies and show that farmers follow a stepwise approach to adopt a package, even though the components are strongly complementary, and that the followed steps rationally reflect the characteristics of each component and the interactions. Rauniyar and Goode (1992) investigate the interrelationships between seven different technologies using factor analysis, and observe an adoption pattern consisting of three distinct packages of technologies.…”

“…Sequential adoption takes place when the probability of application is conditioned on the adoption of another technology that precedes it. Finally, simultaneous adoption occurs when the probability of applying one technology is conditional on the adoption of another technology (Rauniyar & Goode, 1992).…”

“…Whether such a paradigm survives in practice depends on how farmers combine (or substitute) these technologies on their fields. Based on the work by Rauniyar and Goode (1992), we classify interrelationships in the application of different technologies by farmers in three main categories: independent, sequential or simultaneous. Technologies are independent if the probability of application of one technology is not conditioned by the adoption of another technology.…”

Farmer participation in reforestation incentive programs in Costa Rica

“…Factors related to the farm household, farming system, and information diffusion are hypothesized to influence the decision to participate in the reforestation incentive program. The literature on the adoption of technology, agroforestry, and commercial reforestation practices collectively identify a variety of specific determinants: land tenure, farm size, farm income, household labor usage, farmer age, farmer experience and education, household size, and access to information and agricultural extension (Feder et al, 1982;Polson and Spencer, 1991;Rauniyar and Goode, 1992;Caveness and Kurtz, 1993). Table 1 summarizes the variables hypothesized here to influence farmer participation in the reforestation incentive programs.…”