2001
DOI: 10.1111/1467-9353.00068
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Adoption and Diffusion of Natural-Resource-Conserving Agricultural Technology

Abstract: A national sample of U.S. farms is used to estimate the long-term trends in adoption and diffusion of conservation tillage, IPM, and soil fertilizer testing, technologies designed to reduce environmental externalities from agriculture. Results from a duration model show that diffusion of these technologies has been relatively slow, with long lags in adoption due to differences in land quality, farm size, farmer education, and regional factors.

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Cited by 174 publications
(120 citation statements)
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“…Within economics, unemployment duration and the duration of strikes have often been examined via duration models, such as Kennan's (1985) and Jaggia's (1991) analyses of strike duration in the US manufacturing sector. Most relevant to this study, though, is the analysis of technology adoption, such as that by Dadi et al (2004), Fuglie and Kascak (2001) and Burton et al (2003), and the adoption of privatization policy analysed by Lee (2003). As argued by Burton et al (2003) duration analysis has strengths compared with the conventional bivariate approaches.…”
Section: Duration Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Within economics, unemployment duration and the duration of strikes have often been examined via duration models, such as Kennan's (1985) and Jaggia's (1991) analyses of strike duration in the US manufacturing sector. Most relevant to this study, though, is the analysis of technology adoption, such as that by Dadi et al (2004), Fuglie and Kascak (2001) and Burton et al (2003), and the adoption of privatization policy analysed by Lee (2003). As argued by Burton et al (2003) duration analysis has strengths compared with the conventional bivariate approaches.…”
Section: Duration Analysismentioning
confidence: 99%
“…In the literature on technology adoption, income is one of the consistently significant determinants of adoption (see, for example, Burton et al, 2003;Fuglie and Kascak, 2001). …”
Section: 2data and Descriptive Statisticsmentioning
confidence: 99%
“…Firms with high amounts of human capital are able to take advantage of their employees' capabilities and adopt earlier [3,4,13]. Individuals who are better educated can adopt earlier because they face a lower software cost, and due to their greater wealth are better able to afford the hardware costs [14]. Software costs can be reduced through personal experience and communication with existing users, so complicated technologies tend to spread from more skilled users to less skilled users as the stock of knowledge related to the technology increases [8].…”
Section: Elements Of the Adoption/diffusion Processmentioning
confidence: 99%
“…Atwell et al (2009) emphasize that in all land resilience theory, ecological and social systems are inextricably linked. Hence, although very few studies examine the spatial complexities of CA adoption (for an exception, see Fuglie & Kascak, 2001), it seems likely that (socio)spatial patterns reflecting the diffusion of knowledge (information) on CA can strongly influence its adoption.…”
Section: Introductionmentioning
confidence: 99%