Tryout and (Dis)adoption of conservation agriculture. Evidence from Western Madagascar

Razafimahatratra, Hanitriniaina Mamy; Bignebat, Celine; David-Benz, Hélène; Bélières, Jean-François; Penot, Éric

doi:10.1016/j.landusepol.2020.104929

Cited by 14 publications

(4 citation statements)

References 43 publications

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“…Incentives given to farmers in an effort to popularize a technology motivate them to try it out. It is not always possible for resource poor households to bear costs of switching to or adopting a new practice (Razafimahatratra 2021).…”

Section: Discussionmentioning

confidence: 99%

Why do farmers wait so long before adopting fruit tree-based agroforestry technologies in Malawi? An application of hazard duration analysis

Mazungwi,

Njoloma,

Khataza

et al. 2024

Preprint

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Fruit tree-based agroforestry has been widely promoted but its adoption is generally slow and low. We used a hazard duration analysis to determine factors that influence time until adoption of fruit tree-based agroforestry in Malawi. A Weibull-Gamma model mixture was fitted to account for the unobserved heterogeneity. The results show that households take 4 years, on average, to start adopting fruit tree-based agroforestry. Further, the results show that farmer’s education, club membership, participation in training programmes and provision of material incentives (tree germplasm) are likely to shorten waiting time until the adoption of fruit tree-based agroforestry. The findings imply that there is a need to promote programmes that organise farmers into purpose-driven groups, offer tailor-made agroforestry training and, where possible, provide incentives for quick adoption of fruit tree-based agroforestry.

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Section: Discussionmentioning

confidence: 99%

Why do farmers wait so long before adopting fruit tree-based agroforestry technologies in Malawi? An application of hazard duration analysis

Mazungwi,

Njoloma,

Khataza

et al. 2024

Preprint

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“…Evidence-informed guidance on the strategies to stimulate independent and socially transmitted adoption is emerging (e.g., Jagadish et al, 2021). In contrast, there is little systematic understanding of the drivers of conservation abandonment (Cook et al, 2024), particularly compared to other fields such as sustainable agriculture (e.g., Pedzisa et al, 2015;Razafimahatratra et al, 2021). Future research on this subject could help guide approaches to manage dropout detected when using our modeling framework.…”

Section: Study Considerations Limitations and Future Workmentioning

confidence: 99%

Forecasting adoption trends for adaptive management of conservation scaling

Clark,

Pienkowski,

Jagadish

et al. 2024

Preprint

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Achieving global climate, development, and biodiversity goals will require bringing conservation interventions to scale in suitable contexts and with appropriate timing. Practitioners and policymakers have a range of actions available to influence where, when, and by whom an initiative is adopted. Yet, to make effective management decisions, they must have a clear view of the current trajectory towards scaling goals. The non-linearity and variability of scaling processes has, however, hindered forecasting of adoption trends and environmental outcomes. Here, we adapt models of disease transmission to present a simple and flexible modeling structure for forecasting the adoption of conservation initiatives. We tested this framework on empirical adoption data from 19 distinct initiatives. Specifically, we fit the shape of the adoption timeline during the first half of each initiative, estimating the rates of independent uptake and social transmission up to that point. Forecasting the latter 50% of the timeline of cumulative adoption using just these two parameters resulted in an out-of-sample average error of 15.9% across all observations, indicating that this simple formulation captures much of the data-generating process. In one case, we included data on conservation abandonment, extending the cumulative adoption model to estimate the dropout rate and predicting net adoption with an average error of 19.6%, also indicative that this model captures the empirical process reasonably well. We caution against using such models for long-term forecasts, as they are sensitive to multiple assumptions, but instead advocate for their use in adaptive management. Iterative comparisons of forecasts allow users to retrospectively evaluate the impact of decisions and investments. When combined with estimates of environmental outcomes, our framework may provide a comprehensive modeling strategy for identifying targeted management actions and forecasting the impact of conservation projects while considering dynamic social processes.

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“…One obstacle to realizing sustainable agriculture is the degradation of agricultural land [3]. The land degradation is a process that can reduce agricultural production capacity caused by human activities or natural phenomena that are heightened by human behavior [4,5]. One phenomenon of land degradation that has emanated in Indonesia is the degradation of highlands.…”

Section: Introductionmentioning

confidence: 99%

Potato cultivation on the west slope of Mount Slamet: millennial farmers perceptions and intentions for conservation-based farming

Karim

Darsono

Harisudin

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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A comprehension on the millennial farmers’ perceptions about land degradation, and their intentions to perform conservation-based farming is the initial effort in formulating appropriate programs and policies to control land degradation on the Mount Slamet’s western slope, Central Java. This study aims to: 1) explore the perceptions of millennial farmers about land degradation in potato farming and 2) discover the effect of these perceptions on their intention to do pro-environmental farming. The research was conducted in Paguyangan Brebes from January to March 2022 with a total sample of 189 millennial farmers aged 19-39 years. Research data were collected using a questionnaire with a Likert scale of 1-5. The analysis used was descriptive analysis and SEM-PLS through WarpPLS 7.0 software. The results showed that 96.83% of the millennial farmers realized that there had been a phenomenon of land degradation for potato cultivation. The decline in potato production is the strongest indicator of millennial farmers’ perceptions of land degradation conditions (LC) and land degradation risk (RISK). Both are the antecedents of millennial farmers’ intention to perform conservation-based farming (INT) partially. RISK acted as a mediating variable between LC and INT. INT reinforcement can be sought by clarifying the understanding of millennial farmers about the risk of land degradation in potato farming.

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Tryout and (Dis)adoption of conservation agriculture. Evidence from Western Madagascar

Cited by 14 publications

References 43 publications

Why do farmers wait so long before adopting fruit tree-based agroforestry technologies in Malawi? An application of hazard duration analysis

Why do farmers wait so long before adopting fruit tree-based agroforestry technologies in Malawi? An application of hazard duration analysis

Forecasting adoption trends for adaptive management of conservation scaling

Potato cultivation on the west slope of Mount Slamet: millennial farmers perceptions and intentions for conservation-based farming

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