What carbon farming activities are farmers likely to adopt? A best–worst scaling survey

Dumbrell, Nikki P.; Kragt, Marit; Gibson, Fiona

doi:10.1016/j.landusepol.2016.02.002

Cited by 87 publications

(75 citation statements)

References 33 publications

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“…BWS was introduced by Finn & Louviere [32], who used it to measure public concern about food safety, and it has since been used in various contexts, including consumer behaviour, health policies and environmental and planning studies [21,33,34,36,[38][39][40][41][42][43].…”

Section: Best-worst Scaling Methodologymentioning

confidence: 99%

Preferences for Urban Green Space Characteristics: A Comparative Study in Three Portuguese Cities

et al. 2018

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Many studies have argued that a better understanding of people's preferences about public urban green spaces may inform urban planners to effectively provide and manage urban green spaces to meet users' needs. The aim of this study is to examine urban residents preferred public green space characteristics and investigate whether similarities and differences can be highlighted in three different Portuguese cities. Through a web-based questionnaire based on the best-worst scaling (BWS) method, residents of Lisbon, Porto and Évora (n = 750) were asked to select the most and least important public green space characteristic among thirteen attributes. The results suggest a consensus about some green space characteristics across cities but also the existence of some local variations in city residents' preferences. Overall, this study can support public authorities and urban planners as they strive to effectively design and manage urban green spaces to meet users' needs.

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Section: Best-worst Scaling Methodologymentioning

confidence: 99%

Preferences for Urban Green Space Characteristics: A Comparative Study in Three Portuguese Cities

et al. 2018

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“…Although it has been mainly applied in business management and designing marketing strategies [27,28], it is gaining much popularity in some new subjects, such as health care [23,29]. In resource and environmental economics, it is gradually being employed to evaluate different environmental policies or mitigation measures [30,31]. There are three cases of BWS being used: Case 1 is often employed when the research mostly pays close attention to relative values of different objects.…”

Section: The Best-worst Scaling Methodsmentioning

confidence: 99%

Evaluation of GHG Mitigation Measures in Rice Cropping and Effects of Farmer’s Characteristics: Evidence from Hubei, China

Tong

Zhang

2017

Sustainability

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Greenhouse Gas emissions from agricultural activities, such as rice cropping, have been proven to be an important cause of climate change, with constant barriers and constraints in the implementation and promotion of mitigation measures among farmers in China. However, there has been a lack of research focusing on specific mitigation measures and their characteristics. In this paper, we applied the expert assessment and best-worst scaling method to evaluate mitigation measures in rice cropping from the perspectives of effectiveness and applicability. The results showed that no mitigation measure in rice cropping was best from both an effectiveness and applicability viewpoint. However, the study found that "reducing the use of chemical fertilizers" was the most effective one, while "applying soil testing and formulated fertilization" was the most applicable one. Additionally, the older farmers spending more time on non-agricultural jobs and farming more plots of land were more likely to believe that mitigation measures related to the management of input elements would be more applicable compared to soil and water management or some types of new science and technology. Finally, we suggested that the agricultural extension agencies should popularize input elements management such as improvement of fertilizer or seeds among older farmers, and meanwhile promote soil cultivation management and new technologies for agriculture in areas where the land is more concentrated such as plains.

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“…Still, increasing environmental regulation economically challenges farmers who, even in developed countries, can often hardly eke out a living (Rodriguez et al 2009;Selfa et al 2010). The high perceived economical risks and uncertainties associated with adopting sustainable agricultural practices (Dumbrell et al 2016) indicate that financial incentives, from subsidies to higher profit margins, might motivate farmers to change practices. For example, price premiums in organic agriculture have been shown to be an effective motivator for changes (Serra et al 2008) and also agri-environmental schemes have been widely adopted (Lastra-Bravo et al 2015).…”

Section: Interlinked Supply and Demand Changesmentioning

confidence: 99%

“…Alternatively, carbon credits for mitigating emissions or sequestering carbon might also offer an additional income to farmers, but the inclusion of agriculture on the carbon market faces multiple challenges. First, carbon prices fluctuate and the associated uncertainty discourages farmers from adopting climate-smart practices (Dumbrell et al 2016). Second, it is difficult to measure and verify carbon emissions from agriculture (Sirohi 2015).…”

Section: Pathways For Implementing Climate-smart Agriculturementioning

confidence: 99%

“…Second, it is difficult to measure and verify carbon emissions from agriculture (Sirohi 2015). Contrariwise, communicating potential co-benefits, such as improved soil quality, is more likely to convince farmers to switch (Dumbrell et al 2016), although the benefits can only be realized in the long term (van Apeldoorn et al 2011). At the same time, simple tools to estimate on-farm emissions and their reductions need to be developed (Sirohi 2015), and intermediaries could bridge the gap between farmers at the micro-level and credit buyers at the macro-level (Clements and Moore 2015).…”

Section: Pathways For Implementing Climate-smart Agriculturementioning

confidence: 99%

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Mapping and linking supply- and demand-side measures in climate-smart agriculture. A review

Scherer

Verburg

2017

Agron. Sustain. Dev.

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Climate change and food security are two of humanity's greatest challenges and are highly interlinked. On the one hand, climate change puts pressure on food security. On the other hand, farming significantly contributes to anthropogenic greenhouse gas emissions. This calls for climate-smart agriculture-agriculture that helps to mitigate and adapt to climate change. Climate-smart agriculture measures are diverse and include emission reductions, sink enhancements, and fossil fuel offsets for mitigation. Adaptation measures include technological advancements, adaptive farming practices, and financial management. Here, we review the potentials and trade-offs of climate-smart agricultural measures by producers and consumers. Our two main findings are as follows: (1) The benefits of measures are often site-dependent and differ according to agricultural practices (e.g., fertilizer use), environmental conditions (e.g., carbon sequestration potential), or the production and consumption of specific products (e.g., rice and meat). (2) Climate-smart agricultural measures on the supply side are likely to be insufficient or ineffective if not accompanied by changes in consumer behavior, as climate-smart agriculture will affect the supply of agricultural commodities and require changes on the demand side in response. Such linkages between demand and supply require simultaneous policy and market incentives. It, therefore, requires interdisciplinary cooperation to meet the twin challenge of climate change and food security. The link to consumer behavior is often neglected in research but regarded as an essential component of climate-smart agriculture. We argue for not solely focusing research and implementation on one-sided measures but designing good, sitespecific combinations of both demand-and supply-side measures to use the potential of agriculture more effectively to mitigate and adapt to climate change.

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What carbon farming activities are farmers likely to adopt? A best–worst scaling survey

Cited by 87 publications

References 33 publications

Preferences for Urban Green Space Characteristics: A Comparative Study in Three Portuguese Cities

Preferences for Urban Green Space Characteristics: A Comparative Study in Three Portuguese Cities

Evaluation of GHG Mitigation Measures in Rice Cropping and Effects of Farmer’s Characteristics: Evidence from Hubei, China

Mapping and linking supply- and demand-side measures in climate-smart agriculture. A review

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