29 pages, Agent-based models are important tools for simulating farmers’ behaviour in response to changing environmental, economic or institutional conditions and policies. This article introduces an agent-based modelling approach that combines behavioural factors with standard bio-economic modelling of agricultural production. More specifically, our framework integrates the cumulative prospect theory and social interactions with constrained optimisation decisions in agricultural production. We apply our modelling approach to an exemplary bio-economic model on the assessment of weed control decisions. Results show the effects of heterogeneous farm decision-making and social networks on mechanical weed control and herbicide use. This framework provides a generic and conceptually sound approach to improve the scope for representing farmers’ decision-making and allows the simulation of their decisions and recent advances in behavioural economics to be aligned with existing bio-economic models of agricultural systems.
20 pages., Agricultural extension and advisory services in information and technology dissemination and delivery are critical in a
developing country’s food security and sustainability. Without extension service provision, the productivity and
production smallholder farmers are experiencing would have been much lower, and current global hunger and
malnutrition worse. This paper assesses the effects of COVID-19 on the sustainability of agricultural extension
models/approaches for smallholder farmers in developing countries. Over 60 papers were reviewed covering 2019-2021,
commencing with the disease outbreak in China. Based on characteristics and usage, the findings indicate most reviewed
extension models were disrupted. No single model was entirely disbanded as the impact of COVID-19 was being felt.
However, each model incorporated a digital means of communication to keep farmers and service providers in touch.
There is considerable criticism around the inadequacy of these extension techniques in advancing the agenda for
smallholder farming’s long-term viability that needs to be addressed
Vigne Bennedetti, Luiza (author), Antônio de Almeida Sinisgalli, Paulo (author), Lamano Ferreira, Maurício (author), and Lemes de Oliveira, Fabiano (author)
Format:
Journal article
Publication Date:
2023-01-24
Published:
Netherlands: MDPI
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 206 Document Number: D12839
14pgs, Urban agriculture (UA) can be used as an action to promote sustainability in cities and inform public health policies for urban populations. Despite this growing recognition, its implementation still presents challenges in countries in the Global North and Global South. Background: In this context, this systematic review aims to identify the development of frameworks for the implementation of UA as a sustainable action and its main opportunities and shortcomings in meeting urban socio-environmental demands. Methods: In this review, using the PRISMA protocol, we evaluated 26 studies on the interplay between UA and sustainability surveyed on the Web of Science to provide an overview of the state of the art. Conclusions: In summary, it was possible to identify many key challenges in UA adoption, which regard air and soil contamination, availability of green areas, layout of urban infrastructure, food distribution, among others. Due to numerous socio-economic and environmental contextual factors in cities, especially when comparing realities of the Global North and Global South, there is a need to develop a model that can be adaptable to these different contexts. Thus, it is recognized that the concept of sustainability does not present a universal understanding and that in its search it could be argued that one of the most important gaps is still to address social issues in relation to environmental ones.
5 pages, The scientific advice needed to inform national and regional policies addressing the key challenges we face today must take account of disparate requirements. The complex nature of the problems addressed in this article—which encompass food and nutrition security, global health and climate change—and the multitude of their interconnections, calls for an integrated and multi-disciplinary approach that spans aspects related to the use of natural resources; the adoption of new technologies all the way to issues related to food demand and human behaviour. The scale is also important: national policies need to respond to a set of heterogeneous local conditions and requirements and should be particularly mindful of the effect on vulnerable groups of the population. At the same time, the global interconnectedness of food systems and shared natural resources also necessitates coordinated action at regional and global levels. The InterAcademy Partnership sought to develop an innovative model for integrating and analysing multidisciplinary scientific evidence to inform governments and regional policy bodies for policymaking on food and nutrition security. This approach relies on IAP’s membership of over 130 science academies grouped in four regional networks for Africa, America, Asia and Europe. Our article reviews the model, in particular with regards to interdisciplinarity, exploring examples relating to yield gap, plant breeding and food processing, and reflects on lessons learned during the project discussions and when engaging with policy-makers and other stakeholders. We propose that the framework developed can be applied to integrated assessment of other societal challenges where the scientific community can play a significant role in informing policy choices.
20 pages, As global climate change progresses, the United States (US) is expected to experience warmer temperatures as well as more frequent and severe extreme weather events, including heat waves, hurricanes, and wildfires. Each year, these events cost dozens of lives and do billions of dollars' worth of damage, but there has been limited research on how they influence human decisions about migration. Are people moving toward or away from areas most at risk from these climate threats? Here, we examine recent (2010–2020) trends in human migration across the US in relation to features of the natural landscape and climate, as well as frequencies of various natural hazards. Controlling for socioeconomic and environmental factors, we found that people have moved away from areas most affected by heat waves and hurricanes, but toward areas most affected by wildfires. This relationship may suggest that, for many, the dangers of wildfires do not yet outweigh the perceived benefits of life in fire-prone areas. We also found that people have been moving toward metropolitan areas with relatively hot summers, a dangerous public health trend if mean and maximum temperatures continue to rise, as projected in most climate scenarios. These results have implications for policymakers and planners as they prepare strategies to mitigate climate change and natural hazards in areas attracting migrants.
8 pages., Online issue., "Critics of climate science claim that climate models lack predictive skill. In fact, some of the earliest predictions made thirty years ago have performed remarkably well." ... "the bad news is that in terms of action, we are still only scratching the surface of responses needed...to prevent
'dangerous anthropogenic interference with the climate system.' The real challenges lie ahead."
15pgs, Agriculture is crucial in catering to the increasing demand for food and employment. Thus, adoption of novel technologies is important. Many scientists have developed different theories and models explaining the process of behavioral change relevant to adoption. They are either completely different, similar, or improvements of previously developed models. Therefore, compilation and summarization of these theories and models will support future studies and researchers. Thus, an analysis of literature on technology adoption was conducted. The review was prepared based on literature from various sources spanning around 50 years. The theories and models identified by different studies were compiled and analyzed in this review paper. Many theories and models in agricultural technology adoption such as transtheoretical model, theory of reasoned action, theory of interpersonal behavior, model for innovation-decision process, different versions of technology acceptance model, theory of planned behavior, theory of diffusion of innovation, task-technology fit, technology readiness, unified theory of acceptance and use of technology, expectancy livelihood model, social cognitive theory, and perceived characteristics of innovating theory were compiled. Each theory and model has its own uniqueness, which had explained different aspects of technology adoption process and factors determining the behavioral change. These theories and models included affecting factors such as technological, personal, social, and economical factors. In conclusion, it can be stated that, rather than having a single theory or a model, an integrated and amalgamated form will be more explanatory for technology adoption.
25pgs, We combine farm accounting data with high-resolution meteorological data, and climate scenarios to estimate climate change impacts and adaptation potentials at the farm level. To do so, we adapt the seminal model of Moore and Lobell (2014) who applied panel data econometrics to data aggregated from the farm to the regional (subnational) level. We discuss and empirically investigate the advantages and challenges of applying such models to farm-level data, including issues of endogeneity of explanatory variables, heterogeneity of farm responses to weather shocks, measurement errors in meteorological variables, and aggregation bias. Empirical investigations into these issues reveal that endogeneity due to measurement errors in temperature and precipitation variables, as well as heterogeneous responses of farms toward climate change may be problematic. Moreover, depending on how data are aggregated, results differ substantially compared to farm-level analysis. Based on data from Austria and two climate scenarios (Effective Measures and High Emission) for 2040, we estimate that the profits of farms will decline, on average, by 4.4% (Effective Measures) and 10% (High Emission). Adaptation options help to considerably ameliorate the adverse situation under both scenarios. Our results reinforce the need for mitigation and adaptation to climate change.
