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.
Social media networks are increasing in popularity and have been integrated into many aspects of daily life. Analysis of the ways in which individuals use social media is important for understanding social, cultural, and environmental issues. This study examines experiences of farmers’ market customers through their self- expression on social networks. Contributions to the Instagram social network based on the #farmersmarket hashtag were gathered on a single day, yielding 19,398 contributions created by 13,862 users. Six major linked hashtags were identified (#Organic, #Fresh, #Food, #Local, #Vegan, and #Healthy), providing key indicators of the characteristics of farmers’ markets that are valued by customers. Four customer segments were identified: Product Oriented, Emotional Oriented, Social Oriented, and Product-Social Oriented, with strong interconnections identified between these communities. The results of this study provide insights into consumer values and behaviors in the farmers’ market context and will be of practical use for future marketing and management.
Via online UI subscription, Recent research suggests that Internet usage can positively influence social capital in
rural communities by fostering avenues for voluntary participation and creating social
networks. Most of this research has examined whether Internet use is associated
with participation in local organizations and social networks but not the means by
which residents use the technology to learn about local activities. To address this
gap in the literature, the authors use a mixed-methods approach in an isolated rural
region of the western United States to evaluate how residents use their connections
to maintain local social networks and learn about local community events and
organizations. The authors show that Internet usage can play an important role in
building social capital in rural communities, thus extending the systemic model of rural
voluntary participation and community attachment. Implications for rural community
development are addressed.
21 pages, Multiple dynamics jointly determine who we befriend, however, researchers have failed to systematically assess which processes matter most under different circumstances. Here I draw on observations around how the demands of paddy rice cultivation shape social interaction to demonstrate that the relative importance of reciprocity, transitivity and generalised exchange to who rice producers choose as friends varies with the amount of agricultural land under their control. In doing so, I use unique data on farm size and friendship amongst 4713 rice-growing smallholders in 162 rural villages in Jiangxi, China along with a new technique for measuring the relative importance of effects in Stochastic Actor-Oriented Models. In line with the micro-level component of the recently advanced “theory of network ecology”, results suggest that features of an individual’s proximal environment can powerfully moderate the relative expression of network-formation mechanisms such that for some individuals, a dynamic may be expected to hold substantial sway over the process of choosing social contacts and, for others, no sway at all.
9 pages, The article investigates whether the social network based program (SNP) in villages can encourage learning and adoption of a relatively new cash crop, cotton, to female heads of households. It explains how social network based training program had more significant effects on yields for the poorest performing farmers than the standard training program, and proves that SNP can increase productivity up to 50 percent for farmers producing at the average yield of production.