14 pages., Via online journal., Green technology is the means of improving towards the rising environmental concern. The implication of green fertilizer technology (GFT) is the need for the modern development of environmentally friendly technology, also to increase the production level among all the agriculture crops. It is especially needed for paddy production, as it has always been considered as an important commodity because it is the main staple food for the nation. Paddy production in Malaysia using GFT allows for sustainable development and boosts the yield. Nevertheless, the adoption rate of GFT is unsatisfactory in most of the developing countries, including in Malaysia. The fact that the cost of production is considerably higher results in low-level perception regarding the adoption of GFT. Hence, the integration of communication and technology factors could become one of the main elements for the further development of the paddy sector in Malaysia. The overall objective of this research study will identify the factors that determine paddy farmer's adoption decision on GFT in Malaysia. To do so, a literature review was compiled on the topic of agriculture innovation-based adoption decision theories such as Diffusion of innovation (DOI), Theory of reasoned action (TRA), Theory of Planned Behavior (TPB) and Technology acceptance model (TAM) and communication channels to study paddy farmers' adoption decision of GFT. The results of the review revealed that this framework highlights adoption as an intricate behavior, interweaving aspects such as communication channels, socio-psychological and innovation attribute considerations. The conceptual framework illuminates the decision towards adoption as a self-motivated process, assumes a composite interaction among groups of variables coming from two different theories. The combination of DOI, TRA, TPB, TAM and communication channels overcome some limitations that arise when the only theory is used to examine the adoption decision among paddy farmers in Malaysia. Correspondingly, there has been limited empirical research done on the decision of adoption toward GFT use among paddy farmers in Malaysia.
8pgs, In many studies, communication and social cognitive theories have been used to investigate people's behaviors toward agricultural insurance programs resulting in varied conclusions on how and why people react to such programs. However, few of them have explicitly investigated the role of social cognitive theory in escalating insurance literacy levels on agriculture and cultural factors. Thus, the purpose of this study is to identify and analyze the behavioral factors of tidal swampland farmers in Barito Kuala Regency, South Kalimantan province, towards agricultural insurance in the perspective of analyzing farmers' knowledge of agricultural insurance products and determinants of community behavior. Under the instrumental case-study research design, the data were collected through interviews and Focus Group Discussion (FGDs) with 35 informants, consisting of the Head of the South Kalimantan Provincial Agriculture Service and the Barito Kuala District Agriculture Service, opinion leaders, academics, representatives of farmer groups, and farmers. Documentation data related to the implementation of the agricultural insurance program were used to complete the interview and FGDs data. The results of this study indicate that tidal swampland farmers are trapped in hoax information or negative issues related to Agricultural Insurance which makes them reluctant to participate in agricultural insurance. Farmers prefer to be resigned and surrender to the state of their agricultural land than to participate in agricultural insurance. Besides, farmers feel there is no point in participating in agricultural insurance, especially those who think the registration and insurance claim process is convoluted. Low insurance literacy is a key problem of the misinformation that is formed.
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.
6 pages., Gene editing (GE) and gene modification (GM) technologies demonstrate noticeable differences. GE technologies introduce changes in DNA, which are intrinsic to the species, while GM technologies incorporate changes from foreign species. The potential benefits of GE have been highlighted in a number of recent scientific studies, pointing to the opportunities that are opening up in addressing the food availability problems as a result of the growing world population. However, the implementation of GE technology in food production would rely on public awareness, acceptance, and attitudes toward genetically modified and genetically edited food products. Based on the Theory of Reasoned Action (TRA), we surveyed Lithuanian consumers, farmers, and producers for their awareness, attitudes, and behavioural intentions towards GM and GE food. The 251 consumers, 50 farmers, and 56 food producers participated in the survey. Consistent across all samples (consumers, farmers, and producers, respectively), GM technology-related products’ self-assed awareness was significantly higher than the level of self-assed awareness of GE products. Awareness of GEO in all samples is relatively low. The level of support for GMO and GEO is also low in all groups of respondents. All groups – consumers, farmers, and producers – are less negative about food produced from GE than from GM raw materials. There was a statistically significantly higher overall likelihood for future use of GEO than the GMO. Producers would be less likely than consumers and farmers to use GMOs in the future. The same inclinations are observed with regard to GEO, with statistically significant differences in the sample of consumers, farmers, and producers.
11 pages., Via online journal article., As climate change is expected to significantly affect agricultural systems globally, agricultural farm advisors have been increasingly recognized as an important resource in helping farmers address these challenges. While there have been many studies exploring the climate change belief and risk perceptions as well as behaviors of both farmers and agricultural farm advisors, there are very few studies that have explored how these perceptions relate to actual climate impacts in agriculture. Here we couple survey data from United States Department of Agriculture farm service employees (n = 6, 514) with historical crop loss data across the United States to explore the relationship of actual climate-related crop losses on farm to farm advisor perceptions of climate change and future farmer needs. Using structural equation modelling we find that among farm advisors that work directly with farms on disaster and crop loss issues, there is a significant positive relationship between crop loss and perceived weather variability changes, while across all farm advisors crop loss is associated with reduced likelihood to believe in anthropogenic climate change. Further, we find that weather variability perceptions are the most consistently and highly correlated with farm advisors' perceptions about the need for farm adaptation and future farmer needs. These results suggest that seeing crop loss may not lead to climate change belief, but may drive weather variability perceptions, which in turn affect farm adaptation perceptions. This lends further evidence to the debate over terminology in climate change communication and outreach, suggesting that weather variability may be the most salient among agricultural advisors.
19 pages., via online journal., Agricultural e‐commerce clusters are new phenomena that have emerged in rural China. In examining the case of Shuyang County in Jiangsu Province, this paper puts forward an integrated model revealing the formation mechanism of agricultural e‐commerce clusters. The paper shows that the formation of agricultural e‐commerce clusters involves four processes of technology introduction, technology diffusion, quality crisis, and industrial agglomeration based on elements such as industry bases, e‐commerce platforms, network facilities, logistics services, entrepreneurial talent, local government, and market demand. Rural social networks and imitation behaviors promote technology diffusion by reducing the cost of technology introduction, and industrial agglomeration is found in the economies showing a deepening of labor divisions and geographic agglomeration. Throughout the formation process, a quality crisis may occur due to a race to the bottom and the opportunistic behaviors of local farmers. This work suggests that regional e‐commerce development is a systematic project. Governments of developing countries should not only realize the positive impacts of e‐commerce for the development of the agricultural industry but also recognize the premise and logic of how e‐commerce can play a prominent role.
15 pages., via online journal., This study aimed to analyse the mediating role of farmers' time perspective in water resources exploitation behaviour/s (WREB). The study was descriptive correlational and causal relational and was carried out using a survey. The statistical population consisted of farmers in the eastern area of Lake Urmia (N = 232 295), of whom 386 persons were selected using a stratified random sampling method. The instrument was a questionnaire, whose validity was confirmed by a panel of experts. Its reliability was also verified by performing the Cronbach's alpha test (0.60 ≥ α ≥ 0.94). The causal framework is presented based on the findings. In such a condition, self‐efficacy, psychological needs and time perspective had the highest total causal effect on farmers' WREB. Moreover, the results confirmed the mediating role of time perspective (as a personal variable) and time norms (as a social variable) in WREB. Therefore, the proper conduct of farmers' WREB needs to provide a futuristic perspective, which is also confirmed by social norms.
17 pages, via online journal, Translator disclaimer
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ABSTRACT
Purpose: To identify and understand factors influencing farmers’ decisions to engage with extension activities. To understand farmer segments and how these factors vary in order to develop recommendations for future extension delivery.
Methodology: Qualitative data was obtained through semi-structured interviews with 30 Tasmanian dairy farmers. The Theory of Planned Behaviour (TPB) framework was used to identify and explore factors influencing farmer engagement intentions and behaviour.
Findings: There was a negative effect of social influence on experienced farmers’ intention to re-engage with extension, due to the belief extension activities were targeted to less experienced, younger farmers. Perceived control factors limiting engagement included lack of confidence about existing knowledge, resulting in farmers perceiving extension activities as confronting.
Practical implications: Key factors influencing intention to engage and continued engagement with extension were identified. These findings will inform future design and targeting of extension activities to improve initial and continued engagement. Subsequent recommendations are presented.
Theoretical implications: Previous TPB studies on adoption as an outcome of extension have typically focused on quantifying adoption predictions, rather than exploring how social factors interact and influence intentions and behaviours. This paper demonstrates how the TPB can be qualitatively applied to better understand farmer decision making, in this instance with respect to their initial and continued engagement with extension.
Originality/value: This paper demonstrates how the TPB can provide an evidence-based framework to qualitatively explore farmer intentions and behaviour. This approach has led to new insights into farmer decision making that will inform improvements in future extension development.
