Effect Of Farmers Research Articles

The Effect of Farmer’s Cognition on the Inconsistency Between Behavior and Intention in Manure Application

Manure utilization in China is below optimum due to the inconsistency between farmers’ behavior and their intention to apply manure to their crops. With increasing constraints on the availability of chemical fertilizer and their impact on the environment, understanding how farmers’ perceptions affect their intention and behavior toward manure application is an issue for the implementation of sustainable agricultural development. This study uses primary survey data from 653 farmers. A probit model was used to assess the influence of cognition on farmers’ intentions, behavior, and the inconsistency between them in the use of manure application. Heterogeneity analysis was conducted to identify differences between farmers with different education levels and operation scales. The results showed that enhancing subjective norms, perceived behavioral control, and behavioral attitudes could increase their intention and behavior. Furthermore, improving the perceived behavioral control and behavioral attitudes of farmers would reduce the inconsistency between behavior and intention. In addition, some differences were identified in the role of farmers’ cognition with different education levels and operation scales. In general, it is necessary to enhance farmers’ comprehensive cognition of the value of manure through publicity and popularization of technology, reduce farmers’ perceptions about difficulties in applying manure through new policies and subsidies, and stimulate farmers’ enthusiasm to participate in the practice.

Analyzing the Impact of Internet Use on Peer Effects in Farmers’ Adoption of Clean Energy: Strengthening or Weakening?

Enhancing farmers’ adoption of clean energy is crucial for promoting sustainable rural development and ecological environmental protection. It not only reduces the consumption of traditional fossil fuels, greenhouse gas emissions, and environmental pollution but also optimizes the structure of rural energy consumption, improves farmers’ quality of life, and supports the goal of building a green countryside. This paper investigates the impact of internet use on farmers’ adoption of clean energy and the associated peer effects, further exploring how internet use influences these peer effects. The analysis is based on data from the 2018 and 2020 waves of the China Family Panel Studies (CFPS). The study’s findings reveal that (1) farmers’ adoption of clean energy exhibits a significant peer effect, and internet use also has a significant positive impact on this adoption. Both the peer effect and internet use effectively enhance farmers’ clean energy utilization, a conclusion that holds even after robustness checks. (2) Internet use significantly strengthens the peer effect, particularly when it is used for social and entertainment purposes, where this reinforcing effect is most pronounced. (3) The peer effect, the impact of internet use on clean energy adoption, and the strengthening of the peer effect by internet use vary according to farmers’ geographical location and household income. These findings provide valuable insights and recommendations for improving policies aimed at promoting clean energy adoption among farmers, ultimately fostering its broader diffusion and application in rural areas.

Insecticide exposure and associated acute health effects in farmers in a rice growing district of India

ABSTRACT This study investigated insecticide usage and associated acute health hazards in rice farming in Odisha, India. A retrospective cross-sectional study design was used to collect data from 139 participants, in the post-monsoon period, 2023. The participants were overwhelmingly male, mostly aged 30 and over, with basic literacy and a range of educational attainment, three-quarters ceasing education by 10th grade and a significant number never attending school. Most farmers/farmworkers used low or moderately toxic insecticides in low doses, typically 3 times/year. However, uptake of appropriate PPE was poor when mixing and applying insecticides. Almost two-thirds (63.4%) of participants reported discomfort/illness after insecticide exposure. Over 90% reported up to 3 symptoms, most experiencing skin irritation. The reported health symptoms were significantly higher among those who ate and drank during insecticide application, compared to those who did not. The number of symptoms reported was also significantly higher in participants who had seen or heard of community insecticide poisoning cases in the previous 12 months, compared with those who had not. Further research is needed on barriers to using effective PPE and on information and training on risks and controls of insecticide exposure that are appropriate for rice farmers in Odisha, India.

Field observation and verbal exchange as different peer effects in farmers’ technology adoption decisions

AbstractFarmers’ adoption of novel technologies is influenced by other farmers’ behavior, a phenomenon known as peer effects. Although such effects have been studied intensively, the literature does not clearly distinguish between those that result (1) from verbal exchanges with other farmers and (2) from field observations, including the application of technology, its outcomes, and field conditions. We extend existing theoretical concepts and hypothesize that verbal information exchanges and field observations are two types of peer effects. Using data from an online survey of German sugar beet farmers’ application of mechanical weeding from early 2022, we find that the likelihood of adopting mechanical weeding increases across all model specifications by around 26%–28% if at least one adopter is known and by approximately 30%–32% if at least one field is observed. The two types of peer effects complement and reinforce each other in explaining adoption decisions. The effects increase with the number of adopters known and fields observed but decrease with larger distances to the observed fields. The findings can support designing extension services and future peer effects research that should consider the distinction between peer effects arising from verbal exchanges and field observations.

How Does the Certification Policy of Agricultural Products Affect the Adoption of Green Production Technologies by Farmers?—An Integrated Study

This paper studied the influence of agricultural product certification policy on the adoption of green prevention and control technology by farmers. Firstly, we used SPSS24.0 software to analyze the influence mechanism between farmers’ behavioral attitudes, subjective norms, perceived behavioral control, safety responsibility awareness and farmers’ green prevention and control technology adoption. Then, hierarchical regression analysis was used to test the hypotheses proposed in the study, and the effects of farmers’ behavioral attitudes, subjective norms, perceived behavioral control, and policy incentives and constraints related to agricultural product certification on the behavioral intention and behavior of adopting green prevention and control technology were studied. The results showed that the behavioral attitude, adoption intention and policy incentives contained in the agricultural product certification policy had significant effects on the adoption opinions and adoption behaviors of farmers’ green prevention and control technology, but the effect of policy constraints on the adoption behaviors was not obvious. Finally, according to the research conclusions, we put forward policy suggestions from three aspects: publicity, guidance and research and development.

Integrating vegetables in push-pull technology systems: gendered preferences of smallholder farmers in western Kenya

Transformative rural smallholder agriculture addressing biophysical constraints requires farmer-led innovations for increased technology adoption. Following the need to further intensify the cereal push-pull technology (PPT) for pest and weed control through integration with vegetables, we conducted surveys to determine suitable vegetables across three different counties in Kenya namely Homabay, Siaya, and Trans-Nzoia. Farming in these areas is predominantly maize based and introducing vegetables to the system will improve household food and nutritional security, together with income. A systematic random sampling method was used to sample a total of 124 smallholder farmers who were interviewed during field days where farmer awareness of technology was mobilised. Descriptive results showed kale (47%) and black nightshade (30%) were the most preferred high-value vegetables for integration into push-pull plots in these regions. This was followed by cowpea (15%), onion (6%) and tomato (2%) underlying the wide range of farmer preferences and priorities. There were also gender differences in vegetable preferences with men preferring capital intensive and high value vegetables, while women preferred traditional vegetables. Results from multinomial logit model revealed that age of the farmer, education level, gender, and farming experience were determinants of smallholder farmers’ vegetable preferences for integration into the PPT plots. The contribution of these determinants to farmer preferences varied across different vegetables where the contribution of the market value of the vegetable in selection diminished with while the effect of farmers’ age. Overall, male farmers preferred capital-intensive and market-oriented vegetables in compared to their female counterparts. We conclude that gender and geographic location play a pivotal role in farmers` crop selection for integration in the PPT. Targeted awareness creation pathways accounting for these factors will be critical for wider adoption of the PPT. Key words: Food security, Multinomial Logistic Regression Model, Participatory rural appraisal, Sustainable agricultural intensification, Technology adoption

Effect of farmers’ knowledge and production practices on the intensity of cassava bacterial blight in Western Kenya

The study was conducted to determine the association between farmers’ knowledge and production practices on the intensity of cassava bacterial blight (CBB) in Western Kenya. Multistage sampling was used to select 193 farms in Nambale and Teso south sub-counties in Western Kenya. A semi-structured questionnaire was administered to obtain information on farmer’s knowledge and cassava production practices. Within each farm, bacterial blight incidence was determined and 30 cassava plants were evaluated for disease severity. Symptomatic leaf samples were collected for isolation and confirmation of the CBB pathogens. GPS coordinates of each farm were taken for the development of disease distribution maps. Data analysis included descriptive statistics and the Chi-square test which was used to determine the association between sociodemographic traits and disease incidence. CBB was prevalent in both sub-counties and Xanthomonas phaseoli pv manihotis was the more widespread compared to Xanthomonas axonopodis pv cassavae. However, there was no association between CBB incidence, training, seed source, and intercropping suggesting that other factors contributed to the high prevalence of the disease. About 85% of the farmers interviewed were unaware of the disease suggesting that the farmers could be spreading the disease unknowingly through the use of self-recycled and neighbor-obtained cassava cuttings. The findings of this study will contribute toward measures aimed at curbing the disease and its spread.

The Effect of Farmers' Livelihood Capital on Non-agricultural Income Based on the Regulatory Effect of Returning Farmland to Forests: A Case Study of Qingyuan Manchu Autonomous County in China

The Effect of Farmers' Livelihood Capital on Non-agricultural Income Based on the Regulatory Effect of Returning Farmland to Forests: A Case Study of Qingyuan Manchu Autonomous County in China

Effects of Farmers in Co-selection and Shipping Organizations on Agricultural Products Sales Using Propensity Score Matching Method

Effects of Farmers in Co-selection and Shipping Organizations on Agricultural Products Sales Using Propensity Score Matching Method

Do farmers' social networks aggravate cultivated land abandonment? A case study in Ganzhou, China

AbstractTo clarify the influence mechanism and action path of social networks on farmland abandonment, taking the hilly and mountainous areas of Ganzhou, China as the study area, this paper first explores the influence of farmers' social networks on abandonment; furthermore, a mediation effect model is introduced to test the inhibiting effect of farmland transfer on abandonment under the scenario of expanding farmers' social networks. The results show that the expansion of farmers' social networks directly aggravates farmland abandonment, but with the development of land transfer market, farmers' social networks help to reduce the transaction cost of farmland transfer, thus promoting land circulation and restraining abandonment. Considering the double‐edged effect of farmers' social networks on abandonment, this paper recommends that policies aimed at curbing abandonment should be channeled through local farmers‐based social networks, and encourage land transfer among farmers' relatives, friends, or neighbors, and so forth to reduce transaction cost in rural society.

Local-scale factors and dynamics in climate adaptability among subsistence farmers

Climate change is the primary environmental threat to subsistence farmers’ productivity in Peru. Adaptation is promoted as the best mechanism to cope with climate change in subsistence agricultural livelihoods. However, climatic adaptability depends on the resources the farmer has access to or can use, which are not always adequate to respond effectively to the speed and aggressiveness of climate change. This study explored the local factors and dynamics (assets) influencing the climate adaptability processes of subsistence farmers in Huayhuay, Peru. Twenty subsistence farmers participated in semi-structured interviews within a basic qualitative design. The results brought to light 18 local factors and dynamics that influence the coping mechanisms of climate adaptability. These findings support other investigations that demonstrate the difficulty of climate change adaptation agricultural communities face. The difficulty of climate change adaptation has rooted the interrelationships of assets of different natures within the same adaptive process. Future research and interventions should encourage the active participation of farmers in local climate action and evaluate the efficiency and effectiveness of farmers' adaptability mechanisms, considering the role of each local-scale factor and dynamic.

Effect of Farmers' Socioeconomic Characteristics on Access to Agricultural Information in Gwagwalada Area Council, Abuja

This study was done to examine the information sources accessible to farmers in the Gwagwalada Area Council, Abuja. All farmers in the study region made up the population, and a sample size of 120 respondents were randomly chosen from this group. A well-structured questionnaire was used to gather data for this study's main sources. Descriptive statistics and the logit regression analysis model were used to evaluate the data. The findings showed that the majority of farmers (42.5%) were between the ages of 36 and 50, were married, and had households with 11 to 20 people. Additionally, the farmers (43%) make between N100,001 and N500,000. Results of the research revealed that farmers have access to some information such as information on fertilizer application, land preparation, improved varieties, fertilizer rate application, pest and diseases, market information and storage and processing. Few farmers had access to information on climate change, proper irrigation and farm machineries. The major source of information was radio, friend and relatives, farmers association and television. Education, marital status, and property size were all significant at the 5% level of probability, according to a logistic regression analysis of socioeconomic characteristics. The study came to the conclusion that radio, family, and friends are the most accessible sources of knowledge. The study comes to the conclusion that socioeconomic factors like gender, employment, annual revenue, farm experience, education, and farm are important for farmers. In order to motivate farmers to purchase some of the facilities that depend on these amenities to operate and provide access to information, it was suggested that the government make basic services like electricity and internet connections more affordable.

When my neighbors matter: Spillover effects in the adoption of large‐scale pesticide‐free wheat production

AbstractWe investigate the spillover effects in farmers’ adoption decisions of a novel pesticide‐free wheat production system. To this end, we exploit the variability and asymmetry in the social ties among neighboring farmers. We find evidence of spillover effects in farmers’ adoption decisions as well as in farm and farmer characteristics. Our results further highlight the importance of accounting for potentially heterogeneous social ties in farmer networks beyond pure measures of spatial proximity: spillover effects are only robust once we account for the strength of social ties through farmers’ stated tendency to consult peers on agricultural decisions. Our findings highlight the relevance of peer influence in the diffusion of sustainable agriculture practices even in contexts of well‐functioned institutions and high interest in environmental protection such as European agriculture. We discuss implications for the design of policies and programs for sustainable agriculture, which are currently in the center of attention in agricultural policymaking.

From Agricultural Green Production to Farmers' Happiness: A Case Study of Kiwi Growers in China.

Happiness is the ultimate goal of everyone working and earning wealth. At present, in the vast rural areas of China, the excessive and unscientific application of chemical fertilizers and pesticides is raising serious concerns for environmental protection. The Chinese government has strongly promoted agricultural green production as an alternative to the previous agricultural paradigm that sacrificed the environment. A shift towards agricultural green production has become imperative. However, will it bring "happiness" to farmers who partake in this shift? Using data from 1138 farmers in Shanxi, Northwest China, throughout 2022, this article examines the relationship between the adoption of agricultural green production and farmers' happiness. The empirical findings indicate that the adoption of agricultural green production can considerably increase farmers' happiness and that the more types of agricultural green technologies that are implemented, the greater the happiness of farmers. Further mediating effect analysis suggests that this mechanism occurs through raising the absolute and relative income, mitigating agricultural pollution, and elevating the social status. The findings shed new light on the effect of farmers' economic behavior on their happiness and underline the necessity of implementing relevant policies.

Aplikasi Teknologi PETIS Berbasis Solar Panel di Desa Sinarancang Kecamatan Mundu Kabupaten Cirebon

BUMDes Rancang Jaya has several activities such as a cafe business unit, village water management business unit, agricultural product management business unit, handicraft and industrial business unit. On agricultural land, there are several obstacles, one of which is the lack of resources to manage agricultural land. Automating plantation irrigation activities can change the paradigm from a manual and static system to a more dynamic system that leads to increased water use efficiency and leads to higher production yields. Application of solar panel-based PETIS Technology applications to increase the efficiency and effectiveness of farmers in managing their crops. Especially in surface water utilization systems as irrigation water and in the consistency of giving water to plants because PETIS Technology uses the RTC system, which is automatic watering based on the desired time based on solar panels. The method used is advocacy. Starting with conducting surveys and observations to analyze partner problems, assembling and testing tools, installing tools, and providing community assistance. Solar panel-based PETIS technology can be utilized for an automatic watering system on agricultural land in Sinarancang Village, which has a high level of efficiency because the electricity comes from solar panels that are free of charge.

Emotions Memory: Effects of Farmers' Markets on Place Attachment

As urbanization advances and policies are implemented, farmer's markets, as an important part of urban life, face dilemmas that urgently require academic exploration of countermeasures for market development models. This study takes Xuzhou Jiefangqiao Farmers' Market as an example, and under the guidance of place attachment theory, it integrates the questionnaire and observations, combined with SPSS software to analyze the case place site situation and sort out the factors influencing attachment perception. Extenics innovation method and Superiority evaluation strategy were used to investigate the results of the place attachment study. A quantitative conservation renewal strategy to improve the perception of place attachment of farmers' market users is proposed.

Effect of Farmers' Awareness of Climate Change on Their Willingness to Adopt Low-Carbon Production: Based on the TAM-SOR Model.

The COVID-19 pandemic highlighted the intricate relationships between human health and the social-ecological system in an era of climate and global change. Widespread COVID-19 adversely affected farmers' employment, production practices, and livelihood resilience. At the same time, climate change is a key issue limiting agricultural production worldwide. Emissions of greenhouse gases, such as carbon dioxide, are a major factor leading to global climate change. Greenhouse gas emissions from agricultural production are receiving increasing attention. Therefore, it is particularly important to develop low-carbon agriculture. Based on data from 920 family farms in Jiangsu province and Shaanxi province, this study constructs a structural equation model and empirically tests the relationship between the variables using the bootstrap method. The results show that: (1) climate change awareness did not directly stimulate farmers' willingness to pursue low-carbon production; (2) climate change awareness has an impact on low-carbon production willingness through perceived ease of use and consequence awareness; and (3) anti-risk ability can effectively moderate the impact of climate change awareness on low-carbon production behavior in agriculture. The theoretical model framework proposed in this study provides a reference for research in the field of low-carbon agriculture and also provides some insights and suggestions for environmentalists and governments. In addition, policymakers should effectively raise the sense of responsibility of farmers to address climate change and promote low-carbon agricultural production to achieve healthy and sustainable agricultural development.

Effect of farmer's behavior in cocoa management on insect diversity in Salayo Cocoa Plantation, West Sumatra, Indonesia

Abstract. Rosalia S, Yonariza, Syahrawati M. 2022. Effect of farmer's behavior in cocoa management on insect diversity in Salayo Cocoa Plantation, West Sumatra, Indonesia. Biodiversitas 23: 5064-5073. The behavior of farmers in cocoa cultivation will affect the cocoa (Theobroma cacao) plantation environment and all living things in it, including insects. Disruption of insect diversity will also affect the ecosystem services insects provide, especially those related to improving the quality and quantity of agricultural products, especially cocoa. This study aimed to determine and analyze the diversity of insects in cocoa plantations and the role of insects in the ecosystem. This research was carried out at the Salayo Cocoa Plantation, a small-scale farmers' cocoa plantation in Nagari Salayo, Kubung District, Solok Regency, and the Bioecology Laboratory, Plant Protection Department, Faculty of Agriculture, Andalas University, from July to October 2021. Insect collection was carried out using pitfall traps, yellow sticky traps, light traps, and spraying with insecticides. Insect sampling was carried out three times. The results showed that in cocoa plantations in Nagari Salayo, Kubung District, Solok Regency, insects from 12 orders, 31 families, and 58 species with a total number of 750 individuals were found, and insect diversity was in the range of 1-3322. Based on their role, the collected insects can be divided into pests, decomposers, pollinators, predators, parasitoids, and neutral insects. The richness and abundance of herbivores were lower than carnivores (predators and parasitoids). The predators with the highest number were Formicidae (Hymenoptera). Good farmer behavior in managing the cocoa plantation can maintain insect diversity and the sustainability of ecosystem services provided by insects.

Pengaruh Psikologi Petani terhadap Penerapan Inovasi Teknologi Fermentasi Jagung Bose pada Gapoktan Setetes Madu Fatuleu Desa Camplong II, Kabupaten Kupang

Corn is one of the important food ingredients for Indonesian people, to maximize the important role of corn as a staple food for the community, it can be done by improving the psychology about their decision to manage and consume the corn. This research aims to find out the effect of farmers’ psychological factors on the application of fermentation bose corn technology in Setetes Madu Fatuleu farmer group association. This research was held in Camplong village II Fatuleu District Kupang Regency of East Nusa Tenggara using quantitative research as an explanation survey research method and the participants of all Setetes Madu Fatuleu Farmer Group Association that cultivate the corn is amount 55 participants. Data analysis in this research using multiple linear regression analysis. The result showed: (1) psychological factors consisting of knowledge, motivation and attitudes together had a significant effect of 53,8% on the application of fermented bose corn technology in Setetes Madu Fatuleu Farmers Group Association, (2) psychological factors consisting of knowledge and each motivation has a significant effect of 46,6% for knowledge and 27,2% for the motivation factor of participant Setetes Madu Fatuleu Farmers Group Association on the application of fermented bose corn technology, while the attitude factor of the Setetes Madu Fatuleu Farmers has no effect on the application of fermentation bose corn technology.

Farmers’ adaptation to heavy metal pollution in farmland in mining areas: The effects of farmers’ perceptions, knowledge and characteristics

Heavy metal pollution (HMP) from mining has caused serious threats to farmland, such as land degradation and contamination of produce. Current research on HMP in farmland mainly focuses on the technical aspects while ignoring the social impacts. Farmers are the executors of farming strategies, and their adaptation behaviors are the key to solving HMPs. However, there is little insight into farmers’ adaptation process and the mechanism. Here, we propose a theoretical framework to explain the relationship between farmers’ perceptions, knowledge, characteristics, and adaptation behaviors. Based on survey data of 278 mining farmers in Daye City, Hubei Province, we tested the theoretical framework using a structural equation modeling and logistic regression. The results demonstrate that knowledge and information have significant positive effects on perceptions. We divided farmers’ perceptions into adaptation perception and risk perception. Adaptation perception plays a mediating role between risk perception and adaptation behavior. A low level of adaptation perception, for which technology is the most important limiting factor followed by money, limits the adaptation behaviors of farmers. In addition, farmers’ characteristics have significant effects on adaptation behaviors. Farmers tend to engage in adaptation behaviors according to the actual situation of their family such as income and obligations. Our results reveal the process and mechanism of farmers adapting to HMP in farmland, which can not only provide a scientific basis for managers to formulate control strategies for HMP but also enrich the literature on HMP in farmland. • A theoretical framework of farmers’ behavior in mining areas was proposed. • The effects of farmers’ perceptions, knowledge, and characteristics were verified. • Explained the mechanism of farmers adapting to heavy metal pollution. • Adaptation perception plays a mediating role. • Technology is the most important factor limiting farmers’ behaviors.