Investigating the factors affecting farmers' intention to adopt contract farming.

Agricultural endeavors, especially in developing nations, entail inherent risks. Amidst challenges related to capital and agricultural marketing, contract farming emerges as a highly effective strategy. It not only facilitates capital accumulation but also ensures consistent product sales, establishes fair pricing, and contributes to the overall balanced development of the agricultural sector. This concern has been a longstanding global consideration, with Iran now addressing it. Recognizing the paramount importance of implementing contemporary agricultural methodologies, including contract farming, this research systematically investigates factors influencing farmers' intentions in Iran. A survey methodology is employed for systematic information collection from a statistical population of 98,777 farmers in rural Markazi Province, Iran. Using the Karjesi and Morgan table for sample size determination, a representative subset of 383 farmers is selected through stratified random sampling, ensuring proportional assignment within strata. A researcher-made questionnaire, validated by expert panels and confirmed for reliability through Cronbach's alpha coefficient, serves as the research instrument. Data analysis was conducted using SPSS 27, and structural equation modeling was performed with SmartPLS4. The findings reveal that trust (0.528), awareness (0.332), and attitude (0.168), exert the most substantial causal influence on farmers' intention to embrace contract farming. Consequently, the research findings offer practical recommendations for the adoption of contract farming, providing valuable insights to policymakers and stakeholders for implementing targeted interventions aimed at boosting farmers' willingness to participate in contractual agreements.

Unveiling energy security in agriculture through vital indicators extraction and insights.

Despite advancements in meeting various human needs, energy supply remains a top priority for all countries worldwide. The escalating energy consumption in the agricultural sector underscores the necessity to scrutinize its energy usage. Presently, there exists an absence of a precise tool for accurately measuring this consumption. Hence, this study aims to identify indicators for measuring energy security in agriculture, conducted in three phases: content analysis, indicator validation, and field investigation. In the content analysis phase, energy security indicators were extracted and grouped into four categories: accessibility, availability, utilization, and sustainability. Following this, a two-stage validation process led to the identification of 18 indicators for assessing energy security in agriculture. In the field phase, a tailored questionnaire was distributed to 160 randomly selected farmers. The findings revealed that the availability component held the highest rank in establishing energy security, with an average score of 3.31. However, the current status of the access component indicates a more unfavorable situation compared to other dimensions. Consequently, to achieve energy security in agriculture, particular emphasis should be placed on enhancing energy access. Key areas to address include reducing transportation costs and minimizing the use of chemical pesticides. This indicates a necessity for focused interventions aimed at improving both energy access and sustainability within the agricultural sector. These efforts would contribute to enhancing economic efficiency and promoting environmental conservation.

A comprehensive study on criteria of sustainable urban waste management system: using content analysis.

The present study was developed to comprehensively analyze experts' views and content of documents focusing on goals and criteria of sustainable waste management system in Tehran, Iran. To this end, the suitable goals for sustainable waste management system in Tehran city were adopted from domestic, national and international documents. For this purpose, 27 national and international documents and 2 domestic documents related to waste management were selected and analyzed by using content analysis according to Gall, 1994. Further, in order to formulate goals in case of bottlenecks and challenges of waste management in Tehran, the focus group technique was used based on Stewart and Shamdasani, 2014. At this stage, 24 key experts in the field of waste management were interviewed in the form of 4 focus groups. Data collection were performed via audio recording and word-for-word implementation of conversations, taking notes and writing field notes. The data collection continued until reaching theoretical saturation. Next, content analysis and coding methods were used to analyze the data. Finally, the goals of waste management were divided into five general categories including: institutional (with emphasis on the integration and inclusion of the key elements of the urban waste management system), technical and infrastructural (with emphasis on the optimization of existing processes in the use of urban waste management technologies), environmental (with emphasis on minimizing the adverse health and environmental effects of the urban waste management system, economic (with emphasis on the economic and financial sustainability of the urban waste management system), and cultural-social (with emphasis on attracting the maximum participation of citizens and service recipients). The results clearly showed that sustainable waste management measures in Tehran should follow these five components in order to reduce the problems caused by unrealistic waste management and make sustainable use of basic, natural, financial and human resources.

Consumers' attitude toward participation in community-supported aquaculture: a case of Kurdistan province in the west of Iran.

Considering the increasing importance of sustainable operations in the agricultural sector and the relationship between producers and consumers, the current study was to determine customers' attitudes on participation in community-supported aquaculture programs in Kurdistan province (in the west of Iran). The present study was a survey, non-experimental, applied, and descriptive-correlational research. Using a literature review and field studies, factors affecting consumers' attitudes have been extracted. Then, to determine validity, the questionnaire was given to a panel of subject matter experts. Furthermore, to assess the reliability of the research instrument, the Cronbach's alpha coefficient was calculated. The results showed the good validity and reliability of the research tool. Moreover, structural equation modeling was used to confirm the proposed model. The results showed that among the factors affecting the attitude of consumers, the price of aquatic products had the first place, which has been neglected in the previous studies. In this regard, it was suggested that by creating support funds and facilities for the participation of consumers in community-supported aquaculture programs, setting standards for healthy aquatic products, and producing programs related to the introduction of community-supported aquaculture programs on the radio and television, the attitude of the consumers can be improved.

Vulnerability assessment of Iran's rural-farmer households during COVID-19 pandemic.

The COVID-19 pandemic caused an emergency around the world, especially in rural communities, and imposed great disasters on human societies, so it's devastating effects on mental health indicators, economy, environment, and social relations are known to everyone. But the accurate assessment of its damage to human societies can help to manage this phenomenon during and post-COVID-19 pandemic. To that end, the present study was conducted for vulnerability assessment of wheat farmers to the COVID-19 pandemic in northwest Iran. The main data collection tool in this study was a questionnaire that was designed based on the Me-bar model, but for the accurate vulnerability assessment, new parameters were added based on the theoretical research literature and the COVID-19 pandemic. The sample size was selected from 420 wheat farmers living in East Azerbaijan Province, the northwest of Iran, using the Kerjcie and Morgan's table. The results showed that for economic vulnerability, the rural poverty was the most important cause of vulnerability of the studied rural households and access to information was most important cause of social vulnerability. Also, the results showed that for psychological vulnerability, the self-efficacy was the most important cause of vulnerability. In other results, irrigation parameters of agricultural lands were the most important cause of environmental vulnerability. The study results showed that the studied farmers have experienced high levels of vulnerability and were strongly affected by economic, social, psychological, and environmental damages. Moreover, the results showed that the farmers of Shabestar and Maragheh had the highest level of vulnerability. In general, the study results can provide policymakers with new insights into the field of COVID-19 pandemic management because the vulnerability of farmers has been identified using 39 parameters.