7 research outputs found

    Pro-environmental analysis of farmers' concerns and behaviors towards soil conservation in central district of Sari County, Iran

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    This study aimed to pro-environmentally analyze farmers' concerns and behaviors towards soil conservation. This research was a descriptive, causal, and correlational and conducted through a survey technique. The study population consisted of all farmers at the central district of Sari county, Iran (N=9621). Based on the Cochran's formula, 120 farmers were selected using stratified random sampling. The instrument employed in this study was a questionnaire with its validity being confirmed by a number of academic experts and agriculture specialists and its reliability being proved using Cronbach's alpha coefficients in a pilot study (outside the scope of the current study). (0.66≤α≤0.90). The results of the analysis regarding the effects of independent variables on the variables "soil conservation behavior" and "soil conservation concern" indicated that, among the variables affecting these two variables, the variable "attitude towards soil conservation "was the most powerful predictor of "soil conservation concerns" and the variable "social pressures on soil conservation" predicted farmers' "soil conservation behaviors" better. Furthermore, the independent variables used in this research could predict 42% of the variance in terms of soil conservation concern and 21% of the variance in terms of soil conservation behavior. These findings can be practical and appropriate for executive officials since, instead of making efforts to direct change the behavior, they can first focus on conceptual changes and persuasive changes like changing attitudes towards soil conservation

    Developing an Appropriate Model for Entrepreneurial Faculty of Agriculture in Iran

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    Nowadays, promoting entrepreneurship to train graduates endowed with entrepreneurial traits is considered as one of the new functions of the faculties of agriculture. In this regard, the purpose of this study was to design an appropriate model for entrepreneurial faculty of agriculture in Iran. This study was of descriptive-correlational research type in which a survey method was employed for data collect ion. The study po p ulation comprised all student s (N1=19973) and faculty members (N2=713) of all faculties of agriculture in Iran's state-run (public) universities of whom 403 students and 344 faculty members were sampled by multi-staged (three-stage) method. The sample size was determined by Krejcie and Morgan's sample size table. The research instrument was a self-designed questionnaire whose face and content validity were confirmed by a panel of experts. The diagnostic validity of the questionnaire in the case of its latent variables was also confirmed using the average variance extracted method (0.76≤AVE≤0.87). Furthermore, its internal consistency (0.81≤α≤0.93) and composite reliability (0.80≤Pc≤0.91) were confirmed using Cronbach's alpha coefficient. The collected data were also analyzed using SPSS22 and LISREL9.1. The results showed a significant relationship between structural, content, and contextual factors and entrepreneurship of faculties of agriculture. Meanwhile, content factors showed the greatest effect (path coefficient = 0.83) on the entrepreneurship of agricultural faculties. According to the findings, the final proposed model was developed with respect to the factors listed in three categories of education, research, and entrepreneurship for the establishment of entrepreneurial faculties of agriculture in Iran

    Impact Assessment of Self-directness and Meta-cognitive Skills on Agricultural Students’ Academic Achievement in Iran

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    Students' academic achievement is one of main indicators in evaluating higher agricultural education. One of the most effective strategies in terms of academic achievement is to reinforce self-directness and meta-cognitive skills. The main objective of this study was to evaluate the effects of elf-directness and meta-cognitive skills on the academic achievement of agriculture students in Iran. This research was a descriptive-correlational study using a survey technique. The instrument adopted in this study was a questionnaire which validity was confirmed by a group of curriculum developers and educational planning specialists in the higher agricultural education system. Cronbach's alpha coefficients were used to determine the reliability of this scale. Cronbach's alpha values ​​for different variables showed the acceptable reliability of this instrument (0.74≤α≤0.96). The statistical population of the study consisted of the agriculture students in Iran (N=236973). The sample size was estimated to be 150 persons by using Cochran statistics and two-stage sampling method (cluster sampling and proportional stratified random sampling). The results showed that the variables self-directness, metacognitive skills, and social conditions had a positive and significant effect on the academic achievement among these students. In total, they could predict a significant percentage (68.1%) of variance for the variables academic achievement

    Conceptualization of Farmers’ Water Conservation Intention and Behavior through the Lens of Economic Man Worldview: Application of Structural Equation Modeling

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    Although different worldviews have been presented to analyze the conservation behaviors of farmers, limited empirical evidence exists for the use of the economic man worldview to analyze farmers’ water conservation behaviors (WCBs). Therefore, the conceptualization of farmers’ water conservation behavioral intentions through the lens of this worldview was the primary objective of this survey. To this aim, the extended planned behavior theory (PBT), which is the main theory of the economic man worldview, was employed. The study population was 36183 Iranian farmers, 380 of whom were interviewed in-person in the form a cross-sectional survey research design. An estimation of sample size was performed via the Krejcie and Morgan Table. Moreover, the distribution of the sample size was carried out by a multi-stage random sampling method. Validity and reliability, which are undeniable features of questionnaires in social and psychological sciences, were examined using different quantitative and qualitative indices. The obtained results indicated that the effect of intention towards water conservation (IWC) on WCB was positive and significant. Therefore, this research supports the main assumption of the PBT and the economic man worldview. However, according to the results, the power of IWC’s effect on WCB is not very significant. In addition, the variance explanation of WCB as the fundamental dependent variable is not very high. It can be mentioned that the economic man worldview has a relative and moderate power to analyze the WCBs of farmers. Hence, it is suggested that some variables, including moral norms, environmental concerns, and environmental values, are used to develop and increase the explanatory power of the PBT in future studies. This study is the first study of the applicability of the economic man approach in analyzing farmers’ WCBs. It could be used to open a new research window for future and interested researchers to conduct successful interventions in the field of water conservation

    Development of a scale to remove farmers’ sustainability barriers to meteorological information in Iran

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    peer reviewedEven with significant breakthroughs in the production and delivery of meteorological information, most farmers are not able to utilize such information properly and pertinently. Up to the present time, a standardized scale has not been developed to examine farmers’ sustainability barriers to meteorological information use (BMIU). Furthermore, there is no doubt that identifying indicators and dimensions of sustainability barriers to meteorological information and weather forecasts’ usage by farmers can play a major role in their adaptation and resilience to the risks of climate change. Therefore, the present study aimed to generate and validate a scale for BMIU by farmers through an eight-step approach. Accordingly, the statistical population included 9006 Iranian farmers, 368 of whom were selected as study samples. The principal component factor analysis (PCFA) and second-order confirmatory factor analysis (CFA) were further practiced to develop the scale for meteorological information and weather forecasts’ use. Factor analysis also led to the emergence of five latent factors including “educational–communicative barriers (ECBs)”, “normative barriers (NBs)”, “informational barriers (IBs)”, “infrastructural–political barriers (IPBs)”, and “professional–economic barriers (PEBs)”. The second-order CFA correspondingly confirmed these five factors and their 25 related indicators. Given the challenges facing academic scholars, decision makers, and authorities in the application and facilitation of meteorological information, the developed multidimensional scale in this study along with its implementation steps can be effective in examining the limitations of utilizing such information and measuring its impacts in different agricultural communities
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