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Showing 3 results for darbaneh astaneh

Leyla Sharifi, Saeed Bazgeer, Hosain Mohmmadi, Alireza Darbaneh Astaneh, Mostafa Karimi Ahmadabad,
Volume 20, Issue 57 (6-2020)
Abstract

In an agricultural system, crop production is related to climatic conditions. Therefore, a deeper understanding of the impact of regional climate change on production ensures global food security. Wheat is one of the most strategic crops and examining different aspects of its production is a necessity of every agricultural community. According to studies, wheat production is affected by various variables including environmental, individual and social, economic and technological. The aim of this study was to estimate the effect of these variables on changes in wheat production in different climates of Fars province. The required data were collected and analyzed through multi-stage random stratified sampling and 522 completed questionnaires through face-to-face interviews with farmers in the province. Farmers' attitudes were measured in the Likert scale and Cobb Douglas, Transcendental and Translog production functions were used to estimate the effect of variables. Results of comparing effective variables in three Cobb-Douglas, Transcendental and Translog functions; demonstrates the superiority of translog. From the perspective of the farmers of the province in the translog function, respectively; Soil moisture at planting time (0.692), effective rainfall during growing season (0.68) and at planting date (0.66), heat wave at harvest time (0.63), damaging rainfall (0.59) , Profit from wheat production (0.51), farmer education (0.49), soil quality (0.49) and cultivation method (0.49) with the coefficient of the mentioned criteria next to them; The most important factors explaining wheat production in Fars province. Independent variables in the translog function explain 92% of the changes in wheat production in Fars province.

Leyla Sharifi, Saeed Bazgeer, Hosain Mohmmadi, Alireza Darbaneh Astaneh, Mostafa Karimi,
Volume 24, Issue 72 (3-2024)
Abstract

Awareness and understanding of the climate trends by farmers and the attitude towards the necessity of this awareness is one of the essential capacities in agricultural societies. Farmerschr('39') attitudes to climate information are affected by their behavior with the climate hazards and uncertainties and influence their decision on adopting appropriate strategies to minimize the damages caused by climate changes on agriculture and improve their readiness. Hence, the aim of the present study was to establish a comprehensive framework and model for the qualitative evaluation of studies discussing the factors that affect farmerschr('39') attitudes to climate information utilization with a systematic review approach. For this purpose, the following keywords, including climate, climate change, climate changes, meteorological information, global warming, drought, flood, chilling, frost, climate hazard, precipitation, temperature with the aid of the following keywords namely, farmer, farmerchr('39')s attitude, farmerchr('39')s perception, farmerchr('39')s knowledge, and indigenous knowledge were used in both languages, Persian and English, among the articles published between the year of 2000 and 2019. After three stages of screening 788 related articles and according to approved criteria, 25 scientific and research articles were selected and explored. After qualitatively evaluating these articles, a model with five bio-environmental, individual, social, economic & technological factors as well as 19 dimensions has been proposed to evaluate the factors affecting farmerschr('39') attitude towards using climate information. Finally, to apply the results of this study, a unified conceptual model is presented that can be the strength of the existing frameworks in making the national agricultural policy.
 
Sara Ferdosi, Hasanali Faraji Sabokbar, Alireza Darbaneh Astaneh, Fazileh Khani,
Volume 24, Issue 75 (12-2024)
Abstract

The development of sustainable entrepreneurship plays a critical role in promoting human well-being and environmental preservation. To achieve this objective, it is essential to understand the factors affecting the emergence of entrepreneurial opportunities in different regions. Therefore, this study aims to explore these factors through a descriptive-analytical survey, with data collected from documentary research and field surveys. The number of experts was 52 who were purposefully sampled using the snowball method. The study employed four indicators and 28 items, which were measured using the Likert scale. A sample of 439 individuals, consisting of 387 villagers and 52 experts, participated in the study. The selection of the 387 villagers was determined using Cochran's formula from a statistical population of 215,104 people. Descriptive statistics, such as mean and standard deviation, as well as inferential statistics, including one-sample t-test and one-way analysis of variance, were used to analyze the data. The results of the one-sample t-test revealed that all indicators examined in the study were statistically significant at a confidence level above 95%. These findings suggest that the villagers' perception of these indicators is positive, given that the observed mean value (3.1) is assumed to be positive. Furthermore, the evaluation statistics, such as the multiple determination coefficient and adjusted coefficient of determination, indicated that the transcendental model provides a better understanding of the factors influencing entrepreneurial opportunities and the key areas of entrepreneurship. The analysis of the transcendental model demonstrated that government subsidies, investment and facilities, product insurance, and education are the most influential factors in the formation of entrepreneurial opportunities. Additionally, the most important sectors for creating and developing entrepreneurship were found to be handicrafts, home-based jobs, oil and gas, medicinal plants, and date production. Overall, the results highlight the region's significant potential for natural, economic, and industrial entrepreneurship, emphasizing the necessity for the government to prioritize investment in entrepreneurship.


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