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.

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.