درخت حوزه‌های تخصصی

Purpose- This research aims to provide a comprehensive and systematic review of the knowledge structure and dominant trends in the literature concerning pro-environmental tourist behavior within rural tourism studies. The study seeks to identify research gaps and map the intellectual landscape of the field for future researchers. Methodology- This study employs a scientometric approach, combining systematic review and bibliometric analysis. A total of 1,020 eligible articles published between 1985 and 2024 were identified through the Scopus database and analyzed using VOSviewer software. Co-authorship, co-citation, and keyword co-occurrence networks were used to analyze the knowledge structure. Findings- The results reveal that China, the United States, Australia, the United Kingdom, and South Korea have the highest publication output in this field. Linnaeus University (Sweden), Sejong University (South Korea), and Lund University (Sweden) are among the most influential institutions. Keyword analysis identified three primary clusters: ecotourism, ecosystem and environmental protection, and tourism economy and market. According to the Theory of Planned Behavior, factors such as attitude, subjective and social norms, perceived behavioral control, and environmental awareness are the most significant predictors of tourists' pro-environmental behavior. Practical Implications- The findings provide valuable insights for destination managers and policymakers in developing effective strategies for sustainable tourism management. The results can serve as a basis for designing behavioral interventions and formulating evidence-based policies to promote responsible behaviors among tourists in rural destinations. Originality/Value- This study contributes to the existing body of knowledge by providing a comprehensive and dynamic map of the knowledge structure and prevailing trends in pro-environmental behavior in rural tourism. By filling the gaps of previous studies, this research identifies novel research opportunities for future scholars.

Purpose- Rural tourism has various effects on the economic and social aspects of rural households. Considering the significant impact of tourism on the economic and social development of local communities, this research aims to investigate the economic and social effects of rural tourism in Baft County.Design/methodology/approach- The statistical population consists of 2512 households in the rural of Baft Township, out of which 333 households were selected through simple random sampling based on Cochran's; formula. The primary tool for data collection was a questionnaire, the validity of which was examined through content and structural validity, and its reliability was assessed using composite reliability and Cronbach's; alpha (α = 0.90). Data analysis was performed using SPSS and LISREL software. To examine the fit of the measurement model of economic and social effects on rural tourism; the collected data were analyzed using LISREL software and second-order confirmatory factor analysis.Findings- The research findings indicate that the most significant impact is on the economic dimension, including employment and income, investment, and satisfaction. Moreover, the most prominent effects in the social dimension include social participation, protection of intangible heritage, sense of place, heritage and tradition preservation, tourist satisfaction, education and awareness, and ultimately, cultural elevation. The research findings also revealed that the absolute fit indices (AGFI = 0.91, GFI = 0.94), comparative fit indices (NNFI = 0.92, CFI = 0.95), and parsimonious fit indices (RMSEA = 0.054, X2/df = 2.63) confirm the excellent fit of the measurement model of economic and social effects on rural tourism with the observed data. Furthermore, the structural equation modelling results indicate that the most signicant impacts are in the economic dimension of employment and income and the social dimension of social participation.

Purpose – This study examines the barriers to promoting climate-smart agriculture (CSA) in rural areas of the Sistan Plain. Using a qualitative approach and focus group discussions, data were collected from farmers and local experts (54 participants). The discussions were analyzed through inductive content analysis, coding, and classification systems. Findings – The results reveal that barriers to CSA promotion fall into seven main categories: financial, institutional, technical and infrastructural, knowledge gaps, demographic, environmental, and market challenges. Key challenges include high initial costs, weak policies and institutional support, lack of practical knowledge and training, and adverse climatic conditions. Practical recommendations involve conducting specialized training, establishing pilot projects, and strengthening communication infrastructure. From a policy perspective, developing national strategies, providing financial incentives and credit facilities, and fostering collaboration across various sectors are crucial. This study offers comprehensive and integrated solutions to assist policymakers and agricultural practitioners in achieving sustainable development and strengthening CSA resilience. Practical Implications – This study proposes several practical solutions to address the identified challenges, including organizing specialized and operational training programs for farmers and experts, implementing pilot projects to demonstrate CSA effectiveness and benefits, developing communication and technical infrastructure such as high-speed internet access and advanced equipment, formulating national policies to provide financial and institutional support for CSA, and fostering collaboration among governmental, private, and local community sectors. Originality/Value – This research is one of the first comprehensive studies analyzing barriers to CSA promotion in Iran. Given the unique conditions of the Sistan Plain, the findings can serve as a model for other underprivileged regions in Iran and similar countries. The practical solutions and effective policy recommendations presented here mark a significant step toward sustainable development and greater agricultural resilience to climate change.