درخت حوزه‌های تخصصی

Purpose-Women's participation in decision-making processes is a prerequisite for achieving sustainable development in local communities. However, despite the importance and necessity of involving all members of society in various aspects of development, unfortunately, due to various reasons (economic, social, cultural, and institutional), insufficient attention has been given to this matter. Consequently, the role of women's participation in rural development is significantly weak. Therefore, one crucial aspect of rural development planning is to focus on the participation of rural women and examine the obstacles they face.Design/methodology/approach -This research is descriptive-analytical in terms of its practical purpose and methodology. The data collection tools consisted of questionnaires and interviews conducted with a sample of 378 women from the villages of Lasht Nesha district in Rasht city. Descriptive statistics and exploratory factor analysis were used to analyze the data.Findings-The test results revealed that five categories of factors constitute the primary obstacles to rural women's participation in the villages of Lesht-nesha district. These categories include: the status of social capital, education, health, and social characteristics, explaining a variance value of 17.32% motivation, self-awareness, and cognitive characteristics, explaining a variance value of 16.83% financial and economic status and characteristics, explaining a variance of 12.43% beliefs, community customs, and cultural characteristics, explaining 8.86% of the variance; and justice, gender equality, and institutional-political characteristics, explaining 8.55% of the total variance.Originality/value - Overall, the results indicate that the barriers related to the social capital status, education, health, and social characteristics are more relevant to the participation of rural women.

Purpose- With the physical expansion of cities, some surrounding villages are incorporated into the city as new neighborhoods. These areas, due to their rural backgrounds, differ from newly developed urban neighborhoods in physical, social, economic, and cultural aspects. Social issues, particularly behavioral problems, are one of the challenges in these areas. The neighborhood of Noh-Dareh in Mashhad (with a rural background) faces such a challenge. The Saber Street (located in Noh-Dareh) is the intersection of formal and informal settlements and has a strategic location due to its proximity to the Kuh Park. However, the occurrence of certain inappropriate behaviors has led to a decline in its efficiency and attractiveness for residents. This study aims to propose design recommendations for Saber Street to improve user behavior patterns.Design/methodology/approach- This research is mixed-method (quantitative and qualitative). After collecting library resources (behavior, environment, and perception), user behaviors were identified by using qualitative techniques (observation, behavioral mapping, and interviews). The obtained data were then categorized into conditions, actions, and consequences through qualitative analysis using MaxQDA. Subsequently, based on the typology of existing micro spaces, design recommendations were proposed based on behavioral patterns.Findings- Behaviors in the micro spaces of the mentioned street are often solitary, involving short and unconventional pauses due to the lack of diverse activities, psychological insecurity, inappropriate lighting furniture, and inconvenient climatic conditions. These results are reduced identity and increased insecurity, social damages, and inefficiency of activities.Practical implications- To improve these conditions, it is suggested to enhance urban management control, adopt supervisory policies through the design of frontages, allocate collective activities in the space, organize various events, and provide welfare and comfort infrastructure and equipment.Originality/Value- Considering the presence of social conflicts in neighborhoods with rural backgrounds, such as social damages, activity inefficiency, and ultimately resident dissatisfaction, the innovation of this study lies in identifying the context and causes of inappropriate behavioral patterns in these neighborhoods.

This study takes a rural development perspective to examine the various reasons behind the use of children under 18 years in cocoa farms in Ghana. Using descriptive research, a sample size of 385 cocoa farmers was selected through the multi-stage sampling technique. The analyses included mean, standard deviation, frequency, percentage, and perception index. Although the level of usage of children on cocoa farms was relatively low (74%), majority of the children were involved in nursing of cocoa seedlings (87.8%), digging of holes for seedlings (76.3%), gathering of pods (55.7%) and heaping of pods (53.9%). Farmers involved children on cocoa farms for the following three reasons; to acquire indigenous knowledge of farming patterns (Mean=2.18), it is a way of life to learn their parents' occupation (Mean=2.18), and income source of the household (Mean=2.11). The challenge most farmers face in the use of children for farm activities is the fact that the children do not meet the required strength/energy (Mean=2.48). Policy efforts towards the complete eradication of using children under 18 years on cocoa farms must take into consideration the rural nature of the environments in which cocoa farming takes place in order not for it to backfire as is the case currently.

Purpose- Environmental issues such as the ecological footprint, are the product of intellectual, cultural, and economic factors. Therefore, it is necessary to know the variables effective on the amount of the footprint. The main objective of the present study is to investigate the factors affecting the ecological footprints of the rural settlements in Eslamabad-e Gharb County with a holistic and spatial approach. Design/methodology/approach- The present study is an applied one regarding the objective and descriptive-correlational regarding the methodology. In terms of the data collection method, it is a field survey. The statistical population includes 25% of the villages in Eslamabad-e Gharb County (40 villages). The sample size was determined as 500 households based on the latent and observable variables. The Structural Equation Modeling (SEM) was used to analyze the data. Also, the Geographically Weighted Regression (GWR) was used to investigate the effects of the locative-spatial factors on the research variables.Findings: The results of the Bootstrap test based on the T values indicated that the variables “ownership”, “environmental awareness”, and “consumerism” had the highest t-value and thus, were most correlated. The variable “ownership” in the economic structure is more correlated with the ecological footprint of the researched villages than other independent variables with a statistic of 26.053. overall, the analysis of the direct and inverse correlations in the SEM indicated that the variables “ownership” and “employment” were the most effective factors on the ecological footprint with coefficients of 0.874 and 0.575, while the “conspicuous consumption” was the least effective variable. Also, the results of spatial regression showed that the villages in the northwest of the county were more effective while moving towards the southeast and getting distant from the center reduces the effectiveness of the research variables on the ecological footprint.Research limitations/implications- The high rate of employment in the agricultural sector, the weakness in environmental issues training, and the high rate of livestock and agricultural ownership among a limited number of people have created obstacles on the road to the ecological sustainability of the region.Practical Solutions: Directing the residents of the researched villages towards non-agricultural employment by providing appropriate facilities and support, promoting an environment-friendly lifestyle, and training the residents to increase their environmental awareness by holding workshops in this field.Originality / Value: The present study is the first to use the SEM and spatial approach to investigate the factors effective on the ecological footprints of rural settlements. The results obtained can aid the planners and decision-makers in the field of rural settlements to advance the goals of sustainable development.

Purpose- Climate change has negative effects on the economic, social, and environmental aspects of rural households. Given the importance of the impact of climate change on the livelihoods of rural people, this study was conducted with the aim of reducing vulnerability and increasing resilience and adaptation to these conditions in Mashhad Township.Design/methodology/approach- The statistical population of the study is 11,706 rural households in Mashhad Township, out of which 372 households were selected proportionally by multistage stratified random sampling based on Cochran’s formula. The main tool of the research was a questionnaire whose validity was examined through content validity, structural validity, and reliability by composite reliability and Cronbach’s alpha (a= 0.9). The data were analyzed using SPSS and LISREL software. To examine the fit of the measurement model of the effects of climate change on sustainable livelihoods, the collected data were analyzed using second-order confirmatory factor analysis with LISREL software.Findings- The results of the study showed that the greatest impact of climate change was on financial capital, including income reduction, increased costs and increased product prices, reduced productivity and employment. In addition, the greatest effects of climate change on social capital include were on reduced sense of belonging and increased dependence on government support; on human capital include a were on reduced health levels and quality of life; and on natural capital include a were on reduced land resources and pressure and occurrence of hazards; and on physical capital were on reduced services and facilities for people. The research findings also showed that the goodness-of-fit indices (AGFI=0.91, GFI=0.91), (NNFI=0.91, CFI= 0.92), and (RMSEA= 0.073, X2/df= 2.97) confirmed an excellent fit of the measurement model of the effects of climate change on sustainable livelihoods with observed data. In addition, the results of structural equation modeling showed that the greatest impacts of climate change among livelihood capitals were respectively related to physical, financial, natural, social and human capitals.