This study was designed to evaluate the role of organic farming in improving food security from the perspective of farmers in the Fars province of Iran. The research method was practical in terms of its purpose, non-experimental in terms of the data collection, and correlational in terms of the data analysis. The study population comprised 622 farmers who were members of plant pathology clinics in Fars province of which 187 of them were selected as the sample size by the use of Cochran’s formula through a proportional stratified sampling method. The research tool was a questionnaire for which validity was confirmed by experts and its reliability by Cronbach’s alpha coefficient (0.704–0.982). The results revealed that farmers (45.5%) viewed their food security at an average level. The estimated standardized regression coefficients in the model showed that, from the farmers’ perspective, the most effective capabilities in improving food security were technical (0.747), health and safety (0.735), and the optimization of production (0.628), respectively.

The purpose of the present study was to design a model for the development of sustainable sports tourism based on rural sports and local games (RSLG) in Mazandaran province of Iran. The study was conducted using a mixed-method comprised of qualitative and quantitative phases. The qualitative phase utilized grounded theory and data were collected through semi-structured interviews. The collected data were analyzed in three stages of open, axial and selective coding and a model was developed based on the derived codes. The findings indicated that sustainable sports tourism development based on RSLG is influenced by six different categories: ‘policy-making’, ‘marketing’, ‘finance and support’, ‘religious and social participation’, ‘infrastructure’ and ‘management and planning’. In the quantitative phase, partial least squares structural equation modelling (PLS-SEM) was used to validate the model. The statistical population of this phase included the organizational staff operating in the fields of tourism and sport, organized coaches, referees and athletes of rural sports in Mazandaran. The findings of this phase revealed that the categories of ‘policy-making’ (0.461), ‘marketing’ (0.351), ‘financial and supporting’ (0.303), ‘religious and social participation’ (0.318), ‘infrastructure’ (0.166) and ‘management and planning’ (0.506) affect the independent variable sustainable sports tourism development based on RSLG.

Purpose: Foreign Direct Investment (FDI) is an important means of boosting the agricultural sectors of developing economies. The first necessary step to formulate effective public policies to encourage agricultural FDI inflow to a host country is to develop a comprehensive understanding of the main determinants of FDI inflow to the agricultural sector, which is the main objective of the present study.Design/methodology/approach: In view of this, we take a comprehensive approach to exploring the macroeconomic and institutional determinants of FDI inflow to the agricultural sector by examining a large panel data set on agricultural FDI inflows of 37 countries, investigating both groups of developed and developing countries, incorporating a large list of potentially relevant macroeconomic and institutional variables, and applying panel-data econometric models and estimation structures, including pooled, fixed-effects and random-effects regression models.Findings: The general pattern of our findings implies that the degree of openness of an economy has a negative effect on FDI inflows to agricultural sectors, suggesting that the higher the degree of openness in an economy, the lower the level of agricultural protection against foreign trade and imports, and thus the less incentive for FDI to inflow to the agricultural sector of the economy. Additionally, our results show that economic growth (as an indicator of the rate of market-size growth in the host economy) and per-capita real GDP (as an indicator of the standard of living in the host country) are both positively related to FDI inflows to agricultural sectors. Our other results suggest that agricultural FDI tends to flow more to developing countries in general and more to those with higher standards of living and income levels in particular.Originality/value: FDI inflow has not received much attention with respect to the identification of its main determinants in the context of agricultural sectors. Additionally, there are very few panel-data studies on the determinants of FDI, and even more surprisingly, there are no such studies on the main determinants of FDI inflow to the agricultural sector. We have taken a comprehensive approach by studying FDI inflow variations across countries as well as over time.

Considering the cooperative sector capabilities in organizing rural people, primarily focusing on empowering manpower and adopting a sustainable approach to basic resources (water and soil), village-cooperative initiative has emerged as a new concept by registering and forming 4565 new cooperatives in Iran’s rural regions. The present research which was conducted in two qualitative and quantitative phases designed a new model by integrating the new village-cooperative approach along with the sustainable livelihood’s framework theory. The study sample of the qualitative phase included 32 theorists of the village-cooperative initiative. To analyze the data, the grounded theory and three-step process of open coding, axial coding and selective coding were used using MAXqda18 software. Finally, a paradigm model was designed whose most important components included causal conditions (shocks and seasonal conditions), contextual conditions (trends and governmental support), intervening conditions (control and market development), central categories (sustainable livelihoods with a village- cooperative approach), strategies (coping and adaptation) and consequences (creating jobs, establishing cooperatives, supporting smart agriculture and strengthening social capital). The statistical quantitative phase population consisted of cooperatives members in the village-cooperative initiative (N=405), being selected through Cochran's formula with proportional sampling method summing up to198 people from 5 provinces. The data collection tool was a researcher-made questionnaire whose validity and reliability were confirmed. The Bayesian structural equation modeling was used to analyze the data. The results of the research quantitative phase showed that the variables of financial capital, physical capital, social capital, coping and adaptation strategies, human capital and natural capital were the most effective variables on village-cooperative initiative members’ sustainable livelihoods, respectively. Finally, a hybrid model based on the qualitative and quantitative studies was designed and suggestions were made; for instance, the creation of suitable grounds for off-farm activities such as rural industries and ecotourism.