Showing 6 results for Rural
M. Arsalanbod,
Volume 4, Issue 4 (1-2001)
Abstract
Consumption of goods and services by households is an important index of their level of economic welfare. State of consumption distribution among households is an important index of equity in economic welfare. In this research, two important dimensions of consumption distribution have been studied: 1) Trend of changes of consumption distribution between Iranian rural and urban households 2) Changes of consumption distribution among households within rural and urban areas in different provinces. Secondary data were used in this research from rural and urban households surveys of expenditure and income for different years.
The results show that the ratio of urban household expenditures over rural household expenditures during 1965-96 has had a decreasing trend, though the gap is still high. To compare consumption expenditure distribution changes within rural and urban areas in different provinces, the data for the two years of 1986 and 1996 have been used. The results show that countrywide the Gini coefficients in 1986 and 1996 in rural areas were higher than those in urban areas in rural areas the coefficients were 0.458 and 0.421 and in urban areas 0.430 and 0.403, respectively, which indicate a decrease of 8.08 and 6.28 percent, respectively. Among the rural areas of 24 provinces, the Gini coefficients of 9 provinces increased and those of 15 provinces decreased from 1986 to 1996. This is while the comparison for the urban areas in the same provinces and for the same period indicates that the Gini coefficient of 6 provinces increased but that of 17 provinces decreased. No change occurred in the case of Tehran Province.
H. Azadi, E. Karami,
Volume 5, Issue 3 (10-2001)
Abstract
Cooperative have always been considered institutions capable of solving major problems in the process of development in different countries. These institutions has evolved along with theories of development from government dependent organization to independent, people centered with the objective of being equal-opportunity systems for all members in order to be responsive to current goals of development. The aim of the present research was to determine the level of success in mechanized companies in Fars Province (12 Mechanized Companies, 24 Rural Cooperatives and 8 Production Cooperatives) in achieving development goals through a survey research.
The findings indicated that production cooperatives were more successful in promoting farmers' income and participation of members in community activities, increasing equity and farmers' work related welfare while mechanized companies had more achievements in flexibility and participation of members in making decisions regarding farming activities and in terms of payment to farmers. In other words, production cooperatives have been more successful in achieving development goals (increasing income, participation, and work related welfare and decreasing inequity). Mechanized companies rank a position in the middle of the success scale, but rural cooperatives had the lowest success level in achieving development goals.
A. A. Barati, J. Mir Mohammad Sadeghi, A. Khatoonabadi,
Volume 8, Issue 2 (7-2004)
Abstract
Considering the population growth and limitation of expansion in cultivation areas, employment in non-agricultural jobs in rural areas is inevitable. The purpose of this study is to investigate the factors affecting the supply of labor of the rural families on non-agricultural jobs in the rural areas. A sample of 300 families from rural areas of the Ghoochan Township in 2000-2001 was studied. The data were collected through interviews and questionnaires. The analysis used a multivariable regression equation.
The results showed that: 1. The wage level of the non-agricultural experience of the person had positive effect on the supply of labors to non-agricultural jobs. 2. However, this effect was negative for the number of days the person worked on farm. Finally, since wages earned from non-agricultural jobs was higher than that of agricultural jobs. Therefore, it is suggested that for the purpose of increasing the income of rural people, non-agricultural jobs in rural areas be facilitated and encouraged
M. N. Gholami-Rouchi, J. M. Sadeghi, A. Dehghani,
Volume 9, Issue 1 (4-2005)
Abstract
This research was conducted to measure the total factor productivity (TFP) of the rural small industries in Isfahan province comprising six types of industries: food, textile, metal, non-metal mineral, chemical, and cellulose. Among the 166 rural small industries sponsored by Jihad-Agriculture Organization of Isfahan in 2001(1380), 60 plants were selected. Cross-section information collected from the 60 plants by a questionnaire in that year confirmed the body of data for this study. The distribution of the types of the 60 selected plants followed the distribution of the types in the plant population. The analytical part of this research consisted of two sections. In the first section, the TFP of the rural small industries was established by applying Cobb-Douglas production function in which the value of the plant production was the dependent variable and the investment costs, total hours of labor, costs of raw materials, and the costs of energy and water were the independent variables. Factors affecting TFP were analyzed in the second section. The estimated coefficients of the first section and the actual data of the variables, were used to calculate the TFP for each plant. Then, another regression model was worked out in which the calculated TFPs were the dependent variable. The independent variables included the mean of the number of the employees' children, the percentage of the production employees with at least primary school level of education, annual number of the off days, dummy variable for the members of the cooperative association, and a few other variables.
The results of the first section showed that the TFP of food industries was higher than that of other types of industries and there was no significant difference between the TFP of textile, metal, non metal mineral, chemical and cellulose industries. The results of the analysis for determining the factors affecting the TFP, showed that the existence of a research section in the plant, the insurance of the employees and the mean of the number of employees' children had a positive effect on the TFP. But, the level of the education of the production workers, the area of the plant buildings, and the number of the days off in plant had negative effects.
A Amini, M Shahsavan, A Zeinal Hamedani,
Volume 12, Issue 46 (1-2009)
Abstract
Women as extension help-agents could play an important role in rural extension programs. This study was aimed at evaluating the success of women as extension help-agents, and factors affecting their success in Isfahan province, Iran. The data was randomly collected from 156 extension help-agents, using Cochran formula. The validity and reliability of constructed questioners were checked, using Cronbach Alfa and K.M.O. criteria. The results showed that 6.5 percent of the agents gained a success score of more than or equal to the average score, 50.3 percent equal to the average score, and 43.2 percent gained less than the average success score. The Effective factors are categorized as the degree of their familiarity with the problems of the population, the degree of their involvement in extension-educational programs, and factors such as their access to rural libraries, financial and occupational background and contribution to community and team work. According to the regression analysis results, participation activities of the villagers, financial status of the help-agents and educational programs provide most influential factors for successful extension programs.
A.m Amini, ,
Volume 12, Issue 46 (1-2009)
Abstract
The main purpose of this research is to study the success of rural cooperative companies and evaluate different factors which may influence such a success. For this purpose, sample companies were randomly selected based on multistage and stratification sampling with proportional allocation method,. Finally, 18 rural co-operative companies were studied using questionnaires filled out by 328 ordinary members and 93 members of board of directors and managers of these rural co-operative companies. Inter-organization and intra-organization and structure variables which affected the companies performance and achievement were studied. The findings showed poor performance of these companies. According to the current research, some variables such as membership experience, co-operative structure, co-operative investment, enhancement of member share, education, participation and level of training, awareness (ability) of members have a direct influence on companies' success. The other factors involving function of rural co-operative organization, use of managers’ misuses and abuses in co-operatives have a direct, but negative influence. Share mean value of each member, management experience knowledge and age of people have also indirect positive effect on success and the size has indirect negative influence on co-operative companies .
