Showing 5 results for Tobit Model
Volume 0, Issue 0 (1-2024)
Abstract
Livelihood diversification is the key to a sustainable rural economy. The study aimed to assess livelihood diversity, determinants, and constraints among the scheduled caste families in Beraberia village of North 24 Parganas, West Bengal to plan a foolproof developmental program. Simple random sampling was followed to select a sample size 108 from the study area. The Simpson livelihood index formula was used to assess the level of livelihood diversification, and the Tobit model was used to find the determinants of the livelihood diversity index. A preferential ranking technique was followed to analyze the constraints in livelihood diversification. The most common livelihood activity in the study was agriculture, with an income contribution of 60.72%. Around 66 percent of the households had a medium to high livelihood diversity index. The Tobit regression model result showed that income, economic motivation, and access to credit were the significant determinants of livelihood diversification in the study area. At the same time, the family dependency ratio negatively influenced the Diversification index. Further, the constraint analysis in livelihood diversification revealed that lack of capital (RBQ 0.77) and livelihood assets (0.75) were significant impediments to livelihood diversification. The study suggests that government bodies must prioritize credit access and capacity building among SC families in rural areas to create more profitable and sustainable livelihoods among the weaker sections of society.
Seyed Abolghasem Mortazavi, Ali Reza Alipour, Mehdi Ghorbani,
Volume 16, Issue 2 (8-2016)
Abstract
In the present study, by using information of 150 wheat beneficiaries in Zarghan, Fars region collected in the 2010-2011 crop year, the most important factors affecting the sub-vector water efficiency in wheat production were analyzed. In order to measure the water use efficiency, data envelopment analysis was used. Afterward, the most important factors affecting sub-vector water efficiency were identified by using radial basis function (RBF) artificial neural network. Then, the most important factors were analyzed by applying the Tobit model. The results of neural network model showed that variables yield cultivated area, gross income per hectare and time interval between each two subsequent irrigations have been the most important factors affecting sub-vector water use efficiency. In addition, results from Tobit model suggested the positive impact of variables yield cultivated area and gross income per hectare and negative impact of time interval between each two subsequent irrigations on water use efficiency. Finally, paying more attention to the land integration for increasing sub-vector water efficiency was proposed.
Volume 18, Issue 6 (11-2016)
Abstract
As one of the oldest sectors of economy, agriculture has had an important role in the supply of food for people and raw materials .In this study, the factors affecting the Iranian government support of agricultural products market has been investigated for the period of 1989-2011. In this regard, using the theory of efficient redistribution and panel data of 12 selected agricultural products including wheat, barley, rice, cotton, pistachio, apples, dates, beets, eggs, milk, red and poultry meat, the rationale for government intervention in the agricultural sector has been modeled in the Panel Tobit model framework and is then estimated. The results of this study indicated that the elasticity of supply and demand, the share of total exports of agricultural goods, the real income of farmers, number of farmers, the share of total agricultural output, and concentration of production are the factors that are directly related to the amount of agriculture support, such that, with the increase in each of these variables, the amount of government support has increased. However, the results showed no significant relation between the import variables (the products which have similar domestic production) and also the number of agricultural cooperatives and organizations with the level of government support.
Dr Naser Ali Azimi, Dr Mojgan Samandar Ali Eshtehardi, Mrs. Elham Fakhremoosavi,
Volume 21, Issue 2 (6-2021)
Abstract
Today, paying attention to innovation in achieving economic growth and development is of great importance for researchers and policymakers. Thus, this study investigates the efficiency of the national innovation system of Iran in comparison with the countries subject to the 2046 Vision of Iran as well as China and South Korea (as two successful countries in technology catching-up policies). The study uses a two-stage Data Envelopment Analysis (DEA) over the period 2011-2016. Moreover, a Tobit model is employed to study the impact of environmental factors on the efficiency of the national innovation system. Findings indicate that Iran's national innovation system is inefficient. Although the efficiency trend in the stage of creating inventions and originalities shows a positive slope, when it enters the commercialization stage, the system operates very weekly. To increase the efficiency of the national innovation system, improving the governance indicators and university-industry collaboration are among the most effective policies proposed in this research.
Volume 22, Issue 2 (3-2020)
Abstract
Adoption of improved rice varieties is important for improving rice yield in Benin. This study employed a double-hurdle model to assess factors influencing the adoption of improved rice varieties using a cross-sectional dataset of 360 farmers randomly selected in the municipality of Malanville in Benin. Estimation of the first hurdle indicates that education, frequency of extension visits, frequency of farmer-based organization meetings, access to credit, participation in market, off-farm activities, fertilizer use, perception of soil fertility, access to media and ownership of mobile phone play significant roles in adoption decision-making process in the municipality of Malanville. The results from the second hurdle show that the land under improved rice is positively associated with education, rice-farming experience, credit, off-farm activities, and soil fertility. These findings suggest a strong institutional support measures for promoting the improved rice varieties in Benin.
