scholarly journals Determinants of Inorganic Fertilizer Use Intensity on Cereal Crop among Smallholder Farmers: The Case of Toke Kutaye District, West Shewa Zone, Oromia National Regional State, Ethiopia

Author(s):  
Aman Dassa ◽  
Abera Ifa ◽  
Efa Gobena

Abstract The study was aimed to analysis determinants of inorganic fertilizer use intensity on cereal crops among small holders in Toke Kutaye District, West Shewa Zone, Ethiopia. Correctional data were collected from 156 respondents using two stage random sampling methods. Data analyses were carried out using descriptive statistics and Double hurdle model. Result of the first hurdle reveals that out of twelve explanatory variables Sex ,Education, Off/non-farm income, Land size and Improved seed were determine positively whereas Age and Distance from nearest market determine small holders use of inorganic fertilizer negatively. The result of second stage of double hurdle model indicate that, out of twelve explanatory variables Sex, family size and Land size were positively affect extent (intensity) of inorganic fertilizer use whereas Age and Distance of household from nearest market determine use intensity negatively. Therefore, these results implied that there is a room to increase inorganic fertilizer use intensity on cereal crop productions. Hence, Farmers capacity to purchase this input beginning from lower income farmers to model farmers should be acknowledged; and should be designed the means to address those who have no ability to use inorganic fertilizer in their own farm through diverse development interventions.

2020 ◽  
Vol 9 (2) ◽  
pp. 46
Author(s):  
Muhammed Shako Hiko

The adoption of inorganic fertilizer such as NPS which is concerned by development clients and government is different from one farmer to another farmer and this makes productivity of agricultural crops to vary from one plot to another plot due to socio-economic, institutional and other factors. Therefore, this study was intended to know the socio-economic factors that significantly affect utilization of inorganic fertilizer NPS. Primary data was collected from 201 sampled households of selected districts. Secondary data was collected from stakeholders related with production of sorghum and inorganic fertilizer NPS in the study areas. In the sampling procedure, two stage simple random sampling was used. In the first stage, kebeles were randomly taken from total kebeles in the two districts. In the second stage, households were randomly selected from the selected kebeles. Data was analyzed using descriptive, inferential statistics and econometric models methods of data analysis. In econometric models Double Hurdle model was use to know factors affect adoption decision of inorganic fertilizer NPS and intensity use of inorganic fertilizer NPS. Double Hurdle model result confirms that district of the household, education level, family size, extension visit, expectation of the coming rainfall by the household, number of farm plot owned, total farm land owned and off/non-farm income earned by the household significantly affect adoption decision inorganic fertilizer NPS. Double hurdle model result also reveals that, district of the household, livestock holding, number of farm plot owned, participation on agricultural training by the household significantly affect intensity use of inorganic fertilizer NPS. Government and concerned stakeholders should give attention on these significant socio-economic factors so that utilization inorganic fertilizer can be improved to sorghum crop productivity.


2013 ◽  
Vol 4 (2) ◽  
pp. 79-100 ◽  
Author(s):  
Brad Humphreys

Characteristics of households who participate in gambling markets in the US, and the determinants of household expenditure on gambling, are investigated using data from the Consumer Expenditure Survey (CEX). I estimate empirical models of participation in gambling markets and gambling expenditure using Tobit and double hurdle estimators. A likelihood ratio test rejects Tobit in favor of the double hurdle model. The double hurdle model estimates show that key explanatory variables affect participation and expenditure with different signs. Tobit, which is widely used in the literature, forces the signs to be identical, calling into question empirical regularities reported in this literature.


2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Benjamin Tetteh Anang ◽  
Richard W. N. Yeboah

Income diversification by farm households has gained the attention of researchers and policy makers due to its commonness especially in developing countries. This study sought to empirically investigate the determinants of off-farm income among smallholder farmers in northern Ghana using a sample of 300 rice farmers. A double-hurdle model was used to determine the factors influencing participation in off-farm work as well as the predictors of actual amounts earned from working outside the farm. The results revealed that gender, farming experience, years of education, and access to credit are the factors determining participation in off-farm work while farming experience, years of education, and geographical location are the determinants of income from off-farm work. The paper concludes that measures to enhance rural income diversification will spur the rural economy and these measures should seek to address the problem of low level of formal education in rural areas.


2021 ◽  
Vol 12 (4) ◽  
pp. 111
Author(s):  
Gbenga Ekundayo ◽  
Ndubuisi Jeffery Jamani ◽  
Festus Odhigu

The paper examines environmental Disclosure Modelling in a Developing Economy using the Craigg double hurdle model and controlling for the role of corporate governance. This study employs the ex-post research design and investigates firm’s environmental disclosures in Nigeria, by controlling for corporate governance characteristics. The study employs a sample of 35 non-financial firms listed on the Nigerian Stock Exchange using the simple random sampling technique. Secondary data retrieved from the financial statements of the selected companies was used for the study. Both the Tobit and double-hurdle models were estimated but based on the Bayesian and Akaike’s information criteria for model selection, the double-hurdle model is preferred. The result reveals that though Board size is not a significant determinant of probability to disclose environmental information in annual reports (-0.0408, p=0.175), it is a significant determinant of the extent of environmental disclosure reports (0.1943, p=0.00) given that a firm has decided to disclose. Board independence is a significant determinant of both probability to disclose environmental information and extent of disclosure (-2.2373, p=0.00) with a negative coefficient. The Board gender diversity is not a significant determinant of probability to disclose environmental information in annual reports (-0.60076, p=0.461), it is a nevertheless a significant determinant of the extent of environmental disclosure reports (-3.5913, p=0.00) when firms then decide to disclose. Institutional ownership turns out to be a significant determinant of both the probability to disclose environmental information and extent of disclosure (0.0273, p=0.00) when firms choose to disclose. Finally, the truncated model results also reveals that though managerial ownership is not a significant determinant of probability to disclose environmental information in annual reports (-0.01352, p=0.148), it is nevertheless a significant determinant of the extent of environmental disclosure reports (-0.0206, p=0.001) when firms then decide to disclose.


2020 ◽  
Vol 50 (5) ◽  
Author(s):  
Nuray Demir ◽  
Abdulbaki Bilgic ◽  
Okan Demir ◽  
Adem Aksoy

ABSTRACT: In this study, we analyzed the role of individuals’ health-related factors along with socio-demographic and economic characteristics on both the likelihood of tobacco consumption and quantity demanded levels using two competitive econometric methods: double hurdle model versus hyperbolic sine double-hurdle model. Statistical tests confirmed the dependency errors between the prevalence rate of smoking and the consumption level, whilst the inverse-hyperbolic sine double-hurdle model data fits best in describing the normalization of the data and the two data generating processes: the probability and consumption levels of cigarettes. Also, the variance-covariance of the selected model as a function of additional exogenous variables are confirmed, while the error terms between the likelihood to smoke and the consumption levels are positive and statistically significant, indicating that holding control variables fixed, the uncontrolled variables out of the system that increase the prevalence rate of smoking also boost the consumption level, or vice versa. Many individual disease variables are significant in both equations, breaking new grounds in literature for identifying how both the prevalence rate of smoking and amount have shaped.


Author(s):  
A Kolapo ◽  
OE Omopariola ◽  
AO Adeoye ◽  
AJ Kolapo

The paper investigated the effect of socio-economic and institutional factors on the adoption of improved locust bean processing technology in South-West, Nigeria. Specifically, the study described the socio-economic characteristics of the locust bean processors, examines the level of awareness and adoption of the improved locust bean processing technology in the study area and determines the effect of socio-economic and institutional factors on the adoption and intensity of use of improved locust bean processing technology in the study area. A multi-stage sampling procedure was used to select 360 respondents used for the study. The data were analyzed using descriptive statistics and the Cragg’s (double-hurdle) model. The result of the study showed that majority (84%) of the locust bean processors were female with an average age of 48 (±11.36) years. Majority (97%) of the respondents were married with an average household size of 8.25 (±4.32) persons. The result showed that 44.2% were aware while 55.8% were not aware of the technology in the study area. The results from the Cragg’s double hurdle model show that in the first hurdle, age, experience, access to credit and awareness positively influenced the decision to adopt the improved locust bean processing technology while in the second hurdle, education and income positively influenced the intensity of the use of the improved locust bean processing technology. It is therefore recommended that Relevant stakeholders, agencies and government should made available credit facilities which will enable the locust bean processors acquired the technology in no distant time. Int. J. Agril. Res. Innov. Tech. 10(1): 123-128, June 2020


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