Modeling fresh organic produce consumption with scanner data: a generalized double hurdle model approach

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.

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Environmental Disclosure Modelling in a Developing Economy: Does Corporate Governance Matter? A Double Hurdle Regression Approach

International Journal of Financial Research ◽

10.5430/ijfr.v12n4p111 ◽

2021 ◽

Vol 12 (4) ◽

pp. 111

Author(s):

Gbenga Ekundayo ◽

Ndubuisi Jeffery Jamani ◽

Festus Odhigu

Keyword(s):

Corporate Governance ◽

Environmental Information ◽

Information Criteria ◽

Annual Reports ◽

Hurdle Model ◽

Developing Economy ◽

Significant Determinant ◽

Environmental Disclosure ◽

Double Hurdle Model ◽

Double Hurdle

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.

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Health-related factors on tobacco consumption in Turkey

Ciência Rural ◽

10.1590/0103-8478cr20190578 ◽

2020 ◽

Vol 50 (5) ◽

Author(s):

Nuray Demir ◽

Abdulbaki Bilgic ◽

Okan Demir ◽

Adem Aksoy

Keyword(s):

Prevalence Rate ◽

Statistical Tests ◽

Tobacco Consumption ◽

Hurdle Model ◽

Related Factors ◽

Consumption Level ◽

Double Hurdle Model ◽

Hyperbolic Sine ◽

Health Related ◽

Double Hurdle

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.

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