scholarly journals A Double-Hurdle Model of Healthcare Expenditures across Income Quintiles and Family Size: New Insights from a Household Survey

2021 ◽  
Vol 14 (6) ◽  
pp. 246
Author(s):  
Ahmad Reshad Osmani ◽  
Albert Okunade
Keyword(s):  
Household Head ◽  
Household Survey ◽  
Healthcare Spending ◽  
Hurdle Model ◽  
Healthcare Expenditures ◽  
Male And Female ◽  
Double Hurdle Model ◽  
Double Hurdle ◽  
Household Heads ◽  
The Impact

The decision-making processes and outcomes of male and female household heads differ due to gender-based differences in preferences. In this paper, we assess the impact of this heterogeneity on household healthcare consumption in Thailand. Past studies modeling healthcare expenditures using household survey data used a gender dummy variable in regression models to control for household gender headship at the household level. Due to the endogeneity and self-selection bias in the past modelling approach, we separately modeled health expenditures for male and female household head decision makers. Using a household dataset from an earlier work, this study finds, using the double-hurdle model with dependent errors, that out-of-pocket health care spending tends to behave like a necessity across the income quintiles, household sizes, and differently for the separately modeled household gender heads. Moreover, male and female headed households responded differently to a major economic shock when adjusting household healthcare spending.

scholarly journals The impact of social grant dependency on smallholder maize producers’ market participation in South Africa: Application of the double-hurdle model

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Sikhulumile Sinyolo ◽  
Maxwell Mudhara ◽  
Edilegnaw Wale
Keyword(s):  
South Africa ◽  
Rural Areas ◽  
Smallholder Farmers ◽  
Hurdle Model ◽  
Market Participation ◽  
Double Hurdle Model ◽  
Social Grants ◽  
Double Hurdle ◽  
Social Grant ◽  
The Impact

Background: Social grants have become an increasingly popular means of improving the welfare of poor households in South Africa and beyond. While the goals of these transfers are to alleviate current poverty as well as to improve human capital capacity, they also have unintended effects, positive or negative, on beneficiary households. A question that has not been adequately addressed in the literature is the role that social grants play in the efforts to commercialise smallholder farming.Aim: The aim of this study was to examine the impact of social grant dependency on the incentives of smallholder maize producers to participate in the market.Setting: The study was done in the rural areas of four districts (Harry Gwala, Umzinyathi, Umkhanyakude and Uthukela) in the KwaZulu-Natal province, South Africa.Methods: The study adopted a quantitative research design. A total of 984 households were randomly selected from the four districts, of which 774 had planted maize in the previous season. The analysis was done on the 774 farmers who had planted maize. The double-hurdle model was used for statistical analysis.Results: The results show a negative association between social grant dependency and market participation, suggesting that social grant-dependent households are more subsistent, producing less marketable surplus. Moreover, households with access to social grants sold less quantities of maize in the market, indicating reduced selling incentives.Conclusion: The study indicates that social grants reduce the incentives of smallholder farmers to commercialise their production activities. The results suggest that, while policies aimed at reducing transaction costs would increase smallholder market participation, attention should be paid on how to reduce social grants’ dis-incentive effects. To reduce spill over effects to unintended household members, the study recommends offering part of the grant as ‘in-kind support’, which is specific to the intended individual beneficiary.

scholarly journals Adoption of On-Farm Plantation Forestry by Smallholder Farmers in Uganda

2016 ◽  
Vol 9 (2) ◽  
pp. 153 ◽  
Author(s):  
I. Kiyingi ◽  
A. Edriss ◽  
M. Phiri ◽  
M. Buyinza ◽  
H. Agaba
Keyword(s):  
Smallholder Farmers ◽  
Household Head ◽  
Skills Training ◽  
Plantation Forestry ◽  
Hurdle Model ◽  
Farm Forestry ◽  
Double Hurdle Model ◽  
Factors Influencing ◽  
Double Hurdle ◽  
On Farm

<p>The study assessed the factors influencing adoption and intensity of adoption of on-farm plantation forestry by comparing results from a censored Tobit model and a Double-hurdle model. Analysis indicated that determinants of adoption and intensity of adoption of on-farm plantation forestry are different, thus indicating a double-hurdle process. Results from the double-hurdle model indicated that size of landholding, secondary school education,  forestry skills training, extension services and farmers’ perceptions significantly explain the variation in the decision to invest in on-farm plantation forestry. On the other hand, gender of household head and size of landholding  influenced the intensity of adoption. This study highlights some of the areas that should be considered in developing adoption strategies for on-farm plantation forestry. It also highlights the importance of farmers’ perceptions in influencing adoption of farm forestry. The study suggests that since the factors influencing adoption and intensity of farm forestry adoption are made separately, it is important that both stages are considered in developing adoption strategies for farm forestry.</p>

scholarly journals Farmers’ technology adoption decision and use intensity in the agricultural sector: Case of Masha Woreda (Double Hurdle Model)

2021 ◽  
Vol 9 (1) ◽  
pp. 51-60
Author(s):  
Amsalu Dachito ◽  
Alebachew Angelo
Keyword(s):  
Technology Adoption ◽  
Sex Education ◽  
Household Head ◽  
Farm Households ◽  
Hurdle Model ◽  
Small Farm ◽  
Adoption Decision ◽  
Double Hurdle Model ◽  
Inferential Analysis ◽  
Double Hurdle

This research aimed to critically analyze the determinants of technology adoption and the use intensity by small farm households in the study area (Masha District). Six kebeles were randomly selected from the district, and 251 sample households were proportionally and randomly identified from the selected kebeles. The data collected from the sample households have been analyzed using both descriptive as well as inferential analysis. For inferential analysis, the Double Hurdle Model was adopted to estimate the technology adoption decision as well as use intensity of small farm households in the study area.  The findings show that technology adoption decisions were associated with household-specific characteristics such as sex, education, extension, and family size, increasing the likelihood of technology adoption. In contrast, the age of the household head has a negative contribution to it. On the other hand, institutional factors such as access to extension service and access to credit facilities have a significant impact where the latter has contributed negatively to the farmers’ decision regarding technology adoption.

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

2022 ◽  
Author(s):  
Aman Dassa ◽  
Abera Ifa ◽  
Efa Gobena
Keyword(s):  
Inorganic Fertilizer ◽  
Farm Income ◽  
Hurdle Model ◽  
Cereal Crop ◽  
Fertilizer Use ◽  
Explanatory Variables ◽  
Double Hurdle Model ◽  
Small Holders ◽  
Double Hurdle ◽  
Land Size

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.

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

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.

scholarly journals Health-related factors on tobacco consumption in Turkey

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.

scholarly journals Adoption of improved processing technology among African locust bean processors in south-west, Nigeria

2020 ◽  
Vol 10 (1) ◽  
pp. 123-128
Author(s):  
A Kolapo ◽  
OE Omopariola ◽  
AO Adeoye ◽  
AJ Kolapo
Keyword(s):  
Sampling Procedure ◽  
Processing Technology ◽  
Institutional Factors ◽  
Hurdle Model ◽  
Access To Credit ◽  
Double Hurdle Model ◽  
South West ◽  
Multi Stage ◽  
Locust Bean ◽  
Double Hurdle

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

Sign in / Sign up

Export Citation Format

Share Document