Modeling farmers’ decisions on tea varieties in Vietnam: a multinomial logit analysis

Nguyen-Van, Phu; Poiraud, Cyrielle; To‐The, Nguyen

doi:10.1111/agec.12334

Cited by 23 publications

(13 citation statements)

References 45 publications

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“…However, we only discuss average marginal effects which are presented in Table . It is more convenient to interpret the marginal effects on individual probabilities (Nguyen‐Van et al., ). Results indicate that the marginal effects significantly differ across technology choices.…”

Section: Empirical Results and Discussionmentioning

confidence: 99%

Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia

Khonje

Manda²,

Mkandawire

et al. 2018

Agricultural Economics

154

131

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Using plot level panel data and multinomial endogenous switching regression, this article analyzes the adoption and welfare impacts of multiple agricultural technologies in eastern Zambia. We adapt a multinomial endogenous switching/treatment effect regression framework to correct for selection bias and endogeneity originating from both observed and unobserved heterogeneity. Results indicate that joint adoption of multiple agricultural technologies had greater impacts on crop yields, household incomes, and poverty than the adoption of individual components of the technology package. Our findings suggest that efforts aimed at raising household incomes and reducing poverty should focus on promoting the adoption of multiple agricultural technologies through provision of improved support services such as extension and input supply.JEL classifications: C34, O12, O33, Q12, Q16, Q18

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Section: Empirical Results and Discussionmentioning

confidence: 99%

Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia

Khonje

Manda²,

Mkandawire

et al. 2018

Agricultural Economics

154

131

View full text Add to dashboard Cite

show abstract

“…According to Nguyen- Van et al (2017), marginal effects present a better picture and more meaningful results regarding the magnitudes of the impact of individual probabilities. Hence, we are concerned with the marginal effects of variables that influence household heads' decisions to adopt machinery and row planting.…”

Section: Marginal Effects and Average Treatment Effectsmentioning

confidence: 99%

Participation in farmer organizations and adoption of farming technologies among rice farmers in Ghana

Addai

Temoso

Ng’ombe

2021

IJSE

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PurposeThe authors examine the factors influencing membership in farmer organizations (FO) and their effects on the decision to adopt farm technologies by rice farmers in Ghana.Design/methodology/approachThis study uses a farm survey of 900 households from Northern Ghana and a recursive bivariate probit (RBP) model that accounts for selection bias and endogeneity.FindingsThe results indicate that the household head’s decision to adopt machinery and row planting increases by 38.4 and 25.3%, respectively, upon joining a farmer organization. Membership in farmer organization is positively influenced by off-farm income, asset value, farmer organization location and farmer location in Upper West region but negatively by males, age and total livestock units owned. Machinery adoption is positively influenced by membership in farmer organizations and respondent being male but negatively influenced by the years of schooling, farm size, farm distance and location of a farmer in Ghana's Upper East and West regions. Similarly, row planting adoption is positively influenced by membership in farmers' organization but adversely by farm size, farm distance and a farmer's location in Upper East region of Ghana.Research limitations/implicationsIt can be concluded that membership in farmers' organizations significantly impacts farm household head’s decision to adopt machinery and row planting in rice production, which potentially enhance crop productivity.Practical implicationsThese results show the importance of agricultural stakeholders in encouraging the formation and strengthening of farmer organizations to support the adoption of modern farming technologies.Originality/valueDeveloping literature has demonstrated that farmer organizations promote the adoption of agricultural innovations. However, most of these studies have concentrated on conventional agricultural innovations and have used methods that fail to account for potential selection bias. This paper fills this important gap.

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“…The multinomial logit selection in equation ( 3) estimates coefficients and marginal effects of factors explaining adoption of ISFM technologies. The discussion is, however, based only on the marginal effects (Table 3) since it is more convenient to interpret them [48]. From the results in Table 3, the marginal effects significantly differ across ISFM technology choices.…”

Section: Discussionmentioning

confidence: 99%

Impacts of the complementarity of Integrated Soil Fertility Management (ISFM) technologies on multiple dimensions of food (in)security and household resilience: evidence from Ghana

Jinbaani

Wale

2022

Preprint

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BackgroundClimate variability and declining soil fertility continue to affect agricultural productivity and food security in Sub-Saharan Africa. Food insecurity is much prevalent among crop farmers compared to cash crop and non-farm workers in Ghana. However, limited empirical evidence exists on the role of complementary technologies in improving household food security and resilience. MethodsEmploying two rounds of nationally representative data from Ghana and multinomial endogenous switching regression framework, the study evaluates the effects of adoption of the combinations of ISFM technologies on all the four dimensions of food security and household resilience. ResultsThe results showed that all the ISFM choices positively and significantly affect all the dimensions of food security and household resilience. Joint adoption of the complete ISFM package gives the highest gain in all the dimensions of food security and household resilience, except value of household physical assets. ConclusionsRural development interventions have to focus on the adoption of the complete ISFM package since the adoption of any single ISFM technology or a combination of any two ISFM technologies is associated with minimal impact in terms of household food security and resilience. There should be a consistent awareness creation among policy makers and farmers that multiple technology adoption meets the food security needs of farmers better than adoption of any single improved technology. Input subsidy programs should include organic fertilizers in order to optimize program benefits on all the four dimensions of food security.

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Modeling farmers’ decisions on tea varieties in Vietnam: a multinomial logit analysis

Cited by 23 publications

References 45 publications

Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia

Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia

Participation in farmer organizations and adoption of farming technologies among rice farmers in Ghana

Impacts of the complementarity of Integrated Soil Fertility Management (ISFM) technologies on multiple dimensions of food (in)security and household resilience: evidence from Ghana

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