Adoption of improved chickpea varieties: KRIBHCO experience in tribal region of Gujarat, India

Shiyani, R. L.; Joshi, P. K.; Asokan, M; Bantilan, M C S

doi:10.1111/j.1574-0862.2002.tb00102.x

Cited by 41 publications

(17 citation statements)

References 8 publications

(6 reference statements)

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“…For dichotomous dependent variables, probit and logit models are commonly used. When data on the level of use of the technology is available, the censored regression model, also called the Tobit model (Maddala, 1983;Tobin, 1958) has also been commonly used for modeling adoption behavior (e.g., Adesina and Zinnah, 1993;Kristjanson et al, 2005;Shiyani et al, 2002). The key underlying assumption for a Tobit specification is that farmers with a positive desired demand have unconstrained access to the technology.…”

Section: Constrained Technology Adoptionmentioning

confidence: 99%

Technology adoption under seed access constraints and the economic impacts of improved pigeonpea varieties in Tanzania

Shiferaw

Kebede

You

2008

Agricultural Economics

161

128

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Dry-land legumes, well adapted to drought-prone areas, have largely been neglected in the past despite the good opportunities they offer for income growth and food (and nutritional) security for the poor. This study evaluated the adoption and impact of two farmer and market-preferred and disease-resistant pigeonpea varieties that were developed and promoted in semi-arid Tanzania. The new varieties were resistant to fusarium wilt, a fungal disease devastating the crop. However, farmers wanting to adopt new varieties did not adopt due to seed access constraints and under-developed seed delivery systems. Adoption of new varieties is therefore analyzed using an augmented double hurdle model that allows estimating variety adoption conditional on seed access thresholds accounting for the additional information on sample separation. The study identifies the crucial role of seed access (local supply), extension, education, participatory decision making, capital, and household assets in determining adoption. The social economic benefits of the technology and policies for improved seed access were further analyzed using the extended economic surplus method (DREAM model). Even under restrictive assumptions, overall discounted benefits were found to be quite attractive, indicating the need for additional efforts to scale-up the success story. Analysis of changes in research benefits from relaxing the seed access constraint showed that net gains would increase by up to 30% if farmer access to improved seeds can be assured. Smallholder farmers are the major beneficiaries along with consumers and rural net-buyers who gain from productivity-induced lower market prices. Copyright (c) 2008 International Association of Agricultural Economists.

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Section: Constrained Technology Adoptionmentioning

confidence: 99%

Technology adoption under seed access constraints and the economic impacts of improved pigeonpea varieties in Tanzania

Shiferaw

Kebede

You

2008

Agricultural Economics

161

128

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“…These are typically OLS, probit or tobit regressions of technology adoption on variables representing: (a) socio-economic circumstances of farmers -such as, farm size, tenurial status, farmers' education level, farming experience, family size and gender; and (b) institutional and bio-physical factors -such as irrigation, credit, extension contact, membership in organisations and distance to market ⁄ bus stop ⁄ extension office (e.g. Hossain, 1989;Nkamleu and Adesina, 2000;Shiyani et al, 2002;Floyd et al, 2003;Ransom et al, 2003;Asfaw and Admassie, 2004). Few of these studies outline the implicit theoretical underpinning of such ad hoc modelling (e.g.…”

Section: Studies Analysing Determinants Of Technology Adoptionmentioning

confidence: 99%

Production Efficiency of Jasmine Rice Producers in Northern and North‐eastern Thailand

Rahman¹,

Wiboonpongse²,

Sriboonchitta³

et al. 2009

J Agricultural Economics

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The paper jointly evaluates the determinants of switching to Jasmine rice and its productivity while allowing for production inefficiency at the level of individual producers. Model diagnostics reveal that serious selection bias exists, justifying use of a sample selection framework in stochastic frontier models. Results from the probit variety selection equation reveal that gross return (mainly powered by significantly higher Jasmine rice price), access to irrigation and education are the important determinants of choosing Jasmine rice. Results from the stochastic production frontier reveal that land, irrigation and fertilisers are the significant determinants of Jasmine rice productivity. Significantly lower productivity in Phitsanulok and Tung Gula Rong Hai provinces demonstrate the influence of biophysical and environmental factors on productivity performance. The mean level of technical efficiency is estimated at 0.63 suggesting that 59% [(100 - 63)/63] of the productivity is lost due to technical inefficiency. Policy implications include measures to keep Jasmine rice price high, increase access to irrigation and fertiliser availability, as well as investment in education targeted to farm households which will synergistically increase adoption of Jasmine rice as well as farm productivity. Copyright (c) 2009 The Authors. Journal compilation (c) 2009 The Agricultural Economics Society.

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“…On the other hand, greater experience could also lead to better knowledge of spatial variability in the field and more accurate assessment of the benefits of adoption. Shiyami et al (2000) find that the more experience with growing chickpea, the higher the adoption of new varieties. Considering the above factors, the impact of farming Contacts with extension agents and social participation are expected to have a positive effect on adoption based upon innovation diffusion theory.…”

Section: Empirical Modelmentioning

confidence: 89%

Factors determining intercropping by rubber smallholders in Sri Lanka: a logit analysis

Herath¹

2003

Agricultural Economics

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Variables related to farmers' awareness and attitudes towards intercropping of immature rubber (Hevea brusiliensis) stands, extension contacts, education level, and experience with farming other crops are positively associated with the probability of adoption. Higher levels of off-farm income are associated with reduced intercropping in immature rubber stands. Farmers who are sole owners of the land and engaged in full or part-time rubber farming show lower adoption rates than other land ownership groups. Social participation, family size, experience with farming rubber, immature and mature rubber stands size, and the nature of the land (flatkloped) do not significantly influence adoption. These conclusions were obtained from a logit model estimated by employing the results of a survey of 588 smallholder rubber farmers from five major rubber-growing regions in Sri Lanka.

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Adoption of improved chickpea varieties: KRIBHCO experience in tribal region of Gujarat, India

Cited by 41 publications

References 8 publications

Technology adoption under seed access constraints and the economic impacts of improved pigeonpea varieties in Tanzania

Technology adoption under seed access constraints and the economic impacts of improved pigeonpea varieties in Tanzania

Production Efficiency of Jasmine Rice Producers in Northern and North‐eastern Thailand

Factors determining intercropping by rubber smallholders in Sri Lanka: a logit analysis

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