Soil conservation and technical efficiency among hillside farmers in Central America: a switching regression model*

Solís, Daniel; Bravo‐Ureta, Boris E.; Quiroga, Ricardo

doi:10.1111/j.1467-8489.2007.00394.x

Cited by 64 publications

(56 citation statements)

References 39 publications

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“…A similar approach was implemented by Solís et al . () when analysing farmers with different levels of adoption of soil conservation in Central America. However, this procedure has proven unsuitable for nonlinear models such as the SPF (Greene, ).…”

Section: Analytical Frameworkmentioning

confidence: 99%

Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps

Villano¹,

Bravo‐Ureta²,

Solís³

et al. 2014

J Agricultural Economics

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112

119

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Using cross-sectional farm-level data from 3,164 rice-farming households in the Philippines, we measure the impact of modern rice technologies on farm productivity while disentangling technology gaps (the distance between production frontiers) from managerial gaps (differences in technical efficiency). To do so, we combine a recently developed stochastic production frontier framework with impact evaluation techniques to control for biases stemming from observables and unobservables. First, we find an adequate control group using propensity score matching to mitigate the effect of biases from observable variables. Then, we test for biases that might arise from unobserved variables using a stochastic frontier framework corrected for self-selection. Finally, we estimate meta-frontiers to assess productivity differences between adopters and non-adopters. The analysis shows that the adoption of certified seeds has a significant and positive impact on productivity, efficiency and net income in rice farming.

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Section: Analytical Frameworkmentioning

confidence: 99%

Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps

Villano¹,

Bravo‐Ureta²,

Solís³

et al. 2014

J Agricultural Economics

Self Cite

112

119

View full text Add to dashboard Cite

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“…All of these standard predictors are either of a socio‐economic nature, or they focus on bio‐physical farm characteristics. Examples of studies include Ervin and Ervin (1982), Norris and Batie (1987), Pagoulatos et al (1989), Gould et al (1989), Ramírez and Shultz (2000), Lichtenberg (2001), Asrat et al (2004), Cramb (2005), Anley et al (2007) or Solís et al (2007). The above studies assess adoption of SCM mostly by external assessment or by self‐reported actual adoption ('revealed preferences').…”

Section: Introductionmentioning

confidence: 99%

Social psychology predictors for the adoption of soil conservation measures in Central Chile

2011

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With low adoption rates of soil conservation measures (SCM) widespread, we examine determinants of current and potential future adoption in the ‘Secano Costero’ region of Central Chile. Randomly selected farmers (N = 140) spent an equivalent of 48 000 CLP/year (∼79 US$) on SCM. Contingent valuation of a hypothesized soil conservation programme revealed a willingness‐to‐pay of 30 610 CLP/year (∼50·4 US$) for future adoption. Social‐psychology variables from Protection Motivation Theory (PMT; response efficacy, perceived barriers) were used to predict current and potential future adoption. Current spending on SCM is influenced by perceptions of (1) erosion problem severity, (2) response efficacy of SCM, (3) farming problems and (4) barriers (lack of labour and draught animals). In addition, farm size and education were significant predictors. Willingness‐to‐pay for future adoption of SCM is influenced by farmer perception of (1) response efficacy of SCM, and (2) community support to the programme as well as farm size, age and gender. Our results suggest that formal psychometric scale development for social‐psychology predictors for the adoption of SCM, e.g. based on PMT, is a promising avenue for the analysis of soil conservation decisions. Copyright © 2011 John Wiley & Sons, Ltd.

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“…However, we cannot simply attribute these differences to participation in supermarket channels, because of a potential selection bias: some of the factors determining participation in supermarket channels may also influence farm efficiency and productivity. A common approach to address selectivity issues is the two-step Heckman (1976) procedure, which was recently used by Sipiläinen and Lansink (2005) and Solis, Bravo-Ureta, and Quiroga (2007). However, the two-step Heckman procedure is less suitable for non-linear functions such as the stochastic frontier.…”

Section: Potential Selection Biasmentioning

confidence: 99%

Farmer Participation in Supermarket Channels, Production Technology, and Efficiency: The Case of Vegetables in Kenya

Rao

Brümmer

Qaim

2012

American J Agri Economics

133

130

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Acknowledgements:This research was financially supported through a grant from the German Research Foundation (DFG). 1Farmer Participation in Supermarket Channels, Production Technology, and Efficiency:The Case of Vegetables in Kenya AbstractSupermarkets are gaining ground in the agri-food systems of many developing countries. While recent research has analyzed income effects in the small farm sector, impacts on productivity and efficiency have hardly been studied. We use a meta-frontier approach and combine this with propensity score matching to estimate treatment effects among vegetable farmers in Kenya.Participation in supermarket channels increases farm productivity in terms of meta-technology ratios by 45%. We also find positive and significant impacts on technical efficiency and scale efficiency. Supermarket expansion therefore presents opportunities for agricultural growth in the small farm sector, which is crucial for poverty reduction in Africa.

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Soil conservation and technical efficiency among hillside farmers in Central America: a switching regression model*

Cited by 64 publications

References 39 publications

Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps

Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps

Social psychology predictors for the adoption of soil conservation measures in Central Chile

Farmer Participation in Supermarket Channels, Production Technology, and Efficiency: The Case of Vegetables in Kenya

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