Economic and Environmental Implications of Soil Nitrogen Testing: A Switching‐Regression Analysis

Fuglie, Keith O.; Bosch, Darrell J.

doi:10.2307/1243812

Cited by 160 publications

(91 citation statements)

References 5 publications

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“…The alternative signs of both correlation coefficients suggest that adopters adopt modern varieties on the basis of their comparative advantages. In other words, those who adopted have above-average returns from adoption, and those who did not choose to adopt have above-average returns from non-adoption (Alene and Manyong 2007;Fuglie and Bosch 1995). The insignificance of the correlation coefficient between adoption equation and non-adopters' yield function in all four specifications indicates that adopters and non-adopters obtain the same mean yield of paddy using local varieties, given their observed characteristics.…”

Section: P > |Z|mentioning

confidence: 90%

Impact of farmer education on farm productivity under varying technologies: case of paddy growers in India

2018

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This paper analyzes the effects of education on farm productivity in the case of growers of modern and traditional varieties of paddy in Odisha, Eastern India. Using an endogenous switching regression model, the study has found that a minimum threshold level of education is significantly influencing the adoption of modern varieties of paddy and thereby the farm productivity of adopters only. So, the study finds the evidence in support of Schultz hypothesis that says education enhances farm productivity in the case of adopters of modern technology. The study suggests that farmers' field school program must be implemented along with a strong extension network in the study region for a wider dissemination modern technology.

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Section: P > |Z|mentioning

confidence: 90%

Impact of farmer education on farm productivity under varying technologies: case of paddy growers in India

2018

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“…Apart from estimates for ߚ ଵ and ߚ , FIML also generates ߩ ଵఓ and ߩ ఓ , which are estimates of the correlation coefficients between the error terms in the outcome and selection 6 equations. The signs and significance levels of these estimated correlation coefficients have economic interpretations (Fuglie and Bosch, 1995;Lokshin and Sajaia, 2004). If either ߩ ଵఓ or ߩ ఓ is non-zero, there is endogenous switching, which would lead to selection bias if not controlled for.…”

Section: The Esr Modelmentioning

confidence: 91%

“…In particular, we build on a sample of 385 banana growers and use endogenous switching regression (ESR) (e.g., Fuglie and Bosch, 1995;Alene and Manyong, 2007;Kassie et al, 2010). The ESR approach does not only allow estimation of unbiased treatment effects on yield, but also takes into account that TC adoption may systematically change production elasticities of farm inputs and other relevant factors.…”

Section: Introductionmentioning

confidence: 99%

Yield Effects of Tissue Culture Bananas in Kenya: Accounting for Selection Bias and the Role of Complementary Inputs

Kabunga¹,

Dubois²,

Qaim³

2012

J Agricultural Economics

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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 AbstractWe analyze yield effects of tissue culture (TC) banana technology in the Kenyan small farm sector, using recent survey data and an endogenous switching regression approach. TC banana plantlets, which are free from pests and diseases, have been introduced in East Africa since the late-1990s. While field experiments show significant yield advantages over traditional banana suckers, a rigorous assessment of impacts in farmers' fields is still outstanding. A comparison of mean yield levels between TC adopters and non-adopters in our sample shows no significant difference. However, we find a negative selection bias, indicating that farmers with lower than average yields are more likely to adopt TC. Controlling for this bias results in a positive and significant TC net yield gain of 7%. We also find that TC technology is more knowledgeintensive and more responsive to irrigation than traditional bananas. Simulations show that improving access to irrigation could lift TC productivity gains to above 20%. The analytical approach developed and applied here may also be useful for the evaluation of other knowledgeintensive package technologies and innovations in perennial crops. comparison of mean yield levels between TC adopters and non-adopters in our sample shows no significant difference. However, we find a negative selection bias, indicating that farmers with lower than average yields are more likely to adopt TC. Controlling for this bias results in a positive and significant TC net yield gain of 7%. We also find that TC technology is more knowledge-intensive and more responsive to irrigation than traditional bananas. Simulationsshow that improving access to irrigation could lift TC productivity gains to above 20%. The analytical approach developed and applied here may also be useful for the evaluation of other knowledge-intensive package technologies and innovations in perennial crops.

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“…Tenure has been measured in various ways in the literature. In some studies, tenure is the portion of farmed acres owned (Rahm and Huffman, 1984;Belknap and Saupe, 1988;Featherstone and Goodwin, 1993), others use dummy variables to identify the different types of ownership (Lynne et al, 1995(Lynne et al, , 1988, while Fuglie and Bosch (1995) examined owner-operated fields. Ownership type captures whether the farm is individually owned vs. a corporate farm.…”

Section: Capacitymentioning

confidence: 99%

Why farmers adopt best management practice in the United States: A meta-analysis of the adoption literature

Baumgart-Getz¹,

Prokopy²,

Floress³

2012

Journal of Environmental Management

629

452

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a b s t r a c tThis meta-analysis of both published and unpublished studies assesses factors believed to influence adoption of agricultural Best Management Practices in the United States. Using an established statistical technique to summarize the adoption literature in the United States, we identified the following variables as having the largest impact on adoption: access to and quality of information, financial capacity, and being connected to agency or local networks of farmers or watershed groups. This study shows that various approaches to data collection affect the results and comparability of adoption studies. In particular, environmental awareness and farmer attitudes have been inconsistently used and measured across the literature. This meta-analysis concludes with suggestions regarding the future direction of adoption studies, along with guidelines for how data should be presented to enhance the adoption of conservation practices and guide research.Published by Elsevier Ltd.

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Economic and Environmental Implications of Soil Nitrogen Testing: A Switching‐Regression Analysis

Cited by 160 publications

References 5 publications

Impact of farmer education on farm productivity under varying technologies: case of paddy growers in India

Impact of farmer education on farm productivity under varying technologies: case of paddy growers in India

Yield Effects of Tissue Culture Bananas in Kenya: Accounting for Selection Bias and the Role of Complementary Inputs

Why farmers adopt best management practice in the United States: A meta-analysis of the adoption literature

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