Estimating shadow prices and efficiency analysis of productive inputs and pesticide use of vegetable production

Alphonse G. Singbo, Alfons Oude Lansink, Grigorios Emvalomatis

Research output: Contribution to journalArticleAcademicpeer-review

11 Citations (Scopus)

Abstract

This paper analyzes technical efficiency and the value of the marginal product of productive inputs vis-a-vis pesticide use to measure allocative efficiency of pesticide use along productive inputs. We employ the data envelopment analysis framework and marginal cost techniques to estimate technical efficiency and the shadow values of each input. A bootstrap technique is applied to overcome the limitations of DEA and helps to estimate the mean and 95 percent confidence intervals of the estimated quantities. The methods are applied to a sample of vegetable producers in Benin over the period 2009-2010. Results indicated that bias corrected technical efficiency scores are lower than the initial measures and the former estimates are statistically significant. The application results show that vegetable producers are less efficient with respect to pesticide use than other inputs. Also, results suggest that pesticides, land and fertilizers are overused.

Original languageEnglish
Pages (from-to)265-272
JournalEuropean Journal of Operational Research
Volume245
Issue number1
DOIs
Publication statusPublished - 2015

Fingerprint

Shadow Price
Technical Efficiency
Vegetables
Pesticides
Allocative Efficiency
Estimate
Data Envelopment Analysis
Bootstrap
Percent
Data envelopment analysis
Confidence interval
Fertilizers
Costs
Shadow price
Efficiency analysis
Technical efficiency

Keywords

  • Input specific efficiency
  • Pesticides
  • Shadow prices
  • Smooth bootstrap
  • Vegetables

Cite this

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abstract = "This paper analyzes technical efficiency and the value of the marginal product of productive inputs vis-a-vis pesticide use to measure allocative efficiency of pesticide use along productive inputs. We employ the data envelopment analysis framework and marginal cost techniques to estimate technical efficiency and the shadow values of each input. A bootstrap technique is applied to overcome the limitations of DEA and helps to estimate the mean and 95 percent confidence intervals of the estimated quantities. The methods are applied to a sample of vegetable producers in Benin over the period 2009-2010. Results indicated that bias corrected technical efficiency scores are lower than the initial measures and the former estimates are statistically significant. The application results show that vegetable producers are less efficient with respect to pesticide use than other inputs. Also, results suggest that pesticides, land and fertilizers are overused.",
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Estimating shadow prices and efficiency analysis of productive inputs and pesticide use of vegetable production. / Singbo, Alphonse G.; Lansink, Alfons Oude; Emvalomatis, Grigorios.

In: European Journal of Operational Research, Vol. 245, No. 1, 2015, p. 265-272.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

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AU - Singbo, Alphonse G.

AU - Lansink, Alfons Oude

AU - Emvalomatis, Grigorios

PY - 2015

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N2 - This paper analyzes technical efficiency and the value of the marginal product of productive inputs vis-a-vis pesticide use to measure allocative efficiency of pesticide use along productive inputs. We employ the data envelopment analysis framework and marginal cost techniques to estimate technical efficiency and the shadow values of each input. A bootstrap technique is applied to overcome the limitations of DEA and helps to estimate the mean and 95 percent confidence intervals of the estimated quantities. The methods are applied to a sample of vegetable producers in Benin over the period 2009-2010. Results indicated that bias corrected technical efficiency scores are lower than the initial measures and the former estimates are statistically significant. The application results show that vegetable producers are less efficient with respect to pesticide use than other inputs. Also, results suggest that pesticides, land and fertilizers are overused.

AB - This paper analyzes technical efficiency and the value of the marginal product of productive inputs vis-a-vis pesticide use to measure allocative efficiency of pesticide use along productive inputs. We employ the data envelopment analysis framework and marginal cost techniques to estimate technical efficiency and the shadow values of each input. A bootstrap technique is applied to overcome the limitations of DEA and helps to estimate the mean and 95 percent confidence intervals of the estimated quantities. The methods are applied to a sample of vegetable producers in Benin over the period 2009-2010. Results indicated that bias corrected technical efficiency scores are lower than the initial measures and the former estimates are statistically significant. The application results show that vegetable producers are less efficient with respect to pesticide use than other inputs. Also, results suggest that pesticides, land and fertilizers are overused.

KW - Input specific efficiency

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KW - Shadow prices

KW - Smooth bootstrap

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