Environmental and cost efficiency of pesticide use in transgenic and conventional cotton production

Wossink, Ada; Denaux, Zulal S.

doi:10.1016/j.agsy.2006.01.004

Cited by 57 publications

(24 citation statements)

References 19 publications

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“…This finding is in line with recent evidence from Dutch agriculture showing that Dutch farmers have a high pesticide environmental inefficiency (Skevas et al ., ). Wossink and Denaux () also report considerable levels of pesticide environmental inefficiency (measured in terms of reducing pesticide leaching potential) in their study of cotton growers in North Carolina.…”

Section: Resultsmentioning

confidence: 99%

Reducing Pesticide Use and Pesticide Impact by Productivity Growth: the Case of Dutch Arable Farming

Skevas¹,

Lansink²

2013

J Agricultural Economics

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This paper employs a dynamic Data Envelopment Analysis (DEA) model to measure the composition of productivity growth of pesticides and the environmental impacts of pesticides. The application focuses on panel data of Dutch arable farms over the period 2003-07. A bootstrap regression model is used to explain farmers' performance, providing empirical evidence of the impact of producer-specific characteristics and environmental factors. The results show that Dutch arable farms have substantial inefficiency in the use of pesticides and high pesticide environmental inefficiency, and appear rather unconcerned about the environmental impacts of their current pesticide use decisions on next period's production environment.

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Section: Resultsmentioning

confidence: 99%

Reducing Pesticide Use and Pesticide Impact by Productivity Growth: the Case of Dutch Arable Farming

Skevas¹,

Lansink²

2013

J Agricultural Economics

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“…Indeed, studies show both increases and decreases in the total amount of herbicide active ingredient applied per acre. 81,88,92,93 Several studies have been done to Table 3. Recent results of research on potential impact of Bt crops on non-target above-ground organisms The potential non-target impacts of insect resistant Bt crops on above-ground invertebrates have been extensively studied, with several hundred studies comparing effects of Bt and non-Bt crops.…”

Section: Resultsmentioning

confidence: 99%

Impact of GM crops on biodiversity

Carpenter¹

2011

GM Crops

115

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The potential impact of GM crops on biodiversity has been a topic of interest both in general as well as specifically in the context of the Convention on Biological Diversity. Agricultural biodiversity has been defined at levels from genes to ecosystems that are involved or impacted by agricultural production (www.cbd.int/agro/whatis.shtml). After fifteen years of commercial cultivation, a substantial body of literature now exists addressing the potential impacts of GM crops on the environment. This review takes a biodiversity lens to this literature, considering the impacts at three levels: the crop, farm and landscape scales. Within that framework, this review covers potential impacts of the introduction of genetically engineered crops on: crop diversity, biodiversity of wild relatives, non-target soil organisms, weeds, land use, non-target above-ground organisms, and area-wide pest suppression. The emphasis of the review is peer-reviewed literature that presents direct measures of impacts on biodiversity. In addition, possible impacts of changes in management practises such as tillage and pesticide use are also discussed to complement the literature on direct measures. The focus of the review is on technologies that have been commercialized somewhere in the world, while results may emanate from non-adopting countries and regions. Overall, the review finds that currently commercialized GM crops have reduced the impacts of agriculture on biodiversity, through enhanced adoption of conservation tillage practices, reduction of insecticide use and use of more environmentally benign herbicides and increasing yields to alleviate pressure to convert additional land into agricultural use.

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“…If TE CRS < 1 and TE CRS = TE NIRS , then the farmer produces at an inefficiently small output level, and the inefficiency emanates from increasing return-to-scale. On the other hand, if TE CRS < 1 and TE NIRS > TE CRS , then the farmers' inefficiency results from decreasing return-to-scale (Wossink and Denaux 2006).…”

Section: Technical Efficiency Estimation With Dea Approachmentioning

confidence: 99%

“…Technical efficiency indices were regressed on a set of socioeconomic (including the welfare variable), farm-specific, and policy factors to explain the variation in technical efficiency. In many studies, a Tobit regression model has been used due to the censoring nature of the efficiency score as recently done by Ogada et al (2014a) and previously by Wossink and Denaux (2006). A simplified farm-level technical efficiency model is specified as:…”

Section: The Two-way Impact Of Welfare and Technical Efficiencymentioning

confidence: 99%

Do farm-level technical efficiency and welfare complement each other? Insight from Ghana’s cocoa industry

Danso-Abbeam

Baiyegunhi

2020

Economic Structures

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Technical inefficiency persists in Ghana’s cocoa farms. Farm-level guidelines from empirical studies are essential to inform programmes dealing with this challenge and subsequently improves farmers’ welfare. This study evaluates the two-way effects of technical efficiency and welfare using Data Envelopment Analysis (DEA) and Conditional Mixed-process (CMP). The study reveals that, with no additional inputs, farmers have the potential of increasing their output by an average of 56% (overall technical efficiency) with mean pure technical and scale efficiencies estimated at 76% and 58%, respectively. Observed inefficiency in the Ghanaian cocoa farms is due to both inefficient utilization of inputs and farmers’ inability to operate at the most productive scale size. Furthermore, findings from the study indicated that improved technical efficiency and welfare of smallholder cocoa farmers are crucial for the sustainable growth of Ghana’s cocoa sector as farmers’ efficiency and welfare significantly complement each other. In other words, improved welfare enhances technical efficiency, and higher technical efficiency score translates into better welfare. Hence, farm-level policies such as inputs subsidy programmes, training farmers on the proper application of agrochemicals, among others to enhance farm efficiency should be strengthened since efficiency is tied to household welfare. Moreover, investment in education targeted at farmers to improve their managerial and technical capacities will enhance their ability to optimize the operational size of the cocoa production system, and subsequently improve their welfare.

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Environmental and cost efficiency of pesticide use in transgenic and conventional cotton production

Cited by 57 publications

References 19 publications

Reducing Pesticide Use and Pesticide Impact by Productivity Growth: the Case of Dutch Arable Farming

Reducing Pesticide Use and Pesticide Impact by Productivity Growth: the Case of Dutch Arable Farming

Impact of GM crops on biodiversity

Do farm-level technical efficiency and welfare complement each other? Insight from Ghana’s cocoa industry

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