A metafrontier approach and fractional regression model to analyze the environmental efficiency of alternative tillage practices for wheat in Bangladesh

Among alternative tillage practices, conservation tillage (CT) is a prominent greenhouse gas (GHG) mitigation strategy advocated in wheat cultivation, largely because of its low energy consumption and minimum soil disturbance during cultural operations. This paper examines the agricultural productio...

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Autores principales: Aravindakshan, Sreejith, AlQahtany, Ali, Arshad, Muhammad, Manjunatha, A.V, Krupnik, Timothy J.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Springer 2022
Materias:
Acceso en línea:https://hdl.handle.net/10568/127523
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author Aravindakshan, Sreejith
AlQahtany, Ali
Arshad, Muhammad
Manjunatha, A.V
Krupnik, Timothy J.
author_browse AlQahtany, Ali
Aravindakshan, Sreejith
Arshad, Muhammad
Krupnik, Timothy J.
Manjunatha, A.V
author_facet Aravindakshan, Sreejith
AlQahtany, Ali
Arshad, Muhammad
Manjunatha, A.V
Krupnik, Timothy J.
author_sort Aravindakshan, Sreejith
collection Repository of Agricultural Research Outputs (CGSpace)
description Among alternative tillage practices, conservation tillage (CT) is a prominent greenhouse gas (GHG) mitigation strategy advocated in wheat cultivation, largely because of its low energy consumption and minimum soil disturbance during cultural operations. This paper examines the agricultural production and GHG emission trade-off of CT vis-à-vis traditional tillage (TT) on wheat farms of Bangladesh. Using a directional distance function approach, the maximum reduction in GHG emissions was searched for within all available tillage technology options, while increasing wheat production as much as possible. The underlying institutional, technical, and other socio-economic factors determining the efficient use of CT were analyzed using a fractional regression model. The average meta-efficiency score for permanent bed planting (PBP) and strip tillage (ST) was 0.89, while that achieved using power tiller operated seeders (PTOS) is 0.87. This indicates that with the given input sets, there is potential to reduce GHG emissions by about 11% for ST and PTOS; that potential is 13% for farmers using PTOS. The largest share of TT farmers cultivate wheat at lower meta-efficiency levels (0.65–0.70) compared to that observed with farmers practicing CT (0.75–0.80). Fractional regression model estimates indicate that an optimal, timely dose of fertilizers with a balanced dose of nutrients is required to reduce GHG emissions. To develop climate smart sustainable intensification strategies in wheat cultivation, it is important to educate farmers on efficient input management and CT together. Agricultural development programs should focus on addressing heterogeneities in nutrient management in addition to tillage options within CT.
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publishDate 2022
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spelling CGSpace1275232024-11-08T13:34:11Z A metafrontier approach and fractional regression model to analyze the environmental efficiency of alternative tillage practices for wheat in Bangladesh Aravindakshan, Sreejith AlQahtany, Ali Arshad, Muhammad Manjunatha, A.V Krupnik, Timothy J. climate-smart agriculture sustainable intensification conservation tillage greenhouse gas emissions Among alternative tillage practices, conservation tillage (CT) is a prominent greenhouse gas (GHG) mitigation strategy advocated in wheat cultivation, largely because of its low energy consumption and minimum soil disturbance during cultural operations. This paper examines the agricultural production and GHG emission trade-off of CT vis-à-vis traditional tillage (TT) on wheat farms of Bangladesh. Using a directional distance function approach, the maximum reduction in GHG emissions was searched for within all available tillage technology options, while increasing wheat production as much as possible. The underlying institutional, technical, and other socio-economic factors determining the efficient use of CT were analyzed using a fractional regression model. The average meta-efficiency score for permanent bed planting (PBP) and strip tillage (ST) was 0.89, while that achieved using power tiller operated seeders (PTOS) is 0.87. This indicates that with the given input sets, there is potential to reduce GHG emissions by about 11% for ST and PTOS; that potential is 13% for farmers using PTOS. The largest share of TT farmers cultivate wheat at lower meta-efficiency levels (0.65–0.70) compared to that observed with farmers practicing CT (0.75–0.80). Fractional regression model estimates indicate that an optimal, timely dose of fertilizers with a balanced dose of nutrients is required to reduce GHG emissions. To develop climate smart sustainable intensification strategies in wheat cultivation, it is important to educate farmers on efficient input management and CT together. Agricultural development programs should focus on addressing heterogeneities in nutrient management in addition to tillage options within CT. 2022-06 2023-01-19T11:11:47Z 2023-01-19T11:11:47Z Journal Article https://hdl.handle.net/10568/127523 en Limited Access Springer Aravindakshan, S., AlQahtany, A., Arshad, M., Manjunatha, A.V., & Krupnik, T. J. 2022. A metafrontier approach and fractional regression model to analyze the environmental efficiency of alternative tillage practices for wheat in Bangladesh. Environmental Science and Pollution Research, 29(27), 41231–41246. https://doi.org/10.1007/s11356-021-18296-3
spellingShingle climate-smart agriculture
sustainable intensification
conservation tillage
greenhouse gas emissions
Aravindakshan, Sreejith
AlQahtany, Ali
Arshad, Muhammad
Manjunatha, A.V
Krupnik, Timothy J.
A metafrontier approach and fractional regression model to analyze the environmental efficiency of alternative tillage practices for wheat in Bangladesh
title A metafrontier approach and fractional regression model to analyze the environmental efficiency of alternative tillage practices for wheat in Bangladesh
title_full A metafrontier approach and fractional regression model to analyze the environmental efficiency of alternative tillage practices for wheat in Bangladesh
title_fullStr A metafrontier approach and fractional regression model to analyze the environmental efficiency of alternative tillage practices for wheat in Bangladesh
title_full_unstemmed A metafrontier approach and fractional regression model to analyze the environmental efficiency of alternative tillage practices for wheat in Bangladesh
title_short A metafrontier approach and fractional regression model to analyze the environmental efficiency of alternative tillage practices for wheat in Bangladesh
title_sort metafrontier approach and fractional regression model to analyze the environmental efficiency of alternative tillage practices for wheat in bangladesh
topic climate-smart agriculture
sustainable intensification
conservation tillage
greenhouse gas emissions
url https://hdl.handle.net/10568/127523
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