Soil quality evaluation for irrigated agroecological zones of Punjab, Pakistan: The Luenberger indicator approach
This article describes the construction of the Luenberger soil quality indicator (SQI) using data on crop yield, non-soil inputs, and soil profile from three irrigated agroecological zones of Punjab, Pakistan, namely, rice–wheat, maize–wheat–mix, and cotton–mix zones. Plot level data are used to con...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/141899 |
| _version_ | 1855519757799784448 |
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| author | Sheikh, Asjad Tariq Hailu, Atakelty Mugera, Amin Pandit, Ram Davies, Stephen |
| author_browse | Davies, Stephen Hailu, Atakelty Mugera, Amin Pandit, Ram Sheikh, Asjad Tariq |
| author_facet | Sheikh, Asjad Tariq Hailu, Atakelty Mugera, Amin Pandit, Ram Davies, Stephen |
| author_sort | Sheikh, Asjad Tariq |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This article describes the construction of the Luenberger soil quality indicator (SQI) using data on crop yield, non-soil inputs, and soil profile from three irrigated agroecological zones of Punjab, Pakistan, namely, rice–wheat, maize–wheat–mix, and cotton–mix zones. Plot level data are used to construct a soil quality indicator by estimating directional distance functions within a data envelopment analysis (DEA) framework. We find that the SQI and crop yield relationships exhibit diminishing returns to improving soil quality levels. Using the constructed SQI values, we estimate linear regression models to generate weights that could be used directly to aggregate individual soil attributes into soil quality indicators without the necessity of fitting a frontier to the crop production data. For wheat and rice production, we find that SQI is most sensitive to changes in soil electrical conductivity (EC) and potassium (K). The SQI has direct relevance for site-specific decision-making problems where policymakers need to price land resources and conservation services to achieve agricultural and environmental goals. |
| format | Journal Article |
| id | CGSpace141899 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1418992025-12-08T10:06:44Z Soil quality evaluation for irrigated agroecological zones of Punjab, Pakistan: The Luenberger indicator approach Sheikh, Asjad Tariq Hailu, Atakelty Mugera, Amin Pandit, Ram Davies, Stephen soil quality crop yield agroecology rice wheat maize cotton conservation environment This article describes the construction of the Luenberger soil quality indicator (SQI) using data on crop yield, non-soil inputs, and soil profile from three irrigated agroecological zones of Punjab, Pakistan, namely, rice–wheat, maize–wheat–mix, and cotton–mix zones. Plot level data are used to construct a soil quality indicator by estimating directional distance functions within a data envelopment analysis (DEA) framework. We find that the SQI and crop yield relationships exhibit diminishing returns to improving soil quality levels. Using the constructed SQI values, we estimate linear regression models to generate weights that could be used directly to aggregate individual soil attributes into soil quality indicators without the necessity of fitting a frontier to the crop production data. For wheat and rice production, we find that SQI is most sensitive to changes in soil electrical conductivity (EC) and potassium (K). The SQI has direct relevance for site-specific decision-making problems where policymakers need to price land resources and conservation services to achieve agricultural and environmental goals. 2024-05 2024-05-17T17:53:58Z 2024-05-17T17:53:58Z Journal Article https://hdl.handle.net/10568/141899 en Open Access Wiley Sheikh, Asjad Tariq; Hailu, Atakelty; Mugera, Amin; Pandit, Ram; and Davies, Stephen. 2024. Soil quality evaluation for irrigated agroecological zones of Punjab, Pakistan: The Luenberger indicator approach. Agricultural Economics 55(3): 531-553. https://doi.org/10.1111/agec.12831 |
| spellingShingle | soil quality crop yield agroecology rice wheat maize cotton conservation environment Sheikh, Asjad Tariq Hailu, Atakelty Mugera, Amin Pandit, Ram Davies, Stephen Soil quality evaluation for irrigated agroecological zones of Punjab, Pakistan: The Luenberger indicator approach |
| title | Soil quality evaluation for irrigated agroecological zones of Punjab, Pakistan: The Luenberger indicator approach |
| title_full | Soil quality evaluation for irrigated agroecological zones of Punjab, Pakistan: The Luenberger indicator approach |
| title_fullStr | Soil quality evaluation for irrigated agroecological zones of Punjab, Pakistan: The Luenberger indicator approach |
| title_full_unstemmed | Soil quality evaluation for irrigated agroecological zones of Punjab, Pakistan: The Luenberger indicator approach |
| title_short | Soil quality evaluation for irrigated agroecological zones of Punjab, Pakistan: The Luenberger indicator approach |
| title_sort | soil quality evaluation for irrigated agroecological zones of punjab pakistan the luenberger indicator approach |
| topic | soil quality crop yield agroecology rice wheat maize cotton conservation environment |
| url | https://hdl.handle.net/10568/141899 |
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