Data

Efficient participatory irrigation institutions to support productive and sustainable agriculture in south Asia - Datasets 14-22

University of South Australia
Dr Bethany Cooper (Enriched by) Prof Lin Crase (Enriched by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://researchoutputs.unisa.edu.au/11541.1/64b46a84-ec7a-4814-9ce0-392bc6f109f4&rft.title=Efficient participatory irrigation institutions to support productive and sustainable agriculture in south Asia - Datasets 14-22&rft.identifier=http://research.unisa.edu.au/dataset/661639&rft.publisher=University of South Australia&rft.description=The project, funded by the Australian Centre for International Agricultural Research (ADP-2014-045), focuses on the devolution of responsibilities in irrigation to farmers. Broadly referred to as Participatory Irrigation Management/Irrigation Management Transfer (PIM/IMT), the project looked at the merits of this approach in different settings in south Asia. The research uses economics to help local irrigation managers better understand where and when PIM/IMT works and consider if a different approach is needed. The project uses empirical data drawn from four jurisdictions, Assam and Bihar in India and Sindh and Punjab in Pakistan, all with some unique characteristics. A large dataset has been assembled using both paper-based and mobile tablet surveys. The data covers: overall institutional performance and its relationship to agro-economic variables; drivers of compliance; gender differences and their impact on participation in water groups and perceptions of performance; data on preferred charging regimes and broader institutional arrangements for managing water at the local level. These data are unique, having been collected simultaneously across the four jurisdictions.&rft.creator=Anonymous&rft.date=2023&rft.coverage=Pakistan and India&rft_subject=910200&rft_subject=140200&rft_subject=Applied economics&rft_subject=Participatory irrigation management&rft_subject=South Asia&rft.type=dataset&rft.language=English Access the data
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Contact Information

Lin.Crase@unisa.edu.au

Full description

The project, funded by the Australian Centre for International Agricultural Research (ADP-2014-045), focuses on the devolution of responsibilities in irrigation to farmers. Broadly referred to as Participatory Irrigation Management/Irrigation Management Transfer (PIM/IMT), the project looked at the merits of this approach in different settings in south Asia.

The research uses economics to help local irrigation managers better understand where and when PIM/IMT works and consider if a different approach is needed. The project uses empirical data drawn from four jurisdictions, Assam and Bihar in India and Sindh and Punjab in Pakistan, all with some unique characteristics.

A large dataset has been assembled using both paper-based and mobile tablet surveys. The data covers: overall institutional performance and its relationship to agro-economic variables; drivers of compliance; gender differences and their impact on participation in water groups and perceptions of performance; data on preferred charging regimes and broader institutional arrangements for managing water at the local level.

These data are unique, having been collected simultaneously across the four jurisdictions.
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Existing data was sourced from:
local : DSET_EXISTING_DATA
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The following instruments/equipment were used to generate or capture the data:
local : DSET_INST_DATA_CAPTURE
Hand-held tablets were used. We recommended Samsung devices but any non-apple device was used in the field.

The following software (and version) was used to analyse the data:
local : DSET_SW_DATA_ANALYSIS
Various software was used to analyse the data across research teams (SPSS, STATA, NLOGIT & XLS).

The following software (and version) was used to generate or capture the data:
local : DSET_SW_DATA_CAPTURE
The choice survey was captured using a mobile app generated by a proprietary company called AgImpact. The app was developed using CommCare V1. The choice sets were generated using STATA.

The following discipline-specific metadata standards describe the data:
local : DSET_METADATA_STANDARDS
No

Data time period: 07 2016 to 31 12 2020

This dataset is part of a larger collection

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Spatial Coverage And Location

text: Pakistan and India

Subjects
140200 | 910200 | Applied economics | Participatory irrigation management | South Asia |

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