Record Details

Experiences With and Preferences for Drip Irrigation Systems in Punjab, Pakistan

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Field Value
 
Title Experiences With and Preferences for Drip Irrigation Systems in Punjab, Pakistan
 
Identifier https://doi.org/10.7910/DVN/D4T5PV
 
Creator International Food Policy Research Institute (IFPRI)
Master of Environmental Policy Program (iMEP), Duke Kunshan University
Department of Environmental Studies, New York University
University of Agriculture-Faisalabad, Pakistan
 
Publisher Harvard Dataverse
 
Description The data in this study were collected to assess preferences with respect to drip irrigation systems, which was promoted under Punjab Irrigated-Agriculture Productivity Improvement Project (PIPIP) in Pakistan. The survey was conducted among 475 households across four districts (Attok, Chakwal, Layyah, and Sahiwal) in the Punjab province of Pakistan. These districts capture contrasting agroecological zones as well as contrasting agricultural systems. The survey was designed primarily to capture differential preferences along a gradient of drip irrigation experience and exposure. In addition, the survey collects household information such as education, farm holdings, cropping systems, and patterns.
 
Subject Agricultural Sciences
Social Sciences
drip irrigation
agricultural productivity
choice experiment
experimentation
irrigation systems
trickle irrigation
water supply
water use efficiency
water management
PAKISTAN
SOUTH ASIA
ASIA
 
Language English
 
Contributor IFPRI-KM
Bell, Andrew, R. (Department of Environmental Studies, New York University)
Ward, Patrick S. (International Food Policy Research Institute (IFPRI) and Duke Kunshan University, Kunshan, Jiangsu Province, China))
Ashfaq, Muhammad (Institute of Agricultural and Resource Economics, University of Agriculture, Faisalabad, Pakistan)
Davies, Stephen (International Food Policy Research Institute (IFPRI))
CGIAR Research Programs on Policies, Institutions, and Markets (PIM)
 
Type sample survey data (SSD)