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.
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The Pakistan Rural Household Panel Survey (PRHPS) 2014, Round 3 is the third round of the PRHPS; Round 1 and 2 were conducted in 2012 and 2013 respectively.
The dataset "Pakistan Cotton Survey 2013, Round 1.1" was collected to inform the research study that examines the efficiency of markets for cotton seed in Pakistan with particular emphasis on the market for genetically modified cotton seed embodyi
The dataset "Pakistan Cotton Survey 2013, Round 1.2" was collected to inform the research study that examines the efficiency of markets for cotton seed in Pakistan with particular emphasis on the market for genetically modified cotton seed embodyi
To study the efficiency of genetically modified cotton markets in Pakistan, a series of household surveys were designed and implemented in 2013.
This dataset informs research on the efficiency of markets for cotton seed in Pakistan
dataset
Pakistan seed dealer survey
The dataset "Seed Dealer Survey" was collected to inform the research study that examines the efficiency of markets for cotton seed in Pakistan with particular emphasis on the market for genetically modified cotton seed embodying insect-resistance
Household and community level data, covering a variety of topics including employment, consumption, health, shocks, and governance.
Pakistan Rural Household Panel Survey (PRHPS) 2012, Round 1.5 is a sub-sample consisting of agricultural households captured in Round 1 of the panel survey.
Pakistan Rural Household Panel Survey (PRHPS), 2012 is the 1st round of the Rural Household Panel Survey, which aims to provide quantitative basis to identify and address urgent economic policy priorities.
dataset
ASTI Pakistan database
The Agricultural Science and Technology Indicators (ASTI) initiative compiles, analyzes, and publishes data on institutional developments, investments, and human resources in agricultural R&D in low- and middle-income countries.
This Social Accounting Matrix (SAM) was built for the year 2007–2008 for Pakistan.
The questionnaire was administered in 14 rounds over five years to approximately 800 rural households.