The optimal design of informal contracts in agricultural value chains depends on when farmers prefer to be paid for their output.
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These data are from phone surveys conducted for 1,767 wheat and tomato farmers spread across four districts in the state of Haryana, India.
These files comprise data and do-files for reproducing results presented in the article "Taxing Informality: Compliance and Policy Preferences in Urban Zambia" (Resnick, 2020).
This data is from a study conducted on informal food retail in three of Ghana’s cities – Accra, Kumasi and Tamale.
This dataset is from a study conducted on taxation and service delivery in Lusaka’s informal markets.
This data is from a study conducted on informal food retail in two of Nigeria’s secondary cities, Calabar and Minna.
Many developing-country farmers cultivating vegetatively propagated crops (VPCs)—crops such as cassava, potato, sweetpotato, and yam—face constrained access to quality planting material.
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.
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
Baseline data on agricultural production and cell phone technology usage among smallholder farmers in the Nampula province of Mozambique
2015 version contains information from 10 public expenditure sectors in 147 countries
The Ethiopia Rural Household Survey (ERHS) is a unique longitudinal household data set covering households in a number of villages in rural Ethiopia.
This dataset is a 1992 social accounting matrix (SAM) for Tanzania. On the basis of recently generated national accounts data, a 56 sector SAM was built focusing on the disaggregation of the agricultural sectors - comprising 21 of the 56 sectors.
The 2005 Ghana Social Accounting Matrix (SAM) is a consistent data framework that captures the information contained in the national income and product accounts and the input-output table, as well as the monetary flows between institutions.
The survey was a research collaboration between International Food Policy Research Institute (IFPRI), Wageningen University and Research Center (WUR), and the National Program for Sustainable Rural Development (PRONADERS) of the Honduran Ministry
The 1996 SAM for Chile breaks down the economy into two sectors: the productive sector which is classified in 13 different activities (agriculture, wood and paper, fishing, mining (except oil), oil, extraction and refinery, manufactures, electrici
The South African SAMs identify 39 activities and 39 commodities, which are further disaggregated across the nine provinces.