Sustainable Intensification of Crop Production in Anuradhapura District, Sri Lanka, 2018
Sri Lanka, 2018 - 2019
Get MicrodataIdentification
LKA_2018_SLKSICPAD_v01_EN_M_v01_A_ESS
Sustainable Intensification of Crop Production in Anuradhapura District, Sri Lanka, 2018
| Name | Country code |
|---|---|
| Sri Lanka | LKA |
Agricultural Survey [ag/oth]
The Sustainable Intensification of Crop Production in Anuradhapura District, 2018 study assesses the welfare impacts of agricultural strategies adopted by Sri Lankan rice farmers to adapt to low rainfall conditions across three different dimensions: (a) sensitivity to water stress, (b) household productivity, and (c) household livelihood conditions.
Sample survey data [ssd]
Households
Scope
- Household Characteristics: Identification and demographic details.
- Farm Land Use and Management: Details on plot characteristics, land preparation, water management, and crop production.
- Fertilizer Acquisition: Information on types and sources of fertilizers used.
- Seed and Planting Material Acquisition: Data on seed types and sources.
- Crop Sales: Details on the sale of crops produced.
- Livestock, Poultry, and Fish Farming: Information on non-crop farming activities.
- Off-Farm Income and Remittances: Data on household income from non-farming sources.
- Loans/Credit/Insurance: Information on financial instruments used by households.
- Agricultural Information and Services: Access to agricultural advice and services.
- Household Assets and Dwelling Characteristics: Assessment of household wealth and living conditions.
Coverage
Primarily rural areas with a central urban hub in the city of Anuradhapura.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Food and Agriculture Organization of the United Nations, Agrifood Economics and Policy Division (ESA) | FAO |
| Name | Role |
|---|---|
| Hector Kobbekaduwa Agrarian Research and Training Institute (Sri Lanka) | Data Collector |
Sampling
Sampling Procedure Required:
The total sample size of this survey is 1100 households representing paddy and other farming households in the Anuradhapura District. The Multistage Stratified Random Sampling Method was used:
- First Stage: Stratification based on irrigation type - major irrigation, minor irrigation, rainfed, and Mahaweli.
- Second Stage: Random selection of 110 Farmer Organizations within 11 Divisional Secretariat Divisions (DSDs).
- Third Stage: Random selection of 10 farming households from each selected Farmer Organization, with three reserve households to ensure the sample size is met if there are non-responses.
Sample weights were calculated for the household data to ensure representativeness and account for the sampling design. The following weighting variables are used:
- First Stage Weight (firststageweight): Computed as the inverse of the probability of selection at the village level. This weight accounts for the probability of a village being selected within each stratum (irrigation type).
- Second Stage Weight (secondstageweights): Calculated as the inverse of the probability of selecting a Farmer Organization within each selected village. This weight adjusts for the different probabilities of selecting Farmer Organizations based on their size.
- Third Stage Weight (thirdstageweights): Determined as the inverse of the probability of selecting a household within each Farmer Organization. This weight ensures that each household within a selected Farmer Organization is appropriately represented.
- Final Weight (finalweights): This is the product of the first, second, and third stage weights. The final weight is normalized so that the total weighted number of households equals the total unweighted number of households. This weight is used in the analysis to ensure that survey estimates are representative of the entire population of farming households in Anuradhapura District.
Survey instrument
The data collection process for the Sustainable Intensification of Crop Production in Anuradhapura District involved a comprehensive Household Survey Questionnaire, meticulously crafted by the Environmental and Water Resources Management Division of HARTI in collaboration with FAO. Drawing from previous surveys, the questionnaire was specifically tailored to meet the project's objectives. The design process included stakeholder consultations, ensuring that all relevant topics, such as household demographics, land use, crop management, and income, were comprehensively addressed.
Data collection
| Start | End |
|---|---|
| 2018-11-22 | 2019-01-23 |
- Computer Assisted Personal Interview [capi]
During the data collection for the survey on Sustainable Intensification of Crop Production in Anuradhapura District, enumerators underwent a thorough training process that included familiarization with the survey tools and methods. Interviews were conducted in a manner that emphasized consistency and neutrality, and on average, each interview took approximately 120 minutes. Supervisors played a critical role in ensuring data quality by reviewing completed questionnaires and addressing any issues encountered in the field. Corrective actions were taken when necessary, including the rejection of incomplete questionnaires and the need for re-interviews. The documents do not mention the conduct of a pilot survey or detailed anecdotal reports from the field teams.
Data processing
The microdata files for the Sustainable Intensification of Crop Production in Anuradhapura District were carefully processed to ensure they met several critical data quality and privacy standards. Specifically, the files were stripped of any variables that could directly identify a data subject, such as names, phone numbers, ID numbers, addresses, or geo-references. Sensitive information that could potentially cause harm, such as HIV status, was also excluded. All categorical variables were properly labeled, and missing values were clearly coded and labeled. Each dataset included a unique identifier or a combination of variables that uniquely identified every record. Numerical variables were checked to ensure they fell within realistic thresholds, and any variables with all missing values were removed. Additionally, if the dataset had a hierarchical structure, the relationships between datasets were clarified with unique identification variables to facilitate accurate data merging. If any weighting factors were required but missing, an explanation was provided along with guidance on the appropriate use of the dataset.
Data Access
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO. |
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
- The micro dataset will only be used for statistical and/or research purposes;
- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
- The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;
- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
DDI_LKA_2018_SLKSICPAD_v01_EN_M_v01_A_ESS_FAO
| Name | Affiliation | Role |
|---|---|---|
| Agrifood Economics and Policy Division | FAO | Metadata producer |
| Statistics Division | FAO | Metadata adapted for FAM |