This file was generated on 2026-03-23 by Fariha Farjana A GENERAL INFORMATION 1. Title of the dataset: Data for the dissertation on "Innovation adoption among smallholder farmers in Bangladesh and effects on agricultural production and dietary quality" 2. Brief description of the research project and its aims: Exploring the effects of innovation on farm production and consumption outcomes 3. Author Information A. Investigator Contact Information Name: Fariha Farjana Institution: Bonn University Address: Center for Development Research, Genscherallee 3, 53113 Bonn Email: fariha@uni-bonn.de B. Supervisor Name: Professor Dr. Matin Qaim Institution: Bonn University Address: Center for Development Research Bonn, Genscherallee 3, 53113 Bonn Email: andreas.gansaeuer@uni-bonn.de C. In case of questions related to this dataset, please contact: Name: Fariha Farjana Institution: Bonn University Address: Center for Development Research Email: fariha@uni-bonn.de 4. Date of data collection: 2023 5. Information about funding sources that supported the collection of the data: DAAD and Fiat Panis 6. Language of the dataset: Bengoli 7. Geographic location of data collection: South-west region of Bangladesh B DATA & FILE OVERVIEW 1. File List: Data_Innovation_Fariha.dta: Contains data collected from field survey to examine : (i) the mean association between rice-aquaculture adoption and dietary quality of household and individuals: (ii) the data is also used to explore effects of using the internet on smallholder food production and consumption Outcomes; (iii) the effect of land fragmentation on women's time allocation and dietary quality using data_innovation.dta data set. It encapsulates all outcome variables, control variables and instrumental variables. Codebook.txt: Contains detailed variable description of Data_Innovation_Fariha.dta. Readme.txt: This file. 2. Are there multiple versions of the dataset? no 3. Relationship between files: Readme.txt file explains Data_Innovation_Fariha.dta 4. Additional related data collected that was not included in the current data package: Not applicable, as it is cross-section data C SHARING/ACCESS INFORMATION 1. Was data derived from another source? yes/no: no 2. Licenses/restrictions placed on the data: no 3. Links to publications that cite or use the data: no 4. Links to other publicly accessible locations of the data: no 5. Links/relationships to ancillary datasets: no D METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Interview method 2. Methods for processing the data: STATA 3. Instrument- and/or software-specific information needed to interpret the data: STATA 4. People involved in sample collection, processing, analysis and/or submission: Fariha Farjana 5. Describe any quality-assurance procedures performed on the data: none 6. Standards and calibration information: none 7. Environmental/experimental conditions: none E DATA-SPECIFIC INFORMATION FOR: Please check codebook.txt 1. Variable list including full names and definitions (please spell out abbreviated words) of column headings for tabular data: All the variables are explained with proper details in codebook.txt 2. Units of measurement used: mentioned 3. Missing data codes/symbols: missing data is indicated with a dot 4. Specialized formats or other abbreviations used: not applicable Previewers originally developed by QDR and maintained at https://github.com/GlobalDataverseCommunityConsortium/dataverse-previewers. Feedback and contributions welcome.