Electricity for Rural Transformation Monitoring Survey 2010, First Round
Uganda, 2010
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Feb 14, 2018
Last modified
Feb 14, 2018
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Identification
Survey ID Number
UGA-UBOS-ERT-2011-V1.0
Title
Electricity for Rural Transformation Monitoring Survey 2010, First Round
Subtitle
First Round
Country
| Name | Country code |
|---|---|
| Uganda | UGA |
Study type
Monitoring Survey
Series Information
In November 2001, the World Bank approved the Energy for Rural Transformation (ERT) programme as a three phase Adaptable Program Loan. The ERT programme is by the Government of Uganda with the vision to use energy schemes to reduce poverty and cause rural transformation. The purpose is to develop Uganda's energy and information/communication technologies (ICT) sectors so that they facilitate a significant improvement in the productivity of enterprises as well as the quality of life of households.
The objectives of the first phase of the programme (ERT 1) that was concluded in 2009 were to put in place a functioning, conducive environment and related capacity for commercially-oriented, sustainable service delivery of rural/renewable energy and ICTs.
The Monitoring and Evaluation Scheme is intended to monitor the rural transformation intermediate and final outcomes resulting from the electrification investments. The programme is expected to generate significant direct as well as indirect benefits to the beneficiaries and target institutions. Benefits could be through increased access to employment opportunities, periodic and long-term income sources, improved health care and education, improved access to clean water, communication and value addition to agricultural outputs and enhanced community participation. Indicators will be identified, based on the work already undertaken in ERT 1, to measure these input-output-outcome linkages. The full impact of the ERT programme can only be monitored when both the direct and indirect impacts are measured over the programme period.
The ERT 1 Monitoring Survey will involve randomly selecting and interviewing households in the selected sites. These respondents will be asked questions about their household characteristics, access to and utilization of grid electricity, alternatives to grid electricity, issues to do with reliability, market availability as well as the perceived cost of the different types of fuel, household appliances, household expenditure on energy and communication among other topics which will be helpful in monitoring the impact of ERT 1.
The objectives of the first phase of the programme (ERT 1) that was concluded in 2009 were to put in place a functioning, conducive environment and related capacity for commercially-oriented, sustainable service delivery of rural/renewable energy and ICTs.
The Monitoring and Evaluation Scheme is intended to monitor the rural transformation intermediate and final outcomes resulting from the electrification investments. The programme is expected to generate significant direct as well as indirect benefits to the beneficiaries and target institutions. Benefits could be through increased access to employment opportunities, periodic and long-term income sources, improved health care and education, improved access to clean water, communication and value addition to agricultural outputs and enhanced community participation. Indicators will be identified, based on the work already undertaken in ERT 1, to measure these input-output-outcome linkages. The full impact of the ERT programme can only be monitored when both the direct and indirect impacts are measured over the programme period.
The ERT 1 Monitoring Survey will involve randomly selecting and interviewing households in the selected sites. These respondents will be asked questions about their household characteristics, access to and utilization of grid electricity, alternatives to grid electricity, issues to do with reliability, market availability as well as the perceived cost of the different types of fuel, household appliances, household expenditure on energy and communication among other topics which will be helpful in monitoring the impact of ERT 1.
Abstract
The ERT 1 Monitoring Survey will involve randomly selecting and interviewing households in the selected sites. These respondents will be asked questions about their household characteristics, access to and utilization of grid electricity, alternatives to grid electricity, issues to do with reliability, market availability as well as the perceived cost of the different types of fuel, household appliances, household expenditure on energy and communication among other topics which will be helpful in monitoring the impact of ERT 1.
Household surveys provide valuable information for monitoring government programmes. Monitoring the performance and the outcomes of the ERT I interventions is critical to the evaluation of the progress made and challenges that can be remedied in ERT II.
Household surveys provide valuable information for monitoring government programmes. Monitoring the performance and the outcomes of the ERT I interventions is critical to the evaluation of the progress made and challenges that can be remedied in ERT II.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, Enterprise , Service Provider, Community
Version
Version Description
Version 1.0 (edited/final), based on data files and other material provided by Uganda Bureau of statistics on 15th august 2011
Version Date
2010
Version Notes
The ERT dataset is a subset of data obtained from UBOS. It was produced for the ERT MOnitoring survey
Scope
Notes
The primary aim of the ERT I monitoring and evaluation is to measure the impact of the ERT interventions and the rural transformation process.
The specific objective of the ERT I monitoring and evaluation survey is to measure project effectiveness and impact in terms of access services, changes in incomes and welfare and pace of implementation. Like the Baseline Survey, the ERT 1 Monitoring Survey 2010 will aim at covering the three sites that were covered namely Kisiizi, Paidha and Sironko. This survey will cover the following subjects:
Household characteristics including household composition, education, health, access to and utilization of grid electricity, alternatives to grid electricity, issues to do with reliability, market availability as well as the perceived cost of the different types of fuel, household appliances, household expenditure on energy and communication and households main source of earnings and income.
Enterprises including information on access to improved energy, reliability of energy sources, profitability of enterprises and employment, access to ICT as well as preferred energy source.
Service Providers - health, education including information on access to improved energy, reliability of energy sources, expenditure on energy sources, access to ICT as well as preferred energy source.
Community Questionnaire to gather data at the village level and enhance the linkages and analysis of the data sets
The specific objective of the ERT I monitoring and evaluation survey is to measure project effectiveness and impact in terms of access services, changes in incomes and welfare and pace of implementation. Like the Baseline Survey, the ERT 1 Monitoring Survey 2010 will aim at covering the three sites that were covered namely Kisiizi, Paidha and Sironko. This survey will cover the following subjects:
Household characteristics including household composition, education, health, access to and utilization of grid electricity, alternatives to grid electricity, issues to do with reliability, market availability as well as the perceived cost of the different types of fuel, household appliances, household expenditure on energy and communication and households main source of earnings and income.
Enterprises including information on access to improved energy, reliability of energy sources, profitability of enterprises and employment, access to ICT as well as preferred energy source.
Service Providers - health, education including information on access to improved energy, reliability of energy sources, expenditure on energy sources, access to ICT as well as preferred energy source.
Community Questionnaire to gather data at the village level and enhance the linkages and analysis of the data sets
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| EDUCATION [6] | CESSDA | Link |
| information technology [16.2] | CESSDA | Link |
| agricultural, forestry and rural industry [2.1] | CESSDA | Link |
| TRADE, INDUSTRY AND MARKETS [2] | CESSDA | Link |
| general health [8.4] | CESSDA | Link |
| specific diseases and medical conditions [8.9] | CESSDA | Link |
| social welfare systems/structures [15.2] | CESSDA | Link |
Keywords
| Keyword |
|---|
| social welfare systems/structures [15.2] |
| EDUCATION [6] |
| information technology [16.2] |
| agricultural, forestry and rural industry [2.1] |
| TRADE, INDUSTRY AND MARKETS [2] |
| general health [8.4] |
| specific diseases and medical conditions [8.9] |
| social welfare systems/structures [15.2] |
Coverage
Geographic Coverage
Like the Baseline Survey, the ERT 1 Monitoring Survey 2010 aimed at covering three (3) sites that were covered namely Kisiizi, Paidha and Sironko. Both Rural and Urban areas were covered for the survey.
Universe
The Education Institutions, Enterprises, Households, Communities and Health Institutions
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Uganda Bureau of Statistics | Ministry of Finance and Planning |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Finance,Planning and Economic Development | Government of Uganda | Participation in data collection and analysis |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| World bank | WB | Funding and technical assistance |
Sampling
Sampling Procedure
The survey was a sample survey. A sample of the population was selected and data collected from them but used to draw conclusions for the entire population. The main reason for using sample surveys instead of a complete enumeration are to reduce the time and cost of collecting information. The accuracy of a sample survey depends among other things, upon the size of the sample. Sample size was predetermined by the survey organizers according to the level of accuracy needed for the results.
The accuracy of a sample survey was also dependent upon another major factor, the absence of bias which would affect the proportions found through the sample. To control or prevent bias from creeping into the results, the selection of households included in the sample was completely random. This means that every person in the total population to be studied has an opportunity to be selected in the sample. This is why it was so important to make callbacks to reach those people who are not at home, since they may be different from people who are at home.
A two stage sampling design was used. At the first stage, a sample of about 30 Enumeration Areas (EAs)/villages has been selected from a sampling frame generated during the pre-visits to the sites. At the second stage, 10 households and 10 establishments was selected using simple random sampling from the selected EAs.
The accuracy of a sample survey was also dependent upon another major factor, the absence of bias which would affect the proportions found through the sample. To control or prevent bias from creeping into the results, the selection of households included in the sample was completely random. This means that every person in the total population to be studied has an opportunity to be selected in the sample. This is why it was so important to make callbacks to reach those people who are not at home, since they may be different from people who are at home.
A two stage sampling design was used. At the first stage, a sample of about 30 Enumeration Areas (EAs)/villages has been selected from a sampling frame generated during the pre-visits to the sites. At the second stage, 10 households and 10 establishments was selected using simple random sampling from the selected EAs.
Deviations from the Sample Design
There was no deviation from sample design.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2010-10 | 2010-11 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Each field staff selected to work on the survey worked in teams consisting of one supervisor. Supervisors and Interviewers were either male or female. Each field supervisor was responsible for one team of Interviewers. In the central office, editing officers, data entry staff and computer programmers were also be assigned to the project.
Data Collection Notes
The field staff were trained for five days. Each field staff selected to work on the survey worked in teams consisting of one supervisor, and four Interviewers. Supervisors and Interviewers were either male or female. Each field supervisor was responsible for one team of Interviewers. In the central office, editing officers, data entry staff and computer programmers were also be assigned to the project.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Uganda Bureau of Statistics | UBOS | Ministry of Finance , Planning and Economic Development |
Questionnaires
Questionnaires
(i) Household Questionnaire: it contains information about the HOusehold characteristics, individual
(ii) Enterprise Questionnaire
(iii) Service Provider Questionnaires
Education Questionnaire
Health Questionnaire
(v) Community Questionnaire
(ii) Enterprise Questionnaire
(iii) Service Provider Questionnaires
Education Questionnaire
Health Questionnaire
(v) Community Questionnaire
Data Processing
Data Editing
The data were entered in 10 microcomputers using the specially prepared software in CsPro. The data were entered at statistical offices, with 10 staff trained prior to data processing. In order to ensure quality control, the software was programmed to check the internal consistency of data entered. The Stata v.10 statistical package was used for data tabulation and analysis.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| John Baptist Male Mukasa | Uganda Bureau of Statistics | john-male.mukasa@ubos.org | www.ubos.org |
| Peter Opio | Uganda Bureau of Statistics | peter.opio@ubos.org | www.ubos.org |
| James Muwonge | Uganda Bureau of Statistics | james.muwonge@ubos.org | www.ubos.org |
Confidentiality
Confidentiality of respondents is guaranteed by Article 19 of The Uganda Bureau of Statistics Act, 1998.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
Access conditions
The dataset is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following
terms and conditions:
1.The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of Uganda Bureau of Statistics.
2.The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3.No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such
discovery would immediately be reported to Uganda Bureau of Statistics.
4. No attempt will be made to produce links among datasets provided by Uganda Bureau of Statistics, or among data from Uganda Bureau of Statistics and other datasets
that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from Uganda Bureau of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to Uganda Bureau of Statistics.
7. The original collector of the data, Uganda Bureau of Statistics, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
terms and conditions:
1.The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of Uganda Bureau of Statistics.
2.The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3.No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such
discovery would immediately be reported to Uganda Bureau of Statistics.
4. No attempt will be made to produce links among datasets provided by Uganda Bureau of Statistics, or among data from Uganda Bureau of Statistics and other datasets
that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from Uganda Bureau of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to Uganda Bureau of Statistics.
7. The original collector of the data, Uganda Bureau of Statistics, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Citation requirements
"Uganda Bureau of Statistics, Electricity for Rural Transformation Monitoring Survey 2010, Version 1.0 of the public use dataset (August 2011), provided by the Uganda National Data Archive. www.ubos.org/nada"
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| John Male Mukasa | Uganda Bureau of Statistics | john.malemukasa@ubos.org | Link |
Disclaimer and copyrights
Disclaimer
The Uganda Bureau of Statistics provide you with the data as is, without any warranty or responsibility implied. UBOS accepts no responsibility for the results and/or implications of any analysis and/or other actions conducted with this data.
Copyright
Uganda Bureau of Statistics, 2010
Metadata production
DDI Document ID
DDI-UGA-UBOS-ERT-2011-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Uganda Bureau of Statistics | UBOS | Ministry of Finance and Economic Planning | Documentation of the study |
Date of Metadata Production
2011-08-16
DDI Document version
Version 1.0 (August 2011). This documentation is based on the final dataset.