_:nb5ee6fb25c5641aebf949010db0c4c37xb0
<http://schema.org/description>
"Abstract\r\n---------------------------\r\n\r\nThe survey was conducted in Botswana between May and June 2006. Data from 342 establishments were analyzed. \n\nThe Enterprise Surveys are applied to a representative sample of firms in the non-agricultural economy. The sample is consistently defined in all countries and includes the entire manufacturing sector, the services sector, and the transportation and construction sectors. Public utilities, government services, health care, and financial services sectors are not included in the sample. Enterprise Surveys collect a wide array of qualitative and quantitative information through face-to-face interviews with firm managers and owners regarding the business environment in their countries and the productivity of their firms. The topics covered in Enterprise Surveys include the obstacles to doing business, infrastructure, finance, labor, corruption and regulation, law and order, innovation and technology, trade, and firm productivity.\r\n\r\nGeographic coverage\r\n---------------------------\r\n\r\nNational\r\n\r\nAnalysis unit\r\n---------------------------\r\n\r\nThe primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.\r\n\r\nUniverse\r\n---------------------------\r\n\r\nThe whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.\r\n\r\nKind of data\r\n---------------------------\r\n\r\nSample survey data [ssd]\r\n\r\nSampling procedure\r\n---------------------------\r\n\r\nThe sample for countries participating in the Enterprise Surveys is stratified by industry, firm size, and geographic region. \n\nFor stratification by industry, the main manufacturing sectors in each country in terms of value added, number of firms, and contribution to employment are selected. The retail trade sector is also included in all countries as a representative of the services sector, and depending on the size of the economy, the information technology (IT) sector is included. The rest of the universe is included in a residual stratum. In Botswana, Manufacturing sector included 114 firms, Retail sector - 118 companies and Other sectors (Residual) - 110 businesses. \n\nSize stratification is defined the following way: small establishments (5 to 19 employees), medium establishments (20 to 99 employees), and large establishments (more than 99 employees).\n\nRegional stratification includes the main economic regions in each country. In Botswana, regional stratification was defined by two regions: Gaborone and Francistown. \n\nThrough this methodology estimates for the different stratification levels can be calculated on a separate basis while at the same time inferences can be made for the economy as a whole, weighting individual observations by corresponding sample weights. Sample sizes for each stratification level are defined ensuring a minimum precision level of 7.5% with 95% confidence intervals for estimates with population proportions.\n\nFor more technical details on the sampling strategy, please review \"Sampling Methodology\" in \"Technical Documents\" folder.\r\n\r\nMode of data collection\r\n---------------------------\r\n\r\nFace-to-face [f2f]\r\n\r\nResearch instrument\r\n---------------------------\r\n\r\nThe current survey instruments are available:\n- Core Questionnaire + Manufacturing Module; \n- Core Questionnaire + Retail Module;\n- Core Questionnaire. \n\nMost of the questions in all three questionnaires are the same. \n\nThe “Core Questionnaire” is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the “Core Questionnaire + Manufacturing Module” and the “Core Questionnaire + Retail Module.” The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth. \n\nThe standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, informality, business-government relations, conflict resolution and legal environment, innovation and technology, and performance measures. The questionnaires also assess respondents’ opinions on what are the obstacles to firm growth and performance.\r\n\r\nCleaning operations\r\n---------------------------\r\n\r\nData entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments."
<https://microdata.worldbank.org/index.php/catalog/480/study-description>