{"type":"survey","doc_desc":{"title":"LAO_2012_ES_v01_M","idno":"DDI_LAO_2012_ES_v01_M","producers":[{"name":"Data Development Group","abbreviation":"DECDG","affiliation":"World Bank","role":"Documentation of the survey micro- and metadata in DDI format"}],"prod_date":"2013-03-21","version_statement":{"version":"First version of metadata and external resources description."}},"study_desc":{"title_statement":{"idno":"LAO_2012_ES_v01_M","title":"Enterprise Survey 2012","alt_title":"ES 2012"},"authoring_entity":[{"name":"World Bank","affiliation":""}],"production_statement":{"funding_agencies":[{"name":"World Bank","abbreviation":"","role":""}]},"distribution_statement":{"contact":[{"name":"Enterprise Analysis Unit","affiliation":"World Bank","email":"enterprisesurveys@worldbank.org ","uri":""}]},"series_statement":{"series_name":"Enterprise Survey [en\/oth]","series_info":"An Enterprise Survey is a firm-level survey of a representative sample of an economy's private sector. Firm-level surveys have been conducted since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit. The Enterprise Surveys are conducted across all geographic regions and cover small, medium, and large companies. The surveys are administered to a representative sample of firms in the non-agricultural formal private economy. Data are used to create indicators that benchmark the quality of the business and investment climate across countries."},"version_statement":{"version":"First version of the dataset"},"study_info":{"abstract":"This research was carried out in Lao PDR between May and October 2012 as a joint Enterprise Survey and Skills Toward Employment and Productivity (STEP) survey, and included a large panel component based on the 2009 data collection efforts. \n\nThe objective of Enterprise Surveys is to obtain feedback from businesses on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries. \n\nFor Lao PDR 2012 study additional interviews were conducted in the following sectors: mining and quarrying, electricity, gas and water supply, financial intermediation, real estate, and education. The observations collected in these sectors were not used to compute indicators shown on the Enterprise Surveys website (www.enterprisesurveys.org) as they are not comparable to other countries surveyed.","coll_dates":[{"start":"2012-05","end":"2012-10","cycle":""}],"nation":[{"name":"Lao PDR","abbreviation":"LAO"}],"geog_coverage":"Vientiane Capital, Champasack, Luang Prabang, Luang Namtha, Khammouane, and Savannakhet.","geog_unit":"Regions covered are selected based on the number of establishments, contribution to employment, and value added. In most cases these regions are metropolitan areas and reflect the largest centers of economic activity in a country.","analysis_unit":"The primary sampling unit of the study is an establishment.The 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.","universe":"The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this 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. \n\nIn addition to the sectors common to the global methodology for the Enterprise Survey, additional interviews were conducted in the following sectors: Mining and Quarrying (group C), Electricity, gas and water supply (group E), Financial intermediation (group J), Real estate (group K), and Education (group M).","data_kind":"Sample survey data [ssd]","notes":"The scope of the study includes:\n- characteristics of establishments;\n- infrastructure;\n- sales and supplies;\n- competition and innovation;\n- capacity;\n- land and permits;\n- security (crime);\n- finance;\n- business-government relations;\n- labor;\n- business environment;\n- workers' skills;\n- workers' training;\n- education."},"method":{"data_collection":{"data_collectors":[{"name":"EDC Consulting","abbreviation":"","affiliation":""}],"sampling_procedure":"The sample for Lao PDR was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region. \n\nIndustry stratification was designed in the way that follows: the universe was stratified into 23 manufacturing industries, 2 services industries; retail, and other services as defined in the sampling manual. Additional stratification took place in the following sectors: mining and quarrying (group C), electricity, gas and water supply (group E), financial intermediation (group J), real estate (group K), and education (group M). \n\nSize stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal\/casual\/part-time employment is not a common practice, except in the sectors of construction and agriculture. \n\nRegional stratification was defined in six regions: Vientiane Capital, Champasack, Luang Prabang, Luang Namtha, Khammouane, and Savannakhet. \n\nOne frame was used for Lao PDR. The sample frame used in Lao PDR was obtained from the \"Preliminary Survey in the Business Sector\" (2008), maintained by the National Statistic Centre, Department of Statistics under the Ministry of Planning and Investment, Government of Lao PDR. This listing was updated by the Department of Statistics in 2012 as part of the implementation of this survey. \n\nThe enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 380 establishments with five or more employees.\n\nThe quality of the frame was assessed at the onset of the project through calls to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. Due to response rate and ineligibility issues, additional sample had to be extracted by DCS and the World Bank in order to obtain enough eligible contacts and meet the sample targets. \n\nGiven the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 14% (116 out of 830 establishments).","coll_mode":"Face-to-face [f2f]","research_instrument":"Only one questionnaire was used for all sectors. This questionnaire had two versions: one for manufacturing and one for services firms. This questionnaire was also split into two sections with one containing the standard Enterprise Survey questions and the second containing the STEP skills, training, and education questions. \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, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country\u2019s business environment. The remaining questions assess the survey respondents\u2019 opinions on what are the obstacles to firm growth and performance.","coll_situation":"Private contractors conduct the Enterprise Surveys on behalf of the World Bank. Due to sensitive survey questions addressing business-government relations and corruption-related topics, private contractors are preferred over any government agency or an organization\/institution associated with government, and are hired by the World Bank to collect the data.\n\nThe Enterprise Surveys are usually implemented following a two-stage procedure. In the first stage, a screener questionnaire is applied over the phone to determine eligibility and to make appointments; in the second stage, a face-to-face interview takes place with the Manager\/Owner\/Director of each establishment. All Enterprise Surveys are conducted in the local languages.","act_min":"Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in \"Description of Sri Lanka Implementation\" in external resources.","weight":"For some units it was impossible to determine eligibility because the contact was not successfully completed. Consequently, different assumptions as to their eligibility result in different universe cells' adjustments and in different sampling weights. Three sets of assumptions were considered:\n\na- Strict assumption: eligible establishments are only those for which it was possible to directly determine eligibility. \n\nb- Median assumption: eligible establishments are those for which it was possible to directly determine eligibility and those that rejected the screener questionnaire or an answering machine or fax was the only response. Median weights are used for computing indicators on the www.enterprisesurveys.org website.\n\nc- Weak assumption: in addition to the establishments included in points a and b, all establishments for which it was not possible to finalize a contact are assumed eligible. This includes establishments with dead or out of service phone lines, establishments that never answered the phone, and establishments with incorrect addresses for which it was impossible to find a new address.  Note that under the weak assumption only observed non-eligible units are excluded from universe projections.","cleaning_operations":"Data 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."},"analysis_info":{"response_rate":"The number of contacted establishments per realized interview was 2.27. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.043.\n\nItem non-response was addressed by two strategies:\na- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don\u2019t know.\nb- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.\n\nSurvey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times\/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"Confidentiality of the survey respondents and the sensitive information they provide is necessary to ensure the greatest degree of survey participation, integrity and confidence in the quality of the data. Surveys are usually carried out in cooperation with business organizations and government agencies promoting job creation and economic growth, but confidentiality is never compromised.","required":"yes","form_no":"","uri":""}],"cit_req":"The use of the datasets must be acknowledged using a citation which would include:\n- the identification of the Primary Investigator (including country name);\n- the full title of the survey and its acronym (when available), and the year(s) of implementation;\n- the survey reference number;\n- the source and date of download (for datasets disseminated online).\n\nExample:\n\nWorld Bank. Lao PDR Enterprise Survey (ES) 2012, Ref. LAO_2012_ES_v01_M. Dataset downloaded from [URL] on [date].","conditions":"Aggregate indicators based on Enterprise Survey data are available to the public at https:\/\/www.enterprisesurveys.org \n\nFirm-level data is also available to the public free-of-charge. In order to access the firm-level data, users must agree to abide by a strict confidentiality agreement available through Enterprise Analysis Unit website by clicking on \"External users register here\" at https:\/\/www.enterprisesurveys.org\/Portal","disclaimer":"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."}}},"schematype":"survey","tags":[{"tag":"DOI"}],"data_files":[{"file_id":"F2","file_name":"Laos-2012-full data-","description":"The file contains the cleaned, raw database.","case_count":379,"var_count":478,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null}],"variables":[{"file_id":"F2","vid":"V479","name":"id2009","var_intrvl":"contin","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"1","loc_end_pos":"4","loc_width":"4","loc_rec_seg_no":"1","labl":"id2009","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"172","type":"vald","wgtd":null},{"value":"207","type":"invd","wgtd":null},{"value":"15","type":"min","wgtd":null},{"value":"2862","type":"max","wgtd":null},{"value":"1432.116","type":"mean","wgtd":null},{"value":"866.167","type":"stdev","wgtd":null}],"var_txt":null,"var_catgry":[],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"15","max":"2862"},"fid":"F2"},{"file_id":"F2","vid":"V480","name":"Global","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"5","loc_end_pos":"28","loc_width":"24","loc_rec_seg_no":"1","labl":null,"var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"379","type":"vald","wgtd":null},{"value":"0","type":"invd","wgtd":null}],"var_txt":null,"var_catgry":[{"value":"Other non-Global Sectors","labl":null,"is_missing":null,"stats":[{"value":"143","type":"freq","wgtd":null}]},{"value":"Yes","labl":null,"is_missing":null,"stats":[{"value":"236","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"character","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null},"fid":"F2"},{"file_id":"F2","vid":"V481","name":"a0","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"29","loc_end_pos":"29","loc_width":"1","loc_rec_seg_no":"1","labl":"a.0 Questionnaire","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":"CONTROL INFORMATION [TO BE COMPLETED BEFORE INTERVIEW]","var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":"Questionnaire used in the interview. 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Employees above the working-supervisor level are excluded from this item. \n\nNumber of permanent, full-time non-production employees are those employees not engaged in fabricating, processing, assembling, inspecting, receiving, storing, handling, packing, warehousing, shipping (but not delivering), maintenance, repair, product development, auxiliary production for plant's own use (e.g., power plant), recordkeeping, and other services closely associated with these production operations. Managers and other supervisory personnel with responsibilities for the performance of shop floor supervisors and below are included. 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Formal training may include classroom work, seminars, lectures, workshops, and audio-visual presentations and demonstrations. This does not include training to familiarize employees with equipment and machinery on the shop floor, training aimed at familiarizing employees with the establishment's standard operation procedures, or employee orientation at the beginning of an employee's tenure. 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