{"doc_desc":{"idno":"DDI_WLD_2019_GICS_v02_M","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"World Bank","role":"Documentation of the DDI"}],"prod_date":"2020-10-07","version_statement":{"version":"DDI Document  - Version 02 - (04\/21\/21)\n This version is identical to DDI_WLD_2019_GICS_v01_M but country field has been updated to capture all the countries covered by survey.\n\n OrderedDict([('@date', '2020-10-07')])"}},"study_desc":{"title_statement":{"idno":"WLD_2019_GICS_v01_M","title":"Global Investment Competitiveness Survey 2019","alt_title":"GICS 2019","identifiers":[{"type":"DOI","identifier":"https:\/\/doi.org\/10.48529\/5b2n-jk89"}]},"authoring_entity":[{"name":"World Bank Group","affiliation":""}],"production_statement":{"producers":[{"name":"Abhishek Saurav","affiliation":"World Bank Group","role":"Primary Investigator"},{"name":"Ryan Kuo","affiliation":"World Bank Group","role":"Consultant"},{"name":"Peter Kusek","affiliation":"World Bank Group","role":"TTL"}],"funding_agencies":[{"name":"World Bank Group","abbreviation":"","role":""}]},"distribution_statement":{"contact":[{"name":"Abhishek Saurav","affiliation":"World Bank Group","email":"asaurav@worldbank.org","uri":""}]},"series_statement":{"series_info":"A previous GICS was conducted in 2017."},"version_statement":{"version_date":"2020-10-07"},"study_info":{"abstract":"The Global Investment Competitiveness 2019 Survey was conducted June\u2013November 2019 through 30-minute phone interviews in the primary business language(s) of the host economies. The survey captures the experiences and perceptions of MNE affiliates on global megatrends and investment climate factors in 10 middle-income countries (MICs): Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam. The survey was administered to senior executives of foreign-owned firms. Information was collected on the companies\u2019 general characteristics, the importance and effect of global megatrends on business operations, contribution to the host economy, and the importance of investment policy factors and operational obstacles they face. The survey was designed to generate results that are representative at the country level and comparable across countries.\n\nMore information: \nhttps:\/\/www.worldbank.org\/en\/topic\/competitiveness\/publication\/global-investment-competitiveness-report-2019-2020","coll_dates":[{"start":"2019\/06\/01","end":"2019\/11\/30","cycle":""}],"nation":[{"name":"Brazil","abbreviation":"BRA"},{"name":"China","abbreviation":"CHN"},{"name":"Indonesia","abbreviation":"IDN"},{"name":"India","abbreviation":"IND"},{"name":"Mexico","abbreviation":"MEX"},{"name":"Malaysia","abbreviation":"MYS"},{"name":"Nigeria","abbreviation":"NGA"},{"name":"Thailand","abbreviation":"THA"},{"name":"Turkiye","abbreviation":"TUR"},{"name":"Viet Nam","abbreviation":"VNM"}],"geog_coverage":"Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam.","analysis_unit":"Firm, affiliate of multinational company","universe":"Firms (affiliates of multinational company) in 10 middle-income countries (MICs): Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam.","data_kind":"Sample survey data [ssd]"},"method":{"data_collection":{"sampling_procedure":"The survey represents experiences and perceptions of a representative sample of foreign-owned firms in each of 10 MICs: Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam. Each country sample comprises roughly 250 foreign-owned firms with at least five employees. In each country, roughly 125 respondent firms operate in the manufacturing sector, and roughly 125 respondent firms operate in the services sector (see tables 1 and 2 in survey report provided as related documents). The only exception is Nigeria, where because of sampling frame limitations, the sample comprises 164 respon\u00acdents (55 manufacturing and 109 services). Thus, across the 10 target countries, more than 2,400 responses were collected.\n\nSampling frames comprising partially or fully foreign-owned businesses in the 10 MICs were constructed using commercially available and proprietary sources (Dunn & Bradstreet, Orbis\/Bureau van Dijk, Sample Solutions, and others).  The frames were de-duplicated and cleaned, and data quality was enhanced using standard sample framing and data manipulation techniques. In some sampling frames, all affiliates were contacted to reach the target sample size. In others, only select affiliates were contacted before the target was reached.","sampling_deviation":"The only exception is Nigeria, where because of sampling frame limitations, the sample comprises 164 respon\u00acdents (55 manufacturing and 109 services). Thus, across the 10 target countries, more than 2,400 responses were collected.","coll_mode":"Computer Assisted Telephone Interview [cati]","coll_situation":"The World Bank Group commissioned an international survey firm, Kantar Public, to conduct 30-minute phone interviews with tar\u00acget respondents. The interviews were conducted by enumerators, and response data were entered in a computer system, a setup commonly referred to as computer-assisted telephone interviews (CATIs). The interviews were conducted in nine languages: Bahasa Indonesia, Mandarin Chinese, Cantonese Chinese, English, Portuguese, Spanish, Thai, Turkish, and Vietnamese. In addition to the main survey questions, each inter\u00acview included a screener phase to ensure the eligibility of respondents. The inter\u00acviews were conducted between June and November 2019.\n\nThe survey was piloted in all 10 countries to test the survey instrument in various lan\u00acguages and to identify effective strategies to increase response rates. The lessons from the pilot phase were used to reduce administra\u00action time and enhance overall clarity of the survey instrument.\nThe overall response rate for the survey was 9.3 percent. This response rate is consis\u00actent with the current expected range for phone-based business surveys. The main fieldwork of the survey leveraged lessons from empirical research in survey design and administration to implement the strategies described below to ensure high response rates.\n\nPotential respondents were notified by email before the survey. Building on research evidence, a prenotification email with World Bank Group and International Finance Corporation (IFC) branding was sent to poten\u00actial respondents to signal that the survey would contribute to important global policy research. The prenotification emails also directed poten\u00actial respondents to an informational website (www.investorsurvey.net) to obtain additional information about the survey, including a (view-only) copy of the survey questionnaire. These measures aimed to lower information barriers and enhance trust between respon\u00acdents and interviewers, thereby improving the likelihood of securing an interview with senior executives.\n\nAn easy-to-follow survey questionnaire was administered by well-trained profes\u00acsional CATI enumerators. The survey questionnaire, in the country\u2019s primary busi\u00acness language, was used to ensure than it could be completed within a reasonable time frame. The online read-only version of the questionnaire was available to be consulted during the interview. The fieldwork manag\u00acers and CATI enumerators were screened to ensure experience in conducting business and market research, and they underwent specific interviewer training to prepare for this survey. A questionnaire manual with detailed explanations of the questionnaire also served as a reference source while the survey was being administered.\n\nSurvey administration arrangements prior\u00acitized respondents and constraints on the time of senior executives. Sensitive to variability in typical business hours and local norms around time use, CATI enumerators attempted to establish contact and schedule interviews during conducive time periods. Survey administration arrangements such as timing of calls, language options, repeat follow-up attempts, and scheduled callbacks were implemented to maximize the likelihood of obtaining responses from the contacted sample. In case of initial failure to reach the intended respondent, 5\u201310 follow-up call attempts were made.\n\nAs a token of appreciation, respondents were promised a set of nonmonetary incen\u00actives. A key constraint to survey participation is the opportunity cost of time. Business surveys impose a net cost on respondents, requiring executives to apportion productive time away from work. Research largely supports the use of incentives as an effective means to increase response rates. To encourage potential respondents to \u201cinvest\u201d time in the survey, interviewers (a) emphasized the important policy research that the survey will inform; (b) promised to send respondents a copy of the final research report; (c) promised to send respondents a cer\u00actificate of appreciation; and (d) noted that a charitable donation would be made to the United Nations Children\u2019s Fund (UNICEF) when the target number of surveys was reached."},"analysis_info":{"response_rate":"The overall response rate for the survey was 9.3 percent. This response rate is consistent with the current expected range for phone-based business surveys. The main fieldwork of the survey leveraged lessons from empirical research in survey design and administration to implement the strategies described below to ensure high response rates."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Microdata Library","affiliation":"World Bank","email":"","uri":"microdata.worldbank.org"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\nWorld Bank Group.2020. Global Investment Competitiveness Survey (GICS) 2019. Ref: WLD_2020_GICS_v01_M. Downloaded from [uri] on [date].","conditions":"Public Use Files"}}},"tags":[{"tag":"DOI"}],"schematype":"survey"}