{"doc_desc":{"title":"Micro Investment Climate Survey 2006","idno":"DDI_IND_2006_ICSM_v01_M_WB","producers":[{"name":"Antonina Redko","abbreviation":"","affiliation":"","role":""},{"name":"","abbreviation":"","affiliation":"","role":""}],"version_statement":{"version":"v01"}},"study_desc":{"title_statement":{"idno":"IND_2006_ICSM_v01_M_WB","title":"Micro Investment Climate Survey 2006","alt_title":"ICSM 2006"},"authoring_entity":[{"name":"World Bank","affiliation":""},{"name":"","affiliation":""},{"name":"","affiliation":""}],"oth_id":[{"name":"","affiliation":"","email":"","role":""},{"name":"","affiliation":"","email":"","role":""}],"production_statement":{"producers":[{"name":"","affiliation":"","role":""}],"funding_agencies":[{"name":"World Bank","abbreviation":"","role":""}]},"distribution_statement":{"contact":[{"name":"","affiliation":"","email":"enterprisesurveys@worldbank.org ","uri":""}]},"series_statement":{"series_name":"Enterprise\/Establishment Survey [en\/oth]","series_info":"The Investment Climate Surveys (ICS) were conducted by the World Bank and its partners across all geographic regions and covered firms of all sizes in many industries. The ICS collected a wide array of qualitative and quantitative information through face-to-face interviews with managers and owners regarding the investment climate in their country and the productivity of their firms. \n\nFirm-level surveys have been carried out since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit (FPDEA). Enterprise Surveys, a replacement for Investment Climate Surveys, are now conducted by the Enterprise Analysis Unit."},"study_info":{"abstract":"This research is part of India 2006 Investment Climate Survey initiative that focused on enterprises in the manufacturing, retail, micro (unorganized), and software\/information technology sectors. A separate survey was conducted for each sector. \n\nIndia 2006 Micro Investment Climate Survey targeted establishments with 10 or fewer full-time paid employees. The research covered 1549 manufacturing enterprises from Delhi, Ludhiana, Mumbai, Thane, Howrah and Hyderabad. The following industries were surveyed: auto components, drugs and pharmaceuticals, chemicals, electrical goods, electronics, food processing, garments, leather, textiles, metal and machine tools. \n\nUnorganized (micro) manufacturing employs the vast majority of India's manufacturing workforce. Unorganized manufacturing firms are not integrated into the supply chain, thus limiting the transfer of technology. Possibly due to the legacy of the small scale reservation policy, much of the manufacturing activity in the unorganized sector is geared toward producing final products for the consumer market, rather than intermediate products and parts for the organized sector.\n\nBeing part of the organized sector, often referred to as the \u201cformal sector,\u201d increases a firm's bargaining power (for example, it has easier access to finance). However, international experience suggests that despite the advantages, unorganized enterprises often wish to remain informal, because organized firms are subject to more regulations. In India, the 10-worker threshold is especially important because labor laws on wages and benefits are applied to units above this size. Firms can avoid being part of the organized sector in two ways: operating \u201cunder the radar\u201d by simply not registering, or by not growing.\n\nThe Investment Climate Surveys (ICS) collected information on the investment climate constraints the sectors faced, such as infrastructure, access to land, relationship with the court system, crime, government administration, use of financial services, and labor force. In addition, the surveys collected basic information on the firms, such as ownership structure, number of years of operations, and revenues and costs. The data and results from the ICS were intended to help develop policy reforms that would further promote growth and productivity of firms in India.","coll_dates":[{"start":"2006","end":"2006","cycle":""}],"nation":[{"name":"India","abbreviation":"IND"}],"geog_coverage":"National","data_kind":"Sample survey data [ssd]"},"method":{"data_collection":{"data_collectors":[{"name":"Marketing &  Development Research Associates","abbreviation":"MDRA","affiliation":""}],"sampling_procedure":"Micro enterprises were identified as establishments with 10 or fewer full-time paid employees. \n\nThe closest and most relevant data on the micro (unorganized) sector was 56th round of data provided by National Sample Survey Office (NSSO). These data have been chosen as the base frame for sampling. \n\nThe following steps were used to select cities in the sample: \n\nStep 1: Identification of states: For each of the manufacturing subsectors, seven states with maximum number of manufacturing units were identified. Delhi, a city-state, was considered for selection despite having a relatively low proportion of units when compared with other, bigger states in the country.\n\nStep 2: Selection of cities: In each identified state, districts having a large number of manufacturing units in each subsector were identified.\n\nStep 3: Selection of cities for each manufacturing subsector. For final selection of districts for each manufacturing subsector, the following criteria were applied:\n\u2022 Maximum availability of each specific manufacturing subsector in districts;\n\u2022 Appropriate coverage of each region in the country. The following six cities across four regions were selected: North (Delhi and Ludhiana), West (Mumbai and Thane), East (Howrah), and South (Hyderabad);\n\u2022 To cover the manufacturing subsectors underrepresented in the selected cities (for example, chemicals and leather), two additional cities were identified where these subsectors were easily available: Bangalore and Kanpur. These two additional cities also served as reserve cities in case some manufacturing subsectors were not available in a sufficient number in the main cities. \n\nEach city was split into clusters that were designated as \"industrial clusters\" or where these types of enterprises were most likely to operate. This was done through discussions with municipal, government, trade organizations and chambers of commerce. Once these clusters were selected, snowballing techniques were applied to identify enterprises in various industry sectors. \n\nAfter discussions with local trade experts, a quota was fixed for each of the three types of enterprises based on size: household enterprises, tiny enterprises (<= 5 employees), and micro enterprises (>5 and <=10 employees). \n\nTo obtain the sample size for each manufacturing subsector in each of the selected cities, the following steps were followed:\n\u2022 Meet the proportion of each manufacturing subsector;\n\u2022 Meet the proportion of each manufacturing subsector in each of the selected cities;\n\u2022 Some adjustments were made to ensure that there would be no oversampling in some cities and manufacturing subsectors, and to include those subsectors that were not covered by the NSSO in the 56th round (auto components, drugs and pharmaceuticals, and so on). These adjustments were done based on past experience and subjective judgments.","coll_mode":"Face-to-face [f2f]","research_instrument":"The current survey instrument is available:\n- Micro Investment Climate Survey Questionnaire."}},"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":"Where necessary please site the source as \"Enterprise Analysis Unit - World Bank Group www.enterprisesurveys.org\"","conditions":"Firm-level data is available to the public free-of-charge. In order to access the 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"}}},"schematype":"survey","tags":[{"tag":"DOI"}]}