{"doc_desc":{"title":"Transition to Clean Energy Enterprise Survey - Tunisia-1-4-2024","idno":"TUN_TCEES_2023_V1","producers":[{"name":"Economic Research Forum","abbreviation":"ERF","affiliation":"","role":""}],"prod_date":"2024-04","version_statement":{"version":"Version 1.0"}},"study_desc":{"title_statement":{"idno":"TUN_TCEES_2023_V1","title":"Transition to Clean Energy Enterprise Survey-Tunisia, TCEEST_2023"},"authoring_entity":[{"name":"Economics Research Forum","affiliation":"ERF"}],"production_statement":{"copyright":"(c) 2024, Economic Research Forum","funding_agencies":[{"name":"International Development Research Centre","abbreviation":"IDRC","role":""}]},"distribution_statement":{"contact":[{"name":"Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt","affiliation":"","email":"erfdataportal@erf.org.eg","uri":"www.erf.org.eg"}]},"series_statement":{"series_name":"Transition to clean Energy Enterprise Survey (ENT\\ TCEES)","series_info":"Transition to Clean Energy Enterprise Survey -Tunisia is one of five surveys, that include Egypt, Jordan, Morocco, Tunisia, and Lebanon. The data were collected at one time in 2023-2024 in the five countries."},"version_statement":{"version":"V1: Version 1 of Transition to Clean Energy Enterprise Survey -Tunisia,  prepared by Economic Research Forum for public dissemination.","version_date":"2024-04"},"study_info":{"abstract":"The MENA region grapples with intensified climate challenges and mounting energy issues. Access to energy is becoming more challenging, particularly for energy importing countries in the region. This makes the transition to clean energy in MENA a vital one. Luckily, the region has inherent comparative advantages given the natural endowments of high solar radiation over much of the year and strong wind nodes.\n\nThis data set, collected over one round, covers a spectrum of company-specific details, including sector categorization, employee count, regulatory compliance, experiences with grid-based electricity, and the extent of clean energy transition among enterprises in Tunisia. The data is collected under a comprehensive cross-sectional survey (from December 2023 to February 2024) that investigates how Micro, Small, and Medium Enterprises (MSMEs) in Tunisia navigate their transition towards clean energy.\n\nThis survey comes under the activities of ERF newly launched project \u201cThe role of MSMEs in fostering inclusive and equitable economic growth in the context of the clean energy transition in MENA\u201d project funded by IDRC.  The project launches a series of quantitative national surveys in the 5 targeted counties namely Egypt, Jordan, Morocco, Lebanon and Tunisia\n\nThis initiative aims to gather crucial data reflecting the ongoing energy transition in these countries. The objective of this survey data aims at enhancing knowledge and contributing to strategic policy initiatives, seeking to pave the way for sustainable, efficient, and equitable energy management while addressing mitigation of emission and ensuring energy security and equity.\n\nAll Transitions to Clean Energy in MENA Enterprises surveys incorporate relatively comparable survey designs, with data on enterprises within the Arab countries (Egypt, Jordan, Morocco, Tunisia, and Lebanon).The harmonization was designed to create comparable data that can facilitate cross-country and comparative research between the five Arab countries.","coll_dates":[{"start":"2023-12","end":"2024-02","cycle":""}],"nation":[{"name":"Tunisia","abbreviation":"TUN"}],"geog_coverage":"National","analysis_unit":"Enterprises","universe":"The target population is the non-governmental micro, small, and medium enterprises that commenced business operations before 2023.","data_kind":"Sample Survey Data [ssd]","notes":"The Transition to Clean Energy Enterprise Survey -Tunisia includes a questionnaire that covers:\n1. Enterprise details such as the number of employees in the establishment, the main sector of activity, the location, the ownership structure of the establishment, and establishment\u2019s sales and supplies.\n2. The financial status of the enterprise, loans and whether access to finance is a problem, the use of internet and banking services,  and recieving payments.\n3. The enterprise\u2019s experience of getting electricity from the grid, including outages and their impact, paying bills, and the use of alternative power sources such as generators and rechargeable batteries.\n4. The enterprise's willingness to pay for clean energy solutions and their potential adoption.\n5. Assessment of the company\u2019s access to information about weather, backup generation technologies, tariff changes, fuel price changes and the repsonsents' views on government subsidies, responsibility for access to electricity whether it was from fossil fuels or renewable energy."},"method":{"data_collection":{"data_collectors":[{"name":"PHI Field & Tab","abbreviation":"PHI","affiliation":""}],"sampling_procedure":"The target population of the surveys was businesses with less than 100 employees that started business operations before 2023. An ideal sampling frame for a probability sample should cover all target population units, i.e., a list of all working businesses of size 100 employes or less that started operations before 2023 with their telephone numbers. Unfortunately, we could not find such list in Tunisia. Therefore, we used data from Tunisia Yellow Pages, and data from the Institut National de la Statistique (INS). We had access to a list of about 185,966 businesses from INS and 8,685 businesses from the Yellow Pages. Although the sampling frames does not necessarily cover all businesses in Tunisia, it is large enough and cover many business sectors. Unfortunately, we could not assess the coverage of the sampling frame especially with the lack of official numbers about our target population in Tunisia.\nFour sample were selected for the survey of Renewable Energy in Tunisia, three sample from the INS frame and one sample from the Yellow Pages. The three samples of INS were stratified by sample sectors and business size; those samples were selected from businesses with telephone numbers (businesses without telephone number were not considered for selection). All businesses from the Yellow Pages were included in the fourth sample; no selection was done.","coll_mode":"Computer Assisted Telephone Interview [cati]","research_instrument":"Note: The questionnaire can be seen in the documentation materials tab.","weight":"The weight calculations started by calculating design weights that reflect the selection probabilities of selecting the businesses from the sampling frame. Because a simple systematic sample was selected from the INS frame, the design weights were calculated as the inverse of the overall selection probability of businesses \n\nNote: there are more details on the weights and sampling in the \"Transition to Clean Energy Enterprise Survey - Tunisia_Sampling design and weighting\" document in the documentation tab."},"analysis_info":{"response_rate":"Response rate is 3.5%, after excluding those phones that were not in service and firms that were not eligible from the response rate."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"To access the micro-data, researchers are required to register on the ERF website and comply with the data access agreement. The data will be used only for scholarly, research, or educational purposes. Users are prohibited from using data acquired from the Economic Research Forum in the pursuit of any commercial or private ventures.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Economic Research Forum","affiliation":"ERF","email":" erfdataportal@erf.org.eg","uri":"www.erf.org.eg"}],"cit_req":"The users should cite the Economic Research Forum as follows:\n\"OAMDI, 2024. Transition to Clean Energy Enterprise Survey, TCEES 2023, http:\/\/www.erfdataportal.com\/index.php\/catalog. Version 1.0 of the licensed data files; Tunisia -TCEEST. Egypt: Economic Research Forum (ERF).\"","conditions":"Licensed datasets, accessible under conditions.","disclaimer":"The Economic Research Forum has granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data."}}},"schematype":"survey"}