Transition to Clean Energy Enterprise Survey- Morocco, TCEESM_2023

MAR_TCEES_2023_V1 Transition to Clean Energy Enterprise Survey- Morocco, TCEESM_2023 Transition to clean Energy Enterprise Survey (ENT\ TCEES) Transition to Clean Energy Enterprise Survey -Morocco is one of five surveys, that include Egypt, Jordan, Morocco, Tunisia, and Lebanon. The data were collected at one time in 2023 in the five countries. 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. This 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 Morocco. The data is collected under a comprehensive cross-sectional survey (from SEP to NOV 2023) that investigates how Micro, Small, and Medium Enterprises (MSMEs) in Morocco navigate their transition towards clean energy. This survey comes under the activities of ERF newly launched project “The role of MSMEs in fostering inclusive and equitable economic growth in the context of the clean energy transition in MENA” 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 This 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. All 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. Sample Survey Data [ssd] Enterprises V1: Version 1 of Transition to Clean Energy Enterprise Survey -Morocco, prepared by Economic Research Forum for public dissemination. 2024-03 The Transition to Clean Energy Enterprise Survey -Morocco includes a questionnaire that covers: 1. 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’s sales and supplies. 2. 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. 3. The enterprise’s 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. 4. The enterprise's willingness to pay for clean energy solutions and their potential adoption. 5. Assessment of the company’s 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. National The target population is the non-governmental micro, small, and medium enterprises that commenced business operations before 2023. 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 Morocco. Therefore, we used data from Morocco Yellow Pages (Télécontact) - (https://www.telecontact.ma). We had access to the complete list of about 72,644 businesses from a broad list of business sectors in three regions (Casa-Rabat, Nord, and Sud). The available digital copy of the list could not be readily used for sampling purposes. A pdf version of the frame was used instead. All pages were selected within each region, and systematic random samples of 30 businesses were selected from each page for the survey. The frame included business names, addresses and telephone numbers. Response rate is 7.6%, after excluding those phones that were not in service and firms that were not eligible from the response rate. 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 of businesses was selected from all the frame pages, the design weights were calculated as the inverse of the overall selection probability of businesses Note: there are more details on the weights and sampling in the "Transition to Clean Energy Enterprise Survey - Morocco_Sampling design and weighting" document in the documentation tab. Note: The questionnaire can be seen in the documentation materials tab. Licensed datasets, accessible under conditions. The users should cite the Economic Research Forum as follows: "OAMDI, 2024. Transition to Clean Energy Enterprise Survey 2023, TCEES, http://www.erfdataportal.com/index.php/catalog. Version 1.0 of the licensed data files; Morocco -TCEESM. Egypt: Economic Research Forum (ERF)." 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. (c) 2024, Economic Research Forum MAR_TCEES_2023_V1 2024-03 Version 1.0