Transition to Clean Energy Enterprise Survey- Jordan, TCEESJ_2023

JOR_TCEES_2023_V1 Transition to Clean Energy Enterprise Survey- Jordan, TCEESJ_2023 Transition to clean Energy Enterprise Survey (ENT\ TCEES) Transition to Clean Energy Enterprise Survey - Jordan 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 faces heightened climate challenges and growing energy issues, especially for energy-importing countries. The transition to clean energy in MENA is crucial, and the region holds inherent comparative advantages due to its natural resources, such as high solar radiation and strong wind nodes. This dataset, collected in one round, includes various company-specific details-sector categorization, employee count, regulatory compliance, experiences with grid-based electricity, and the extent of clean energy transition among enterprises in Jordan. The data was collected through a comprehensive cross-sectional survey conducted from September to November 2023, exploring how Micro, Small, and Medium Enterprises (MSMEs) in Jordan are transitioning to clean energy. The survey is part of the activities under the newly launched ERF project, 'The Role of MSMEs in Fostering Inclusive and Equitable Economic Growth in the Context of the Clean Energy Transition in MENA,' funded by IDRC. The project involves a series of quantitative national surveys in five targeted countries: Egypt, Jordan, Morocco, Lebanon, and Tunisia. The initiative aims to gather crucial data reflecting the ongoing energy transition in these countries. The survey data's objective is to enhance knowledge and contribute to strategic policy initiatives, with the goal of promoting sustainable, efficient, and equitable energy management. This includes addressing emission mitigation, ensuring energy security, and promoting equity. All these Surveys on Transitions to Clean Energy in MENA Enterprises follow relatively comparable designs, collecting data on enterprises within the Arab countries (Egypt, Jordan, Morocco, Tunisia, and Lebanon). This harmonization is intended to create comparable data, facilitating cross-country and comparative research among the five Arab countries Sample Survey Data [ssd] Enterprises V1: Version 1 of Transition to Clean Energy Enterprise Survey - Jordan, prepared by Economic Research Forum for public dissemination. 2023-12 The Transition to Clean Energy Enterprise Survey - Jordan 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, and the use of internet and banking services. 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. For the sampling frame, we used data from Kinz which is a website for a data mining Jordanian corporate. The website grant access to subscribers. We had access to the complete list of about 82,000 businesses from 15 broad business sectors. Lists of businesses are presented in about 8,206 pages (10 businesses per page).We directly selected the sample from the Kinz webpages,where a random sample of pages within each business sector was selected for the survey, and all businesses in the selected pages were contacted. A stratified sample of 5,884 businesses were selected. The sample was stratified according to 15 business sectors. The sample was selected in two stages; in the first stage, 600 pages were selected from the Kinz website, where the selected pages were proportionally distributed to the distribution of all pages by business secto. In the second stage, all businesses in selected pages were contacted. Response rate is 19.9%, 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. Frame pages were selected within each business sector, and all businesses with in selected pages were called. Therefore, the design weights were calculated as the inverse of the overall selection probability of businesses. The design weights were adjusted for nonresponse among eligible phone numbers, including numbers without known eligibility. Note: there are more details on the weights and sampling in the "Transition to Clean Energy Enterprise Survey - Jordan _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, 2023. Transition to Clean Energy Enterprise Survey, TCEES 2023, http://www.erfdataportal.com/index.php/catalog. Version 1.0 of the licensed data files; Jordan -TCEESJ. 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) 2023, Economic Research Forum JOR_TCEES_2023_V1 2023-12 Version 1.0