Competitiveness Environment Survey in Kazakhstan

Description

This dataset is based on a firm-level survey. The sample includes 89 businesses located in different regions of Kazakhstan. The survey was generated using Google Forms and distributed mostly via social networks. The survey was conducted in 2016 (January-May). This dataset provides information about businesses and the quality of the business environment with a focus on competitiveness and governmental support. This survey aims to establish a picture of conditions for doing business in Kazakhstan in 2016. The survey was in three languages, English, Russian and Kazakh. Non-English language responses were translated to English mostly using Google Translate and were checked by the authors. All identifying information, including company name and work address, were removed.

Resource Type:	Dataset
Creators:	Azhgaliyeva, Dina, Belitski, Maksim and Kalyuzhnova, Yelena
Rights-holders:	University of Reading
Data Publisher:	University of Reading
Publication Year:	2017
Data last accessed:	22 December 2024
DOI:	https://doi.org/10.17864/1947.113
Metadata Record URL:	https://researchdata.reading.ac.uk/id/eprint/113
Organisational units:	Henley Business School > Leadership, Organisations and Behaviour
Participating Organisations:	University of Reading, Kazakh-British Technical University
Keywords:	Kazakhstan, Government support, Local content policy
Rights:	Creative Commons Attribution 4.0 International
Data Availability:	OPEN
Additional details Additional details Project Name: Local Content Impact: Economic Development, Technology and Entrepreneurship in Kazakhstan's Energy Value Chain. Developing a Centre for Competitiveness in Kazakhstan. Funders: British Council (172697816) Resource Language: English Collection period: From 1 January 2016 To 30 May 2016 Geographic coverage: Kazakhstan Data collection method: Questions were provided in three languages: English, Russian and Kazakh. Surveys were generated in Google Forms and distributed via social networks by authors. Results are entered by respondents. Data processing and preparation activities: Non-English language responses were translated from Russian to English mainly using Google Translate and by the authors. All identifying information, including company name and work address, were removed. Blank sections where answers were not provided have been replaced with "No answer". Depositing User: Dr Dina Azhgaliyeva Date Deposited: 28 Apr 2017 13:11 Last Modified: 20 Dec 2023 05:19