Siberian Journal of Life Sciences and Agriculture (Oct 2022)

RISKS OF SMALL BUSINESS DEVELOPMENT IN THE FIELD OF AGRICULTURE FOR PEOPLE WITH DISABILITIES IN RUSSIA

  • Grigory A. Trunin,
  • Mikhail G. Osokin

DOI
https://doi.org/10.12731/2658-6649-2022-14-5-349-367
Journal volume & issue
Vol. 14, no. 5
pp. 349 – 367

Abstract

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Purpose. To investigate the risk factors of starting a business in agriculture for entrepreneurs with disabilities in Russia. Materials and methods. A survey of 2052 disabled people was conducted (accepted 1979 questionnaires for analysis). A semi-structured personal interview was conducted with 71 respondents with business experience to identify risk factors. Qualitative primary research is based on in-depth interviews with 9 respondents. The respondents had business experience in the field of agriculture. Results. The research shows that 31.5% of respondents have business experience. The conducted interview allowed us to identify 12 barriers to starting an entrepreneurial activity, the key ones are: loss of health, problems with sales, fear of losing your own savings, high taxation. In-depth interviewing allowed us to identify nine risk factors: 1. High labor costs with low profitability. 2. Risks of loss of health and active activity of the initiator of the project. 3. Direct or indirect discrimination. 4. Problems of arrangement of daily life and everyday life. 5. Poor level of economic training and education. 6. Insufficient knowledge in the field of marketing and sales. 7. Low level of support for projects by society and the inner circle. 8. Weak information support and broadcasting of positive experience. 9. Increased financial risks of entrepreneurs with disabilities. Conclusion. Our clarification of the risks of small business development in the field of agriculture by entrepreneurs with disabilities makes it possible to: increase the effectiveness of state programs to support entrepreneurs with disabilities, improve training programs for entrepreneurs with disabilities and improve the accuracy of financial modeling.

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