SUSTAINABLE BUSINESS MODELS IN ENHANCING REGIONAL PRODUCT COMPETITIVNESS

Article author: 
Viktor Koval, Liudmyla Aleksieienko- Lemovska, Inesa Mikhno
Year the article was released: 
2023
Edition in this Year: 
1
Article abstract: 

SUSTAINABLE BUSINESS MODELS IN ENHANCING REGIONAL PRODUCT COMPETITIVNESS

Abstract: The study analyzes the problem of implementing the green economy to improve
the regional level of product competitiveness and examines business models for
achieving sustainable development. When analyzing modern business models, a model
of a “green” economy is proposed that allows resource efficiency in the economic
space of the region. The activity of an enterprise planning the implementation of a
green economy model is considered, and it focuses on certain areas of action that can
increase the level of competitiveness of its products. The study analyzes areas of resource
optimization, one of which is the existence of common pool resources. Citizens
of different countries were surveyed on their attitudes toward common pool resources’
state and quality. It is concluded that there are not enough resources to finance the
green sector, and there is a problem with monitoring the common-pool resources. At
the same time, most respondents wish to privately own common-pool resources, which
indicates the particularities of national culture, distrust of government, and efficient
use of resources in private ownership, namely the desire to serve certain enterprises
alone or their households to obtain individual utility rather than optimize the available
resources. It concluded that it is necessary to develop environmental awareness
and responsibility in the population, which can positively affect the regional level of
competitiveness of products and increase the level of education of citizens, to adopt
non-formal education in the country, optimize all existing systems that would be based
on innovations, and reduce the negative environmental footprint.
 
Keywords: competitiveness, green economy, common-pool resources, optimization of
resources, environmental impact.