Economic Aspects of Sustainable Development: Eco-Branding in Manufacturing Enterprises from Kazakhstan

Economic science provides a rich methodological toolkit for sustainable development combined with the principles of the circular economy and green marketing. The practical adaptation of a set of assessment tools helped the realisation of the goal of this study in the form of the systematisation of interaction factors between economic growth and environmental branding of industrial companies in the Republic of Kazakhstan. Descriptive models were used to assess the economic and technological state of enterprises and to analyse the effectiveness of capital investments for the implementation of green technology projects and social environmental investments. In the course of research of the population’s requests to manufacturers of industrial products, it was found out that the requirements to the environmental characteristics of finished products have increased, and the price of ecological products is of concern. Producers and end consumers can be brought closer together through eco-branding, creation of special platforms for green integration participants. To unlock the reserves of economic growth, it is proposed that green investment flows with the participation of industrial capital should be intensified in order to increase investments in the eco-cultural transformation of eco-consumers of the new generation.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2024-12-25
DOI
https://doi.org/10.3390/su17010036
Citations
2
Primary Topic
Environmental Sustainability in Business
Type
article
Field-Weighted Citation Impact
0.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Economic Aspects of Sustainable Development: Eco-Branding in Manufacturing Enterprises from Kazakhstan

Л. М. Давиденко, А. А. Титков, Ansagan Beisembina, Nurzhanat Sherimova
2 citations
Sustainability
Environmental Sustainability in Business
0.88
article

Economic Aspects of Sustainable Development: Eco-Branding in Manufacturing Enterprises from Kazakhstan

Л. М. Давиденко, А. А. Титков, Ansagan Beisembina, Nurzhanat Sherimova
article en
2 citations

Abstract

Economic science provides a rich methodological toolkit for sustainable development combined with the principles of the circular economy and green marketing. The practical adaptation of a set of assessment tools helped the realisation of the goal of this study in the form of the systematisation of interaction factors between economic growth and environmental branding of industrial companies in the Republic of Kazakhstan. Descriptive models were used to assess the economic and technological state of enterprises and to analyse the effectiveness of capital investments for the implementation of green technology projects and social environmental investments. In the course of research of the population’s requests to manufacturers of industrial products, it was found out that the requirements to the environmental characteristics of finished products have increased, and the price of ecological products is of concern. Producers and end consumers can be brought closer together through eco-branding, creation of special platforms for green integration participants. To unlock the reserves of economic growth, it is proposed that green investment flows with the participation of industrial capital should be intensified in order to increase investments in the eco-cultural transformation of eco-consumers of the new generation.

SustainabilityVol. 17(1)
Toraighyrov University (KZ)
Openalex Percentile: Top 18%
Environmental Sustainability in Business
0.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.