Natural Management of a Modern Region: Assessment of Effectiveness and Perspectives of Improvement

Zinovyeva, Irina S.; Savin, Aleksei G.; Brizhak, Olga; Shchinova, Raisa A.

doi:10.1007/978-3-030-15160-7_72

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…A regression analysis method to estimate traditional (production waste and resource-intensiveness) and modern (eco-innovations) environmental management performance indicators impact on environmental conditions is suggested in [9]. The research results show that in the event of environmental crisis, economic growth should be considered not as a goal in itself, but as a means of ecological recovery and the environmental crisis management tool.…”

Section: Methodsmentioning

confidence: 99%

Digital Economy: New Opportunities to Implement Eco-Innovations at Production Enterprises

Alenkova¹,

Mityakova²,

Mityakov³

et al. 2020

Proceedings of the III International Scientific and Practical Conference "Digital Economy and Finances" (ISPC-DEF 2020)

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In present day conditions sustainable social development can be secured only by implementing ecoinnovations at production enterprises. Types of eco-innovations and research review of production enterprises environmental management are given in this article. One of the management tasks is finding a balance between the production enterprises economic efficiency aimed at making a profit and practicability of introducing new ecological standards. One of the lines of digital economy is implementing of energy saving technologies and "green" patents. Today digital and "green" innovations synergy represents the sustainable development demand. Key aspects of digitalization positive influence on production plants ecological stability are listed in the paper. A new algorithm of implementing eco-innovations at production enterprises has been suggested. Digital economy methods used in this algorithm provide new opportunities for the enterprises sustainable development.

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Section: Methodsmentioning

confidence: 99%