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Enregistrement W3000514675 · doi:10.31651/2076-5843-2019-4-57-65

CURRENT STATUS OF REGULATORY PROVISION OF RESOURCE MANAGEMENT IN UKRAINE AND THE WORLD

2019· article· en· W3000514675 sur OpenAlex

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Notice bibliographique

RevueCHERKASY UNIVERSITY BULLETIN ECONOMICS SCIENCES · 2019
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueEconomic and Business Development Strategies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBusinessResource (disambiguation)Consumption (sociology)Natural resource economicsEconomics

Résumé

récupéré en direct d'OpenAlex

Introduction. The experience of state regulation in resource management issues proves that the executive authorities do not provide a sufficient level of influence on the efficiency of use of resources by economic entities. The main objectives of these bodies are to implement public policies to ensure economic growth in the sector or region concerned. However, the issue of resource management by these bodies is not sufficiently addressed. That is why the issue of researching the regulatory framework in the field of resource management is quite relevant today. Purpose. The purpose of the article is to identify and analyze the main indicators of resource efficiency of Ukraine, to compare these data with indicators of other countries of the world, to systematize the legal framework governing the issue of resource management at the micro and macro levels both in Ukraine and in the leading countries of the world. Results. The analysis of energy intensity indicators of GDP of Ukraine and other countries of the world, which have minimum and maximum values of this indicator, calculated the growth rate in recent years, graphically shows the dynamics of this indicator relative to the global average. In addition, the dynamics of energy production and consumption indicators in Ukraine for the years 2010-2018 was determined. As a result of this study, Ukraine was found to be ranked 1st in the world in terms of GDP energy intensity. The leaders in GDP energy intensity are also Russia, Kazakhstan, Canada, etc. The lowest rate is observed in EU countries as well as Turkey and Japan. One of the important means of reducing the state’s resource dependency and improving the efficiency of resource use is state regulation. In today’s economic context, the need to improve the current regulatory framework becomes even more important. That is why the article focuses on the study of the regulatory framework in the field of regulation of resource conservation management in Ukraine and EU countries, as these countries have the best indicators of GDP energy intensity. Originality. The influence of regulatory support of issues of resource saving management on the state resource efficiency indicators has been determined. The legal and regulatory framework of Ukraine and other countries of the world was generalized and compared. Deficiencies in the legal support that exist in Ukraine have been identified. Conclusion. Ukraine is the leader in terms of GDP energy intensity. In addition, there is a significant shortage of energy resources, which weakens the country’s energy security. Ukraine does not provide a systematic approach to addressing resource management issues. The problems of resource efficiency, which are key in the implementation of the policies of many developed countries of the world, have not been the subject of constant attention at the state level in our country. The EU, Japan, and the US, with impressive energy-saving success, have focused on more complex tasks - implementing resource efficiency programs that have led to a gradual decline in resource consumption and GDP. In addition to government regulation, the overall state of resource conservation and resource efficiency is also significantly influenced by corporate policy in this area of individual entities. For all enterprises trying to implement an effective resource management and resource-saving development policy, it is important to create an organizational and economic mechanism for managing the resource-saving development of the enterprise, which includes the regulatory framework governing these issues. Therefore, prospects for further scientific research are to create an effective organizational and economic management mechanism in the direction of resource saving and resource-saving development of the enterprise.

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Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,840
Score d'incertitude au seuil0,380

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,186
Écart entre enseignants0,168 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle