This article summarizes the arguments and counter-arguments in the scientific discussion on identifying the essential characteristics of human capital and key quantitative indicators of its evaluation. The article determined the evolutionary patterns of changing approaches to interpreting the essence of human capital. The study's main purpose is to form an integrated indicator of human capital assessment and identify the most relevant innovative drivers and inhibitors of its development. Systematization of literature sources and approaches to solving the human capital evaluation problem has shown a significant variation in both national approaches to solving the problem and their supranational counterparts. Given the lack of a unified approach to evaluating human capital, the article proposes an author's approach to solving the problem using the Fishburne formula and additive convolution. The relevance of the selection of normalized partial indicators to the integrated indicator is confirmed based on the Cronbach's alpha test. The composite human capital evaluation indicator includes several social, economic, and institutional indicators. Given the transformation of all components of the business environment and the national economy due to the formation of Industry 4.0, it is necessary to determine the most relevant innovative factors of human capital development. A sample of potential drivers and inhibitors of impact on the composite indicator of human capital evaluation, which have an innovative nature, is formed to achieve this goal. The panel data regression model was built. All calculations were performed using Stata 12/SE software product. Modeling results showed that most determinants of innovation development do not have a statistically significant impact on Human Capital Index and vice versa. Human Capital Index is positively influenced by information and communication technology exports but negatively influenced by the imports of computers, communications and services, and high-tech exports. At the same time, the growth of the Human Capital Index has a negative impact on the growth of the share of exports of computers, communications, and services in the structure of commercial imports and high-tech exports. The study results could be useful to scientists, public authorities, local governments, businesses, and entrepreneurs.
Improving the use of basic funds and production capacity in oil and gas recovery is not only the introduction of new techniques and technology, but also the improvement of labor, management and organization of work. The process of renewal of the fixed capital and production forces is considered intensive at the time when the vast majority of the newly incorporated basic funds and forces are aimed at replacement of morally obsolete and physically worn out parts. This time, their compliance with the economically justified life expectancy is of interest. All these are elements of recycling. Oil and gas wells are important elements of the active part of the main production funds and they determine the future development of oil and gas recovery. Productive use of production wells for oil and gas recovery is considered as a source of improvement of production efficiency in terms of production-resource potential (PRP). In order to increase the efficient use of oil and gas wells as an active element of the main production funds, special attention is paid to both extensive and intensive factors at oil and gas production enterprises.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.