The Energy of Finance in Refining of Medical Surge Capacity

Melnychenko, Oleksandr

doi:10.3390/en14010210

Cited by 25 publications

(12 citation statements)

References 56 publications

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“…Therefore, based on the term "financial energy of the household," the author of this article understands the financial situation of the household and the ability to repay the debt, taking into account a wide range of financial, but also demographic and behavioral factors. Such a broad term of finance has already been applied in terms of refining the medical surge capacity [8] during the COVID-19 pandemic. The second example of interdisciplinary terms and research approaches in today's literature studies can be a theory of the "life cycle" that combines biological, economic, and engineering aspects into one compact study that analyzes the engineering and financial processes at different stages of enterprise development [9].…”

Section: Introductionmentioning

confidence: 99%

Examining Statistical Methods in Forecasting Financial Energy of Households in Poland and Taiwan

Korol

2021

Energies

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This paper examines the usefulness of statistical methods in forecasting the financial energy of households. The study’s objective is to create the innovative ratios that combine both financial and demographic information of households and implement them in the forecasting models. To conduct this objective, six forecasting models are developed using three different methods—discriminant analysis, logit analysis, and decision trees separately for households in Poland and Taiwan. Such a research approach will answer the question whether the implementation of constructed ratios can increase effectiveness of the forecasting model and its’ versatility between different economic regions. The research relies on four samples of households—two learning samples and two testing samples (one for each country) consisting of 2400 households from both countries. This study is one of the first attempts in the literature globally to develop forecasting models based on ratios constructed with a combination of two different types of variables—one financial with one demographic variable. Findings confirm the high usability of the proposed innovative approach for forecasting the financial energy of households by taking into account a wide spectrum of diagnostic variables representing the financial strength of consumers.

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Section: Introductionmentioning

confidence: 99%

Examining Statistical Methods in Forecasting Financial Energy of Households in Poland and Taiwan

Korol

2021

Energies

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“…The interdisciplinary approach to financial energy (cf. [1]) allows for associating it with the general financial condition of the entity [2], which is influenced, among others, by the use of equity and external capital and the treatment of money as a source of energy [3]. Based on Korol [2,4], the paper adopts the concept of "financial energy of a farm" understood as its general financial situation.…”

Section: Introductionmentioning

confidence: 99%

Debt as a Source of Financial Energy of the Farm—What Causes the Use of External Capital in Financing Agricultural Activity? A Model Approach

2021

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The aim of this study was to identify and assess the factors influencing the increase in the financial energy of a farm through the use of external capital, taking into account the farmer’s and farm characteristics. For its implementation, a logistic regression model and a classification-regression tree analysis (CRT) were used. The study was conducted on a group of farms in Central Pomerania (Poland) participating in the system of collecting and using data from farms (Farm Accountancy Data Network—FADN). Data on 348 farms were used for the analyses, obtained through a survey conducted in 2020 with the use of a questionnaire. Based on the analysis of the research results presented in the literature to date, it was established that the use of external capital in a farm as a factor increasing financial energy is determined, on the one hand, by the socio-demographic characteristics of the farmer and the characteristics of the farm, and on the other hand, by the availability of external financing sources. Factors relating to the first of these aspects were taken into account in the study. Using the logistic regression model, it was established that the propensity to indebtedness of farms is promoted by the following factors: gender of the head of the household (male, GEND), younger age of the head of the household (AGE), having a successor who will take over the farm in the future (SUC), higher value of generated production (PROD_VALUE), larger farm area (AREA) and multi-directional production of the farm (production diversification), as opposed to targeting plant or animal production only (farm specialization—SPEC). The results of the analysis carried out with the use of classification and regression trees (CRT) showed that the key factors influencing the use of outside capital as a source of financial energy in the agricultural production process are, first of all, features relating to an agricultural holding: the value of generated production (PROD_VALUE), agricultural area (AREA) and production direction (SPEC). The age of the farm manager (AGE) turned out to be of key importance among the farmer’s features favoring the tendency to take debt in order to finance agricultural activity.

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“…These changes cause structural and other swings in various fields of society, in particular, the financial sector, which is one of the first to respond to global challenges. Thus, recent events related to the spread of coronavirus disease (COVID- 19) have clearly demonstrated that all markets around the world have reacted with different in value, but clearly significant changes in financial figures [3][4][5][6][7][8][9][10][11][12]. An important part of the financial sector of the economy is the insurance sector, which is integral to financial stability as a whole [13].…”

Section: Introductionmentioning

confidence: 99%

The influence of climate change on the life insurance in the EU: A panel data approach

et al. 2021

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The financial sector, as one of the most sensitive economic sectors, is alert to all trends and changes in the environment. The aim of the article is to study the impact of climate change on the life insurance market using panel data from 28 countries of the European Union (EU) for the last 9 years. This study is based on a panel model, where the amount of premiums under life insurance contracts is defined as a function of the fundamental factor of climate change - greenhouse gas emissions. According to empirical findings, an increase in greenhouse gas emissions per thousand tons leads to an increase in the amount of life insurance premiums by 0.1786 million euros. It has also been found that an increase in greenhouse gas emissions per thousand tons leads to an increase in deaths in the European Union by 1.0442 people, and these consequences are statistically significant. In general, our results suggest that the life insurance market as well as the non-life insurance market is dependent on climate change. The empirical results of this study provide valuable insight into how greenhouse gas emissions affect mortality in the European Union.

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The Energy of Finance in Refining of Medical Surge Capacity

Cited by 25 publications

References 56 publications

Examining Statistical Methods in Forecasting Financial Energy of Households in Poland and Taiwan

Examining Statistical Methods in Forecasting Financial Energy of Households in Poland and Taiwan

Debt as a Source of Financial Energy of the Farm—What Causes the Use of External Capital in Financing Agricultural Activity? A Model Approach

The influence of climate change on the life insurance in the EU: A panel data approach

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