Development of the Financial Flow Model for the Sustainable Development of an Industrial Enterprise
Abstract
:1. Introduction
- At the level of macroeconomic systems the category of «economic complexity» is highlighted and evaluated in relation to the environmental impact (Tauseef Hassan et al. 2023); proposed «integrated resource efficiency index», IRE-index, the multiple regression method was used (Koh et al. 2016); the Advanced Human Development Index, determined by the geometric mean method of the four feathers—«Life», «Education», «Income» and «Environment» (Karnitis et al. 2021); the regional sustainable development index (RSDI), calculated also by the geometric mean formula and including 6 indicators—economic growth rates, open unemployment, poverty rate, human development index, Gini index and environmental quality index (Rahma et al. 2019); systematized a wide range of sustainable development assessment techniques, including WDI (world development indicators), Eurostat sustainable development indicators, HDI (human development index), EF (ecological footprint), EPI (environmental performance index), SSI (sustainable society index), EISD (energy indicators for sustainable development), which is reflected in the study (Andriuškevičius et al. 2022); proposed weighting method for energy sustainability analysis of renewable energy production (Tsai 2010).
- At the level of municipalities, 13 private indicators of sustainable development (poverty ratio, physician density, mortality rate, under −5, +15 literacy rate, % total enrolment rate in basic education and others) have been assessed (Salem et al. 2020); other scientists applied the grey entropy method and formed the sustainable urban development system, which covers not 3 classic elements (economic, social and environmental), but 5 (society, the economy, the environment, resources, and technology) (Gong et al. 2019); systematized indicators of sustainable urban development by blocks: environment, transport, economic development, land use, demography, construction, health care, civic engagement (Hassan and Kotval-K 2019). (Awan et al. 2022; Liu et al. 2022b) revealed a U-shaped (nonlinear) relationship between urbanization and the environment (i.e., CO2 emissions).
- At the mesolevel (industry level) an indicator of production reliability at the level of industries was developed, based on the weighting of normalized indicators of economic, social and environmental reliability (Lubnina et al. 2016); an extensive set of key performance indicators (48 social indicators, 30 environmental indicators, and 39 economic indicators) presented in the context of three factors of sustainable industrial development (Contini and Peruzzini 2022); an aggregate indicator of sustainable industrial development based on discriminant analysis and principal component method (Shinkevich et al. 2022) was proposed, etc. Among our own research, we noted the methodology to assess the sustainable development of innovative mesosystems based on a composite indicator ISDI: calculated as a geometric mean of three factors (environmental, economic and social), includes indicators of environmental innovation, the share of enterprises with high pollution levels, the quality index of patent applications, return on assets, the number of researchers in the industry, the index of recycled and subsequently used water in the mesosystem, the share of catchment (Shinkevich et al. 2021b).
- At the microeconomic level, the issue under study through the SAM4SIP method (Self-Assessment Method of capabilities for Sustainability Implementation in the Product innovation process) of assessing an organization’s capacity to implement sustainability (Schulte and Hallstedt 2018) is revealed, the author’s solution is based on empirical research; the formation of Sustainable Development Map of the enterprise (Patalas-Maliszewska and Łosyk 2020); the development of an indicator the maturity of organization in the sustainable development management Leading Sustainability (LeadSUS), which is calculated as the average of six Relevant Domains—General Requirements/Aspects, Resource Management, Sustainable Products and Services, Social Responsibility, Implementation and Operation, Management/Leadership and Strategy (Negulescu et al. 2022), etc.
2. Materials and Methods
- significant strategic role in the development of Russian industry;
- high level of environmental pollution due to the scale and specifics of production;
- a key place in our scientific research (Shinkevich et al. 2021a);
- research on the regularity of the sustainable development the industrial system of PJSC «Nizhnekamskneftekhim»;
- identifying the relationship between financial investments in the industrial system modernization and the level of its sustainable development;
- modeling and optimization of financial flows to ensure the sustainable development of an industrial enterprise.
- In this regard, the study covers several phases.
- Development of a universal methodological approach to assessing the sustainable development of an industrial enterprise. At this stage, we have formulated a system of three-way diagnostics of sustainable development. The calculation foundation develops the mesolevel approach for the assessment of the sustainable development of innovative mesosystems based on a comprehensive indicator ISDI (Shinkevich et al. 2021b) proposed earlier. However, in this case we focus on the microeconomic system and propose to expand the list of indicators accounted for the economic, environmental and social aspects. For this we propose to use the geometric average formula to estimate the economic factor of the sustainable development of an industrial enterprise (Iecon), the social factor (Isoc) and the environmental factor (Iecol):
- 2.
- Verification of the proposed methodological approaches by assessing the closeness of the relationship between the calculated values of SDIE (according to the three methods) and the volume of reduction of pollutant emissions VREP and wastewater discharges VRWD. Based on the evaluation results of the pair correlation coefficients, the choice in favor of the best the three methods made. The emphasis on environmental indicators is due to the positive dynamics of the development the indicators, in this regard, this factor chosen as the basis for the verification the methodology.
- 3.
- The construction of an economic-mathematical model of the sustainable development dependence indicator from the industrial enterprise on financial flows:
- acquisition of fixed assets, million rubles (investment activities) (VIA);
- attraction of long-term credits and loans, million rubles (VLTF);
- attraction of short-term credits and loans, million rubles (VSTF).
- 4.
- The emphasis on investments is due to the following: they are aimed at modernization of fixed assets (modern development programs of industries and industrial enterprises), corporate information systems, which contributes to increasing industrial safety, improving working conditions (lean production, 5S), improving the quality of products, saving resources. All of this is a sign of sustainable development.
- 5.
- Determination the optimal values of financial flows that determine, among other things, the sustainable development of the microeconomic system.
3. Results
3.1. Stage 1: Analysis of Individual Aspects of Sustainable Development of an Industrial Enterprise
3.1.1. Diagnostics of the Main Indicators of Economic, Ecological and Social Development of PJSC «Nizhnekamskneftekhim»
3.1.2. Assessment of Sustainable Development Factors of PJSC «Niznekaskneftekhim»
3.2. Stage 2: Three-Way Diagnostics of Sustainable Development of an Industrial Enterprise
3.3. Stage 3: Verification the Proposed Methods for Assessing the Sustainable Development of the Enterprise
3.4. Stage 4: Development of an Economic-Mathematical Model of Financial Flows for Sustainable Development of an Industrial Enterprise
- the coefficient of determination R2 was 0.994 (or 99.4%);
- Fisher’s F-criterion is fulfilled, the hypothesis that the differences between the indicators are non-random and the regression equation is adequate is accepted, because:
- t-Student’s criterion is fulfilled, the significance of the obtained regression coefficients is confirmed, because:
|tcalc| > ttabl. (|−14.79| > 4.3);
|tcalc| > ttabl. (|−10.09| > 4.3).
3.5. Stage 5: Optimization the Financial Flows for Sustainable Development of an Industrial Enterprise
VSTF = 0.257 billion rubles.
4. Discussion
- First, the patterns of enterprise development in the context of individual indicator identified: unbalanced development of economic, environmental and social components; the presence of unrealized potential for sustainable development of the enterprise, despite the high investment activity.
- Secondly, a methodology for assessing the sustainable development of an industrial enterprise based on the calculation the integral index as an aggregator of the three known factors of sustainable development, taking into account key aspects of the enterprise (energy consumption, material consumption, return on sales, per capita social policy costs, staff turnover, reduction of pollutant emissions and wastewater discharges), covering three methods of measurement was developed. The uniqueness of the author’s approach lies in the comparison of the results of the three methods of calculating the integral indicator and the possibility of choosing the most acceptable calculation option.
- Thirdly, the economic-mathematical model of sustainable development management of industrial enterprise developed, which allows identifying the best proportions of attracting credit resources, contributing to the increase in the integral indicator of sustainable development the industrial enterprise. The peculiarity of the approach lies in the flexibility of modeling provided by the choice of the method for calculating the aggregate indicator of sustainable development.
5. Conclusions
- the coronavirus pandemic of 2020 had an impact on the company’s activities (both economic and social indicators);
- the sustainable development of the enterprise is characterized by an imbalance, as evidenced by the multidirectional trends of changes in the factors Iecon, Isoc, Iecol;
- the investment flow management system of the enterprise requires optimization, restructuring of financing sources, which will help to ensure sustainable development and improve the overall picture of the enterprise development.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Conditional Designation | Content |
SDIE | integral indicator of sustainable development of the enterprise, coefficient |
Iecon | the economic factor of sustainable development of the enterprise, coefficient |
Isoc | social factor of sustainable development of the enterprise, coefficient |
Iecol | environmental factor of sustainable development of the enterprise, coefficient |
VRoE | returns on energy, rubles per rubles |
VMP | material productivity, rubles per rubles |
VRoS | return on sales, coefficient |
VSP | social policy and charity expenses per 1 employee, million rubles per person |
VRGW | rate of growth of tariff rates/wages, % |
VSTR | average staff turnover rate, % |
VREP | the volume of reduction of emissions of pollutants into the atmospheric air, thousand tons |
VRWD | the volume of reduction of wastewater discharges in volume, million cubic meters |
VIA | acquisition of fixed assets, million rubles |
VLTF | attraction of long-term loans and borrowings, million rubles |
VSTF | attraction of short-term loans and borrowings, million rubles |
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Method | 2016 | 2017 | 2018 | 2019 | 2020 | Growth Rate |
---|---|---|---|---|---|---|
Method 1 | 1.301 | 1.465 | 1.125 | 1.090 | 1.208 | −7.17% |
Method 2 | 1.709 | 1.922 | 2.067 | 1.982 | 1.713 | 0.24% |
Method 3 | 1.861 | 1.877 | 1.792 | 1.814 | 1.857 | −0.25% |
Meтoд | The Volume of Reduction of Emissions of Pollutants into the Atmospheric Air, Thousand Tons | The Volume of Reduction of Wastewater Discharges in Volume, Million Cubic Meters |
---|---|---|
SDIE (1) | 0.174 | 0.737 |
SDIE (2) | −0.781 | 0.082 |
SDIE (3) | 0.54 | 0.608 |
SDIE (1) | VIA | VLTF | VSTF | |
---|---|---|---|---|
SDIE (1) | 1 | |||
VIA | −0.701 | 1 | ||
VLTF | −0.825 | 0.845 | 1 | |
VSTF | −0.566 | −0.053 | 0.007 | 1 |
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Galimulina, F.F.; Shinkevich, M.V.; Barsegyan, N.V. Development of the Financial Flow Model for the Sustainable Development of an Industrial Enterprise. J. Risk Financial Manag. 2023, 16, 128. https://doi.org/10.3390/jrfm16020128
Galimulina FF, Shinkevich MV, Barsegyan NV. Development of the Financial Flow Model for the Sustainable Development of an Industrial Enterprise. Journal of Risk and Financial Management. 2023; 16(2):128. https://doi.org/10.3390/jrfm16020128
Chicago/Turabian StyleGalimulina, Farida F., Marina V. Shinkevich, and Naira V. Barsegyan. 2023. "Development of the Financial Flow Model for the Sustainable Development of an Industrial Enterprise" Journal of Risk and Financial Management 16, no. 2: 128. https://doi.org/10.3390/jrfm16020128
APA StyleGalimulina, F. F., Shinkevich, M. V., & Barsegyan, N. V. (2023). Development of the Financial Flow Model for the Sustainable Development of an Industrial Enterprise. Journal of Risk and Financial Management, 16(2), 128. https://doi.org/10.3390/jrfm16020128