ENSURING THE INVESTMENT ATTRACTIVENESS OF REGIONAL LANDS
DOI:
https://doi.org/10.33042/2522-1809-2024-4-185-103-107Keywords:
land use, investment attractiveness of land, regions, integral assessment method, mathematical modellingAbstract
The article proves the relevance of the research on ensuring the investment attractiveness of the lands of the regions. It determines the directions and features of providing the investment attractiveness of the regional lands. For this, the study solves the following tasks: determining the investment attractiveness of the lands of the regions; characterising the toolset to ensure the investment attractiveness of the regional lands; identifying the factors affecting the investment attractiveness of the regional lands and developing a multi-level system of indicators; substantiating directions for the development of the method of integral assessment of the level of investment attractiveness of the lands of the regions.
The categorical apparatus for determining the investment attractiveness of the lands of the regions, based on a set of interconnected spatial, economic, urban planning, ecological, innovative, safety, regulatory, and legal factors and the modern toolkit of geographical information systems, methods, and models, has been improved, which made it possible to build a quantitative basis for the development of scientifically grounded decisions regarding the attraction of investments in the field of land relations at the regional level.
The article improves the typological structure of investment attractiveness, which allows for singling out factors for building a multifactor system of evaluation indicators.
The author proposes a multi-level system of indicators for assessing the investment attractiveness of regional lands based on local, systemic factors for determining an integral indicator and developing a method of integral assessment. He develops a method of integral evaluation of the level of investment attractiveness of the lands of the regions based on a set of indicators, methods, and models, making it possible to form a quantitative basis for mathematical modelling and forecasting of factors.
Processes of mathematical modelling of factors of investment attractiveness of regional lands, based on applying correlation-regression analysis and model adequacy criteria to establish cause-and-effect relationships between indicators of investment attractiveness, gain further development.
The study develops mathematical models of the dependence between the integral factor of the investment attractiveness of the regional lands and the index of changes in the gross regional product per person to determine forecast trends.
The article forecasts the integral indicator of the investment attractiveness of the regional lands based on the results of mathematical modelling, which made it possible to form a quantitative basis for ensuring investment attractiveness.
Scientifically based recommendations for ensuring the investment attractiveness of the lands of the regions have been developed based on the assessment results, mathematical modelling, and forecasting to ensure investment attractiveness, taking into account the scenarios and measures of its growth and the possibility of using geoinformation monitoring maps.
References
Bezpalko, R. I. (2013). Investment attractiveness of agricultural lands in Ukraine. Collection of scientific and technical works. Scientific bulletin of NLTU of Ukraine. 23.16, 309–313.
Ryter, N. I. The main indicators of investment attractiveness of agricultural enterprises. Electronic scientific specialist edition «Effective-on economy». http://www.economy.nayka.com.ua/pdf/7_2018/33.pdf [in Ukrainian]
Martynyuk, M. P. (2016). Theoretical principles of land relations regulation in Ukraine. Economics of agriculture. 7, 10–15.
Klyoba, L. G. (2016). Essence, structure and elements of the investment market of Ukraine. Agrosvit. 12, 12–17.
Havlovska, N. I., Rudnichenko, E. M., & Havlovska, V. I. (2018). Methodical approaches to assessing the investment attractiveness of the national economy: advantages and disadvantages. Economic sciences. Bulletin of the Khmelnytskyi National University. 1, 197–202. http://surl.li/cfgde [in Ukrainian]
Komlichenko, O. O. Investment attractiveness of the branches of economic activity of the region. http://surl.li/cezoe [in Ukrainian]
Ripa, T. V. (2021). Directions of increasing the investment attractiveness of Ukraine on the world stage. Black Sea Economic Studies. Economics and business management. 6, 63–68. http://surl.li/cfgfd [in Ukrainian]
Radzinska, Yu. B. (2018). Development of methods and models to assess the influence of factors on the formation of investment attractiveness of urban lands. Scientific Bulletin of Construction: Collection of Scientific Papers. 1(91), 304–309.
Kholod, S. B. (2016). Comparative analysis of investment attractiveness in the period of transformation of the economic system. Academic review. 2, 95–100. https://acadrev.duan.edu.ua/images/PDF/2016/2/13.pdf [in Ukrainian]
Andriychuk, I. V., & Konkolniak, M. A. (2021). Assessment of investment attractiveness of united territorial commu-nities in mountain regions based on state regulation. Economy and society. 27. https://www.google.com.ua/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad [in Ukrainian]
Kisil, M. I. (2018). Investment support for the development of the agricultural economy of Ukraine in a strategic perspective. Herald of Agrarian Science. 1, 78–82.
Ulanchuk, V., Zharun, O., Sokolyuk, S., & Tkachuk, S. (2017). Investment needs assessment of Ukrainian agricultural enterprises. Investment Management and Financial Innovations. 14(1), 181–190. http://dx.doi.org/10.21511/imfi.14(1-1).2017.04
Saaty, T. L. (2008). Relative Measurement and its Generalization in Decision Making: Why Pairwise Comparisons are Central in Mathematics for the Measurement of Intangible Factors–AHP. Review of the Royal Academy of Exact, Physical and Natural Sciences: Mathematics (RACSAM), 102, 251–318.
Saaty, Thomas L. (1999). Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World. Pittsburgh, Pennsylvania: RWS Publications.
Drake, P.R. (1998). Using the Analytic Hierarchy Process in Engineering Education. International Journal of Engineering Education. 14(3), 191–196.
Dyer, J. S. (1990). Remarks on the Analytic Hierarchy Process. In: Management Science, 36 (3), 249–258.
Patrick, T. Harker, Luis G. Vargas (1990). Reply to Re-marks on the Analytic Hierarchy Process’ by J. S. Dyer. Management Science, 36(3), 269–273.
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