SYSTEM OF REGIONAL FACTORS IN THE PROCEDURE OF SEARCHING THE OPTIMAL PLACE FOR INVESTMENT-SPATIAL ORIENTATION OF BUSINESS THROUGH PRISMON PRISM
Abstract
It has been proven that the solution to the problem of investment-spatial orientation of business comes down to finding the optimal place for business location. The key point is to reduce the number of possible places to place the business in the optimal search algorithm. Many aggregate approaches are used to address this issue, one of which is the formation of factors of spatial orientation of the business. Existing approaches to solving the problem of spatial orientation of business are critically analyzed. The expediency of supplementing the known factors of spatial orientation of business with factors of regional significance, ie factors that are specific to each studied region to one degree or another, is proved. Among them: the regional factor of uneven consumption of similar products and services; local legislation (restrictions, taxes, support of authorities, etc.); infrastructural development of the region and the climate of the region. It is determined that the emergence of new or relocation of existing enterprises or their branches contributes to the development of specific advantages of the new location or eliminates the disadvantages of the former location for certain consumer functions, such as proximity of new production branches to customers, relocation of labor-intensive shops to lower wages. or the use of government subsidies in special areas and areas of the country. It is substantiated that researching a certain geographical and economic region in the direction of finding the optimal place of spatial orientation of business using the proposed regional factors will significantly increase the probability of taking into account all possible places in the system of finding the optimal place of spatial orientation of business. The regional environment of the enterprise is researched and analyzed, namely: consumers (existing, potential); state control bodies (inspections, commissions, etc.); financial and credit institutions (banks, insurance, etc.); communities (public organizations, trade unions, etc.); regional legislation; individuals and legal entities that show a certain interest in the enterprise (families of employees, shareholders, parent companies; competitors (bona fide, aggressive, etc.).
References
Єрьомін С. Розміщення продуктивних сил. Київ : Знання, 2003. 350 с.
Розміщення продуктивних сил України : Навч.-метод. посібник для самост. вивч. дисц. / [С.І. Дорогунцов, Ю.І. Пітюренко, Я.Б. Олійник та ін.]. Київ : КНЕУ, 2000. 364 с.
Катренко А.В., Антоняк В.І. Розв’язання задач оптимального розміщення об’єктів методом імітаційного моделювання. Вісник НУ «ЛП». Серія: Інформаційні системи та мережі: зб. наук. пр. 2011. № 715. С. 150–162.
Харари Ф. Теория графов. Москва : Мир. 1973. 301 с.
Кристофидес Н. Теория графов. Алгоритмический поход. Москва : Мир, 1978. 432 c.
Забудский Г.Г. Алгоритм решения минимаксной задачи размещения объекта на плоскости с запрещенными зонами. Автоматика и телемеханика. 2004. № 2. С. 93–100.
Станіна О.Д. Перспективи використання синтезу генетичного алгоритму та методу оптимального розбиття множин в задачах розміщення-розподілу. «Системные технологии». Региональный межвузовский сборник научных трудов. 2016. № 2. С. 116–122.
Giampietro M. On the circular bioeconomy and decoupling: implications for sustainable growth Ecol. Econ., 162 (2019), pp. 143–156.
Wohlgemuth A.R., Twardowski T. Preface to the special issue bioeconomy N. Biotech., 40 (2018), pp. 1–4.
Brunori G. Biomass, biovalue and sustainability: some thoughts on the definition of the bioeconomy EuroChoices, 12 (1) (2013), pp. 48–52.
Yerʹomin S. (2003) Rozmishchennya produktyvnykh syl. [Placement of productive forces]. Kyiv: Znannya, 350 s. (in Ukrainian)
Rozmishchennya produktyvnykh syl Ukrayiny: Navch.-metod. posibnyk dlya samost. vyvch. dysts. [Location of productive forces of Ukraine: Teaching method. manual for self. studied dist.] / [S.I. Dorohuntsov, YU.I. Pityurenko, YA.B. Oliynyk ta in.]. Kyiv: KNEU, 2000. 364 s. (in Ukrainian)
Katrenko A.V. (2011) Rozvyazannya zadach optymalnoho rozmishchennya obyektiv metodom imitatsiynoho modelyuvannya [Solving problems of optimal placement of objects by the method of simulation modeling]. Visnyk NU “LP”. Seriya: Informatsiyni systemy ta merezhi: zb. nauk. pr. № 715. S. 150–162. (in Ukrainian)
Kharary F. (1973) Teoryya hrafov [Theory of graphs]. Moskva: Myr. 301 s. (in Ukrainian)
Krystofydes N. (1978) Teoryya hrafov. Alhorytmycheskyy pokhod [Graph theory. Algorithmic campaign]. Moskva: Myr. 432 s. (in Ukrainian)
Zabudskyy H.H. (2004) Alhorytm reshenyya mynymaksnoy zadachy razmeshchenyya obekta na ploskosty s zapreshchennymy zonamy [Algorithm for solving the minimax problem of object placement on a plane with forbidden zones]. Avtomatyka y telemekhanyka. № 2. S. 93–100. (in Ukrainian)
Stanina O.D. (2016) Perspektyvy vykorystannya syntezu henetychnoho alhorytmu ta metodu optymalnoho rozbyttya mnozhyn v zadachakh rozmishchennya-rozpodilu [Prospects for the use of the synthesis of a genetic algorithm and the method of optimal partitioning of sets in placement-distribution problems]. «Systemnye tekhnolohyy». Rehyonalʹnyy mezhvuzovskyy sbornyk nauchnykh trudov. № 2. S. 116–122. (in Ukrainian)
Giampietro M. (2019) On the circular bioeconomy and decoupling: implications for sustainable growth Ecol. Econ., 162, pp. 143–156.
Wohlgemuth A.R., Twardowski T. (2018) Preface to the special issue bioeconomy N. Biotech., 40, pp. 1–4.
Brunori G. (2013) Biomass, biovalue and sustainability: some thoughts on the definition of the bioeconomy EuroChoices, 12 (1), pp. 48–52.
