The aim of the article is to identify and assess the relationship between the investment attractiveness of regions for agricultural enterprises and the energy factor. Classical theories of the location of agriculture emphasise the importance of the market factor. The energy factor has so far been ignored, despite the global trend related to the increasing importance of production scales and rising energy consumption in agriculture. There are also no methodological proposals that allow a comprehensive assessment of the investment attractiveness of regions for agricultural enterprises, taking into account the leading location factors. The article presents the author’s methodological model based on the weight-correlation method of valorisation of investment attractiveness of regions for economic entities that invest in agricultural production. It contains a sub-aggregate describing the energy factor. This proposal is a contribution to the theory of the location of agriculture in the field of location factor analysis. The developed methodological model is used to explain location decisions of agricultural enterprises at the regional level. Access to energy as well as energy management increase locational advantages and reduce the economic risk of carrying out agricultural activities in economic units, which contributes to an increase in the sustainability of agricultural production. This is especially true in areas dominated in the past by state-owned and cooperative enterprises, which are the dominant group of enterprises in this area after privatization. The proposed methodology was positively verified on the example of Polish regions, as a significant influence of the energy factor on investment attractiveness at the local level was demonstrated.
An increase in complication of decision making process regarding the enterprises localization implies the necessity to search for new tools facilitating monitoring of changes in an enterprise environment and a reduction of potential location pool. This especially concerns large-scale enterprises with diversified spatial structure. Currently, an enterprise localization analysis constitutes not only an element of strategic management of enterprises, but it should also be a subject of activity of regions willing to look for investors in an active manner. On the one side, business entities search for locations that meet their needs. On the other side, regions offer investment areas to accelerate regional development. Local authorities do not decide on an enterprise localizations, but they can create operating conditions to a certain extent (e.g. equipment with technical infrastructure or labor force for entrepreneur and investor's needs). Therefore, there is a need for application of new solutions or at least modification of localization management methods. Here, we present the study on an application of modified McKinsey matrix for spatial analysis using an original concept of regional strategic groups. The regional strategic groups constitute the cluster of regions with similar sector attractiveness, as well as competitive position or potential. The objective of the study was to create a new methodological model in an enterprise localization analysis, based on regional strategic groups. Also, we demonstrated application options of the proposed tool in management of enterprise strategic options for automotive sector in NUTS 2 level regions in the EU.
Purpose: The theoretical purpose of this paper is determining the essence of an intelligent organization (IO) in a local administrative unit (LAU) including identification of benefits and risks for local development connected with the development of IO in LAU. The practical purpose is presenting a concept of methods to identify the development level of IO in LAU. Design/Methodology/Approach: The work method is literature studies. In addition, two methods of evaluating the level of development of IO in LAU are proposed. The article makes use of statistical methods based on the vector of standardized sums. Findings: It is found that literature lacks a generally accepted definition of IO in LAU and many features characteristic of the development of IO in LAU are identified. The development of IO in LAU is a source of many benefits to local development, but it is also connected with the occurrence of some risks. The study proposes a set of features describing IO including their scoring. The paper also propose an indicator of the level of development of IO in LAU2 in Poland (municipality) in 2018 based on a set of variables (IO LAU2). Research has shown a positive correlation between the level of development of IO in LAU and the level of urbanization, investment attractiveness and economic growth. Practical Implications: The results of studies can be used by LAU for designing the strategy of developing an intelligent organization. They can provide valuable practical guidance about the type of activities to be implemented to ensure that LAU can evolve into IO. Originality/Value: The work proposes a definition of IO in LAU. Two methods of evaluating the level of development of IO in LAU are put forward. The first method allows pre-selection of LAU in terms the level of development of IO based on data available in public statistics. The next stage of the study can use the criteria of summary evaluation of the level of development of IO in the LAU, proposed in this work, according to a percentage scale. The presented methodological concept is universalit can be used to evaluate the level of development of IO in taxonomic units at different levels and in different countries.
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