The work states that the strategic guideline for building an effective competitive national transport system and prosperous using Ukrainian multimodal potential is the formation of a regulatory environment for scaling ESG-investment in the context of transformation to a “climate-neutral” economy. The absence of a unified methodology for (assessment) scoring ESG-direction of business as the basis for decision-making on ESG-investment is established in the world and national practice. For the first time, the author’s model of scoring trends and regularities of business development is proposed in accordance with ESG-principles, in contrast to traditional trend dynamic models, which identifies and iteratively conceptualizes processes by the set of ESG-indicator components determined using the cocoupling-analysis toolkit (tools for assessing the cocoupling-effect). A classification of the cocoupling-effect has been developed and each of its types has been characterized. Possible options for ESG-effectiveness of business are identified, which conditionally correspond to the four zones of the ESG-investment decision-making matrix. A research on the expected cocoupling-effect of ESG-investment in the multimodal transportation development is carried out to validate the feasibility of implementation the author’s scoring model for the ESG-direction of business and obtaining realistic results according to the data of the International Energy Agency and the State Statistics Service of Ukraine. An effective measures arsenal of creating the regulatory framework for ESG-investment in the multimodal transportation development is identified and a Roadmap is proposed for their high-quality implementation, which would ensure positive changes in Ukraine’s position in the world ranking of countries by multimodal potential usage efficiency.

Production economics forms a very important part of an enormous range of economic theory. Agricultural production is no exception. When evaluating the competitiveness of the multifunctional agriculture, it is necessary to use the measure of efficiency instead of productivity. The conception of the efficiency is explained and the methods for measurement are provided. The authors discuss the methods of Stochastic Frontier Approach (SFA), Free Disposal Hull (FDH) and Data Envelopment Analysis (DEA) that are particularly useful for multi-criterial evaluation of multifunctional processes. Those methods assign an efficiency score to each Decision Making Unit (DMU) based on how well it transforms a given set of inputs into outputs. Most studies have only focused on application of DEA method for assesment of the efficiency of agriculture farms. There is still a need on applications for sectors. This paper provides an examination of the applicability of DEA method to agriculture sectors efficiency measurement. By applying mathematical models, which are based on the DEA, the efficiency of agriculture in each EU country was evaluated.