SYSTEM AND METHOD OF DIGITAL DESIGN OF INDUSTRIAL POLICY AND INSTITUTIONAL REFORMS

Abstract

The invention pertains to computer-implemented decision support systems in economic planning and industrial policy. The system for digitally designing industrial policy and institutional reforms of the national economy comprises a data integration module, a multi-level modeling module, an institutional environment module, a module for generating industrial policy scenarios, a modeling and evaluation module, and a visualization and decision support module. The data integration module is designed to receive, pre-process, and store heterogeneous economic, industry, regional, and institutional data. The multi-level modeling module includes a macro-level economic model, at least one meso-level industry or cluster model, and at least one micro-level enterprise model, all interconnected via a common data schema.The institutional environment module provides a machine-readable representation of institutional agreements and regulations. The industrial policy scenario module automatically generates industrial policy measures and institutional reform options based on specified targets, constraints, and information about the institutional environment. The modeling and assessment module performs calculations using a multi-level model for specified scenarios and calculates quantitative indicators of economic, social, and / or environmental effects. The visualization and decision support module displays scenarios and corresponding indicators and enables the user to select recommended industrial policy packages and associated institutional reforms.The technical result consists of reducing the time and labor costs for preparing and evaluating industrial policy scenarios, increasing the transparency and reproducibility of calculations, and integrating institutional environment analysis into a single digital platform.

Claims

1. A data processing system for generating digital scenarios of industrial policy and institutional reforms of the national economy, comprising a server computing node implemented on a server with access to the Internet, a data integration module, a multi-level modeling module, an institutional environment module, a scenario generation module, a modeling and evaluation module, and a visualization module, characterized by the fact that: the data integration module is designed with the ability to receive, pre-check, clean, convert heterogeneous data to a common data schema and store them in a data warehouse, the multi-level modeling module contains a macro-level model, at least one meso-level model and at least one micro-level model, interconnected by means of a common data schema, the institutional environment module is configured to represent institutional agreements and normative legal acts in the form of machine-readable structures that include entities and relationships between said entities, as well as to represent said machine-readable structures in the form of a directed graph, the vertices of which correspond to entities, and the edges reflect the relationships between said entities, wherein the module is configured to automatically detect the absence of a path between the vertices of the graph, the scenario generation module is designed with the ability to automatically generate a plurality of scenario options based on input target indicators and constraints and use a two-stage data processing algorithm, including a preliminary assessment of a plurality of options using approximating models and subsequent modeling of only the selected options using a full multi-level model, the modeling and evaluation module is configured to calculate quantitative indicators for the specified scenarios using a multi-level model, and to pre-build a sensitivity matrix linking changes in the model's output indicators with changes in industrial policy parameters, and to use the specified sensitivity matrix to approximate the modeling results without performing a complete recalculation of the multi-level model, The visualization module is designed to display generated scenarios together with calculated quantitative indicators.

2. A method for processing data for the formation of digital scenarios of industrial policy and institutional reforms of the national economy, implemented by means of a server computing node executed on a server with access to the Internet, using a data integration module, a multi-level modeling module, an institutional environment module, a scenario generation module, a modeling and evaluation module and a visualization module, characterized in that: accept heterogeneous economic, industry, regional and institutional data, carry out their preliminary verification, cleaning, conversion to a common data schema and storage in a data warehouse; form a multi-level digital model of the national economy, containing a macro-level model, at least one meso-level model and at least one micro-level model, interconnected through a common data scheme; represent institutional agreements and normative legal acts in the form of machine-readable structures that include entities and relationships between said entities, represent said machine-readable structures in the form of a directed graph, the vertices of which correspond to the entities, and the edges of which reflect the relationships between said entities, and automatically identify institutional gaps as the absence of a path between the vertices of the directed graph; automatically generate a set of scenario options based on input targets and constraints using a two-stage data processing algorithm that includes a preliminary assessment of a set of options using approximation models and subsequent modeling of only the selected options using a full multi-level model; calculate quantitative indicators for the generated scenarios using a multi-level model, pre-construct a sensitivity matrix linking changes in the model's output indicators with changes in industrial policy parameters, and use the specified sensitivity matrix to approximate the modeling results without performing a complete recalculation of the multi-level model; display the generated scenarios together with the calculated quantitative indicators.

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