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Study on the Interactive Relationship between Electric Power and Economy in Henan Province Based on Simultaneous Equation Model

Published: 27 January 2022 Publication History

Abstract

Power data is usually regarded as the "barometer" of macro-economy, which has a strong correlation with the operation of national basic industries and people's livelihood. Through the detailed analysis of the economic operation law and power consumption law of Henan Province, this paper establishes a simultaneous equation model containing power consumption data, Gross regional product(GDP), new medium - and long-term loans and fixed asset investment of Henan province from 2001 to 2020. The three-stage least square method was used for correlation analysis, and the weight of the test indexes was determined by comprehensive analysis. Finally, the interactive relationship between electricity data and GDP is determined, that is, new medium and long term loans and fixed asset investment in the first two years have a great impact on GDP in the current year, while GDP in the last two years will affect the electricity consumption level in the current year. And put forward corresponding measures to promote the economic green coordinated development of their own views.

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          BDSIC '21: Proceedings of the 2021 3rd International Conference on Big-data Service and Intelligent Computation
          November 2021
          111 pages
          ISBN:9781450390552
          DOI:10.1145/3502300
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Published: 27 January 2022

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          Author Tags

          1. Electricity consumption
          2. Simultaneous equation model
          3. Socioeconomic data

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