Abstract

In view of the problem that the traditional electric power prosperity index lacks the support of the mixed frequency and multi-dimension data, a new consistency measure method is constructed, which uses time difference correlation analysis and principal component and consider the linkage of electric power and economy at the same time. Take the Hunan province for example, we set the pool of kinds of sectional electricity power consumption and other relatives data, use the method of principal component analysis to capture main character of electricity’s change. The results show that the proposed consistency measurement model can describe the fluctuation characteristics of Hunan’s Power Prosperity Index well. The model can be used for monitor the changes in the power industry status and promoting the policy-making about the adjustment of the energy-saving and environment-friendly structure.

Highlights

  • IntroductionAs the "wind vane" of economic development, is closely related to economic development

  • Electric power, as the "wind vane" of economic development, is closely related to economic development

  • According to the index used to evaluate China's GDP growth launched by the famous British political and economic magazine The Economist in 2010, electric power consumption can more truly reflect the overall picture of economic development

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Summary

Introduction

As the "wind vane" of economic development, is closely related to economic development. Electrical data can more truly reflect the overall picture of economic development. According to the index used to evaluate China's GDP growth launched by the famous British political and economic magazine The Economist in 2010, electric power consumption can more truly reflect the overall picture of economic development. As an important part of Li keqiang index, industrial electricity consumption can better reflect the overall picture of industrial economic development compared with pure economic indicators, so it has become one of the important indicators for scholars to. To sum up, taking Hunan Province as an example, this paper introduces the prosperity analysis method into the electric power consumption market, constructs the electric power economic prosperity index, effectively monitors and warns the electric power in Hunan Province, and predicts the electric power economic situation in Hunan Province

Index selection and data processing
Empirical results
Conclusions
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