Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China

Research Article

Evaluation of Industry Growth Driver Conversion Efficiency Based on Electricity Consumption Data

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2332275,
        author={Ding  Han and Hongkun  Bai and Yuanyuan  Wang and Rui  Wu and Feifei  Bu and Yuanpeng  Hua and Yibo  Jia},
        title={Evaluation of Industry Growth Driver Conversion Efficiency Based on Electricity Consumption Data},
        proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={BDEIM},
        year={2023},
        month={6},
        keywords={growth drivers conversion; technical development efficiency; electricity consumption},
        doi={10.4108/eai.2-12-2022.2332275}
    }
    
  • Ding Han
    Hongkun Bai
    Yuanyuan Wang
    Rui Wu
    Feifei Bu
    Yuanpeng Hua
    Yibo Jia
    Year: 2023
    Evaluation of Industry Growth Driver Conversion Efficiency Based on Electricity Consumption Data
    BDEIM
    EAI
    DOI: 10.4108/eai.2-12-2022.2332275
Ding Han1, Hongkun Bai2, Yuanyuan Wang1, Rui Wu3,*, Feifei Bu1, Yuanpeng Hua1, Yibo Jia1
  • 1: State Grid Henan Economic Research Institute
  • 2: tate Grid Henan Economic Research Institute
  • 3: North China Electric Power University
*Contact email: 18811658359@163.com

Abstract

In the last decade, there has been significant economic and social development in China. In the process, the growth drivers have naturally been converted from the old ones into new growth drivers. Unlike the traditional ways of improving the tertiary industry, the conversion of new and old growth drivers (GDC) places more emphasis on innovation, the development of new technologies, and the transformation and upgrading of traditional industries through innovation. To evaluate the level of GDC and assess the difference between new and old growth drivers in various industries, we evaluate technical efficiency based on the SE-CCR method and evaluate the level of technological transformation and upgrading of the industry, so as to realize the evaluation of the GDC level and provide decision-making reference for policy formulation. As an example, this paper selects Henan Province, defined the social fixed social asset investment, electricity consumption, and employment of the industry as input indicators, and chose industry added value as output indicators to assess the industry development efficiency from 2011 to 2017. The results show that economic development efficiency continues to enhance, and the conversion of new and old growth drivers (GDC) in Henan Province is improving steadily and has achieved some results.