基于工业电力数据的区域制造业空间集聚模型

doi:10.11930/j.issn.1004-9649.202201087

中国电力 ›› 2022, Vol. 55 ›› Issue (10): 150-160.DOI: 10.11930/j.issn.1004-9649.202201087

基于工业电力数据的区域制造业空间集聚模型

黄夏楠¹, 沈豫¹, 刘林¹, 胡臻达¹, 顾玖², 王玲玲², 蒋传文²

1. 国网福建省电力有限公司经济技术研究院，福建福州　350012;
2. 上海交通大学电子信息与电气工程学院，上海　200240

收稿日期:2022-01-24 修回日期:2022-07-06 发布日期:2022-10-20
作者简介:黄夏楠（1992—），男，硕士，工程师，从事电力经济，电力市场研究，E-mail：294543400@qq.com;沈豫（1985—），女，博士，高级工程师，从事电力经济、电力市场研究，E-mail：shenyu_edu@qq.com;顾玖（1996—），男，博士研究生，从事电力经济、电力市场研究，E-mail：sjtugujiu@sjtu.edu.cn;王玲玲（1993—），女，通信作者，博士，助理研究员，从事电力优化运行、电力市场研究，E-mail： himalayart@163.com;蒋传文（1966—），男，博士，教授，从事电力系统优化运行、电力市场等研究，E-mail：jiangcw@sjtu.edu.cn
基金资助:
福建省科学技术协会科技创新智库课题研究项目（Fjkx-B2009）；国家重点研发计划资助项目（2018YFB0905200）。

A Spatial Agglomeration Model of Regional Manufacturing Industry Based on Industrial Power Data

HUANG Xianan¹, SHEN Yu¹, LIU Lin¹, HU Zhenda¹, GU Jiu², WANG Lingling², JIANG Chuanwen²

1. Economic and Technical Research Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, China;
2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

Received:2022-01-24 Revised:2022-07-06 Published:2022-10-20
Supported by:
This work is supported by Research Project of Science & Technology Innovation Think Tank of Fujian Association for Science & Technology (No. Fjkx-B2009) and National Key Research & Development Program of China (No.2018YFB0905200).

摘要/Abstract

摘要： 电力数据具有实时性和准确性的优点，越来越多的电网企业开展电力消费数据的应用服务，助力区域产业发展。基于此，提出将工业电力数据应用于区域产业空间集聚研究，综合采用区位商、空间基尼系数，分析单一产业的集聚程度；进一步，采用投入产出模型确定区域产业链的关联关系，再利用共同集聚指数计算产业链的集聚效应。最后采用福建省制造业电力消费数据，对福建省产业空间集聚开展实证分析，并以经济数据对结果进行校验，结果表明：电力数据具有动态监测产业集群空间集聚活动的能力，可为区域产业布局提供数据支撑。

关键词: 工业电力数据, 制造业, 投入产出模型, 空间集聚, 关联产业

Abstract: The electric power data has the advantages of real-time and accuracy, and more and more power supply companies are developing application services of power consumption data to help regional industry development. Based on this, this paper proposes to apply the industrial power data to the construction of a regional industrial agglomeration model. Firstly, the location quotient and spatial Gini coefficient are comprehensively used to analyze the degree of agglomeration of a single industry. Further, the input-output model is used to determine the relationship of regional industrial chains, and the common agglomeration index is used to calculate the agglomeration effect of the industrial chain. Finally, the power consumption data of the manufacturing industry in Fujian Province is used to make an empirical analysis on the industrial spatial agglomeration of Fujian Province, and the economic data are used to verify the results. The results show that the power data has the ability to dynamically monitor the spatial agglomeration activities of industrial clusters, and can provide data support for regional industrial layout.

Key words: industrial power data, manufacturing industry, input-output model, spatial agglomeration, related industries

黄夏楠, 沈豫, 刘林, 胡臻达, 顾玖, 王玲玲, 蒋传文. 基于工业电力数据的区域制造业空间集聚模型[J]. 中国电力, 2022, 55(10): 150-160.

HUANG Xianan, SHEN Yu, LIU Lin, HU Zhenda, GU Jiu, WANG Lingling, JIANG Chuanwen. A Spatial Agglomeration Model of Regional Manufacturing Industry Based on Industrial Power Data[J]. Electric Power, 2022, 55(10): 150-160.

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https://www.electricpower.com.cn/CN/Y2022/V55/I10/150

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基于工业电力数据的区域制造业空间集聚模型

A Spatial Agglomeration Model of Regional Manufacturing Industry Based on Industrial Power Data

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