HIDDEN ELECTRICITY TRANSFER IN INDUSTRIAL SECTORS IN THE YANGTZE RIVER DELTA AREA:AN EMPIRICAL ANALYSIS BASED ON IOA AND SPA METHODS

doi:10.13776/j.cnki.resourcesindustries.20250310.003

Abstract

Abstract: Aiming at the hidden electricity transfer in industrial sectors in the Yangtze River Delta Area, this paper uses the electrical consumption data in the Yangtze River Delta Area to establish a multiple-regional input-output table in 2017, and applies input-output and structural path analysis methods to study the hidden electricity transfer in provinces and in industrial sectors, and hierarchical path decomposition of the industrial chain of hidden electricity transfer.In 2017, Jiangsu is the major province both receiving and outputting hidden electricity, ranking it at the core in the hidden electricity network in the Yangtze River Delta Area playing a crucial role in allocating and transferring electricity. In 2017, Anhui is the main output province of hidden electricity in the Yangtze River Delta Area，Zhejiang is the input province of hidden electricity in the Yangtze River Delta Area. In 2017, Shanghai is the transfer station of hidden electricity in the Yangtze River Delta Area, and its output and input of hidden electricity are basically equal.In 2017, the most important hidden electricity transfer path between provinces in the Yangtze River Delta Area was from Jiangsu to Zhejiang, with an electrical transfer volume of 3.724 17 billion kW·h，next is from Anhui to Jiangsu, with an electrical transfer volume of 2.285 51 billion kW·h.In 2017, among industrial sectors, construction is the largest hidden electricity consuming sector in the Yangtze River Delta Area with a hidden electrical consumption up to 111.954 billion kW·h, followed by manufacturing with 88.576 billion kW·h.The hidden electrical input-output across the four provinces forms a complementary relation that supports the economy with hidden electricity, and helps their industrial division and cooperation, favorable for driving an industrial synergy among the four provinces in the Yangtze River Delta Area and reducing the economic gaps, and further for boosting regional economic integration.In 2017, the ultimate demand for hidden electricity in Jiangsu, Zhejiang and Anhui was gross fixed capital formation, but Shanghai was urban residents' consumption.

Key words: Yangtze River Delta Area, hidden electricity transfer, input-output analysis, structural path analysis

摘要： 为了探究我国长江三角洲地区产业部门隐含电力的转移问题，本文基于长三角地区电力消费数据，通过构建2017年该地区的多区域投入产出表，并运用投入产出分析方法与结构路径分析方法，进而深入研究了长三角地区各省份、各产业部门之间隐含电力的转移情况，以及隐含电力转移的产业链层级路径分解。研究结果显示：1）在2017年，江苏省既是长三角地区的隐含电力输入大省也是输出大省，从而促使该省在长三角地区的隐含电力网络中居于核心地位，起着隐含电力调配与传输的关键作用；安徽省是长三角地区隐含电力的主要输出省；浙江省是长三角地区的隐含电力输入省；上海市是长三角地区隐含电力的中转站，其隐含电力的输出与输入量基本相等。2017年长三角地区省份间最主要的隐含电力转移路径为江苏省到浙江省，隐含电力转移量为37.241 7亿kW·h；其次为安徽省到江苏省，隐含电力转移量为22.855 1亿kW·h。2）在2017年，建筑业是长三角地区隐含电力消耗量最大的产业部门，隐含电力消耗量达到了1 119.54亿kW·h；制造业是长三角地区隐含电力消耗量排名第二的产业部门，隐含电力消耗量达到了885.76亿kW·h。3）长三角地区4个省份之间跨省域的隐含电力输入与输出，在客观上形成了一种互补关系，这种关系既为该地区的经济发展提供了隐含电力支撑，同时也促进了4个省份的产业分工与产业合作，不但有利于推进长三角地区4个省份的产业协同发展及缩小省份间的经济发展差距，而且还能够进一步推动长三角地区经济一体化的发展进程。4）在2017年，固定资本形成总额是江苏省、浙江省、安徽省最主要的隐含电力直接消耗最终需求，而城镇居民消费则是上海市最主要的隐含电力直接消耗最终需求。

关键词: 长江三角洲地区, 隐含电力转移, 投入产出分析, 结构路径分析

CLC Number:

TM73
F426.61

ZHAO Weibo, ZHOU Yin, WANG Yang, WEI Yusi, LUO Zhiwei, QIU Min, JI Ling. HIDDEN ELECTRICITY TRANSFER IN INDUSTRIAL SECTORS IN THE YANGTZE RIVER DELTA AREA:AN EMPIRICAL ANALYSIS BASED ON IOA AND SPA METHODS[J]. Resources & Industries, 2025, 27(2): 106-117.

赵伟博, 周颖, 王阳, 韦于思, 罗志尉, 邱敏, 嵇灵. 长江三角洲地区产业部门隐含电力转移——基于IOA和SPA方法的实证分析[J]. 资源与产业, 2025, 27(2): 106-117.

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HIDDEN ELECTRICITY TRANSFER IN INDUSTRIAL SECTORS IN THE YANGTZE RIVER DELTA AREA:AN EMPIRICAL ANALYSIS BASED ON IOA AND SPA METHODS

长江三角洲地区产业部门隐含电力转移——基于IOA和SPA方法的实证分析

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