Trend of Manufacturing Transfer and Undertaking Between Regions in China Based on Electricity Consumption by Province and Industry

doi:10.11930/j.issn.1004-9649.202311085

Abstract

Abstract:

Since 2008, the internal and external conditions of China's economic development have changed dramatically, and the government attaches great importance to the orderly transfer of industries and the optimization of productivity. In view of the existing situation that for a long time the technical means have not been enough to judge the trend of industrial transfer in China and relevant research conclusions are controversial, this paper establishes a method to evaluate the trend and scale of industrial transfer and undertaking by taking advantage of the electricity consumption statistics. Based on the calculation of power consumption by province and industry during 2010-2021, it is found that there is a certain scale of industrial transfer and undertaking between regions; environmental protection policies have a great impact on the industrial relocation in North China and Central China power grid; the scale of East China power grid's regional industrial transfer is less than expected, which may be due to the reason that the industrial transfer is mainly undertaken within the region; in addition to the increasing agglomeration trend of energy-consuming industries, textile, medicine, equipment manufacturing and other industries are transfering to the northwest power grid region; the regional industrial transfer types in China Southern power grid's region are more diverse and the scale is larger, mainly due to the influence of Guangdong Province. Combined with the research conclusions, relevant policy proposals are put forward.

Key words: region, manufacturing, industrial transfer, industrial undertaking, electricity consumption, industrial agglomeration

Xiang WANG, Guoqiang JI, Chenrui WU. Trend of Manufacturing Transfer and Undertaking Between Regions in China Based on Electricity Consumption by Province and Industry[J]. Electric Power, 2024, 57(6): 1-8.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202311085

https://www.electricpower.com.cn/EN/Y2024/V57/I6/1

Figures/Tables 9

Fig.1 Proportion of regional output of some products in 2021

Fig.2 HHI changes of some products from 2010 to 2021

Fig.3 Power consumption of industrial transfer and undertaking in North China power grid

Fig.4 Power consumption of industrial transfer and undertaking in East China power grid

Fig.5 Power consumption of industrial transfer and undertaking in Central China power grid

Fig.6 Power consumption of industrial transfer and undertaking in Northeast China power grid

Fig.7 Power consumption of industrial transfer and undertaking in Northwest China

Fig.8 Power consumption of industrial transfer and undertaking in Southwest China

Fig.9 Power consumption of industrial transfer and undertaking in China southern power grid region

References 29

1	毛琦梁, 董锁成, 王菲, 等. 我国产业转移的研究进展评述与展望: 基于传统贸易理论与新经济地理学的比较[J]. 区域经济评论, 2014, (2): 138- 147.
2	高煜, 张雪凯. 政策冲击、产业集聚与产业升级: 丝绸之路经济带建设与西部地区承接产业转移研究[J]. 经济问题, 2016, (1): 1- 7.
	GAO Yu, ZHANG Xuekai. Policy impact, industrial agglomeration and industrial upgrading: research on the construction of the silk road economic belt and the transfer of industry in the west[J]. On Economic Problems, 2016, (1): 1- 7.
3	VERNON R. International investment and international trade in the product cycle[J]. The Quarterly Journal of Economics, 1966, 80 (2): 190- 207.
4	安虎森. 高级区域经济学[M]. 5版. 大连: 东北财经大学出版社, 2023: 84–104.
5	车维汉. "雁行形态"理论及实证研究综述[J]. 经济学动态, 2004, (11): 102- 106.
6	FUJITA M, KRUGMAN P, VENABLES A J. The spatial economy: cities, regions, and international trade [M]. MIT Press, 2001.
7	胡安俊, 孙久文. 中国制造业转移的机制、次序与空间模式[J]. 经济学(季刊), 2014, 13 (4): 1533- 1556.
	HU Anjun, SUN Jiuwen. Migration of manufacturing industries in China: whether, how and where[J]. China Economic Quarterly, 2014, 13 (4): 1533- 1556.
8	刘红光, 王云平, 季璐. 中国区域间产业转移特征、机理与模式研究[J]. 经济地理, 2014, 34 (1): 102- 107.
	LIU Hongguang, WANG Yunping, JI Lu. Characteristics, mechanism and pattern of inter-regional industry transfers in China[J]. Economic Geography, 2014, 34 (1): 102- 107.
9	靳卫东, 王林杉, 徐银良. 区域产业转移的定量测度与政策适用性研究[J]. 中国软科学, 2016, (10): 71- 89.
	JIN Weidong, WANG Linshan, XU Yinliang. Research on quantitative measurement and policy applicability of cross-regional industrial transfer[J]. China Soft Science, 2016, (10): 71- 89.
10	张国胜, 杨怡爽. 我国制造业内发生了区域间的产业梯度转移吗: 基于“五普” 与“六普” 的数据比较[J]. 当代财经, 2014, (11): 92- 102.
	ZHANG Guosheng, YANG Yishuang. Is there an inter-regional industrial gradient transfer in China's manufacturing sector[J]. Contemporary Finance & Economics, 2014, (11): 92- 102.
11	樊烨, 龙粤泉, 李昱霖. 我国产业转移的现状、问题及建议[J]. 中国发展观察, 2020, (3): 89- 92.
12	郑文光. 连续空间视角下中国产业转移规律的研究[J]. 河北经贸大学学报, 2023, 44 (3): 63- 77.
	ZHENG Wenguang. Research on the law of industrial transfer in China from the perspective of continuous space[J]. Journal of Hebei University of Economics and Business, 2023, 44 (3): 63- 77.
13	郑宇豪, 石贵成, 吴幽, 等. 我国B2B电商市场集中度影响因素的实证研究[J]. 商业经济研究, 2018, (15): 72- 75.
14	迟景明, 任祺. 基于赫芬达尔-赫希曼指数的我国高校创新要素集聚度研究[J]. 大连理工大学学报(社会科学版), 2016, 37 (4): 5- 9.
	CHI Jingming, REN Qi. Research on the agglomeration degree of university innovative elements in China: based on herfindahl-hirschman index[J]. Journal of Dalian University of Technology (Social Sciences), 2016, 37 (4): 5- 9.
15	周飞, 孙小丹. 论我国出口多样化对经济增长的影响: 基于赫芬达尔指数测量指标的量化研究[J]. 求索, 2012, (2): 14- 16, 224.
16	张友国. 区域间产业转移模式与梯度优势重构—以长江经济带为例[J]. 中国软科学, 2020, (3): 87- 99.
	ZHANG Youguo. Inter-regional industrial transfer pattern and gradient advantage reconstruction—a case study of Yangtze River economic belt[J]. China Soft Science, 2020, (3): 87- 99.
17	张公嵬, 梁琦. 产业转移与资源的空间配置效应研究[J]. 产业经济评论, 2010, 9 (3): 1- 21.
	ZHANG Gongwei, LIANG Qi. The study of industry transfer and the spacial allocative effect of resources[J]. Review of Industrial Economics, 2010, 9 (3): 1- 21.
18	关爱萍, 曹亚南. 中国制造业产业转移变动趋势: 2001—2014年[J]. 经济与管理, 2016, 30 (6): 66- 72.
	GUAN Aiping, CAO Yanan. The transfer evolution trend of manufacture industry in China: 2001—2014[J]. Economy and Management, 2016, 30 (6): 66- 72.
19	孙久文, 胡安俊, 陈林. 中西部承接产业转移的现状、问题与策略[J]. 甘肃社会科学, 2012, (3): 175- 178.
20	李舒琪. 国内产业转移影响我国中西部地区经济发展的实证研究[D]. 上海: 上海财经大学, 2020.
21	石敏俊. 区域经济学[M]. 北京: 中国人民大学出版社, 2020.
22	安虎森等. 区域经济学[M]. 北京: 高等教育出版社, 2018.
23	岳昊, 郑雅楠, 马国真. 京津冀产业协同发展成效、问题及政策建议—基于产业用电量的视角[J]. 中国能源, 2020, 42 (6): 32- 36, 16.
	YUE Hao, ZHENG Yanan, MA Guozhen. Beijing-Tianjin-Hebei industry coordinated development effect, problems and policy suggestions[J]. Energy of China, 2020, 42 (6): 32- 36, 16.
24	史静, 李琥, 谈健, 等. 基于产业转移背景下江苏典型地区电力需求预测研究[J]. 电力科技与环保, 2020, 36 (5): 7- 14.
	SHI Jing, LI Hu, TAN Jian, et al. Research on electricity demand forecasting of typical areas in Jiangsu Province based on the background of industrial transfer[J]. Electric Power Technology and Environmental Protection, 2020, 36 (5): 7- 14.
25	黄夏楠, 沈豫, 刘林, 等. 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, et al. A spatial agglomeration model of regional manufacturing industry based on industrial power data[J]. Electric Power, 2022, 55 (10): 150- 160.
26	单葆国, 张成龙, 王向, 等. 中国电力弹性系数与工业化阶段关系[J]. 中国电力, 2020, 53 (7): 1- 6.
	SHAN Baoguo, ZHANG Chenglong, WANG Xiang, et al. Relationship between electricity elasticity coefficient and industrialization stage in China[J]. Electric Power, 2020, 53 (7): 1- 6.
27	雒海潮, 苗长虹, 李国梁. 不同区域尺度产业转移实证研究及相关论争综述[J]. 人文地理, 2014, 29 (1): 1- 8.
	LUO Haichao, MIAO Changhong, LI Guoliang. Review on empirical research and related controversies of different regional scale industrial transfer[J]. Human Geography, 2014, 29 (1): 1- 8.
28	罗良文, 赵凡. 中国高耗能产业转移的定量测度和影响因素研究[J]. 学习与探索, 2020, (11): 102- 109.
29	黄徐亮, 徐海东, 倪鹏飞, 等. 长三角地区产业转移特征及其影响因素[J]. 经济地理, 2023, 43 (1): 124- 132.
	HUANG Xuliang, XU Haidong, NI Pengfei, et al. Characteristics and influencing factors of industrial transfer in Yangtze River Delta[J]. Economic Geography, 2023, 43 (1): 124- 132.

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