Research on the Influence of Industrial Agglomeration on Manufacturing Efficiency——Based on the Perspective of Regional Interaction

›› 2019, Vol. 35 ›› Issue (2): 12-20.

Previous Articles Next Articles

Research on the Influence of Industrial Agglomeration on Manufacturing Efficiency——Based on the Perspective of Regional Interaction

CHEN Yang¹, TANG Xiaohua²

1.School of Business Administration, Northeastern University, Shenyang 110169, China;
2.School of Economics, Liaoning University, Shenyang 110036, China

Received:2018-05-17 Online:2019-02-10 Published:2019-01-28

产业集聚对制造业效率的影响研究——基于区域互动的视角

陈阳¹, 唐晓华²

1.东北大学工商管理学院,辽宁沈阳 110169;
2.辽宁大学经济学院,辽宁沈阳 110036

作者简介:陈阳(1988-),男,山东临沂人,东北大学工商管理学院博士后;唐晓华(1956-),男,辽宁沈阳人,辽宁大学经济学院教授。
基金资助:
国家自然科学基金资助项目(71701040;71803073);教育部人文社会科学研究青年基金项目(18YJC790211)

Abstract

Abstract: Using the data pertaining to 21 manufacturing industries over the period 2006~2015, this paper aims to empirically investigate the mechanisms of regional interactions including competition and learning that improve the effect of manufacturing agglomeration on total factor productivity. The findings highlight that there is a significant non-linear relationship between manufacturing agglomeration, regional interaction and total factor productivity. Regional interaction weakens the role of manufacturing agglomeration and has a negative impact on technological progress, but it improves technical efficiency. The result of the research also shows that the competition mechanism can improve the effect of manufacturing agglomeration. The researcher turnover rate in the learning mechanism can increase the industry efficiency, while R&D funding intensity and R&D efficiency may slow down efficiency improvements.

Key words: Industrial Agglomeration, Regional Interaction, Total Factor Productivity

摘要： 本文利用中国21个制造业行业2006~2015年的统计数据,考察区域互动中的学习和竞争机制如何影响制造业集聚改善行业全要素生产率的作用。研究结果显示,制造业集聚、区域互动与全要素生产率之间均存在显著的非线性关系,区域互动减弱制造业集聚效应;区域互动减缓产业集聚在技术进步中的效果,但对集聚改善技术效率具有促进作用;竞争机制增进制造业集聚效应,提升行业效率;学习机制中的科研人员流动提升行业效率,而研发经费强度和研发效率减缓效率改进。

关键词: 产业集聚, 区域互动, 全要素生产率

CLC Number:

F062.9

CHEN Yang, TANG Xiaohua. Research on the Influence of Industrial Agglomeration on Manufacturing Efficiency——Based on the Perspective of Regional Interaction[J]. , 2019, 35(2): 12-20.

陈阳, 唐晓华. 产业集聚对制造业效率的影响研究——基于区域互动的视角[J]. 财经论丛, 2019, 35(2): 12-20.

References

[1] 范剑勇,冯猛,李方文.产业集聚与企业全要素生产率[J]. 世界经济,2014,(5):51-73.
[2] Wetwitoo J.,Kato H. Inter-regional Transportation and Economic Productivity: A Case Study of Regional Agglomeration Economies in Japan[J]. Annals of Regional Science,2017,(59):1-24.
[3] Qingying Zheng,Boqiang Lin. Impact of Industrial Agglomeration on Energy Efficiency in China's Paper Industry[J]. Journal of Cleaner Production,2018,(184):1072-1080.
[4] Zhang G.,Chen X.,Li Z.,et al. FDI,Industrial Agglomeration and Total Factor Productivity Growth[J]. Science Research Management,2013,(9):114-122.
[5] 于斌斌.中国城市群产业集聚与经济效率差异的门槛效应研究[J]. 经济理论与经济管理,2015,(3):60-73.
[6] Otsuka A.,Goto M.,Sueyoshi T. Industrial Agglomeration Effects in Japan: Productive Efficiency, Market Access and Public Fiscal Transfer[J]. Papers in Regional Science,2010,(4):819-840.
[7] 陈阳,唐晓华.制造业集聚对城市绿色全要素生产率的溢出效应研究——基于城市等级视角[J]. 财贸研究, 2018,(1):1-15.
[8] 赵娜,王博,刘燕.城市群、集聚效应与“投资潮涌”——基于中国20个城市群的实证研究[J]. 中国工业经济,2017, (11):81-99.
[9] 邓慧慧,赵家羚.地方政府经济决策中的“同群效应”[J]. 中国工业经济,2018,(4):59-78.
[10] 汪辉平,王美霞,王增涛.FDI、空间溢出与中国工业全要素生产率——基于空间杜宾模型的研究[J]. 统计与信息论坛,2016, (6):44-50.
[11] 覃成林,杨霞.先富地区带动了其他地区共同富裕吗——基于空间外溢效应的分析[J]. 中国工业经济,2017,(10):44-61.
[12] 罗胤晨,谷人旭.1980-2011年中国制造业空间集聚格局及其演变趋势[J]. 经济地理,2014,(7):82-89.
[13] 刘静,王克敏.同群效应与公司研发——来自中国的证据[J]. 经济理论与经济管理,2018,(1):21-32.
[14] 张丹宁,陈阳.中国装备制造业发展水平及模式研究[J]. 数量经济技术经济研究,2014,(7):99-114.

[1]	WANG Qiang, LI Lu. Resource Allocation Effect of State-owned Enterprises Reform and Its Mechanism Research [J]. Collected Essays on Finance and Economics, 2023, 39(10): 3-15.
[2]	WANG Chunjie, HUANG Jinsheng, ZOU Wei. Research on the Influence of Differentiated Local Investment on Urban Innovation: Based on Land Market Transaction Data [J]. Collected Essays on Finance and Economics, 2022, 38(8): 29-36.
[3]	WANG Qichao. From“Manufacturing Catch-up” to “Innovation Leading”: Connotation Transition and Major Policy Evaluation [J]. Collected Essays on Finance and Economics, 2022, 38(5): 3-13.
[4]	TANG Qingqing, WANG Jue. Study on Impact of Global Value Chain Embeddedness on Export Product Quality of Manufacturing Firms [J]. Collected Essays on Finance and Economics, 2022, 38(4): 3-14.
[5]	SHENG Anqi, GENG Xianhui. Banking Competition and Enterprise Total Factor Productivity [J]. , 2021, 37(5): 14-23.
[6]	XIE Xianjun, WANG Xiaofang, LEI Ming. Financial Structure-Innovation Level Matching, Resource Allocation Efficiency and Green Total Factor Productivity [J]. , 2020, 36(7): 43-52.
[7]	LIANG Huijun. Test on the Transmission Mechanism of Service Trade Openness to Industrial Green Total Factor Productivity——Analysis of the Mediating Effect Based on Technology Promotion Path [J]. , 2020, 36(4): 13-21.
[8]	ZHANG Zhang, ZHENG Yanxi, LI Yujiao. Fiscal Decentralization, Government Behavior and Growth of Green Total Factor Productivity [J]. , 2020, 36(3): 22-33.
[9]	WANG Lei, WANG Xinwen. The Impact of Venture Capital on the Total Factor Productivity of Listed Companies ——Based on the Comparative Analysis of IVC and CVC [J]. , 2020, 36(10): 55-63.
[10]	GUO Wenwei, Zhou Yuan. Competition of Local Governments, Land Finance and Total Factor Productivity ——Based on the Empirical Test of 276 Prefecture-level Cities in China [J]. , 2020, 36(10): 22-32.
[11]	HUANG Yuxia, XIE Jianguo. Vertical Specialization and Total Factor Productivity of Service Industry——Empirical Study Based on China's Service Sub-sectors [J]. , 2019, 35(5): 3-12.
[12]	LIAN Fei, ZHOU Guofu. Institutional Arrangement,Capital Cost and Industrial Agglomeration——Research from the Perspective of Space Economy [J]. , 2019, 35(2): 3-11.
[13]	XUE Long. Economic Policy Uncertainty and Corporate Risk-Taking [J]. , 2019, 35(12): 55-65.
[14]	QIU Feng, YE Mi, XIONG Wei. China's Manufacturing Industry Agglomeration, Geographical Specialization and Structural Evolution [J]. , 2018, 34(9): 21-31.
[15]	WU Xianfu. Have Producer Services and Manufacturing Industry Co-agglomerationPromoted Total Factor Productivity [J]. , 2018, 34(12): 13-20.

Research on the Influence of Industrial Agglomeration on Manufacturing Efficiency——Based on the Perspective of Regional Interaction

产业集聚对制造业效率的影响研究——基于区域互动的视角

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics