当代财经 ›› 2020, Vol. 0 ›› Issue (12): 14-25.

• 理论经济 • 上一篇    下一篇

过早去工业化的识别及其经济影响

李国民   

  1. 江西财经大学 经济学院,江西 南昌 330013
  • 收稿日期:2020-08-12 修回日期:2020-10-25 出版日期:2020-12-15 发布日期:2021-01-07
  • 作者简介:李国民,江西财经大学副教授,经济学博士,主要从事产业经济与区域经济研究,联系方式liguomin@jxufe.edu.cn
  • 基金资助:
    国家自然科学基金项目“非平稳时间序列的频域因果关系检验理论及其应用研究”(71963015)

Identification of Premature Deindustrialization and Its Economic Impact

LI Guo-min   

  1. Jiangxi University of Finance and Economics, Nanchang 330013, China
  • Received:2020-08-12 Revised:2020-10-25 Online:2020-12-15 Published:2021-01-07

摘要: 去工业化一直被视为发达国家产业转型的自然结果,然而,不少发展中国家尚未完成工业化就过早进入了去工业化阶段,这可能对经济发展造成深远的负面影响。基于人均收入和制造业比重之间存在非线性关系的理论假设以及跨国面板数据的实证研究表明,样本国家中有14个发展中国家在人均收入水平较低阶段时就出现去工业化现象。相对于发达经济体的正常去工业化,过早去工业化会导致制造业比重峰值水平更低,所对应的人均收入水平也更低。过早去工业化会导致工业发展不足,削弱经济长期增长的动力,从而阻碍经济向中高收入经济体过渡,甚至陷入低水平增长陷阱。

关键词: 过早去工业化, 制造业比重, 人均收入, 经济增长

Abstract: Deindustrialization has always been regarded as the natural result of industrial transformation in developed countries; however, many developing countries have entered the stage of deindustrialization prematurely before completing the task of industrialization, which may bring significant negative impact to the economic development. Based on the theoretical assumption that there is a non-linear relationship between the per capita income and the proportion of the manufacturing industry and the cross-border panel data, this paper conducts an empirical study. The findings show that 14 developing countries in the sample countries have the sign of deindustrialization at the stage of lower level of per capita income. Compared with the normal deindustrialization of the developed economies, premature deindustrialization will lead to an even lower peak level of the proportion of the manufacturing industry, and an even lower corresponding per capita income. Premature deindustrialization will lead to insufficient industrial development, weaken the motive force of long-term economic growth, thus hinder the transition of the economy to medium and high income economy, and even fall into the trap of low-level growth.

Key words: premature deindustrialization, share of the manufacturing industry, income per capita, economic growth

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