Policy-Related Inspirations from Technological Transformation and Intelligence Upgrading of Manufacturing in Zhejiang Province

Huanyong Ji, Yuan Zhou

Strategic Study of CAE ›› 2018, Vol. 20 ›› Issue (4) : 122-126.

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Strategic Study of CAE ›› 2018, Vol. 20 ›› Issue (4) : 122-126. DOI: 10.15302/J-SSCAE-2018.04.020
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Policy-Related Inspirations from Technological Transformation and Intelligence Upgrading of Manufacturing in Zhejiang Province

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Abstract

Promoting technological transformation and intelligence upgrading of the manufacturing industry is an important measure to deepen the supply-side structural reform. However, due to the disproportionation in development of China’s manufacturing industry, how to effectively promote transformation of the industrial base is the major difficulty in China’s industrial policy implementation at the present stage. Since 2013, Zhejiang Province has accumulated rich working experience in terms of advancing technological transformation and intelligence upgrading of the manufacturing industry, and obtained remarkable achievements in the aspects of improving the quality of manufacturing products, easing labor pressure, optimizing the investment structure, and fostering emerging industries. Based on field research of the manufacturing industry in Zhejiang Province, this study summarized the main methods and effects in the aspects of giving play to government guidance, stimulating enterprise initiatives, and optimizing market supply in the process of technological transformation and intelligence upgrading of the manufacturing industry in Zhejiang Province, and proposed policy suggestions for comprehensive promotion of technological transformation and intelligence upgrading of the manufacturing industry in China.

Keywords

Zhejiang Province / technological transformation / intelligence upgrading / inspirations

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Huanyong Ji, Yuan Zhou. Policy-Related Inspirations from Technological Transformation and Intelligence Upgrading of Manufacturing in Zhejiang Province. Strategic Study of Chinese Academy of Engineering, 2018, 20(4): 122‒126 https://doi.org/10.15302/J-SSCAE-2018.04.020
Funding
CAE Advisory Project “Intelligent Manufacturing Led by New-Generation Artificial Intelligence” (2017-ZD-08-03); CAE Advisory Project (2014-ZD-7); National Natural Science Foundation of China (91646102, 71303130, L16240452, L1524015, 71203117); the Humanities and Social Science Project by the Ministry of Education of China (16JDGC011); Volvo-supported project of the Research Center for Green Economy and Sustainable Development, Tsinghua University(20153000181)
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