The Impact of Manufacturing Intelligence on Green Development Efficiency: A Study Based on Chinese Data

Xiaozhong Li () and Jun Ling
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Xiaozhong Li: School of Economics, Hangzhou Dianzi University, Hangzhou 310018, China
Jun Ling: School of Economics, Hangzhou Dianzi University, Hangzhou 310018, China

Sustainability, 2023, vol. 15, issue 9, 1-19

Abstract: This study used provincial panel data from 2011 to 2020 to empirically analyze the impact of improvements in the manufacturing intelligence level on the efficiency of green development. The results show the following: improvements in manufacturing intelligence significantly increased the efficiency of green development. Following the “Guidelines for the Construction of the National Intelligent Manufacturing Standard System” proposed by China as a quasi-natural experiment, the double-difference method was used to prove the following: the promotional effect is greater in eastern regions after the policy was implemented. An improvement in manufacturing intelligence increases green development efficiency by improving the efficiency of technological innovation and energy use. The impact of the manufacturing intelligence level on green development efficiency shows a threshold effect. The promotion effect is more pronounced in regions where the level of technological innovation and the strength of the government’s role cross this threshold. Therefore, the government should vigorously promote the intelligent transformation of the manufacturing industry and improve the efficiency of China’s green development.

Keywords: manufacturing intelligence; energy use efficiency; technological innovation; government’s role (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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