In order to achieve green and coordinated development of regional manufacturing industry, this article takes the manufacturing industry in the Yangtze River Delta region from 2010 to 2021 as the research object. The super efficiency SBM model with unexpected output and the Malmquist (GML) index with global reference are used to measure the static green development efficiency value and dynamic green total factor productivity value of regional manufacturing industry, and the dynamic green total factor productivity value is decomposed by index, Thus, the dynamic trends and regional differences in the green development of manufacturing industry in the Yangtze River Delta region are studied in terms of time and space dimensions. Research has found that the overall static green total factor productivity of the manufacturing industry in the Yangtze River Delta region is less than 1, which has not reached the forefront of DEA effective production, but shows a slow upward trend. The green development efficiency of the manufacturing industry in different provinces varies greatly, with Shanghai having the highest level of green development in the manufacturing industry. The GML index decomposition shows that the technical efficiency change index is the main factor affecting the green total factor productivity of the manufacturing industry in the Yangtze River Delta region. Therefore, it is necessary to improve the level of resource allocation and green technology innovation in the manufacturing industry of the Yangtze River Delta region; In terms of spatial dimension, the coordination between the development of manufacturing industry and technological innovation in Jiangsu Province is good. However, the growth momentum of green total factor productivity in the manufacturing industry in Shanghai, Anhui, and Zhejiang provinces is insufficient. We must persist in eliminating backward industries and driving innovation.

Wangjun Peng. Measurement of Green Total Factor Productivity in China's Regional Manufacturing Industry—Taking the Yangtze River Delta Region as an Example. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 7: 61-73. https://doi.org/10.25236/IJNDES.2023.070709.

[1] Hu Angang. Analysis of the characteristics and significance of Chinese path to modernization road [J]. Journal of Shandong University (Philosophy and Social Sciences Edition), 2021 (01): 21-38.

[2] Zhang Fan, Liu Jiawei. The orientation and path of high-quality development of manufacturing industry in the perspective of Chinese path to modernization [J]. Jianghai Academic Journal, 2023 (02): 109-116.

[3] Qiao Yue. The Road to Green Development of China's Manufacturing Industry under the Carbon Neutrality Goal [J]. Academic Frontiers of the People's Forum, 2023 (03): 59-70.

[4] Cai Wugan, Xu Fengru. Measurement of the Modernization Level of China's Manufacturing Industry Chain [J]. Statistics and Decision, 2021 (21): 108-112.

[5] Jiang Yongmu, Li Xiang, Tang Yong. Construction of evaluation index system for Chinese path to modernization [J]. Reform, 2022 (12): 22-35.

[6] Cui Lan, Li Yingying, Zhao Deyou. Measurement Model and Empirical Analysis of China's Basic Socialist Modernization [J]. Statistical Theory and Practice, 2022 (10): 3-8.

[7] Ren Baoping, Zhang Qian. Building a scientific and reasonable evaluation index system for Chinese path to modernization [J]. Academic Circles, 2022 (06): 33-42.

[8] Du Mingze. Analysis of Power System Automation Design Based on PLC [J]. Integrated Circuit Application, 2022, 39 (07): 190-191.

[9] Zhang Jinhua, Chen Qiangyuan. Analysis of the green transformation path of China's manufacturing industry under the goal of carbon neutrality [J]. Enterprise Economy, 2021, 40 (08): 36-43.

[10] Xie Xuemei, Wang Ruoyi, Huo Jiage. Green process innovation and corporate performance under government fiscal incentives: an empirical study based on content analysis [J]. Management Review, 2020, 32 (05): 109-124.

[11] Sun Xingquan, Chen Ning. The Development Path and Policy of Green Manufacturing Industry: A Literature Based Study [J]. Financial Supervision, 2017 (20): 107-115.

[12] Wan Lunlai, Zhu Qin. The Impact of R&D Investment on the Growth of Industrial Green Total Factor Productivity: Empirical Data from China's Industry from 1999 to 2010 [J]. Economic Dynamics, 2013 (09): 20-26.

[13] Huang Qinghua, Hu Jiangfeng, Chen Xiding. Environmental regulation and green total factor productivity: a dilemma or a win-win situation? [J] Chinese Population, Resources and Environment, 2018, 28 (11): 140-149.

[14] Chen Shiyi. China's Green Industrial Revolution: An Explanation from the Perspective of Environmental Total Factor Productivity (1980-2008) [J]. 2010 (11): 21-34.

[15] Yin Lihui, Meng Xiaoqian, Wu Chuanqing. The impact of environmental regulations on green total factor productivity of manufacturing in the Yangtze River Economic Belt [J]. Reform, 2022, No. 337 (03): 101-113.

[16] Chen Chaofan. China's Industrial Green Total Factor Productivity and Its Influencing Factors: An Empirical Study Based on ML Productivity Index and Dynamic Panel Model [J]. Statistical Research, 2016 (03): 53-62.

[17] Hou Jian, Chen Heng. Research on the Performance and Driving Factors of Green Transformation of Technology Innovation in China's High Patent Intensive Manufacturing Industry [J]. Management Review, 2018 (04): 59-69.

[18] Lei Yutao, Zhang Shuwen, Sun Jingjing. The impact mechanism and empirical study of environmental regulations on green transformation of manufacturing industry [J]. Science and Technology Progress and Countermeasures, 2020 (23): 63-70.