Data Elements Accumulation Enabling the “Threeizations” Upgrading of Manufacturing: Theoretical Mechanism
Download PDF
$currentUrl="http://$_SERVER[HTTP_HOST]$_SERVER[REQUEST_URI]"

Keywords

Data elements
Manufacturing
High-end
Intelligent
Green

DOI

10.26689/pbes.v8i2.10337

Submitted : 2025-03-30
Accepted : 2025-04-14
Published : 2025-04-29

Abstract

The data production elements are driving profound transformations in the real economy across production objects, methods, and tools, generating significant economic effects such as industrial structure upgrading. This paper aims to reveal the impact mechanism of the data elements on the “three transformations” (high-end, intelligent, and green) in the manufacturing sector, theoretically elucidating the intrinsic mechanisms by which the data elements influence these transformations. The study finds that the data elements significantly enhance the high-end, intelligent, and green levels of China’s manufacturing industry. In terms of the pathways of impact, the data elements primarily influence the development of high-tech industries and overall green technological innovation, thereby affecting the high-end, intelligent, and green transformation of the industry.

References

Jones CI, Tonetti C, 2020, Nonrivalry and the Economics of Data. American Economic Review, 110(9): 2819–2858.

Veldkamp L, Chung C, 2019, Data and the Aggregate Economy. Journal of Economic Literature, 62(2): 458–484.

Schaefer M, Sapi G, 2020, Learning from Data and Network Effects: The Example of Internet Search. SSRN Working Paper, 1894.

Xu X, Li K, Tian X, 2021, Research Progress on Data as Production Elements. Economic Perspectives, (04): 142–158.

Cai Y, Ma W, 2021, The Impact of Data Elements on High-Quality Development and Constraints on Data Flow. Quantitative & Technical Economics Research, 38(03): 64–83.

Jorgenson DW, Vu KM, 2016, The ICT Revolution, World Economic Growth, and Policy Issues. Telecommunications Policy, 40(5): 383–397.

Farboodi M, Veldkamp L, 2020, A Growth Model of the Data Economy. NBER Working Papers, 28427.

Xiong X, Zhang T, Duan Y, et al., 2019, Measurement and Differences in Green Development Levels of Urban Agglomerations in the Middle Reaches of the Yangtze River. Economic Geography, 39(12): 96–102.

Zhang X, Wei F, Yuan X, 2020, Evaluation and Evolution of High-Quality Green Development Levels in Chinese Provinces. Economic Geography, 40(02): 108–116.

Gao Y, 2019, Research on Green Development Performance and Influencing Factors in China’s Eight Comprehensive Economic Zones. Quantitative & Technical Economics Research, 36(09): 3–23.

Xu X, Fan H, Su Y, et al., 2021, Research on the Level of Green Economic Development in China and Its Influencing Factors. Quantitative & Technical Economics Research, 38(07): 65–82.

Luo L, Zhang Z, 2024, The Spatial Correlation Network of Industrial Intelligence in Chinese Cities and Its Driving Mechanisms. Journal of Finance and Economics, 50(01): 109–123.

Zhou Q, 2023, Research on the Impact and Mechanism of the Digital Economy on the Green Development of Manufacturing. Nanjing Social Sciences, (11): 67–78.

Bao J, Miao Y, Chen F, 2008, Low-Carbon Economy: A New Transformation in Human Economic Development. China Industrial Economics, (04): 153–160.

Arik L, 2009, Technology, International Trade, and Pollution from U.S. Manufacturing. American Economic Review, 99(5): 2177–2192.