ORIGINAL RESEARCH
Towards Sustainable Development: Measurement
and Analysis of Green Development Levels
and Obstacles in China’s Regional Manufacturing
under the Digital Economy
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School of Management, Shenyang University of Technology, Shenyang, China
Submission date: 2024-07-09
Final revision date: 2024-08-02
Acceptance date: 2024-08-15
Online publication date: 2024-12-03
Publication date: 2025-08-20
Corresponding author
Yuqing Zhou
School of Management, Shenyang University of Technology, Shenyang, China
Pol. J. Environ. Stud. 2025;34(5):6413-6423
KEYWORDS
TOPICS
ABSTRACT
In the context of the digital economy, green development in regional manufacturing is essential for
fostering high-quality economic growth and environmental sustainability. This study evaluates the level
of green development and identifies obstacles in China’s regional manufacturing sector under the digital
economy, offering governance strategies accordingly. Using 2022 data from 30 provinces, the entropy
method measures green development levels, and the obstacle degree model identifies constraining
factors. The results show that: (1) digitization and intelligentization are pivotal for green development,
with economic benefits and sustainable development being the primary evaluative criteria. (2) There are
significant regional disparities in green and sustainable development scores. High-scoring provinces like
Beijing and Guangdong excel across multiple dimensions, while low-scoring provinces such as Gansu
and Qinghai lag in digitization, low-carbonization, and intelligentization. (3) Key obstacles to green
development include challenges in sustainable development, technology, and innovation. Addressing
these issues requires targeted and comprehensive strategies. This research innovates by incorporating
digital economy factors into green development evaluations, offering new insights and quantitative
analyses for policymakers.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (33)
1.
LIU K., LIN B. Research on influencing factors of environmental pollution in China: A spatial econometric analysis. Journal of Cleaner Production, 206, 356, 2019.
https://doi.org/10.1016/j.jcle....
2.
REN W., XU Y., NI J. Evolution of marine ecology industry symbiosis patterns and ecological security assessment: New evidence from coastal areas of China. Ocean & Coastal Management, 247, 106939, 2024.
https://doi.org/10.1016/j.ocec....
3.
ZHAO X., DING X., LI L. Research on environmental regulation, technological innovation and green transformation of manufacturing industry in the Yangtze River Economic Belt. Sustainability, 13 (18), 10005, 2021.
https://doi.org/10.3390/su1318....
4.
CHENG Y., ZHOU X., LI Y. The effect of digital transformation on real economy enterprises' total factor productivity. International Review of Economics & Finance, 85, 488, 2023.
https://doi.org/10.1016/j.iref....
5.
CHENG W., LI C., ZHAO T. The stages of enterprise digital transformation and its impact on internal control: Evidence from China. International Review of Financial Analysis, 292, 103079, 2024.
https://doi.org/10.1016/j.irfa....
6.
MATTHESS M., KUNKEL S. Structural change and digitalization in developing countries: Conceptually linking the two transformations. Technology in Society, 63, 101428, 2020.
https://doi.org/10.1016/j.tech....
7.
HUANG Y., ZHANG Y. Digitalization, positioning in global value chain and carbon emissions embodied in exports: Evidence from global manufacturing production-based emissions. Ecological Economics, 205, 107674, 2023.
https://doi.org/10.1016/j.ecol....
8.
LIU H., ZHAO H. Upgrading models, evolutionary mechanisms and vertical cases of service-oriented manufacturing in SVC leading enterprises: Product development and service innovation for industry 4.0. Humanities and Social Sciences Communications, 9 (1), 1, 2022.
https://doi.org/10.1057/s41599....
9.
BILAN Y., OLIINYK O., MISHCHUK H., SKARE M. Impact of information and communications technology on the development and use of knowledge. Technological Forecasting and Social Change, 191, 122519, 2023.
https://doi.org/10.1016/j.tech....
10.
VERMA S., KAUR S., KHAN M.A., SEHDEV P.S. Toward green communication in 6G-enabled massive Internet of Things. IEEE Internet of Things Journal, 8 (7), 5408, 2020.
https://doi.org/10.1109/JIOT.2....
11.
WEI X., CHUANKUAI P. Evaluation of coupling coordination level and analysis of obstacle factors for county high quality development: A case study of Hubei Province. Statistics and Decision, 39 (22), 123, 2023.
12.
XINMEI Y., HEPING H., RUIHUI Z. Evaluation and spatial-temporal evolution of urban green development in China. Acta Ecological Sinica, 43 (04), 1353, 2023.
https://doi.org/10.5846/stxb20....
13.
CHENG S., PEIYANG Z., BO X. Measurement and spatial differentiation of green development in Jiangxi Province. Economic Geography, 41 (06), 180, 2021.
14.
JI Y., SHENG Q., ZHU Z. Assessment of ecological benefits of urban green spaces in Nanjing city, China, based on the entropy method and the coupling harmonious degree model. Sustainability, 15 (13), 10516, 2023.
https://doi.org/10.3390/su1513....
15.
LIAO B., LI L. Urban green innovation efficiency and its influential factors: The Chinese evidence. Environment, Development and Sustainability, 25 (7), 6551, 2023.
https://doi.org/10.1007/s10668....
16.
YANG L., LIU Y., DENG H. Environmental governance, local government competition and industrial green transformation: Evidence from China's sustainable development practice. Sustainable Development, 31 (2), 1054, 2023.
https://doi.org/10.1002/sd.244....
17.
YUAN H., FENG Y., LEE C.C., CEN Y. How does manufacturing agglomeration affect green economic efficiency? Energy Economics, 92, 104944, 2020.
https://doi.org/10.1016/j.enec....
18.
NCUBE A., MTETWA S., BUKHARI M., FIORENTINO G., PASSARO R. Circular economy and green chemistry: the need for radical innovative approaches in the design for new products. Energies, 16 (4), 1752, 2023.
https://doi.org/10.3390/en1604....
19.
PYLAEVA I.S., PODSHIVALOVA M.V., ALOLA A.A., PODSHIVALOV D.V., DEMIN A.A. A new approach to identifying high-tech manufacturing SMEs with sustainable technological development: Empirical evidence. Journal of Cleaner Production, 363, 132322, 2022.
https://doi.org/10.1016/j.jcle....
20.
FERREIRA J.J., LOPES J.M., GOMES S., RAMMAL H.G. Industry 4.0 implementation: Environmental and social sustainability in manufacturing multinational enterprises. Journal of Cleaner Production, 404, 136841, 2023.
https://doi.org/10.1016/j.jcle....
21.
TORTORELLA G., MIORANDO R., CAIADO R., NASCIMENTO D., STAUDACHER A.P. The mediating effect of employees' involvement on the relationship between Industry 4.0 and operational performance improvement. Total Quality Management & Business Excellence, 32 (1-2), 119, 2021.
https://doi.org/10.1080/147833....
22.
DALAL R., AKDERE M. Examining the relationship between talent management and employee job-related outcomes: The case of the Indian manufacturing industry. Human Resource Development Quarterly, 34 (2), 201, 2023.
https://doi.org/10.1002/hrdq.2....
23.
WU Z., WANG J., QI R., ZHAO M., ZHOU Y. High-tech enterprise manpower capital affects innovative performance on innovation performance simulation design research. IEEE Access, 11, 32319, 2023.
https://doi.org/10.1109/ACCESS....
24.
SCHÖGGL J.P., RUSCH M., STUMPF L., BAUMGARTNER R.J. Implementation of digital technologies for a circular economy and sustainability management in the manufacturing. Sustainable Production and Consumption, 35, 401, 2023.
https://doi.org/10.1016/j.spc.....
25.
ZHENG C., AN Y., WANG Z., EYNARD B., BRICOGNE M., DUIGOU J.L., ZHANG Y. Knowledge-based engineering approach for defining robotic manufacturing system architectures. International Journal of Production Research, 61 (5), 1436, 2023.
https://doi.org/10.1080/002075....
26.
SCOTT P., SPADAVECCHIA A. Patents, industry control, and the rise of the giant American corporation. Research Policy, 52 (1), 104651, 2023.
https://doi.org/10.1016/j.resp....
27.
RAMLI Y., PERMANA D., SHIRATINA A., SOELTON M., YUSOFF Y.M. Implementing innovation strategic against sustainability business on the micro, Small and Medium Enterprises. International Conference and Community Development, 5 (1), 60, 2023.
https://doi.org/10.33068/iccd.....
28.
DENG S., LI B., WU K. Analysing the impact of high-tech industry on regional competitiveness with principal component analysis method based on the new development concept. Kybernetes, 52 (9), 3647, 2023.
https://doi.org/10.1108/K-01-2....
29.
ZHANG M., ZHOU Y., LI L., GONG B. Manufacturing firms' E-commerce adoption and performance: evidence from a large survey in Jiaxing, China. Information Technology and Management, 24 (4), 313, 2023.
https://doi.org/10.1007/s10799....
30.
OPAZO-BASÁEZ M., BUSTINZA O.F., MOLINA L.M. The effect of industrial solution services (ISS) on innovation performance: The moderating role of sustainable development goals (SDGs). Journal of Cleaner Production, 455, 142265, 2024.
https://doi.org/10.1016/j.jcle....
31.
MATT D.T., PEDRINI G., BONFANTI A., ORZES G. Industrial digitalization. A systematic literature review and research agenda. European Management Journal, 41 (1), 47, 2023.
https://doi.org/10.1016/j.emj.....
32.
XU L., LIU Y., ZHANG B., XIANG B. Study on the impact of green finance on low carbon development of manufacturing industry from the perspective of multidimensional space: evidence from China. Environmental Science and Pollution Research, 30 (17), 50772, 2023.
https://doi.org/10.1007/s11356....
33.
ZHANG A., ZHU H., SUN X. Manufacturing intelligentization and technological innovation: Perspectives on intra-industry impacts and inter-industry technology spillovers. Technological Forecasting and Social Change, 204, 123418, 2024.
https://doi.org/10.1016/j.tech....