Evaluation of Digital Economy Growth: the Validity of the Data Envelopment Analysis (DEA) Method
DOI:
https://doi.org/10.55927/eajmr.v3i6.9632Keywords:
Digital Economy, Data Envelopment Analysis (DEA), Digital Infrastructure, Efficiency Measurement, Index Method, Scale Measurement, Urban Economic GrowthAbstract
This research aims to provide methodological insights that can be used in related studies, as well as offer guidance for the development and improvement of urban digital economies. Gross Domestic Product (GDP)-based scale measurement methods and input-output methods show significant variations in the measurement of digitalisation and the contribution of the digital economy. While index techniques offer convenience in the calculation and expansion of indicators, their accuracy and scientific validity are often in doubt due to subjectivity in the weighting and selection of indicators. DEA offers great flexibility by allocating input and output weights endogenously, reducing the influence of subjectivity. DEA is able to identify fast-growing cities in the digital economy, assess effectiveness, and provide strong support for managerial decision-making, as well as provide guidance for the development of smarter and more efficient cities in the future. This research makes a practical contribution to the development of more appropriate and effective digital economy policies and strategies.
References
Aly, H. (2022). Digital transformation, development and productivity in developing countries: is artificial intelligence a curse or a blessing? Review of Economics and Political Science, 7(4), 238–256. https://doi.org/10.1108/REPS-11-2019-0145
Arnold, S. (2023). Africa’s roads to digital development: paving the way for Chinese structural power in the ICT sector? In Review of International Political Economy (pp. 1–25). Informa UK Limited. https://doi.org/10.1080/09692290.2023.2297363
Balsalobre-Lorente, D., Abbas, J., He, C., Pilař, L., & Shah, S. A. R. (2023). Tourism, urbanization and natural resources rents matter for environmental sustainability: The leading role of AI and ICT on sustainable development goals in the digital era. Resources Policy, 82. https://doi.org/10.1016/j.resourpol.2023.103445
Cacciolatti, L. (2024). Public science and environmental sustainability: a national culture framework for innovation ecosystems en route to net zero. In Digital Economy and Sustainable Development (Vol. 2, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1007/s44265-024-00034-5
Dian, J., Song, T., & Li, S. (2024). Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation. In Energy Economics (Vol. 129, p. 107223). Elsevier BV. https://doi.org/10.1016/j.eneco.2023.107223
Ding, C., Liu, C., Zheng, C., & Li, F. (2022). Digital economy, technological innovation and high-quality economic development: Based on spatial effect and mediation effect. Sustainability (Switzerland), 14(1). https://doi.org/10.3390/su14010216
Gaglio, C., Kraemer-Mbula, E., & Lorenz, E. (2022). The effects of digital transformation on innovation and productivity: Firm-level evidence of South African manufacturing micro and small enterprises. Technological Forecasting and Social Change, 182. https://doi.org/10.1016/j.techfore.2022.121785
Ge, Y., Xia, Y., & Wang, T. (2024). Digital economy, data resources and enterprise green technology innovation: Evidence from A-listed Chinese Firms. In Resources Policy (Vol. 92, p. 105035). Elsevier BV. https://doi.org/10.1016/j.resourpol.2024.105035
Ghimire, A., Ali, S., Long, X., Chen, L., & Sun, J. (2024). Effect of Digital Silk Road and innovation heterogeneity on digital economy growth across 29 countries: New evidence from PSM-DID. In Technological Forecasting and Social Change (Vol. 198, p. 122987). Elsevier BV. https://doi.org/10.1016/j.techfore.2023.122987
Hu, C., & Zhao, Y. (2024). Research on Optimizing 6G Data-Driven Decision-Making Using Wireless Cyber Enterprise Innovation Process Using Decision Tree Algorithm. In Wireless Personal Communications. Springer Science and Business Media LLC. https://doi.org/10.1007/s11277-024-11018-1
Li, J., Chen, L., Chen, Y., & He, J. (2022). Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China. Managerial and Decision Economics, 43(3), 616–629. https://doi.org/10.1002/mde.3406
Lin, Q., & Zhou, P. (2024). Synergy of digital economy and green economy in sustainable development policy. In Journal of Autonomous Intelligence (Vol. 7, Issue 3). Frontier Scientific Publishing Pte Ltd. https://doi.org/10.32629/jai.v7i3.1299
Liu, Y., Tian, G., & Zhang, X. (2024). Digital economy and China’s path to common prosperity. In Digital Economy and Sustainable Development (Vol. 2, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1007/s44265-024-00031-8
Liu, Y., Xie, Y., & Zhong, K. (2024). Impact of digital economy on urban sustainable development: Evidence from Chinese cities. In Sustainable Development (Vol. 32, Issue 1, pp. 307–324). IOP Publishing. https://doi.org/10.1002/sd.2656
Liu, Y., Zheng, M., & Shum, W. Y. (2024). On the linkages between digital finance and real economy in China: A cointegration analysis. In Innovation and Green Development (Vol. 3, Issue 1, p. 100109). Elsevier BV. https://doi.org/10.1016/j.igd.2023.100109
Lutfi, A., Alsyouf, A., Almaiah, M. A., Alrawad, M., Abdo, A. A. K., Al-Khasawneh, A. L., Ibrahim, N., & Saad, M. (2022). Factors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs. Sustainability (Switzerland), 14(3). https://doi.org/10.3390/su14031802
Lyu, Y., Wang, W., Wu, Y., & Zhang, J. (2023). How does digital economy affect green total factor productivity? Evidence from China. Science of the Total Environment, 857. https://doi.org/10.1016/j.scitotenv.2022.159428
Ren, S., Li, L., Han, Y., Hao, Y., & Wu, H. (2022). The emerging driving force of inclusive green growth: Does digital economy agglomeration work? Business Strategy and the Environment, 31(4), 1656–1678. https://doi.org/10.1002/bse.2975
Ruban, D. A. (2024). Contemporary Asian experience of digitalization and sustainable development in economy and management. A review of the book “Business and management in Asia: digital innovation and sustainability” (Springer, 2023). In E-Management (Vol. 6, Issue 4, pp. 125–130). State University of Management. https://doi.org/10.26425/2658-3445-2023-6-4-125-130
Shahidi Hamedani, S., Abdulaziz Bawazir, A., & Bin Annuar, A. (2024). The Impact of Working Environment, Salary, and Job Security on Job Satisfaction among Workers in Sarawak’s Government Linked Company: The Case of Sarawak Digital Economy Corporation. In Journal of Entrepreneurship and Business Innovation (Vol. 11, Issue 1, p. 20). Macrothink Institute, Inc. https://doi.org/10.5296/jebi.v11i1.21623
Smolinski, J. (2024). Navigating the Digital Frontier: Emerging Trends in Digital Innovation Management for 2023 and Beyond. In International Journal of Innovation and Technology Management. World Scientific Pub Co Pte Ltd. https://doi.org/10.1142/S0219877024500329
Song, Y., & Jiang, Y. (2024). How Does the Digital Economy Drive the Optimization and Upgrading of Industrial Structure? The Mediating Effect of Innovation and the Role of Economic Resilience. In Sustainability (Switzerland) (Vol. 16, Issue 4, p. 1352). MDPI AG. https://doi.org/10.3390/su16041352
Wang, J., Dong, K., Dong, X., & Taghizadeh-Hesary, F. (2022). Assessing the digital economy and its carbon-mitigation effects: The case of China. Energy Economics, 113. https://doi.org/10.1016/j.eneco.2022.106198
Wang, L., Lin, S., Zhang, M., Ding, J., & Zhang, L. (2024). Technological Innovation Through Complex Networks: a Study of 100 Listed Companies on China’s Growth Enterprise Market. In Journal of the Knowledge Economy. Springer Science and Business Media LLC. https://doi.org/10.1007/s13132-024-01798-z
Xiao, D., Zhang, C., & Huang, Y. (2024). Digital economy policy and enterprise digital transformation: Evidence from innovation and structural effect. In Managerial and Decision Economics (Vol. 45, Issue 4, pp. 2348–2359). Wiley. https://doi.org/10.1002/mde.4144
Xue, Y., Tang, C., Wu, H., Liu, J., & Hao, Y. (2022). The emerging driving force of energy consumption in China: Does digital economy development matter? Energy Policy, 165. https://doi.org/10.1016/j.enpol.2022.112997
Yi, M., Liu, Y., Sheng, M. S., & Wen, L. (2022). Effects of digital economy on carbon emission reduction: New evidence from China. Energy Policy, 171. https://doi.org/10.1016/j.enpol.2022.113271
Zhang, J., Lyu, Y., Li, Y., & Geng, Y. (2022). Digital economy: An innovation driving factor for low-carbon development. Environmental Impact Assessment Review, 96. https://doi.org/10.1016/j.eiar.2022.106821
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