Academic Journal of Business & Management, 2024, 6(8); doi: 10.25236/AJBM.2024.060827.
Yaqi Wang
School of Business Administration, Northeastern University, Shenyang, 110000, China
Green economic development was put forward in 2015, and the 2030 Agenda for Sustainable Development was agreed by the United Nations. For today's world economic and social transformation, two major trends include digital economy and green economy. A quasi-natural experiment was used in this study, and panel data from 30 provinces, autonomous regions and municipalities from 2011 to 2022 was the basis of the study. The DID model can be constructed, and the development of green economy can be studied under the influence of data. In order to promote the development of green economy, three approaches can be used by data element aggregation: optimizing the ecological environment, enhancing technological levels, and facilitating enterprise digital transformation. Heterogeneity analysis reveals that in provinces with lower levels of green finance development, the influence of data element aggregation on green economy development is significantly enhanced. Therefore, it is crucial to focus on data element aggregation to promote green economic development.
Data Elements, Green Economy, Big Data Comprehensive Pilot Area
Yaqi Wang. The Impact of Data Element Aggregation on Green Economy Development: Evidence from China. Academic Journal of Business & Management (2024) Vol. 6, Issue 8: 184-191. https://doi.org/10.25236/AJBM.2024.060827.
[1] He Wei, Dong Ying, Lü Jingwen. The Impact of Digital Transformation on the Niche Fitness of Regional Innovation Ecosystem [J]. Science & Technology Progress and Policy, [2024-06-07]: 1-10.
[2] Zhang Xiufan, Fan Decheng. Research on the Development of Digital Economy Empowering my country's Low-Carbon Economic Transformation--Based on the Analysis of the National Big Data Comprehensive Experimental Areas [J]. Science & Technology Progress and Policy, 2023, 40(19):118-128.
[3] Marrucci L, Daddi T, Iraldo F. The contribution of green human resource management to the circular economy and performance of environmental certified organisations[J]. Journal of Cleaner Production, 2021, 319: 128859.
[4] Deng D , Meng H , You M A ,et al.Effect of extracellular polymeric substances on Dolichospermum aggregation during temperature rise[J].Journal of Oceanology and Limnology, 2023, 41(6):2208-2218.
[5] Ma Xing, Xie Hua. Fiscal Decentralization, Industrial Synergy and Agglomeration, and UrbanGreen Development [J]. Journal of Southwest Minzu University(Humanities and Social Sciences Edition), 2023, 44(09):83-93.
[6] Xu L .Renewable resource of aggregation-induced emission materials: From photophysical mechanisms to biomedical applications[J].Coordination chemistry reviews, 2024, 506(May):1.1-1.20.
[7] Brynjolfsson E, Hitt L M, Kim H H. Strength in numbers: How does data-driven decisionmaking affect firm performance?[J]. Available at SSRN 1819486, 2011.
[8] Allouche J, Middleton C, Gyawali D. Technical veil, hidden politics: Interrogating the power linkages behind the nexus [J]. Water Alternatives, 2015, 8(1): 610-626.
[9] Xue Y, Tang C, Wu H, et al. The emerging driving force of energy consumption in China: Does digital economy development matter?[J]. Energy Policy, 2022, 165: 112997.
[10] Carriere-Swallow M Y, Haksar M V. The economics and implications of data: An integrated perspective [M]. International Monetary Fund, 2019.
[11] LIANG Lin, JIN Guangmin. Research on the path of digital economy to empower the resilience of China's industrial chain[J]. Qilu journal. 2023(5):129-138.
[12] OUYANG Rihui. Data as a factor of production promotes the deep integration of the digital economy and the real economy: Theoretical logic and analysis framework[J]. Economic Review Journal. 2024(2):67-78.
[13] El-Kassar A N, Singh S K. Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices[J]. Technological forecasting and social change, 2019, 144: 483-498.
[14] Shi Yutang, Wang Xiaodan. Can the establishment of a Big Data Comprehensive Pilot Area drive thedigital transformation of enterprises?--Empirical research based on quasi-natural experiments [J/OL]. Studies in Science of Science: 1-18[2024-06-22].
[15] JIANG Ting. Mediating Effects and Moderating Effects in Causal Inference[J]. China Industrial Economics, 2022, (05):100-120.
[16] HE Wei-da, WEN Jia-long, et al. Research on the lmpact of Digital Economy Development on China's Green Ecological Efficiency: Based on Two-way Fixed Effects Model[J]. On Economic Problems, 2022(01):1-8+30.
[17] Liu Chuanming, Chen Liang, Wei Xiaomin. Impact of Data Element Agglomeration on Scientific and Technological Innovation: A Quasi-natural Experiment Based on Big Data Comprehensive Pilot Areas[J]. Journal of Shanghai University of Finance and Economics, 2023, 25(05):107-121.
[18] Huang Qunhui, Yu Yongze, Zhang Songlin. Internet Development and Productivity Growth in Manufacturing Industry: Internal Mechanism and China Experiences[J]. China Industrial Economics, 2019(08):5-23.