Empirical Study on the Influence of the Level of Digital Economy on the Development of Green Economy
Taking Anhui Province as an Example
DOI:
https://doi.org/10.54691/atezc868Keywords:
Super-efficient SBM model, DF GMM model, digital economy, green economy.Abstract
Based on the data of Anhui Province from 2011-2018, the article uses entropy value method and super-efficient SBM model to measure the digital economy level and green economy efficiency of each province in the calendar year respectively and analyze them. The DF GMM model is constructed to conduct empirical research on the impact of digital economy level on green economy efficiency. The results of the study show that the development of digital economy in present Anhui Province can effectively improve the efficiency of green economy. Accordingly, policy suggestions are put forward to strengthen the digital economy to empower the green economy, control the increment of economic growth, control the size of the city, and adhere to the strategy of opening up to the outside world.
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References
Yu Jingyuan. Awakening the "sleeping" green resources[J]. Xiaokang.2020,(31):30-32.
Zhang Peng. The nature of digital economy and its development logic[J]. Economist.2019, (02): 25-33.
Zhang Yuchuan, Qin Shanshan. An empirical study on the digital economy to promote regional economic growth - based on 2010-2019 data of the Yangtze River Economic Belt[J]. Logistics Technology.2021, 40(01):56-62.
Li Linhan, Tian Weimin. Digital Financial Development, Industrial Structure Transformation and Regional Economic Growth - An Empirical Analysis Based on Spatial Durbin Model[J]. Financial Theory and Practice.2021, (02): 8-16.
Zhou Ying, Qu Jiaxing, Gu Juntao et al. Research on regional digital economy index system based on hierarchical analysis--Taking Heilongjiang Province as an example[J]. Industrial Science and Technology Innovation, 2019, 1(20):7-9.
XIA Jing, LIU Fuyou, WANG Xingping, GU Hui. A preliminary study on the path of economic green development in the late-developed areas of the Yangtze River Economic Belt--Taking Anchi Copper City Cluster as an example[J]. Modern Urban Research.2017(04):2-8+44.
Gong Hengqing. Research on the impact of green finance on regional economic ecologization[J]. Market Research, 2018, (04): 32-35.
Liu Jin. Empirical study on the impact of digitization level and resource dependence on green total factor productivity[J]. China economic and trade guide (in Chinese).2020, (02): 121-123.
L.P. Rai., K. Lal. Indicators of the information revolution [J]. Technology in Society. 2000, (22): 221 - 235.
Xu Sheng. Research on Global Innovative Green Development Efficiency Measurement Based on Dea Super Efficiency Model[J]. Academic Journal of Business & Management. 2020, 2(5): 121-135.
Su Shuai, Zhang Fan. Modeling the role of environmental regulations in regional green economy efficiency of China: Empirical evidence from super efficiency DEA-Tobit model[J]. Journal of Environmental Management. 2020, (5): 261.
Ciocoiu, Carmen Nadia. INTEGRATING DIGITAL ECONOMY AND GREEN ECONOMY OPPORTUNITIES FOR SUSTAINABLE DEVELOPMENT[J]. Theoretical and Empirical Researches in Urban Management. 2011, 6(1): 33-43.
TONE K. Dealing with undesirable outputs in DEA: a slacks-based measure (SBM) Approach [R].Tokyo: GRIPS Research Report Series I, 2003. European Journal of Operational Research, 2001,130(3):498-509.
JIANG Wenwen, WU Zhuan, HU An. Strategic thinking on high-quality development of digital economy - based on the Yangtze River Delta region[J].Modern Management Science. 2019, (12): 30-32.
HONG Xingjian. Digital economy: connotation, accounting and evaluation[J]. China Statistics.2019, (08): 49-52.
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