A spatial effect study on digital economy affecting the green total factor productivity in the Yangtze River Economic Belt

Hu, Xinyun; Guo, Pengfei

doi:10.1007/s11356-022-22168-9

Cited by 32 publications

(22 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hao et al (2022) demonstrated that the digital economy improves the manufacturing GTFP of China. Hu and Guo (2022) confirmed that the digital economy positively impacts the GTFP of the Yangtze River Economic Belt in China. Ma and Zhu (2022) confirmed that the digital economy drives the high-quality green development of emerging economies by enhancing industrial restructuring and green technological innovation.…”

Section: Introductionmentioning

confidence: 68%

“…Drawing on existing studies, the control variables in this paper are as follows: (1) Actual utilization of foreign capital (Fdi) is defined as the ratio of actual utilization foreign capital of each city to GDP in that year. (2) Human capital (Hum) promotes the growth of GTFP (Hu and Guo, 2022), indicated by the proportion of the number of students enrolled in general colleges and universities to the total population at the end of the year (Wu et al, 2021;Hao et al, 2022;Hu et al, 2022;Ren et al, 2022). This may be because the enhancement of human capital through education improves energy efficiency and renewable energy consumption through skilled labor, knowledge sharing and technological progress to reduce energy consumption and pollution emissions (Bano et al, 2018).…”

Section: Control Variablesmentioning

confidence: 99%

“…Research on the digital economy and green development is in its infancy, requiring more abundant data and empirical proofs (Hao et al, 2022;Hu and Guo, 2022;Ma and Zhu, 2022). Green total factor productivity (GTFP), which comprehensively seeks the coordination of economic growth and eco-environmental protection, is widely employed to measure green development (Qiu et al, 2021;Hao et al, 2022;Ma and Zhu, 2022).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Digital economy and green development: Empirical evidence from China’s cities

Xiao

Liu

et al. 2023

Front. Environ. Sci.

View full text Add to dashboard Cite

With prominent environmental pollution and depleted resources, how to coordinate economic growth and eco-environmental protection to guide green development represented by green total factor productivity (GTFP) is an urgent issue. This study aims to empirically evaluate the direct effect, indirect effect, spatial spillover effect and non-linear effect of the digital economy on green development using the data of 284 prefecture-level cities in China. The empirical results indicate that: (1) the digital economy significantly improves GTFP, which is still valid after testing for robustness, including introducing instrumental variables, taking the “broadband China” pilot policy as a quasi-natural experiment, changing core explanatory variables and dependent variables, and changing the sample size; (2) the influence of the digital economy on GTFP is characterized by significant heterogeneity among resource dependence, geographical location, financial development level and openness level; (3) the mechanism analysis shows that the digital economy promotes GTFP by green technological innovation, industrial structure upgrading and energy conservation; (4) the spatial econometric models indicate that the digital economy significantly enhances GTFP of neighboring cities; (5) there is a non-linear relationship between the digital economy and GTFP using the threshold model. The findings could provide references for policymakers to promote urban green development.

show abstract

Section: Introductionmentioning

confidence: 68%

Section: Control Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Digital economy and green development: Empirical evidence from China’s cities

Xiao

Liu

et al. 2023

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Existing studies mainly focus on the GDPL in countries and areas such as OECD member countries (Mahlberg and Sahoo 2011), Group of Twenty (G20) countries (Chiu et al 2016), foreign countries and cities of China along the Belt and Road Initiative (Chen and Ge 2020), the YREB (Hu and Guo 2022), the Yellow River Basin (Chen et al 2022), and specific province in China (Li and Song 2016;Fu and Geng 2019;Su and Fan 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

A novel evaluation system of green development performance in the Three Gorges Reservoir Area and its spatial-temporal pattern

Chen

Liu²,

Wen

2023

Preprint

View full text Add to dashboard Cite

The Three Gorges Project, a world-class water conservancy project, was built in 2020 and set a new world record in annual electricity generation. It is undeniable that it has brought considerable ecological benefits together with economic and social benefits to the Three Gorges Reservoir Area (TGRA). It is full of practical significance to evaluate the green development performance level (GDPL) in the TGRA, which is a new indicator reflecting the comprehensive performance of the Three Gorges Project. This study focuses on evaluating the GDPL in the TGRA. First, we established a novel evaluation system for GDPL in the TGRA, and then the GDPL of 26 regions in the TGRA from 2000 to 2020 were calculated by using overall entropy method and expert scoring method to analyze the development performance of environmental system, economic system and social system and their coupling coordination degree. Also, the temporal and spatial evolution process, regional disparity, and spatial correlation of GDPL in the TGRA were examined through exploratory spatial data analysis (ESDA). The results show that: (1) the GDPL in the TGRA is in a medium level with a score of 0.3–0.4 and is growing stably. Ecological protection and development quality contribute greatly to the GDPL and the inter-regional differences between the head, the belly and the tail sections are narrowing. (2) The coupling degree between the environmental system, economic system and social system in the TGRA is as high as above 0.8, but the coupling coordination degree is only about 0.3. (3) The GDPL in TGRA varies with the region and is at a high level in the belly section, a medium level in the head and tail sections. The six regions in the belly section and one in the tail section, which are of a high level of GDPL, form a shape of the Big Dipper. (4) The global spatial correlation was not obvious in most years except the year of 2000, 2017, 2018 and 2019. The Lisa cluster map shows clusters only emerge in the head and the tail sections, the belly section, in which the GDPL is high, doesn’t show spatial agglomeration. These findings can not only provide references for promoting green development in the TGRA, but also enrich the study of the evaluation of GDPL.

show abstract

“…On the one hand, the digital economy improves the efficiency of resource allocation through digital technologies, and this more efficient way of production contributes to

[ 39 , 40 ]. It has been shown in the literature that the digital economy contributes to

mainly through green technological change [ 41 ]. At the same time, the digital economy itself relies on network infrastructure and information tools, such as smart machines, which break the limitations of time and space through information technology and internet mode, giving human beings the ability to process big data and continuously disseminate a large amount of information.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China’s Green Total Factor Productivity

Guo

Zhang

Liu

2022

IJERPH

View full text Add to dashboard Cite

In the context of the “double cycle,” promoting the development of a green economy is an important goal for China’s high-quality economic development in the digital age. This paper uses data from 30 provinces (municipalities and autonomous regions) in China during the 2006–2019 period using the Compiled Green Finance Index (GF) and Digital Economy Index (DE). The interrelationship between green finance, digital economy and green total factor productivity (GTFP) is empirically tested by conducting multiple regressions on panel data from 2006–2019 to perform an empirical analysis. Based on this, further analysis was performed with the threshold model. This study found that green finance and digital economy can contribute well to green total factor productivity, but the combination of the two does not have a good effect on green total factor productivity. Further study found that the green finance and digital economy’s contribution to green total factor productivity is mainly derived from technological progress. The regression results based on the panel threshold model show that the more underdeveloped the digital economy is in certain regions, the stronger the role of green finance in promoting efficiency improvement. Therefore, policymakers should formulate differentiated green financial policies according to the level of development of the digital economy and give play to the role of green finance and the digital economy in promoting green total factor productivity.

show abstract

A spatial effect study on digital economy affecting the green total factor productivity in the Yangtze River Economic Belt

Cited by 32 publications

References 55 publications

Digital economy and green development: Empirical evidence from China’s cities

Digital economy and green development: Empirical evidence from China’s cities

A novel evaluation system of green development performance in the Three Gorges Reservoir Area and its spatial-temporal pattern

Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China’s Green Total Factor Productivity

Contact Info

Product

Resources

About