scholarly journals Study on the effect of digital economy on high-quality economic development in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257365
Author(s):  
Wei Zhang ◽  
Siqi Zhao ◽  
Xiaoyu Wan ◽  
Yuan Yao
Keyword(s):  
Economic Development ◽  
Technological Progress ◽  
Digital Economy ◽  
Mediating Effect ◽  
Eastern Region ◽  
Factor Productivity ◽  
High Quality ◽  
Digital Infrastructure ◽  
Digital Integration ◽  
Development Level

At present, the digital economy, which takes information technology and data as the key elements, is booming and has become an important force in promoting the economic growth of various countries. In order to explore the current dynamic trend of China’s digital economy development and the impact of the digital economy on the high-quality economic development, this paper measures the digital economic development index of 30 cities in China from the three dimensions of digital infrastructure, digital industry, and digital integration, uses panel data of 30 cities in China from 2015 to 2019 to construct an econometric model for empirical analysis, and verifies the mediating effect of technological progress between the digital economy and high-quality economic development. The results show that (1) The development level of China’s digital economy is increasing year by year, that the growth of digital infrastructure is obvious, and that the development of the digital industry is relatively slow. (2) Digital infrastructure, digital industry and digital integration all have significant positive effects on regional total factor productivity, and the influence coefficients are 0.2452, 0.0773 and 0.3458 respectively. (3) Regarding the transmission mechanism from the digital economy to the high-quality economic development, the study finds that the mediating effect of technological progress is 0.1527, of which the mediating effect of technological progress in the eastern, northeast, central and western regions is 1.70%, 9.25%, 28.89% and 21.22% respectively. (4) From the perspective of spatial distribution, the development level of the digital economy in the eastern region is much higher than that in other non-eastern regions, and the development of digital economy in the eastern region has a higher marginal contribution rate to the improvement of the total factor productivity. This study can provide a theoretical basis and practical support for the government to formulate policies for the development of the digital economy.

scholarly journals Evaluate on the Decoupling of Tourism Economic Development and Ecological-Environmental Stress in China

2021 ◽  
Vol 13 (4) ◽  
pp. 2149
Author(s):  
Xiaohua Qin ◽  
Xingming Li
Keyword(s):  
Economic Development ◽  
Environmental Stress ◽  
Ecological Environment ◽  
Stress Index ◽  
Eastern Region ◽  
High Quality ◽  
Development Level ◽  
Time Space ◽  
Environment Stress ◽  
The Relationship

Tourism economic development is increasingly dependent on resources and environment. Exploring the relationship between tourism economic development and ecological-environmental (eco-environmental) stress is of great significance to promote the high-quality growth of tourism and the sustainable and coordinated development of ecological environment. By constructing a tourism economic development index and an eco-environmental stress index, this study analyzes the temporal and spatial evolution of tourism economic development and eco-environmental stress from 2009 to 2018 in China. It uses a decoupling model to evaluate the relationship between tourism economic development and ecological-environmental stress, and analyzes the reasons for the changes of decoupling relationship. The results show that: (1) During the study period, the development of tourism economy and the eco-environmental stress present a certain time-space effect characteristics. The stress index of China’s tourism economic development and ecological environment showed a fluctuating trend of first decreasing and then increasing, with obvious spatial hierarchical differences and weak agglomeration characteristics, and prominent regional imbalances. The tourism economic development level in the eastern region was higher than that in the central and western regions, while the ecological environment stress in the central region was greater than that in the eastern and western regions. (2) The relationship between tourism economic development and ecological environmental stress of China’s provinces has experienced eight states: Expansive negative decoupling, strong negative decoupling, weak negative decoupling, recessive coupling, expansive coupling, strong decoupling, weak decoupling, and recessive decoupling. During the study period, the state of optimal strong decoupling tends to weaken. Under the constraints of local policy orientation and regional economic development level, the overall decoupling optimization could not be achieved spatially. The decoupling state was always in an unsustainable non-optimal stage. (3) The reasons for the differential changes in the decoupling index between tourism economic development and ecological environmental stress in Chinese provinces come from investment-driven, resource-driven, innovation-driven, and environmental compliance push. This study can provide practical reference for promoting the high-quality development of tourism and the sustainable development of ecological environment.

scholarly journals Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Min Li ◽  
Zamira Madina
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Eastern Region ◽  
Quality Development ◽  
High Quality ◽  
Enterprise Value ◽  
Development Level ◽  
The Impact

Artificial intelligence companies are different from traditional labor-intensive and capital-intensive companies in that their core competitiveness lies in technology, knowledge, and manpower. Enterprises show the characteristics of a high proportion of intangible assets, strong profitability, and rapid growth. At the same time, there are also the characteristics of high risk and high uncertainty. In addition to the existing value brought by existing profitability, corporate value should also consider the potential value brought by potential profitability. Enterprise value is affected by many factors such as profitability, growth ability, innovation ability, and external environment. Traditional valuation techniques are often utilised to value artificial intelligence businesses in the present market. Traditional valuation methods ignore the dynamics and uncertainties of artificial intelligence enterprise value evaluation, make static and single predictions of future earnings, ignore the value of enterprise management flexibility, and are unable to assess the intrinsic value of artificial intelligence businesses. Based on the projection pursuit method, this paper constructs a modern high-quality development enterprise high-quality development evaluation model, uses real-code accelerated genetic algorithm to optimize the projection objective function, and calculates the best projection direction vector and projection value. The collected sample data can be imported into the evaluation model to calculate the comprehensive evaluation value of the high-quality development of modern high-quality development enterprises and the weights of various indicators included. By comparing the size of the comprehensive evaluation value, each sample can be calculated Evaluation of the level of high-quality development. The results show that the high-quality development level of China’s overall economy is on the rise, but the level of development is still low, and there is a large gap between the development level of the eastern region and the central and western regions. Using the systematic generalized moment estimation method, empirically, we analyse the impact of artificial intelligence on the high-quality economic development. The results show that artificial intelligence at the national level and in the central and western regions will significantly promote high-quality economic development, while artificial intelligence in the eastern region has a significant inhibitory effect on high-quality economic development.

scholarly journals The Relationship between Environmental Regulation and Green Total Factor Productivity in China: An Empirical Study Based on the Panel Data of 177 Cities

2020 ◽  
Vol 17 (15) ◽  
pp. 5287 ◽  
Author(s):  
Mingliang Zhao ◽  
Fangyi Liu ◽  
Wei Sun ◽  
Xin Tao
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Inflection Point ◽  
Factor Productivity ◽  
Positive Effects ◽  
Development Level ◽  
The Mean ◽  
The Relationship

Promoting the coordinated development of industrialization and the environment is a goal pursued by all of the countries of the world. Strengthening environmental regulation (ER) and improving green total factor productivity (GTFP) are important means to achieving this goal. However, the relationship between ER and GTFP has been debated in the academic circles, which reflects the complexity of this issue. This paper empirically tested the relationship between ER and GTFP in China by using panel data and a systematic Gaussian Mixed Model (GMM) of 177 cities at the prefecture level. The research shows that the relationship between ER and GTFP is complex, which is reflected in the differences and nonlinearity between cities with different monitoring levels and different economic development levels. (1) The relationship between ER and GTFP is linear and non-linear in different urban groups. A positive linear relationship was found in the urban group with high economic development level, while a U-shaped nonlinear relationship was found in other urban groups. (2) There are differences in the inflection point value and the variable mean of ER in different urban groups, which have different promoting effects on GTFP. In key monitoring cities and low economic development level cities, the mean value of ER had not passed the inflection point, and ER was negatively correlated with GTFP. The mean values of ER variables in the whole sample, the non-key monitoring and the middle economic development level cities had all passed the inflection point, which gradually promoted the improvement of GTFP. (3) Among the control variables of the different city groups, science and technology input and the financial development level mainly had positive effects on GTFP, while foreign direct investment (FDI) and fixed asset investment variables mainly had negative effects.

scholarly journals Analysis on the Factors Influencing the International Technology Transfer Based on ISM Model

2016 ◽  
Vol 8 (3) ◽  
pp. 206 ◽  
Author(s):  
Jing Shouwu ◽  
Xia Yong ◽  
Li Zheng
Keyword(s):  
Economic Development ◽  
International Trade ◽  
Technology Transfer ◽  
Influencing Factors ◽  
Technological Progress ◽  
Industrial Structure ◽  
International Technology Transfer ◽  
Trade Patterns ◽  
Deep Roots ◽  
Development Level

<p>The technology is not only an indispensable element involved in international trade, but also an important factor affecting the comparative advantage and trade patterns in international trade. Based on predecessors’ research and practice experience, this dissertation selects 20 factors to study the influencing factors, such as international technology transfer, the construction of infrastructure, the complexity of technological progress, economic development level and so on. By using the ISM model, the paper studies the correlation and gradation of influencing factors of international technology transfer. The analysis indicates there are 4 direct factors on surface and. 6 factors on path: the applicability and negotiability of the technology, international technology transfer intermediary. 3 direct factors: the construction of infrastructure. 5 indirect factors: environment changes of international economy, the complexity of technological progress. 2 factors in deep roots: economic development level and changes of industrial structure. Based on this, the paper puts forward corresponding countermeasures and suggestions from five aspects. Meanwhile, it provides certain references to improve the international technology transfer level, promote using international technology transfer to improve technology level, and upgrade the industrial structure.</p>

scholarly journals Haze Pollution Levels, Spatial Spillover Influence, and Impacts of the Digital Economy: Empirical Evidence from China

2021 ◽  
Vol 13 (16) ◽  
pp. 9076
Author(s):  
Jie Zhou ◽  
Hanlin Lan ◽  
Cheng Zhao ◽  
Jianping Zhou
Keyword(s):  
Economic Development ◽  
Environmental Governance ◽  
Eastern China ◽  
Spillover Effects ◽  
Digital Economy ◽  
Mediating Effect ◽  
Energy Structure ◽  
Spatial Spillover ◽  
Pollution Levels ◽  
Haze Pollution

With the development of digital technologies such as the Internet and digital industries such as e-commerce, the digital economy has become a new form of economic and social development, which has brought forth a new perspective for environmental governance, energy conservation, and emission reduction. Based on data from 30 Chinese provinces from 2011 to 2018, this study applies the space and threshold models to empirically examine the digital economy’s influence on haze pollution and its spatial spillover. Furthermore, it investigates the spatial diffusion effect of regional digital economic development and haze pollution by constructing a spatial weight matrix. Subsequently, an instrumental variable robustness test is performed. Results indicate the following: (1) Haze pollution has spatial spillover effects and high emission aggregation characteristics, with haze pollution in neighbouring provinces significantly aggravating pollution levels in the focal province. (2) China’s digital economy has positively impacted haze pollution, with digital economic development having a significant effect (i.e., most prominent in eastern China) on reducing haze pollution. (3) Changing the energy structure and supporting innovation can restrain haze pollution, and the digital economy can reduce the path mechanism of haze pollution through the mediating effect of an advanced industrial structure. It shows a non-linear characteristic that the influence of haze reduction continues to weaken. Thus, policymakers should include the digital economy as a mechanism for ecologically sustainable development in haze pollution control.

scholarly journals Does Low-Carbon City Construction Improve Total Factor Productivity? Evidence from a Quasi-Natural Experiment in China

2021 ◽  
Vol 18 (22) ◽  
pp. 11974
Author(s):  
Hongfeng Zhang ◽  
Lu Huang ◽  
Yan Zhu ◽  
Hongyun Si ◽  
Xu He
Keyword(s):  
Economic Development ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Technical Progress ◽  
Scale Efficiency ◽  
Eastern Region ◽  
Low Carbon ◽  
Factor Productivity ◽  
City Construction ◽  
Low Carbon City

Low-carbon city construction (LCC) is an important strategy for countries desiring to improve environmental quality, realize cleaner production, and achieve sustainable development. Low-carbon cities have attracted widespread attention for their attempts to coordinate the relationship between environmental protection and economic development. Using the panel data from 2006 to 2017 of prefecture-level cities in China, this study applied the difference-in-differences (DID) method to analyze the effects of LCC on the total factor productivity (TFP) of the cities and its possible transmission mechanism. The results show significantly positive effects on TFP, but the effects on each component of TFP are different. Although the LCC has promoted technical progress and scale efficiency, it has inhibited technical efficiency. The accuracy of the results has been confirmed by several robustness tests. Mechanism analysis showed that the pilot policy of low-carbon cities has promoted technical progress and scale efficiency by technological innovation and the upgrading of industrial structure, but resource mismatches among enterprises have been the main reason for reduced technical efficiency. Regional heterogeneity analysis showed that the effects on TFP in the eastern region have been more significant than in the central and western regions. In the eastern region, they have promoted technical progress, while in the central and western regions, they have promoted technical progress and scale efficiency but hindered technical efficiency. This paper presents our findings for the effects of LCC on economic development and provides insightful policy implications for the improvement of technical efficiency in low-carbon cities.

scholarly journals E-Government Development & Digital Economy: Relationship

2020 ◽  
Vol 6 (1) ◽  
pp. 39-54
Author(s):  
Mohammad Gias Uddin ◽  
Mohin Uddin
Keyword(s):  
Economic System ◽  
Financial System ◽  
Demographic Variables ◽  
Digital Economy ◽  
High Quality ◽  
Digital Infrastructure ◽  
Sample Information ◽  
The Look ◽  
The Impact ◽  
Government Development

The main objective of this examine is to explore the elements that influencing the digital economic system and E-government courting. Commonly, the examiner is to analyze the impact of demographic variables are gender and schooling stage; as well as digital infrastructure, virtual readiness, virtual content material, and offerings on the digital economy in Malaysia. A minimum overall of 384 questionnaires could be disbursed to the goal respondents to collect the sample information. Four hypotheses helping to the developed to survey the particular targets of the examiner. Demographic variables expected to have a high-quality enormous relationship with the virtual financial system. Last however now not least, the findings of the look at shall offer statistics to E-government to understand what factors will affect the virtual economic system. Except, it shall additionally provide useful information for E-government to higher fit their people’s needs. The elements decided to boom high-quality dating among E-government and virtual financial system in Malaysia.

scholarly journals Environmental Regulations, the Industrial Structure, and High-Quality Regional Economic Development: Evidence from China

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 517 ◽  
Author(s):  
Lingming Chen ◽  
Wenzhong Ye ◽  
Congjia Huo ◽  
Kieran James
Keyword(s):  
Economic Development ◽  
Industrial Structure ◽  
Environmental Regulations ◽  
Regional Economic Development ◽  
National Average ◽  
Mediating Effect ◽  
High Quality ◽  
Regional Economic ◽  
Regulatory Policies

Environmental regulation is an important means of restraining enterprises and protecting the environment. Rationalization of environmental regulatory policies can promote high-quality regional economic development. The optimization and upgrading of the industrial structure has an intermediary effect on the impact of environmental regulations on the high-quality development of the regional economy. After collating and analyzing previous research, this article proposes to classify 30 Chinese provinces into regions with higher than the national average HDI (human development index) and lower than the national average HDI based on the average HDI of Chinese provinces. We explore the mediating effect of industrial structure on environmental regulation and high-quality regional economic development. The model passed the full-sample robustness test and the robustness test with GDP as the replacement variable. The empirical results show that environmental regulations of different intensities have different effects on the quality of regional economic development. The effect of environmental regulations on development quality is mainly mediated through the transformation and upgrading of the industrial structure. Enterprises need reasonable incentives from environmental regulations to transform and upgrade. The mediating effect of the industrial structure on environmental regulations is greater in regions with below-average HDI values than in regions with above-average HDI values, which shows that the industrial structure is the mechanism underlying the effect of environmental regulations on the quality of regional economic development. This result proves that adjusting environmental regulatory policies can effectively promote the upgrading of industrial structure, thereby promoting high-quality regional economic development. Based on this, the article puts forward several policy recommendations.

scholarly journals How Does Technological Innovation Mediate the Relationship between Environmental Regulation and High-Quality Economic Development? Empirical Evidence from China

2021 ◽  
Vol 13 (4) ◽  
pp. 2231
Author(s):  
Die Li ◽  
Sumin Hu
Keyword(s):  
Economic Development ◽  
Environmental Regulation ◽  
Technological Innovation ◽  
Mediating Effect ◽  
Mediation Effect ◽  
High Tech ◽  
High Quality ◽  
Measure Model ◽  
The Impact

Technological innovation is considered to be an effective way to promote the quality of economic development and green transition under environmental policies, while the specific mechanism of this process is still unclear. Thus, the purpose of this paper was to examine how technological innovation mediates the relation between environmental regulation and high-quality economic development. Based on the panel data of 34 industries in China from 2007 to 2015, this paper firstly calculated the green total factor productivity (GTFP) as a proxy variable for the quality of economic development through the super-slack-based measure model, and then analyzed the impact of environmental regulation and technical innovation on the GTFP by making use of the mediation effect model. The results showed that environmental-related policy directly affected the GTFP while technological innovation indirectly moderated this process, where the moderate impact of technological innovation was industrial heterogeneous. Specifically, the relation between environmental regulation and GTFP was positively and partially moderated by technological innovation in clean industries and high-tech industries, while positively but completely moderated by technological innovation in low-and medium-tech industries. Moreover, the mediating effect of technological innovation in pollution-intensive industries was positive but insignificant.

scholarly journals Research on High-Quality Development Efficiency and Total Factor Productivity of Regional Economies in China

2021 ◽  
Vol 13 (15) ◽  
pp. 8287
Author(s):  
Xiangyu Hua ◽  
Haiping Lv ◽  
Xiangrong Jin
Keyword(s):  
Total Factor Productivity ◽  
Influencing Factors ◽  
Distance Functions ◽  
Spatial Data Analysis ◽  
Significant Feature ◽  
Eastern Region ◽  
Quality Development ◽  
Regional Economies ◽  
Factor Productivity ◽  
High Quality

Different from the developmental mode of western developed countries, China’s economy has changed from a stage of high-speed growth to a stage of high-quality development, where the people’s growing needs for better lives can be met, embodying this new concept of development. The aim of our study is to evaluate the high-quality development efficiency and total factor productivity (TFP) of regional economies in China, and to explore the characteristics of spatial-temporal pattern evolution and their influencing factors. By using the slacks-based measure of directional distance functions (SBM-DDF) model, based on the undesirable output perspective, the high-quality development efficiency and TFP of regional economies in China, from 2000 to 2018, are evaluated in this paper. The exploratory spatial data analysis (ESDA) and Tobit models are then used to identify the spatial-temporal correlation patterns and influencing factors of high-quality development efficiency and TFP. The key results show the following: (1) from 2001 to 2018, the greatest high-quality development efficiency and TFP belonged to China’s eastern region and the least to its central region. (2) U and inverted-U trend lines show that high-quality development efficiency has significant regional difference in the east–west direction, presenting a significant feature of spatial imbalance. (3) Government, urbanization rate, and marketization level play a positive role in their impact of TFP, whereas financial development, infrastructure, foreign direct investment, and capital labor ratio play a negative one.

Sign in / Sign up

Export Citation Format

Share Document