Development Of Digital Economy Research Articles

Research on quantitative evaluation of digital economy policy in China based on the PMC index model.

The development of digital economy is a strategic choice to grasp the revolution of new science and technology and the new opportunities of industrial reform. The development of digital economy depends on the good support of policy and theoretical system. Therefore, the quantitative evaluation of policy texts provides the basis of decision-making and the suggestions of path optimization for the formulation and improvement of digital economy policy of China. By selecting the text of digital economy policy issued by China government, the paper constructs a quantitative evaluation model of digital economy policy using the methods of content analysis and text mining. The empirical research results show that the overall design evaluation of the selected policy is relatively reasonable. Six policies were evaluated as excellent and two as acceptable. In view of the problems such as lack of predictive policy in the policy type, lack of specific policy in the policy timeliness, imbalance in the use of policy guarantee, and lack of comprehensive coverage in the policy objectives, the paper puts forward corresponding countermeasures and suggestions.

The Spatial Role and Influencing Mechanism of the Digital Economy in Empowering High-Quality Economic Development

Based on the data from 2012 to 2022, this paper comprehensively uses exploratory spatial data analysis, the panel threshold model, and the spatial Durbin model to explore the spatiotemporal evolution characteristics and mechanisms of digital economy and high-quality economic development. The results show that the center of gravity of China’s digital economy development has gradually concentrated in the southeast region, and the level of high-quality economic development has improved rapidly, gradually forming a pattern of radiation driving the development of the central and western regions with the Beijing–Tianjin–Hebei region, the Yangtze River Delta, and the Pearl River Delta. The digital economy can significantly improve the level of high-quality economic development, but this effect has a lag effect, and it can be extended to the fifth stage. There is a single threshold for high-quality economic development of the digital economy, and the two stages of its development can significantly promote the high-quality development of the economy, but the effect of the latter stage is weakened, showing the nonlinear characteristics of first strong and then weak. The digital economy has a notable positive spatial spillover impact, and its development dividend will raise this province’s and its bordering provinces’ levels of high-quality economic development.

Research on the Effect of Digital Economy Development on the Carbon Emission Intensity of Agriculture

The integration of the digital economy with the real economy has facilitated the application of a variety of digital methods in agriculture, resulting in significant reductions in its carbon intensity. This study employs a spatial Durbin model to analyze the spatiotemporal effects of digital economic growth on agricultural carbon emissions, using Chinese inter-provincial panel data spanning from 2011 to 2020. The empirical results indicate a substantial decline in agricultural carbon emissions associated with the evolution of the digital economy. Additionally, a discernible spatial spillover effect is identified. The suppressive impact of the digital economy on agricultural carbon emission intensity exhibits clear heterogeneity, with more pronounced effects observed in the main grain-producing regions and western regions. Based on these findings, recommendations are proposed to accelerate the development of digital economy infrastructure tailored to local conditions, promote the integration of digital technology and agriculture, stimulate innovation in agricultural science and technology, and advocate for the adoption of energy-efficient and environmentally sustainable agricultural practices.

Carbon emission effect of digital economy development: impact of digital economy development on China’s carbon dioxide emissions

Carbon emission effect of digital economy development: impact of digital economy development on China’s carbon dioxide emissions

Digital economy development boosts urban resilience—evidence from China

Focusing on the impact of the digital economy on urban resilience is beneficial to the sustainable development of cities. This paper empirically examines the impact of digital economic development on urban resilience and its mechanisms by measuring urban resilience and the level of urban digital economy with the entropy-weighted TOPSIS method using the data of 252 Chinese cities from 2011 to 2020. The findings show that digital economic development effectively promotes urban resilience at the 1% significance level, and this conclusion remains valid after a series of endogeneity and robustness tests. The channel mechanism suggests that the development of the digital economy can improve urban resilience by optimizing urban distributional effects and promoting the upgrading of urban industrial structures. This paper discusses the nonlinear relationship between the two using the MMQR model and the threshold model. The results show that urban resilience development level is in a higher quartile of cities, and digital economy development has a greater impact on urban resilience improvement. Meanwhile, there are two threshold values for the nonlinear impact of the digital economy on urban resilience, which are 0.026 and 0.082, respectively. Further, the spatial effect between the two is also verified. From the perspective of heterogeneity analysis, the digital economy development of high-class cities, key city clusters, and cities in eastern and western regions has a greater effect on urban resilience. This study can provide ideas and inspiration for countries to enhance urban resilience and promote sustainable urban development through the development of the digital economy.

Study on the spillover effect of digital economy development on CO2 emissions

To study the spillover effect of the digital economy development on carbon emissions, this study innovatively constructs different spatial weight matrices, based on 2011–2020 panel data covering 30 Chinese provinces, and it explores the direct spillovers, conducted spillovers, and spillovers from different spillover channels, such as human capital, service industry development, and information development of digital economy development on carbon emissions through the spatial Durbin model combined with a mediating effect model. The results show that there is significant spatial heterogeneity in digital economy development; in terms of regions, the eastern region has the highest average development level and the central region has the highest average annual growth rate. Digital economy development can directly suppress carbon emissions, and it can also indirectly suppress carbon emissions by driving technological innovation and optimizing the energy consumption structure, and there exists a spatial spillover effect. Under human capital, service industry development and information development matrices, the spatial spillover effect of digital economy development on carbon emissions is significantly negative. Regions with the same level of information development are more likely to exert a spatial spillover effect of digital economy development on carbon emissions.

Linear Programming-Based Fuzzy Alternative Ranking Order Method Accounting for Two-Step Normalization for Comprehensive Evaluation of Digital Economy Development in Provincial Regions

As digital technologies continue to reshape economic landscapes, the comprehensive evaluation of digital economy (DE) development in provincial regions becomes a critical endeavor. This article proposes a novel approach, integrating the linear programming method, fuzzy logic, and the alternative ranking order method accounting for two-step normalization (AROMAN), to assess the multifaceted facets of DE growth. The primary contribution of the AROMAN is the coupling of vector and linear normalization techniques in order to produce accurate data structures that are subsequently utilized in calculations. The proposed methodology accommodates the inherent uncertainties and complexities associated with the evaluation process, offering a robust framework for decision-makers. The linear programming aspect optimizes the weightings assigned to different evaluation criteria, ensuring a dynamic and context-specific assessment. By incorporating fuzzy logic, the model captures the vagueness and imprecision inherent in qualitative assessments, providing a more realistic representation of the DE’s multifaceted nature. The AROMAN further refines the ranking process, considering the interdependencies among the criteria and enhancing the accuracy of the evaluation. In order to ascertain the efficacy of the suggested methodology, a case study is undertaken pertaining to provincial areas, showcasing its implementation in the evaluation and a comparison of DE progress in various geographical settings. The outcomes illustrate the capacity of the model to produce perceptive and implementable insights for policymakers, thereby enabling them to make well-informed decisions and implement focused interventions that promote the expansion of the DE. Moreover, managerial implications, theoretical limitations, and a comparative analysis are also given of the proposed method.

The impact of digital economy development on agricultural carbon emissions——empirical research based on Chinese data

ABSTRACT This study examines the impact of digital economy development on carbon emissions in Chinese agriculture and its underlying mechanisms. Empirical analysis is conducted using panel data from 31 provinces in China for the years 2013 to 2021, employing a fixed-effects model.The study reveals that the development of the digital economy significantly reduces agricultural carbon emissions, with this effect showing a non-linear increasing trend. The impact of digital economy development on agricultural carbon emissions varies with climate types, and the reduction effect is more pronounced in regions with lower rainfall. Furthermore, the development of the digital economy lowers the intensity of agricultural carbon emissions by improving logistics efficiency and promoting industrial upgrading and transformation.This paper provides a theoretical basis and policy recommendations for the nation to reduce agricultural carbon emissions and promote green transformation. It suggests that the government should strengthen support and guidance for the development of the digital economy, actively promote the digitalization of agriculture, including the formulation of differentiated strategies for the development of digital agriculture, improvement of regulations and standards for agricultural product logistics, and enhancement of the application and innovation in smart agriculture.

The digital economy and job quality: Facilitator or inhibitor? --Evidence from micro-individuals

The improvement of workers' employment quality is an important manifestation of high-quality economic development. Based on 13,969 valid samples from the China Family Panel Studies (CFPS) data, the paper examines the impact of urban digital economy development level on individual employment quality from a micro perspective using a multilevel regression model. The study finds that the level of urban digital economy development significantly promotes individual employment quality. For every 1 unit increase in the level of urban digital economy development, the quality of individual employment will increase by 1.033 units. And air quality positively moderates the relationship between urban digital economy development level and individual employment quality, i.e., in cities with good air quality, the urban digital economy development level has a more important role in promoting the quality of individual employment. Further heterogeneity analysis reveals that the level of digital economy development in cities has a more pronounced effect on the employment quality of males, younger workers (40 years old and below), and party members. To be more specific, every increase of one unit in the development level of urban digital economy will increase the employment quality by 1.649, 0.787, and 0.897 units, respectively. The above findings are useful for the formulation of policies to achieve high quality of employment and the implementation of environmental management plans.

Digital economy and carbon emission: The coupling effects of the economy in Qinghai region of China

This study provides an in-depth analysis of the complex relationship between the digital economy and carbon emissions, fully drawing on essential principles of environmental economics, coupled economics, and sustainable development theory. Focusing on the Qinghai region in the western province of China, the study employs highly sophisticated methods such as multiple regression analysis and system dynamics modeling to reveal the multidimensional coupling effects between digital economy development and carbon emission dynamics. The study's results clearly show that in the Qinghai region of China, the booming growth of the digital economy is related to carbon emissions. Of particular interest, the study finds that this relationship exhibits a high degree of complexity and non-linearity and evolves gradually over time. Initially, the rapid expansion of the digital economy, accompanied by high energy consumption and increased carbon emissions, posed a significant challenge to environmental protection. However, a clear inverted “U"-shaped relationship has emerged as the digital economy evolves. This key inflection point signals a shift in the landscape as the digital economy begins to deliver some ecological benefits, potentially reducing the trend of carbon emissions in the future. The findings of this study go beyond simple causality and reveal a complex and evolving dynamic relationship between the digital economy and carbon emissions. Through such insights, this study provides a solid academic foundation and carefully constructs actionable policy recommendations to drive sustainable development. These insights apply to the Qinghai region of China and provide valuable references and lessons for other areas facing similar challenges.

The spatial and temporal situation of China's digital technology innovation and its influencing factors.

Digital technology innovation is the core driving force for the high-quality development of the digital economy, and in-depth exploration of the regional distribution pattern and formation mechanism of digital technology innovation in China is conducive to the rational layout and coordinated development of the inter-provincial digital economy. Based on the Reference Relationship Table of the Classification of Core Industries of Digital Economy and the International Patent Classification (2023), the patent authorization data of digital technology from 2012 to 2022 were obtained, and the spatiotemporal situation of China's digital technology innovation was analyzed by using ArcGIS software, Dagum's Gini coefficient, and Moran's I index, and the spatial Dubin panel model was used to explore the influencing factors of digital technology innovation. It is found that: (1) the scale and vitality of China's digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal-central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China's digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.

Influence and its spatial verification of digital economy development on carbon emission intensity from urban energy consumption

<p>In order to explore the influence of digital economy development on carbon emission intensity from urban energy consumption, digital economy development is incorporated into the reduction framework of carbon emission intensity from urban energy consumption in this paper. With carbon emission intensity from urban energy consumption in China taken as the research object, empirical tests and dynamic effect analyses were carried out on the factors influencing carbon emission intensity from urban energy consumption, using urban panel data for the period of 2012–2022. It is found that digital economy has a significant inhibitory effect on carbon emission intensity from urban energy consumption in China, with a coefficient of -0.348. Among the five selected control variables, PCG, UR, and IS show a positive correlation with carbon emission intensity from urban energy consumption, enhancing EI with corresponding influence coefficients of 0.472, 0.135, and 0.331 respectively; EGRI and TRL show an inverse correlation with EI, inhibiting the growth of EI with corresponding influence coefficients of -0.556 and -0.201, respectively. Policy suggestions were put forward to minimize EI on the basis of the test results combined with the actual situation of China's urban economic development.</p>

Analysis of International Disputes over Digital Services Tax and Exploration of China’s Approach

With the continuous emergence of emerging information technologies, the digital economy is developing rapidly around the world. The global operations of multinational digital enterprises no longer rely on physical presence. The effectiveness of permanent establishment rules based on the traditional real economy settings has been questioned by market countries, which actively participate in Market countries where digital business value is created do not receive corresponding taxation rights. Multinational digital companies take advantage of loopholes in digital platforms and current tax rules to actively carry out tax planning, resulting in digital companies’ global tax burden being much lower than that of traditional companies. Tax sources cannot be fairly and reasonably distributed in the places where value is created and profits are taxed, which harms the tax interests of market countries. Against the background of slow progress in the OECD global unified solution, as a temporary unilateral measure to address the challenges of the digital economy, some countries have taken the lead in imposing digital service taxes on specific digital businesses of digital enterprises. On the basis of discussing the relevant concepts and theories of digital service tax, this article discusses the relevant concepts and theories of digital service tax, and analyzes the international development of digital service tax and the positions of various countries around the world. Further analyze the impact of digital service tax collection from three aspects: national fiscal revenue, tax trade disputes and international tax order coordination, and analyze the impact of digital service tax on digital enterprises. Then the perspective is focused on my country, sorting out and summarizing my country's relevant digital economy tax policies, and analyzing the impact of digital service tax on my country in the near term and long term based on the development of my country's digital economy. Finally, based on the previous comparative analysis and impact analysis, my country's tax system for promoting the development of the digital economy has gradually improved and actively participated in the reshaping of international tax rules, and my country's response strategies under the digital service tax have been proposed. The different levels of digital economic development between China and countries that have levied digital service taxes will inevitably lead to disharmony in the international tax order. The study found that the fiscal revenue brought by digital service tax is limited and has a certain degree of distortion effect. It is necessary to actively participate in international cooperation and make China's voice heard before reaching a consensus on international tax rules. In the long term, we should focus on the connection between the two-pillar plan and the domestic tax system, strengthen tax information exchange, improve the domestic digital tax rule system, and promote the healthy and sustainable development of my country's digital economy.

The Nexus between Social Presence, Customer Experience and Purchase Intention in Social Commerce Platform Toward Sustainable Digital Economic Development

Social media has transformed the digital landscape from connecting people to connecting supply and demand. Many individuals as well as enterprises engage their customers using social media platforms. Transaction through social media could bring influence to digital economic transformation. Producers from various counties could optimize customers participation using their social media accounts. This research aims to explain about the connection among social presence, trust, customer experience and intention to purchase toward social commerce. This study applied quantitative method using partial least squares (PLS-SEM). The data was obtained from 312 respondents, who had conducted online transactions through social media platforms during the last three years. This study showed that social presence and customer experience obtained from selling services had a significant effect on consumer purchase intention. Whereas trust indicators had no effect on consumers’ intention to buy. In maintaining sustainable digital economic development, stakeholders should consider that digital engagement with the public could increase product acceptance and ensure that constructive feedback could be followed up rapidly.
 Keywords: social presence, trust, consumers experience, digital economic development

Analysis of Regional Competitiveness of China’s Cross-Border E-Commerce

Cross-border e-commerce is a pivotal component of the digital economy, serving as a crucial gauge for regional competitiveness in digital transformation and international trade. This study employs the Groundings-Enterprises-Markets (GEM) model, factor analysis, and the entropy weight method to evaluate the regional competitiveness of cross-border e-commerce in China. Analyzing data from 2018 to 2021 across 31 provinces, municipalities, and autonomous regions, the research assesses competitiveness through basic, enterprise, and market factors. Findings reveal annual improvement in China’s overall cross-border e-commerce competitiveness, yet notable regional disparities persist, with the east outpacing the west. Guangdong Province emerges as a key player and leader when the regions are classified into three tiers. Key factors influencing competitiveness include the digital economy development index, the number of cross-border e-commerce pilot zones, R&D expenditures, cross-border enterprise competitiveness, and core enterprise scale. The study concludes with policy recommendations, emphasizing digital reform, logistics efficiency enhancement, and the promotion of digital technologies.

The Impact of Digital Economy on Regional Innovation Capability

Based on China's inter provincial panel data from 2011 to 2019, this paper constructs a measurement index of the level of digital economy, and uses a fixed effect model to make a regression estimation of the impact of digital economy on regional innovation. Research shows that the development of digital economy has significantly promoted the improvement of regional innovation ability. Through the comparison of different groups of regression analysis, it is found that the impact of the development of digital economy on China's invention and innovation is less than that of utility model innovation, which shows that China's innovation still needs to pay attention not only to high-quality development, but also to promote high-quality development. Grasp the role of digital economy as a catalyst for innovative development, comprehensively promote the integration of digital economy and industrial transformation in various regions, narrow the differences in regional development levels, and accelerate the construction of an innovative country.

Can digital economy truly improve agricultural ecological transformation? New insights from China

AbstractAs the world’s biggest emitter of carbon, China’s agricultural carbon emissions account for 16 to 17%, with agriculture being the second largest contributor to carbon emissions. The development of the digital economy has brought profound changes to agricultural ecology. Therefore, we utilize China’s data experience to construct an agricultural ecological transformation system by setting up a Super-SBM model. Then, based on a dynamic panel threshold model, we explore the nonlinear impact mechanism of the digital economy on agricultural ecological transformation from a low-carbon innovation perspective. Our results reveal that the overall level of China’s agricultural ecological transformation is not high, but in the long-term posture, it represents a relatively steady upward trend, with a significant “wealth gap” between different regions. It is worth noting that there is a significant threshold effect of low-carbon innovation heterogeneity in the impact mechanism of digital economy on agricultural ecological transformation: under lower low-carbon innovation levels, the development of digital economy is unable to effectively promote agricultural ecological transformation. However, as the level of low-carbon technological innovation increases and exceeds the critical value, it stimulates the driving effect of digital economy to some extent, thereby promoting the improvement of agricultural ecological transformation, presenting a “U” shaped relationship. The paper has clarified the differential “new phenomena” in the process of promoting agricultural ecological transformation, providing new insights for achieving “carbon reduction and economic promotion” in developing countries.

Can the Digital Economy Reduce the Rural-Urban Income Gap?

Currently, the Chinese government is considering two major strategies, namely, developing the digital economy and achieving common prosperity, to address regional development imbalances. Using panel data from 276 Chinese cities spanning from 2011 to 2019, the article first employs the entropy method to measure China’s digital economy development, digital fusion application, and Internet accessibility. Subsequently, the paper evaluates the influence of the digital economy on regional development imbalances, focusing on the rural-urban income gap. The results show a significant reduction in the rural-urban income gap due to digital economy development. Notably, digital fusion applications have a greater impact on reducing the rural-urban income gap than Internet accessibility. In addition, a heterogeneity analysis reveals that the influence of the digital economy on the rural-urban income gap is only reflected in the eastern and western regions, with a more substantial effect observed in the western region. This study, to some extent, helps Chinese government officials distinguish the diverse impacts of different dimensions and regional variations in digital economies on the rural-urban income gap. Such insights can guide the government in strategically advancing digital economy development to accelerate the mitigation of regional disparities and achieve sustainable economic development.

Digital Trade Competitiveness and Impact Factors Analysis - Based on Digital Economy Development Level Perspective

The popularization of digital technology and the vigorous development of the global Internet have promoted the rapid growth of digital trade and become one of the engines of international trade. Digital trade, which includes e-commerce, cross-border digital services, and digital payment, has become an important part of international trade, providing enterprises with unlimited opportunities in the global market and consumers with more choices. This study examines China, the United States, the United Kingdom, and the European Union's (27) trade competitiveness and scope of digital commerce from 2015 to 2022. First, based on scale patterns, the globe has developed a digital economic pattern that consists of China, the European Union, and the United States. Second, the European Union and the United States also have greater advantages than China's digital economy from a structural standpoint. Third, according to the dynamic trend, the difference between the EU and the US in terms of the scale of the digital economy is steadily closing. Fourth, from the standpoint of the competition landscape, China and the EU hold the top positions in the trade of digital products and services, respectively.

Fiscal decentralization and the development of the digital economy: evidence from China

ABSTRACT A persistent literature gap exists in understanding the impact of fiscal decentralization on the digital economy. This study examines the correlation between fiscal decentralization and the development of digital economy drawing on the province data in China from 2013 to 2021. We find that (1): Local government fiscal decentralization actively nurtures the growth of the local digital economy (2). The principal mechanism propelling this phenomenon is the augmentation of financial decentralization facilitated by fiscal decentralization, thereby catalyzing the overall advancement of the digital economy. This study holds substantial significance in the global context of digital economy development.