Digital economy development evaluation index system.

This dataset provides comprehensive insights into the digital transformation of various economic activities. It includes indicators covering a wide range of topics—from the contribution of the digital economy to GDP, to the extent of establishments’ use of online tools and platforms. Key measures include the percentage of establishments offering electronic services or using cloud computing, tracking how businesses receive and deliver orders electronically, and evaluating their presence and advertising activities on social media. Additionally, the dataset tracks after-sale support offered through company websites, highlighting the integration of digital services in customer care. By analyzing these indicators, policymakers, researchers, and industry leaders can assess the growth and impact of digital adoption on economic performance, enabling data-driven decisions for future development.Follow data.kapsarc.org for timely data to advance energy economics research.

According to the IMD World Digital Competitiveness Ranking, in 2023, Argentina obtained an overall score of 46.33 out of 100, ranking 61st out of a total of 64 countries. The study is published every year and assesses the competitiveness level of economies to adopt and explore digital technologies leading to transformation in business, government, and society in general.

Replication data for "Trade, Policy, and Economic Development in the Digital Economy" by Peter Herman and Sarah Oliver.

In recent years, digital economy has become the new engine of China's economic development, and its booming development has not only reshaped the economic growth model, but also provided a new impetus for high-quality economic development. As the core driving force of the digital economy, digital technology innovation is the key to its long-term and efficient development. However, despite the strong momentum of China's digital technology development, there is still a big gap between China and developed countries. Therefore, a comprehensive understanding and evaluation of China's digital technology level, as well as revealing its regional differences and driving factors, are of great significance to the scientific formulation and effective implementation of digital economy strategies, and the formation and development of new quality productivity. Based on the reality of the deep integration of digital technology and economic development, this paper adopts a combination of theoretical analysis and empirical research, aiming to comprehensively measure the current situation and spatial and temporal characteristics of China's digital technology level.

The G5 Benchmark is an index produced by ITU based on a total of 70 qualitative indicators grouped into four clusters: 1) National collaborative governance (focusing on the breadth and depth of cross-sector collaboration between the ICT regulator, peer regulators and policy-makers); 2) Policy design principles (focusing on the design of innovative frameworks and their coherence looking at issues such as regulatory experimentation, multistakeholder policy initiatives, ethical considerations); 3) Digital development toolbox (focusing on the tools needed by regulators to stimulate the development of a sustainable digital economy. It spans areas such as cybersecurity, data protection, emergency telecommunications and cross-sector infrastructure sharing. It also considers universal instruments geared towards the achievement of mid- to long-term social and economic goals – such as youth employment and sustainable consumption and production – where digital technologies are expected to play a central role); 4) Digital economic policy agenda (considering country policies and interventions for promoting the digital economy, entrepreneurship and investment. The areas covered range from an innovation framework to digital transformation to sector taxation and adherence to international and regional integration initiatives). The maximum score attainable is 100 and countries can be categorized into one of 4 levels of maturity: Limited (0 - 30), Transitioning (30 - 60), Advanced (60 - 80), Leading (80 -100). The data is collected every 2 years. Current waves available are for 2021 and 2023. For more details see: https://app.gen5.digital/benchmark/about

The gross merchandise value of the digital economy in Singapore saw a decline of ** percent while emerging markets in Southeast Asia experienced moderate growth in 2020 compared to 2019. It was forecast that the digital economy in Southeast Asia will significantly grow in the coming years.

The data introducing the overview of the digital sector expansion in Shanwei City in 2022-2024 comes from the Shanwei Daily and the Shanwei Municipal Government Work Report. The data to assess the digital industry maturity originates from the China City Statistical Yearbook. The data used to gauge attention to the digital economy is obtained from the Baidu Search Index. The data assessing the extent of the digital industry innovation and entrepreneurship is sourced from enterprise big data compiled by the Peking University Enterprise Big Data Research Center.

China's digital economy has been growing rapidly in recent years. In 2023, the economy reached a size of nearly ** trillion yuan, registering a nominal year-on-year growth of **** percent, much higher than the country's nominal GDP growth at *** percent. The digital economy accounted for around ** percent of China's GDP.

For most Poles, the greatest threat to the digital economy's development was cybercrime, identity, or money theft in 2020. Eighty-two percent of those surveyed also feared losing control over the use of data left online.

China has experienced rapid development in the digital economy. Using data from 30 provinces in China between 2011 and 2017, this paper constructs a two-way fixed effects model to study the effects and mechanisms of the digital economy development on social insurance funds revenue. An increase of one unit in digital economy development led to a 0.56% increase in basic endowment insurance funds revenue and a 0.33% increase in basic health insurance funds revenue. The digital economy increased the social insurance funds revenue by promoting employment and increasing income. Furthermore, the effects of digital economic development on social insurance funds revenue were heterogeneous for different levels of economic development and urbanization. The conclusions stood after robustness tests by changing the method of weighting the digital economy indicators and using instrumental variables. This paper confirmed the positive role of the development of the digital economy in increasing the revenue of social insurance funds from the perspective of quantitative research and explored the mechanisms in depth. In order to increase social insurance funds revenue, it is essential to accelerate the development of the digital economy, especially in regions with lower economic development and urbanization, and to address the needs of the technically unemployed and those engaged in flexible employment.

More and more companies in China have opted in digitalization solutions for business operations. With a nominal year-on-year growth of *** percent in its size in 2023, China's digital economy contributed about **** percent of China's GDP that year. This underscored the industry's role in the country's economic growth.

Abstract This manuscript acts solely as a brief and concise summary on the research carried out during the ÚNKP-17-3 New National Excellence Program of the Ministry of Human Capacities in a clear and transparent manuscript format. During my Scholarship the main focus of my research topic revolved around regional competitiveness and various aspects of digitalization, as the latter is a phenomenon which becomes more and more embedded in our everyday lives and is capable of changing society and the economy.

From day to day, we learn more about digitalization, and through research, we are able to chart and identify the challenges and core advantages that can come with digitalization on a broader scale in the short and long run as well.

What is certain that digitalization is a popular buzzword and a key driver of research, a main focus of professionals of several industries and policymakers alike. Our world is in a transitional phase as we are more and more connected globally with each other. People are able to connect with people and smart devices, and vica versa. We also experience a change in mapping consumer behavior as behavioral economics gain significance and also there is a change in how we handle and analyze enormous amounts of data in the world of Big Data (Zuti 2018a, Hollingworth–Barker 2017, Kovács 2017a, Kovács 2017b, Yoon 2017, Magruk 2016, Manyika et al. 2016, Özköse et al. 2015, Brynjolfsson–McAfee 2012).

As our social and economic environments undergo a transitional phase, the mindset related to the structure of society and economy needs to adapt as well to the new conditions (Zuti 2018a, Schwab 2017, Leonhard 2016).

Keywords: Regional competitiveness, digitalization, globalization, governments

JEL Classification: I23, O31, R11, C18, D80, I20, I25, M10, M20, O18, O20, O30, O32, O35, O40, P25, P48, R10, R50, R58

Digital economy measurement index system and its weight.

The largest share of government spending under the program "Digital Economy" was allocated to development of information infrastructure, on which ** billion Russian rubles were already spent as of May 2019, and additional *** billion Russian rubles were expected to be invested in the coming years. The second largest budget under the given program was devoted for digital technologies with over *** billion Russian rubles.

Accurate measurement is a prerequisite for understanding the digital economy and conducting follow-up research. This article follows the practices of BEA and OECD and calculates the added value of China's provincial digital economy. Based on the calculation, we examine how development of the digital economy affects income gap between urban and rural areas. The results show that China's digital economy is developing rapidly with huge gaps between provinces, and the digital infrastructure is the foundation of digital economy development. The development of the digital economy has a U-shape effect on the income gap between urban and rural areas. Further mechanistic analysis showed that the development of the digital economy promotes the transfer of rural labor and delay the U-shape turning point. It also promotes the development of agricultural modernization, increases the income of farmers and narrows the income gap between urban and rural areas. Moreover, it can narrow the urban-rural income gap in adjacent areas through spatial spillover effects. This paper provides policy recommendations for promoting inclusive development of the digital economy.

The Taiwan-US Digital Economy Forum (DEF) is a high-level policy exchange and cooperation platform between Taiwan and the United States. After each DEF meeting, the conference outcomes are made public through press releases.

The "Economic Construction Version Topographic Map Data File (with scales of 1:25,000, 1:50,000, and 1:100,000)" of this center was classified as category A data at the "Second meeting of the 105th Executive Yuan Open Data Consultation Group" and was revised and promulgated by Order No. 1051306149 issued by the Ministry of the Interior on July 26, 105, to amend and issue the "National Land Surveying and Mapping Results Data Fee Standards" Appendix 2 of Article 2, making the data available for free download and use. This data is the result of planning updates from 113 to 117.