Digital economy research: Thirty-five years insights of retrospective review

Purnomo, Agung; Susanti, Triana; Rosyidah, Elsa; Firdausi, Nuzula; Idhom, Mohammad

doi:10.1016/j.procs.2021.12.119

Cited by 44 publications

(14 citation statements)

References 22 publications

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“…This study involves mainly two perspectives related to the existing studies. One is the measurement issues (Miloševi c et al 2018;Goli nski 2019;Svitlana and Lolita 2019;Novikova and Strogonova 2020;Tian and Liu 2021;Purnomo et al 2022), and the second is the influencing factors (Atzema 2001;Miller 2004;Teece 2018;Chen et al 2022). In terms of measurement, in recent years, scholars have paid more attention to the measurement method of the digital industry development at the regional level.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of venture capital on the digital industry development: evidence from China

Li,

Zhu,

Mao

2024

Asian-Pac Economic Lit

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Promoting digital industry development is an important path to accelerating high‐quality economic development. Using the net growth rate of number of digital enterprises to measure the digital industry development and the data at the city level in China from 2005 to 2016 as a sample, this study analyses the mechanisms through which venture capital impacts on digital industry development. This study finds that the increase in venture capital will promote the digital industry development. The impact of the increase in venture capital on the digital industry development is mainly achieved by reducing the exit rate of digital enterprises. In inland areas and non‐city group, the increase in venture capital can significantly promote the digital industry development and the magnitude of the impact is greater.

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Section: Literature Reviewmentioning

confidence: 99%

The impact of venture capital on the digital industry development: evidence from China

Li,

Zhu,

Mao

2024

Asian-Pac Economic Lit

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“…As part of the digital transition to the development of the national economy, many normative acts have been adopted (Kwilinski et al, 2020;Rovňák et al, 2022) and comprehensive studies are being carried out (Vyshnevskyi et al, 2019;Orbik and Zozulakova, 2019;Vyshnevskyi et al, 2020;Albu and Albu, 2021;Kurniawan et al, 2022;Ma and Zhu, 2022;Ozturk and Ullah, 2022;Purnomo et al, 2022;Reza-Gharehbagh et al, 2022;Yang et al, 2022;Zhou et al, 2022;Orzeł and Wolniak, 2022;Brodny and Tutak, 2022;Mynenko and Lyulyov, 2022;Mańka-Szulik and Krawczyk, 2022; The situation is the same with the second trendthe transition to a green economy (European Commission, 2019;Kwilinski et al, 2019;Kuzior et al, 2019;Kuzior et al, 2021;Dźwigoł et al, 2021;Dzwigol et al, 2021;Astawa et al, 2021;Midor, 2022, Deja et al 2019. These questions are often examined simultaneously in many studies (Bonire and Gbenga-Ilori, 2021;Stoican and Chirieac, 2021;Li, Liu and Ni, 2021;Nham and Ha, 2022;Li and Wang, 2022;Zhang et al, 2022a;Zhang et al, 2022b).…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of the Impact of Digitalization on Greenhouse Gas Emissions on the Example of EU Member States

Kuzior

Vyshnevskyi

Трушкіна

2022

Production Engineering Archives

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Digitization and climate neutrality are among the development priorities of EU member states. This causes wide scientific and practical interest in the description of these processes, including their mutual influence. In this case, digitalization is a factor, and climate neutrality, largely characterized by green-house gas emissions, is the answer. Therefore, the purpose of the study is to assess the impact of digitalization on greenhouse gas emissions using the example of EU member states. The scientific novelty of the obtained results is the proposition of hypotheses, the proof of which will allow us to estimate the level of influence of the digitalization process on the volume of greenhouse gases per capita of the EU member states using economic and mathematical tools. It is justified that the direct impact of digitalization on the level of greenhouse gas emissions cannot be considered significant and statistically significant. The impact of digitalization on the processes of reducing greenhouse gas emissions with a delay of 1 to 4 years has not been identified. Considering the low degree of correlation-regression dependence between greenhouse gas emissions and the level of digitization, it can be assumed that either (1) other factors have a significant impact (list), or (2) the observation horizon is “captured” only by the part of the Kuznets curve, which corresponds to the descending part parabolas. Consequently, the conducted analysis shows that there are serious reasons to believe that digitalization is not the main (leading) factor in reducing greenhouse gas emissions. This necessitates further research with the inclusion of a wide range of variables (related to regulatory policy, tax policy, investment policy, the culture of consumption) in the model.

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“…(10) The relative proximity C i of the object i allows quantifying the distance between the evaluation value and two ideal solutions: (13) where D i + is the Euclidean distance between the evaluation value and the best solution; D i is the Euclidean distance between the evaluation value and the worst solution; C i is the relative closeness of the object i.…”

Section: At E R I a L S A N D M E T H O D Smentioning

confidence: 99%

“…The digital economy is a more advanced economic stage following the agricultural and industrial economies. It takes digital information and knowledge as the key production factors, modern information networks as the primary carrier, the integration and application of information and communication technology, the digital transformation of all aspects as important driving forces to promote a new economic form that is inclusive, innovative, efficient, and sustainable (Chen et al, 2020;Purnomo et al, 2022). The digital economy comprehensively utilises information technology such as the Internet, computer, space technology, and communication -the comprehensive integration of contemporary high-tech reflecting the most advanced productive forces in the 21 st century -and is conducive to the sustainable development of the urban economy and society (Gautier & Lamesh, 2021).…”

Section: Introductionmentioning

confidence: 99%

Key Drivers of Urban Digital Economy Sustainable Development: The China Case

Hongyue

Koblianska

Zhengchuan

et al. 2022

Scientific Horizons

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Digitalisation is a modern social and economic reality. The search for efficient pathways to move towards high-quality digital communities’ sustainable development constitutes the scope of current urban research worldwide. Given the need to move towards sustainable urban digitalisation, investigation of its critical influencing factors deserves special attention. However, quantitative empirical studies that avoid subjective judgement on the drivers of sustainable urban digitalisation are lacking. The purpose of this study is to fill this knowledge gap by outlining and quantifying the key factors affecting the sustainable development of the urban digital economy through entropy-TOPSIS modelling. The study takes China’s provinces and cities as an example due to China’s success in digital economy development. It is proposed to use the complex four-dimensional (scientific and technological innovation, economic growth, social development, information infrastructure) system involving 16 sub-indices to measure urban digital economy sustainability. Applying data from 31 Chinese provinces and cities for 2016-2019 and the entropy-TOPSIS model, the development of the technological innovations was found to be the most impacting factor on the urban digital economy sustainability path. The R&D staff engagement and expenditures, goods export and import, and e-commerce sales fuel the urban digital economy sustainability the most, while the number of students, public financial expenditures, and unemployment are the least significant. Results show that the urban digital economy is more a business-driven process than pushed by authorities. The gap between Chinese regions’ digital economy development was identified. This could be explained by the prevalence of conventional industries in several areas and the low level of their digitalisation and indicates the need to enhance interregional cooperation and partnership to promote sustainable development of the country under the digital economy paradigm. Despite China’s context, this research contributes to further science and policy development in this field globally, covering the role of talents, innovations, business R&D investments, interregional cooperation, and multiscale partnership in the promotion of urban digitalisation conducive to sustainability ideas

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Digital economy research: Thirty-five years insights of retrospective review

Cited by 44 publications

References 22 publications

The impact of venture capital on the digital industry development: evidence from China

The impact of venture capital on the digital industry development: evidence from China

Assessment of the Impact of Digitalization on Greenhouse Gas Emissions on the Example of EU Member States

Key Drivers of Urban Digital Economy Sustainable Development: The China Case

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