Can the Opening of Public Data Improve the Quality of Urban Employment?-- Evidence from China DOI Creative Commons
Yongjun Ma, Rui Huang

Heliyon, Год журнала: 2024, Номер 10(24), С. e40943 - e40943

Опубликована: Дек. 1, 2024

Язык: Английский

Does establishing big data bureaus make cities more technologically advanced: Evidence from China DOI

Yuqiong Lei,

Yu Yang, Zhanyu Liu

и другие.

Cities, Год журнала: 2025, Номер 159, С. 105741 - 105741

Опубликована: Янв. 28, 2025

Язык: Английский

Процитировано

1

Positive impacts of green finance on environmental protection investment: Evidence from green finance reform and innovations pilot zone DOI Creative Commons

Zhao Cheng,

Chengcheng Zhu

Heliyon, Год журнала: 2024, Номер 10(13), С. e33714 - e33714

Опубликована: Июнь 28, 2024

After long-term development, the global economic level has improved significantly, but environmental issues generated by early extensive development seriously threaten survival of human beings. China, in particular, urgently needs to promote sustainable through green finance policies. For this reason, paper regards 2017 eight pilot zones five provinces for reform and innovations (GFRIs) as a quasi-natural experiment, explores whether it can encourage investment protection heavily polluting enterprises using difference-in-differences-in-differences (DDD) model. The finds that: First, GFRIs bolster heavy enterprises. results remain consistent after several robustness checks, covering placebo test, PSM-DID test so on. Second, mechanism tests find that policy promotes alleviating financing constraints cutting costs. Third, heterogeneity analysis shows promotion effect on is more pronounced with higher percentages secondary industry GDP, large-scale enterprises, better ESG management. This demonstrates beneficial influence promoting transformation provides suggestions improvement such

Язык: Английский

Процитировано

4

Can big data policy drive urban carbon unlocking efficiency? A new approach based on double machine learning DOI
Neng Shen,

Guoping Zhang,

Jingwen Zhou

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 372, С. 123296 - 123296

Опубликована: Ноя. 22, 2024

Язык: Английский

Процитировано

4

Indicators of the Development of Infrastructure for the Big Data Economy in the Arctic Zone DOI

А.В. СМИРНОВА,

Elizabeth Moshurova,

Sofia Kalyazina

и другие.

Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 169 - 186

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Impact of the digital economy in transition to carbon neutrality in Chinese province DOI Creative Commons
Jintao Xu, Junqi Wang

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Апрель 17, 2025

Язык: Английский

Процитировано

0

Big data development and labor income share: Evidence from China's national big data comprehensive pilot zones DOI
Yuanbin Xu, Yuan Wei, Xin Zeng

и другие.

Economic Analysis and Policy, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Процитировано

3

Determinants of the Use of Big Data Technologies by Organizations in Russian Regions DOI Creative Commons
Julia Varlamova, Ekaterina Kadochnikova

Journal of Applied Economic Research, Год журнала: 2024, Номер 23(2), С. 422 - 451

Опубликована: Янв. 1, 2024

A scientific discussion is unfolding around data as a new factor of production that contributes to the transformation traditional sectors economy, industrial integration, and ensures interregional interaction. At same time, question relationship with such factors labor capital needs be answered. The study aims identify determinants organizations' use Big Data at regional level. main hypothesis suggests key big technologies are digital labor, socio-economic characteristics regions. In we proposed modified knowledge function which was tested on open from Federal State Statistics Service for 85 regions Russia in 2021-2022. Panel models were constructed using method least squares, generalized feasible squares. presents illustrative material made cartograms graphical methods. results distinguished spatial heterogeneity Russia's differentiation by volume labor. random effects confirmed positive impact Data. Among technologies, significant obtained share urban population, gross product innovation costs. identifies development economy Russian regions, considering geographic, technological, economic differentiation. theoretical significance lies proposal author's concept function, can used fundamental basis theory economics. practical validity value Data, help institutions government authorities find opportunities taking into account differentiation, improving methodology monitoring organizations, identifying influencing organizations.

Язык: Английский

Процитировано

2

Impact of urban-rural development and its industrial elements on regional economic growth: An analysis based on provincial panel data in China DOI Creative Commons
Yulin Zhao, Junke Li, Kai Liu

и другие.

Heliyon, Год журнала: 2024, Номер 10(16), С. e36221 - e36221

Опубликована: Авг. 1, 2024

Urban-rural development is an important driving force for regional economic growth. The existing researches have studied this issue from various perspectives, but they ignore the impact of big data on economy. In post pandemic era, data, as emerging production factor, has a significant indicative effect in promoting urban-rural recovery and fostering new business forms. Therefore, fully considering factor can help reveal its mechanism growth post-epidemic period. Based 30 provinces cities China, paper introduced basis traditional models constructed multi-dimensional indicator system. At same time, panel regression model was established by using unit root test, Hausman test precision test. Through benchmark heterogeneity analysis, factors discussed. results showed that passed all tests, error stable below 5 %. Transportation, technology, three major industries promote positive growth, with significance 1 industries' contribution to ranks third, second first order. addition, good ecological environment contributes benign during study A % increase forest cover would drive 0.215 But public's attention overall economy indirect manifested through physical industries.The indicated each element had different effects eastern, central western regions. results, proposed suggestions region. found Internet reflected did not directly affected channels such information flow resource allocation real industries. This provided support theoretical review, policy reference rational planning industrial layout China's

Язык: Английский

Процитировано

1

The impact of China’s big data pilot zone policy on public service quality: a mixed methods study DOI
Yuanyuan Xu,

Yao Men,

Long Yang

и другие.

Journal of Asian Public Policy, Год журнала: 2024, Номер unknown, С. 1 - 29

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1

Can data elements enhance urban innovation? Evidence from China DOI

Changbiao Zhong,

Chao Zhang

China Economic Review, Год журнала: 2024, Номер 88, С. 102307 - 102307

Опубликована: Ноя. 17, 2024

Язык: Английский

Процитировано

1