Impacts of Technology Finance And Technological Innovation On Economic Growth of Jingjinji Region China DOI
Liu Hong, Ashfaque Ali Gilal, Nor Asmat Ismail

и другие.

Innovation economics frontiers, Год журнала: 2024, Номер unknown, С. 110 - 123

Опубликована: Окт. 20, 2024

This study investigates the impact of technology finance and technological innovation on economic growth in Beijing-Tianjin-Hebei (Jingjinji) region, while also exploring whether this relationship is nonlinear moderated by finance. Using panel data from 2000 to 2021, constructs indices for through principal component analysis (PCA) applies a threshold regression model. The findings reveal that has stronger positive effect when index below or equal 1.459. Beyond threshold, diminishes. Additionally, financial development openness positively influence growth, higher college enrollment ratios have negative effect. Comparing regional data, observes Beijing surpassed reducing innovation, whereas Tianjin Hebei remain threshold. recommends decreasing increasing it enhance region. It advises Chinese government develop comprehensive policies strengthen Jingjinji

Язык: Английский

Research on the impact of the integration of digital economy and real economy on enterprise green innovation DOI

Guanglin Sun,

Jiming Fang,

Jinning Li

и другие.

Technological Forecasting and Social Change, Год журнала: 2023, Номер 200, С. 123097 - 123097

Опубликована: Дек. 20, 2023

Язык: Английский

Процитировано

86

The Impacts of Digital Transformation on Labor Income Share: Evidence from China DOI
Xudong Li,

Gen‐Fu Feng,

Wai Yan Shum

и другие.

Emerging Markets Finance and Trade, Год журнала: 2023, Номер 60(6), С. 1265 - 1280

Опубликована: Ноя. 22, 2023

This paper uses the data of Chinese A-share listed companies to study whether enterprise digital transformation will affect labor income share. The research results show that greatly increasing share, and our inferences unchanged after a wide battery robustness tests. Further studies mechanism increase share is expand scale employment proportion highly skilled in total force. Subsample shows only raises larger higher competitive position enterprises. can provide policy references for developing economy improving development quality.

Язык: Английский

Процитировано

26

Digital and geographical mobility: correlating technological bilateral trade impact on sustainable trade development between China and East Asia DOI
Umer Shahzad, Changhong Miao, Said Muhammad

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Апрель 19, 2025

Язык: Английский

Процитировано

1

Providing an innovative model for social customer relationship management: Meta synthesis approach DOI Creative Commons
Reza Rostamzadeh,

Mohammad Bakhnoo,

Wadim Striełkowski

и другие.

Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(3), С. 100506 - 100506

Опубликована: Июнь 15, 2024

Язык: Английский

Процитировано

3

Synergistic policy effects of digitization in reducing air pollution and addressing climate change in China DOI
Weidong Chen,

Shing Tsung Hu,

Yong Liu

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 124730 - 124730

Опубликована: Март 17, 2025

Язык: Английский

Процитировано

0

Level of Integration of Real and Digital Economies: Effects and Mechanisms of Environmental Pollution Impacts DOI Open Access
Chun Fu, Wei Ouyang

Sustainability, Год журнала: 2025, Номер 17(9), С. 4108 - 4108

Опубликована: Май 1, 2025

As global economic development advances, the constraints of traditional growth paradigms, particularly escalating challenge environmental pollution, have become increasingly evident. In this context, deep integration digital and real economies (IDE) has emerged as a promising approach to sustain expansion while addressing concerns. Drawing on panel data from 30 Chinese provinces throughout 2008–2022, study employs entropy weight method coupling coordination degree model quantify levels IDE pollution. A two-way fixed-effects regression framework is then applied assess relationship between pollution uncover potential mediating mechanisms. The principal findings are follows: (1) level suppressive effect with exhibiting significant regional heterogeneity. (2) facilitates optimization industrial structure (IS) reduction in energy consumption through two intermediary channels, leading marked improvement quality. (3) exhibits threshold within mechanism, its influence displaying nonlinear characteristic increasing marginal effect. These results enrich interdisciplinary nexus studies economy, offering scientific basis for policymaking contributing China’s dual-carbon objectives sustainability transition. Future research may explore differentiated impacts convergence under diverse policy regimes identify strategies maximize benefits.

Язык: Английский

Процитировано

0

The impact of digital finance on the high-quality development of the real economy: an empirical evidence from Chinese cities DOI
Xingmin Yin,

Jia-Ning Lin,

Jianyue Ji

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Май 24, 2025

Язык: Английский

Процитировано

0

Testing the co-integration relationship between auto insurance premiums and risk compensation amount DOI Creative Commons
Khaled Mili, Ismail Bengana, Saidi Ouassaf

и другие.

Computers in Human Behavior Reports, Год журнала: 2024, Номер 13, С. 100377 - 100377

Опубликована: Янв. 25, 2024

This study investigates the influential economic factors impacting auto insurance premiums and explores potential for a long-term equilibrium relationship. Monthly data from 25 branches of National Insurance Company in regional agency Ouargla, Algeria, is analyzed using descriptive case methods. Through thorough trend analysis statistical model formulation, including co-integration tests, stability regression analyses, we assess relationship between variables impact independent on dependent variable. The results reveal statistically acceptable yet weak short-term connection, lacking evidence common integration. research provides insights into complex dynamics compensation relationships, suggesting nuanced connections guiding recommendations adaptable premium structures responsive strategies.

Язык: Английский

Процитировано

1

The spatial effect of integrated economy on carbon emissions in the era of big data: a case study of China DOI Creative Commons
Yan Wang, Qian Ke, Shuzhen Lei

и другие.

Frontiers in Ecology and Evolution, Год журнала: 2024, Номер 12

Опубликована: Апрель 24, 2024

The digital economy has the characteristics of resource conservation, which can solve China’s high carbon emissions problems. quickly integrate with real economy, forming an integrated economy. However, it is still unclear whether effectively reduce and achieve ‘dual goals’. Therefore, this study takes 30 provinces in China as research object, constructs integration index system through statistical data from 2011-2021, explores spatial effect impact on by using principal component analysis, coupled coordination model econometric model. results are follows. (1) From 2011 to 2021, comprehensive showed a trend increasing yearly (from 0.667 0.828), slow decrease 0.026 0.017). (2) Due infiltration economic development eastern western, distribution shows decreasing east west. may be related industrial layout heavy industry northern, light southern, showing low south north. (3) significantly (the coefficients influence, -0.146), reduction will more obvious if spillover effects taken into account (-0.305). (4) coast, middle reaches Yangtze River, Yellow River zones all increase at certain level significance (0.065, 0.148, 3.890). Northeast, South Coastal Southwest (-0.220, -0.092, -0.308). Northern Coast Northwest not significant (-0.022 0.095). (5) should tailor regional policies, such strengthening investment infrastructure Economic Zone fully leveraging Southern Coastal, Zones emissions.

Язык: Английский

Процитировано

1

The impact of digital economy on the financial risk ripple effect: evidence from China DOI Creative Commons
Zimei Huang, Zhenghui Li

AIMS Mathematics, Год журнала: 2024, Номер 9(4), С. 8920 - 8939

Опубликована: Янв. 1, 2024

<abstract> <p>The impact of the digital economy on ripple effect financial risks has attracted attention. Based data flow funds statements (financial accounts), spanning from 2011 to 2020, fund analysis method was used build a model measuring risk effect. Second, we built panel regression model, which studies risks. In addition, explored heterogeneous effects different dimensions Our findings revealed several key conclusions. First, total between and 2020 continued change, types have heterogeneity. negative Third, heterogeneity in Specifically, user index innovation The platform industry insignificant effect.</p> </abstract>

Язык: Английский

Процитировано

0