Exploring the Impact of Geographic Factors on Urban Financial Innovation in China: Insights from the Banking, Insurance, and Securities Industries DOI
Lichao Lin, Ziling Huang, Pan Chen

et al.

Journal of the Knowledge Economy, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 20, 2024

Language: Английский

The impact of the new energy demonstration city construction on energy consumption intensity: Exploring the sustainable potential of China's firms DOI Creative Commons
Xiaoqian Liu, Chang’an Wang, Haitao Wu

et al.

Energy, Journal Year: 2023, Volume and Issue: 283, P. 128716 - 128716

Published: Aug. 12, 2023

As a comprehensive energy transition reform strategy, China's new demonstration city (NEDC) pilot policy aims to accelerate the transformation from fossil fuel-based system more sustainable system. Employing unique data on firms' consumption National Tax Survey Database, this paper investigates how NEDC affects utilization efficiency based difference-in-differences model. We observe that construction reduces intensity (ECI) in cities. After using instrumental variable approach deal with endogeneity problems, conclusions still hold. The mechanism analysis reveals decrease ECI is driven by offering tax incentives enterprises and prompting them pursue technological innovation. Heterogeneity shows negative impact prominent for SOEs high-energy-consuming enterprises; we also effect pronounced firms resource-based cities old-industrial-based Our results provide implications initiating policies other countries improve performance.

Language: Английский

Citations

47

Can the digital economy improve green total factor productivity? An empirical study based on Chinese urban data DOI Creative Commons
Yue Liu, Chunying Ma, Zhehao Huang

et al.

Mathematical Biosciences & Engineering, Journal Year: 2023, Volume and Issue: 20(4), P. 6866 - 6893

Published: Jan. 1, 2023

With the new generation of technological revolution, digital economy has progressively become a key driver global economic development. In this context, how to promote green growth and improve total factor productivity (GTFP) with help is an important issue that urgently needs empirical research. We adopted panel data 278 Chinese prefecture-level cities from 2011 2020 test whether improves GTFP through Gaussian Mixed Model (GMM) dynamic model. The moderating effect model been used explore impact mechanism perspectives industrial structure upgrade environmental regulation. addition, grouping regression was applied sample heterogeneous on GTFP. Based upon findings, work following conclusions. First, plays significant role in improving Second, positive ability enhance regulation, contrast, negative effect. Third, exerts impacts across regions, but not at city level.

Language: Английский

Citations

45

Does China's carbon inclusion policy promote household carbon emissions reduction? Theoretical mechanisms and empirical evidence DOI
Rui Li, Debin Fang, Jiajun Xu

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 132, P. 107462 - 107462

Published: March 16, 2024

Language: Английский

Citations

18

How can digital finance boost enterprises’ high-quality development?: evidence from China DOI
Mingrui Li, Jin Hu, Pengzhen Liu

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(38), P. 88876 - 88890

Published: July 13, 2023

Language: Английский

Citations

38

The impact of intellectual property rights protection on green innovation: A quasi-natural experiment based on the pilot policy of the Chinese intellectual property court DOI Creative Commons
Yue Liu, Li‐Ming Chen, Han Luo

et al.

Mathematical Biosciences & Engineering, Journal Year: 2024, Volume and Issue: 21(2), P. 2587 - 2607

Published: Jan. 1, 2024

<abstract> <p>In the context of high-quality economic development in China, it is important to promote green innovation by protecting intellectual property rights (IPR). Taking pilot policy courts Beijing, Shanghai, and Guangzhou for example a quasi-natural experiment, this article examines effect IPR protection on corporate its mechanisms using difference-in-differences model mediating based Chinese enterprise data from 2011 2019. The study found that first, promotes technological innovation; second, affects through financing constraints R&amp;D investment; is, increasing investment alleviating are two channels which innovation.</p> </abstract>

Language: Английский

Citations

12

Does the digital economy promote industrial green transformation? Evidence from spatial Durbin model DOI Creative Commons

Mingyue Du,

Siyu Ren

Journal of Information Economics, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 16, 2023

<p><big>The digital economy based on technology is an important force for high-quality economic growth and industrial transformation, has great potential value creation. Based the data of 30 provinces in China from 2007 to 2017, this paper uses entropy method calculate green transformation (IGT), empirically analyzes impact Digital IGT. The DE can significantly reduce IGT local neighboring areas after excluding influence macro system factors replacing spatial weight matrix. indirectly by accelerating accumulation human capital, innovation. a non-linear relationship. With further improvement environmental regulation, financial development intellectual property protection, role more obvious. To end, it necessary speed up construction infrastructure, build integrated layout &quot;digital infrastructure&quot;, give full play radiating economy, implement differentiated paths regional comparative advantages.</big></p>

Language: Английский

Citations

22

The corporate path to green innovation: does the digital economy matter? DOI Open Access

Yixiang Li,

Wang Fu-sheng

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(32), P. 79149 - 79160

Published: June 7, 2023

Language: Английский

Citations

22

Enterprise financialization and R&amp;D innovation: A case study of listed companies in China DOI Creative Commons
Yue Liu, Jinzhi Liu,

Lichang Zhang

et al.

Electronic Research Archive, Journal Year: 2023, Volume and Issue: 31(5), P. 2447 - 2471

Published: Jan. 1, 2023

<abstract> <p>In financial asset allocation, enterprises adjust their investment in R&amp;D innovation according to motives and the external environment. Based on a review of literature related enterprise financialization innovation, this paper proposes research hypotheses through theoretical analysis first; then, taking China's A-share non-financial listed companies from 2010 2019 as objects, explores relationship between with quantile panel data model; further, heterogeneous two under different business cycle phases is empirically analyzed. The following conclusions are drawn. First, there dynamic varying financing constraints. Second, stems motivation difference allocation. Third, significant differences at phases.</p> </abstract>

Language: Английский

Citations

20

Statistical monitoring of economic growth momentum transformation: empirical study of Chinese provinces DOI Creative Commons
Yixian Wen, Yanting Xu

AIMS Mathematics, Journal Year: 2023, Volume and Issue: 8(10), P. 24825 - 24847

Published: Jan. 1, 2023

<abstract> <p>Statistical monitoring of the level economic growth momentum transformation is basis for implementing quantitative policies transformation. Based on theoretical analysis and combined with process national operation, this paper designs an indicator system consisting four dimensions, supply demand, factors, consumption trade, using a comprehensive evaluation method to compile index. Using mainland China's provincial data from 2002 2021, we calculated each province extracted corresponding characteristics. The research found that economies in China exhibits stage-wise dimensional differentiation over time, it has category agglomeration tiered transfer characteristics space.</p> </abstract>

Language: Английский

Citations

18

How does digital finance affect industrial transformation? DOI Creative Commons

Rinat Zhanbayev,

Wenchao Bu

Journal of Information Economics, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 16, 2023

<p><big>With the continuous advancement of technological revolution and industrial transformation, digital finance supported by big data artificial intelligence has become an important engine for promoting carbon neutrality. We measured structure transformation index (ISU) 30 provinces in China, discussed spatial spillover effect transmission mechanism between ISU using Durbin model. The research results demonstrate that development can significantly improve local ISU. Interestingly, impact on adjacent areas a negative effect, which still exists under different weight matrix. Digital improving green technology innovation, upgrading structure, alleviating capital allocation. also found higher degree marketization environmental regulation increase positive influences This proves effectiveness energy efficiency, it encourages policymakers around world to rely promote ecological governance achieve high-quality economic development.</big></p>

Language: Английский

Citations

17