Impact on green finance and environmental regulation on carbon emissions: evidence from China

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Фев. 7, 2024

Introduction: Achieving peak carbon dioxide emissions and neutrality is an extensive profound systematic economic social change. Through market-oriented financial means, green finance has moved forward the effective governance port, curbed polluting investment promoted technological progress such as low-carbon, energy conservation environmental protection, which become a powerful starting point to support practice of low-carbon development. Methods: Based on panel data 30 provinces in China (except Tibet, Hongkong, Macau Taiwan Province) from 2004 2021, this paper calculates development level by using entropy weight method, basis, uses mathematical statistical model verify impact its sub-dimensions regulatory effect heterogeneous regulation tools. Results: The results show that significant inhibitory during investigation period, there time lag effect. After series robustness tests considering endogenous problems, conclusion still holds. From heterogeneity analysis, emission reduction credit most obvious, slightly different regions. Besides, Command-controlled tools public participation play positive role transmission path finance’s emissions, but market-driven cannot effectively enhance Discussion: research provide basis for government formulate flexible, accurate, reasonable appropriate policies, help strengthen exchange cooperation between regions reducing fixing carbon, actively steadily promote China’s goal “peak neutrality”.

Язык: Английский

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How does digital transformation promote total factor productivity? Strategy, technology, and application

Managerial and Decision Economics, Год журнала: 2024, Номер 45(5), С. 2739 - 2750

Опубликована: Март 7, 2024

Abstract To examine the productivity paradox in digital era, we explore impact of transformation (DT) on total factor (TFP). Based a large sample Chinese manufacturing firms, this study conducts machine learning approach to effects DT TFP at strategy, technology, and application levels. The results indicate that blockchain, cloud computing, artificial intelligence, application, big data, ascending order importance, positively affect TFP. Overall, enriches literature by verifying indexes helps companies make decisions when undertaking implementation.

Язык: Английский

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Does the pilot zone for green finance reform and innovation policy improve urban green total factor productivity? The role of digitization and technological innovation

Journal of Cleaner Production, Год журнала: 2024, Номер 471, С. 143365 - 143365

Опубликована: Авг. 8, 2024

Язык: Английский

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Environmental policy stringency and bank risks: Does green economy matter?

International Review of Financial Analysis, Год журнала: 2023, Номер 91, С. 103040 - 103040

Опубликована: Ноя. 20, 2023

Язык: Английский

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The impact of green finance policy on total factor productivity: Based on quasi-natural experiment evidence from China

Journal of Cleaner Production, Год журнала: 2023, Номер 425, С. 138873 - 138873

Опубликована: Сен. 20, 2023

Язык: Английский

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Investigating the influence of digital technology application on employee compensation

Technological Forecasting and Social Change, Год журнала: 2023, Номер 195, С. 122787 - 122787

Опубликована: Авг. 19, 2023

Язык: Английский

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The Evaluation Prediction System for Urban Advanced Manufacturing Development

Systems, Год журнала: 2023, Номер 11(8), С. 392 - 392

Опубликована: Авг. 1, 2023

With the rapid development of economy, it is important to reasonably evaluate status regional manufacturing industry. Given this, this article expands evaluation indicators urban advanced (UAM) from perspective push–pull-mooring (PPM). Then, uses a machine learning (ML) method predict results other cities through small amount sample data. The show that: (1) From current UAM in Guangdong Province (GD), Pearl River Delta region occupy dominant position. However, eastern, western, and mountainous regions have strong potential lead cities. Therefore, each has with high levels demonstrative role. (2) By comparison, was found that overall level GD not significantly different Yangtze Economic Belt. due significant differences their extreme values, proportion above average population relatively small. This indirectly proves GD’s only phased nature, but also (3) prediction effect perceptron model better than methods. Although neural network models performance models, they should overly rely on complex structure comparing results, reliability verified. Finally, according life cycle theory, we propose targeted path for UAM.

Язык: Английский

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Association between Regional Digitalization and High-Quality Economic Development

Sustainability, Год журнала: 2023, Номер 15(3), С. 1909 - 1909

Опубликована: Янв. 19, 2023

Regional digitization became an important driving force for high-quality economic development. Digital empowerment can effectively balance factor supply and demand promote This study selects a sample of Chinese cities from 2011 to 2018 investigate the association between regional digitalization further examines non-linear relationship development using market government governance as threshold variables. uses two-way fixed effects model with econometric analysis. The finds that contributes three major changes: quality, efficiency, power. Thresholds effective markets productive characterize impact on quality more marketization process or building government, region contribution this paper is reveal internal logic in advancing provide new theoretical evidence action plans strengthen construction efficient responsive government.

Язык: Английский

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Spatial spillover effect of the synergistic development of inward and outward foreign direct investment on ecological well-being performance in China

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(16), С. 46547 - 46561

Опубликована: Янв. 31, 2023

Язык: Английский

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Big data development and enterprise ESG performance: Empirical evidence from China

International Review of Economics & Finance, Год журнала: 2024, Номер 93, С. 742 - 755

Опубликована: Май 3, 2024

Язык: Английский

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