Transitioning to low-carbon agriculture: the non-linear role of digital inclusive finance in China’s agricultural carbon emissions

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 24, 2024

Abstract Promoting low-carbon agricultural development is essential for achieving carbon neutrality and peak emission goals. The emergence of digital inclusive finance has opened a new pathway to reduce emissions. This study uses data from various provinces in China 2011 2021 explore the impact on emissions its mechanism action. results show that during period, first increased then decreased, with gap between eastern western regions narrowing, while southern northern widened. Digital an inverted “U-shaped” nonlinear emissions, depth use degree digitization being key factors. Agricultural only begin be effectively suppressed when scale exceeds value. Additionally, green cooperatives weakens reduction effect finance, indicating decoupling their developments, accumulation human capital enhances effect. Based this, government advised continue promoting strategies inclusivity rural areas. Financial institutions should develop financial products suitable cooperatives, also provide timely feedback communication achieve coordinated two. Furthermore, education training farmers strengthened encourage them learn adopt technologies.

Language: Английский

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Innovative financial solutions for sustainable investments using artificial intelligence-based hybrid fuzzy decision-making approach in carbon capture technologies

Financial Innovation, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 3, 2025

Abstract High costs, technical difficulties, and policy uncertainties are the main challenges in carbon capture technology investments. Therefore, innovative financial products required to develop projects that overcome these difficulties. Some issues must be considered when developing products. An important problem this process is features cannot possibly exist together new product, because each of incurs some costs. identifying most necessary. Accordingly, study develops a product increase effectiveness investments technologies. For purpose, novel artificial intelligence (AI)-based fuzzy decision-making model constructed. First, weights experts were calculated by considering AI methodology. Second, factors affecting investment technologies weighted using spherical DEMATEL. Finally, for ranked ARAS method. This study’s contribution its creation integrating methodology with theory. In process, an approach. It concluded cost-effectiveness prioritized development Technological competence another aspect should process. However, include risk management flexible financing.

Language: Английский

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Digital Inclusive Finance as a Catalyst for Rural Revitalization: An Empirical Analysis from the County Development Perspective in Hubei Province

Journal of the Knowledge Economy, Journal Year: 2023, Volume and Issue: 15(3), P. 11548 - 11580

Published: Oct. 23, 2023

Language: Английский

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Can Digital Finance Improve China’s Agricultural Green Total Factor Productivity?

Agriculture, Journal Year: 2023, Volume and Issue: 13(7), P. 1429 - 1429

Published: July 19, 2023

The improvement of agricultural green total factor productivity (AGTFP) is crucial to achieve sustainable development. By matching China’s provincial digital financial inclusion index and production data from 2011 2020, on the basis using DEA–Malmquist measure AGTFP, fixed effect model Mesomeric are used empirically test impact mechanism development AGTFP. Our research found that China experienced consistent in which was largely attributed advancements technology. Interestingly, AGTFP non-major grain-producing areas surpassed major grain producing areas. Additionally, finance has proven be an effective tool boosting coverage subdimension, depth use subdimension digitization all significantly promote Digital can efficiency progress technology, shows promotes a “dual wheel” driven manner. However, technology more pronounced than demonstrates potential stimulate two key ways. First, it improve mismatch resources; second, innovation. Therefore, necessary further rapid finance, optimize rational allocation resources, formulate tailored strategies agriculture.

Language: Английский

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Impact of digital inclusive finance on agricultural total factor productivity in Zhejiang Province from the perspective of integrated development of rural industries

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(4), P. e0298034 - e0298034

Published: April 5, 2024

Improving agricultural total factor productivity is crucial for comprehensive rural revitalization and building a strong nation. Digital inclusive finance amalgamates the benefits of digital technology finance, mitigating financial exclusion in production. It fosters modernization agriculture by bolstering farmers’ innovation, entrepreneurship, advancements. Consequently, it significantly enhances overall productivity. This study uses panel data from 2011 to 2020 empirically investigate impact mechanism on Zhejiang Province, China. The research results show that which holds true even after series robustness tests. Analysis reveals integrated development industries plays mediating role empowering through finance. Furthermore, heterogeneity analysis indicates positive effect more pronounced northeastern region Province areas ranked second tier development. Therefore, we recommend comprehensively enhancing areas, fostering ecosystem integrates industries, promoting coordinated different regions, improving

Language: Английский

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Research on the Impact of Digital Green Finance on Agricultural Green Total Factor Productivity: Evidence from China

Agriculture, Journal Year: 2024, Volume and Issue: 14(7), P. 1151 - 1151

Published: July 16, 2024

Green development has become one of the important concepts leading China’s economic developments, and it is extremely meaningful to boost continuous growth agricultural green total factor productivity (AGTFP) achieve construction a powerful country. Using provincial data from 2011 2020, this manuscript calculates AGTFP through SBM–GML model, digital finance (DGF) comprehensive indicator system. The double fixed-effect quantile model spatial Durbin are used for in-depth study benchmark influence, nonlinear effect spillover DGF on AGTFP. main research conclusions article as follows: (1) significantly conducive improvement Along with AGTFP, promoting gradually increased. (2) In terms impact path, can properly promote while role degree digitization not very significant. Meanwhile, channel technology efficiency. (3) varies spatially, more effective in regions higher well-developed modernization. (4) There DGF’s which means that simultaneously local neighboring regions.

Language: Английский

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An Investigation into the Connection between Green Total Factor Productivity in Agriculture and High-Quality Agricultural Progress: Based on the Mechanism of Regional Financial Development

Finance research letters, Journal Year: 2025, Volume and Issue: unknown, P. 107324 - 107324

Published: March 1, 2025

Language: Английский

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The impact of digital inclusive finance on alternate irrigation technology innovation: From the perspective of the 'catfish effect' in financial markets

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 312, P. 109423 - 109423

Published: March 30, 2025

Language: Английский

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Prediction of agricultural carbon emissions in China based on a GA-ELM model

Frontiers in Energy Research, Journal Year: 2023, Volume and Issue: 11

Published: Oct. 13, 2023

Introduction: Strengthening the early warning of greenhouse gas emissions from agriculture is an important way to achieve Goal 13 Sustainable Development Goals. Agricultural carbon are part gases, and accelerating development green low-carbon great significance for China high-quality economic goal “carbon neutrality in peak dioxide emissions”. Methods: By measuring total agricultural seven administrative regions 2000 2021, paper analyzes influencing factors by using STIRPAT environmental pressure model, on this basis, predicts trend under different scenarios extreme learning machine model optimized genetic algorithm. Results: The results showed that improved algorithm can overcome shortcoming easy fall into local optimal solution, thus obtaining higher prediction accuracy. At same time, a continuous fluctuation trend, due constraints level, industrial structure, human capital, spatial differentiation. It worth noting that, context development, all have potential “peak emissions” 2030, with only slight difference at peak. Discussion: research provide evidence government formulate flexible, accurate, reasonable appropriate reduction policies, which helpful strengthen exchanges cooperation regional rural fixation, actively steadily promote China's neutrality”.

Language: Английский

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Regional disparities, dynamic evolution, and spatial spillover effects of urban-rural carbon emission inequality in China

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 12

Published: March 1, 2024

Objective This study recalculates the carbon emissions of urban and rural residents in China, analyzing dynamic evolution trends emissions. It explores spatial spillover effects centered around inequality between areas. Methods The calculates each province based on IPCC method. Non-parametric kernel density estimation is employed to depict characteristics national, urban, Theil Index used measure disparities major strategic regions, further applying evaluate across provinces. helps identify driving factors affecting their spatio-temporal effects. Finding Carbon from China present a divergent development pattern. Urban have increased, with inter-provincial widening; tend stabilize, slight growth gaps. overall various regions experiences three-phase journey rise, decline, stabilization. first increases then decreases, while gradually lessens, showing clear regional urban-rural differences. Market government significantly impact digital economy aids reducing generates significant relationship economic level emission U-shaped. Industrial structure optimization can reduce inequality, but its effect not significant. Government intervention has limited effects, environmental regulations may increase inequality. Opening up outside world population complex.

Language: Английский

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