Has the Digital Economy Boosted Carbon Reduction in Livestock Farming in China? DOI Creative Commons
Tiantian Su, Cuixia Li

Agriculture, Journal Year: 2024, Volume and Issue: 14(9), P. 1494 - 1494

Published: Sept. 1, 2024

Carbon reduction in livestock is a necessary path for the green transformation of industry. Has digital economy as an emerging productive force recent years driven carbon sector? This paper employs dynamic panel regression models, mediation effect and spatial econometric models to investigate impact mechanisms on emission husbandry. The results indicate following: (1) has positive farming by fostering technical innovation, enhancing level human capital, transforming mode production. (2) From 2013 2021, did not show significant until 2018. It had substantial husbandry northeastern western regions, while its influence eastern central regions been significant. positively affects non-dairy cows pigs, negatively poultry, shows no dairy sheep. (3) In terms effects, only driving reductions from local region but also significantly surrounding provinces. findings this article provide some insights into future policy formulation low-carbon development sector.

Language: Английский

Spatial-Temporal Variations and Driving Factors of the Coupling and Coordination Level of the Digital Economy and Sustainable Rural Development: A Case Study of China DOI Creative Commons

Wanxiang Nong,

Jun Wen,

Jingyue He

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(6), P. 849 - 849

Published: May 29, 2024

Sustainable rural development forms a robust foundation for economic and social sustainability. Moreover, the digital economy acts as catalyst advancing sustainable by altering distribution of production factors. Thus, this study concentrates on 30 provinces in China, constructing an evaluation index system both development. The employs various methods models to analyze spatiotemporal changes driving factors affecting coupling coordination between these two aspects. research findings are follows: levels among China have been rise year year. By 2022, most range 0.5 0.6. Regional disparities primary determinant poor overall level China. In eastern region is 0.6663, compared 0.5420 central 0.5087 western region. Factors such urbanization, industrial structure transformation, technological innovation, higher education, development, government support significantly influence level. Nevertheless, their effects vary across regions, with more pronounced impact than regions. Therefore, paper proposes policy recommendations, including infrastructure optimization, digitization promotion, regional resource allocation enhancement, cross-regional mechanism exploration, differentiated strategy implementation.

Language: Английский

Citations

8
Digitalization Drives the Green Transformation of Agriculture-Related Enterprises: A Case Study of A-Share Agriculture-Related Listed Companies DOI Creative Commons

Yue Yuan,

Xiaoyang Guo, Yang Shen

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(8), P. 1308 - 1308

Published: Aug. 7, 2024

The advent of new digital technologies has catalyzed a disruptive technological revolution, fostering significant industrial changes and advancing the green transformation economy society. This paper investigates influence digitization on agribusiness firms, focusing agriculture-related companies listed Shanghai Shenzhen A-share markets from 2013 to 2021. Employing fixed-effect mediated-effect models, study examines mechanisms through which impacts these enterprises. findings indicate that relationship between in is non-linear; certain threshold must be achieved before it positively affects transformation. effect varies according nature business ownership, company size, supply chain flexibility, regional environmental regulations. reveals influences several promote economies scale, innovation, structural adjustments. While scale derived do not directly support transformation, they facilitate innovation adjustments enhance initiatives agribusiness.

Language: Английский

Citations

5
Empowering agricultural ecological quality development through the digital economy with evidence from net carbon efficiency DOI Creative Commons
Rui Dong, Qiang Gao, Qingkai Kong

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 28, 2025

The drive of the rural digital economy in agricultural development and enhancement net carbon efficiency are integral to ensuring quality ecology. To better understand impact on ecological quality, this paper utilizes panel data from 30 provinces (municipalities, autonomous regions) China 2013 2020 employs instrumental variable method analyze efficiency. results reveal that advancement significantly enhances agriculture, finding remains robust even after substituting explanatory variables excluding samples direct-administered municipalities. Heterogeneity analysis indicates aforementioned is more pronounced major grain-producing areas, regions with high industrial concentration, areas low government intervention. Further reveals can enhance through two primary mechanisms: improving human capital promoting technological progress. conclusions study have significant implications for level optimizing

Language: Английский

Citations

0
Does Participation in Digital Supply and Marketing Promote Smallholder Farmers’ Adoption of Green Agricultural Production Technologies? DOI Creative Commons

Yuyang Li,

Jiahui Li, Xinjie Li

et al.

Land, Journal Year: 2024, Volume and Issue: 14(1), P. 54 - 54

Published: Dec. 30, 2024

As global environmental challenges intensify, promoting green agricultural production technologies (GAPTs) that balance ecological and economic benefits at the farmer level has become a crucial pathway to achieving sustainable development. To achieve this goal, study uses an Ordered Probit model, which empirically tests impact mechanisms of digital supply marketing (DSM) participation on farmers’ adoption GAPTs, based micro-survey 1272 farmers from Shaanxi Province, Gansu Ningxia Hui Autonomous Region in China. The findings reveal following: (1) Participation DSM effectively encourages adopt GAPTs. (2) Such enhances household per capita income, strengthens risk management, lowers entry barriers high-value markets, improves access information, thereby (3) Compared low-capital, high-labor, low-risk technologies, stronger incentivizing effect high-capital, low-labor, high-risk technologies. This offers novel empirical insights into It provides micro-level evidence supporting application agriculture safeguarding sustainability.

Language: Английский

Citations

1
Has the Digital Economy Boosted Carbon Reduction in Livestock Farming in China? DOI Creative Commons
Tiantian Su, Cuixia Li

Agriculture, Journal Year: 2024, Volume and Issue: 14(9), P. 1494 - 1494

Published: Sept. 1, 2024

Carbon reduction in livestock is a necessary path for the green transformation of industry. Has digital economy as an emerging productive force recent years driven carbon sector? This paper employs dynamic panel regression models, mediation effect and spatial econometric models to investigate impact mechanisms on emission husbandry. The results indicate following: (1) has positive farming by fostering technical innovation, enhancing level human capital, transforming mode production. (2) From 2013 2021, did not show significant until 2018. It had substantial husbandry northeastern western regions, while its influence eastern central regions been significant. positively affects non-dairy cows pigs, negatively poultry, shows no dairy sheep. (3) In terms effects, only driving reductions from local region but also significantly surrounding provinces. findings this article provide some insights into future policy formulation low-carbon development sector.

Language: Английский

Citations

0