Driving Factors and Decoupling Effects of Non-CO2 Greenhouse Gas Emissions from Agriculture in Southwest China DOI Creative Commons
Ruiyi Tang,

Yuanyue Chu,

Xiaoqian Liu

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(9), P. 1084 - 1084

Published: Sept. 6, 2024

In light of the growing demand for green and low-carbon development, advancement agriculture in alignment with China’s specific national circumstances is imminent. Given this urgency, accounting non-CO2 greenhouse gas (GHG) emissions agricultural system still process continuous research improvement. Therefore, paper, we present an account GHG Southwest China from 1995 to 2021, based on carbon emission coefficient method. Furthermore, explore extent influence drivers relationship economic utilizing Stochastic Impact Regression Population, Affluence, Technology (STIRPAT) model Tapio model. We observe a general trend increasing then decreasing region, pattern higher center lower east west. Economic, demographic, structural, technological levels show different degrees impact provinces, favoring development targeted planning policies each region. For majority study period, there was weak or strong decoupling between growth emissions. Finally, recommendations are made promote China, providing database policy support clarify contribution system.

Language: Английский

Can the development of the rural digital economy reduce agricultural carbon emissions? A spatiotemporal empirical study based on China's provinces DOI
Mingming Jin, Yong Feng,

Shuokai Wang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 939, P. 173437 - 173437

Published: May 23, 2024

Language: Английский

Citations

32
The Impact of High-Standard Farmland Construction Policies on the Carbon Emissions from Agricultural Land Use (CEALU) DOI Creative Commons

Fangsheng Liu,

Jian Lin

Land, Journal Year: 2024, Volume and Issue: 13(5), P. 672 - 672

Published: May 13, 2024

Agricultural activities are the second largest source of greenhouse gas emissions, and carbon emissions from agricultural land use (CEALU) have become a hot issue across world. Although there some studies on impact high-standard farmland construction policies they focus quantitative analysis do not give sufficient consideration to relationship between HSFC CEALU. Therefore, in this study, by relying provincial panel data China for period 2005–2017, effect basic policy per unit area its regional differences were quantitatively analyzed using difference-in-difference (DID) model. The results showed that: (1) China’s CEALU presented fluctuating upward change, but growth rate slowed down during 392.58 kg/ha 457.72 kg/ha, with an average annual 1.31%; (2) (HSFC) led significant emission reduction reduced 10.80% average. With promotion policy, overall increasing change; (3) was central China, non-significant eastern western China.

Language: Английский

Citations

5
Coupling and coordination of food security and agricultural carbon emission efficiency: Changing trends, influencing factors, and different government priority scenarios DOI
Cong Sun,

Enjun Xia,

Jieping Huang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122533 - 122533

Published: Sept. 16, 2024

Language: Английский

Citations

5
Toward low-carbon agriculture: measurement and driver analysis of agricultural carbon emissions in Sichuan province, China DOI Creative Commons
Wenxiu Zhang, Yang Shen

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 9

Published: April 14, 2025

Introduction Agricultural carbon emission reduction is the meaning of realizing goal double carbon, and Sichuan province, as one main grain producing areas in China, it urgent to realize agricultural reduction. Methods Based on data 18 cities province from 2000 2022, this paper calculates total intensity by using IPCC guidelines, measures its temporal, spatial evolution trend regional differences, further evaluates driving factors fixed effect model. Results The results show that: (1) quantity emissions has increased, but decreased, among which caused land planting residents’ life are sources; (2) differences narrowing, gap between groups root emissions, shows that eastern western Sichuan, southern quite different; (3) characterized agglomeration spillover, mainly showing a High-High mode, few have changed their modes; (4) influenced multiple factors. Population density, industrial structure, social wealth, mechanization technological progress negative effects intensity, while macro-control increased intensity. Discussion In study, complete accounting system for was established, series statistical methods were used analyze obtain insightful results. It useful exploration low-carbon models context climate change. important implications green development agriculture province.

Language: Английский

Citations

0
Deterioration and improvement: The U-shaped impact of industrialization on agricultural carbon productivity in China DOI Creative Commons

Zeng Gui,

Hana Wang

Science Progress, Journal Year: 2025, Volume and Issue: 108(1)

Published: Jan. 1, 2025

Industry and agriculture are two major industries for a country's economic development also important areas promoting sustainable development. At present, most countries in the world have started process of industrialization, green is valued by all countries. So what will be impact industrialization on low-carbon agriculture? Studying this problem has good theoretical practical significance. To end, we take example China's 2000–2021 provincial samples to study agricultural carbon productivity. The found that nonlinear effect productivity, with significant U-shaped feature, i.e. first deteriorating then improving. And there obvious heterogeneity feature. balance area grain production marketing main selling better than grain-producing areas, eastern central regions western region. same time, influence, level urbanization played role mechanism, while transport infrastructure positive regulatory effect.

Language: Английский

Citations

0
Harnessing the Digital Economy for Sustainable Agricultural Carbon Productivity: A Path to Green Innovation in China DOI
Fengshu Li, Jian Hou,

Hongyang Yu

et al.

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

Published: July 8, 2024

Language: Английский

Citations

2
Agricultural economic security under the model of integrated agricultural industry development DOI Creative Commons

Ning Chen,

Han‐Xiong Li

Quality Assurance and Safety of Crops & Foods, Journal Year: 2024, Volume and Issue: 16(3), P. 25 - 41

Published: July 27, 2024

As globalization and technological advancements progress, the integrated agricultural industry development model has become crucial for modernization. This fosters inter-industry integration, enhancing competitiveness sustainability. However, it also introduces new challenges, such as increased risk spillover outdated regulatory mechanisms. study employs a vector autoregression (VAR) directed weighted network quantitative analysis of dynamics within markets, identifying pathways influencers transmission across segments. A blockchain-based framework is proposed to improve traceability, efficiency, data security in product management. includes registration processes, smart contracts, consensus mechanisms, upload protocols. The research expands theoretical base economic offers practical policy guidance, with substantial academic implications. It highlights how blockchain can address market trust issues, mitigate information asymmetry, reduce potential risks, contributing healthier economy.

Language: Английский

Citations

2
The Carbon Footprint and Influencing Factors of the Main Grain Crops in the North China Plain DOI Creative Commons
Tao Sun, Hongjie Li,

Congxin Wang

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(8), P. 1720 - 1720

Published: Aug. 5, 2024

The North China Plain (NCP) serves as a critical grain-producing region in China, playing pivotal role ensuring the nation’s food security. A comprehensive analysis of carbon footprint (CF) related to cultivation major grain crops within this and proposal strategies reduce emissions through low-carbon production methods are crucial for advancing sustainable agricultural practices China. This study employed lifecycle assessment (LCA) method estimate CF wheat, maize, rice over period from 2013 2022, based on statistical data collected five key provinces cities NCP: Beijing, Tianjin, Hebei, Shandong, Henan. Additionally, Logarithmic Mean Divisia Index (LMDI) model was utilized analyze influencing factors. results indicated that footprints per unit area (CFA) increased between 2022. Rice had highest yield (CFY), averaging 1.1 kg CO2-eq kg−1, with significant fluctuations time. In contrast, CFY wheat maize remained relatively stable Fertilizers contributed most composition, accounting 48.8%, 48.0%, 25.9% total inputs rice, respectively. electricity used irrigation 31.8%, which much higher than (6.8%) (7.1%). LMDI showed labor effect common suppressing factor NCP, while structure economic development were driving By improving efficiency fertilizer pesticide utilization, cultivating new varieties, increasing mechanical operation efficiency, policy support, crop NCP can be effectively reduced. These efforts will contribute support China’s achieve its “double carbon” target.

Language: Английский

Citations

1
Can High-Standard Farmland Construction Reduce Carbon Emissions from Agricultural Land Use?—Evidence from China DOI Open Access

Fangsheng Liu,

Jian Lin

Published: March 26, 2024

Agricultural activities are the second largest source of greenhouse gas emissions, and carbon emissions from agricultural land use (CEALU) have become a hot issue across world. However, few scholars explored impact policies on such as High-standard farmland construction(HSFC) in China.Thus，by relying provincial panel data for China period 2005-2017, effect high-standard basic construction policy per unit area its regional differences were quantitatively analyzed using difference-in-difference (DID) model. The results showed that: 1) China's CEALU presented fluctuating upward trend during 392.58 kg/ha to 457.72 kg/ha, with an average annual growth rate 1.31%. 2) produced significant emission reduction use, reduced by 10.80% average. With promotion this policy, overall increasing trend. 3) was central China, but non-significant eastern western China.

Language: Английский

Citations

0
The Impact of Rural Industry Integration on Rural Carbon Emissions from Provincial Data in China DOI Creative Commons
Xianning Wang, Huiyan Zhou,

Longkun Tian

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 3, 2024

Abstract This paper quantifies the impact of rural industrial integration(RII) on carbon emissions(RCE) in China's provinces. Firstly, collected literature to discover intrinsic relationship between RII and RCE selected five indicators based Technique for Order Preference by Similarity an Ideal Solution(TOPSIS) method measure level RII.Secondly, panel data 30 provinces (autonomous regions municipalities) China from 2009 2022, uses spatial Durbin model(SDM)to quantify benefits RCE.Thirdly, through empirical analysis, main findings this include: (1) The increases with year, TOPSIS score is higher.(2) Use model better explain RCE. Among them, has a significant positive effect local RCE, while spillover benefit emissions neighboring areas not significant, showing contribution total effect.（3）From level, control variables regional fiscal tax revenues(RTL), urban-rural income gap(RUP), population development scale(RP), education level(EL), forest cover rate(FCR) role reflecting differentiation, introduce lag term improve fit explanatory ability model.（4）This provides robustness Endogenous tests explainability model.Finally, above findings, policy makers can propose optimized policies safeguard measures aspects integration mechanism, green low-carbon path, agricultural science technology support, trading enterprises.

Language: Английский

Citations

0