
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 23, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 23, 2024
Language: Английский
Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121447 - 121447
Published: March 1, 2025
Language: Английский
Citations
1Land, Journal Year: 2025, Volume and Issue: 14(4), P. 682 - 682
Published: March 23, 2025
As one of the major sources carbon emissions, significant spatial disparities in agricultural emissions (ACE) pose a serious challenge to coordinated regional reduction efforts. In order precisely identify these ACE differences, this study estimates China from 2005 2020 across four main emission and applies bidimensional decomposition method Gini coefficient measure decompose their disparities. Finally, key factors driving are analyzed using Quadratic Assignment Procedure (QAP). The results show that China’s total initially declined, followed by an upward trend over period. Spatially, were higher eastern regions compared western regions, southern northern regions. differences paddy field between central identified as primary contributor east–west disparities, while materials dominant source north–south Furthermore, development levels mechanization capacity found be strongest drivers This provides empirical evidence for formulating region-specific source-targeted policies. Our findings highlight importance addressing imbalances, particularly management material usage, promote more sustainable China.
Language: Английский
Citations
1Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122499 - 122499
Published: Sept. 17, 2024
Language: Английский
Citations
7Journal of Geographical Sciences, Journal Year: 2024, Volume and Issue: 34(9), P. 1719 - 1738
Published: Sept. 1, 2024
Language: Английский
Citations
5Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144929 - 144929
Published: Feb. 1, 2025
Language: Английский
Citations
0Agriculture, Journal Year: 2025, Volume and Issue: 15(6), P. 592 - 592
Published: March 11, 2025
As an important industry in ecologically fragile areas, the synergy of agricultural pollution control and carbon reduction is vital for balanced development industries regional synergy. This paper aims to explore synergistic result areas so as clarify weak links solve areas. Leveraging 2006–2021 municipal data this calculates coupling coordination degree (CCD) non-point source emission areas; decoupling relationship between emissions, pollutants, gross output based on Tapio index; quantitatively depicts From 2006 2021, emissions depicted a fluctuating increasing trend. Agricultural “inverted U-shaped” growth The trends pollutants depict that although are homologous, there heterogeneity trend change emissions. results show upward increased from 0.32 0.89, indicating level coordinated significantly. Taking into account effect, state economic has changed negative strong decoupling, mainly expansion, decoupling; addition, capacity needs be further optimized. Based research results, some room improvement regions should strengthen cooperation.
Language: Английский
Citations
0Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107935 - 107935
Published: April 6, 2025
Language: Английский
Citations
0Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107946 - 107946
Published: April 10, 2025
Language: Английский
Citations
0Frontiers 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
0Food and Energy Security, Journal Year: 2025, Volume and Issue: 14(3)
Published: April 25, 2025
ABSTRACT Based on a spatiotemporal perspective, this study evaluates the agricultural ecology and food security levels of 31 provinces in China from 2013 to 2022 using rank‐sum ratio method. It analyzes trajectory changes through center‐of‐gravity model explores dynamic relationship between two with VAR model. The results show that China's ecosystem has recovered since 2019, 21% increase capability. Geographically, index shows higher values east lower west, while are unevenly distribution across country. Notably, centers gravity located Nanyang, Henan, northwestward shift, indicating advancements northwest region. synergistic enhancement significantly improved stability sustainability, highlighting importance their mutual complementarity. conclusions drawn may offer insights into promoting regional sustainability developing effective policies.
Language: Английский
Citations
0