Toward low-carbon agriculture: measurement and driver analysis of agricultural carbon emissions in Sichuan province, China

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

---

Evolution Trends in Carbon Emissions and Sustainable Development Paths in China’s Planting Industry from the Perspective of Carbon Sources

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2772 - 2772

Published: March 20, 2025

Reducing agricultural carbon emissions is key to promoting the sustainable development of agriculture. Carbon sources play a significant role in China’s planting industry. Researching principles evolutionary trends regarding industry helps formulate scientific policies control such This paper adopted an emission factor approach from IPCC estimate CO2 all kinds 1997 2017. On basis data, dynamic evolution and six were analyzed by kernel density estimation approach. Notably, study discovered that peaked 2015. In terms contributions various industry, sorted chemical fertilizers, diesel oil, films, pesticides, irrigation, seeding, their contribution rates 60.82%, 13.95%, 12.88%, 9.83%, 1.88%, 0.64%. At same time, results show there was increasing trend across whole nationwide, with apparent “multipolarization”. From perspective regions, pesticides had multipolarization central while monopolarization eastern western regions. The seeding irrigation similarly eastern, central, Basically, they double increase pattern regional differences. Therefore, government needs target set up long-term mechanisms ensure stable orderly reduction leading its traditional climate-smart

Language: Английский

---

The Influencing Mechanism and Spatial Effect of the Digital Economy on Agricultural Carbon Emissions

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 3877 - 3877

Published: April 25, 2025

As a progressive and systematic initiative that necessitates the collective participation of society, achieving goals carbon peaking neutrality has had significant positive impact on transformation energy structure, development new industry, enhancement economic efficiency environmental quality, deepening international cooperation across multiple dimensions. This study examines how digital economy affects reductions in context China’s pursuit peak targets. To thoroughly examine regional influences agricultural emissions uncover its underlying mechanism, this uses regression analysis models using panel data from 31 Chinese provinces (not including Hong Kong, Macau, Taiwan) 2013 to 2022. In meantime, investigates spatial effects emissions. The results show rapid plays role reducing particular, every 1 unit increase level is associated with 0.125-unit reduction Second, expansion allows labor transfer, which indirectly suppressive effect through channel. Third, one area spillover effects, leading other cities. Fourth, these vary depending topography production. flat regions high-yield areas see greater compared steep low-yield areas. Therefore, research can help reveal path digital-technology-driven green agriculture provide scientific basis for optimizing carbon-emission-reduction policies sustainable development.

Language: Английский

---

Regional Differences and Efficiency Measurement of China's Agricultural Net Carbon Sink

Published: Jan. 1, 2024

Language: Английский

---