Study on the spatio-temporal coupling and drivers of agricultural carbon emission efficiency and food security DOI Creative Commons
Anzhi Liu,

Shuguo Yang

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Дек. 2, 2024

In light of global climate change and environmental challenges, reducing agricultural carbon emissions while maintaining food security has become a critical concern for sustainable development. This study examines 13 provinces in primary grain-producing regions, utilising data from 1999 to 2022 analyse the spatio-temporal heterogeneity driving factors coupled coordinated development emission efficiency security. The findings indicate that: 1) proportion inputs regions exceeds 80%, whereas contribution sinks rice, maise, wheat surpasses 95%. Both Yellow River Basin are significantly elevated; 2) general trend is increasing, spatially characterised by pattern high levels north south, low south north, respectively. integration two systems progressing positively, trailing form emerged as developmental trend, with degree limiting advancement both. 3) overall spatial disparity exhibits declining tendency, hypervariable density being contributor this difference. polarisation diminished. level Songhua basin progressively intensifies; 4) Rural human capital financial support agriculture, urbanisation rate soil erosion control, machinery power control main interaction factors. economic status rural will facilitate integrated harmonious systems, disaster impede Ultimately, policy solutions proposed optimise raise their utilisation efficiency, adopt diversified regional strategies, promote connection development, reinforce management drivers support.

Язык: Английский

Can Policy-Based Agricultural Insurance Promote Agricultural Carbon Emission Reduction? Causal Inference Based on Double Machine Learning DOI Open Access

Yuling Dong,

Lili Gu

Sustainability, Год журнала: 2025, Номер 17(9), С. 4086 - 4086

Опубликована: Май 1, 2025

Policy-based agricultural insurance plays a pivotal role in promoting carbon emissions reduction and driving the development of modernization. This study, based on panel data from 31 Chinese provinces spanning 2003 to 2021, employs double machine learning method conduct theoretical empirical analyses emission effects, implementation mechanisms, regional heterogeneity policy-oriented insurance. The findings indicate that enforcement policy-based exerts considerable influence curbing emissions. conclusion remains robust across rigorous suite robustness checks. Under “scale–structure–technology” logical framework, effects operate through three key mechanisms: scaling-up production, grain-oriented transformation planting structures, advancement technologies. Heterogeneity tests reveal significantly stronger mitigation impacts major grain-producing areas, Yangtze River Economic Belt, regions with stringent environmental regulations.

Язык: Английский

Процитировано

0
Assessing water-energy-food nexus efficiency for food security planning in China DOI
Lina Zhang, Haolin Yang, Yixin Chen

и другие.

Food Policy, Год журнала: 2025, Номер 134, С. 102902 - 102902

Опубликована: Июнь 5, 2025

Язык: Английский

Процитировано

0
How Does Green Credit Supply Enhance the Efficiency of Forestry Ecological Development? Taking the Perspective of Ecological Total Factor Productivity DOI
Bingrui Dong, Liupeng Chen, Yu Zhang

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 488, С. 144643 - 144643

Опубликована: Дек. 31, 2024

Язык: Английский

Процитировано

1
Study on the spatio-temporal coupling and drivers of agricultural carbon emission efficiency and food security DOI Creative Commons
Anzhi Liu,

Shuguo Yang

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Дек. 2, 2024

In light of global climate change and environmental challenges, reducing agricultural carbon emissions while maintaining food security has become a critical concern for sustainable development. This study examines 13 provinces in primary grain-producing regions, utilising data from 1999 to 2022 analyse the spatio-temporal heterogeneity driving factors coupled coordinated development emission efficiency security. The findings indicate that: 1) proportion inputs regions exceeds 80%, whereas contribution sinks rice, maise, wheat surpasses 95%. Both Yellow River Basin are significantly elevated; 2) general trend is increasing, spatially characterised by pattern high levels north south, low south north, respectively. integration two systems progressing positively, trailing form emerged as developmental trend, with degree limiting advancement both. 3) overall spatial disparity exhibits declining tendency, hypervariable density being contributor this difference. polarisation diminished. level Songhua basin progressively intensifies; 4) Rural human capital financial support agriculture, urbanisation rate soil erosion control, machinery power control main interaction factors. economic status rural will facilitate integrated harmonious systems, disaster impede Ultimately, policy solutions proposed optimise raise their utilisation efficiency, adopt diversified regional strategies, promote connection development, reinforce management drivers support.

Язык: Английский

Процитировано

0