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The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production

Agricultural carbon mitigation is critical for China to encourage the sustainable development of agriculture and achieve the carbon peak by 2030 and carbon neutrality by 2060. By exploring the impact mechanism of the carbon emission intensity (CEI) of grain production, we can effectively promote the...

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Autores principales: Li, Zhi, Li, Jingdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8823548/
https://www.ncbi.nlm.nih.gov/pubmed/35133588
http://dx.doi.org/10.1007/s11356-022-18980-y
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author Li, Zhi
Li, Jingdong
author_facet Li, Zhi
Li, Jingdong
author_sort Li, Zhi
collection PubMed
description Agricultural carbon mitigation is critical for China to encourage the sustainable development of agriculture and achieve the carbon peak by 2030 and carbon neutrality by 2060. By exploring the impact mechanism of the carbon emission intensity (CEI) of grain production, we can effectively promote the low-carbon transformation of agricultural production and ensure the sustainable development of the food supply. This article analyzes the temporal and spatial evolution of the total carbon emission (TCE) and CEI of staple crops and adopts a dynamic spatial model to explore the influence mechanism and spatial spillover effects of the CEI of grain production based on evidence from China’s major grain-producing provinces from 2002 to 2018. The results indicate that the TCEs of rice, wheat, and maize fluctuate upward and that the CEI in most producing areas decreases with low-low agglomeration (or high-high agglomeration). Among the influencing factors, technology is the main factor reducing CEI. Technical efficiency, urbanization, industrial structure, agricultural agglomeration, and agricultural trade openness can be transmitted to neighboring areas through spatial spillover mechanisms. The spatial spillover mechanisms are resource flow, technology spillover, and policy learning, producing the demonstration effect and siphon effect. Based on our findings, agricultural technology innovation and popularization, urbanization, optimization of the agricultural structure, financial payments, and factor flow among regions should be improved to encourage the low carbon transformation of grain production.
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spelling pubmed-88235482022-02-09 The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production Li, Zhi Li, Jingdong Environ Sci Pollut Res Int Research Article Agricultural carbon mitigation is critical for China to encourage the sustainable development of agriculture and achieve the carbon peak by 2030 and carbon neutrality by 2060. By exploring the impact mechanism of the carbon emission intensity (CEI) of grain production, we can effectively promote the low-carbon transformation of agricultural production and ensure the sustainable development of the food supply. This article analyzes the temporal and spatial evolution of the total carbon emission (TCE) and CEI of staple crops and adopts a dynamic spatial model to explore the influence mechanism and spatial spillover effects of the CEI of grain production based on evidence from China’s major grain-producing provinces from 2002 to 2018. The results indicate that the TCEs of rice, wheat, and maize fluctuate upward and that the CEI in most producing areas decreases with low-low agglomeration (or high-high agglomeration). Among the influencing factors, technology is the main factor reducing CEI. Technical efficiency, urbanization, industrial structure, agricultural agglomeration, and agricultural trade openness can be transmitted to neighboring areas through spatial spillover mechanisms. The spatial spillover mechanisms are resource flow, technology spillover, and policy learning, producing the demonstration effect and siphon effect. Based on our findings, agricultural technology innovation and popularization, urbanization, optimization of the agricultural structure, financial payments, and factor flow among regions should be improved to encourage the low carbon transformation of grain production. Springer Berlin Heidelberg 2022-02-08 2022 /pmc/articles/PMC8823548/ /pubmed/35133588 http://dx.doi.org/10.1007/s11356-022-18980-y Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Li, Zhi
Li, Jingdong
The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production
title The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production
title_full The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production
title_fullStr The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production
title_full_unstemmed The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production
title_short The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production
title_sort influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8823548/
https://www.ncbi.nlm.nih.gov/pubmed/35133588
http://dx.doi.org/10.1007/s11356-022-18980-y
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