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

Abstract

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.

Agricultural production agglomeration and total factor carbon productivity: based on NDDF–MML index analysis

“…However, there are great differences in the conclusions about the impact of agricultural production agglomeration on environmental pollution. On one hand, some studies have found that the expansion of production scale caused by agglomeration will accelerate the consumption of resources, thereby deteriorating the agro-ecological environment in agglomeration areas and increasing agricultural carbon emissions (Li and Li, 2022). On the other hand, some researchers have found that agglomeration can alleviate agricultural environmental pollution.…”

Spatiotemporal heterogeneity effect of technological progress and agricultural centrality on agricultural carbon emissions in China

“…In addition, carbon emissions in some regions have a rebound effect (Tian et al, 2014;. The agricultural carbon emission intensity shows a downward trend over time, and the decline rate in central and eastern regions is significantly faster than the western regions (Li and Li, 2022). In terms of research methods, various methods such as slacks-based measure (SBM) model (Kuang et al, 2020;Liu D. D. et al, 2021), exploratory spatial data analysis Cui et al, 2021), input-output model (Wang et al, 2020) and scenario simulation (Shan et al, 2018;Liu and Feng, 2020) have been used in the research on structure, offset and spatiotemporal variation of agricultural carbon emissions.…”

“…Due to different research periods, some studies found that technological progress has a significant inhibitory impact on agricultural carbon emissions (Liu and Yang, 2021). Agricultural technological progress has a strong diffusion effect (He et al, 2021;Li and Li, 2022). Most of the previous studies only analyse the overall effect and ignore regional heterogeneity when exploring the effect of technological progress on agricultural carbon emissions; GTWR model can uncover the spatiotemporal heterogeneity of technological progress on agricultural carbon emissions.…”

Carbon-Emission Density of Crop Production in China: Spatiotemporal Characteristics, Regional Disparities, and Convergence

“…Carbon-emission intensity is a relative index of carbon emissions, reflecting the emissions per unit of output value [25][26][27]. Some researchers [28,29] analyzed the carbon-emission intensity of crop production, and others defined the carbon emissions per unit of yield as the product carbon footprint [4,23,30] and per unit of area as the farm carbon footprint [31,32] based on the idea of the functional unit. These researchers also referred to these carbon emissions as density or intensity.…”