ArticleInternational journal of environmental research and public health2022
Spatiotemporal Characteristics, Decoupling Effect and Driving Factors of Carbon Emission from Cultivated Land Utilization in Hubei Province.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Spatio-temporal evolution analysis of land-use carbon effects driven by new quality productive forces: a case study of Hubei province.Scientific reports · 2026Article
- Spatial correlation network characteristics and driving factors of carbon emissions from cultivated land use in the yellow river basin.Scientific reports · 2025Article
- Spatiotemporal evolution of agricultural carbon emissions intensity in China and analysis of influencing factors.Scientific reports · 2025Article
- Measuring the carbon shadow price of agricultural production: a regional-level nonparametric approach.Environmental science and pollution research international · 2024Article
- Spatiotemporal Changes of Cultivated Land System Health Based on PSR-VOR Model-A Case Study of the Two Lake Plains, China.International journal of environmental research and public health · 2023Article
- Spatiotemporal Differentiation of the Coupling and Coordination of Production-Living-Ecology Functions in Hubei Province Based on the Global Entropy Value Method.International journal of environmental research and public health · 2022Article
- Spatial and Temporal Distribution and the Driving Factors of Carbon Emissions from Urban Production Energy Consumption.International journal of environmental research and public health · 2022Article
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8 authors.
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Abstract
The carbon emission level and spatiotemporal characteristics in Hubei Province were estimated and studied using the Intergovernmental Panel on Climate Change (IPCC) carbon emission coefficient technique based on county data from Hubei Province from 2000 to 2020. The relationship between carbon emissions from cultivated land utilization and agricultural economic growth was examined using the Tapio decoupling index, and the factors influencing carbon emissions in Hubei Province were further examined using the Logarithmic Mean Divisia Index (LMDI model). The results demonstrate that: (1) Spatiotemporal variations in carbon emissions are evident. In terms of time, the volume of carbon emissions in Hubei Province is still substantial, and the transition to low-carbon land use is quite gradual. Geographically, the high-value region of the middle east coexists with the low-value zone of the west, with apparent regional contrasts. (2) The decoupling between carbon emissions and agricultural economic growth is becoming more and more obvious in Hubei Province. The number of counties and cities in a negative decoupling state has significantly decreased, and the majority of counties are now in a strong decoupling condition. (3) Agricultural production efficiency is the most significant driving factor for restricting carbon emission, according to the decomposition results of carbon emission driving factors based on the LMDI model. In addition, the results of sample decomposition based on topographic characteristics indicate that agricultural production efficiency is primarily responsible for the suppression of carbon emissions in flat regions. The increase in carbon emissions in hilly regions is primarily influenced by agricultural productivity. The increase in carbon emissions in mountainous regions is mostly influenced by agricultural labor intensity. This study's finding has enlightening implications for the high-quality growth of agriculture.
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