Decomposition and decoupling analysis of carbon emissions from agricultural economic growth in China's Yangtze River economic belt

Sun, Dongying; Cai, Siqin; Yuan, Xibo; Zhao, Chen; Gu, Jiarong; Chen, Zhisong; Sun, Huaping

doi:10.1007/s10653-021-01163-y

Cited by 20 publications

(9 citation statements)

References 58 publications

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“…The R farm in Chengdu, China, can directly achieve carbon emissions reduction of 3166 tons per year by reducing fertilizer use and resource consumption in production and transportation through digital agriculture management, the combination of digital technology and digital finance can increase the economic benefits for farmers by about 8%, and the integration and development of digital agriculture and digital inclusive finance has a significant effect on agricultural carbon emissions reduction (Zhang et al 2022). Unlike in other countries, digital agriculture in China is mostly combined with digitalization of the agricultural industry (Zhao et al 2022), rural industrial models (Wu 2021)and digital economy models effectively (Xie 2020), which is related to the innovation of the digital agriculture development model (Wang et al 2020), and this paper explores the relevant paths of agricultural carbon emissions from the perspective of digital agriculture to provide ideas for carbon emissions reduction via digital agriculture.…”

Section: The Development Of Digital Agriculturementioning

confidence: 99%

“…Agricultural carbon emissions. This paper measures carbon emissions from agriculture (farming) in a narrow sense in 31 provinces and cities in China (excluding Hong Kong, China, Taiwan, and Macao), and the carbon emissions sources mainly include the six aspects of agricultural fertilizers, pesticides, agricultural films, agricultural diesel, tillage, and agricultural irrigation (Chen et al 2022). The measurement method uses the method recommended by the 2006 National Greenhouse Gas Inventory Guidelines of the United Nations Intergovernmental Panel on Climate Change to measure the carbon emissions of agricultural production inputs and outputs in the agricultural production process.…”

Section: Explanatory Variablesmentioning

confidence: 99%

“…As human societies and economies continue to grow, the negative impact of carbon emissions on people around the world is increasing, and the impact of ecological imbalance and greenhouse gases cannot be ignored. The UN website published a report in 2019 titled "The agricultural sector plays a key role in limiting climate changes", which showed that 25-30% of global greenhouse gas emissions come from agriculture and land (Sun et al 2022). Agricultural production activities emit carbon dioxide and have carbon sink functions, playing an important role in the atmospheric carbon balance, but there are spatial differences in agricultural carbon emissions (Charkovska et al 2019).…”

Section: Introductionmentioning

confidence: 99%

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The Carbon Emissions Reduction Effect of Digital Agriculture in China

Wei

2022

Preprint

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Carbon emissions reduction is gaining increasing attention worldwide. Digital agriculture has a carbon emissions reduction effect. This paper focuses on how the development of digital agriculture contributes to agricultural carbon emissions reduction.To this end, the spatial characteristics, spillover effects and driving factors of digital agriculture on agricultural carbon emissions are explored using panel data of 31 regions in China from 2011 to 2019 using a spatial econometric model. The results show that digital agriculture development reduces agricultural carbon emissions.The results remain robust after estimation using the replacement weight method and the explanatory variable substitution method. Agricultural technological progress, agricultural industry structure, and rural education level all contribute to the reduction of agricultural carbon emissions in a region, while agricultural carbon emissions in the neighboring regions have a negative relationship with the agricultural industry structure in the region and a positive relationship with rural education level and agricultural technological level. Furthermore, strengthening the exchange of digital agriculture between regions and leveraging the intermediary effect of digital inclusive finance can effectively enhance the carbon emissions reduction effect.

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Section: The Development Of Digital Agriculturementioning

confidence: 99%

Section: Explanatory Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Carbon Emissions Reduction Effect of Digital Agriculture in China

Wei

2022

Preprint

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“…(2) There has been no thorough and systematic study on the spatiotemporal features of carbon emissions from the county level, and the sample region is often restricted to the province or prefecture-level cities [ 29 ]. (3) The decoupling analysis between carbon emissions and economic growth is not deep enough, and there is little comparative analysis based on the decoupling characteristics of different regions during the same period [ 30 ]. Thus, how can a verifiable carbon emission measurement system be built for the use of cultivated land resources?…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characteristics, Decoupling Effect and Driving Factors of Carbon Emission from Cultivated Land Utilization in Hubei Province

Xiao

Zhang

Qian

et al. 2022

IJERPH

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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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“…Since then, numerous scholars used the decoupling elasticity to explore relationship between environmental pollution and economic growth (GDP), such as agricultural pollutant emissions, agricultural carbon emissions and livestock GHG emissions (Wang and Feng, 2019;Rehman et al, 2020;Bai et al, 2021). They also have researched the influencing factors of greenhouse gases (Ayyildiz and Erdal, 2021;Liu and Feng, 2021;Sun et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Decoupling of greenhouse gas emissions from livestock industrial development: Evidence from China Agricultural Green Development Modern Zone

Liu

Ahmad

et al. 2022

Front. Environ. Sci.

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China Agricultural Green Development Modern Zone (CAGDMZ) constitute a demonstration area for achieving green and sustainable development of Chinese agriculture. It plays a role in demonstrating high-quality agricultural development and environmental protection. As a result, a coordinated interaction among livestock greenhouse gas (GHG) emissions and rapid industrial livestock evolution in the CAGDMZ is of great concern to China’s government. In this paper, we were the first to research the decoupling relationship between livestock GHG emissions and industrial development by using data from 165 CAGDMZ of China from 2010 to 2019 at different regional scales and long time series. On this basis, we further explored the factors affecting livestock GHG emissions by using the Logarithmic Mean Divisia Index method (LMDI). Our analysis revealed that the amount of GHG emissions from livestock in the CAGDMZ showed a rising and then declining trend. Pigs, nondairy cattle and sheep were the main targets of livestock GHG emission reductions. There were obvious spatial differences in livestock GHG emissions. 17 provinces’CAGDMZ achieved emissions reductions, but 14 provinces’ CAGDMZ increased livestock GHG emissions. The Northeast CAGDMZ had the highest livestock GHG emissions and the Eastern CAGDMZ had the largest livestock GHG deceleration. Furthermore, the decoupling status in the CAGDMZ were unstable. Most provinces or regions of the CAGDMZ maintained the economic growth of livestock while curbing the excessive growth of GHG emissions. Only a few of them achieved a win-win situation of livestock output value increase while GHG emission reduction. Moreover, the comprehensive effect showed an inverted “U” trend. Production efficiency was the most major contributor to livestock GHG emissions reductions. Economic development factor and labor scale factor were the main driving factors for increasing GHG emissions. Industrial structure factor shifted from promotion to suppression of livestock GHG emissions. Therefore, some policies to accomplish the CAGDMZ’s long-term development were proposed.

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Decomposition and decoupling analysis of carbon emissions from agricultural economic growth in China's Yangtze River economic belt

Cited by 20 publications

References 58 publications

The Carbon Emissions Reduction Effect of Digital Agriculture in China

The Carbon Emissions Reduction Effect of Digital Agriculture in China

Spatiotemporal Characteristics, Decoupling Effect and Driving Factors of Carbon Emission from Cultivated Land Utilization in Hubei Province

Decoupling of greenhouse gas emissions from livestock industrial development: Evidence from China Agricultural Green Development Modern Zone

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