Decoupling analysis and peak prediction of carbon emission based on decoupling theory

Shi, Chunxue

doi:10.1016/j.suscom.2020.100424

Cited by 20 publications

(18 citation statements)

References 28 publications

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“…Therefore, this study holds that greenhouse gases directly or indirectly generated by agricultural production practices account for the majority of carbon emissions from the utilization of cultivated land resources [ 4 , 8 , 40 ], including: first, the chemical utilization of cultivated land resources, such as direct or indirect carbon emissions caused by the production and use of fertilizer, pesticide, agricultural film and materials [ 41 ]. Second, energy consumption, such as direct or indirect carbon emissions caused by diesel, electricity and other energy consumed in the process of agricultural production [ 42 ]. Third, cultivated land planting, such as ploughing, destroys the soil surface and soil organic carbon pool, resulting in the release of organic carbon into the atmosphere [ 43 ].…”

Section: Methodsmentioning

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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Section: Methodsmentioning

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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“…Other factors, such as urbanization, population density and the stability of renewable energy supply, could also influence the decoupling of economic growth from carbon emissions [ 31 ]. For example, there is a large gap in the degree of implementation of environmental policies and technologies between developed and less developed provinces, so the focus of future decoupling development might be on the promotion of energy-saving technologies, industrial structure upgrading and energy structure optimization, in addition to the strict implementation of national environmental policies [ 32 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Decoupling between Economic Growth and Carbon Emissions: Based on Four Major Regions in China

Shen

et al. 2023

IJERPH

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This paper constructs a decoupling model for four major economic regions of China, based on the Tapio decoupling index method and VAR model for carbon emissions to compare and measure the impact of decoupling between carbon emissions and economic growth in China during 1997 to 2019. The results show that the degree of decoupling between economic growth and carbon emissions varies among different economic regions, and the decoupling status is better in all regions at the beginning of the 21st century. In general, the decoupling status in the eastern and western regions is more ideal than that in the central and northeastern regions. The impulse response and variance decomposition results show that renewable energy consumption could always reduce the growth of carbon emission intensity, and its effects are most significant in the western region. The above findings help to reveal the link between economic growth, renewable energy consumption and carbon emissions in China in recent years, and how to ensure a stable economic growth in China while increasing the share of clean energy consumption in each region to achieve carbon neutrality.

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“…Since the effect of economic development and adaptation on CO 2 emissions tends to reverse direction at the tipping point, the EKC hypothesis is gaining importance as a strategy for reducing climate change. Whether or whether there is a correlation between CO 2 emissions and economic growth has been the subject of numerous research, with varying results (Shi, 2020). For the reason that agriculture, renewable energy, industry, and trade are all considered when assessing economic growth in both developing and developed nations (Nwaka et al, 2020;Beyene, 2022;Farooq et al, 2022;Rehman et al, 2022).…”

Section: Data Specificationmentioning

confidence: 99%

Comparing the effects of agricultural intensification on CO2 emissions and energy consumption in developing and developed countries

Khan

Alabsi

Muda

2023

Front. Environ. Sci.

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Energy consumption has become a requirement in the modern world, and without it, the economies of developing nations cannot prosper. Consistent economic growth is a challenge for countries of all economic levels, not just the less developed ones. We test the EKC hypothesis by analyzing the relationships between GDP growth, energy consumption, agricultural output, and the consequences of carbon dioxide (CO2) emissions. From 1991 to 2016, we used panel and quantile regression analysis to compare emissions in nine developing countries with those in 13 developed countries. There is the beginning of a reverse U-shaped relationship between agricultural energy use and greenhouse gas emissions. As a result, the verified EKC hypothesis paves the way for a watershed moment in the progress of industrialized nations’ economies. As an added bonus, agricultural results have a positive impact on CO2 emissions from using liquid fuels. It has a negative impact on CO2 emissions by 19.12% and causes a 4.802 percent increase in environmental degradation. Feed cropping, deforestation, biomass burning, and deep soil and cropping also have negative effects on the environment, especially in developing countries. There is a negative correlation between CO2 emissions and economic growth in developing countries and their energy consumption. Although the EKC hypothesis for CO2 emissions was rejected at lower quantiles, it was validated for Qatar, Canada, China, and other high-emitting economies according to the empirical estimation of quantile regression. The findings of this study have important policy implications for reducing carbon dioxide emissions, suggesting that policymakers account for the stage of economic growth currently being experienced when formulating measures to cut energy use and protect the environment. In particular, policies aimed at reducing energy consumption could.

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Decoupling analysis and peak prediction of carbon emission based on decoupling theory

Cited by 20 publications

References 28 publications

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

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

Decoupling between Economic Growth and Carbon Emissions: Based on Four Major Regions in China

Comparing the effects of agricultural intensification on CO2 emissions and energy consumption in developing and developed countries

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