Innovative measurement, trade-off-synergy relationship and influencing factors for agricultural net carbon emissions and effective supply of agricultural products in China

Zhang, Lin; Cai, Chengzhi

doi:10.1016/j.heliyon.2024.e24621

Cited by 3 publications

(2 citation statements)

References 41 publications

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“…Chu et al used the IPCC's carbon emission coefficient approach to assess greenhouse gas emissions from agriculture that are not carbon-based at the province level in a thorough manner [3]. To estimate overall agriculture net carbon emissions, Zhang and Cai employed the economywater-carbon coefficient technique, the IPCC carbon emissions accounting method, and the environmental input-output model [4]. Using an enhanced input-output model, Qi et al estimated CO 2 and air pollutant emission leakages at the provincial level in China in 2012 and 2017 based on dispersed dyes' carbon footprint [5].…”

Section: Carbon Emissions Measurement Methodsmentioning

confidence: 99%

Analysis of Influencing Factors and Prediction of the Peak Value of Industrial Carbon Emission in the Sichuan-Chongqing Region

Fang,

2024

Sustainability

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The greenhouse effect has a negative impact on social and economic development. Analyzing the factors influencing industrial carbon emissions and accurately predicting the peak of industrial carbon emissions to achieve carbon peak and carbon neutrality is therefore vital. The annual data from 2000 to 2022 were used to study the influencing factors of carbon emission and the path of carbon emission reduction. In this study, the gray correlation method and stepwise regression method were used to explore the effective factors that met the significance test and the STIRPAT expansion model was constructed to analyze the characteristics and influencing factors of industrial carbon emissions in the Sichuan-Chongqing region. Finally, the changing trend of regional industrial carbon emissions is predicted by scenario analysis and four development scenarios are set up, which show that (1) from 2000 to 2022, the change in total industrial carbon emissions in Sichuan Province and Chongqing Municipality presents an inverted U-shaped trend, reaching a phased peak in 2013 and 2014, respectively, then declining and then rising again after 2018. (2) Industrial scale foreign trade dependence and population are the effective factors of industrial carbon emission in Sichuan, and all have positive effects. Energy structure and per capita income are the effective factors in Chongqing, showing negative and positive effects, respectively. (3) Analysis of four scenarios shows that the time range of the industrial carbon peak in the Sichuan-Chongqing region is 2030–2035 and that its peak height ranges from 81.98 million tons to 87.64 million tons. Among them, the green development scenario is the most consistent path to achieve the carbon peak as soon as possible; in this case, industrial carbon emissions will peak in 2030, in line with the national target time, and the lowest peak level of 81.98 million tons. The suggestions in this paper are continuously optimizing the energy structure, adjusting the industrial scale, and accelerating scientific and technological progress to achieve sustainable development.

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Section: Carbon Emissions Measurement Methodsmentioning

confidence: 99%

Analysis of Influencing Factors and Prediction of the Peak Value of Industrial Carbon Emission in the Sichuan-Chongqing Region

Fang,

2024

Sustainability

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“…In the context of China, several studies have focused on the specific challenges and opportunities within the agricultural sector. Research has examined the carbon footprints of various agricultural products in China, identifying significant regional variations and suggesting targeted strategies for carbon reduction [15][16][17]. Similarly, economic implications of agricultural practices in China have been explored, emphasizing the need for region-specific strategies that consider both economic and environmental factors [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Making Decisions on the Development of County-Level Agricultural Industries through Comprehensive Evaluation of Environmental and Economic Benefits of Agricultural Products: A Case Study of Hancheng City

Lu,

Wang,

et al. 2024

Agriculture

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This study aims to provide a scientific basis for the development of county-level agricultural industries through a comprehensive evaluation of the environmental and economic benefits of agricultural products. Focusing on Hancheng City in Shaanxi Province, this paper calculates and analyzes the carbon emission intensity per unit output value and the economic benefits of major agricultural products, assessing their comprehensive advantage indices. The research methods include data collection, data processing, and model construction, utilizing a bi-factor matrix analysis to explore the balance between environmental sustainability and economic profitability of different agricultural products. The results indicate that pepper and vegetables have the highest comprehensive advantages, demonstrating significant economic and environmental benefits, while soybeans show lower comprehensive advantages, requiring improvements in cultivation techniques and management practices. Based on the research findings, this paper proposes policy and management recommendations for different agricultural products, including focusing on the development of high-comprehensive-advantage products, improving cultivation techniques for low-comprehensive-advantage products, promoting green agricultural technologies, establishing a carbon footprint monitoring system for agricultural products, and strengthening agricultural infrastructure construction. The study’s conclusions provide theoretical support and practical guidance for the agricultural development strategies of Hancheng City and similar regions, contributing to the achievement of sustainable agricultural development and carbon reduction goals.

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Study on Carbon Emission Influencing Factors and carbon emission reduction potential in China's food production industry

Wang,

Hu,

Hou

et al. 2024

Environmental Research

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Innovative measurement, trade-off-synergy relationship and influencing factors for agricultural net carbon emissions and effective supply of agricultural products in China

Cited by 3 publications

References 41 publications

Analysis of Influencing Factors and Prediction of the Peak Value of Industrial Carbon Emission in the Sichuan-Chongqing Region

Analysis of Influencing Factors and Prediction of the Peak Value of Industrial Carbon Emission in the Sichuan-Chongqing Region

Making Decisions on the Development of County-Level Agricultural Industries through Comprehensive Evaluation of Environmental and Economic Benefits of Agricultural Products: A Case Study of Hancheng City

Study on Carbon Emission Influencing Factors and carbon emission reduction potential in China's food production industry

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