Relationship between climate change and low-carbon agricultural production: A case study in Hebei Province, China

Bai, Yilong; Deng, Xiangzheng; Jiang, Shanwen; Zhao, Zhe; Miao, Yi

doi:10.1016/j.ecolind.2018.04.003

Cited by 70 publications

(37 citation statements)

References 36 publications

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“…are often used to estimate total greenhouse gas emissions. Greenhouse gases from agricultural production account for 10–12% of global greenhouse gas emissions, while in China they account for 16–17% [3], and in the United States, 6–7% [4]. China has made a commitment to reduce its carbon dioxide emission intensity (per unit GDP) by 40 to 50% compared with the 2005 level by 2020 [5].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Agricultural Carbon Emissions and Their Spatiotemporal Changes in China, 1997–2016

Huang

Wang

et al. 2019

IJERPH

140

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Despite achieving remarkable development, China’s agricultural economy has been under severe environmental pressure. Based on previous studies, the present study further considers the sources of agricultural carbon emissions in depth, estimates China’s agricultural carbon emissions from 1997 to 2016, and analyzes the agricultural pollution faced by China and its provinces. The study estimates the amount and intensity of agricultural carbon emissions in China from five carbon sources—agricultural materials, rice planting, soil N2O, livestock and poultry farming, and straw burning—and analyzes their spatial and temporal characteristics. The following results were obtained: (1) between 1997 and 2016, the amount of agricultural carbon emissions in China generally increased, while the intensity of agricultural carbon emissions decreased; (2) in the same period, the amount of carbon emissions from each category of carbon source generally increased, with the exception of rice planting; however, the amount of emissions fluctuated; (3) the amount and intensity of carbon emissions varied greatly among provinces; (4) the emissions from different categories of carbon source showed different concentration trends and agglomeration forms; (5) China’s agricultural carbon emissions showed obvious spatial correlation, which overall was high–high agglomeration; however, its carbon emissions gradually weakened, and the spatial agglomeration of agricultural carbon emissions in each province changed between 1997 and 2016.

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Section: Introductionmentioning

confidence: 99%

Assessment of Agricultural Carbon Emissions and Their Spatiotemporal Changes in China, 1997–2016

Huang

Wang

et al. 2019

IJERPH

140

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“…It is generally accepted that the use of low-carbon technology in agriculture is of great significance to agricultural progress. Reducing carbon in agriculture and improving soil nutrients and productivity of agroecosystems through the use of organic fertilizers and low-carbon technologies are crucial for developing sustainable, low-carbon, and climate-adaptive agriculture [27,28].…”

Section: Obstacles To the Diffusion Of Low-carbon Agriculturalmentioning

confidence: 99%

The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion

2020

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Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development. Based on evolutionary game theory, this paper establishes a game model among agricultural enterprises, government, and farmers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders. The impact of innovation subsidies, carbon taxes, and adoption subsidies on low-carbon agricultural innovation diffusion is simulated using Matlab software. The results show that the government’s reasonable subsidies and carbon taxes for agricultural enterprises and farmers can increase the enthusiasm of agricultural enterprises and farmers to participate in low-carbon agriculture. This study can be used as a basis for the government to formulate more targeted policies to promote the diffusion of low-carbon agricultural innovation.

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“…China’s agricultural activities produce a higher proportion of carbon than any other country [ 13 ], greenhouse gases from agricultural production accounting for 10–12% of global greenhouse gas emissions, compared to 16–17% in China [ 13 , 14 , 15 , 16 ], 17% of greenhouse gases, 50% of CH 4 , and 92% of N 2 O came from the agricultural sector in China [ 17 , 18 , 19 ]. China has decided to reduce its CO 2 emission intensity by 40–50% by 2020 from the 2005 level [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China

Pang

et al. 2020

IJERPH

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The study of the carbon emission intensity of agricultural production is of great significance for the formulation of a rational agricultural carbon reduction policy. This paper examines the regional differences, spatial–temporal pattern and dynamic evolution of the carbon emission intensity of agriculture production from 1991 to 2018 through the Theil index and spatial data analysis. The results are shown as follows: The overall differences in carbon emission intensity of agriculture production presents a slightly enlarging trend, while the inter-regional differences in carbon emissions intensity is decreasing, but the intra-regional difference of carbon emissions intensity presented an expanding trend. The difference in carbon emission intensity between the eastern and central regions is not obvious, and the difference in carbon emission intensity in the western region shows a fluctuating and increasing trend. The overall differences caused by intra-regional differences; the average annual contribution of intra-regional differences is 67.84%, of which the average annual contribution of western region differences is 64.24%. The carbon emission intensity of agricultural production in China shows a downward trend, with provinces with high carbon emission intensity remaining stable, while provinces with low intensity are expanding. The Global Moran’s I index indicates that China’s carbon emission intensity of agricultural production shows a clear trend of spatial aggregation. The agglomeration trend of high agricultural carbon emission remains stable, and the overall pattern of agricultural carbon emission intensity shows a pattern of increasing differentiation from east to west.

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Relationship between climate change and low-carbon agricultural production: A case study in Hebei Province, China

Cited by 70 publications

References 36 publications

Assessment of Agricultural Carbon Emissions and Their Spatiotemporal Changes in China, 1997–2016

Assessment of Agricultural Carbon Emissions and Their Spatiotemporal Changes in China, 1997–2016

The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion

Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China

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