How do climatic change, cereal crops and livestock production interact with carbon emissions? Updated evidence from China

Rehman, Abdul; Ma, Hua; Ahmad, Munir; Öztürk, İlhan; Chishti, Muhammad Zubair

doi:10.1007/s11356-021-12948-0

Cited by 54 publications

(17 citation statements)

References 66 publications

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“…There is a significant relationship in the short and long term between the increase in carbon emissions with the agricultural value-added in Turkey [77] and China [78]. A similar situation happened in Malaysia, where increased economic development (gross domestic product, financial development, industrial value-added, agricultural value-added, and manufacturing value-added) resulted in a rise in CO2 emissions and the country's average temperature [79].…”

Section: Hypotheses 1c (H1c) Agricultural Exports' Value Will Increas...mentioning

confidence: 87%

Global Challenges and Responses: Agriculture, Economic Globalization, and Environmental Sustainability in Central Asia

et al. 2022

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Economic globalization (EG) accelerates very fast in Central Asia. This could cause environmental degradation, according to the environmental Kuznets curve (EKC) hypothesis. The study aims to determine how the EG of agriculture impacts environmental sustainability, and to test the EKC hypothesis on the agricultural sector in six Central Asian countries. Particularly, some main hypotheses were proposed using secondary data from Kazakhstan, Kyrgyzstan, Mongolia, Tajikistan, Turkmenistan, and Uzbekistan from 1994 to 2019. This study uses five explanatory variables: agricultural exports value (EXP), agriculture forestry and fishing value-added (AVA), the exchange rate (EXR), total natural resource rents (RENT), and external debt stocks (DEBT), while the dependent variable in this study is the CO2 emissions from on-farm energy use (EMS), temperature changes (TEMP), and forest fires (FIRE). These data are analyzed using panel data regression. As a result, AVA and RENT raise EMS; EXC raises TEMP but lowers EMS; DEBT raises TEMP but can lower FIRE. Hence, we propose recommendations to improve this condition, including a clear roadmap, enhanced partnerships, and regional and international support.

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Section: Hypotheses 1c (H1c) Agricultural Exports' Value Will Increas...mentioning

confidence: 87%

Global Challenges and Responses: Agriculture, Economic Globalization, and Environmental Sustainability in Central Asia

et al. 2022

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“…The methods for measuring carbon emissions of animal husbandry are relatively mature, mainly the IPCC emission factor method and the life cycle method (10,60,64). The lifecycle method requires the measurement of carbon emissions of animal husbandry from the whole life-cycle of livestock in six segments, including feed growing, feed processing, livestock feeding, gastrointestinal fermentation, manure fermentation, and livestock slaughter.…”

Section: Methodology Emissions Factor Methodsmentioning

confidence: 99%

“…Besides, they also have a key constraint to green and low-carbon economic development (1,2). Excessive carbon emissions exacerbate global warming and deteriorating environmental quality (3)(4)(5), obligating humans to face severe risks, such as economic stagnation, health damage, resource shortages, and extreme weather events (6)(7)(8)(9)(10). According to the Food and Agriculture Organization of the United Nations (FAO), animal husbandry has contributed to 9% of anthropogenic carbon emissions while emitting 37% of anthropogenic methane, 65% of anthropogenic nitrous oxide, and 64% of anthropogenic nitrogen (11) 1 .…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Impact of Livestock Structure on Carbon Emissions of Animal Husbandry: A Sustainable Way to Improving Public Health and Green Environment

Shi

Irfan

Liu

et al. 2022

Front. Public Health

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Carbon emissions of animal husbandry have been gaining increasing attention due to their high share in global carbon emissions. In this regard, it is essential to assess the regional differences, dynamic evolution patterns, convergence characteristics, and the impact of livestock structure on carbon emissions of animal husbandry. Using data from 30 provincial administrative regions from 2000 to 2018 in China, this study employs the Thiel index method, kernel density analysis, and convergence analysis to quantify the impact of livestock structure on carbon emissions of animal husbandry. The statistical results reveal that carbon emissions of animal husbandry exhibit a rising and declining trend. Specifically, the carbon emissions of animal husbandry are highest in agricultural areas (with a declining trend), followed by agro-pastoral areas (with a declining trend), and the pastoral areas (with a rising trend). It is further revealed that there are no δ convergence and β convergence of carbon emissions of animal husbandry. Finally, essential and useful policy recommendations are put forward to inhibit carbon emissions of animal husbandry.

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“…Weather changes have already affected global food production, according to the study. Also, climate change has a negative impact on agricultural productivity (Chandio et al 2020 , 2022 ; Satari Yuzbashkandi and Khalilian 2020 ; Rehman et al 2021a ). All of these findings point to the soybean as one of the most important grains and oil crops, and any change in soybean production under future climatic projections will have a national and worldwide impact on food and edible oil security.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards a sustainable food production: modelling the impacts of climate change on maize and soybean production in Ghana

Ntiamoah

Appiah-Otoo

et al. 2022

Environ Sci Pollut Res

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The Ghanaian economy relies heavily on maize and soybean production. The entire maize and soybean production system is low-tech, making it extremely susceptible to environmental factors. As a result, climate change and variability have an influence on agricultural production, such as maize and soybean yields. Therefore, the study’s ultimate purpose was to analyze the influence of CO 2 emissions, precipitation, domestic credit, and fertilizer consumption on maize and soybean productivity in Ghana by utilizing the newly constructed dynamic simulated autoregressive distributed lag (ARDL) model for the period 1990 to 2020. The findings indicated that climate change enhances maize and soybean yields in Ghana in both the short run and long run. Also, the results from the frequency domain causality showed that climate change causes maize and soybean yield in the long-run. These outcomes were robust to the use of the ordinary least squares estimator and the impulse response technique. The findings show that crop and water management strategies, as well as information availability, should be considered in food production to improve resistance to climate change and adverse climatic circumstances.

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How do climatic change, cereal crops and livestock production interact with carbon emissions? Updated evidence from China

Cited by 54 publications

References 66 publications

Global Challenges and Responses: Agriculture, Economic Globalization, and Environmental Sustainability in Central Asia

Global Challenges and Responses: Agriculture, Economic Globalization, and Environmental Sustainability in Central Asia

Analysis of the Impact of Livestock Structure on Carbon Emissions of Animal Husbandry: A Sustainable Way to Improving Public Health and Green Environment

Towards a sustainable food production: modelling the impacts of climate change on maize and soybean production in Ghana

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