Selecting low-carbon technologies and measures for high agricultural carbon productivity in Taihu Lake Basin, China

Xiong, Chuanhe; Wang, Guiling; Su, Weizhong; Gao, Qun

doi:10.1007/s11356-021-14272-z

Cited by 24 publications

(14 citation statements)

References 20 publications

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“…It was also found that maize not only had higher grain yields but also possessed much smaller carbon emissions than wheat (Hou et al 2021 ). Low-carbon agricultural technologies should be adapted to local grain farming methods and form a regionally differentiated system (Xiong et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production

2022

Environ Sci Pollut Res

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Agricultural carbon mitigation is critical for China to encourage the sustainable development of agriculture and achieve the carbon peak by 2030 and carbon neutrality by 2060. By exploring the impact mechanism of the carbon emission intensity (CEI) of grain production, we can effectively promote the low-carbon transformation of agricultural production and ensure the sustainable development of the food supply. This article analyzes the temporal and spatial evolution of the total carbon emission (TCE) and CEI of staple crops and adopts a dynamic spatial model to explore the influence mechanism and spatial spillover effects of the CEI of grain production based on evidence from China’s major grain-producing provinces from 2002 to 2018. The results indicate that the TCEs of rice, wheat, and maize fluctuate upward and that the CEI in most producing areas decreases with low-low agglomeration (or high-high agglomeration). Among the influencing factors, technology is the main factor reducing CEI. Technical efficiency, urbanization, industrial structure, agricultural agglomeration, and agricultural trade openness can be transmitted to neighboring areas through spatial spillover mechanisms. The spatial spillover mechanisms are resource flow, technology spillover, and policy learning, producing the demonstration effect and siphon effect. Based on our findings, agricultural technology innovation and popularization, urbanization, optimization of the agricultural structure, financial payments, and factor flow among regions should be improved to encourage the low carbon transformation of grain production.

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Section: Introductionmentioning

confidence: 99%

The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production

2022

Environ Sci Pollut Res

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“…Pathak and Aggarwal (2012) systematically studied the cost, classification, and improvement directions of agricultural low-carbon technologies, taking wheat and rice as an example in the Indus-Ganges plain of India, which provides an important reference for China [ 14 ]. The 10 agricultural low-carbon technologies classified by Xiong et al (2021) are fertilizer reduction, organic fertilizer mixed with chemical fertilizer, soil testing, application of controlled-release fertilizer, deep fertilizer application, breeding new varieties, promoting conservation tillage, alternate drainage, water-drought rotation (rice-oilseed rape/rice-wheat), and pesticide reduction [ 16 ].…”

Section: Resultsmentioning

confidence: 99%

“…Numerous scholars have worked on specific agricultural low-carbon technologies and their impacts. Agricultural low-carbon technologies are a collection of technologies that can reduce agricultural carbon emissions in the production stage of agricultural products (cradle-to-farm gate), such as biochar technology, the in-use of agricultural waste, and cropping systems [ 14 , 15 , 16 ]. Biochar technology, as an emerging low-carbon technology in agriculture, can improve soil fertility, reduce agricultural carbon emissions, and is economically feasible [ 17 , 18 ].…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

A Study on the Impact of Low-Carbon Technology Application in Agriculture on the Returns of Large-Scale Farmers

Huang

Kong

et al. 2022

IJERPH

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The relationship and mechanism between agricultural low-carbon technology application and farm household returns are not yet clear, especially the lack of evidence from developing countries. This paper takes large-scale farming households in Jiangxi Province, China, from 2019 to 2020 as the research object, and obtains relevant data from field research to explore the intrinsic impact of agricultural low-carbon technology application on the returns of large-scale farming households. Based on the relevant theoretical analysis, the division dimensions of agricultural low-carbon technologies were proposed, and agricultural low-carbon technologies were subdivided into ten specific low-carbon technologies according to six dimensions: tillage system, breeding, fertilization, irrigation, medicine application, and waste treatment. Relevant questions were designed and researched to obtain data on the application status of low-carbon technologies in agriculture and the income cost status of large-scale farmers. Based on the theoretical analysis, the research hypotheses were proposed, and an empirical analysis was conducted based on the obtained data from large-scale farmers. The application of seven low-carbon technologies in agriculture: conservation tillage system, direct sowing technology, selection of compound fertilizer/organic fertilizer/controlled-release fertilizer, soil formula fertilization technology, deep fertilization/irrigation fertilization, sprinkler/drip irrigation/wet irrigation/intermittent irrigation, and straw resourceization significantly improved the income level of large-scale farmers. Furthermore, the application of biodegradable agricultural membranes, biopesticides, and new pesticide-controlled release technologies did not have significant effects on the income level of large-scale farmers, due to their low application and penetration rate. Based on the findings of the paper, the government should strengthen the promotion and subsidies of agricultural low-carbon technologies, especially those technologies that have no significant impact on large-scale farmers’ income, such as biodegradable agricultural membranes, biopesticides, and new pesticide controlled-release technologies, so as to achieve a win-win situation of reducing carbon emissions and increasing farmers’ income.

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“…Similar conclusions have been drawn in studies conducted in other countries. Xiong et al (2021) proved that decreasing the total amount of fertilizers and increasing their efficiency are among the most important low-carbon technologies and management measures of high agricultural carbon productivity in Taihu Lake Basin, China. Koondhar et al (2021b) proved that farmers in Pakistan should reduce chemical fertilizer application and increase the use of energy from renewable sources in order to increase grain food production, while reducing carbon emission.…”

Section: Resultsmentioning

confidence: 99%

“…It is also important to optimize animal nutrition and efficient waste management, which have a positive impact on reducing emissions. A wide range of mitigation technologies and measures was reported and discussed by Eyuboglu and Ezar (2020) and Xiong et al (2021). The literature also highlights the potential to improve overall productivity by reducing emissions per unit of product in some systems (Johnson et al 2007).…”

Section: Literature Reviewmentioning

confidence: 99%

What drives low-carbon agriculture? The experience of farms from the Wielkopolska region in Poland

Borychowski

Grzelak

Popławski

2021

Environ Sci Pollut Res

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Because of global environmental problems, low-carbon agriculture has gained increasing importance both in developed and developing countries. Hence, there is a need to find ways to develop more efficient agricultural systems. The purpose of this article is to identify the drivers of low-carbon agriculture on farms in the Wielkopolska region (in Poland). We aimed to take an original approach to investigate low-carbon agriculture with a unique set of different economic and environmental variables and contribute to the literature, which is not very extensive in terms of microeconomic research, including research on farmers in the Wielkopolska region. Therefore, we employed a multiple-factor measurement model for structural equation modeling (SEM) of data collected individually from 120 farms in 2020. As a result, we formulated the following conclusions: the increasing productivity of factors (land, labor, and capital) have a positive effect on low-carbon farming, just as increasing fertilizer and energy efficiency. Moreover, thermal insulation is also important for low-carbon agriculture, with efficiency of fertilizer use being the most important factor. We believe that the issues of farm use of fertilizers and thermal insulation of buildings should be more broadly included in energy policy, both at the national and the European Union (EU) levels. Some of these factors however are already present in the common agricultural policy (CAP) for 2021–2027.

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Selecting low-carbon technologies and measures for high agricultural carbon productivity in Taihu Lake Basin, China

Cited by 24 publications

References 20 publications

The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production

The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production

A Study on the Impact of Low-Carbon Technology Application in Agriculture on the Returns of Large-Scale Farmers

What drives low-carbon agriculture? The experience of farms from the Wielkopolska region in Poland

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