Greenhouse Gas Emissions and Economic Performance in EU Agriculture: An Empirical Study in a Non-Linear Framework

Zafeiriou, Eleni; Mallidis, Ioannis; Γαλανόπουλος, Κωνσταντίνος; Arabatzis, Garyfallos

doi:10.3390/su10113837

Cited by 42 publications

(45 citation statements)

References 39 publications

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“…Growth of net value added and farm income per 1 ha of farmland caused a reduction of CH 4 and N 2 O emissions. Meanwhile, on dairy cow farms, dependencies between economic results and gas emissions are different, confirming the results of Zafeirou et al [19]. In this case, as value added and farm income increase, so do CH 4 and N 2 O emissions.…”

Section: Discussionsupporting

confidence: 84%

Production Profile of Farms and Methane and Nitrous Oxide Emissions

Kołoszko-Chomentowska

Sieczko

Trochimczuk

2021

Energies

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The negative impact of agricultural production on the environment is manifested, above all, in the emission of greenhouse gases (GHG). The goals of this study were to estimate methane and nitrous oxide emissions at the level of individual farms and indicate differences in emissions depending on the type of production, and to investigate dependencies between greenhouse gas emissions and economic indicators. Methane and nitrous oxide emissions were estimated at three types of farms in Poland, based on FADN data: field crops, milk, and mixed. Data were from 2004–2018. Statistical analysis confirmed the relationship between greenhouse gas emissions and economic performance. On milk farms, the value of methane and nitrous oxide emissions increased with increased net value added and farm income. Milk farms reached the highest land productivity and the highest level of income per 1 ha of farmland. On field crops farms, the relationship between net value added and farm income and methane and nitrous oxide emissions was negative. Animals remain a strong determinant of methane and nitrous oxide emissions, and the emissions at milk farms were the highest. On mixed farms, emissions result from intensive livestock and crop production. In farms of the field crops type, emissions were the lowest and mainly concerned crops.

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Section: Discussionsupporting

confidence: 84%

Production Profile of Farms and Methane and Nitrous Oxide Emissions

Kołoszko-Chomentowska

Sieczko

Trochimczuk

2021

Energies

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“…Furthermore, agricultural land also affects the agricultural carbon emissions, such as per capita land use area [19], agricultural land use [20] and farmland conversion [21,22]. Besides, there also exists a close relationship between agricultural income and carbon emissions [23].…”

Section: Influencing Factors Of Agricultural Carbon Emissionsmentioning

confidence: 99%

“…Although Fujian's agricultural production situation differs from that of the United States, the composition of agricultural carbon emissions is consistent. Therefore, combining the above research with other references [17,23], this paper mainly calculates the agricultural carbon emissions according to the five types of carbon emission sources: (1) CO 2 emissions produced from agricultural land use; (2) CH 4 emissions caused by rice paddies; (3) CH 4 emissions caused by livestock breeding; (4) N 2 O emissions triggered by crop production; (5) N 2 O emissions triggered by livestock breeding. All carbon emission sources and their coefficients in agricultural sector in Fujian are listed in Table 1.…”

Section: Selection Of Measurement Indicatorsmentioning

confidence: 99%

Spatial-Temporal Characteristics of the Driving Factors of Agricultural Carbon Emissions: Empirical Evidence from Fujian, China

Chen

et al. 2019

Energies

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With the development of agricultural modernization, the carbon emissions caused by the agricultural sector have attracted academic and practitioners’ circles’ attention. This research selected the typical agricultural development province in China, Fujian, as the research object. Based on the carbon emission sources of five main aspects in agricultural production, this paper applied the latest carbon emission coefficients released by Intergovernmental Panel on Climate Change of the UN (IPCC) and World Resources Institute (WRI), then used the ordered weighted aggregation (OWA) operator to remeasure agricultural carbon emissions in Fujian from 2008–2017. The results showed that the amount of agricultural carbon emissions in Fujian was 5541.95 × 103 tonnes by 2017, which means the average amount of agricultural carbon emissions in 2017 was 615.78 × 103 tonnes, with a decrease of 13.13% compared with that in 2008. In terms of spatial distribution, agricultural carbon emissions in the eastern coastal areas were less than those in the inland regions. Among them, the highest agricultural carbon emissions were in Zhangzhou, Nanping, and Sanming, while the lowest were in Xiamen, Putian, and Ningde. In addition, this paper selected six influencing variables, the research and development intensity, the proportion of agricultural labor force, the added value of agriculture, the agricultural industrial structure, the per capita disposable income of rural residents, and per capita arable land area, to clarify further the impacts on agricultural carbon emissions. Finally, geographically- and temporally-weighted regression (GTWR) was used to measure the direction and degree of the influences of factors on agricultural carbon emission. The conclusion showed that the regression coefficients of each selected factor in cities were positive or negative, which indicated that the impacts on agricultural carbon emission had the characteristics of geospatial nonstationarity.

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“…In the last decade, circular economy (CE) has become one of the most discussed issues in the European and non-European political debate [1], as a result of continuous and increasingly evident phenomena related to climate change and the growing emissions of greenhouse gas (GHG) [2].…”

Section: Introductionmentioning

confidence: 99%

From Waste to Product: Circular Economy Applications from Sea Urchin

et al. 2021

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The classic linear economy model based on extraction, processing, production and waste no longer seems to be functional in a world where natural resources are starting to run out. For these reasons, the aim of this study is to analyse the transition from a linear system to the circular economy, providing an example of reuse of sea urchin waste for the creation of new eco-sustainable products. From a comprehensive literature review, it is provided a framework of all the properties deriving from marine collagen and other inedible parts of the sea urchin. Thanks to its characteristics, marine collagen is a valid support for production of biomedical devices, dermal implants, cosmetic and pharmaceutical products. To make their core business effective, companies should not consider only the financial perspectives but also the social and environmental aspects. Therefore, this work aims at analysing these three frameworks using the Triple-Layered Business Model Canvas, which is a useful tool to support the creative exploration of sustainable and innovative business models. The reuse of sea urchin waste is a clear example of how a circular economy model can be adopted for companies to be successful. Through this virtuous model, they can be projected towards a green economy based on a more eco-sustainable vision.

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Greenhouse Gas Emissions and Economic Performance in EU Agriculture: An Empirical Study in a Non-Linear Framework

Cited by 42 publications

References 39 publications

Production Profile of Farms and Methane and Nitrous Oxide Emissions

Production Profile of Farms and Methane and Nitrous Oxide Emissions

Spatial-Temporal Characteristics of the Driving Factors of Agricultural Carbon Emissions: Empirical Evidence from Fujian, China

From Waste to Product: Circular Economy Applications from Sea Urchin

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