Agricultural Economics, 2021 (vol. 67), issue 11
Agricultural production trends towards carbon neutrality in response to the EU 2030 Green Deal: Economic and environmental analysis in horticultureOriginal Paper
Alessandro Scuderi, Mariarita Cammarata, Ferdinando Branca, Giuseppe Timpanaro
Agric. Econ. - Czech, 2021, 67(11):435-444 | DOI: 10.17221/145/2021-AGRICECON 
The European Green Deal to tackle climate change sets emission reduction targets for 2050. Particular attention has been paid to the agricultural sector, where there is a strong need to reduce carbon emissions and re-establish the natural carbon cycles. The concept of carbon neutrality is emerging in a scenario where it is necessary to reduce carbon dioxide (CO2) emissions from cultivation to near zero. The quantification of carbon emissions was carried out by the carbon footprint (CF) of conventional, organic and zero residue potato cultivation in Sicily. In order to provide farmers and consumers with answers regarding the most sustainable...
One or many European models of agriculture? How heterogeneity influences income creation among farms in the European UnionOriginal Paper
Łukasz Kryszak, Thomas Herzfeld
Agric. Econ. - Czech, 2021, 67(11):445-456 | DOI: 10.17221/154/2021-AGRICECON
Agricultural structures are quite heterogeneous across the European Union (EU), and it is likely that the underlying technology also differs across regions. In this article, we claim that the heterogeneity of agriculture across the EU affects the process of income creation (i.e. the relative importance of the factors of farm income differ for different agricultural models). A panel of farms representative for 125 regions reporting to the EU Farm Accountancy Data Network (FADN) during the period from 2007 to 2018 is used. In this article, those regions are grouped into three clusters. A system generalised method of moments (GMM) panel estimator is applied...
The butterfly effect in the price of agricultural products: A multidimensional spatial-temporal association miningOriginal Paper
Yan Guo, Xiaonan Hu, Zepeng Wang, Wei Tang, Deyu Liu, Yunzhong Luo, Hongxiang Xu
Agric. Econ. - Czech, 2021, 67(11):457-467 | DOI: 10.17221/128/2021-AGRICECON
With the advent of the era of big data, data mining methods show their powerful information mining ability in various fields, seeking the association information hidden in the data, which is convenient for people to make scientific decisions. This paper analyses the butterfly effect in the agricultural product industry chain from the perspective of producer and consumer by using multidimensional time and space theory and proposes a new price forecasting method. We consider that the price change of agricultural products is not only affected by the balance of market supply and demand but also by the factors of time and space. Taking the pig industry...
Agricultural market information in developing countries: A literature reviewReview
Agus Dwi Nugroho
Agric. Econ. - Czech, 2021, 67(11):468-477 | DOI: 10.17221/129/2021-AGRICECON
In most developing countries, the agricultural industry has the potential to alleviate poverty at a faster rate compared to other sectors. As such, many governments have initiated policies and programme to improve agricultural performance. However, some of these projects have not achieved success because the local agricultural markets are often controlled by a small group of stakeholders who tend to hide information in the market despite having huge market power. This paper aimed to determine the issues and impacts of the lack of market information in developing countries and to provide strategies for solving such problems. Results show that the presence...