Tag: Q12

ENERGY CROPS: ASSESSMENTS IN THE EUROPEAN UNION AGRICULTURAL REGIONS THROUGH MACHINE LEARNING APPROACHES

Vítor João Pereira Domingues MARTINHO

Coordinator Professor with Habilitation, Agricultural School (ESAV) and CERNAS-IPV Research Centre, Polytechnic Institute of Viseu (IPV), Portugal

vdmartinho@esav.ipv.pt

Abstract

There is an enormous potential to produce bioenergy from agriculture, forestry and other land use in the European Union (EU) farms. The agricultural sector in the EU member-states has conditions to increase the contributions of renewable energies through better use of the residues and the production of energy crops. Nonetheless, the profitability of these alternative agricultural outputs, in some circumstances, and the need for land for food production, for example, have been obstacles to effective positioning of the EU farms as sources of bioenergy. From this perspective, this study intends to assess the current context of the energy crops in the farms of the EU agricultural regions and identify a model that supports the prediction of these frameworks. For that, data from the Farm Accountancy Data Network (FADN) were considered for the year 2020. This statistical information was analysed through machine learning approaches, namely those associated with multilayer perceptron (MLP) algorithms from the artificial neural networks (ANN) methodologies. The results from these data show that energy crops do have not relevant importance in the European Union farms. On the other hand, when these crops appear, they are produced by larger farms, with greater competitiveness and which receive more subsidies.

Keywords: Agriculture 4.0, Artificial Neural Networks, Multilayer Perceptron

JEL classification: C45, Q12, Q42

pp. 29-42

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TERRITORIAL DISTRIBUTION OF LAND RESOURCE POTENTIAL OF AGRICULTURAL USE IN WORLD COUNTRIES

Natalia TRUSOVA

Professor, Department of Business Consulting and International Tourism, Dmytro Motornyi Tavria State Agrotechnological University

nv.trusova6607@tanu.pro

Sergey KALCHENKO

Professor, Department of Business Consulting and International Tourism, Dmytro Motornyi Tavria State Agrotechnological University

skalchenko@uoa.com.nl

Nataliia POCHERNINA

Associate Professor, Department of Business Consulting and International Tourism, Dmytro Motornyi Tavria State Agrotechnological University

natali.pochernina@uoa.com.nl

Oleg KRAVETS

Associate Professor, Department of Management, Dmytro Motornyi Tavria State Agrotechnological University

ov.kravets@lund-univer.eu

Yurii HURBYK

Associate Professor, Department of Economics and Hotel and Restaurant Business, Bogdan Khmelnitsky Melitopol State Pedagogical University

prof.hurbyk@nanyang-uni.com

Abstract

The article considers the territorial distribution of agricultural land and resource potential. From the standpoint of implementing the integrated value of the ecological and economic component of land resources, a methodological approach to the monetary valuation of agricultural land as one of the regulatory tools of territorial distribution of land in the world. The systematic approach to the formation of market turnover of agricultural lands and the formation of land resource potential of agricultural enterprises is substantiated. Indicators for assessing the land resource potential of agricultural use from the standpoint of the development of land relations in agriculture are presented. The method of normative monetary valuation of a separate agricultural land plot has been modified by changing its estimated value by an integrated indicator. The indicators for assessing the efficiency of land use are systematized. The territorial distribution of the main categories of lands in the world is analyzed. The share of arable land suitable for growing crop products in the world is determined. The dynamics of agricultural land areas by regions of the world and their reserve volume suitable for the development in the world are given. The ecological and agrochemical condition of the wholesale coverage of agricultural lands in Ukraine and in the natural and climatic zones of Polissya, Forest-Steppe and Steppe has been determined. The value of agricultural land in Europe and Ukraine is estimated.

Keywords: agricultural lands, agricultural production, monetary valuation of land plots, crop products, ecology.

JEL classification: Q12, Q13, Q16, Q17

 pp. 257-276

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THE LABOUR MARKET IMPACT IN THE DOURO VITICULTURE: A FUZZY CLUSTER DISTRIBUTION APPROACH

Cátia SANTOS

Research fellow. University of Trás-os-Montes e Alto Douro (UTAD) and Centre for Transdisciplinary Development Studies (CETRAD)

cisantos@utad.pt

Aníbal GALINDRO

Research fellow. University of Trás-os-Montes e Alto Douro (UTAD) and Centre for Transdisciplinary Development Studies (CETRAD)

anibalg@utad.pt

Ana MARTA-COSTA

Corresponding author. Assistant Professor. University of Trás-os-Montes e Alto Douro (UTAD) and Centre for Transdisciplinary Development Studies (CETRAD), Portugal, www.utad.pt

amarta@utad.pt

Abstract

Demography and the labour market dynamics are recognized as a key factor for the development of a region. Performing labour market insights can be even more disjointed on mountain and steep slope regions where the hand labour is usually sparse and scarce. This study intends to find the labour influence into the core variables of a vineyard productive system such as production or overall revenues and realize their importance in the sustainability of the Douro region. Simultaneously, the sensibility of each variable upon external shocks was determined. The data was collected performing face-to-face inquiries directly from 50 Douro vine-farms and the Fuzzy Average with Fuzzy Cluster Distribution methodology was used for rank the variables. The results have shown that the labour costs seem to be the most influential variable on the vineyard production followed up by the steepness and terrain orientation. Nonetheless, the familiar labour also gains some prominence when the revenues are selected as the core variable. This study showed that the labour force plays an important role on the grape farm output and due to the current demographic trend in the region, the hand labour availability might be an alarming problem that threatens the sustainability of the Douro.

Keywords: Douro Region, fuzzy cluster distribution, labour influence, population dynamics, sustainable development

JEL classification: J43, Q12, Q19
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