Q16 - Agricultural R&D; Agricultural Technology; Biofuels; Agricultural Extension ServicesReturn

Artificial intelligence (AI) significantly enhances agricultural production by optimizing inputs, minimizing waste and improving management practices. However, the capability of AI to foster sustainable agriculture remains under scrutiny. This study investigates the impact of AI on the relationship between agriculture and biodiversity loss across 132 countries from 2013 to 2021. Employing a negative binomial (NB) regression model, our findings reveal that traditional agricultural practices contribute to an increase in the number of threatened species. Conversely, integrating AI in smart farming practices appears to mitigate biodiversity loss. Additionally, our analysis confirms that climate change plays a substantial role in species depletion. Strategic use of AI on agricultural land not only boosts productivity and reduces operational risks but also enhances environmental stewardship. It is crucial, therefore, that policies are crafted and refined to better align AI initiatives with sustainability objectives.

The article investigates the connections between the prices of biofuels and many traded commodities and other relevant assets in Europe, USA and Brazil. The analysis uses a comprehensive dataset covering price data for 32 relevant traded titles over the period 2003-2015. Main contribution of this article is a combination of minimum spanning tree and hierarchical tree approaches with expert economic understanding of biofuels market leading to identification of price connections in a complex trading system. Our analysis of mutual price connections discovers the major defining features of world leading biofuels markest over the last decade. We provide characteristics of main bioethanol and biodiesel markets with respect to technical and local features of the production and consumption of particular biofuels.

The interconnections within food, biofuel and fossil fuel markets are first described in the context of biofuels technologies and economic policy framework. Consequently, the econometric analysis consisting of Johansen cointegration, error correction model, vector autoregression and Granger causality is applied to price series of 12 biofuel related commodities. While a number of equilibrium relationships are found across the examined markets suggesting their interconnection, we do not obtain a persuasive confirmation of the thesis that biofuels clearly lead to food shortages via the increase in prices of basic food commodities used in the production of biofuels.

The average level of debts of agricultural enterprises in the CR is several times higher than in countries with established market economy. The main source is so-called transformation debts connected with the transformation of ownership and enterprise structure in the Czech agriculture after 1989. This specific form of farm indebtedness is a great debt burden with very different impacts on the particular categories of agricultural enterprises. A specific debt structure is characteristic of cooperative farms. The existence of many of them is directly endangered by bankruptcies in connection with unsettled payable liabilities from the ownership transformation towards entitled persons-non-members. Higher subsidies after the CR accession to the EU may con- siderably improve the financial situation of Czech agricultural enterprises, but the debt burden from transformation will remain a great handicap for a longer time and it will constrain the increase in competitiveness of many of these enterprises.