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This paper aims to investigate the locational determinants of the craft beer industry in Budapest, Hungary, between 2009 and 2022.

The authors use various count data models to determine the relationship between the number of microbreweries and locational factors.

The authors find that demand and supply-side factors, including income, unemployment, level of education, population density and the number of local businesses, affect the number of craft breweries. Whilst agglomeration effects proxied by breweries per capita in a district have a positive coefficient, the number of breweries in neighbouring districts is not significant. In addition, the authors do not observe any negative impact of COVID-19-related restrictions. The picture of a still-evolving, resilient craft beer sector emerges from our analysis.

To the best of the authors’ knowledge, this is one of the first specific studies on the craft beer sector in the Central and Eastern European region and the first to evaluate the location choices of craft breweries in Hungary within a municipality using an up-to-date data set. The authors’ analysis covers 14 years, from the early stages of craft brewery proliferation in Budapest until 2022, testing several hypotheses with respect to the location choices of these businesses.

The purpose of this paper is to examine the pattern, duration and country-level determinants of global agri-food export competitiveness of 23 major global agri-food trading countries.

A large panel data set is compiled to facilitate assessment of the pattern, duration and country-level determinants of global agri-food export competitiveness using a revealed comparative advantage index.

The results suggest that the duration of revealed comparative advantage is heterogeneous at the agri-food product level. Long-term survival rates as revealed by the comparative advantage indices are among the highest for the Netherlands, France, Belgium, the USA, Argentina and New Zealand. The level of economic development, the share of agricultural employment, subsidies to agriculture and differentiated consumer agri-food products increase the likelihood of failure in the duration of comparative advantage, while the abundance of agricultural land and export diversification reduce that likelihood.

The framework is conceptually innovative in how it models the likelihood of failure in the duration of comparative advantage and assesses implications. Export competitiveness is a crucial factor in long-term global farm business survival as it fosters opportunities for business prosperity on global markets.

This article aims to investigate the financial constraints and nonlinearity of farm size growth.

Farm size growth is measured with land, labor and output using data from the Farm Accountancy Data Network (FADN) for Hungary and Slovenia. A dynamic panel model is applied to assess financial constraints and nonlinearity of farm size growth.

Results show that, except for land in Slovenia and output in Hungary, liquidity constraints are less important for farm size growth than endogenous factors based on farm size growth expectations and steady farm size restructuring. Smaller farms are growing faster than larger ones. The hypothesis that a higher level of subsidies would increase farm size is not supported for Hungary. When farms reach a certain size, the land area of the largest farms increases. Farm debts in Hungary are linked with land growth and in Slovenia with output growth.

Further research on the impact of liquidity constraints and subsidies can be conducted at a disaggregate farm-type level to examine whether there is variability in the underlying interlinkages at the farm-type specialization level.

The implication that farm size growth is dependent on initial size and that smaller farms are growing faster than bigger ones indicates that it is not necessary to favor the fastest growing smaller farms thus supports the application of a non-discriminatory farm size policy for observing farm size structural changes.

The dynamic panel econometric model that incorporates cash flow as a measure of financial constraints provides insight into farm size growth in cross-country comparison in relation to potential farm liquidity constraints, farm debt and the nonlinearity of farm size, which information is of relevance to policy makers and practitioners.

The literature argues on ambiguous impacts of different types of the common agricultural policy (CAP) subsidies on farm technical efficiency (TE). The purpose of this paper is to estimate and analyse the TE and the impact of the CAP subsidies on the TE of wine farms in Hungary using the farm accountancy data network data set in the period 2013–2019.

The authors use stochastic frontiers analysis (SFA) models to estimate the TE scores for the Hungarian wine farms with four wine farm-level inputs in terms of agricultural land, labour, capital and intermediate consumption. The TE scores are explained by the CAP subsidies and economic wine farm size. The different SFA models were applied with robustness tests to investigate the drivers of the TE values of wineries.

Like for Hungarian farms in general, the distribution of the wine farm structure is a dual with a greater number of smaller wine farms and a smaller number of bigger wine farms. The agricultural land, capital and intermediate consumption are significantly positively associated with the wine farm TE. With higher capital intensity wine farm TE increase. The results imply that the CAP subsidies decrease the TE of the Hungarian wine farms, whereas economic farm size increase.

To the best of the authors’ knowledge, this is one of the first specific efficiency studies on the wine sector in the Central and Eastern European region and the first one for Hungary to evaluate the TE at wine farm level and to assess the impact of CAP subsidies and economic farm size on wine farm (in)efficiency to apply production technologies and use farm resources. This study is among the first that applied the fixed-effects stochastic frontier model at the wine farm level to measure the drivers of the TE scores.

The purpose of this study is to explore the determinants of investment decisions of Estonian farms after the transition to market economy and accession to the European Union (EU), in the period 2006–2019.

The paper employs Estonian Farm Accountancy Data Network (FADN) individual farm-level data from the period 2006–2019, and standard and augmented accelerator investment models. Generalised methods of moments (GMM) and bias-corrected least-squares dummy variables (LSDVC) regressions were used to estimate parameters of these models.

In the considered period, farm investments were positively affected by sales growth, investment subsidies and the cash flow. Decomposition of cash flow into volatile, market income related part, and more stable, farm subsidies related part indicated that investments do not depend on market income part of cash flow. Instead, the stable part of the cash flow (farm subsidies) had a significant and positive effect on investments. This suggests that credit rationing could be present in the EU agriculture, and it depends on the farm subsidies not market income of farms.

Despite the wealth of literature on the investment behaviour of farmers, this article is the first attempt to decompose farm cash flow into stable (farm subsidies) and volatile (market income) parts to explain the role of subsidies as a part of cash flow in credit rationing.

A growing body of literature analyzes eco-innovation in the wine industry, specifically focusing on the internal and external factors that contribute to sustainable innovation in wineries. The purpose of this study is to classify wineries according to their eco-innovation strategy and investigate variations in innovation groups concerning networking and socio-demographic characteristics.

The authors use an original firm-level survey conducted between June 2022 and January 2023 to study eco-innovation practices of 234 Hungarian winemakers using four groups of indicators: marketing, organizational, process and product innovations. The authors apply principal component analysis and cluster analysis to identify eco-innovation dimensions and group wineries. The authors also investigate the relationship between eco-innovation strategies, determinants and firm-specific characteristics.

The estimations identify two innovation modes: with Cluster 1 (characterized by innovative wineries) surpassing Cluster 2 (comprising less innovative wineries) in all aspects. Marketing and process innovations were more widespread than product and organizational innovations. The results confirm the importance of firm and manager characteristics, corporate organization and size, age and education of management influence innovation activity.

The cross-sectional nature of the survey provides a snapshot of the wine industry. To identify changing trends, it is beneficial to conduct follow-up research and ongoing monitoring for a more comprehensive understanding of the dynamics of eco-innovation over time. The study offers valuable information about the Hungarian wine sector, but generalization of results to other geographic areas or wine-producing regions should be careful. The unique characteristics of particular regions might have a different effect on the dynamics of eco-innovation. Comparative studies across different wine regions or countries may reveal regional variations in eco-innovation strategies and the impact of local contexts.

The study highlights the priority of human elements, such as the commitment of owners and managers to sustainability in driving force for innovation. The ability of businesses to absorb new knowledge and the exchange of information within organizations is crucial in promoting innovation. Considering the results of the survey, managers should proactively strive to improve knowledge transfer and information sharing within their organizations and establish cooperative alliances with universities, research institutes, suppliers, industry bodies and associations and global consultancy firms. Such knowledge-based cooperation can counterweight the innovative inertia of the micro and small enterprises representing the Hungarian wine sector.

To address the issue of “innovative inertia” faced by micro and small businesses in the wine sector, policymakers may implement focused supports, such as educational initiatives and grants, to augment their understanding and promote sustainable innovation. They should initiate intra- and inter-cluster connections and cooperations. Incentives, such as tax reduction or financial support, may stimulate wineries to introduce eco-innovation practices. Policymakers could also streamline the process of obtaining funding or grants for wineries interested in investing in cutting-edge solutions, such as renewable energy or advanced cultivation technologies to accelerate the adoption of sustainable practices.

This study contributes to the eco-innovation literature by providing insights into the drivers and practices of wineries in Hungary. The results emphasize the significance of networking, sharing of knowledge and firm/manager-specific characteristics in influencing eco-innovation in the wine industry.

We analyze the role of monetary policy shocks on food inflation in Hungary from January 2007 to March 2023, including the period of the COVID-19 crisis and the Russo–Ukrainian war.

We use quantile regression with three different specifications. The structural breaks in the time series and the monetary policy’s lag in response are also taken into account. We use the M0 money supply and the three-month Hungarian National Bank (MNB) deposit rate as monetary measures to check the robustness of our findings.

We find that neither the money supply nor the exchange rate affected food inflation across quantiles. In the case of high food price inflation, reducing short-term government bond yields may be an effective solution. Household final consumption affected food prices in the lower quantiles, and the global food price index similarly affected Hungarian food inflation. The results are robust to different specifications.

This research has limitations as follows: while Hungary’s food prices provide a valuable case study, expanding to more countries is advisable; although quantile regression captures details, its reliability for non-linear relationships is questionable; additionally, considering various global food price indicators can enhance result robustness.

The paper contributes to the longstanding political debate regarding the effectiveness of monetary policy in stabilizing food inflation. The findings emphasize the importance of considering both domestic and global factors in formulating policy responses to food price dynamics.

The purpose of this paper is to provide an adaptedz gravity model to measure the impact of the number of the internet users on food industry trade between developed Organisation for Economic Cooperation and Development countries using both panel and cross‐sectional data.

The impact of the internet users on food industry export growth and levels, and on food industry trade reorientation, and whether the internet has altered the effect of distance on food industry trade, are analyzed using adapted gravity model.

The positive, significant and over time increasing effect of the internet on food industry exports confirm that the internet reduces market‐specific entry costs for food industry exports. The significant positive effect pertained to the internet is found in the importing countries. The significant positive effects on food industry exports are found for the country's economic size and bilateral common features and proximities. The internet mitigates the countries proximities, but increased the distance between the countries.

The empirical contribution to the research of new connections made with the key elements of trade theory with focus on the effect of the internet on food industry trade.

The purpose of this paper is to investigate the impacts of institutional quality (IQ) in exporting and importing countries on agro-food exports from the world's leading emerging economies: Brazil, the Russian Federation, India and China (BRIC countries).

Measuring is based on using the gravity trade model and econometric panel data analysis for the period 1998-2009.

Agro-food exports from the BRIC countries, particularly Brazil and China, have increased. The Russian Federation has experienced stagnating and volatile patterns. Brazil and India have strengthened market shares in the existing importing markets, while the Russian Federation has experienced severe deterioration. The export of existing products is more important than of new products. Agro-food exports are positively associated with IQ and the size of the gross domestic product in exporting and importing countries, but negatively with distance.

Among IQ variables, the focus is on the indices of legal structure and security of property rights and freedom to trade internationally in agro-food importing countries and the BRIC exporting countries.

Different institutions and their quality can affect agro-food exports differently. The impact of institutions is not uniform across product groups.

This paper adds the impacts of IQ on agro-food exports. Except for processed products for final household consumption, agro-food exports from the BRIC countries are positively associated with the quality of the legal structure, the security of property rights and the freedom to trade internationally as IQ in exporting and importing countries.

The purpose of this paper is to analyse farmers' contracting choice in the Hungarian milk sector, employing transaction cost economics framework.

The authors focus on some key determinants of farmers' contracting choices using milk producer survey data. Different semi parametric and semi non parametric discrete choice models are applied to investigate the type of contracts, duration, number of contractors, incentives provided in the contract and business history of farmers and buyers.

Main results confirm that contract‐specific investment is a strong predictor explaining contract choice and contract design. Although trust is an important factor, the authors' estimations however report some counterintuitive results. Farm size is also significantly associated with contracts and contractual arrangements. Vulnerability to opportunistic behaviour also depends on partner change switching costs and farmers' bargaining power.

This is a recent study that investigates the role of contracts between producers and processors, significantly contributing to the limited literature on contractual relationships in transition agricultures.