A significant part of the common agricultural policy (CAP) focuses on implementing environmentally friendly practices, which have been evaluated in many studies. However, these analyses do not usually consider spatial spillovers that may concern pollution and biodiversity, as well as participation in policy schemes. Most studies evaluate national environmental policies at the macroeconomic level, focusing on cities. However, the majority of natural resources are in rural districts, and environmental policy is mainly implemented at the local level, where most of the budgets for environmental protection are decided. Thus, in this paper, our first objective is to assess the cost-effectiveness of Poland's environmental policy schemes, combining local expenditures at the county level with the CAP's green schemes. Additionally, we investigate the spatial (neighbourhood) effects of environment quality and the policy, as well as their mutual interactions. First, the environmental quality at the county level is proxied by the composite environmental quality index (CEQI); second, the Spatial Durbin Model (SDM) with endogenous covariates is estimated. Third, the interactions among the policy's spatial effects are explored using the structural equation model (SEM). We find that the CAP's green component not only positively affects the environmental quality in the long term but also generates positive spillovers that have been hitherto underestimated.

Willard Cochrane was the first to introduce the notion that farmers are on a market treadmill, which, in spite of their constant efforts to improve productivity, wears away any profits that might result. Therefore, the essence of the treadmill is that agricultural income does not grow in line with the increase in productivity. Although reasons of this phenomenon are economic in nature, it has caused a serious social problem, i.e., the relative deprivation of farmers’ income. Solving this problem is crucial for ensuring sustainable farming in its social dimension. The aim of the article was, firstly, to answer the question to what extent the concept of the market treadmill in agriculture is still valid for European countries; and secondly, to develop a sectoral model of agricultural income that would test whether the Common Agricultural Policy (CAP) has been successfully struggling with the Cochrane’s treadmill. The authors carried out panel research in a group of 25 countries over the years 1980–2015 in various subperiods. The main conclusion was that the traditionally understood market treadmill has lost significance in Europe, which might be advocated as a long-term value-added aspect of the Common Agricultural Policy (CAP).

The aim of this study is to identify the correlation between the amount of greenhouse gas emissions, added value from agriculture and economic growth in the Visegrad Group countries. Four countries of Central Europe were studied the Czech Republic, Hungary, Poland and Slovakia in 2008–2019. Due to the objectives of the article, it was decided to use the panel model. The temporal scope of the research covers the years 2008–2019, i.e., two economic periods: 2008–2014 (a downward trend, including agriculture), and 2015–2019 (an upward trend). Greenhouse gas emissions are positively correlated with value added from agriculture and economic growth. The increase in the level of these variables stimulates of the amount of greenhouse gas emissions in the countries of the Visegrad Group. The analysis of the eco-efficiency of greenhouse gas emissions in agriculture, in relation to the gross added value produced, shows that the country with the least pollution of this value was Hungary, followed by Slovakia. The Czech Republic was third, and Poland was the last. The results of the research can be treated as a premise for a strategy for the development of agriculture, limiting the negative effects of its industrial development for more sustainable development.

The aim of this article is to indicate the rationale for the development of the bioeconomy in selected EU countries depending on their overall level of economic development. The research was based on four highly developed countries, i.e., Germany, France, Finland and Denmark, and four medium-developed countries, i.e., Poland, Hungary, Czech Republic, and Slovakia for the period 2001–2018. Renewable energy consumption, biomass and agricultural production were analysed as determinants of the bioeconomy development. The question was also answered whether differences in terms of measures determining the level of bioeconomy development between countries with different levels of economic development during the studied period are decreasing or increasing, using sigma (σ)-convergence coefficients. It is shown that the development of the bioeconomy of the studied countries is related to their level of economic development. In the middle economically developed countries, real opportunities for the development of the bioeconomy are noted, through a high share of agriculture in national income; and in highly developed countries—high spending on research and development and the growth of eco-innovation, which contributes to maintaining a development advantage between these groups of countries.

Fine particulate matter (PM_2.5) emissions are an important global issue as air pollutants lead to approximately 7 million deaths per year (World Health Organization). In an attempt to combat this global threat, countries in the European Union (EU) allocate relatively large funds for environmental policies. The main goal of this paper is to assess the long-term efficiency of the EU countries’ environmental policy in reducing the pressure of particulates pollution on the natural environment. For this purpose, multilevel panel regression models based on seminal within–between specification are used. The models are run for a panel of 25 EU countries for the years 2004–2016. In the investigations, we tried to capture the effect of the share of utilized agricultural area (UAA) in non-urban areas of the analyzed countries, as it may potentially influence policy efficiency. It was found that environmental spending in all main categories (pollution abatement, biodiversity, R&D, and environmental protection) had a significant impact on decreasing pollution pressure; however, the policy was more efficient in countries which had a lower share of UAA in their non-urban areas. The study emphasized that the impact of “pollution abatement” expenditure may be underestimated in basic panel models.