The Polish agricultural economy has a chance to dynamically develop and influence the innovation policy in the EU model of bioeconomy. The research aims to assess the spatial diversification of the level and structure of spending funds for two Rural Development Program (RDP) measures: agri-environment-climate measures (AECM) and organic farming scheme (OFS) aimed at supporting proenvironmental forms of agricultural management in the context of bioeconomy development. The EU financial perspective determined the time range for 2014–2020. The study was conducted on the example of Poland in two spatial scales: regional (province) and local (community). The analysis was based on partial indicators, which were then subjected to the standardisation procedure and included in the total as a synthetic indicator of the utilisation of RDP 2014–2020 funds aimed at supporting proenvironmental forms of farming. The following information was included in the evaluation: the number of farms, the size of utilised agricultural area (UAA) covered by support and the amounts of payments made under the two analysed RDP measures. In the research, the size and distribution of farms benefiting from AECM and OFS were determined. Besides, the relationship between funds absorption and socioeconomic development, as well as natural and non-natural conditions, were identified. The synthetic indicator of AECM/OFS usage showed a strong spatial differentiation, determined by the impact of several conditions: the level of socioeconomic development, the level of agriculture development, natural conditions of agriculture, land with significant natural and ecological values, and proenvironmental forms of land use on farms. Spatial diversification is more often the result of the impact of proenvironmental or natural-ecological factors than of socioeconomic conditions, or the level of agricultural development.
Organic farming is part of a sustainable development model; at the same time it is becoming a prerequisite for the multifunctional development of rural areas. The main aim of this study is to identify the state and analyse changes in the development of organic agriculture in Poland as well as to present the possibilities for its development. The time horizon of the study covers the years 2003 to 2015. The basis of the research was an analysis of the literature, the Report of the Chief Inspectorate of Trade Quality of Agriculture and Food (IJHARS), and national empirical research; it also includes an analysis of the results of surveys carried out on organic farms in the summer of 2016, as well as our own observations. The study showed that in the years 2003-2015 Poland saw a rapid increase in the number and area of organic farms due in part to the introduction of EU subsidies. Spatial analysis of the proportions of farms by voivodeship shows that in 2015 most were recorded in Warmia-Mazuria, Podlasie and West Pomerania. Similar to the increase in the number of organic farms, the years 2003-2015 saw an increased area of organic farmland. Poland is second in the world in terms of growth in the area of organic farms. In the years 2003-2014 the average size of an organic farm remained at about 25 ha and was higher than the average size of conventional farms (10 ha). In 2014 the crop structure was dominated by fodder plants (35.8%), and meadows and pastures (31.5%). In terms of livestock production, cattle and horses had the biggest share.
The global climate, ecological, and energy crisis has increased the interest in the green economy (GE) concept that aims to resolve environmental problems while promoting economic growth, social stabilization, and creating favorable conditions for sustainable economic growth. The implementation of GE solutions requires an assessment system for evaluating the extent to which business operations are consistent with GE principles. In this study, the environmental, economic, and social dimensions of the quality of life were identified, and agricultural factors were considered to determine the progress in the implementation of GE principles. The correlation between the success of GE implementation and the utilization of environmental funding provided by the Common Agricultural Policy (CAP) was analyzed. A composite GE index composed of 19 variables was developed for this purpose with the use of Hellwig’s taxonomic measure of development. The strength of the correlation between GE implementation and the utilization of green payments under the CAP was evaluated by calculating Pearson’s correlation coefficient. Polish rural areas were analyzed at the level of Local Administrative Units (LAU). The study revealed spatial variations in GE development, and it demonstrated that local projects financed from EU funds had a positive impact on the environment. However, the utilization of EU support schemes differs considerably across Polish regions. The analysis revealed that agri-environmental-climate measures (spending per ha) were most strongly correlated with the economic dimension of the quality of life. Southern Poland and suburban areas differed considerably from Eastern Poland where green payments were less effective in promoting GE development. The results of this study are useful for planning, land management, and the development of socioeconomic development strategies at the municipal, regional, and local level.
Demographic potential is a particularly important consideration in border areas that are peripheral regions of a country. The aim of this study was to identify differences in the quantitative demographic potential of Polish–German and Polish–Lithuanian transborder regions, as well as the extent to which natural population increase and net migration influence the demographic potential of border regions. An essential element of the research was the analysis of the importance of borders on shaping the quantitative demographic potential. The study relied on the zeroed unitarization method and the method proposed by Webb. The study revealed considerable spatial variation in the quantitative demographic potential of the analyzed regions at LAU 1 (Local Administrative Units) on the background of NUTS 0 (Nomenclature of Territorial Units for Statistics) and NUTS 2. The highest values were noted in urban units, which accounted for 11.0% of all evaluated units. The areas characterized by the lowest demographic potential represented 16.5% of the total number of the analyzed units, which should be regarded as a positive outcome. Most of these border regions were situated in Germany and Lithuania. Demographic potential is an important determinant of social and economic growth; therefore, the results of this study can be used to diagnose problems in border regions and implement the required regional policies.
Regional development is a complex process that can be analysed in various contexts, including environmental, social and economic factors. Variations in the levels of development are naturally observed across countries and regions, but they play a special role in trans-border regions. The aim of this study is to investigate differences in the level of development of two Polish voivodships (Warmia and Mazury, and Podlasie) and two Lithuanian counties (Marijampolė and Alytus) which are trans-border regions (NUTS 4 level). The study was conducted by analysing three subordinate criteria, namely environmental, social and economic factors, as well as the overall development of the evaluated regions with the use of the analytical hierarchy process and technique for order preference by similarity to ideal solution methods. The evaluated trans-border regions are characterised by a predominance of rural areas and considerable variations in development. The entire area is characterised by high natural value. This is an important observation because the condition of the natural environment is a key determinant of well-being, and it directly influences the quality of life. The analysis revealed considerable demographic problems, mainly in Lithuanian regions, resulting from low population growth and a negative net migration rate which influence population structure. Disproportions in regional development call for regional policies that are adapted to local needs and resources.
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