The greening of the European common agricultural policy by linking the European-wide obligation of set-aside with voluntary agri-environmental measures on a regional scale

2006 ◽  
Vol 9 (6) ◽  
pp. 509-524 ◽  
Author(s):  
Gert Berger ◽  
Harald Kaechele ◽  
Holger Pfeffer
Keyword(s):  
Agricultural Policy ◽  
Common Agricultural Policy ◽  
Regional Scale ◽  
Environmental Measures

Impacts of greening measures and flat rate regional payments of the Common Agricultural Policy on Scottish beef and sheep farms

2015 ◽  
Vol 153 (4) ◽  
pp. 676-688 ◽  
Author(s):  
B. VOSOUGH AHMADI ◽  
S. SHRESTHA ◽  
S.G. THOMSON ◽  
A.P. BARNES ◽  
A.W. STOTT
Keyword(s):  
Agricultural Policy ◽  
Common Agricultural Policy ◽  
Farm Level ◽  
Flat Rate ◽  
Farming Communities ◽  
Level Data ◽  
Level Model ◽  
Environmental Measures ◽  
Beef Suckler ◽  
Farm Types

SUMMARYThe latest Common Agricultural Policy (CAP) reforms could bring substantial changes to Scottish farming communities. Two major components of this reform package, an introduction of environmental measures into the Pillar 1 payments and a move away from historical farm payments towards regionalized area payments, would have a significant effect on altering existing support structures for Scottish farmers, as it would for similar farm types elsewhere in Europe where historic payments are used. An optimizing farm-level model was developed to explore how Scottish beef and sheep farms might be affected by the greening and flat rate payments under the current CAP reforms. Nine different types of beef and sheep farms were identified and detailed biophysical and financial farm-level data for these farm types were used to parameterize the model. Results showed that the greening measures of the CAP did not have much impact on net margins of most of the beef and sheep farm businesses, except for ‘Beef Finisher’ farm types where the net margins decreased by 3%. However, all farm types were better off adopting the greening measures than not qualifying for the greening payments through non-compliance with the measures. The move to regionalized farm payments increased the negative financial impact of greening on most of the farms but it was still substantially lower than the financial sacrifice of not adopting greening measures. Results of maximizing farm net margin, under a hypothetical assumption of excluding farm payments, showed that in most of the mixed (sheep and cattle) and beef suckler cattle farms the optimum stock numbers predicted by the model were lower than actual figures on farm. When the regionalized support payments were allocated to each farm, the proportion of the mixed farms that would increase their stock numbers increased whereas this proportion decreased for beef suckler farms and no impact was predicted in sheep farms. Also under the regionalized support payments, improvements in profitability were found in mixed farms and sheep farms. Some of the specialized beef suckler farms also returned a profit when CAP support was added.

scholarly journals NATURA 2000 NETWORK AN OPPORTUNITY FOR RURAL SPACE SUSTAINABLE DEVELOPMENT

1970 ◽  
Vol 62 ◽  
Author(s):  
Oana Branzan
Keyword(s):  
Agricultural Policy ◽  
Common Agricultural Policy ◽  
Natura 2000 ◽  
Natura 2000 Network ◽  
Sustainable Rural Development ◽  
Natural Protected Areas ◽  
Rural Space ◽  
Geographical Regions ◽  
Agricultural Policy Reform ◽  
Environmental Measures

Natura 2000 is a European network for natural protected areas. Common Agricultural Policy reform include a series of agri-environmental measures that have to be adapted to Natura 2000 conservation management requirements. Romanian territory could be characterized by a rich natural areas diversity and a series of habitats specified for 5 bio-geographical regions. Through agri-environmental measures a series of financial advantages could be pointed out for the farmers who chose to protect the environment or to sustain indirectly the Natura 2000 sites, for a common sustainable rural development. The Common Agricultural Policy have to be adapted to present demands and the implementation of the Natura 2000 network will be different for each rural space.

Cherneha O. B., Chepurnova A. V. COMPARATIVE ANALYSIS OF UKRAINE AND POLAND FOOD SECURITY LEVELS

2019 ◽  
pp. 9-17
Keyword(s):  
Food Security ◽  
Comparative Analysis ◽  
Rural Development ◽  
Agricultural Policy ◽  
Common Agricultural Policy ◽  
Public Spending ◽  
Development Program ◽  
Rural Development Program ◽  
Security Levels ◽  
The Eu

Objective. The purpose of the article is to compare the levels and mechanisms of food security management in Ukraine and Poland, to identify the main factors influencing the processes of its formation and to determine the directions of increasing the level of Ukraine food security. Methods. The scientific results of the study were obtained using the following methods: theoretical generalization and comparison (for the study of meaningful aspects of the definition of «food security»), analysis and synthesis (for comparative analysis of Ukraine and Poland food security levels), abstract-logical method (for establishing the links between the level of economic development of countries and the levels of their food security and determining the directions of increasing the Ukraine level of food security). Results. On the basis of a comparative analysis of Ukraine and Poland food security levels, a significant gap in Ukraine’s provision of food security has been identified. Thus, with respect to all food security components identified by FAO, except for the «use» of sanitary and safe drinking water, Poland has reached far ahead of Ukraine. It has been found that for the period 2012–2018, the value of the Global Food Security Index for Ukraine decreased by 2.1 due to a decrease in the level of affordability and availability of food, while the Polish side increased its position on GFSI by 2.8 due to the increase in affordability and availability of food in the country. It has been found that the decisive influence on the level of food security in Poland, as well as high ranking in the ranking is carried out by the EU Common Agricultural Policy (CAP), the implementation of the Polish Rural Development Program and significant public spending on agriculture. It has been determined that the main directions for improving the level of food security of Ukraine should be: lifting the moratorium on the sale of agricultural land; financing the agri-food sector not only through public spending but also through EU programs; creation and implementation of the National Rural Development Program; full and unconditional implementation of Government programs on EU integration; adaptation to the EU Common Agricultural Policy standards.

scholarly journals A Possible Role of Copernicus Sentinel-2 Data to Support Common Agricultural Policy Controls in Agriculture

Agronomy ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 110
Author(s):  
Filippo Sarvia ◽  
Elena Xausa ◽  
Samuele De Petris ◽  
Gianluca Cantamessa ◽  
Enrico Borgogno-Mondino
Keyword(s):  
Agricultural Policy ◽  
Common Agricultural Policy ◽  
Observation Data ◽  
Key Factor ◽  
Ndvi Time Series ◽  
Earth Observation Data ◽  
Four Levels ◽  
Nw Italy ◽  
Sentinel 2

Farmers that intend to access Common Agricultural Policy (CAP) contributions must submit an application to the territorially competent Paying Agencies (PA). Agencies are called to verify consistency of CAP contributions requirements through ground campaigns. Recently, EU regulation (N. 746/2018) proposed an alternative methodology to control CAP applications based on Earth Observation data. Accordingly, this work was aimed at designing and implementing a prototype of service based on Copernicus Sentinel-2 (S2) data for the classification of soybean, corn, wheat, rice, and meadow crops. The approach relies on the classification of S2 NDVI time-series (TS) by “user-friendly” supervised classification algorithms: Minimum Distance (MD) and Random Forest (RF). The study area was located in the Vercelli province (NW Italy), which represents a strategic agricultural area in the Piemonte region. Crop classes separability proved to be a key factor during the classification process. Confusion matrices were generated with respect to ground checks (GCs); they showed a high Overall Accuracy (>80%) for both MD and RF approaches. With respect to MD and RF, a new raster layer was generated (hereinafter called Controls Map layer), mapping four levels of classification occurrences, useful for administrative procedures required by PA. The Control Map layer highlighted that only the eight percent of CAP 2019 applications appeared to be critical in terms of consistency between farmers’ declarations and classification results. Only for these ones, a GC was warmly suggested, while the 12% must be desirable and the 80% was not required. This information alone suggested that the proposed methodology is able to optimize GCs, making possible to focus ground checks on a limited number of fields, thus determining an economic saving for PA and/or a more effective strategy of controls.

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