scholarly journals MEASURE LANDSCAPE DIVERSITY WITH LOGICAL SCOUT AGENTS

Author(s):  
E. Wirth ◽  
G. Szabó ◽  
A. Czinkóczky

The Common Agricultural Policy reform of the EU focuses on three long-term objectives: viable food production, sustainable management of natural resources and climate action with balanced territorial development. To achieve these goals, the EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity. Current paper introduces an agent-based method to calculate the potential of landscape diversity. The method tries to catch the nature of heterogeneity using logic and modelling as opposed to the traditional statistical reasoning. The outlined Random Walk Scouting algorithm registers the land cover crossings of the scout agents to a Monte Carlo integral. The potential is proportional with the composition and the configuration (spatial character) of the landscape. Based on the measured points a potential map is derived to give an objective and quantitative basis to the stakeholders (policy makers, farmers).

Author(s):  
E. Wirth ◽  
G. Szabó ◽  
A. Czinkóczky

The Common Agricultural Policy reform of the EU focuses on three long-term objectives: viable food production, sustainable management of natural resources and climate action with balanced territorial development. To achieve these goals, the EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity. Current paper introduces an agent-based method to calculate the potential of landscape diversity. The method tries to catch the nature of heterogeneity using logic and modelling as opposed to the traditional statistical reasoning. The outlined Random Walk Scouting algorithm registers the land cover crossings of the scout agents to a Monte Carlo integral. The potential is proportional with the composition and the configuration (spatial character) of the landscape. Based on the measured points a potential map is derived to give an objective and quantitative basis to the stakeholders (policy makers, farmers).


Author(s):  
E. Wirth ◽  
Gy. Szabó ◽  
A. Czinkóczky

With the rapid increase of the world's population, the efficient food production is one of the key factors of the human survival. Since biodiversity and heterogeneity is the basis of the sustainable agriculture, the authors tried to measure the heterogeneity of a chosen landscape. The EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity, nevertheless exact measurements and calculations apart from statistical parameters (standard deviation, mean), do not really exist. In the present paper the authors’ goal is to find an objective, dynamic method that measures landscape heterogeneity. It is achieved with the so called agent-based modelling, where randomly dispatched dynamic scouts record the observed land cover parameters and sum up the features of a new type of land. During the simulation the agents collect a Monte Carlo integral as a diversity landscape potential which can be considered as the unit of the ‘greening’ measure. As a final product of the ABM method, a landscape potential map is obtained that can serve as a tool for objective decision making to support agricultural diversity.


Author(s):  
E. Wirth ◽  
Gy. Szabó ◽  
A. Czinkóczky

With the rapid increase of the world's population, the efficient food production is one of the key factors of the human survival. Since biodiversity and heterogeneity is the basis of the sustainable agriculture, the authors tried to measure the heterogeneity of a chosen landscape. The EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity, nevertheless exact measurements and calculations apart from statistical parameters (standard deviation, mean), do not really exist. In the present paper the authors’ goal is to find an objective, dynamic method that measures landscape heterogeneity. It is achieved with the so called agent-based modelling, where randomly dispatched dynamic scouts record the observed land cover parameters and sum up the features of a new type of land. During the simulation the agents collect a Monte Carlo integral as a diversity landscape potential which can be considered as the unit of the ‘greening’ measure. As a final product of the ABM method, a landscape potential map is obtained that can serve as a tool for objective decision making to support agricultural diversity.


2019 ◽  
Vol 67 ◽  
pp. 06026
Author(s):  
Oleksii Klok ◽  
Olha Loseva ◽  
Oleksandr Ponomarenko

The article studies theoretical and methodological bases of the strategic management of the development of administrative territories, considers the essence of strategic management and formulates the advantages of using it in management of administrative territory. Based on the analysis of the key provisions of the EU regional policy, the strategy of “smart specialization” is considered as the most common approach to territorial development. Using the experience of the countries of the European Union as a basis, a BPMN diagram, describing the conceptual bases for the formation of a competitive territory strategy, was built. Practical approaches to the formation of strategies for the development of administrative territories operating in Ukraine, regulatory acts, in particular, that had a direct impact on the formation of the existing model of strategic territorial management, were analyzed. The main requirements to the content of the strategic plan were considered and the list of key provisions and analytical methods (socio-economic analysis, comparative analysis, SWOT-analysis, PESTLE-analysis, sociological analysis) was formulated. Using the comparative legal analysis of the experience of the European Union as a basis, a number of features can be highlighted that must be taken into account in the process of forming the administrative territory development strategy.


2021 ◽  
Vol 13 (5) ◽  
pp. 2675
Author(s):  
Elena Jianu ◽  
Ramona Pîrvu ◽  
Gheorghe Axinte ◽  
Ovidiu Toma ◽  
Andrei Valentin Cojocaru ◽  
...  

Reducing inequalities for EU citizens and promoting upward convergence is one of the priorities on the agenda of the European Commission and, certainly, inequality will be a very important public policy issue for years to come. Through this research we aim to investigate EU labor market inequalities, reflected by the specific indicators proposed for Goal 8 assumed by the 2030 Agenda for Sustainable Development, based on cluster analysis for all the 27 Member States. The research results showed encouraging results from the perspective of convergence in the EU labor market, but also revealed a number of analyzed variable effects that manifested regional inequalities that were generated in the medium and long term. Based on the observations made, we want to provide information for policy-makers, business practitioners, and academics so as to constitute solid ground for identifying good practices and proposing to implement policies aimed at reducing existing inequalities and supporting sustainable development.


2021 ◽  
Vol 11 (12) ◽  
pp. 5367
Author(s):  
Amirarsalan Rajabi ◽  
Alexander V. Mantzaris ◽  
Ece C. Mutlu ◽  
Ozlem O. Garibay

Governments, policy makers, and officials around the globe are working to mitigate the effects of the COVID-19 pandemic by making decisions that strive to save the most lives and impose the least economic costs. Making these decisions require comprehensive understanding of the dynamics by which the disease spreads. In traditional epidemiological models, individuals do not adapt their contact behavior during an epidemic, yet adaptive behavior is well documented (i.e., fear-induced social distancing). In this work we revisit Epstein’s “coupled contagion dynamics of fear and disease” model in order to extend and adapt it to explore fear-driven behavioral adaptations and their impact on efforts to combat the COVID-19 pandemic. The inclusion of contact behavior adaptation endows the resulting model with a rich dynamics that under certain conditions reproduce endogenously multiple waves of infection. We show that the model provides an appropriate test bed for different containment strategies such as: testing with contact tracing and travel restrictions. The results show that while both strategies could result in flattening the epidemic curve and a significant reduction of the maximum number of infected individuals; testing should be applied along with tracing previous contacts of the tested individuals to be effective. The results show how the curve is flattened with testing partnered with contact tracing, and the imposition of travel restrictions.


Author(s):  
Marco Civico

AbstractThe objective of this paper is to develop an simulation model able to test different language education orientations and their consequences for the EU population in terms of linguistic disenfranchisement, that is, the inability of citizens to understand EU documents and parliamentary discussions should their native language(s) no longer be official. I will focus on the impact of linguistic distance and language learning. Ideally, this model would be a tool to help EU policy makers make informed decisions about language practices and education policies, taking into account their consequences in terms of diversity and linguistic disenfranchisement. The model can be used to force agents to make certain choices in terms of language skills acquisition. The user can then go on to compare different scenarios in which language skills are acquired according to different rationales. The idea is that, by forcing agents to adopt certain language learning strategies, the model user can simulate policies promoting the acquisition of language skills and get an idea of their impact. In this way, the model allows not only to sketch various scenarios of the evolution of language skills among EU citizens, but also to estimate the level of disenfranchisement in each of these scenarios.


2021 ◽  
Vol 13 (7) ◽  
pp. 3687
Author(s):  
Vincent Smith ◽  
Justus H. H. Wesseler ◽  
David Zilberman

This perspective discusses the impact of political economy on the regulation of modern biotechnology. Modern biotechnology has contributed to sustainable development, but its potential has been underexplored and underutilized. We highlight the importance of the impacts of regulations for investments in modern biotechnology and argue that improvements are possible via international harmonization of approval processes. This development is urgently needed for improving sustainable development. Policy makers in the European Union (EU) in particular are challenged to rethink their approach to regulating modern biotechnology as their decisions have far ranging consequences beyond the boundaries of the EU and they have the power to influence international policies.


2019 ◽  
Vol 11 (15) ◽  
pp. 4173 ◽  
Author(s):  
Ramona Pîrvu ◽  
Cristian Drăgan ◽  
Gheorghe Axinte ◽  
Sorin Dinulescu ◽  
Mihaela Lupăncescu ◽  
...  

The impact of implementation of cohesion policy on the sustainable development of EU countries is of great interest and presents a number of actual challenges. This research aims to evaluate the impact and the effects of the cohesion policy among the Member States using hierarchical clustering analysis in order to identify how the selected variables affect the sustainable development adopted models. The variables used in the analysis were selected on the basis of official data provided by the European Commission, SDG Index and Dashboards Reports and the EU Cohesion Monitor. The results of the research have led to the grouping of the 28 Member States in a number of six clusters, identifying performers but also those countries that have a high potential for sustainable development or which require increased attention to be sustained in recovering existing gaps. The results of the study can be a starting point for policy makers and other stakeholders involved in their efforts to support sustainable development through effective and effective policies.


2012 ◽  
Vol 3 (4) ◽  
pp. 477-487 ◽  
Author(s):  
Katja Biedenkopf

This article argues that European Union (EU) risk regulation of hazardous substances in electrical and electronic equipment (EEE) was both a trigger and formative factor in the development of similar Chinese regulation. The attractiveness and global interdependence of the EU market in EEE impelled a response from Chinese policy-makers. Fostering the domestic industry's global competitiveness was one of the driving factors behind Chinese substance restriction regulation. Additionally, symbolic emulation and growing domestic environmental problems related to waste EEE infl uenced the Chinese policy agenda. Chinese substance restriction rules are not, however, a mere copy of EU regulation. The limited domestic capacity of the Chinese economy, administration, and legal structure to adopt policies similar to those of the EU explains, to a large extent, the emergence and partial persistence of differences between EU and Chinese risk regulation. In the course of the implementation and evaluation of Chinese substance restriction regulation, lessons learned from the EU’s experience increasingly contributed to shaping the policy, leading to growing convergence.


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