scholarly journals The Impact of Economic Factors on Voter Preferences: The Case of Turkey

2021 ◽  
Author(s):  
Barış ARMUTCU ◽  
Ahmet TAN
Keyword(s):  
Economic Factors ◽  
Voter Preferences ◽  
The Impact

scholarly journals Landscape pattern and economic factors’ effect on prediction accuracy of cellular automata-Markov chain model on county scale

2020 ◽  
Vol 12 (1) ◽  
pp. 626-636
Author(s):  
Wang Song ◽  
Zhao Yunlin ◽  
Xu Zhenggang ◽  
Yang Guiyan ◽  
Huang Tian ◽  
...  
Keyword(s):  
Land Use ◽  
Markov Chain ◽  
Cellular Automata ◽  
Markov Model ◽  
Prediction Accuracy ◽  
Driving Mechanism ◽  
Economic Factors ◽  
Chain Model ◽  
The Impact ◽  
County Scale

AbstractUnderstanding and modeling of land use change is of great significance to environmental protection and land use planning. The cellular automata-Markov chain (CA-Markov) model is a powerful tool to predict the change of land use, and the prediction accuracy is limited by many factors. To explore the impact of land use and socio-economic factors on the prediction of CA-Markov model on county scale, this paper uses the CA-Markov model to simulate the land use of Anren County in 2016, based on the land use of 1996 and 2006. Then, the correlation between the land use, socio-economic data and the prediction accuracy was analyzed. The results show that Shannon’s evenness index and population density having an important impact on the accuracy of model predictions, negatively correlate with kappa coefficient. The research not only provides a reference for correct use of the model but also helps us to understand the driving mechanism of landscape changes.

scholarly journals Exploring optimal control of epidemic spread using reinforcement learning

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Abu Quwsar Ohi ◽  
M. F. Mridha ◽  
Muhammad Mostafa Monowar ◽  
Md. Abdul Hamid
Keyword(s):  
Reinforcement Learning ◽  
Economic Crisis ◽  
Transmission Rate ◽  
Optimal Solution ◽  
Short Length ◽  
Reproduction Rate ◽  
Economic Factors ◽  
Epidemic Spread ◽  
The Impact ◽  
Individual Human

AbstractPandemic defines the global outbreak of a disease having a high transmission rate. The impact of a pandemic situation can be lessened by restricting the movement of the mass. However, one of its concomitant circumstances is an economic crisis. In this article, we demonstrate what actions an agent (trained using reinforcement learning) may take in different possible scenarios of a pandemic depending on the spread of disease and economic factors. To train the agent, we design a virtual pandemic scenario closely related to the present COVID-19 crisis. Then, we apply reinforcement learning, a branch of artificial intelligence, that deals with how an individual (human/machine) should interact on an environment (real/virtual) to achieve the cherished goal. Finally, we demonstrate what optimal actions the agent perform to reduce the spread of disease while considering the economic factors. In our experiment, we let the agent find an optimal solution without providing any prior knowledge. After training, we observed that the agent places a long length lockdown to reduce the first surge of a disease. Furthermore, the agent places a combination of cyclic lockdowns and short length lockdowns to halt the resurgence of the disease. Analyzing the agent’s performed actions, we discover that the agent decides movement restrictions not only based on the number of the infectious population but also considering the reproduction rate of the disease. The estimation and policy of the agent may improve the human-strategy of placing lockdown so that an economic crisis may be avoided while mitigating an infectious disease.

ECP02-01 - Globalisation and the impact of economic factors on psychiatric disorders

2011 ◽  
Vol 26 (S2) ◽  
pp. 1795-1795
Author(s):  
D. Bhugra
Keyword(s):  
Mental Health ◽  
Cultural Identity ◽  
Economic Status ◽  
Psychiatric Morbidity ◽  
Economic Factors ◽  
Socio Economic Status ◽  
Level Of Economic Development ◽  
Migration Experiences ◽  
The Impact ◽  
The Relationship

IntroductionWith the process of globalisation in full flow, the movement of people and products across the globe has brought a series of difficulties. With migration the socio-economic status of the individuals may change with the likelihood that this status will be lower rather than higher, although depending upon the reasons for migration this may change too.ObjectivesLiterature shows that low socio-economic status is associated with a higher level of psychiatric morbidity.AimsWhether migration acts as a mediator needs to be investigated further.MethodsVarious studies have shown that rates of psychosis are elevated in migrants though these rates are differentially increased in different groups indicating that factors other than migration may be at play.ResultsIn this presentation the literature and link the acculturation and cultural identity with post-migration experiences will be reviewed.ConclusionA link exists between the perceptions within cultures and level of economic development of what constitutes mental health. The state of advancement of mental health services of a country will certainly have a large impact on prevalence rates. Further investigation should be carried out to examine in greater depth the relationship between social inequality and disorder prevalence, as distinct from income inequality.

scholarly journals Socio-economic Factors Influencing the Development of Renewable Energy Production Sector in Poland

2021 ◽  
Vol 24 (1) ◽  
pp. 38-54
Author(s):  
Tadeusz A. Grzeszczyk ◽  
Waldemar Izdebski ◽  
Michał Izdebski ◽  
Tadeusz Waściński
Keyword(s):  
Renewable Energy ◽  
Energy Production ◽  
Hard Coal ◽  
Economic Factors ◽  
Eu Law ◽  
Factors Influencing ◽  
Level Ii ◽  
Renewable Energy Production ◽  
The Impact ◽  
Socio Economic Factors

Poland is not one of the leaders in the use of renewable energy sources (RES), and most energy is still produced using hard coal and lignite. Therefore, there are noteworthy emissions of air pollution (including ashes and greenhouse gases), and the Polish energy sector is characterized by a substantial degree of carbonization, which, as a result, threatens to expressively increase the costs of electricity production, leading to financial penalties imposed by the EU. The aim of this paper is to analyze socio-economic factors influencing the development of the RES sector in Poland. According to this aim, expert research was carried out, in which the factors influencing development potential of RES were assessed at two levels (level II – 5 factors, level III – 15 factors) according to the factor tree analysis. Based on the analysis of the level II factors, it can be concluded that the development of the RES sector in Poland will depend to a decisive extent on factors such as: EU decisions and Polish legislation affecting the development of the RES sector in Poland, prices and availability of conventional energy carriers. Other two factors – regional policy on ecology and ecological awareness in Poland – have so far little impact on the development of this sector in the state. The analysis of the level III factors shows that the greatest impact on the development of the RES sector in Poland is the influence of European lobbying of manufacturers of machinery and equipment for renewable energy production on EU law, the impact of Polish lobbying of conventional energy producers on Polish law in the production of renewable energy and the influence of European lobbying of renewable energy producers into EU law.

scholarly journals Economic Factors of the Intensifying the Migration Process

2018 ◽  
pp. 241-244
Keyword(s):  
Labor Market ◽  
Social Factors ◽  
Economic Factors ◽  
Migration Process ◽  
Demand Structure ◽  
Market Economic ◽  
Migration Potential ◽  
Main Factors ◽  
Migration Theories ◽  
The Impact

The factors influencing the intensification of the migration process have been considered since the appearance of the first migration theories. These factors determine both the potential migration opportunities and the actual conditions for the implementation of the migration process. Among the main factors that determine the intensity of the migration process, basic are the factors formed by the labor market (economic factors). Despite a number of migration theories that consider other factors, such as the demand structure, psychological and social factors, we determine the impact of precisely the economic factors (factors formed in the labor market) as the most significant. In today’s world, when determining the intensity and main directions of migration, the economic factors are taken into account by the majority of migrants. At the same time, indirect factors play an important role in the analysis of the migration process. Indirect factors, determining the basic conditions for the intensification of the migration process, form the potential for migration. Potential migration opportunities form an environment that determines the potential number of migrants. Indirect factors include not only the parameters of the development of the national economy as a whole, but also the parameters of the development of individual regions or territories that form the migration attractiveness of these regions.

scholarly journals Menentukan Nilai Penggantian Wajar Lahan Terdampak Pekerjaan Reaktifasi Jalur Kereta Api Trase Muaro Logas, Kabupaten Sijunjung, Provinsi Sumatera Barat

2019 ◽  
Vol 17 (1) ◽  
pp. 46-55
Author(s):  
Hasta Herlan Asymar
Keyword(s):  
Local Government ◽  
Vulnerable Groups ◽  
Economic Factors ◽  
The Public ◽  
Railway Line ◽  
The Poor ◽  
Reform Plan ◽  
The Social ◽  
The Impact ◽  
Socio Economic Factors

Abstract  – The calculation of the value of the Reasonable Land Turnover Terdamapak Job Reaktifasi railway line for arbitration was Muaro Logas was part of the study of the action of liberation/land and buildings for the reform plan of the reaktifasi railway line between Muaro-Logas is part of the planning of the reactivation railway line. This study analyzes regulations and policies, perceived an inventory and survey/census by identifying the affected community land procurement, with regard to the characteristics and the types of harm experienced, agreement agreement between the local government, the province and the Center in funding the acquisition of land; analyze optimum land procurement and analyse livelihood for the population affected by socio-economic factors, analyzing the parameters with the social, cultural, and economic related to population, the impact of the procurement of land and influence implementation of the work against the poor, residents of the tribal minorities, alienated, and other vulnerable groups, including women, as well as the institutional framework in planning the liberation of land and the settlements back including duties and responsibilities each institution. In the calculation of the Reasonable Replacement Value using Standar Penilaian Indonesia306 (SPI 306) about the assessment of the provision of Land for development for the benefit of the public

scholarly journals MODELLING OF THE INTEGRATED INDICATOR OF THE GENERAL LEVEL OF ENVIRONMENTAL SAFETY OF THE ENTERPRISE

2017 ◽  
pp. 182-191 ◽  
Author(s):  
Tetyana Radevych ◽  
Yuliya Nochovna ◽  
Nataliya Samburs'ka
Keyword(s):  
Regression Analysis ◽  
Environmental Protection ◽  
Mathematic Model ◽  
Environmental Safety ◽  
General Level ◽  
Environmental Damage ◽  
Economic Factors ◽  
Integral Coefficient ◽  
Correlation And Regression Analysis ◽  
The Impact

Introduction. Effective stimulation of the activities of national enterprises in the direction of environmental protection, reduction of the negative impact of production on the environment, increase of innovation and investment attractiveness, environmental image and improvement of the ecological situation in Ukraine becomes possible on condition of the development and practical testing of the methodology for assessing the overall level of environmental safety of the enterprise. Purpose. The article aims to develop an integrated index of the overall level of environmental safety of the enterprise, to justify the possibility of using correlation and regression analysis to confirm the interrelationship between its components. Methodology. The fundamental aspects of the general economic theory, the economics of nature usage and environmental protection, statistics and econometrics have become the methodological basis of the article. The article uses correlation and regression analysis, comparative analysis, method of relative values, methods of economic and mathematic modelling etc. Results. In the article the formula for calculation the integral index of the general level of ecological safety of the enterprise is developed. It is based on three partial integral coefficients: the integral coefficient of environmental damage; integral coefficient of influence of economic factors; the integral factor of the impact of environmental and economic factors. The use of correlation and regression analysis has confirmed the adequacy of the developed economic and mathematic model, the reality of interconnections and interdependencies between its indicators.

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