scholarly journals Contribution of small and medium sized enterprises in development of agribusiness of Serbian Republic

2009 ◽  
Vol 54 (1) ◽  
pp. 63-80 ◽  
Author(s):  
Blazenka Popovic
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Regional Development ◽  
Future Development ◽  
Agricultural Sector ◽  
Economic Potential ◽  
Clear View ◽  
Current State ◽  
Strategic Goals ◽  
And Cluster Analysis

The economic development of Serbian republic is more and more connected with development of small and medium sized enterprises, which represent one of the main bases of Serbian economy. The economic potential of agriculture imposes the need of analyzing the condition in area of small and medium sized entrepreneurship which should be the carrier of future development of agribusiness. By ranging and grouping of Serbian republic municipalities (by discrimination and cluster analysis) according to level of development of small and medium sized entrepreneurship in agriculture, the clear view is got in current state of regional development of this agricultural sector as the possibilities of future development. By development of small and medium sized enterprises in agriculture it is possible to achieve strategic goals of Serbian republic agro development and for realization of these goals it is necessary to ensure the stable economic ambient, appropriate pre conditions as measures of support which will be stimulating for development of agribusiness.

scholarly journals DISCOVERING CENTRAL ASIA: THE PROSPECTS FOR TOURISM DEVELOPMENT ALONG THE PATHS OF THE GREAT SILK ROAD

2017 ◽  
Vol 11 (6) ◽  
pp. 15-31
Author(s):  
Валерия Хетагурова ◽  
Valeriya Khetagurova
Keyword(s):  
Economic Development ◽  
Regional Development ◽  
Central Asia ◽  
Transition Period ◽  
Tourism Development ◽  
Silk Road ◽  
Tourism Industry ◽  
Current State ◽  
Central Asian ◽  
Socio Economic Development

The article considers the prospects of tourism development in five countries of Central Asia: Kazakhstan, Uzbekistan, Kyrgyzstan, Turkmenistan and Tajikistan. The author analyzes cultural, social and economic aspects of the tourism industry in the region. The main directions of activity of international organi-zations in the framework of tourism promotion programs are given. Central Asia has a huge potential for the tourism development. The study of the current state of tourism in Central Asia is becoming increasingly important. Tourism resources have every chance to become part of the national wealth of the countries of this region. In the group of factors determining socio-economic development of the countries in the region are natural resources, the level of production and investment, social infrastructure, management quality, international competitiveness, etc. The need for the regional development management system is conditioned by regionalization processes inherent to the current economic situation, oriented to ensuring positive national economic dynamics and maximum using the region’s potential. The studying problem of regional development makes it possible to justify, as one of the directions of its solution, the use of cluster technologies oriented to those branches of the economy that can become a vector of regional development. According to experts, the tourism industry is one of the most profitable sectors of the economy of the region. This industry covers numerous sectors of the economy and various links between them. The main tourist routes in the present time, covering many objects of the Great Silk Road, do not offer a more detailed study of the local historical, architectural and archaeological heritage. The lack of infrastructure facilities is the reason for this. This fact forces us to search solutions, which will provide a comfortable environment for both tourists and researchers. At present, the Central Asian countries occupy a very modest place in the world market of tourist services. According to many experts, the demand for sanatorium, tourist and excursion services has decreased due to the transition period, and the existing network of tourist institutions, boarding houses, rest homes needs reconstruction. After the disintegration of the Soviet Union, tourism in the Central Asian republics began to develop independently, without common approaches and concepts. In many respects this is determined by the fact that the new states have chosen their own models of socio-economic development, different from each other. The different level of political freedoms, economic development features determine the current state of the tourism industry in various countries of Central Asia. The perspective of tourism development in this region is quite difficult, but an interesting task, necessary for familiarizing humanity with the most interesting culture of peoples inhabiting Central Asia and developing the economies of countries.

Current state of development of the agricultural sector of Kazakhstan

2020 ◽  
pp. 34-38
Author(s):  
A. U. Tatikova
Keyword(s):  
Economic Development ◽  
Small Business ◽  
Economic Activity ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Current State ◽  
The Republic

The development of small business, agriculture is one of the key areas of economic development of the republic and has great potential and signifi cant reserves. However, this area of economic activity has a number of specifi c features, consisting not only in the seasonality of agricultural production as the basis for the formation of cluster formations and in the presence of a large number of unforeseen risks associated with natural and climatic unpredictable changes, and, according to the authors, agricultural businessmen are not suffi ciently motivated for production activities.

Analyzing the "Strategy of Socio-Economic Development of the Chuvash Republic until 2035" content

2021 ◽  
Vol 20 (2) ◽  
pp. 299-324
Author(s):  
Valerii V. SMIRNOV
Keyword(s):  
Neural Network ◽  
Cluster Analysis ◽  
Economic Development ◽  
Growth Rates ◽  
Systems Approach ◽  
Cultural Institutions ◽  
Socio Economic Development ◽  
Chuvash Republic ◽  
Number Of Visits ◽  
And Cluster Analysis

Subject. The article addresses a strategy for socio-economic development of the region. Objectives. The purpose is to define contradictions and opportunities to achieve the expected results of the "Strategy of Socio-economic Development of the Chuvash Republic until 2035". Methods. The study rests on the systems approach, using the methods of statistical, neural network, and cluster analysis. Results. The statistical analysis of trends in expected outcomes of the Strategy implementation enabled to build a median hierarchy of their growth rates, where the indicator of an increase in the number of visits to cultural institutions is a priority in setting the goals for the region’s development. The neural network analysis demonstrates the importance of the growth rate of real accrued wages of employees of organizations and the insignificant value of the increase in the number of visits to cultural institutions for effective achievement of all objectives of the Strategy. The cluster analysis shows the importance of growth rates of indicators of the proportion of organizations engaged in technological innovations, and the proportion of shipped innovative products. The analysis of growth rates of GRP and expenditures of the consolidated budget of the Chuvash Republic reveals a decrease in the cyclical lag of the first dynamic pattern from the second one. Conclusions. For the Chuvash Republic, a strategic priority is to overcome the GRP growth limit through the innovative development of backbone areas of economic activity.

scholarly journals Recycling of Communal Waste: Current State and Future Potential for Sustainable Development in the EU

2019 ◽  
Vol 11 (10) ◽  
pp. 2904 ◽  
Author(s):  
Marcela Taušová ◽  
Eva Mihaliková ◽  
Katarína Čulková ◽  
Beáta Stehlíková ◽  
Peter Tauš ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Sustainable Development ◽  
Waste Management ◽  
National Level ◽  
Waste Recycling ◽  
The European Union ◽  
Eu Member States ◽  
Current State ◽  
Waste Production ◽  
And Cluster Analysis

The constant consumption of resources exerts pressure on the environment. In this sense, waste management has obtained increasing attention from the view of a circular economy. The European Union deals with these mentioned aspects, trying maintain long-term competitiveness and to provide sustainable development in accordance with all related environmental aspects. This paper focuses on the evaluation of the production of communal waste in 36 EU countries. The main aim is to evaluate the success of countries’ efforts to decrease waste production and increase recycling rates. The methodology used for the evaluation included data collected from the publicly available database Eurostat, consequent analyses and evaluation in the statistical software JMP 13 through regression, distribution, and cluster analysis, and the interpretation of the results. The results of the cluster analysis showed that despite clear EU waste management legislation, EU member states have significantly different waste management systems at the national level. However, generally, we could see positive correlation between the generation of waste and recycling rates. Although, Malta, Austria, Greece, and Norway recorded a decreasing level of waste recycling over the last several years, some countries (Slovakia, Poland, Czech Republic, Latvia, Lithuania) had significantly lower recycling rates accompanied by low landfill taxes. The evaluation of waste production and recycling can be used for government policy in the area of waste management, as well as for individual communities dealing with communal waste.

scholarly journals Efficient water management: an analysis for the agricultural sector

Water Policy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 396-416
Author(s):  
Vítor João Pereira Domingues Martinho
Keyword(s):  
Water Management ◽  
Cluster Analysis ◽  
Qualitative Analysis ◽  
Agricultural Sector ◽  
Water Withdrawal ◽  
Data Envelopment ◽  
The European Union ◽  
Management Plans ◽  
And Cluster Analysis ◽  
Efficient Water Use

Abstract Efficient water use in agriculture depends on a number of variables, from the farmers’ perceptions of these concerns, to the socioeconomic dimensions. In any case, it is important to bring about more insight into these fields, specifically to stimulate the design of adjusted management plans and policies which increase water efficiency on farms. These are relevant motivations to perform more research in these fields. In this framework, the main objective of this study is to analyse the water management efficiency of the agricultural sector in the regions (NUTS 2) and countries in the European Union. For this purpose, statistical information from the Eurostat was considered and an approach based on the Cobb–Douglas theory of production was used which combines DEA (data envelopment analysis) with factor and cluster analysis. Also performed was qualitative analysis with the Atlas.ti software. This approach that combines qualitative analysis with DEA–factor-cluster analysis brings new outcomes to the literature. The insights obtained from this study reveal that it is possible to improve water management without compromising the agricultural output and while still improving farmers’ profit. For example, in some French regions, almost 100% of the surface water withdrawal for agricultural irrigation could be saved.

scholarly journals Statistical analysis of the social and economic development of Ukrainian regions

2020 ◽  
pp. 15-18
Author(s):  
Olena POSHYVALOVA ◽  
Polina PROSHKINA
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Regression Model ◽  
Economic Condition ◽  
The State ◽  
Reliable Estimate ◽  
Socio Economic Development ◽  
Feature Values ◽  
And Cluster Analysis ◽  
Integral Indicator

The issue of the country's socio-economic development and analysis of its dynamics arises within the context of the transition to a market economy. The aim of the research is to consider the state of socio-economic development of the regions of Ukraine on the basis of the generalized multicriteria indicator, cluster analysis, as well as the multidimensional nonlinear regression model. To trace the presence of differentiation in the socio-economic development of the regions of Ukraine is especially important. The analysis implemented in the Thesis covers the widest range of indicators of the socio-economic condition of the regions of the country. An integral indicator of the socio-economic condition of the subjects of Ukraine has been offered as the main characteristic. The state statistical data have been used to construct a generalizing indicator. Ranking, as well as clustering of the country regions according to the selected indicators, makes it possible to more accurately determine which of them are the most developed. A multidimensional nonlinear model for forecasting the level of income of the Ukrainian population has been constructed on the basis of correlation and regression analysis. Conducting a comparative assessment of the socio-economic development of Ukrainian regions using integral indicator methods and cluster analysis, made it possible to identify a group of regions of Ukraine with a similar combination of feature values, as well as to determine the place and role of each of them in the national economy. This is of great importance for the development of the most crucial target programs for the economy, investment directions, and state support of lagging regions. The correlation regression model constructed has made it possible to identify the factors of the greatest impact on the change of population income levels, to determine the absolute and relative influence of the factors on the output indicators, and also to provide a reliable estimate of the future level of the output indicator, taking into account various conditions of the country's socio-economic development.

scholarly journals Evaluation and Analysis of Socio-Economic Development Level and Management in Guangxi province of China

2021 ◽  
Vol 39 (5) ◽  
Author(s):  
Li Zongkeng ◽  
Li Zhuoran ◽  
Andrii Mykhailov ◽  
Wei Shi ◽  
Yang Zhuquan ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Method ◽  
Development Level ◽  
Socio Economic Development ◽  
Cluster Analysis Method ◽  
And Cluster Analysis

This article takes 14 regions in Guangxi as the research object, selects ten indicators that can measure the level of socio-economic development, establishes an index system for evaluating the regional socio-economic development level of Guangxi regions, and uses principal component analysis method and cluster analysis method carry out comprehensive evaluation and difference analysis among the economic development level of Guangxi regions. First, the primary component analysis method uses to comprehensively evaluate the economic development level of 14 regions in Guangxi. The results show that there are vast differences in the economic development levels of regions in Guangxi. Secondly, a systematic cluster analysis method uses to classify and analyze the differences between regions according to the similarity of economic development status. Finally, combined with the results of principal component analysis and cluster analysis, comprehensive evaluation analysis and discussion on the economic development status of various regions in Guangxi, and based on the evaluation results, proposed countermeasures for the socio-economic development and management in Guangxi province of China.

Estimating regional water demand in Seoul, South Korea, using principal component and cluster analysis

2005 ◽  
Vol 5 (1) ◽  
pp. 1-7 ◽  
Author(s):  
J.Y. Koo ◽  
M.J. Yu ◽  
S.G. Kim ◽  
M.H. Shim ◽  
A. Koizumi
Keyword(s):  
Cluster Analysis ◽  
Regional Development ◽  
Multiple Regression ◽  
Water Demand ◽  
Regression Models ◽  
Principal Component ◽  
Water Demands ◽  
Commercial Area ◽  
Multiple Regression Models ◽  
And Cluster Analysis

In Seoul, the multiple regression models were used to estimate future water demand and to verify the ability of the water supply to cope with regional development. A regional development project extending over two districts was planned to stimulate the regional economy of Seoul in October 2003, and multiple regression models for each district were developed to verify the capacity of water facilities and the retention time of reservoirs. Two variables, the population and the area of the commercial district, were used to express domestic and commercial water usage. Coefficients for variables of models should be positive values; however, the coefficient for population was negative in Jung-gu. The prediction of water demand with one regression formula for each district may not be sufficient to characterize the water use pattern of a district. So, by characterizing each sub-district of the two districts, applying principal component and cluster analysis, they were divided into residential and commercial groups. Then, multiple regression models with the same variables were developed for each group. As a result, the models not only had positive coefficients for all variables, but also could provide reasonable sensitivity for the variables. For each group, the commercial area had nearly same sensitivity, but the population in the commercial area showed more sensitivity than in the residential area, because people living in the commercial area do not have to go to another district to work or sleep. Future water demands were estimated, depending on three scenarios of regional development, using the existing and newly developed models. The water demands estimated by the newly developed model are 3,416-11,372 ton/day less than those by existing model. Therefore, the model developed gave the correct water demand and prevented a wrong decision from being made.

The Application of Factor and Cluster Analysis in Construction Enterprises in Inner Mongolia

2012 ◽  
Vol 174-177 ◽  
pp. 2848-2853
Author(s):  
Ying Qiu ◽  
Rui Zhang
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Inner Mongolia ◽  
Regional Economic Development ◽  
Regional Economic ◽  
Construction Enterprises ◽  
Factor And Cluster Analysis ◽  
And Cluster Analysis

Construction enterprises are gradually developing into the middle force of business, which reflects a regional economic development. The paper analyzes seven indicators of construction enterprises in Inner Mongolia and collects three factors, which has a specific name and meaning, and sorts the performances of these construction enterprises according to scores so as to get levels of these enterprises. Then, the paper uses cluster analysis to analyze these enterprises to get a better understanding and take different measures to develop these enterprises.

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