scholarly journals Cadastral valuation of forest lands, taking into account the degree of development of their infrastructure

2021 ◽  
Vol 249 ◽  
pp. 449-462
Author(s):  
Vasily Kovyazin ◽  
Anastasia Kitcenko ◽  
Seyed Omid Reza Shobairi
Keyword(s):  
Regression Model ◽  
Infrastructure Development ◽  
Forestry Sector ◽  
Geoinformation Modeling ◽  
Rental Rate ◽  
Rational Management ◽  
Complex Integral ◽  
Forest Lands ◽  
Integral Indicator

The article substantiates the need to improve methodology for cadastral valuation of forest lands and change the principles for calculating the rental rate of forest lands, on the basis of which the rent for the use of these lands will be determined in future. The methodology for determining the cadastral value of forest lands, taking into account the degree of development of their infrastructure, is presented. The infrastructure of lands of the forest fund is considered and an algorithm for assessing such infrastructure by means of geoinformation modeling is shown. A method for calculating a complex integral indicator (coefficient of infrastructure development) is presented, which is applicable to differentiate lands covered and not covered with tree vegetation, for their effective and rational management. The complex integral indicator determines the availability of forest plots, as it takes into account location of the forest fund infrastructure in relation to assessment plots, which makes it possible to obtain information about the time spent on covering the required distance. This methodology can be applied to assess the quality and condition of the existing infrastructure of the forestry sector in implementation of measures within the framework of the Strategy for the development of the forestry complex, providing for support and construction of infrastructure facilities on the forest fund lands. The method was tested in the Baltiysky district forestry of the Baltiysko-Belozersky taiga region. The results were as follows: the map of the forest fund infrastructure development within the boundaries of differentiation assessment according to the calculated integral indicator of infrastructure development was obtained; the regression model for calculating the rent rate taking into account the taxation value and integral indicator infrastructure development was received: the cadastral value of forest lands taking into account the developed model was calculated.

scholarly journals Use of forest land for national-priority infrastructures in Nepal

2017 ◽  
Vol 27 (1) ◽  
pp. 60-64
Author(s):  
U. R. Sharma
Keyword(s):  
Forest Area ◽  
Forest Conversion ◽  
Infrastructure Development ◽  
Infrastructure Projects ◽  
Forest Land ◽  
National Priority ◽  
Equivalent Area ◽  
Strict Enforcement ◽  
The Government ◽  
Forest Lands

 Forest conversion has been identified as one of the several bottlenecks affecting upon the major infrastructure projects in Nepal, especially in the energy and transport sectors. Nepal’s policy requires at least 40% of its land cover under forest. This means if any forest land is converted to non-forest land, it must be compensated with an equivalent area, preferably in the similar ecotype in the nation. In addition, a specified number of trees must be planted for the number of trees felled in the project site, and the site must be managed and protected for five years by the developers. These provisions have led to growing resentment between the developers and the Ministry of Forests and Soil Conservation (MFSC), leading to delay in providing forest lands for infrastructure projects. With a view to develop mechanisms for the government to rapidly provide forest land for nationally important infrastructure projects, the Government databases were examined to analyze the forests handed over to the developers for non-forestry uses. The data showed that a total of 14,028.4 ha of forest area were handed over to the developers for non-forestry uses until the end of 2015. On an average, 263.8 ha forest area was found to be handed over to the developers between the period of 2010–2013. However, there is a declining trend of forest handed over for non-forestry purposes in the recent years. The decline could be due to the strict enforcement of the legal provision which limits the conversion of forest areas to non-forest areas except in the case of the “national priority projects”. It has been recommended that the conversion of forest for infrastructure development should be examined with a holistic perspective by taking all the related components of forest conversion into consideration, from providing forest land for replacement planting. It is recommended that the Forest Product Development Board (FPDB), a parastatal organization under the MFSC, should be entrusted with the work of plantation related to forest conversion. The fund for this work should flow directly from the developers to the FPDB. The possibility of forming a land bank to facilitate the work of the FPDB is also recommended.Banko Janakari, Vol. 27, No. 1, Page: 60-64

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 Factors Affecting Farm Succession and Occupational Choices of Nominated Farm Successors in Gilgit-Baltistan, Pakistan

Agriculture ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1203
Author(s):  
Muhammad Abid Shahzad ◽  
Syed Abubakr ◽  
Christian Fischer
Keyword(s):  
Regression Model ◽  
Farm Size ◽  
Agricultural Activity ◽  
Infrastructure Development ◽  
Occupational Choices ◽  
Agricultural Income ◽  
Logit Regression ◽  
Part Time ◽  
Logit Regression Model ◽  
Gilgit Baltistan

Mountain farming communities in Pakistan are exhibiting an increased rate of rural-to-urban migration and a rapid growth in the non-farm sector, which has threatened the sustenance of agricultural activity. This study examined the determinants of farm succession using a logit regression model and employed a multinomial logit regression model to study the factors influencing the future occupational choices of the potential farm successors. The study was based on quantitative survey data obtained from 421 farm managers and 155 potential farm successors and qualitative data from 12 key informants from two different districts in Gilgit-Baltistan. The survey results show that around 67% of the farmers had a potential successor. Farm succession was mainly explained by farmer characteristics (e.g., farmer age, gender and education), farm characteristics (e.g., farm size, specialization in horticulture, etc.) and agricultural income. Regarding the occupational choices, part-time farming (66%) was the most commonly reported choice. The results indicate that it was mainly farm successors’ personal characteristics (such as age, education and marital status) and agricultural income that led to the choices “undecided” and “exit”, whilst farm characteristics (e.g., farm size) and the main farm operators’ non-farm activity were significantly associated with the choice “part-time”. Policies aimed at improving the local income situation and investments in skill-building and infrastructure development can assist in farm sustenance.

ANALYSIS OF INTELLECTUAL CAPITAL: SOURCES OF INFORMATION AND SYSTEM OF INDICATORS

2020 ◽  
pp. 80-90
Author(s):  
Marina V. Bogdanova ◽  
◽  
Alexander A. Parshintsev ◽  
Keyword(s):  
Intellectual Capital ◽  
Point Of View ◽  
Sources Of Information ◽  
The Russian Federation ◽  
Multi Level ◽  
Definition Of ◽  
Complex Integral ◽  
Intellectual Potential ◽  
Statistical Indicators ◽  
Integral Indicator

This article is devoted to the assessment of intellectual capital, in particular, the development of a system of statistical indicators. In order to develop a system of statistical indicators, a comparative analysis of approaches to the definition of intellectual capital, as well as its structure, has been carried out. As a result of the performed analysis, it is proposed to study intellectual capital from the point of view of its essential specifics, taking into account the theoretical aspects of capital reproduction. For a comprehensive statistical analysis of intellectual capital, a multi-level system of indicators has been developed, the first level of which includes two components: intellectual potential and the result of its use, as well as three groups of indicators characterizing the process of intellectual capital reproduction: production of intellectual capital, distribution, exchange and its consumption. The second level of the scorecard details the components and groups of the first level. The third level includes individual indicators of intellectual capital. Using methods for constructing relative values and series of dynamics, the analysis of the presence and dynamics of intellectual capital by individual indicators in the Russian Federation and in comparison with the countries of the world was carried out. It was found that some indicators give multidirectional trends that complicate the overall interpretation of the results. It is concluded that it is necessary to develop a complex integral indicator of intellectual capital.

scholarly journals Poisson and Negative Binomial Regression Models Application to Model the Factors of Car Ownership in Akure, South West, Nigeria

2016 ◽  
Vol 3 (2) ◽  
pp. 72-82
Author(s):  
Joseph O. Oyedepo ◽  
Japheth E. Etu
Keyword(s):  
Regression Model ◽  
Poisson Regression ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Infrastructure Development ◽  
Poisson Regression Model ◽  
Monthly Income ◽  
Academic Qualification ◽  
Driver's License ◽  
Household Members

 Increase in number of cars without commensurate increase in the number of transport facilities and infrastructures has led to diverse traffic problems in many Nigerian cities like Akure. Factors which contribute to increase in the numbers of cars owned in Akure metropolis were investigated in this study. The study area was divided into three density zones namely High, Medium and Low while, data was collected using well-structured household questionnaire survey distributed amongst residents; with the survey yielding a return of 1002 questionnaire out of the 1181 distributed. Results from field findings gave the average number of cars owned per household in the study area as 0.62. Results of the Poisson Regression Model show that a change in the number of employed household members will decrease the number of cars owned in the study area by 9% while, a unit increase in the number of driver’s license holders in the household, academic qualification and average monthly income of the household will increase the number of cars owned by 60%, 26% and 30% respectively. The negative binomial model indicates that a change in the number of employed household members will decrease the number of cars owned by 10% whereas a change in the number of driver’s license holders in the household and monthly income will lead to an increase in the number of cars owned by 101% and 24% respectively. The test of model effects affirm that all the predictor variables are statistically significant indicating a good fit for the model predicted. Out of the two models, Poisson regression model is found to be a superior model due to a higher log likelihood ratio Chi Square and improved statistically significant variables. The findings in this research will assist government agencies to plan future transportation infrastructure development.

scholarly journals Theoretical-methodical approaches to assess the effectiveness of the court-expert activities

2019 ◽  
pp. 33-40
Author(s):  
Vira KHOMUTENKO ◽  
Alla KHOMUTENKO ◽  
Varvara SVITLOOKA ◽  
Dmytro MOTYHIN
Keyword(s):  
Informational Support ◽  
Criteria And Indicators ◽  
Research Institutes ◽  
Methodological Approaches ◽  
Normative Criteria ◽  
Complex Integral ◽  
Court Expert ◽  
The Impact ◽  
And Training ◽  
Integral Indicator

Introduction. In the theory of expertise there is no comprehensive concept of evaluating the effectiveness of court-expert activity in general and the work of a court expert in particular, the corresponding conceptual apparatus of "court-expert efficiency" has not been fully developed and systematized, theoretical and normative criteria and indicators to assess its effectiveness have not been formed. This made it an expedient to conduct a study aimed at determining the criteria and indicators for evaluating the effectiveness of court expertise. The purpose of the work is to theoretically justify and develop methodological recommendations related to the formation of a system of criteria and indicators for evaluating the effectiveness of court-expert activity. Results. The article is devoted to the exploration of theoretical and methodological approaches to the evaluation of the effecti-veness of the court-expert scientific research institutes (institutions). Criteria have been defined and indicators of effectiveness of court-expert activity have been grouped that related to organizational-managerial, scientific-methodological and informational support, execution of a court experts expertise and providing an conclusion, with selection and training of court- experts. Conclusion. The use of a complex integral indicator to evaluate the effectiveness of court-expert activity and to identify the impact of each direction of activity of research institutes (institutions) of court expertise on the effectiveness as a whole is substantiated.

scholarly journals Integral assessment of business environment security

2017 ◽  
Vol 15 (4) ◽  
pp. 280-292 ◽  
Author(s):  
Ganna Blakyta ◽  
Olena Matusova ◽  
Halyna Lanovska ◽  
Victor Adamenko
Keyword(s):  
Methodological Approach ◽  
Business Environment ◽  
Economic Security ◽  
Infrastructure Development ◽  
Black Sea Region ◽  
Organizational Conditions ◽  
Baltic Countries ◽  
The Baltic ◽  
Integral Assessment ◽  
Integral Indicator

The methodological approach to the integral assessment of business environment security is developed in the article; the blocks of factors of business environment security are identified and the indices which affect the formation of economic security of entrepreneurship are analyzed. The integral indicator for assessing business environment security is based on 6 indicators, which are the most significant elements of the business environment formation: the availability of basic economic freedoms, the favorable organizational conditions for doing business, the state of political and legal system, the level (quality) of life, resource provision and infrastructure development, innovation development. A comparative analysis of the integral indicator of business environment security of Ukraine with the Baltic countries, Black Sea region countries and the Visegrad Group countries is carried out. The article identifies interdependence between the business environment security and the share of unprofitable enterprises. The functional relationship of the business environment security with the number of bankrupt enterprises and the level of enterprises losses is substantiated as well. The model shows that the increase of environmental security leads to the decrease of a number of bankruptcies exponentially. The negative and positive factors which influence the formation of economic security of entrepreneurship are revealed.

scholarly journals PENETAPAN MODEL BANGKITAN PERGERAKAN UNTUK BEBERAPA TIPE PERUMAHAN DI KOTA PEMATANGSIANTAR

2013 ◽  
Vol 10 (1) ◽  
Author(s):  
Muhammad Efrizal Lubis ◽  
Novdin M Sianturi
Keyword(s):  
Regression Model ◽  
Family Member ◽  
Model Test ◽  
Generation Model ◽  
Infrastructure Development ◽  
Trip Generation ◽  
Housing Type ◽  
Primary Survey ◽  
Independent Variable ◽  
Model Equations

Town expansion not followed by infrastructure development can result many problems andone of them is related to transportation. This research aims to model Trip generation conducted bysome community of housing types in Pematangsiantar town. And the research of this is done toknow and estimate the level of out movement from the housing that will be used for forecasting inorder to overcome all problems at the future period.The primary survey is done by filling thequestionnaire by 86 members of families which are living in three housing type’s area that is luxurious,middle and simple. The result of the questionnaires will be tabulated to become dependent variableand independent variable. Moreover, it will be analyzed by SPSS-12 program. The equation regressionof it will be used to model and awaken the trip of community in some housing types in Pematangsiantartown.From the final result model test, it was gotten that the trip generation in three housing typearea that is luxurious housing type (Y1), middle housing type (Y2), and type housing of simplebuilding (Y3) had been very influenced by amount of family member (X1), amount of the ownershipof car (X3), amount of the ownership of motorcycle (X4) and amount of family go to school (X6).The regression model equations are included by luxurious housing type (Y1) = -0,728 + 1,885 X1+ 0,649 X3 + 0,772 X6, middle housing type (Y2) = 0,600 + 1,300 X1 + 0,900 X3, simple housingtype (Y3) = 0,271 + 1,518 X1 + 0,905 X4.Keyword: Trip generation model, Housing typologies.

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