Forest Estates/Organisational Units Ranking Model - The MRG Model

Dragan Ratko ?omi?

摘要

Background and Purpose: The fact that new organizational concepts require comparison and ranking of some business entities, implies the analogy that, in forestry, ranking should create the basis for differentiation of Forest Estates (FE) (seen as profit centers) according to their capability to allocate funds from rent for the utilization of forests and forest land. In this sense, it was necessary to determine the basic criteria and variables, and then to create the model for FE ranking on the basis of ecological and production potentials, and business results (economic indicators). The main idea was to create a model that can be used primarily by forest owners (which are, in certain countries such as Bosnia and Herzegovina, Croatia, Serbia, and Montenegro, mainly governments) and by public forest enterprises. The proposed models may serve to all other scientific, professional, research and other institutions, as the starting point for further research and as suggestions for possible improvements of the proposed solutions. Materials and Methods: The research was carried out within the project "Differential rent in the Republic of Srpska forestry". Total sample for the survey was 44 interviewed parties, with 118 questionnaires filled in. The methods of classification, content analysis, desk research, analysis, synthesis and comparison were used. In the concrete application of the Forest Estates/Organisational Units Ranking Model (hereinafter MRG Model; Model rangiranja ?umskih gazdinstava, in Bosnian), the following methods were used: brainstorming, focus groups, survey, desk research method, Pareto analysis, modelling and induction. The statistical methods used were descriptive statistics and rank correlation. By using these methods and by combining them, a new model for forest estates ranking was created. Different input data and variables that refer to economic and natural indicators were used for ranking, all in accordance with the values for areas for which the ranking was carried out. Results: The main results are used for defining and proposal of the new model for forests estates ranking, i.e. the MRG Model. This model includes the following steps: (1) Survey, (2) Selection and scoring of specific variables, (3) Determining the intervals for specific variables, (4) Ranking of forest estates, and (5) Validation and rank correlation. This paper presented the algorithm of implementation of specific steps within the MRG Model, together with all activities that need to be implemented in order to perform forest estates ranking. It is necessary to emphasize that forest estates ranking was performed in accordance with the following three ranks: (1) for all analyzed variables, (2) for economic variables, and (3) for natural variables. Additionally, three modules for the calculation of scores for individual forest estates are the result of this research. Conclusions: The MRG Model is based on FE ranking according to deviation from the average value of the selected variables. The quality of the model lies in the fact that it is relatively simple (there are no complex statistical or other methods, necessary data can be collected easily), and that it can be applied again for similar surveys. Implementation of the MRG Model involves 5 basic steps with 7 phases to be performed in the order specified in this paper. The selection of variables which will be part of the MRG Model is crucial. The survey sample must include representatives that are directly or indirectly involved in the forestry sector. Although it might seem that all selected variables are significant, it is always necessary to give each variable the importance in accordance with the survey results. It is necessary to validate the defined model, data and final ranks on a pilot sample. Since there are three ranks, it is necessary to consider their mutual correlation, by performing statistical analysis rank correlation.

机译：背景和目的：新的组织概念需要对某些业务实体进行比较和排名，这一事实暗示了一个类比，即在林业中，排名应该为根据其能力区分林场（FE）（称为利润中心）奠定基础。从租金中拨出资金用于森林和林地的利用。从这个意义上讲，有必要确定基本标准和变量，然后根据生态和生产潜力以及业务成果（经济指标）创建有限元排名模型。主要思想是创建一个模型，供森林所有者（主要是政府在波斯尼亚和黑塞哥维那，克罗地亚，塞尔维亚和黑山等某些国家，主要是政府）使用。所提出的模型可以服务于所有其他科学，专业，研究和其他机构，作为进一步研究的起点和对所提出解决方案可能进行改进的建议。材料和方法：该研究是在“斯普斯卡共和国林业的地租差额”项目中进行的。本次调查的样本总数为44个受访者，填写了118份问卷。使用了分类，内容分析，案头研究，分析，综合和比较的方法。在林地/组织单位排名模型（以下称为MRG模型;波斯尼亚的rangiranja？umskih gazdinstava模型）的具体应用中，使用了以下方法：集思广益，焦点小组，调查，案头研究方法，帕累托分析，建模和感应。使用的统计方法是描述性统计和等级相关性。通过使用这些方法并将它们结合起来，创建了一个新的森林资产等级模型。涉及经济和自然指标的不同输入数据和变量被用于排名，所有这些都与进行排名的区域的值一致。结果：主要结果用于定义和提议森林资产等级的新模型，即MRG模型。该模型包括以下步骤：（1）调查，（2）特定变量的选择和评分，（3）确定特定变量的间隔，（4）林地等级，以及（5）验证和等级相关。本文介绍了MRG模型中特定步骤的实现算法，以及执行森林资产排名所需的所有活动。需要强调的是，林地等级是按照以下三个等级进行的：（1）所有分析变量，（2）经济变量，（3）自然变量。另外，本研究的结果是三个模块，用于计算单个森林庄园的分数。结论：MRG模型基于与所选变量平均值的偏差的有限元排名。该模型的质量在于它相对简单（没有复杂的统计或其他方法，可以轻松收集必要的数据），并且可以将其再次用于类似的调查。 MRG模型的实施涉及5个基本步骤，按本文指定的顺序执行7个阶段。选择将成为MRG模型一部分的变量至关重要。调查样本必须包括直接或间接参与林业部门的代表。尽管似乎所有选择的变量都是重要的，但始终有必要根据调查结果为每个变量赋予重要性。有必要验证试验样本上定义的模型，数据和最终排名。由于存在三个等级，因此有必要通过执行统计分析等级关联来考虑它们的相互关联。

Forest Estates/Organisational Units Ranking Model - The MRG Model

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