Natural resource asset evaluation model construction method

Abstract

The invention discloses a natural resource asset assessment model construction method, and belongs to the field of natural resource asset assessment, and the method comprises the following steps: S1, collecting natural resource sample data in a to-be-assessed region, and delimiting a natural resource type according to the type; s2, evaluating the growth process of each stage of the natural resources, determining evaluation index parameters according to evaluation results, considering influence factors, and constructing a natural resource growth model; and S3, based on the natural resource evaluation indexes and the natural resource sample data, establishing a natural resource asset evaluation model. By adopting the natural resource asset assessment model construction method, the natural resources are classified, the natural resource growth model is constructed in a classified manner on the premise of considering the growth cycle and the influence factor, and then the natural resource growth model is subjected to village association based on the collected natural resource data, so that the assets of the natural resources can be evaluated. And a high-precision natural resource asset evaluation model can be obtained.

Description

Technical Field

[0001] The present invention relates to the field of natural resource asset evaluation, and in particular to a method for constructing a natural resource asset evaluation model. Background Art

[0002] Natural resource asset valuation refers to the process of evaluating the economic value of various natural resources that exist and can be used by humans. These resources include, but are not limited to, land, water, minerals, forests, wildlife, marine resources, and ecosystem services. The purpose of this valuation is to scientifically and rationally understand and quantify the economic value of these natural resources, thereby facilitating more accurate decision-making in resource management, environmental protection, project development, policy formulation, and trading activities.

[0003] The existing natural resource asset evaluation model construction method is as follows:

[0004] 1. Based on 3S technology and ecological and environmental models: This approach utilizes 3S technologies—Remote Sensing (RS), Geographic Information Systems (GIS), and Global Positioning Systems (GPS)—in conjunction with ecological and environmental models for assessment. The model considers factors such as land cover, land type, and ecosystem services. By integrating and processing this data, it constructs an assessment model that reflects the characteristics and value of natural resources and the impact of environmental factors on them.

[0005] 2. Shadow Price Model: This model, based on the limited nature of resources, uses linear programming to calculate the optimal allocation of resources, reflecting their use value and scarcity. It provides price signals for rational resource allocation and effective utilization, but may not fully reflect market prices and actual willingness to pay.

[0006] 3. Marginal Opportunity Cost (MOC) Model: The MOC model considers marginal production cost (MPC), marginal user cost (MUC), and marginal external cost (MEC). This model integrates the direct cost of resources, the opportunity cost of future users, and external impacts on the environment, providing a basis for decision-making on natural resource protection and development policies.

[0007] 4. Li Jinchang Model: This model distinguishes between the natural value of natural resources and the value generated by human labor. It is a supplement to the traditional labor theory of value and is suitable for the evaluation of renewable resources.

[0008] 5. Conditional Value Method: This is a method for evaluating the value of public goods. It indirectly evaluates the value of natural resources by investigating the public's willingness to pay for improvements to resources and the environment. It is suitable for resources that do not have a direct market.

[0009] 6. Market value method: directly use the transaction price in the market to evaluate natural resources with clear market prices, such as minerals, land, etc.

[0010] 7. Income approach: Assess the value of natural resources based on their future income potential and is applicable to resources that can generate economic benefits.

[0011] 8. Cost method: Assess the value of natural resources based on the cost of developing and maintaining them. It is suitable for resources that are difficult to directly evaluate through market value.

[0012] 9. Replacement cost method: Evaluate the cost required to replace the natural resource to reflect its value.

[0013] 10. Ecosystem Service Value Method: This method evaluates the contribution of natural resources to ecosystem services, such as air purification, hydrological regulation, and carbon sequestration. It is applicable to resources with significant ecological service functions, such as forests and wetlands.

[0014] It can be seen that the existing natural resource asset assessment model construction methods do not take into account the growth cycle and influencing factors of natural resources, resulting in poor accuracy of assessment results. Summary of the Invention

[0015] To solve the above problems, the present invention provides a method for constructing a natural resource asset evaluation model. By classifying natural resources and constructing a natural resource growth model based on the growth cycle and influencing factors, and then linking the natural resource growth model based on the collected natural resource data, a high-precision natural resource asset evaluation model can be obtained.

[0016] To achieve the above objectives, the present invention provides a method for constructing a natural resource asset evaluation model, comprising the following steps:

[0017] S1. Collect sample data of natural resources in the area to be assessed and define the natural resource types according to their types;

[0018] S2. Evaluate the growth process of natural resources at each stage, determine the evaluation index parameters based on the evaluation results, and consider the influencing factors to construct a natural resource growth model;

[0019] S3. Establish a natural resource asset assessment model based on natural resource evaluation indicators and natural resource sample data.

[0020] Preferably, the natural resource types described in step S1 include woodlands, grasslands, and water areas.

[0021] Preferably, the influencing factors in step S2 include the property rights of natural resources α, the protection level β, and the resource nature δ, wherein when the property rights are public ownership, α=1, and when the property rights are private ownership, α=0.45;

[0022] When the protection levels of natural resources are level I, level II, level III, and level IV, the values ​​of β are 0.25, 0.5, 0.75, and 1, respectively;

[0023] When the resource properties of natural resources are economic attributes, environmental attributes, legal attributes, and political attributes, the values ​​of δ are 0.85, 0.9, 0.25, and 0.25, respectively.

[0024] Preferably, in step S2, for forest resources, its growth model W f as follows:

[0025]

[0026] Where N is the total number of forest resources, w fn is the biodiversity index of life cycle f and forest resources n, q fn is the management index of life cycle f and forest resources n, s fn is the life cycle f and the area of ​​forest resources n; where f∈F, F is the total life cycle;

[0027] For grassland resources, its growth model G f as follows:

[0028]

[0029] Where s fi is the area of ​​grassland resource i in life cycle f, T fi is the soil fertility of grassland resource i during life cycle f, and I is the total number of grassland resources; where F is 0.45, 0.76, 1, 0.33, and 0.1 in the seedling, growing, mature, senescent, and withering stages of grassland, respectively;

[0030] For aquatic grassland resources, its growth model WA f as follows:

[0031]

[0032] Where s fh is the area of ​​grassland resource h in life cycle f, D fh is the water resource utilization rate, is the water resources sustainable utilization index, η fh is the water resources supply and demand balance index, λ fh is the water resource health indicator, and H is the total number of grassland resources.

[0033] Preferably, step S3 specifically includes the following steps:

[0034] The sample data of each type of natural resources is input into the corresponding natural resource growth model for training to obtain a natural resource asset evaluation model.

[0035] The present invention has the following beneficial effects:

[0036] By classifying natural resources and constructing a natural resource growth model based on the growth cycle and influencing factors, and then linking the natural resource growth model based on the collected natural resource data, a high-precision natural resource asset assessment model can be obtained.

[0037] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a flow chart of a method for constructing a natural resource asset evaluation model of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solutions and advantages disclosed in the embodiments of the present invention clearer, the embodiments of the present invention are further described in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the embodiments of the present invention and are not intended to limit the embodiments of the present invention. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. Examples of the embodiments are shown in the accompanying drawings, where the same or similar numbers throughout represent the same or similar elements or elements with the same or similar functions.

[0040] It should be noted that the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or are inherent to these processes, methods, products or devices.

[0041] Like reference numerals and letters denote like items in the following drawings, and thus, once an item is defined in one drawing, it does not require further definition or explanation in subsequent drawings.

[0042] like Figure 1 As shown, a method for constructing a natural resource asset evaluation model includes the following steps:

[0043] S1. Collect sample data of natural resources in the area to be assessed and define the natural resource types according to their types;

[0044] The natural resource types described in step S1 include woodlands, grasslands, and water areas.

[0045] S2. Evaluate the growth process of natural resources at each stage, determine the evaluation index parameters based on the evaluation results, and consider the influencing factors to construct a natural resource growth model;

[0046] The influencing factors in step S2 include the property rights of natural resources α, the protection level β, and the resource nature δ, wherein when the property rights are public ownership, α=1, and when the property rights are private ownership, α=0.45;

[0047] When the protection levels of natural resources are level I, level II, level III, and level IV, the values ​​of β are 0.25, 0.5, 0.75, and 1, respectively;

[0048] When the resource properties of natural resources are economic attributes, environmental attributes, legal attributes, and political attributes, the values ​​of δ are 0.85, 0.9, 0.25, and 0.25, respectively.

[0049] Preferably, in step S2, for forest resources, its growth model W f as follows:

[0050]

[0051] Where N is the total number of forest resources, w fn is the biodiversity index of life cycle f and forest resources n, q fn is the management index of life cycle f and forest resources n, s fn is the life cycle f and the area of ​​forest resources n; where f∈F, F is the total life cycle;

[0052] For grassland resources, its growth model G f as follows:

[0053]

[0054] Where s fi is the area of ​​grassland resource i in life cycle f, T fi is the soil fertility of grassland resource i during life cycle f, and I is the total number of grassland resources; where F is 0.45, 0.76, 1, 0.33, and 0.1 in the seedling, growing, mature, senescent, and withering stages of grassland, respectively;

[0055] For aquatic grassland resources, its growth model WA f as follows:

[0056]

[0057] Where s fh is the area of ​​grassland resource h in life cycle f, D fh is the water resource utilization rate, is the water resources sustainable utilization index, η fh is the water resources supply and demand balance index, λ fh is the water resource health indicator, and H is the total number of grassland resources.

[0058] S3. Establish a natural resource asset assessment model based on natural resource evaluation indicators and natural resource sample data.

[0059] Step S3 specifically includes the following steps:

[0060] The sample data of each type of natural resources is input into the corresponding natural resource growth model for training to obtain a natural resource asset evaluation model.

[0061] In this embodiment, additional influencing factors may be added based on the characteristics of different natural resource types. For example, for forest and grassland resources, vegetation coverage may be considered as a supplementary influencing factor. For water resources, the distance from the water resource to the living area may also be considered as a supplementary influencing factor.

[0062] It should be noted that after adding influencing factors, the number of sample data also needs to be increased to provide sufficient data for training the model. The sample data must meet the requirement of M ≥ 30 or M ≥ 3*(N+1), where M is the number of sample data and N is the number of influencing factors.

[0063] Therefore, the present invention adopts the above-mentioned natural resource asset evaluation model construction method, classifies natural resources, and constructs a natural resource growth model based on the growth cycle and influencing factors, and then links the natural resource growth model based on the collected natural resource data to obtain a high-precision natural resource asset evaluation model.

[0064] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solutions of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for constructing a natural resource asset evaluation model, characterized in that: The following steps are involved: S1. Collect sample data of natural resources in the area to be assessed and define the types of natural resources according to the types; S2. Evaluate the growth process of natural resources at each stage, determine the evaluation index parameters based on the evaluation results, and consider the influencing factors to build a natural resource growth model; S3. Establish a natural resource asset assessment model based on natural resource evaluation indicators and natural resource sample data.

2. A method for constructing a natural resource asset evaluation model according to claim 1, characterized in that: The natural resource types described in step S1 include forest land, grassland, and water area.

3. A method for constructing a natural resource asset evaluation model according to claim 2, characterized in that: The influencing factors in step S2 include the property rights of natural resources α, the protection level β, and the resource nature δ, wherein when the property rights are public ownership, α=1, and when the property rights are private ownership, α=0.45; When the protection levels of natural resources are level I, level II, level III, and level IV, the values ​​of β are 0.25, 0.5, 0.75, and 1, respectively; When the resource properties of natural resources are economic attributes, environmental attributes, legal attributes and political attributes, the values ​​of δ are 0.85, 0.9, 0.25 and 0.25 respectively.

4. A method for constructing a natural resource asset evaluation model according to claim 3, characterized in that: In step S2, for forest resources, its growth model W f as follows: Where N is the total number of forest resources, w fn is the biodiversity index of life cycle f and forest resources n, q fn is the management index of the life cycle f and forest resources n, s fn is the life cycle f and the area of ​​forest resources n; where f∈F, F is the total life cycle; For grassland resources, its growth model G f as follows: In the formula, s fi is the area of ​​grassland resource i in life cycle f, T fi is the soil fertility of grassland resource i in life cycle f, I is the total number of grassland resources; where F is 0.45, 0.76, 1, 0.33, and 0.1 in the seedling stage, growth stage, maturity stage, senescence stage, and withering stage of grassland, respectively; For aquatic grassland resources, its growth model WA f as follows: In the formula, s fh is the area of ​​grassland resource h in life cycle f, D fh is the water resource utilization rate, is the water resources sustainable utilization index, η fh is the water resources supply and demand balance index, λ fh is the water resource health indicator, and H is the total number of grassland resources.

5. A method for constructing a natural resource asset evaluation model according to claim 4, characterized in that: Step S3 specifically includes the following steps: The sample data of each type of natural resources is input into the corresponding natural resource growth model for training to obtain the natural resource asset evaluation model.

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