CN-121581723-B - Regional natural resource utilization efficiency evaluation method considering both flow and stock

Abstract

The invention relates to the field of investigation, monitoring and accounting of natural resources, in particular to an area natural resource utilization efficiency evaluation method considering both flow and stock, which comprises the steps of determining a space boundary of a target area and defining a reference time point, dividing all natural resources belonging to a natural resource accounting category in the target area into two categories of stock resources and flow resources, carrying out accounting on each stock resource and each flow resource to obtain corresponding real objects, integrating the real objects of all the natural resources to a county scale to form county level statistical results, adopting an entropy weight method to process the county level statistical results to obtain comprehensive stock indexes and comprehensive flow indexes, constructing heterogeneous constraint factors based on three-region three-wire, taking the comprehensive stock indexes as input in each county, taking the comprehensive flow indexes as output, and evaluating the natural resource utilization efficiency through an SBM model introducing the heterogeneous constraint factors.

Inventors

• WANG YALIN
• HE YANLIANG
• YANG GUANGPU
• ZHANG BIN
• QIAN WENJIN
• CHEN JING
• FENG KEHAN
• TANG ZENGWEI
• LI ZHENG
• ZHANG YI
• XIAO HE
• CAI JUNFEI
• ZHOU HONGWEN
• Jing Dingqian
• Luo Hongran

Assignees

• 重庆市地理信息和遥感应用中心(重庆市测绘产品质量检验测试中心)

Dates

Publication Date

20260505

Application Date

20260128

Claims (5)

1. 1. A regional natural resource utilization efficiency evaluation method taking both flow and stock into consideration is characterized by comprising the following steps: S1, determining a space boundary of a target area, and determining a reference time point for evaluating the target area; s2, dividing all resources belonging to the natural resource accounting category in the target area into two categories of stock resources and flow resources, wherein: the natural resource accounting category encompasses natural resources that can be directly or indirectly assessed by the market, as well as ecosystem services derived therefrom; the stock resources are resources which have physical entities, exist for a long time, have relatively stable states, have definite reserve characteristics and physical attributes and can be directly measured by specific measurement units; The flow resource is derived from stock resources, has fluidity, is relatively abstract, is in dynamic change, and the quantity of the substance is easily influenced by external environment factors, and the flow resource accounting subjects comprise agriculture, forestry, animal husbandry and fishery products, carbon fixation, oxygen release, flood regulation, water source conservation, water quality purification, air purification, climate regulation and soil maintenance common service types; S3, accounting is carried out on each stock resource to obtain corresponding physical quantity; s4, based on a GEP accounting method and a biophysical process model, accounting all flow resources except for the agricultural, forestry, animal and fishery industries to obtain corresponding physical quantities; S5, integrating the physical quantities of all the resources belonging to the natural resource accounting category in the target area into the county scale uniformly to form a county level statistical result, wherein the county level statistical result comprises the physical quantities of all the resources in each county in the target area; S6, processing the county level statistical result by adopting an entropy weight method to obtain comprehensive stock indexes of all stock resources of each county in the target area and comprehensive flow indexes of all flow resources of each county in the target area; s7, constructing heterogeneous constraint factors of each county in the target area based on three-area three-wire construction; The step S7 includes: S71, respectively quantifying ecological protection red lines, permanent basic farmland protection red lines and town development boundaries in three-region three lines to obtain corresponding constraint factors, wherein the calculation formula is as follows: Wherein A Total (S) ,s represents the total area of administrative division of the s-th county, A Ecological system ,s represents the ecological protection red line area of the s-th county, f 1,s E [0,1] represents the ecological protection red line constraint factor of the s-th county, A Farm land ,s represents the permanent basic farmland protection red line area of the s-th county, f 2,s E [0,1] represents the permanent basic farmland protection red line constraint factor of the s-th county, beta represents a moderate duty ratio threshold, A Town ,s represents the town development boundary management area of the s-th county, f 3,s E [0,1] represents the town development boundary management constraint factor of the s-th county, and gamma represents a reasonable duty ratio threshold; s72, calculating entropy weight of each type of constraint factors, wherein the calculation formula is as follows: wherein p t,s e [0,1] represents the standard value of the t=1, 2,3 constraint factors of the s-th county, epsilon represents the minimum value correction coefficient, e t represents the information entropy of the t-th constraint factor, w t represents the entropy weight of the t-th constraint factor, and w 1 + w 2 + w 3 = 1;S represents the county number in the target area; s73, calculating a heterogeneous constraint factor according to the entropy weight of the constraint factor, wherein the calculation formula is as follows:
2. 2. wherein, alpha s epsilon [0,1] represents the heterogeneity constraint factor of the s-th county; s8, in each county, taking a comprehensive stock index as input, taking a comprehensive flow index as output, and evaluating the utilization efficiency of natural resources by introducing an SBM model of a heterogeneity constraint factor; in the SBM model with the heterogeneous constraint factors, the objective function is as follows: The constraint conditions are as follows: wherein ρ s ε [0,1] represents the natural resource utilization efficiency of the s-th county, Representing i comprehensive stock indexes Is used for the relaxation variables of (a), Represents the j-th integrated flow index Lambda s represents the weight coefficient of the S-th county, S represents the number of counties in the target area, alpha s epsilon 0,1 represents the heterogeneity constraint factor of the S-th county, The entropy weight representing the ith inventory resource, The entropy weight of the jth flow resource is represented, m represents the quantity of stock resources belonging to the natural resource accounting category in the target area, and n represents the quantity of flow resources belonging to the natural resource accounting category in the target area.
3. 3. The regional natural resource utilization efficiency evaluation method considering both traffic and stock as claimed in claim 1, wherein the mineral resources, land resources and water resources are stock resources, and step S3 comprises the steps of adopting different metering units to calculate the real quantity for different stock resources, including: Extracting mineral seeds of which reserves are ascertained and corresponding reserves of mineral resources from a mineral resource reserves database of a target area aiming at the mineral resources; Aiming at land resources, extracting secondary land class classification information from land change investigation data results of a target area at a reference time point by using geographic information system software, and calculating the total area of each secondary land class; and extracting reserve data of surface water and underground water from the water resource gazette issued by the target area at the reference time point aiming at the water resource, and summarizing and calculating to obtain the total water resource reserve of the target area.
4. 4. The regional natural resource utilization efficiency evaluation method for both traffic and inventory according to claim 1, wherein step S5 comprises: S51, if the accounting result of the resource is presented in the form of a grid layer, summarizing and counting the resource on the county scale by utilizing Zonal Statistics tools of the ArcGIS to obtain the physical quantity of the resource in each county in the target area; S52, if the accounting result of the resource is presented in the form of a vector layer, summarizing and counting the resource on the county scale by utilizing Summary Statistics tools of the ArcGIS to obtain the physical quantity of the resource in each county in the target area; s53, collecting the physical quantities of all the resources in each county in the target area, and forming a county level statistical result.
5. 5. The regional natural resource utilization efficiency evaluation method for both traffic and inventory according to claim 1, wherein step S6 comprises: S61, carrying out dimensionless treatment on the stock resource physical quantity and the flow resource physical quantity by adopting a minimum-maximum value standardization method to obtain corresponding standard physical quantity, wherein the calculation formula is as follows: Where x si represents the physical quantity of the i=1, 2 in the s-th county, y sj represents the physical quantity of the j=1, 2 in the s-th county, n-number of flow resources, m represents the number of storage resources belonging to the natural resource accounting category in the target area, and n represents the number of flow resources belonging to the natural resource accounting category in the target area; a standard real object quantity representing the ith stock resource in the s-th county, Representing the real object quantity of the jth flow resource in the s-th county; S62, introducing a smoothing factor and probabilistic conversion, and calculating the probabilistic value of each resource through standard physical quantity, wherein the calculation formula is as follows: In the formula, A minimum value correction coefficient, p si , a probability value of the ith stock resource in the s-th county, and q sj , a probability value of the jth flow resource in the s-th county; s63, calculating information entropy of each resource according to the probability value, wherein the calculation formula is as follows: In the formula, Information entropy representing the ith stock resource; information entropy of the jth flow resource is represented, and S represents the county number in the target area; S64, calculating entropy weight of each natural resource according to the information entropy theory, wherein the calculation formula is as follows: In the formula, The entropy weight representing the ith inventory resource, Entropy weight of the j-th flow resource is represented; S65, multiplying the standard physical quantity and the entropy weight of each stock resource to obtain a comprehensive stock index, and multiplying the standard physical quantity and the entropy weight of each flow resource to obtain a comprehensive flow index.

Description

Regional natural resource utilization efficiency evaluation method considering both flow and stock Technical Field The invention relates to the field of investigation, monitoring and accounting of natural resources, in particular to an area natural resource utilization efficiency evaluation method considering both flow and stock. Background With the development of global economy, the economic attributes of natural resources in market economic operation are increasingly prominent. Natural resources not only provide survival and welfare for human beings, but also participate in market activities such as element supply, financing loan, funding and straying. In this context, assessing natural resource utilization efficiency from the perspective of capitalization management has become an important requirement in current administrative management. At present, related works mainly face the following problems: In the natural resource accounting and quantization process, a systematic framework is not formed yet, and uniform dimension treatment and standardized evaluation (for example, land metering in area, mineral resources metering in mass or volume and the like) are difficult to carry out on the multi-source heterogeneous natural resources. The physical dimension difference of different resource types causes the lack of reliable reference for comprehensive evaluation, and directly influences the accuracy of the accounting result and the cross-regional comparability thereof. The research on the dynamic association mechanism between natural resource stock and traffic is obviously insufficient. The existing method can rarely and effectively describe the internal relation between the stock and the flow, so that the natural resource utilization efficiency evaluation lacks dynamic dimension support, and is difficult to adapt to diversified natural resource management requirements. The existing natural resource utilization efficiency evaluation method does not fully consider the influence of constraint factors such as ecological protection red lines, town development boundaries, permanent basic farmland boundaries and the like. This makes it difficult for the evaluation result to reflect the boundary effect of the rigid constraint on the resource utilization, and also weakens the practical guiding significance of the accounting conclusion on the decision support. Disclosure of Invention In order to solve the above problems, the present invention provides a regional natural resource utilization efficiency evaluation method that combines flow and stock, including: S1, determining a space boundary of a target area, and determining a reference time point for evaluating the target area; s2, dividing all resources belonging to the natural resource accounting category in the target area into two categories of stock resources and flow resources, wherein: The natural resource accounting category encompasses natural resources that can be directly or indirectly assessed by the market, as well as ecosystem services derived therefrom, which are also a type of natural resource; The stock resources are resources which have physical entities, exist for a long time, have stable states, have definite reserve characteristics and physical attributes and can be directly measured in a metering unit; traffic resources are resources derived from stock resources, have fluidity, are in dynamic change, and the actual amount of the traffic resources is easily influenced by external environmental factors; S3, accounting is carried out on each stock resource to obtain corresponding physical quantity; s4, based on a GEP accounting method and a biophysical process model, accounting all flow resources except for the agricultural, forestry, animal and fishery industries to obtain corresponding physical quantities; S5, integrating the physical quantities of all the resources belonging to the natural resource accounting category in the target area into the county scale uniformly to form a county level statistical result, wherein the county level statistical result comprises the physical quantities of all the resources in each county in the target area; S6, processing the county level statistical result by adopting an entropy weight method to obtain comprehensive stock indexes of all stock resources of each county in the target area and comprehensive flow indexes of all flow resources of each county in the target area; s7, constructing heterogeneous constraint factors of each county in the target area based on three-area three-wire construction; S8, in each county, taking the comprehensive stock index as input, taking the comprehensive flow index as output, and evaluating the utilization efficiency of natural resources through an SBM model with the heterogeneous constraint factors introduced. The invention has the beneficial effects that: The invention provides a set of natural resource accounting and quantization frames and corresponding step methods whic