Method and device for evaluating performance of rural industrial land

Abstract

The invention discloses a method and a device for evaluating the performance of a rural industrial land. The method comprises the following steps: compiling a rural industrial land investigation base map; establishing a rural industrial land base number information base; constructing a multi-dimensional rural industrial land performance evaluation index system; the evaluation indexes are quantified, and the weights of the evaluation indexes are determined; carrying out weighted summation on each quantitative evaluation index and the weight, and carrying out fractal dimension and comprehensive evaluation and grading based on performance multi-factor superposition analysis; and identifying the rural low-efficiency industrial land and extracting the rural low-efficiency industrial land into a low-efficiency industrial land library to generate a rural low-efficiency industrial land identification distribution map. The method has the remarkable effects that the rapid identification of the rural low-efficiency industrial land on the micro scale of the land parcel is realized, and the problem of transformation of the rural low-efficiency industrial land is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of quantitative evaluation of rural land use performance, and in particular to a method and device for evaluating the performance of rural industrial land. Background Art

[0002] Industrialization is the main driving force of urbanization. The rapid industrialization process has accelerated urban and rural development and is crucial to urban and rural economic growth and functional structure optimization. As the scale of urban and rural construction land in many regions approaches its limit, the expansion of industrial land and the inefficient use of land coexist, and the development model characterized by land consumption needs to be changed urgently. Land is a scarce and non-renewable resource. With the entry into the new urbanization stage, the performance evaluation of existing industrial land and the identification of inefficiently used space have become important issues in the research and practice of national land space planning.

[0003] The earliest research on the performance evaluation of industrial land can be traced back to the rent theory of classical political economics. The relevant research content is rich, the scale is diverse, the system is multidimensional, and the methods are diverse. Most of the research contents focus on the performance evaluation of different utilization methods, such as the economic benefit evaluation of land use, the sustainable development evaluation of construction land, etc., and on this basis, it is expanded to the evaluation of the utilization efficiency of industrial land and the intensive utilization evaluation of industrial land, focusing on the intensity of land development, input-output benefits and ecological and environmental benefits. The research scale is mainly based on the macro and meso evaluation of various spatial scopes such as provinces, urban agglomerations, cities, and parks. By analyzing the performance levels and differences at different scales, the influencing mechanism of industrial land performance between regions is revealed, and attempts are made to explore the formulation of management policies. However, there is less discussion on the more refined micro scale with plots as evaluation units. The evaluation system dimensions mostly consider the input and output efficiency of industrial land as well as the economic, social and ecological benefits, and gradually establish a multidimensional performance evaluation index system. The research methods mainly adopt the hierarchical analysis method, the composite index method, the Delphi method, the entropy method, etc., or use the Bayesian discriminant function method, or compile performance coding, etc.

[0005] Given that the existing research level of industrial land performance evaluation has not yet reached the map accuracy required for industrial land renewal, and there are few "plot" micro-scale studies at the rural level, there is a lack of comprehensive and accurate evaluation of rural industrial land transformation, and even more of a lack of more effective performance evaluation, making it impossible to form a correct, objective and scientific evaluation of the effectiveness of rural industrial land.

[0006] Therefore, it is urgent to invent a method and device for evaluating the performance of rural industrial land, aiming to more comprehensively and quantitatively evaluate the development quality and performance level of rural industrial land and solve the problem of "rural inefficient industrial land transformation". This method can not only comprehensively improve the performance of rural industrial land and optimize the rural industrial layout, but also provide a reference for local governments to formulate inefficient industrial land determination standards and differentiated rural industrial land transformation policy formulation. Summary of the invention

[0007] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a method and device for evaluating the performance of rural industrial land, so as to solve the technical problems that the existing industrial land performance evaluation lacks micro-scale research on the "plot" at the rural level, lacks a comprehensive and accurate evaluation of the transformation of rural industrial land, and lacks a more effective performance evaluation, and cannot form a correct, objective and scientific evaluation of the effectiveness of rural industrial land.

[0008] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0009] In a first aspect, the present invention provides a method for evaluating the performance of rural industrial land, which comprises the following steps:

[0010] S1. Prepare a base map of rural industrial land survey based on the basic attribute information of land survey data;

[0011] S2. Obtain information on rural industrial enterprises and establish a rural industrial land base information database;

[0012] S3. Construct a multi-dimensional rural industrial land performance evaluation index system;

[0013] S4. Quantify the performance evaluation indicators of rural industrial land and determine the weights of the evaluation indicators using the AHP and entropy methods;

[0014] S5. Perform weighted summation of each quantitative evaluation index and weight, conduct dimensional and comprehensive evaluation and grading based on multi-factor superposition analysis of performance;

[0015] S6. Identify inefficient rural industrial land and extract it into the inefficient industrial land database to generate a rural inefficient industrial land identification distribution map.

[0016] Furthermore, the preparation of the rural industrial land survey base map in step S1 includes the following steps:

[0017] S11. Using the data of the third national land survey as the basic element base, the plots with DLTB of "GYYD" in the survey data were extracted through the ArcGIS platform, and the plots located in the central urban area, the development boundaries of each street / town and the development zone were eliminated as the basic plots for the survey;

[0018] S12. By comparing with the high-resolution images of 2020 and performing manual interpretation, the plots recorded as industrial land in the survey data but actually non-industrial land are eliminated; the plots recorded as non-industrial land in the survey data but actually industrial land are supplemented, and further verification is carried out based on field surveys later;

[0019] S13. Superimpose the 2020 administrative boundary data, automatically encode the rural industrial land according to the "street / town code + serial number" method, determine the unique plot code BSM for each plot of rural industrial land, and draw a rural industrial land survey base map.

[0020] Furthermore, the establishment of the rural industrial land base information database in step S2 includes the following steps:

[0021] S21. Use rural industrial land survey methods to conduct data surveys and obtain information on seven categories of rural industrial enterprises, including basic information, business data, ownership information, employment population, contract status, pollution and energy consumption, and construction information;

[0022] S22. Perform topological inspection, verification, cleaning and correction on the collected rural industrial land survey data based on the current situation survey results, and retain necessary fields and attribute table information;

[0023] S23. Connect the attribute table information to the rural industrial land, establish a rural industrial land base information database, and provide current status photos, satellite images, and topographic maps.

[0024] Furthermore, the step S3 of constructing a multi-dimensional rural industrial land performance evaluation index system includes the following steps:

[0025] Based on the rural industrial land survey base map and the rural industrial land base information database, a multi-dimensional rural industrial land performance evaluation index system with 4 performance dimensions and 17 indicators was constructed;

[0026] Among them, the four performance dimensions are economic performance, social performance, ecological performance and land use structure performance;

[0027] The 17 indicators are annual total output value, annual total profit and tax, average industrial output value per unit area, average industrial profit and tax per unit area, average number of employees per unit area, transportation accessibility, location suitability for development, average nearest distance, pollutant emissions per unit of industrial output value, gas consumption per unit of industrial output value, electricity consumption per unit of industrial output value, ecological space control, floor area ratio, building density, land use scale, property rights nature, and construction year.

[0028] Furthermore, in step S4, the rural industrial land performance evaluation index is quantified, and the weight of the evaluation index is determined by using the AHP analytic hierarchy process and the entropy method, including the following steps:

[0029] S41. Select the z-score standardization method to standardize the original indicator data of the four dimensions of economic performance, social performance, ecological performance and land use structure performance;

[0030] S42. The AHP hierarchical analysis method is combined with the entropy method to calculate the weight value W of the rural industrial land performance evaluation index.

[0031] Furthermore, in step S5, weighted summation is performed on each quantitative evaluation index and weight, and subdimension and comprehensive evaluation and grading are carried out based on multi-factor superposition analysis of performance, including the following steps:

[0032] S51, calculating the score of a single evaluation indicator according to the indicator quantization value and weight value obtained in step S4, and after weighted summing up each indicator, calculating the sub-dimensional performance and comprehensive performance evaluation score of rural industrial land;

[0033] S52. Based on the multi-factor superposition analysis of the four-dimensional indicator layers of economic performance, social performance, ecological performance and land use structure performance, the rural industrial land sub-dimension and comprehensive performance evaluation are carried out;

[0034] S53. Based on the comprehensive performance evaluation scores of rural industrial land, the natural breakpoint method is used to divide them into five performance levels from low to high, namely low, lower, general, higher and high, and differentiated reduction and renewal strategies are formulated.

[0035] Furthermore, generating the rural inefficient industrial land identification distribution map in step S6 includes the following steps:

[0036] S61. Based on the results of the comprehensive performance evaluation score interval division and the implementation strength of the redevelopment of inefficient land in the target area, select appropriate intervals as evaluation criteria to determine the rural inefficient industrial land and extract them into the inefficient industrial land database;

[0037] S62. Integrate the spatial and attribute information of all identified rural inefficient industrial land into a “one Figure 1 A rural inefficient industrial land identification distribution map is generated on the “Table”.

[0038] In a second aspect, the present invention provides a device for evaluating the performance of rural industrial land, the device comprising:

[0039] In a third aspect, the present invention provides a computer device comprising a processor, a user interface, a network interface and a memory connected via a communication bus; the memory stores computer application instructions that can be executed on the processor, and the processor implements the method described in the first aspect when loading and executing the computer application instructions.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium having computer application instructions stored thereon, and when the computer application instructions are loaded and executed by a processor, the method described in the first aspect above can be implemented.

[0041] Compared with the prior art, the present invention has the following remarkable effects:

[0042] 1. The present invention utilizes precise and quantitative rural industrial land survey data and relies on a visual geographic information platform to propose a "plot" micro-scale rural industrial land performance evaluation method, which comprehensively considers the interaction of the four performance dimensions of "economy-society-ecology-land structure". It can accurately and quantitatively evaluate the development quality and performance level of rural industrial land, realize dynamic monitoring and management of rural industrial land performance, and provide a basis for regulatory authorities to formulate reasonable rural industrial land transformation policies and promote rural industrial transformation and upgrading.

[0043] 2. The present invention can realize the rapid identification of inefficient rural industrial land at the "micro" scale of the plot, thereby forming an identification technology system based on multi-scenario simulation, solving the problems of wide and scattered distribution of inefficient rural industrial land, difficult identification, and complex evaluation, and making up for the limitations of the means of identifying inefficient rural industrial land. In addition, the present invention is also applicable to the performance evaluation of existing commercial and residential land and the identification of inefficiently used space. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of a method step for evaluating the performance of rural industrial land provided by an embodiment of the present invention;

[0046] Figure 2 It is a framework diagram of a multi-dimensional rural industrial land performance evaluation index system provided by an embodiment of the present invention;

[0047] Figure 3 This is a schematic diagram of multi-factor superposition analysis of comprehensive performance of rural industrial land provided by an embodiment of the present invention;

[0048] Figure 4 This is a schematic diagram of the classification of the comprehensive performance evaluation scores of rural industrial land provided by an embodiment of the present invention;

[0049] Figure 5 It is a schematic diagram of kernel density analysis for identifying and distributing inefficient industrial land in rural areas provided by an embodiment of the present invention;

[0050] Figure 6 It is a schematic diagram of the structure of a device for evaluating the performance of rural industrial land provided by an embodiment of the present invention.

[0051] Figure 7It is a schematic diagram of the physical structure of a computer device provided by an embodiment of the present invention.

[0052] Explanation of the accompanying drawings: 101, integration and compilation module; 102, information acquisition module; 103, system construction module; 104, weight determination module; 105, performance evaluation module; 106, identification and generation module. DETAILED DESCRIPTION

[0053] The specific implementation manner and working principle of the present invention are further described in detail below with reference to the accompanying drawings.

[0054] The embodiments of the present invention aim at the defects that the existing industrial land performance evaluation lacks the micro-scale research of "plots" at the rural level, lacks a comprehensive and accurate evaluation of the transformation of rural industrial land, and lacks a relatively effective performance evaluation, and cannot form a correct, objective and scientific evaluation of the effectiveness of rural industrial land. Thus, a method and device for evaluating the performance of rural industrial land are provided, which comprehensively considers the interaction of the four performance dimensions of "economy-society-ecology-land structure", can accurately quantify and evaluate the development quality and performance level of rural industrial land, and provide a scientific and feasible evaluation tool for research.

[0055] like Figure 1 As shown, a method for evaluating the performance of rural industrial land in an embodiment of the present invention comprises the following specific steps:

[0056] S1. Integrate the basic attribute information of the third national land survey data and compile a base map for rural industrial land survey;

[0057] S2. Take the form of rural industrial land survey to obtain information on rural industrial enterprises and establish a rural industrial land base information database;

[0058] S3. Construct a multi-dimensional rural industrial land performance evaluation index system;

[0059] S4. Quantify the performance evaluation indicators of rural industrial land and determine the weights of the evaluation indicators using the AHP and entropy methods;

[0060] S5. Perform weighted summation of each quantitative evaluation index and weight, conduct dimensional and comprehensive evaluation and grading based on multi-factor superposition analysis of performance;

[0061] S6. Further identify inefficient rural industrial land and extract it into the inefficient industrial land database to generate a rural inefficient industrial land identification distribution map.

[0062] In one embodiment, the process of integrating the basic attribute information of the third national land survey data and compiling a rural industrial land survey base map comprises the following steps:

[0063] S11. Using the data of the third national land survey as the basic element base, the plots with DLTB of "GYYD" in the survey data were extracted through the ArcGIS platform, and the plots located in the central urban area, the development boundaries of each street / town and the development zone were eliminated as the basic plots for the survey;

[0064] S12. By comparing with the high-resolution images of 2020 and performing manual interpretation, the plots recorded as industrial land in the survey data but actually non-industrial land are eliminated; the plots recorded as non-industrial land in the survey data but actually industrial land are supplemented, and further verification is carried out based on field surveys later;

[0065] S13. Superimpose the 2020 administrative boundary data, automatically encode the rural industrial land according to the "street / town code + serial number" method, determine the unique plot code BSM for each plot of rural industrial land, and draw a rural industrial land survey base map.

[0066] In specific applications, the administrative boundaries of 4 streets and 7 towns in Wujiang District in 2020 are obtained from Tiandi Map, totaling 11 administrative boundaries. The rural industrial land map layer is superimposed with the administrative boundary layer, and the rural industrial land parcels are automatically numbered in the form of "street / town code + serial number" according to the spatial inclusion relationship, and the unique land parcel code BSM of each rural industrial land parcel is determined to determine the spatial location and basic attribute information of the rural industrial land base map in the survey area, and compile a rural industrial land survey base map as the basic element base for the current status survey of rural industrial land. In the end, there were 4,832 rural industrial land parcels with a total area of ​​47.52 square kilometers.

[0067] In one embodiment, the rural industrial land survey is used to obtain rural industrial enterprise information and establish a rural industrial land base information database, which includes the following steps:

[0068] S21. Use rural industrial land survey methods to conduct data surveys and obtain information on seven categories of rural industrial enterprises, including basic information, business data, ownership information, employment population, contract status, pollution and energy consumption, and construction information;

[0069] In specific applications, due to the complex property structure of rural industrial land, cumbersome data and difficulty in obtaining, in order to obtain accurate and detailed rural industrial enterprise data, the rural industrial land survey method was used to conduct a comprehensive and detailed on-site investigation of the actual construction status of rural industrial land in Wujiang District, supplemented by enterprise interviews, paper questionnaires, online questionnaires and other methods. The Urban Renewal Office of the Wujiang District Natural Resources and Planning Bureau took the lead in organizing and coordinating the survey, and each street / town was responsible for the specific survey work within its jurisdiction. The specific information in the questionnaire was filled in by the street / town staff.

[0070] The contents of the rural industrial land survey are shown in Table 1, including 28 questions in 7 categories of information, including basic information, business data, ownership information, employed population, contract status, pollution energy consumption, construction information, etc. Specifically, they include: plot code, town to which it belongs, village name, legal person / contact person, contact information, company name, industry category, annual total output value, annual total tax revenue, annual net profit, land certificate number, land ownership classification, land use status, land property nature, local population, number of migrant population, lease contract, land rent, factory rent, sublease status, annual total sewage discharge, annual total gas consumption, annual total electricity consumption, land area, building area, number of factory floors, construction year, and building quality.

[0071] Table 1 Rural industrial land survey information

[0072]

[0073] S22. Perform topological inspection, verification, cleaning and correction on the collected rural industrial land survey data based on the current situation survey results, and retain necessary fields and attribute table information;

[0074] S23. Connect the attribute table information to the rural industrial land through the spatial connection tool of ArcGIS 10.8 software, establish a "one site, one file" information database for rural industrial land, and provide it with current status photos, satellite images, topographic maps, etc.

[0075] In specific applications, ArcGIS is used as the working platform, and the rural industrial land table survey data is connected to the rural industrial land spatial database according to the land parcel code BSM, so as to achieve the spatial correspondence between land parcels and enterprises and form a "one land, one file" information database for land parcels and enterprises. In the entire Wujiang District, all rural industrial land surveys have been completed, of which 4,780 rural industrial land plots can be evaluated, with a total area of ​​45.87 square kilometers.

[0076] In one embodiment, the construction of a multi-dimensional rural industrial land performance evaluation index system includes the following steps:

[0077] Based on the rural industrial land survey base map and the rural industrial land base information database, a multi-dimensional rural industrial land performance evaluation index system with 4 performance dimensions and 17 indicators was constructed;

[0078] Among them, the four performance dimensions are economic performance, social performance, ecological performance and land use structure performance. Economic performance is the essential attribute for measuring the overall development quality and level of rural industrial land; social performance is an important support for ensuring the high-quality development of rural industrial land; ecological performance is the demand orientation for meeting the basic requirements of rural ecological civilization; and land use structure performance is the policy goal for the transformation and development of rural industrial land.

[0079] Among them, 17 indicators are 4 indicators reflecting the economic performance of each village industrial land, including annual total output value, annual total profit and tax, per unit industrial output value, and per unit industrial profit and tax; 4 indicators reflecting the social performance of each village industrial land, including per unit employees, traffic accessibility, location suitability for development, and average nearest distance; 4 indicators reflecting the ecological performance of each village industrial land, including pollutant emissions per unit industrial output value, gas consumption per unit industrial output value, electricity consumption per unit industrial output value, and ecological space control; 5 indicators reflecting the land use structure performance of each village industrial land, including floor area ratio, building density, land use scale, property rights nature, and construction year.

[0080] In one embodiment, the quantitative rural industrial land performance evaluation index, using the AHP analytic hierarchy process and entropy method to determine the weight of the evaluation index includes the following steps:

[0081] S41. Select the z-score standardization method to standardize the original indicator data of the four dimensions of economic performance, social performance, ecological performance and land use structure performance to eliminate the differences in the dimensions, magnitude and quantitative changes of each evaluation indicator;

[0082] In specific applications, the original indicator data in the four dimensions of economic performance, social performance, ecological performance and land use structure performance are subjected to z-score standardization, and the calculation formula is:

[0083]

[0084] Among them, X ij is the original data of the i-th (i=1, 2, ..., m) object at the j-th (j=1, 2, ..., n) index; V ij is the standardized value of the jth indicator of the ith object, ranging from 0 to 1; Max{X ij} and Min{X ij} are the maximum and minimum values ​​of the jth indicator of the ith object respectively.

[0085] Please refer to Table 2 for the quantitative description of each evaluation index.

[0086] Economic performance is as follows: The four “plot” levels, namely, annual total output value, annual total profit and tax, per-unit industrial output value, and per-unit industrial profit and tax, are selected to measure economic performance. The annual total output value and annual total profit and tax of rural industrial land are obtained using the spatial connection tool of ArcGIS 10.8 software. The calculation formulas of per-unit industrial output value and per-unit industrial profit and tax are shown in formulas 1 and 2. The area of ​​rural industrial land is calculated using the computational geometry tool of ArcGIS 10.8 software.

[0087] Formula 1: Average industrial output value per unit area = annual total output value of rural industrial land / area of ​​rural industrial land

[0088] Formula 2: Average industrial profits and taxes per unit area = Annual total profits and taxes of rural industrial land / Area of ​​rural industrial land

[0089] Social performance is as follows: Four indicators, namely, employees per land, traffic accessibility, location suitability, and average minimum distance, are used to measure social performance to ensure the high-quality development of rural industrial land. The employees per land reflects the development potential of rural industrial enterprises. The calculation formula is shown in Formula 3. The area of ​​rural industrial land is calculated using the computational geometry tool of ArcGIS 10.8 software.

[0090] Formula 3: Number of employees per land = Number of employees in rural industrial enterprises / Area of ​​rural industrial land

[0091] Traffic accessibility refers to the distance from rural industrial land to the edge of the nearest highway, national highway, provincial highway, county highway and other major transportation arteries, which is calculated using the buffer analysis tool of ArcGIS 10.8 software.

[0092] The degree of location suitability for development refers to the degree of suitability for development of the location of rural industrial land. According to the "Double Hundred Action" Work Plan for Industrial Land in Suzhou City, the judgment standard is whether the rural industrial land is located in the three-level industrial division of "industrial base, industrial community, and industrial block". The quantitative value of the land is 9, otherwise the quantitative value of the land is 1.

[0093] The average nearest distance refers to the average distance between rural industrial land and its nearest rural industrial land, reflecting the spatial agglomeration degree of rural industrial land patches, and is calculated using the average nearest neighbor tool of ArcGIS 10.8 software.

[0094] Ecological performance is as follows: pollutant emissions per unit of industrial output value, gas consumption per unit of industrial output value, electricity consumption per unit of industrial output value, and ecological space control are used to measure ecological performance. The calculation formulas for pollutant emissions per unit of industrial output value, gas consumption per unit of industrial output value, and electricity consumption per unit of industrial output value are shown in formulas 4-6. The annual pollutant emissions, annual gas consumption, annual electricity consumption, and annual total output value of rural industrial enterprises are obtained using the spatial connection tool of ArcGIS 10.8 software.

[0095] Formula 4: Pollutant emissions per unit of industrial output value = Annual pollutant emissions of rural industrial enterprises / Annual total output value of rural industrial land

[0096] Formula 5: Gas consumption per unit of industrial output value = Annual gas consumption of rural industrial enterprises / Annual total output value of rural industrial land

[0097] Formula 6: Electricity consumption per unit of industrial output value = annual electricity consumption of rural industrial enterprises / annual total output value of rural industrial land

[0098] In terms of ecological space control, the judgment standard is whether the rural industrial land is located in ecological space areas such as the ecological protection red line and the ecological control zone. If so, the quantitative value of the land is 1; otherwise, the quantitative value of the land is 9.

[0099] The land use structure performance is as follows: the indicators for measuring land use structure performance mainly include five important indicators: floor area ratio, building density, land scale, property rights and construction year. The calculation formulas for floor area ratio and building density are shown in formulas 7 and 8. The total area of ​​rural industrial buildings and building area are obtained based on the building outline data through the spatial connection tool of ArcGIS 10.8 software, and the area of ​​rural industrial plots is calculated through the computational geometry tool of ArcGIS 10.8 software.

[0100] Formula 7: Floor area ratio = total area of ​​rural industrial buildings / area of ​​rural industrial plots

[0101] Formula 8: Building density = rural industrial building area / rural industrial land area

[0102] Land scale refers to the size of the rural industrial land parcel. The quantitative value is the area of ​​the rural industrial land, which is obtained through the computational geometry tool of ArcGIS 10.8 software. Property nature refers to the ownership of rural industrial land, which is divided into state-owned and collective. The quantitative value of the land property nature of "state-owned" is 7, and that of "collective" is 3.

[0103] The construction year refers to the year when the rural industrial buildings were built, reflecting the new and old conditions of the buildings. The quantitative value given to the construction year is 3 for "before 2004", 5 for "2005-2009", 7 for "2010-2014", and 9 for "after 2015".

[0104] Table 2 Quantitative expression of evaluation indicators

[0105]

[0106] S42. The weight calculation of evaluation index adopts the combination of AHP hierarchical analysis method and entropy method to determine the weight value W of rural industrial land performance evaluation index, ranging from 0 to 1.

[0107] In specific applications, the AHP hierarchical analysis method is combined with the entropy method to determine the indicator weights, and the sum of the indicator weights is 1. The steps are as follows:

[0108] (1) Using yaahp software to establish a hierarchical analysis model, invite experts (more than 20 people) to judge the relative importance of the selected indicators, score them from 1 to 9, establish a judgment matrix through pairwise comparison, normalize the scores and pass the consistency test;

[0109] (2) Determine the index value ratio P of the jth evaluation index of the i-th evaluation object ij , Entropy value E j and weight coefficient W j , the calculation formula is as follows:

[0110]

[0111] Among them, P ij is the proportion of the i-th (i=1, 2, ..., m) object in the j-th (j=1, 2, ..., n) indicator; E j is the value of the jth indicator of the ith object; W j is the weight value of the jth indicator of the ith object.

[0112] (3) The basic weights calculated by the AHP and entropy method are weighted averaged at 50% each to obtain the weight value W of each evaluation index, ranging from 0 to 1, as shown in Table 3.

[0113] Table 3 Weights of performance evaluation indicators for rural industrial land

[0114]

[0115]

[0116] In one embodiment, the weighted summation of each quantitative evaluation index and weight in step S5, and the dimensionalization and comprehensive evaluation and grading based on the multi-factor superposition analysis of performance include the following steps:

[0117] S51. Calculate the score of a single evaluation index according to the index quantification value and weight value, and after weighted summation of each index, calculate the sub-dimensional performance and comprehensive performance evaluation score of rural industrial land;

[0118] In specific applications, the scores of the sub-dimensional performance and comprehensive performance evaluation are the sum of the products of each evaluation index and its corresponding weight value. The calculation formula is as follows:

[0119]

[0120] Among them, RILP is the performance evaluation score of rural industrial land; W j is the weight value of the jth (j=1, 2, ..., n) indicator; V ijis the z-score standardized value of the jth (j=1, 2, …, n) indicator of the ith (i=1, 2, …, m) object; n is the total number of evaluation indicators (n=1, 2, 3, …, 17).

[0121] S52. Based on the multi-factor superposition analysis of the four-dimensional indicator layers of economic performance, social performance, ecological performance and land use structure performance, the rural industrial land sub-dimension and comprehensive performance evaluation are carried out;

[0122] In specific applications, such as Figure 3 As shown in the figure, the dimensional performance and comprehensive performance evaluation results of rural industrial land in Wujiang District are as follows:

[0123] The economic performance shows the polarization of scale efficiency, as shown in Table 4.

[0124] Table 4 Regional statistics of evaluation results of economic performance indicator layer

[0125]

[0126] As can be seen from Table 4, the average annual total output value of the high, medium and low score ranges were 62.1692 million yuan, 4.8307 million yuan and 19,300 yuan respectively; the average annual total profits and taxes were 1.6873 million yuan, 258,200 yuan and 4,300 yuan respectively; the average industrial output value per mu was 4.5121 million yuan / mu, 504,600 yuan / mu and 2,300 yuan / mu respectively; the average industrial profits and taxes per mu were 135,800 yuan / mu, 22,900 yuan / mu and 4,000 yuan / mu respectively. It can be seen that the economic scale gap and output efficiency difference in different economic performance score ranges show a huge disparity, and the polarization of scale efficiency is quite serious.

[0127] Social performance is manifested in low traffic accessibility, high land fragmentation, and room for improvement in spatial agglomeration. As shown in Table 5, the average number of employees per mu in the high, medium, and low score ranges is 53.57, 59.38, and 4.80 respectively; the mean traffic accessibility is 373.01m, 349.67m, and 499.74m respectively; and the average closest distance is 67.79m, 71.06m, and 119.55m respectively.

[0128] Table 5 Regional statistics of evaluation results of social performance indicators

[0129]

[0130] The overall ecological performance evaluation score is low, and there are some plots and industries that consume too much energy. As shown in Table 6, the number and scale of land use in the high, medium and low score ranges are relatively balanced, but the pollutant emissions per unit of industrial output value of rural industrial land in the low score area are 120,500 tons / 10,000 yuan, and the gas consumption is 31.35m3 / 10,000 yuan, and electricity consumption is 240,400 kWh / 10,000 yuan, which is far behind the medium and high score areas. In addition, low-scoring rural industrial land in ecological space control areas such as permanent basic farmland is a key and difficult point in subsequent planning and control.

[0131] Table 6 Zoning statistics of evaluation results of ecological performance indicator layer

[0132]

[0133] The land use structure has high performance, but the development intensity is low, and the land use structure needs to be optimized urgently. As shown in Table 7, the average number of floors of rural industrial land in the low-score area is 1.52, and the average land area is 7.94 mu, but its average floor area ratio is 0.50 and the building density is 36.41%. The floor area ratio and building density are much lower than the median area of ​​0.72, 51.92% and the high-value area of ​​0.90, 63.26%. It can be seen that the intensive utilization of rural industrial land is low, and the development intensity still has a lot of room for improvement. In addition, the proportion of collective rural industrial land is high, and the land property rights are complex.

[0134] Table 7 Zoning statistics of land use structure performance indicator evaluation results

[0135]

[0136] Based on the single-dimensional analysis of the above four dimensions, a comprehensive performance evaluation of rural industrial land is further conducted, with a score of 0 to 100, to reflect the development quality and performance level of rural industrial land.

[0137] Based on the performance multi-factor superposition analysis, weighted scoring is used to determine the performance level of each evaluation plot. The lighter the color of the plot, the lower the performance score, and the land should be reduced and updated as soon as possible; on the contrary, the darker the color of the plot, the higher the performance score, and the industrial land attributes should be retained and appropriate safeguards should be taken. Wujiang District evaluated the performance of 4,780 rural industrial land plots, with scores ranging from 13.98 to 80.08. It can be seen that the overall performance evaluation score is not high, and there is a large gap between high and low scores.

[0138] S53. Based on the comprehensive performance evaluation scores of rural industrial land, the natural breakpoint method is used to divide them into five performance levels from low to high, namely low, lower, general, higher and high, and then differentiated reduction and renewal strategies are formulated.

[0139] In specific applications, such as Figure 5As shown in the figure, the comprehensive performance evaluation scores of rural industrial land are divided into five levels from low to high according to the natural breakpoint method, namely low performance, medium-low performance, medium performance, medium-high performance and high performance. The comprehensive performance levels and area proportions of rural industrial land in Wujiang District are: low performance accounts for 26.13%, medium-low performance accounts for 18.06%, medium performance accounts for 13.87%, medium-high performance accounts for 21.78%, and high performance accounts for 20.15%; the number of plots is: low performance 1535 plots, medium-low performance 907 plots, medium performance 756 plots, medium-high performance 957 plots, and high performance 625 plots. Overall, rural industrial land with low performance and medium-low performance accounts for a large proportion.

[0140] As shown in Table 8, there are obvious spatial differences in the comprehensive performance level of rural industrial land. Low-performance rural industrial land is concentrated in Zhenze Town and Lili Town, including 401 and 261 plots, respectively, with an area of ​​228.36 and 202.92 hm 2 Zhenze Town has the largest number of low- and medium-performance land (227 plots), with an area of ​​177.12hm 2 The medium-performance land is mainly concentrated in Lili Town (178 plots), Qidu Town (134 plots) and Zhenze Town (123 plots), with an area of ​​112.90, 98.97 and 105.80 hm2 respectively. 2 Shengze Town has the most medium and high performance land (211 plots), followed by Lili Town (182 plots), with areas of 266.63 and 176.88 hm2 respectively. 2 ; High-performance land is mainly concentrated in Qidu Town (143 plots) and Zhenze Town (104 plots), with an area of ​​181.14 and 122.60 hm respectively 2 .

[0141] Table 8 Number and area of ​​rural industrial land performance level in each town (block / hm2) 2 )

[0142]

[0143] According to the performance evaluation results of rural industrial land and the land space transformation policy, differentiated reduction and renewal strategies are formulated. Among them, high and relatively high performance land use has a high evaluation score (50 points and above), and the current total output value and total profit and tax are approximately 82.666 billion yuan (accounting for 94.96%) and 2.250 billion yuan (accounting for 89.57%), respectively. The land use efficiency is high and the current output efficiency is good. The industrial land attributes are retained and the production capacity is continuously improved; the medium performance land use has a moderate evaluation score (between 40 and 50 points), and the current total output value and total profit and tax are approximately 3.980 billion yuan (accounting for 4.57%) and 236 million yuan (accounting for 9.39%), respectively. The focus is on promoting industrial upgrading, transformation, and expansion. The low- and medium-performance land use evaluation scores are relatively low (between 30 and 40 points). The current total output value and total profits and taxes are approximately 399 million yuan (only 0.46%) and 24 million yuan (0.96%) respectively. They are no longer suitable for industrial production. It is advisable to promote the reduction of rural industrial land through land function replacement and improvement of rural service facilities; The low-performance land use evaluation score is the lowest (less than 30 points), and the land use efficiency is generally low. The current total output value and total profits and taxes are approximately 10.7589 million yuan and 664,100 yuan respectively. The focus is on considering the withdrawal of reduced rural industrial enterprises and spatial reuse.

[0144] In one embodiment, further identifying rural inefficient industrial land and extracting it into an inefficient industrial land database to generate a rural inefficient industrial land identification distribution map comprises the following steps:

[0145] S61. Based on the comprehensive performance evaluation score interval division and the implementation strength of the redevelopment of inefficient land in the target area, select the appropriate interval as the evaluation standard to determine the rural inefficient industrial land and extract it into the inefficient industrial land database;

[0146] S62. Integrate the spatial information and attribute information of all identified rural inefficient industrial land into a “one Figure 1 A rural inefficient industrial land identification and distribution map is further generated on the basis of the “Table” to guide the redevelopment of inefficient industrial land.

[0147] In specific applications, the above five-level classification of rural industrial land comprehensive performance is used as the standard basis for identifying rural inefficient industrial land. In ArcGIS software, 1,535 rural industrial land plots with performance evaluation scores less than 30 points are identified, and the joint intersection function of the geoprocessing tool is used to integrate the spatial information and attribute information of all rural inefficient industrial land to generate a rural inefficient industrial land identification distribution map, as shown below: Figure 5 shown.

[0148] The following is an embodiment of the device of the present invention. For details not disclosed, please refer to the above method embodiment.

[0149] See also Figure 6 , which is a schematic diagram of the structure of a device for evaluating the performance of rural industrial land provided in an embodiment of the present invention, wherein the device includes: an integration compilation module 101, an information acquisition module 102, a system construction module 103, a weight determination module 104, a performance evaluation module 105 and an identification generation module 106.

[0150] Integration and compilation module 101 is used to integrate the basic attribute information of the third national land survey data and compile a base map for rural industrial land survey;

[0151] The information acquisition module 102 is used to obtain information on rural industrial enterprises by conducting a rural industrial land survey and to establish a rural industrial land base information database;

[0152] System construction module 103, used to construct a multi-dimensional rural industrial land performance evaluation index system;

[0153] The weight determination module 104 is used to quantify the performance evaluation index of rural industrial land and determine the weight of the evaluation index by using the AHP hierarchical analysis method and the entropy value method;

[0154] Performance evaluation module 105, used to perform weighted summation of each quantitative evaluation index and weight, and to carry out sub-dimension and comprehensive evaluation and classification based on multi-factor superposition analysis of performance;

[0155] The identification generation module 106 is used to further identify the rural inefficient industrial land and extract it into the inefficient industrial land database to generate the rural inefficient industrial land identification distribution map.

[0156] In practical applications, when the device for evaluating the performance of rural industrial land provided in the above embodiment performs the method for evaluating the performance of rural industrial land, a person skilled in the art can distribute the above functions to different modules as needed to complete all or part of the process in the method described in the above embodiment. The role of each functional module and the technical effect achieved are detailed in the method embodiment. In addition, each functional module can be embedded in or independent of the processor of the computer device in the form of hardware, or stored in the memory of the computer device in the form of software, so that the processor can execute the corresponding operations of each module.

[0157] The present invention also provides a computer device. Figure 7 , is a schematic diagram of the physical structure of a computer device provided in an embodiment of the present invention, wherein the computer device 1000 includes a processor 1002, a user interface 1003, a network interface 1004 and a memory 1005 connected via a communication bus 1001. Among them:

[0158] The processor 1002 is used to provide computing and control capabilities and call the logic instructions in the memory 1005. Optionally, the processor 1002 may adopt a central processing unit (CPU), a digital signal processing (DSP), etc. The user interface 1003 is used to provide an input interface for the user and obtain its input data; the network interface 1004 is used to connect the computer device to an external terminal through a network. The memory 1005 of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a user interface module, a network interface module, and computer application instructions; the internal memory provides an operating environment for the operating system and computer applications in the non-volatile storage medium. When the computer application instructions are executed by the processor, the steps of the above-mentioned method for evaluating the performance of rural industrial land are implemented.

[0159] An embodiment of the present invention also provides a computer-readable storage medium, which stores computer application instructions that can be executed on a processor. When the computer application instructions are executed by the processor, the device where the computer-readable storage medium is located controls the method for evaluating the performance of rural industrial land described in the above embodiment.

[0160] It should be noted that in Figure 7 In the computer device 1000 shown, a person of ordinary skill in the art can use the processor 1002 to call a number of computer application instructions for a method for evaluating the performance of rural industrial land stored in the memory 1005 to implement all or part of the steps of the method described in the present invention, and the aforementioned readable storage medium includes ROM / RAM, U disk, mobile hard disk, etc.

[0161] In summary, the present invention uses the precise quantitative rural industrial land survey data and relies on the visual geographic information platform to propose a "plot" micro-scale rural industrial land performance evaluation method, which comprehensively considers the interaction of the four performance dimensions of "economy-society-ecology-land structure", and can accurately quantify and evaluate the development quality and performance level of rural industrial land, and realize the dynamic monitoring and management of rural industrial land performance, which can provide a basis for regulatory authorities to formulate reasonable rural industrial land transformation policies and promote rural industrial transformation and upgrading. At the same time, the present invention realizes the rapid identification of rural inefficient industrial land with high accuracy at the "micro" scale of the plot, thereby forming an identification technology system based on multi-scenario simulation, solving the problems of wide and scattered distribution of rural inefficient industrial land, difficult identification, and complex evaluation, and making up for the limitations of rural inefficient industrial land identification methods. In addition, the present invention is also applicable to the performance evaluation of existing commercial and residential land and the identification of inefficiently used space.

[0162] The technical solution provided by the present invention is described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principle of the present invention, the present invention can also be improved and modified in a number of ways, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

Claims

1. A method for evaluating the performance of rural industrial land, characterized in that: The steps include: S1. Prepare a base map of rural industrial land survey based on the basic attribute information of land survey data; S2. Obtain information on rural industrial enterprises and establish a rural industrial land base information database; S3. Construct a multi-dimensional rural industrial land performance evaluation index system; S4. Quantify the performance evaluation indicators of rural industrial land and determine the weights of the evaluation indicators using the AHP and entropy methods; S5. Perform weighted summation of each quantitative evaluation index and weight, conduct dimensional and comprehensive evaluation and grading based on multi-factor superposition analysis of performance; S6. Identify inefficient rural industrial land and extract it into the inefficient industrial land database to generate a rural inefficient industrial land identification distribution map.

2. The method for evaluating the performance of rural industrial land according to claim 1, characterized in that: The preparation of the rural industrial land survey base map in step S1 includes the following steps: S11. Using the data of the third national land survey as the basic element base, the plots with DLTB of "GYYD" in the survey data were extracted through the ArcGIS platform, and the plots located in the central urban area, the development boundaries of each street / town and the development zone were eliminated as the basic plots for the survey; S12. By comparing with the high-resolution images of 2020 and performing manual interpretation, the plots recorded as industrial land in the survey data but actually non-industrial land are eliminated; the plots recorded as non-industrial land in the survey data but actually industrial land are supplemented, and further verification is carried out based on field surveys later; S13. Superimpose the 2020 administrative boundary data, automatically encode the rural industrial land in the form of "street / town code + serial number", determine the unique plot code BSM for each plot of rural industrial land, and draw a rural industrial land survey base map.

3. The method for evaluating the performance of rural industrial land according to claim 1, characterized in that: The step S2 of establishing a rural industrial land base information database includes the following steps: S21. Use rural industrial land survey methods to conduct data surveys and obtain information on seven categories of rural industrial enterprises, including basic information, business data, ownership information, employment population, contract status, pollution and energy consumption, and construction information; S22. Perform topological inspection, verification, cleaning and correction on the collected rural industrial land survey data based on the current situation survey results, and retain necessary fields and attribute table information; S23. Connect the attribute table information to the rural industrial land, establish a rural industrial land base information database, and provide current status photos, satellite images, and topographic maps.

4. The method for evaluating the performance of rural industrial land according to claim 1, characterized in that: The step S3 of constructing a multi-dimensional rural industrial land performance evaluation index system includes the following steps: Based on the rural industrial land survey base map and the rural industrial land base information database, a multi-dimensional rural industrial land performance evaluation index system with 4 performance dimensions and 17 indicators was constructed; Among them, the four performance dimensions are economic performance, social performance, ecological performance and land use structure performance; The 17 indicators are annual total output value, annual total profit and tax, average industrial output value per unit area, average industrial profit and tax per unit area, average number of employees per unit area, transportation accessibility, location suitability for development, average nearest distance, pollutant emissions per unit of industrial output value, gas consumption per unit of industrial output value, electricity consumption per unit of industrial output value, ecological space control, floor area ratio, building density, land use scale, property rights nature, and construction year.

5. The method for evaluating the performance of rural industrial land according to claim 4, characterized in that: In step S4, the rural industrial land performance evaluation index is quantified, and the weight of the evaluation index is determined by using the AHP analytic hierarchy process and the entropy method, which includes the following steps: S41. Select the z-score standardization method to standardize the original indicator data of the four dimensions of economic performance, social performance, ecological performance and land use structure performance; S42. The AHP hierarchical analysis method is combined with the entropy method to calculate the weight value W of the rural industrial land performance evaluation index.

6. The method for evaluating the performance of rural industrial land according to claim 5, characterized in that: In step S5, weighted summation of each quantitative evaluation index and weight is performed, and subdivision and comprehensive evaluation and grading are carried out based on multi-factor superposition analysis of performance, which includes the following steps: S51, calculating the score of a single evaluation indicator according to the indicator quantization value and weight value obtained in step S4, and after weighted summing up each indicator, calculating the sub-dimensional performance and comprehensive performance evaluation score of rural industrial land; S52. Based on the multi-factor superposition analysis of the four-dimensional indicator layers of economic performance, social performance, ecological performance and land use structure performance, the rural industrial land sub-dimension and comprehensive performance evaluation are carried out; S53. Based on the comprehensive performance evaluation scores of rural industrial land, the natural breakpoint method is used to divide them into five performance levels from low to high, namely low, lower, general, higher and high, and differentiated reduction and renewal strategies are formulated.

7. The method for evaluating the performance of rural industrial land according to claim 1, characterized in that: Generating a rural inefficient industrial land identification distribution map in step S6 includes the following steps: S61. Based on the results of the comprehensive performance evaluation score interval division and the implementation strength of the redevelopment of inefficient land in the target area, select appropriate intervals as evaluation criteria to determine the rural inefficient industrial land and extract them into the inefficient industrial land database; S62. Integrate the spatial information and attribute information of all identified rural inefficient industrial land into "one map and one table" to generate a rural inefficient industrial land identification distribution map.

8. A device for evaluating the performance of rural industrial land, characterized in that: The device comprises: Integrated compilation module for compiling rural industrial land survey base maps; Information acquisition module, used to establish a rural industrial land base information database; System construction module, used to construct a multi-dimensional rural industrial land performance evaluation indicator system; The weight determination module is used to quantify the performance evaluation indicators of rural industrial land and use the AHP hierarchical analysis method and entropy method to determine the weights of the evaluation indicators; Performance evaluation module, which is used to perform weighted summation of each quantitative evaluation index and weight, and to carry out sub-dimension and comprehensive evaluation and classification based on multi-factor superposition analysis of performance; The identification and generation module is used to identify inefficient industrial land in rural areas and extract it into the inefficient industrial land database to generate an identification distribution map of inefficient industrial land in rural areas.

9. A computer device, characterized in that: The computer device includes a processor, a user interface, a network interface and a memory connected via a communication bus; the memory stores computer application instructions that can be executed on the processor, and the processor implements the method described in any one of claims 1 to 7 when loading and executing the computer application instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer application instructions, which, when loaded and executed by a processor, implement any one of claims 1-7.

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