Novel urban and rural high-quality fusion development level measurement system and evaluation method

Abstract

The invention relates to the technical field of urban and rural planning and regional economic development evaluation, in particular to a novel urban and rural high-quality fusion development level measurement system and evaluation method. According to the method, an eight-dimensional evaluation system covering population, economy, life, production, land, technology, data and infrastructure services is constructed; the eight-dimensional evaluation system comprises a plurality of evaluation indexes; establishing a maximum entropy-minimum residual error evaluation index model, and carrying out weight distribution on each evaluation index in the eight-dimensional evaluation system; calculating a comprehensive evaluation index according to each evaluation index after weight distribution; and evaluating the urban and rural fusion development level through the comprehensive evaluation index. According to the method, a more comprehensive eight-dimensional evaluation system is constructed, and dynamic weight assignment is performed in combination with the maximum entropy-minimum residual evaluation index model, so that the fitting residual can be effectively reduced, and the evaluation precision is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of urban and rural planning and regional economic development evaluation, and specifically relates to a new urban and rural high-quality integration development level measurement system and evaluation method. BACKGROUND

[0002] As the core path to break the urban-rural dual structure and promote regional coordinated development, the scientificity of the evaluation system of urban-rural integration development directly affects the accuracy of policy making and the effectiveness of resource allocation. County, as the basic unit connecting city and countryside, is the key carrier of population flow, industrial linkage and public service radiation. The level of urban-rural integration development is the core basis for measuring the quality of new urbanization and the implementation effect of rural revitalization strategy.

[0003] At present, the evaluation technology for county urban-rural integration development mainly focuses on the "population-economy-society-space-ecology" five-dimensional framework system. However, the existing system lacks systematic consideration of emerging fields such as "life integration", "production integration", "technology integration" and "data integration". With the advancement of digital rural construction, data elements such as rural e-commerce transaction volume, smart agriculture equipment penetration rate and urban-rural data sharing platform coverage rate have become key indicators of urban-rural integration. However, the existing evaluation system does not include these indicators in the core indicator layer. Traditional weighting methods mainly use entropy method and principal component analysis, which only rely on the dispersion degree or linear correlation of the indicators themselves to determine the weight, without considering the non-linear correlation between the indicators and the comprehensive evaluation results.

[0004] The above defects lead to two limitations of the existing evaluation technology: on the one hand, the evaluation results cannot fully reflect the emerging characteristics of urban-rural integration, and policy makers cannot accurately identify new development shortcomings such as "data gap" and "intelligent service gap"; on the other hand, the scientificity of weight assignment reduces the comparability of evaluation results between different counties, which restricts the overall planning and optimal allocation of resources across regions. Therefore, it is urgent to build a comprehensive evaluation system and method for county urban-rural integration that covers emerging integration fields and considers the non-linear correlation of indicators, in order to improve the accuracy of evaluation results and guidance value. SUMMARY

[0005] In order to solve the problems in the prior art, the application provides a novel urban-rural high-quality integration development level measurement system and evaluation method. The method comprises the following steps: constructing an eight-dimensional evaluation system covering population, economy, life, production, land, technology, data and infrastructure services; the eight-dimensional evaluation system comprises a plurality of evaluation indexes; establishing a maximum entropy-minimum residual evaluation index model to distribute weights of the evaluation indexes in the eight-dimensional evaluation system; calculating a comprehensive evaluation index according to the evaluation indexes after weight distribution; and evaluating the urban-rural integration development level through the comprehensive evaluation index. The eight-dimensional evaluation system is more comprehensive, and the maximum entropy-minimum residual evaluation index model is used to dynamically assign weights, so that the fitting residual can be effectively reduced, and the evaluation precision is improved.

[0006] The application adopts the following technical scheme, a novel urban-rural high-quality integration development level measurement system and evaluation method, comprising: constructing an eight-dimensional evaluation system covering population, economy, life, production, land, technology, data and infrastructure services; the eight-dimensional evaluation system comprises a plurality of evaluation indexes; establishing a maximum entropy-minimum residual evaluation index model to distribute weights of the evaluation indexes in the eight-dimensional evaluation system; calculating a comprehensive evaluation index according to the evaluation indexes after weight distribution; and evaluating the urban-rural integration development level through the comprehensive evaluation index.

[0007] Further, the eight-dimensional evaluation system covering population, economy, life, production, land, technology, data and infrastructure services is constructed, and specifically comprises: the evaluation indexes in the population integration dimension comprise a population urbanization rate, a proportion of non-agricultural employees, a proportion of urban-rural population inflow rate and a proportion of urban-rural per capita education years; the evaluation indexes in the economic integration dimension comprise a per capita disposable income ratio of urban and rural residents, a comparative labor productivity of urban and rural areas and a digital inclusive finance index; the evaluation indexes in the life integration dimension comprise a gas and electric fuel ratio of urban and rural residents, a bathing facility ratio of urban and rural residents, a tap water ratio of urban and rural residents, a per capita housing area ratio of urban and rural residents and a per household automobile ownership ratio of urban and rural residents; the evaluation indexes in the production integration dimension comprise a proportion of paddy fields and water-irrigated fields, a proportion of water-saving irrigation cultivated land, a facility agricultural production building area, a proportion of main crop machine plowing area and a proportion of main crop machine harvesting area; the evaluation indexes in the land integration dimension comprise a production and living space ratio in urban and rural areas and a land transaction volume; the evaluation indexes in the technology integration dimension comprise a domestic invention patent application acceptance volume and a number of existing business registration enterprises; The evaluation indexes contained in the data fusion dimension include: digital infrastructure index, rural economic digitalization index, rural governance digitalization index, and rural life digitalization index. The evaluation indexes contained in the infrastructure service fusion dimension include: proportion of villages with irrigation water sources, proportion of villages with broadband Internet access, proportion of villages with e-commerce distribution sites, proportion of villages with centralized household waste treatment, proportion of villages with centralized sewage treatment, proportion of villages with completed toilet renovation, proportion of villages with peasant business and cultural organizations, proportion of villages with licensed (assistant) doctors, and proportion of villages with licensed restaurants.

[0008] Further, a maximum entropy-minimum residual evaluation index model is established to assign weights to each evaluation index in the eight-dimensional evaluation system, including: The weights of each evaluation index in the eight-dimensional evaluation system are set to construct a comprehensive evaluation index statistical model; An initial comprehensive evaluation index is calculated according to the comprehensive evaluation index statistical model; The theoretical component value of each evaluation index is calculated according to the initial comprehensive evaluation index and the set weight of each evaluation index; The component residual of each evaluation index is calculated according to the observed component value and the theoretical component value of each evaluation index; A maximum entropy-minimum residual evaluation index model is constructed based on the set weight and the component residual of each evaluation index; The set weight of each evaluation index in the eight-dimensional evaluation system is updated through iterative solution of the maximum entropy-minimum residual evaluation index model until the maximum entropy-minimum residual evaluation index model converges; The set weight of each evaluation index in the eight-dimensional evaluation system is output after the update is completed.

[0009] Further, the comprehensive evaluation index statistical model is represented as: wherein, Xi represents the comprehensive evaluation index corresponding to the ith sample, Wj represents the weight of the jth evaluation index, Xij represents the jth evaluation index of the ith sample, N represents the total number of samples, and 34 represents the number of evaluation indexes in the eight-dimensional evaluation system.

[0010] Further, the method for calculating the theoretical component value of each evaluation index according to the initial comprehensive evaluation index and the set weight of each evaluation index is: obtaining the theoretical component value of each evaluation index according to the product of the weight of each evaluation index and the initial comprehensive evaluation index.

[0011] Further, the method for calculating the comprehensive evaluation index according to the assigned weights of each evaluation index is: obtaining the set weights of each evaluation index in the eight-dimension evaluation system at the time of updating completion; substituting the set weights of each evaluation index in the eight-dimension evaluation system at the time of updating completion into the comprehensive evaluation index statistical model to obtain the comprehensive evaluation index.

[0012] Further, the level of urban-rural integration development is evaluated by the comprehensive evaluation index, specifically: dividing the comprehensive evaluation index into four levels; when the value of the comprehensive evaluation index is located in the first interval corresponding to the first level, the current level of urban-rural integration development is a high-quality integration level; when the value of the comprehensive evaluation index is located in the second interval corresponding to the second level, the current level of urban-rural integration development is a good integration level; when the value of the comprehensive evaluation index is located in the third interval corresponding to the third level, the current level of urban-rural integration development is an initial integration level; when the value of the comprehensive evaluation index is located in the fourth interval corresponding to the fourth level, the current level of urban-rural integration development is a low integration level.

[0013] The beneficial effects of the present application are: the present application constructs an eight-dimension evaluation system and a maximum entropy-minimum residual dynamic weight model, adds dimensions such as "data fusion" and "technology fusion", solves the problem of insufficient capture of characteristics of the digital era by the traditional "population-economy-society-space-ecology" five-dimension framework, iteratively updates the weights by the maximum entropy-minimum residual model, thereby minimizing the component residual and maximizing the information entropy, so that the weight distribution satisfies the minimization of index representativeness and system uncertainty, significantly improves the representativeness of the comprehensive index to the core index, improves the fitting accuracy, realizes the "new field coverage + dynamic weight optimization + spatial visualization diagnosis" trinity of urban-rural integration evaluation, and provides a quantifiable, decision-making and generalizable technical tool for breaking the urban-rural dual structure and promoting high-quality development of counties. BRIEF DESCRIPTION OF DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0015] Figure 1 A flowchart of a new urban-rural high-quality integration development level measurement system and evaluation method according to an embodiment of the present application; Figure 2A maximum entropy-minimum residual evaluation index model and a comprehensive index and various evaluation index results obtained by an entropy weight method are shown in the figure (a) of the embodiment of the present application. Figure 2 (a) is a comprehensive index and various evaluation index results obtained by the maximum entropy-minimum residual evaluation index model proposed in the present application, Figure 2 (b) is a comprehensive index and various evaluation index results obtained by the entropy weight method. Figure 3 A comprehensive index and various evaluation index results obtained by a variation coefficient method and a standard deviation method are shown in the figure (c) and (d) of the embodiment of the present application. Figure 3 (c) is a comprehensive index and various evaluation index results obtained by the variation coefficient method, Figure 3 (d) is a comprehensive index and various evaluation index results obtained by the standard deviation method. Figure 4 An evaluation result figure corresponding to an urban-rural integration development index and an equilibrium index is shown in the figure (a) and (b) of the embodiment of the present application. Figure 4 (a) is an evaluation result figure corresponding to the urban-rural integration development index, Figure 4 (b) is an evaluation result figure corresponding to the equilibrium index. Figure 5 An evaluation result figure corresponding to a population integration index and an economic integration index is shown in the figure (a) and (b) of the embodiment of the present application. Figure 5 (a) is an evaluation result figure corresponding to the population integration index, Figure 5 (b) is an evaluation result figure corresponding to the economic integration index. Figure 6 An evaluation result figure corresponding to a life integration index and a production integration index is shown in the figure (a) and (b) of the embodiment of the present application. Figure 6 (a) is an evaluation result figure corresponding to the life integration index, Figure 6 (b) is an evaluation result figure corresponding to the production integration index. Figure 7 An evaluation result figure corresponding to a data integration index and an infrastructure service integration index is shown in the figure (a) and (b) of the embodiment of the present application. Figure 7 (a) is an evaluation result figure corresponding to the data integration index, Figure 7 (b) is an evaluation result figure corresponding to the infrastructure service integration index. Figure 8 An evaluation result figure corresponding to a land integration index and a technology integration index is shown in the figure (a) and (b) of the embodiment of the present application. Figure 8 (a) is an evaluation result figure corresponding to the land integration index, Figure 8 (b) is an evaluation result figure corresponding to the technology integration index. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0017] A novel urban-rural high-quality integration development level measurement system and evaluation method process schematic diagram of the embodiments of the present application is shown as Figure 1 , which comprises: An eight-dimension evaluation system covering population, economy, life, production, land, technology, data and infrastructure service is constructed; the eight-dimension evaluation system comprises a plurality of evaluation indexes; In the embodiments of the present application, the constructed eight-dimension evaluation system is as follows: The evaluation indexes contained in the population integration dimension include: population urbanization rate, non-agricultural employee proportion, urban-rural population inflow rate proportion, urban-rural per capita education years proportion; The evaluation indexes contained in the economic integration dimension include: urban-rural per capita disposable income ratio, urban-rural comparative labor productivity, digital inclusive finance index; The evaluation indexes contained in the life integration dimension include: urban-rural resident gas and electric fuel ratio, urban-rural resident bathing facility ratio, urban-rural resident tap water ratio, urban-rural per capita housing area ratio, urban-rural per household car ownership ratio; The evaluation indexes contained in the production integration dimension include: water field and water irrigated land proportion, water-saving irrigation cultivated land proportion, facility agricultural production building area, main crop machine plowing area proportion, main crop machine harvesting area proportion; The evaluation indexes contained in the land integration dimension include: urban-rural internal production and living space ratio, land transaction volume; The evaluation indexes contained in the technology integration dimension include: domestic invention patent application acceptance amount, existing business registration enterprise; The evaluation indexes contained in the data integration dimension include: digital infrastructure index, rural economy digitalization index, rural governance digitalization index, rural life digitalization index; The evaluation indexes contained in the infrastructure service integration dimension include: proportion of villages with irrigation water source, proportion of villages with broadband Internet, proportion of villages with e-commerce distribution site, proportion of villages with centralized household garbage treatment, proportion of villages with centralized sewage treatment, proportion of villages with completed toilet, proportion of villages with peasant business and cultural organizations, proportion of villages with practicing (assistant) doctors, proportion of villages with restaurants with business license.

[0018] Specifically, as shown in Table 1, the embodiment of the present application gives an observation component value of each dimension and the weight of each index corresponding to each dimension on the basis of constructing an eight-dimensional evaluation system: Table 1: Eight-dimensional evaluation system schematic table In Table 1, the target layer indicates that the target of the established eight-dimensional evaluation system is to evaluate urban-rural integration, the criterion layer represents eight dimensions, i.e., from population integration, economic integration, life integration, production integration, land integration, technology integration, data integration, and infrastructure service integration, eight dimensions are obtained corresponding evaluation indexes, wherein the population integration dimension can be obtained by the population sampling data of the statistical bureau, which reflects the activity of the two-way flow of urban and rural population; the economic integration dimension can be obtained by the existing digital inclusive finance index, which reflects the coverage rate of county digital financial services; the life integration dimension can be obtained by the energy bureau, satellite remote sensing inversion data and other ways to obtain the corresponding evaluation indexes, so as to quantify the life gap of urban and rural residents; the production integration dimension can be obtained by the agricultural machinery dispatching platform and other ways to reflect the degree of urban and rural agricultural modernization; the land integration dimension can be obtained by the third national land survey data combined with remote sensing image inversion, which reflects the coordination of urban and rural space; the technology integration dimension can be directly obtained by statistics, which only contains two evaluation indexes in this dimension, reflecting the degree of urban and rural technological innovation; the infrastructure service integration dimension can be obtained by the statistical data of the industrial and information technology department or the environmental protection department, which reflects the degree of urban and rural infrastructure construction.

[0019] An entropy-maximum and residual-minimum evaluation index model is established to distribute the weights of each evaluation index in the eight-dimensional evaluation system; In the embodiment of the present application, first, the weights of each evaluation index in the eight-dimensional evaluation system are set to construct a comprehensive evaluation index statistical model; the initial comprehensive evaluation index is calculated according to the constructed comprehensive evaluation index statistical model; the theoretical component value of each evaluation index is calculated according to the initial comprehensive evaluation index and the set weight of each evaluation index; the component residual of each evaluation index is calculated according to the observation component value and the theoretical component value of each evaluation index; the entropy-maximum and residual-minimum evaluation index model is constructed based on the set weight and the component residual of each evaluation index; the set weight of each evaluation index in the eight-dimensional evaluation system is updated after each iteration by iteratively solving the entropy-maximum and residual-minimum evaluation index model, until the entropy-maximum and residual-minimum evaluation index model converges; Specifically, for a sample to be evaluated, the obtained evaluation indicators are first normalized using the range method to eliminate the dimensional influence of the data corresponding to different evaluation indicators. At the same time, the setting weight of each evaluation indicator is preliminarily set. Then, based on the normalized evaluation indicators and their set weights, a comprehensive evaluation index statistical model is constructed, which is expressed as: in, represents the comprehensive evaluation index corresponding to the i-th sample, represents the weight of the jth evaluation index, represents the jth evaluation index of the i-th sample, , indicating a total samples, and 34 represents the number of evaluation indicators in the eight-dimensional evaluation system.

[0020] The constructed comprehensive evaluation index can be used to calculate the initial comprehensive evaluation index of the sample. According to the set weight of each evaluation indicator, the calculated initial comprehensive evaluation index theoretical value can be decomposed into components corresponding to the theoretical value of the comprehensive evaluation index of each evaluation indicator, that is, the contribution of each evaluation indicator in the initial comprehensive evaluation index. Therefore, the embodiment of the present invention obtains the theoretical component value of each evaluation indicator by multiplying the weight of each evaluation indicator by the initial comprehensive evaluation index.

[0021] The component residual of each evaluation indicator is calculated based on the observed component value and the theoretical component value of each evaluation indicator. In the embodiment of the present invention, the component residual of each evaluation indicator is obtained by the difference between the theoretical component value and the observed component value of each evaluation indicator, and its expression is: ,in, represents the component residual of the jth evaluation index in the i-th sample, represents the jth evaluation index in the i-th sample, Indicates the setting weight of the jth evaluation index, through To express the theoretical component value of the jth evaluation index, Represents the observed group value of the jth evaluation indicator in the i-th sample.

[0022] Based on the set weights of each evaluation index and the component residuals, a maximum entropy-minimum residual evaluation index model is constructed. The maximum entropy-minimum residual evaluation index model in the embodiment of the present invention can be expressed as: in, It represents the component residual and information entropy function, is the information entropy of parameter estimation, is the component residual, representing the component residual error is minimized under the constraint that the information entropy is maximized, represents the set weight of the jth evaluation index, is the number of evaluation indexes.

[0023] By continuously updating the value of the set weight, the component residual error is reduced, and the information entropy is increased, and the iteration is sequentially performed until the model converges, and the set weight value at this time is output for subsequent calculation and analysis.

[0024] The set weight of each evaluation index in the eight-dimensional evaluation system at the time of updating completion is output, and the comprehensive evaluation index is calculated according to each evaluation index after the weight distribution; the urban-rural integration development level is evaluated through the comprehensive evaluation index.

[0025] In the embodiment of the application, the set weight of each evaluation index in the eight-dimensional evaluation system at the time of updating completion is obtained; the set weight of each evaluation index in the eight-dimensional evaluation system at the time of updating completion is substituted into the comprehensive evaluation index statistical model, and the comprehensive evaluation index can be calculated.

[0026] In the embodiment of the application, when the urban-rural integration development level is evaluated, the comprehensive evaluation index is divided into four levels, and the value of the comprehensive evaluation index is divided into four intervals; when the value of the comprehensive evaluation index is located in the first interval corresponding to the first level, the current urban-rural integration development level is a high-quality integration level; when the value of the comprehensive evaluation index is located in the second interval corresponding to the second level, the current urban-rural integration development level is a good integration level; when the value of the comprehensive evaluation index is located in the third interval corresponding to the third level, the current urban-rural integration development level is an initial integration level; and when the value of the comprehensive evaluation index is located in the fourth interval corresponding to the fourth level, the current urban-rural integration development level is a low integration level.

[0027] Specifically, in the embodiment of the present application, the setting range of the first interval is [0.8, 1.0], when the value of the comprehensive evaluation index is located in the first interval, it can be considered that the current urban-rural integration development level is a high-quality integration level, and the elements between the urban and rural areas are in a self-flowing state; the setting range of the second interval is [0.6, 0.8), when the value of the comprehensive evaluation index is located in the second interval, it can be considered that the current urban-rural integration development level is a good integration level, and the local field between the urban and rural areas needs to be further optimized, and the specific adaptive change can be made by referring to the corresponding dimension of an evaluation index; the setting range of the third interval is [0.4, 0.6), when the value of the comprehensive evaluation index is located in the third interval, it can be considered that the current urban-rural integration development level is an initial integration level, indicating that there is a structural obstacle in the integration development level between the urban and rural areas; the setting range of the fourth interval is [0, 0.4), when the value of the comprehensive evaluation index is located in the fourth interval, it can be considered that the current urban-rural integration development level is a low integration level, and systematic intervention measures need to be taken to help the integration development between the urban and rural areas.

[0028] In another specific embodiment of the present application, the maximum entropy-minimum residual evaluation index model proposed in the present application is analyzed with the comprehensive index and the weight and normalized value of each evaluation index obtained by the entropy weight method, the coefficient of variation method and the standard deviation method, to obtain the corresponding straight line-bubble combination diagram, as shown in Figure 2 and Figure 3 , Figure 2 (a) is the comprehensive index and each evaluation index result graph obtained by the maximum entropy-minimum residual evaluation index model proposed in the present application, Figure 2 (b) is the comprehensive index and each evaluation index result graph obtained by the entropy weight method, Figure 3 (c) is the comprehensive index and each evaluation index result graph obtained by the coefficient of variation method, Figure 3 (d) is the comprehensive index and each evaluation index result graph obtained by the standard deviation method, it can be seen that, by applying the model proposed in the present application, the evaluation index with larger weight is distributed near the two sides of the comprehensive index straight line, and the evaluation index with smaller weight is distributed in the area far from the comprehensive index straight line, the distribution of the weight of the evaluation index is consistent with the trend of the size of the comprehensive index, which fully reflects the representativeness of the comprehensive index to the main evaluation index with larger weight, but the entropy weight method, the coefficient of variation method and the standard deviation method do not have similar trends, which shows that the method of estimating factor weight for comprehensive evaluation by the entropy weight method, the coefficient of variation method and the standard deviation method is questionable.

[0029] The embodiment of the present application further gives the evaluation result graph of the urban-rural integration development level evaluation of Shaanxi region by each evaluation index, respectively as Figure 4 , Figure 5 , Figure 6 , Figure 7 and Figure 8Figure 1 shows the evaluation results of the urban-rural high-quality integration development index, Figure 4 Figure 1(a) is the evaluation results of the urban-rural high-quality integration development index, Figure 4 Figure 1(b) is the evaluation results of the balance index, which is consistent with the urban-rural high-quality integration development level as a whole, but the range of the high-value area has expanded. Figure 4 As can be seen in Figure 1(a), the urban-rural high-quality integration development level presents a "high in the middle and low on both sides" trend, specifically, the high-value area (0.520-0.677) is mainly distributed in the six city districts of Xi'an, Xianyang, and Weinan in the central region of Shaanxi, showing a "core-periphery" spatial structure, while there is one in the northern and southern regions of Shaanxi, respectively, namely Yuyang District and Hantai District; the low-value area (0.160-0.306) is mainly distributed in the northern region of Shaanxi (71%), totaling 15, with 2 in the central region and 4 in the southern region. Figure 4 As can be seen in Figure 1(b), the balance index is consistent with the urban-rural high-quality integration development level as a whole, but the range of the high-value area has expanded. Figure 5 Figure 1(a) is the evaluation results of the population integration index, Figure 5 Figure 1(b) is the evaluation results of the economic integration index, Figure 5 As can be seen in Figure 1(a), the high-value area of population integration (0.638-0.884) is mainly distributed in the six resource-based cities in the northern region of Shaanxi and the city districts and county-level cities in the central region of Shaanxi, where the urbanization rate is high and the industrialization has strong attraction to population; the low-value area (0.222-0.337) is mainly distributed in the periphery of the central region and the southwest of the northern region, constrained by the outflow of rural population and the single employment structure. Figure 5 As can be seen in Figure 1(b), the high-value area of economic integration (0.388-0.644) is mainly distributed in the core area of the central region, the northern part of the northern region, and the southwestern part of the southern region; the low-value area (0.062-0.182) is mainly distributed in the central part of the northern region, the northwest of the central region, and the southwest of the southern region. Figure 6 Figure 1(a) is the evaluation results of the population integration index, Figure 6 Figure 1(b) is the evaluation results of the production integration index, Figure 6 As can be seen in Figure 1(a), the high-value area of population integration is mainly distributed in the central region, and the low-value area is mainly distributed in the northern region; the high-value area of production integration is mainly concentrated in the central region, and the low-value area is mainly distributed in the northern and southern regions. Figure 7 Figure 1(a) is the evaluation results of the population integration index, Figure 7 Figure 1(b) is the evaluation results of the infrastructure service integration index, Figure 7It can be seen that the high-value area of data fusion is scattered in the districts of the three regions and the economically strong counties; the low-value area is mainly distributed in the six counties in the middle of northern Shaanxi and the four counties in the west of central Shaanxi; the high-value area of infrastructure service fusion is mainly distributed in the three districts and counties of central Shaanxi and southern Shaanxi, among which the central Shaanxi is mainly the Weihe Plain with developed transportation network and relatively complete infrastructure; the Hantai District and the Chenggu County in southern Shaanxi belong to the Hanzhong Basin, and the Zhenping County is a small county with a total population of only 47,000, which is a national health county and an e-commerce into rural comprehensive demonstration county; the low-value area is mainly distributed in northern Shaanxi, which is located in the Loess Plateau and belongs to the semi-arid climate zone. Due to the limitation of natural conditions, the water resources are scarce, the vegetation coverage is low, the ecological environment is relatively fragile, and the population is sparse, resulting in that the proportion of villages completing toilet reconstruction, the proportion of villages with irrigation water sources, and the proportion of villages with e-commerce distribution sites in the infrastructure service fusion elements are all lagging behind the central Shaanxi and southern Shaanxi. Figure 8 (a) is an evaluation result map corresponding to the land fusion index, Figure 8 (b) is an evaluation result map corresponding to the technology fusion, Figure 8 It can be seen that the high-value area of land fusion is scattered in the districts of the three regions and the individual resource-based cities; the low-value area is mainly distributed in the east of northern Shaanxi; the level of technology fusion is generally low, and the high-value area is only the Chang'an District of the provincial capital city Xi'an, and the rest of the areas are low-value areas.

[0030] The above only describes the preferred embodiments of the present application and is not used to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A new type of urban-rural high-quality integrated development level measurement system and evaluation method, characterized by: include: Construct an eight-dimensional evaluation system covering population, economy, life, production, land, technology, data, and infrastructure services; the eight-dimensional evaluation system includes multiple evaluation indicators; Establish a maximum entropy-minimum residual evaluation index model to assign weights to each evaluation indicator in the eight-dimensional evaluation system; The comprehensive evaluation index is calculated based on the evaluation indicators after assigning weights; the level of urban-rural integration development is evaluated through the comprehensive evaluation index.

2. A new type of urban-rural high-quality integrated development level measurement system and evaluation method according to claim 1, characterized by: Construct an eight-dimensional evaluation system covering population, economy, life, production, land, technology, data, and infrastructure services, specifically: The evaluation indicators of population integration dimension include: urbanization rate, proportion of non-agricultural employees, ratio of urban and rural population inflow rate, and ratio of urban and rural average years of education; The evaluation indicators included in the economic integration dimension include: the ratio of per capita disposable income of urban and rural residents, comparative labor productivity between urban and rural areas, and the digital inclusive finance index; The evaluation indicators of the life integration dimension include: the ratio of gas and electricity fuel for urban and rural residents, the ratio of bathing facilities for urban and rural residents, the ratio of tap water for urban and rural residents, the ratio of per capita housing area for urban and rural residents, and the ratio of per capita car ownership for urban and rural households; The evaluation indicators of the production integration dimension include: the proportion of paddy fields and irrigated land, the proportion of water-saving irrigation cultivated land, the area of ​​facility agriculture production buildings, the proportion of mechanized farming area of ​​major crops, and the proportion of mechanized harvesting area of ​​major crops; The evaluation indicators included in the land integration dimension include: the ratio of production and living space within urban and rural areas, and the land transaction volume; The evaluation indicators of the technology integration dimension include: the number of domestic invention patent applications accepted and the number of existing industrial and commercial registered enterprises; The evaluation indicators included in the data fusion dimension include: digital infrastructure index, rural economic digitalization index, rural governance digitalization index, and rural life digitalization index; The evaluation indicators included in the infrastructure service integration dimension include: the proportion of villages with irrigation water sources, the proportion of villages with broadband Internet access, the proportion of villages with e-commerce distribution stations, the proportion of villages with centralized domestic waste treatment, the proportion of villages with centralized domestic sewage treatment, the proportion of villages with completed toilet renovations, the proportion of villages with farmers' business and cultural organizations, the proportion of villages with practicing or assistant doctors, and the proportion of villages with restaurants with business licenses.

3. A new type of urban-rural high-quality integrated development level measurement system and evaluation method according to claim 1, characterized by: A maximum entropy-minimum residual evaluation index model is established to assign weights to each evaluation indicator in the eight-dimensional evaluation system, including: Set the weights of each evaluation indicator in the eight-dimensional evaluation system and build a comprehensive evaluation index statistical model; Calculating an initial comprehensive evaluation index according to the comprehensive evaluation index statistical model; Calculate the theoretical component value of each evaluation indicator based on the initial comprehensive evaluation index and the set weight of each evaluation indicator; Calculate the component residual of each evaluation indicator based on the observed component value and theoretical component value of each evaluation indicator; Based on the set weights and component residuals of each evaluation indicator, a maximum entropy-minimum residual evaluation index model is constructed; By iteratively solving the maximum entropy-minimum residual evaluation index model, the set weights of each evaluation indicator in the eight-dimensional evaluation system are updated after each iteration until the maximum entropy-minimum residual evaluation index model converges; Output the weights of each evaluation indicator in the eight-dimensional evaluation system when the update is completed.

4. A new type of urban-rural high-quality integrated development level measurement system and evaluation method according to claim 3, characterized by: The comprehensive evaluation index statistical model is expressed as: in, represents the comprehensive evaluation index corresponding to the i-th sample, represents the weight of the jth evaluation index, represents the jth evaluation index of the i-th sample, , indicating a total samples, and 34 represents the number of evaluation indicators in the eight-dimensional evaluation system.

5. A new type of urban-rural high-quality integrated development level measurement system and evaluation method according to claim 3, characterized by: According to the initial comprehensive evaluation index and the set weight of each evaluation indicator, the method for calculating the theoretical component value of each evaluation indicator is: according to the product of the weight of each evaluation indicator and the initial comprehensive evaluation index, the theoretical component value of each evaluation indicator is obtained.

6. A new type of urban-rural high-quality integrated development level measurement system and evaluation method according to claim 1, characterized by: The method for calculating the comprehensive evaluation index based on the weighted evaluation indicators is as follows: Get the set weights of each evaluation indicator in the eight-dimensional evaluation system when the update is completed; Substitute the set weights of each evaluation indicator in the eight-dimensional evaluation system when the update is completed into the comprehensive evaluation index statistical model to calculate the comprehensive evaluation index.

7. The new urban-rural high-quality integrated development level measurement system and evaluation method according to claim 1 is characterized by: The level of urban-rural integration development is evaluated through a comprehensive evaluation index, specifically: The comprehensive evaluation index is divided into four levels; When the value of the comprehensive evaluation index is in the first interval corresponding to the first level, the current level of urban-rural integration development is a high-quality integration level; When the value of the comprehensive evaluation index is in the second interval corresponding to the second level, the current level of urban-rural integration development is a good integration level; When the value of the comprehensive evaluation index is in the third interval corresponding to the third level, the current level of urban-rural integration development is the initial integration level; When the value of the comprehensive evaluation index is in the fourth interval corresponding to the fourth level, the current level of urban-rural integration development is a low integration level.

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