Enterprise high-quality development obstacle factor diagnosis method and system, storage medium and terminal

Abstract

The invention discloses an enterprise high-quality development obstacle factor diagnosis method and system, a storage medium and a terminal, and belongs to the field of enterprise intelligent planning, mainly through establishing an enterprise high-quality development index system, economic benefits, environmental benefits, social benefits, innovation ability, development potential and the like of enterprises are scientifically and accurately reflected in a score quantitative manner, and the enterprise high-quality development obstacle factor diagnosis method and system are established. An entropy weight method is adopted to objectively obtain weight coefficients of a first-level index and a second-level index, then an obstacle degree model is utilized to measure, calculate and analyze main obstacle factors influencing high-quality development of an enterprise, the change trend of the main obstacle factors is analyzed and discussed, and the main obstacle factors influencing the high-quality development of the enterprise in the future are found. Meanwhile, on the basis of the local Moran index of the geographic distance weight matrix, spatial aggregation or diffusion benefits of main obstacle factors and local spatial autocorrelation are measured and analyzed, accurate portraits are provided for high-quality development of enterprises, accurate implementation is driven, and scientific technical support can be provided for a local government to formulate an industrial development strategy.

Description

Technical Field

[0001] The present invention relates to the field of enterprise intelligent planning, and in particular to a method, system, storage medium and terminal for diagnosing obstacles to high-quality development of an enterprise. Background Art

[0002] Enterprises are micro-subjects of macroeconomic and social development and are the basic organizations for the development of meso-industries and industries. Therefore, high-quality development of enterprises is the foundation and focus of achieving high-quality development of the macroeconomy and meso-industries. To achieve high-quality development of enterprises, it is necessary to accurately understand the connotation, characteristics and standards of high-quality development of enterprises, and find the evolution trend and development path of achieving high-quality development. To achieve high-quality development, enterprises need to start from the process characteristics of high-quality development of enterprises. The specific characteristics are: first-class products and services, excellent comprehensive benefits, and good social reputation. The process characteristics of achieving excellent comprehensive benefits are: strong growth momentum, excellent value management, outstanding environmental benefits, and efficient management mechanisms.

[0003] To achieve high-quality development, enterprises must comprehensively consider ecological and environmental benefits and scientific research and innovation capabilities, correctly adjust and properly handle the relationship between achieving high-quality development and high-level ecological and environmental protection, incorporate ecological and environmental protection and scientific and technological innovation capabilities into the overall corporate strategy, and integrate ecological and environmental protection and scientific and technological innovation into all aspects and links of corporate production. By introducing clean production technologies, improving resource utilization efficiency, reducing emissions and energy consumption, and promoting the construction of resource-saving and environmentally friendly enterprises.

[0004] Therefore, at present, most enterprises in my country will face the dual adjustment of low development quality and efficiency and urgent energy conservation and emission reduction tasks. In the process of adjustment, it is crucial to diagnose and analyze the main obstacles that affect the high-quality development of enterprises. However, at this stage, my country's diagnostic analysis methods for the main influencing factors of enterprises to achieve high-quality development are generally qualitative analysis, lacking intuitive and effective analysis methods. There are few methods for quantitative analysis using data models, and the indicator system established in the existing data model quantitative analysis methods mainly considers economic benefits, social benefits and development potential, lacking indicators such as environmental benefits, social contribution and scientific and technological innovation capabilities, resulting in inaccurate positioning of the main influencing factors, unable to accurately analyze the changing trends and spatial evolution trends of the main obstacles, and unable to provide strong data support for subsequent development decisions. Summary of the invention

[0005] The purpose of the present invention is to overcome the technical problems existing in the prior art, and provide a method, system, storage medium and terminal for diagnosing obstacles to high-quality development of enterprises. By establishing an enterprise high-quality development indicator system, combining the entropy weight method, obstacle degree model and local Moran's index, the main obstacles affecting the high-quality development of enterprises are accurately located and their spatial evolution trends are measured and analyzed.

[0006] The objective of the present invention is achieved through the following technical solutions:

[0007] First, a method for diagnosing obstacles to high-quality development of an enterprise is provided, comprising the following steps:

[0008] S1. Select indicators that affect the high-quality development of enterprises;

[0009] S2. Calculate the weight coefficient of the indicator using the entropy weight method;

[0010] S3. Use the obstacle degree model to calculate and analyze the obstacle degree values ​​of all indicators, and select indicators with high obstacle degree values ​​as the main obstacles affecting the high-quality development of enterprises;

[0011] S4. Use the local Mora index to measure and analyze the spatial evolution trend of the main obstacle factors.

[0012] In some embodiments, the indicators selected in step S1 include multi-level indicators, and the multi-level indicators include primary indicators and secondary indicators set under the primary indicators.

[0013] Preferably, the primary indicators include economic benefits, environmental benefits, social benefits, innovation capabilities and development potential.

[0014] In some embodiments, the entropy weight method is used in step S2 to calculate the weight coefficient of the indicator, including:

[0015] Set the initial values ​​of the evaluation indicators and standardize them;

[0016] Calculate the index proportion and information entropy;

[0017] The indicator weight is calculated according to the information entropy.

[0018] In some embodiments, the obstacle value of all indicators is calculated and analyzed using the obstacle model in step S3, including:

[0019] Calculate the contribution and deviation of the indicator;

[0020] The obstacle degree of the indicator is calculated based on the contribution degree and the deviation degree.

[0021] Preferably, the contribution of the indicator is the product of the single-layer weight of the secondary indicator and the weight of the primary indicator to which it belongs.

[0022] In some embodiments, the step S4 uses the local Mora index to measure and analyze the spatial evolution trend of the main obstacle factors, including:

[0023] Analyze the trend of spatial agglomeration or diffusion benefits of major obstacle factors and local spatial autocorrelation.

[0024] Secondly, a diagnostic system for factors that hinder high-quality development of enterprises is provided, including:

[0025] Indicator selection module, used to select indicators that affect the high-quality development of enterprises;

[0026] An indicator weight calculation module, used to calculate the weight coefficient of the indicator using an entropy weight method;

[0027] The main obstacle factor selection module is used to use the obstacle degree model to measure and analyze the obstacle degree values ​​of all indicators, and select indicators with high obstacle degree values ​​as the main obstacle factors affecting the high-quality development of enterprises;

[0028] The main obstacle factor prediction module is used to measure and analyze the spatial evolution trend of the main obstacle factors using the local Mora index.

[0029] In a third aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, any one of the methods for diagnosing obstacles to high-quality development of an enterprise is implemented.

[0030] In a fourth aspect, a terminal is provided, including a memory and a processor, wherein the memory stores computer instructions that can be executed on the processor, and when the processor runs the computer instructions, any one of the methods for diagnosing obstacles to high-quality development of an enterprise is executed.

[0031] It should be further explained that the technical features corresponding to the above options can be combined or replaced with each other to form a new technical solution if there is no conflict.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] (1) The present invention establishes an enterprise high-quality development index system, uses "scores" to quantify and scientifically and accurately reflect the economic benefits, environmental benefits, social benefits, innovation capabilities and development potential of enterprises, and adopts the entropy weight method to objectively obtain the weight coefficients of the primary and secondary indicators. Then, the obstacle degree model is used to calculate and analyze the main obstacles affecting the high-quality development of enterprises, analyze and explore the changing trends of the main obstacles, and identify the main obstacles that will affect the high-quality development of enterprises in the future. At the same time, the local Moran index based on the geographic distance weight matrix calculates and analyzes the spatial agglomeration or diffusion benefits and local spatial autocorrelation of the main obstacles, giving an accurate portrait of the high-quality development of enterprises and driving precise policy implementation, which can provide scientific technical support for local governments to formulate industrial development strategies.

[0034] (2) The primary indicators of the present invention include economic benefits, environmental benefits, social benefits, innovation capabilities and development potential. Based on the indicator system established for the high-quality development of most existing enterprises, which mainly considers economic benefits, social benefits and development potential, this model adds factors such as ecological environmental benefits, social contribution, and scientific and technological innovation capabilities. Based on the use of quantitative methods, the analysis indicators are more comprehensive and the main obstacles are more accurately identified.

[0035] (3) The data selection of this method has the following three characteristics: First, it is authoritative. Different from the commercial evaluation system that mainly uses public data such as enterprise revenue scale, enterprise age, and enterprise market share, this evaluation system is not only the basic data mastered by government departments, but also covers aspects such as human resources and social security, taxation, environmental protection performance, government subsidies, and social contributions. The data source is authoritative and extensive. Second, it is innovative. Different from the traditional evaluation system that focuses on business data, this evaluation system involves dynamic and static parameters such as total labor productivity, talent qualifications, R&D investment, effective patents, salary and benefits, and industrial contribution. The evaluation dimension pays more attention to innovative attributes. Third, it is scientific. Different from the conventional evaluation system that mainly uses simple weighting, this evaluation system constructs differentiated dynamic weight ratios for enterprises at different growth stages and different industry fields. The evaluation model fits the development law and the evaluation results are more scientific.

[0036] (4) From the application perspective, different enterprises have different main influencing factors for achieving high-quality development. Enterprises need to identify and filter out unfavorable factors and find a distinctive path suitable for their own development. There are two main aspects: On the one hand, local government departments can take the initiative to discover and implement targeted policies. By understanding and mastering the main influencing factors and spatial evolution trends in the development of each enterprise, accurately monitoring and analyzing the development of enterprises, tapping the development potential of enterprises, selecting and evaluating benchmark enterprises, and urging enterprises to implement "one enterprise, one policy" precise emission reduction measures in the process of ensuring major events such as the National Games and the Universiade, it will neither affect the fundamentals of economic and social development nor bring pressure to ecological and environmental protection, and use "small incisions" to drive "big governance". On the other hand, enterprises can self-portrait and index realization. By identifying and ranking the main influencing factors in the process of achieving high-quality development, and measuring and analyzing the spatial agglomeration or diffusion benefits and local spatial autocorrelation of the main obstacle factors, enterprises can not only compare with enterprises in the same industry, stage, and region, but also have a deep understanding of their own development level and shortcomings, and improve and enhance their own operating efficiency, business model and core competitiveness in a targeted manner to achieve sustainable high-quality development of enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a flow chart of a method for diagnosing obstacles to high-quality development of an enterprise shown in an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The technical solution of the present invention is clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the accompanying drawings can be arranged and designed in various configurations. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0039] It should be noted that the defects existing in the solutions in the above-mentioned prior art are the results obtained by the inventor after practice and careful research. Therefore, the discovery process of the above-mentioned problems and the solutions proposed in the embodiments of the present application for the above-mentioned problems below should all be the contributions made by the inventor to the present application in the process of invention and creation, and should not be understood as technical contents known to technical personnel in this field.

[0040] In view of the technical problems pointed out in the background technology, the embodiments provided by the present invention are as follows:

[0041] In an exemplary embodiment, a method for diagnosing obstacles to high-quality development of an enterprise is provided, referring to Figure 1 , including the following steps:

[0042] S1. Select indicators that affect the high-quality development of enterprises;

[0043] S2. Calculate the weight coefficient of the indicator using the entropy weight method;

[0044] S3. Use the obstacle degree model to calculate and analyze the obstacle degree values ​​of all indicators, and select indicators with high obstacle degree values ​​as the main obstacles affecting the high-quality development of enterprises;

[0045] S4. Use the local Mora index to measure and analyze the spatial evolution trend of the main obstacle factors.

[0046] Specifically, this method combines the actual situation of high-quality development of enterprises, fully considers the scientificity, rationality and availability of various data, follows the representativeness of indicator selection and the correlation between systems, and selects 5 first-level indicators involving economic benefits, environmental benefits, social benefits, innovation capabilities and development potential on the basis of referring to existing research results. It also includes 25 second-level indicators such as enterprise revenue scale, enterprise heavy pollution weather performance evaluation level, government subsidies, total labor productivity, and enterprise revenue growth rate, and constructs an enterprise high-quality development indicator system. See Table 1 for details.

[0047] Table 1 Enterprise high-quality development indicator system

[0048]

[0049]

[0050] Furthermore, in step S2, the entropy weight method is used to obtain the weight coefficients of the primary index and the secondary index, which specifically include:

[0051] (1) Set the initial value of the evaluation target indicator and perform standardization: Set the initial value of the evaluation target indicator to x ij , where i = 1, 2, ..., m; j = 1, 2, ... n; m represents the number of evaluation targets; n represents the number of indicators. The initial data is standardized and the calculation formula is as follows:

[0052] Positive indicators:

[0053] Negative indicators:

[0054] (2) Calculate the proportion of the first-level indicators and the information entropy of the second-level indicators: The calculation formula for the proportion of the first-level indicators is as follows:

[0055]

[0056] The calculation formula of the information entropy of the secondary indicator is as follows:

[0057]

[0058] (3) Calculate the secondary indicator weight according to the information entropy of the secondary indicator: The calculation formula of the secondary indicator weight is as follows:

[0059]

[0060] Then, the obstacle degree model is used to calculate and analyze the main factors affecting the high-quality development of enterprises. Specifically, the obstacle degree model is used to calculate and analyze the obstacle degree values ​​of all indicators, including:

[0061] (4) Calculate the contribution and deviation of the indicator: The contribution of the indicator is calculated using the single-layer weight W of the secondary indicator. i The weight P of the first-level index to which it belongs ij The product of is the comprehensive weight of the secondary indicators, that is:

[0062] K ij =W i ×P ij .

[0063] (5) Calculate the obstacle degree of the indicator based on the contribution and deviation: It is expressed by the difference between the ideal value 1 and the standardized value of the secondary indicator, that is, G ij =1-x ij ; It is expressed by the contribution ratio of deviation of a single secondary indicator, that is:

[0064]

[0065] Among them, K ij is the factor contribution, that is, the weight of a single indicator to the overall goal; W i is the weight of the i-th indicator, P ij is the proportion of the jth region in the i-th indicator, x ij is the normalized value of the initial data, G ij is the indicator deviation (i.e. the difference between the evaluation value of a single indicator factor and 100%), O ij is the obstacle value of the ith indicator to the jth region, that is, the impact of the indicator factor on the sustainable development of the region.

[0066] Furthermore, in step S4, the local Mora index is used to measure and analyze the spatial evolution trend of the main obstacle factors, and the local Moran's index (local Moran's I) is used to analyze the local spatial autocorrelation in the region. The value range of the local Moran's index is usually between -1 and 1, where greater than 0 indicates positive spatial autocorrelation, that is, spatial aggregation of similar values; less than 0 indicates negative spatial autocorrelation, that is, spatial aggregation of different values; equal to 0 indicates spatial randomness, that is, no spatial autocorrelation. The calculation formula is as follows:

[0067]

[0068] in, n is the total number of all regions in the study area, W ij is the weight value of the relevant obstacle factors, is the average value of the obstacle value of all regions in the study area, I i It represents the local Moran index of the ith region. The meaning of the local Moran index is detailed in Table 2.

[0069] Table 2 Meaning of local Moran index

[0070]

[0071] The local Mora index can be used to measure whether the spatial agglomeration or diffusion benefits of the main obstacles to high-quality development of different enterprises in the region are increasing or weakening, and whether the local spatial autocorrelation is increasing or weak. It can provide local governments with countermeasures and suggestions for coordinating the high-quality development of enterprises, thereby providing better theoretical guidance for local governments.

[0072] In another exemplary embodiment, based on the same inventive concept as the method, a system for diagnosing factors of obstacles to high-quality development of an enterprise is provided, comprising:

[0073] Indicator selection module, used to select indicators that affect the high-quality development of enterprises;

[0074] An indicator weight calculation module, used to calculate the weight coefficient of the indicator using an entropy weight method;

[0075] The main obstacle factor selection module is used to use the obstacle degree model to measure and analyze the obstacle degree values ​​of all indicators, and select indicators with high obstacle degree values ​​as the main obstacle factors affecting the high-quality development of enterprises;

[0076] The main obstacle factor prediction module is used to measure and analyze the spatial evolution trend of the main obstacle factors using the local Mora index.

[0077] In another exemplary embodiment, based on the same inventive concept as the method, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the diagnostic method for the factors of obstacles to high-quality development of enterprises provided in the embodiment of the present invention is implemented. Based on this understanding, the technical solution of this embodiment is essentially or part of the technical solution that contributes to the prior art or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0078] In another exemplary embodiment, based on the same inventive concept as the method, a terminal is provided, including a memory and a processor, wherein the memory stores computer instructions that can be executed on the processor, and when the processor executes the computer instructions, the method for diagnosing factors that hinder high-quality development of enterprises provided in an embodiment of the present invention is executed.

[0079] The processor may be a single-core or multi-core central processing unit or a specific integrated circuit, or one or more integrated circuits configured to implement the present invention.

[0080] Embodiments of the subject matter and functional operations described in this specification may be implemented in: tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and their structural equivalents, or a combination of one or more of them. Embodiments of the subject matter described in this specification may be implemented as one or more computer programs, i.e., one or more modules of computer program instructions encoded on a tangible, non-transitory program carrier to be executed by a data processing device or to control the operation of the data processing device. Alternatively or additionally, the program instructions may be encoded on an artificially generated propagated signal, such as a machine-generated electrical, optical, or electromagnetic signal, which is generated to encode and transmit information to a suitable receiver device for execution by the data processing device.

[0081] The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform corresponding functions by operating on input data and generating output. The processes and logic flows can also be performed by special purpose logic circuits, such as FPGAs (field programmable gate arrays) or ASICs (application-specific integrated circuits), and the apparatus can also be implemented as special purpose logic circuits.

[0082] Processors suitable for executing computer programs include, for example, general and / or special microprocessors, or any other type of central processing unit. Typically, the central processing unit will receive instructions and data from a read-only memory and / or a random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Typically, the computer will also include one or more large-capacity storage devices for storing data, such as magnetic disks, magneto-optical disks, or optical disks, or the computer will be operably coupled to this large-capacity storage device to receive data from it or to transmit data to it, or both. However, the computer does not necessarily have such a device. In addition, the computer can be embedded in another device, such as a mobile phone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a global positioning system (GPS) receiver, or a portable storage device such as a universal serial bus (USB) flash drive, just to name a few.

[0083] It should be understood that each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0084] The above specific implementation methods are detailed descriptions of the present invention. It cannot be determined that the specific implementation methods of the present invention are limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, several simple deductions and substitutions can be made without departing from the concept of the present invention, which should be regarded as belonging to the protection scope of the present invention.

Claims

1. A method for diagnosing factors that hinder high-quality development of an enterprise, characterized in that: The following steps are involved: S1. Select indicators that affect the high-quality development of enterprises; S2. Calculate the weight coefficient of the indicator using the entropy weight method; S3. Use the obstacle degree model to calculate and analyze the obstacle degree values ​​of all indicators, and select indicators with high obstacle degree values ​​as the main obstacles affecting the high-quality development of enterprises; S4. Use the local Mora index to measure and analyze the spatial evolution trend of the main obstacle factors.

2. According to claim 1, a method for diagnosing obstacles to high-quality development of an enterprise is characterized in that: The indicators selected in step S1 include multi-level indicators, and the multi-level indicators include primary indicators and secondary indicators set under the primary indicators.

3. The method for diagnosing obstacles to high-quality development of an enterprise according to claim 2 is characterized in that: The first-level indicators include economic benefits, environmental benefits, social benefits, innovation capabilities and development potential.

4. According to claim 1, a method for diagnosing obstacles to high-quality development of an enterprise is characterized in that: The entropy weight method is used in step S2 to calculate the weight coefficient of the indicator, including: Set the initial values ​​of the evaluation indicators and standardize them; Calculate the index proportion and information entropy; The indicator weight is calculated according to the information entropy.

5. According to claim 4, a method for diagnosing obstacles to high-quality development of an enterprise is characterized in that: In step S3, the obstacle degree model is used to calculate and analyze the obstacle degree values ​​of all indicators, including: Calculate the contribution and deviation of the indicator; The obstacle degree of the indicator is calculated based on the contribution degree and the deviation degree.

6. According to claim 5, a method for diagnosing obstacles to high-quality development of an enterprise is characterized in that: The contribution of the indicator is the product of the single-layer weight of the secondary indicator and the weight of the primary indicator to which it belongs.

7. The method for diagnosing obstacles to high-quality development of an enterprise according to claim 1 is characterized in that: The step S4 uses the local Mora index to measure and analyze the spatial evolution trend of the main obstacle factors, including: Analyze the trend of spatial agglomeration or diffusion benefits of major obstacle factors and local spatial autocorrelation.

8. A diagnostic system for factors hindering high-quality development of enterprises, characterized by: include: Indicator selection module, used to select indicators that affect the high-quality development of enterprises; An indicator weight calculation module, used to calculate the weight coefficient of the indicator using an entropy weight method; The main obstacle factor selection module is used to use the obstacle degree model to measure and analyze the obstacle degree values ​​of all indicators, and select indicators with high obstacle degree values ​​as the main obstacle factors affecting the high-quality development of enterprises; The main obstacle factor prediction module is used to measure and analyze the spatial evolution trend of the main obstacle factors using the local Mora index.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, it implements the method for diagnosing factors that hinder high-quality development of an enterprise as described in any one of claims 1 to 7.

10. A terminal comprising a memory and a processor, wherein the memory stores computer instructions that can be executed on the processor, characterized in that: When the processor runs computer instructions, it executes the method for diagnosing factors that hinder the high-quality development of an enterprise as described in any one of claims 1-7.

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