CN114266479A - Entropy analysis-based regional high and new technology industry assessment method - Google Patents
Entropy analysis-based regional high and new technology industry assessment method Download PDFInfo
- Publication number
- CN114266479A CN114266479A CN202111584559.XA CN202111584559A CN114266479A CN 114266479 A CN114266479 A CN 114266479A CN 202111584559 A CN202111584559 A CN 202111584559A CN 114266479 A CN114266479 A CN 114266479A
- Authority
- CN
- China
- Prior art keywords
- new technology
- technology industry
- index value
- index
- regional
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an entropy analysis-based regional high and new technology industry evaluation method, which comprises the following steps: constructing a model for evaluating regional high and new technology industries; determining an index system for regional high and new technology industry evaluation; acquiring each index value of regional high and new technology industry evaluation; inputting each index value of the regional high and new technology industry evaluation into a corresponding evaluation model respectively, and then outputting the result of the regional high and new technology industry evaluation index value; and finally integrating the output index values into a comprehensive score of an overall index system for regional high and new technology industry evaluation, and comparing and analyzing the development difference of the high and new technology industry in different time and space regions. According to the invention, through the entropy calculation method, the deviation caused by subjective weighting is avoided, objective weighting can be carried out according to the difference between different indexes, the reliability of the evaluation result is enhanced, and a certain reference significance is provided for the evaluation of regional high and new technology industries and the formulation of related policies.
Description
Technical Field
The invention relates to an entropy analysis-based regional high and new technology industry evaluation method.
Technical Field
In recent years, the development of high and new technology industries in China rapidly becomes a new navigation mark for transformation and upgrading of the industries, and with the acceleration of the regional integration process, the development of the high and new technology industries reflects the innovation capability and level of a region to a certain extent, so that a scientific and reasonable method is urgently needed for evaluating the development status of the high and new technology industries in the region.
In the conventional evaluation method, the subjectivity of artificial experience assignment exists in the aspect of index weight design, so that the evaluation result is inevitably subjected to certain deviation, therefore, in order to enable the evaluation result to have higher accuracy and objectivity, the method disclosed by the invention uses an entropy analysis method to objectively weight the evaluation result according to the difference between different indexes, and the method not only evaluates the scientificity of the development of the high and new technology industry, but also provides a basis for optimizing the existing policy in a region and provides reference for implementing the future policy.
Disclosure of Invention
The invention aims to provide a high and new technology industry evaluation method based on entropy analysis.
In order to solve the above problems, the present invention provides an entropy analysis-based regional high and new technology industry assessment method, including:
constructing a model for evaluating regional high and new technology industries;
determining an index system for regional high and new technology industry evaluation;
acquiring each index value of regional high and new technology industry evaluation;
inputting each index value of the regional high and new technology industry evaluation into a corresponding evaluation model respectively, and then outputting the result of the regional high and new technology industry evaluation index value;
and finally integrating the output index values into a comprehensive score of an overall index system for regional high and new technology industry evaluation, and comparing and analyzing the development difference of the high and new technology industry in different time and space regions.
Further, in the above method, the analytical model is
It means that for a certain region i, the score under the j index term is normalized by the value yijMultiplied by a weight value wijAll the index scores are added to obtain a total score Ti. The former number is multiplied by 100, so that the final result is converted into a percentile system in consideration of the evaluation habits of people, and the result is more visual.
Further, in the above method, y isijThe calculation formula of (a) is as follows:
Further, in the above method, w isijThe calculation comprises the following steps:
calculating the specific gravity P of the index value of the ith scheme under the jth indexij；
Determining the entropy E of the jth indexj；
Obtaining the difference coefficient G of the j indexi；
Obtaining weight values
Further, in the above method, the index system for regional high and new technology industry evaluation comprises: the method is characterized by comprising the following steps of high and new technology industry financial input, high and new technology industry human input, high and new technology industry scale output, high and new technology industry economic output and high and new technology industry innovation output.
Further, in the above method, the obtaining of each index value of the regional high and new technology industry assessment includes:
the method for acquiring the index value of the regional high and new technology industry financial investment comprises the following steps: research and experimental development investment (R & D) and research and experimental development investment account for GDP weight;
the method for acquiring the index value of the regional high and new technology industry human input comprises the following steps: the number of developing workers;
the method for obtaining the index value of the regional high and new technology industrial scale output comprises the following steps: the number of high and new technology enterprises and the proportion of the high and new technology enterprises occupying industrial enterprises on a large scale;
the method for acquiring the index value of the economic output of the regional high and new technology industry comprises the following steps: the high and new technology industry output value and the technology contract amount;
the method for acquiring the index value of the innovation output of the regional high and new technology industry comprises the following steps: number of patent applications and number of patent grants.
Further, in the above method, the inputting each index value of the regional high and new technology industry assessment into the corresponding assessment model, and outputting the result of the regional high and new technology industry assessment index value includes:
outputting each index value of the financial investment of the high and new technology industry of the city contained in the area;
outputting each index value of the labor input of the urban high and new technology industry contained in the area;
outputting each index value produced in the urban high and new technology industrial scale contained in the area;
outputting each index value of economic output of the urban high and new technology industry contained in the area;
and outputting each index value of the innovative output of the urban high and new technology industry contained in the area.
Further, in the above method, the integrating the output index values into a comprehensive score of an overall index system for regional high and new technology industry evaluation, and the contrastively analyzing the differences of the development of the high and new technology industry in different time and space regions includes: weighting the regional high and new technology industry financial input index value, the high and new technology industry human input index value, the high and new technology industry scale output index value, the high and new technology industry economic output index value and the high and new technology industry innovation output index value to obtain the comprehensive score of the whole index system evaluated by the regional high and new technology industry, and then comparing and analyzing the differences of the urban high and new technology industry development contained in different time space regions.
Compared with the prior art, the invention provides an entropy analysis-based regional high and new technology industry evaluation method, which comprises the following steps: constructing a model for evaluating regional high and new technology industries; determining an index system for regional high and new technology industry evaluation; acquiring each index value of regional high and new technology industry evaluation; inputting each index value of the regional high and new technology industry evaluation into a corresponding evaluation model respectively, and then outputting the result of the regional high and new technology industry evaluation index value; and finally integrating the output index values into a comprehensive score of an overall index system for regional high and new technology industry evaluation, and comparing and analyzing the development difference of the high and new technology industry in different time and space regions. The invention carries out objective weighting according to the difference between different indexes by using an entropy analysis method, and the method not only judges the scientificity of the development of the high and new technology industry, but also provides a basis for the existing policy optimization in the region and provides reference for the implementation of future policies.
Drawings
FIG. 1 is a flow chart of a method for evaluating the regional high and new technology industry based on entropy analysis according to the present invention;
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1, the present invention provides an entropy analysis-based regional high and new technology industry assessment method, which includes:
step S1, constructing a model for regional high and new technology industry evaluation;
step S2, determining an index system for regional high and new technology industry evaluation;
step S3, acquiring each index value of regional high and new technology industry evaluation;
step S4, inputting each index value of the regional high and new technology industry evaluation into the corresponding evaluation model, and then outputting the result of the regional high and new technology industry evaluation index value;
and step S5, finally integrating the output index values into a comprehensive score of an overall index system for regional high and new technology industry evaluation, and comparing and analyzing the development differences of the high and new technology industry in different time and space regions.
In an embodiment of the method for evaluating the regional high and new technology industry based on entropy analysis, the analysis model is
It means that for a certain region i, the score under the j index term is the standardQuantified value yijMultiplied by a weight value wijAll the index scores are added to obtain a total score Ti. The former number is multiplied by 100, so that the final result is converted into a percentile system in consideration of the evaluation habits of people, and the result is more visual.
In an embodiment of the entropy analysis-based regional high and new technology industry assessment method, y isijThe calculation formula of (a) is as follows:
In an embodiment of the entropy analysis-based regional high and new technology industry assessment method, w isijThe calculation comprises the following steps:
calculating the specific gravity P of the index value of the ith scheme under the jth indexij；
Determining the entropy E of the jth indexj；
Obtaining the difference coefficient G of the j indexi；
Obtaining weight values
In an embodiment of the method for evaluating a regional high and new technology industry based on entropy analysis, an index system for evaluating the regional high and new technology industry includes: the method is characterized by comprising the following steps of high and new technology industry financial input, high and new technology industry human input, high and new technology industry scale output, high and new technology industry economic output and high and new technology industry innovation output.
In an embodiment of the method for evaluating a regional high and new technology industry based on entropy analysis, the obtaining of each index value of the regional high and new technology industry evaluation includes:
the method for acquiring the index value of the regional high and new technology industry financial investment comprises the following steps: research and experimental development investment (R & D) and research and experimental development investment account for GDP weight;
the method for acquiring the index value of the regional high and new technology industry human input comprises the following steps: the number of developing workers;
the method for obtaining the index value of the regional high and new technology industrial scale output comprises the following steps: the number of high and new technology enterprises and the proportion of the high and new technology enterprises occupying industrial enterprises on a large scale;
the method for acquiring the index value of the economic output of the regional high and new technology industry comprises the following steps: the high and new technology industry output value and the technology contract amount;
the method for acquiring the index value of the innovation output of the regional high and new technology industry comprises the following steps: number of patent applications and number of patent grants.
In an embodiment of the method for evaluating a regional high and new technology industry based on entropy analysis, the step of inputting each index value of the regional high and new technology industry evaluation into a corresponding evaluation model, and outputting a result of the regional high and new technology industry evaluation index value includes:
outputting each index value of the financial investment of the high and new technology industry of the city contained in the area;
outputting each index value of the labor input of the urban high and new technology industry contained in the area;
outputting each index value produced in the urban high and new technology industrial scale contained in the area;
outputting each index value of economic output of the urban high and new technology industry contained in the area;
and outputting each index value of the innovative output of the urban high and new technology industry contained in the area.
In an embodiment of the method for evaluating a regional high and new technology industry based on entropy analysis, the integrating the output index values into a comprehensive score of an overall index system for evaluating the regional high and new technology industry includes: weighting the regional high and new technology industry financial input index value, the high and new technology industry human input index value, the high and new technology industry scale output index value, the high and new technology industry economic output index value and the high and new technology industry innovation output index value to obtain the comprehensive score of the whole index system evaluated by the regional high and new technology industry, and then comparing and analyzing the differences of the urban high and new technology industry development contained in different time space regions.
In summary, the present invention provides an entropy analysis-based regional high and new technology industry assessment method, which includes: constructing a model for evaluating regional high and new technology industries; determining an index system for regional high and new technology industry evaluation; acquiring each index value of regional high and new technology industry evaluation; inputting each index value of the regional high and new technology industry evaluation into a corresponding evaluation model respectively, and then outputting the result of the regional high and new technology industry evaluation index value; and finally integrating the output index values into a comprehensive score of an overall index system for regional high and new technology industry evaluation, and comparing and analyzing the development difference of the high and new technology industry in different time and space regions. The invention carries out objective weighting according to the difference between different indexes by using an entropy analysis method, and the method not only judges the scientificity of the development of the high and new technology industry, but also provides a basis for the existing policy optimization in the region and provides reference for the implementation of future policies.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. An entropy analysis-based regional high and new technology industry assessment method is characterized by comprising the following steps:
constructing a model for evaluating regional high and new technology industries;
determining an index system for regional high and new technology industry evaluation;
acquiring each index value of regional high and new technology industry evaluation;
inputting each index value of the regional high and new technology industry evaluation into a corresponding evaluation model respectively, and then outputting the result of the regional high and new technology industry evaluation index value;
and finally integrating the output index values into a comprehensive score of an overall index system for regional high and new technology industry evaluation, and comparing and analyzing the development difference of the high and new technology industry in different time and space regions.
2. The method for evaluating regional high and new technology industries based on entropy analysis of claim 1, wherein the model is as follows:
it means that for a certain region i, the score under the j index term is normalized by the value yijMultiplied by a weight value wijAll the index scores are added to obtain a total score Ti. The former number is multiplied by 100, so that the final result is converted into a percentile system in consideration of the evaluation habits of people, and the result is more visual.
3. The method for evaluating regional high and new technology industries based on entropy analysis of claim 2,said yijThe calculation formula of (a) is as follows:
wherein (i ∈ m, j ∈ n) XijThe meaning of representing the raw data is: the size of the jth index of the ith area. MAX and MIN represent the maximum and minimum values of data in different areas under an index item.
4. The method according to claim 2, wherein w is an entropy analysis-based assessment method for regional high-tech industryijThe calculation comprises the following steps:
calculating the specific gravity P of the index value of the ith scheme under the jth indexij；
Determining the entropy E of the jth indexj；
Obtaining the difference coefficient G of the j indexi；
Obtaining weight values
5. The method according to claim 1, wherein the determining an index system for evaluating regional high-tech industry comprises: the method is characterized by comprising the following steps of high and new technology industry financial input, high and new technology industry human input, high and new technology industry scale output, high and new technology industry economic output and high and new technology industry innovation output.
6. The method according to claim 1, wherein the obtaining of each index value of the regional high and new technology industry assessment comprises:
the method for acquiring the index value of the regional high and new technology industry financial investment comprises the following steps: research and experimental development investment (R & D) and research and experimental development investment account for GDP weight;
the method for acquiring the index value of the regional high and new technology industry human input comprises the following steps: the number of developing workers;
the method for obtaining the index value of the regional high and new technology industrial scale output comprises the following steps: the number of high and new technology enterprises and the proportion of the high and new technology enterprises occupying industrial enterprises on a large scale;
the method for acquiring the index value of the economic output of the regional high and new technology industry comprises the following steps: the high and new technology industry output value and the technology contract amount;
the method for acquiring the index value of the innovation output of the regional high and new technology industry comprises the following steps: number of patent applications and number of patent grants.
7. The method according to claim 1, wherein the inputting each index value of the regional high and new technology industry assessment into the corresponding assessment model, and outputting the result of the regional high and new technology industry assessment index value comprises:
outputting each index value of the financial investment of the high and new technology industry of the city contained in the area;
outputting each index value of the labor input of the urban high and new technology industry contained in the area;
outputting each index value produced in the urban high and new technology industrial scale contained in the area;
outputting each index value of economic output of the urban high and new technology industry contained in the area;
and outputting each index value of the innovative output of the urban high and new technology industry contained in the area.
8. The method according to claim 1, wherein the integrating of the output index values into the overall score of the overall index system for regional high-tech industry assessment comprises the following steps: weighting the regional high and new technology industry financial input index value, the high and new technology industry human input index value, the high and new technology industry scale output index value, the high and new technology industry economic output index value and the high and new technology industry innovation output index value to obtain the comprehensive score of the whole index system evaluated by the regional high and new technology industry, and then comparing and analyzing the differences of the urban high and new technology industry development contained in different time space regions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111584559.XA CN114266479A (en) | 2021-12-22 | 2021-12-22 | Entropy analysis-based regional high and new technology industry assessment method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111584559.XA CN114266479A (en) | 2021-12-22 | 2021-12-22 | Entropy analysis-based regional high and new technology industry assessment method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114266479A true CN114266479A (en) | 2022-04-01 |
Family
ID=80829089
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111584559.XA Pending CN114266479A (en) | 2021-12-22 | 2021-12-22 | Entropy analysis-based regional high and new technology industry assessment method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114266479A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117436726A (en) * | 2023-12-14 | 2024-01-23 | 惠民县黄河先进技术研究院 | Regional high and new technology industry evaluation method and system |
-
2021
- 2021-12-22 CN CN202111584559.XA patent/CN114266479A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117436726A (en) * | 2023-12-14 | 2024-01-23 | 惠民县黄河先进技术研究院 | Regional high and new technology industry evaluation method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108874959B (en) | User dynamic interest model building method based on big data technology | |
| CN107730131B (en) | Capability prediction and recommendation method and device for crowdsourced software developers | |
| Fowler et al. | Reassessing and revising commuting zones for 2010: History, assessment, and updates for US ‘labor-sheds’ 1990–2010 | |
| Tam et al. | Selection of vertical formwork system by probabilistic neural networks models | |
| CN115358034A (en) | Intelligent arrangement method and system based on BIM (building information modeling) comprehensive optimization design | |
| CN102522709A (en) | Decision-making method and decision-making system for state overhaul of transformers | |
| CN110942171A (en) | Enterprise labor and resource dispute risk prediction method based on machine learning | |
| Gomes | Multicriteria ranking of urban transportation system alternatives | |
| CN114266479A (en) | Entropy analysis-based regional high and new technology industry assessment method | |
| Lorenz et al. | Fractal aesthetics in architecture | |
| CN113935535A (en) | Principal component analysis method for medium-and-long-term prediction model | |
| CN112150094A (en) | Model training method, model-based evaluation method and model-based evaluation device | |
| CN113869732A (en) | Scientific and technological project industrialization evaluation method based on factor analysis method | |
| CN113889262A (en) | Model-based data prediction method and device, computer equipment and storage medium | |
| CN113326863A (en) | Building structure health condition detection method and system and repairing scheme determination method | |
| CN108446841A (en) | A kind of systems approach determining accident factor hierarchical structure using grey correlation | |
| CN108694521A (en) | Individual risk's pricing method and system | |
| Tam et al. | Decision making and operations research techniques for construction management | |
| CN112950048A (en) | National higher education system health evaluation based on fuzzy comprehensive evaluation | |
| CN112200459A (en) | Power distribution network data quality analysis and evaluation method and system | |
| CN116725501A (en) | Underground and shielded space rescue personnel state monitoring system efficiency evaluation method | |
| CN107239907B (en) | Method, device and system for evaluating comprehensive disaster bearing capacity of town | |
| CN114880217A (en) | Component quality evaluation method of application software | |
| Zaabar et al. | A two-phase part family formation model to optimize resource planning: a case study in the electronics industry | |
| Lee et al. | Effective practice utilization using performance prediction software |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication |